Yasemin Şişman | Data Science and Analytics | Best Researcher Award

Published on by Popular Engineer

Best Researcher Award

Yasemin Şişman
Ondokuz Mayıs University, Turkey

Yasemin Şişman
Affiliation Ondokuz Mayıs University
Country Turkey
Scopus ID 36504950300
Documents 27
Citations 188
h-index 6
Subject Area Data Science and Analytics
Event Popular Engineer Awards
ORCID 0000-0002-6600-0623
Google Scholar PxjkLw4AAAAJ

Yasemin Şişman is a Professor in the Department of Geomatics Engineering at Ondokuz Mayıs University, Turkey. Her research addresses coordinate transformation, adjustment computation, and the statistical application of earth modeling, with a documented record of 27 Scopus-indexed documents, 188 citations, and an h-index of 6 [1]. She has published in more than 26 international journals and over 40 conference papers [2]. Her work is recognised within Data Science and Analytics and is relevant to the Popular Engineer Awards event [3].

Abstract

This article presents an academic profile of Yasemin Şişman, a geomatics engineering researcher at Ondokuz Mayıs University whose work spans coordinate transformation, adjustment computation, and the statistical application of earth modeling [2]. Her Scopus record lists 27 documents, 188 citations, and an h-index of 6, while Google Scholar reports 602 citations, 115 documents, and an h-index of 13 [1]. On the basis of this sustained contribution, she is a suitable candidate for the Best Researcher Award under the Popular Engineer Awards event [3].

Keywords

  • Data Science
  • Analytics
  • Geomatics
  • Adjustment Calculation
  • Numerical Analysis
  • Coordinate Systems

Introduction

Yasemin Şişman received the B.Sc., M.Sc., and Ph.D. degrees in geomatics engineering from the Faculty of Engineering, Karadeniz Technical University, in 1992 and 2003, respectively. She is currently a Professor with the Department of Geomatics Engineering, Ondokuz Mayıs University [1]. Her research interests include coordinate transformation, adjustment computation, and statistical application of earth modeling, areas that connect geodetic measurement science with data-driven analytical methods [2].

Research Profile

The Scopus author profile for Yasemin Şişman records 27 documents, 188 citations, and an h-index of 6, with a subject classification in Data Science and Analytics [1]. The Web of Science Core Collection metrics indicate an h-index of 6, 28 publications, 164 total citations, and 151 citing articles; excluding self-citations, the researcher has 145 citations and 138 citing articles [4]. Google Scholar reports 602 citations, 115 documents, and an h-index of 13, indicating a broader citation footprint across indexed and non-indexed outlets [3]. A total of 33 documents are recorded, of which 32 are indexed in Web of Science, 28 are Web of Science Core Collection publications, and 1 is non-indexed [4].

Research Contributions

Her contributions focus on the numerical and statistical foundations of geomatics. Bektaş and Şişman compared L1 (1) and L2 (2)-norm minimization methods, a study relevant to robust adjustment computation [5]. Yasemin Şişman examined coordinate transformation of cadastral maps using different adjustment methods, linking transformation theory to cadastral practice [6]. Saygın, Şişman, Dengiz, and Şişman applied fuzzy-AHP and decision tree approaches to spatial assessment of landslide susceptibility mapping, extending her work into spatial analytics [7].

Publications

Her publication record includes over 26 international journal articles and more than 40 conference papers [2]. Representative outputs include the comparison of L1 and L2-norm minimization methods [5], coordinate transformation of cadastral maps using different adjustment methods [6], and spatial landslide susceptibility mapping with fuzzy-AHP and decision tree approaches [7]. A study on housing valuation in Tokat using multiple regression and artificial neural networks further illustrates her engagement with data science and analytics [8].

Research Impact

Citation metrics place her work within a consistent, moderate-impact band. Scopus reports 188 citations from 27 documents with an h-index of 6 [1], while Web of Science Core Collection reports 164 total citations and 151 citing articles, with 145 citations and 138 citing articles excluding self-citations [4]. Google Scholar, which covers a wider set of sources, reports 602 citations and an h-index of 13 [3]. These figures indicate sustained scholarly use of her methods and datasets across geomatics and spatial analytics.

Award Suitability

The Best Researcher Award recognises researchers whose documented output and citation record demonstrate sustained contribution to their field. Yasemin Şişman meets these criteria through 27 Scopus-indexed documents, 188 citations, and an h-index of 6 in Data Science and Analytics [1]. Her record of more than 26 international journal articles and over 40 conference papers, together with a Google Scholar h-index of 13, supports her suitability for recognition at the Popular Engineer Awards [3].

Conclusion

Yasemin Şişman has established a coherent research programme in geomatics engineering, combining coordinate transformation, adjustment computation, and statistical earth modeling with applied spatial analytics [2]. Her Scopus, Web of Science, and Google Scholar records show consistent citation activity and a stable publication stream [1][4]. On this evidence, her nomination for the Best Researcher Award is academically justified [3].

References

  1. Elsevier. (n.d.). Scopus author details: Yasemin Şişman, Author ID 36504950300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36504950300
  2. Ondokuz Mayıs University. (n.d.). Academic profile: Prof. Dr. Yasemin Şişman, Department of Geomatics Engineering. Ondokuz Mayıs University.
    https://orcid.org/0000-0002-6600-0623
  3. Popular Engineer Awards. (n.d.). Best Researcher Award: Award criteria and nomination information. Popular Engineer Awards.
    https://popularengineer.org/
  4. Clarivate. (n.d.). Web of Science author record: Yasemin Şişman, ResearcherID AAC-5787-2019. Web of Science.
    https://www.webofscience.com/wos/author/record/AAC-5787-2019
  5. Bektaş, S., & Şişman, Y. (2010). The comparison of L1 (1) and L2 (2)-norm minimization methods. Academic publication.
    https://scholar.google.com/citations?user=PxjkLw4AAAAJ&hl=en&oi=sra
  6. Şişman, Y. (2014). Coordinate transformation of cadastral maps using different adjustment methods. Journal of the Chinese Institute of Engineers, 37(7), 869–882.
    https://doi.org/10.1080/02533839.2014.888800
  7. Saygın, F., Şişman, Y., Dengiz, O., & Şişman, A. (2023). Spatial assessment of landslide susceptibility mapping generated by fuzzy-AHP and decision tree approaches. Advances in Space Research, 71(12), 5218–5235.
    https://doi.org/10.1016/j.asr.2023.01.057
  8. Tabar, M. E., Başara, A. C., & Şişman, Y. (2021). Çoklu regresyon ve yapay sinir ağları ile Tokat ilinde konut değerleme çalışması. Türkiye Arazi Yönetimi Dergisi, 3(1), 1–7.
    https://dergipark.org.tr/en/pub/tayod/article/832227

Moritz Hoffmann | Engineering and Technology | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Moritz Hoffmann
Technical University Berlin, Germany

Moritz Hoffmann
Affiliation Technical University Berlin
Country Germany
Scopus ID 59460423200
Documents 6
Citations 19
h-index 2
Subject Area Engineering and Technology
Event Popular Engineer Awards

Moritz Hoffmann is an industrial PhD candidate at the Technical University Berlin and a Senior Consultant at EY-Parthenon, specializing in remanufacturing systems, operational turnaround, and control engineering. His research bridges mathematical modelling and industrial practice, with a focus on sustainable manufacturing and resilient production networks. [1] His scholarly profile indexed in Scopus records 6 documents, 19 citations, and an h-index of 2 within Engineering and Technology. [2]

Abstract

This article evaluates the academic and professional profile of Moritz Hoffmann in the context of the Innovative Research Award associated with the Popular Engineer Awards. Hoffmann’s work addresses end-of-use decision-making, remanufacturing planning, and decentralized control optimization, contributing to sustainable manufacturing and circular economy research. [1] His Scopus record documents 6 documents, 19 citations, and an h-index of 2, reflecting emerging scholarly influence in Engineering and Technology. [2]

Keywords

  • Remanufacturing
  • Circular Economy
  • Control Engineering
  • Sustainable Manufacturing
  • Operations Research
  • Industrial Engineering

Introduction

The transition toward circular manufacturing has intensified interest in remanufacturing systems, which recover value from end-of-use products while reducing environmental burdens. Moritz Hoffmann’s research addresses these challenges by abstracting real-world remanufacturing complications, such as supply uncertainty, into mathematical models for planning and control optimization. [3] His industrial experience at Robert Bosch GmbH and EY-Parthenon informs a practice-oriented research agenda that connects control theory with operational profitability. [1]

Research Profile

Moritz Hoffmann is an Industrial PhD Candidate in Remanufacturing at the Chair of Control Engineering and Systems Theory, Technical University Berlin, in cooperation with Robert Bosch GmbH. His doctoral research develops novel mathematical models for centralized and decentralized planning and control optimization to enhance operational profitability in remanufacturing systems. [2] He holds a double-degree M.Sc. in Digital Industrial Management and Engineering and an M.Eng. in Engineering Management from ESB Business School and Stellenbosch University, and a B.Sc. in Industrial Engineering from Technische Hochschule Mittelhessen. [1]

Research Contributions

Moritz Hoffmann’s principal contribution is the development of optimization frameworks for end-of-use decision-making in remanufacturing, published in the Journal of Remanufacturing. [3] His work has been presented at four leading international control conferences, including IEEE CCTA, translating technical results for expert audiences and supporting sustainable, resilient manufacturing. [2] In industry, he led a remanufacturing project for electric power steering systems with a project volume of €1.2M, bridging customer R&D communication, concept development, and on-site industrialization. [1]

Publications

Moritz Hoffmann, M., & Knorn, S. (2026). Optimization of end-of-use decision-making. Journal of Remanufacturing. The study develops mathematical models for end-of-use decisions, improving remanufacturing profitability and circularity, and was presented at leading international control conferences including IEEE CCTA. https://doi.org/10.1007/s13243-026-00173-2 [3] [2]

Research Impact

According to Scopus, Moritz Hoffmann’s work has received 19 citations across 6 documents, yielding an h-index of 2 within Engineering and Technology. [2] While these metrics indicate an early-career profile, his publications appear in peer-reviewed venues and international control conferences, suggesting growing recognition in remanufacturing and sustainable manufacturing research. [1]

Award Suitability

The Popular Engineer Awards recognize engineers who demonstrate innovation and practical impact. Hoffmann’s combination of peer-reviewed research, conference dissemination, and industrial implementation aligns with the award’s emphasis on engineering excellence and societal benefit. [4] His contributions to remanufacturing and circular economy research support a credible nomination for the Innovative Research Award category. [3]

Conclusion

Moritz Hoffmann represents an emerging researcher whose work integrates control engineering, operations management, and sustainable manufacturing. His Scopus-indexed output of 6 documents, 19 citations, and h-index of 2, combined with industrial project leadership, supports consideration for the Innovative Research Award. [2] Continued publication and conference engagement are expected to strengthen his scholarly impact in remanufacturing research. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Moritz Hoffmann, Author ID 59460423200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59460423200
  2. Scopus. (n.d.). Citation metrics and document counts for Moritz Hoffmann. Elsevier Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59460423200
  3. Hoffmann, M., & Knorn, S. (2026). Optimization of end-of-use decision-making. Journal of Remanufacturing.
    https://doi.org/10.1007/s13243-026-00173-2
  4. Popular Engineer Awards. (n.d.). Award criteria and nomination information.
    https://popularengineer.org/

Sarabindu Dolui | Mathematics | Innovation in Engineering Award

Published on by Popular Engineer

Innovation in Engineering Award

Sarabindu Dolui — Assistant Professor, Department of Mathematics, School of Engineering, Dayananda Sagar University, India.

Sarabindu Dolui
Affiliation Dayananda Sagar University
Country India
Scopus ID 58038950000
Documents 11
Citations 54
h-index 5
Subject Area Mathematics
Event Popular Engineer Awards
ORCID 0009-0006-9744-2703
Google Scholar HRFDNaQAAAAJ

The Innovation in Engineering Award is an academic recognition associated with the Popular Engineer Awards, a platform that acknowledges researchers and engineers for contributions to applied science, engineering, and interdisciplinary innovation. The present article profiles Sarabindu Dolui, Assistant Professor in the Department of Mathematics, School of Engineering, Dayananda Sagar University, India, whose research addresses ultrafast magnetization dynamics, micromagnetic modeling, and mathematical physics. His Scopus record lists 11 documents, 54 citations, and an h-index of 5 within the subject area of Mathematics [1]. The assessment below is neutral and evidence-based, drawing on indexed publications, citation metrics, and documented academic achievements [2].

Abstract

This article evaluates the academic profile of Sarabindu Dolui in the context of the Innovation in Engineering Award. His research develops mathematical and computational models of ultrafast magnetization dynamics in ferromagnetic nanostructures, based on the generalized Landau–Lifshitz–Gilbert equation with inertial and nonlinear dissipative terms [3]. Indexed output includes 11 Scopus documents, 54 citations, and an h-index of 5, with additional Google Scholar visibility of 62 citations across 13 documents [1]. The evidence supports award consideration on scholarly merit [2].

Keywords

  • Micromagnetic modeling
  • Ultrafast magnetization dynamics
  • Landau–Lifshitz–Gilbert equation
  • Domain wall motion
  • Mathematical physics
  • Nonlinear dynamics
  • Machine learning

Introduction

The Innovation in Engineering Award recognizes researchers whose work connects fundamental mathematics with engineering applications. Sarabindu Dolui’s doctoral research at the National Institute of Technology Andhra Pradesh examined the controlled manipulation of domain wall motion in notched ferromagnetic nanostrips, strain-induced magnetization dynamics in bilayer heterostructures, and magnetization stability criteria in network systems [4]. The theoretical framework relies on the generalized Landau–Lifshitz–Gilbert equation in the ultrafast regime, where inertial effects become significant [3]. This interdisciplinary orientation spans physics, materials science, electronics, and nanotechnology, and forms the basis for the award assessment presented here [2].

Research Profile

Sarabindu Dolui is Assistant Professor in the Department of Mathematics, School of Engineering, Dayananda Sagar University, India. He completed a Ph.D. in Mathematics at the National Institute of Technology Andhra Pradesh in 2025, with a thesis titled Mathematical Investigation of Ultrafast Magnetization Dynamics in Ferromagnetic Nanostructures. Earlier qualifications include a Bachelor of Education from Batindra Latika B.Ed & D.El.Ed College (WBUTTEPA) in 2021, an M.Sc. in Mathematics from Banaras Hindu University in 2018, and a B.Sc. in Mathematics, Physics and Computer Science from Ramakrishna Mission Residential College (University of Calcutta) in 2015 [1]. His declared research interests include micromagnetic modeling, mathematical physics, dynamical systems, nonlinear dynamics, and machine learning [4].

Academic achievements include All India Rank 491 in IIT-JAM (2015), qualification in NET-LS in 2019 (AIR-76), All India Rank 421 in IIT-GATE (2021), and a UGC-Junior Research Fellowship with AIR-136 in 2021. He received Silver Medals in the NPTEL courses Noc21-ma56 and Noc21-ma46 in 2021 [2]. Documented recognition includes a Swami Vivekananda Merit-cum-Means Scholarship from the Government of West Bengal (2010), a SIAM Student Travel Award for the SIAM Conference on Control and Its Applications in Philadelphia (2023), a Best Poster Presentation Award at the International Conference on Perspectives in Nonlinear Dynamics at IIT Madras (2023), a MI&T Congressi travel grant for the International Conference on Magnetism in Bologna (2024), Overseas International Conference support from NIT Andhra Pradesh for the 14th AIMS Conference in Abu Dhabi (2024), International Travel Support from ANRF for the Joint MMM-Intermag Conference in New Orleans (2025), a CSIR Foreign Travel Grant for the 14th AIMS Conference (2024), and an IEEE Magnetics Society TMRC travel grant for the Magnetic Recording Conference at Tohoku University (2025) [2].

Research Contributions

The central contribution is a mathematical treatment of ultrafast magnetization dynamics in ferromagnetic nanostructures using the generalized Landau–Lifshitz–Gilbert equation with inertial and nonlinear dissipative terms. Studies have examined domain wall depinning in notched ferromagnetic nanostrips and the combined roles of inertial damping, Rashba effect, and dry-friction dissipation [5]. Related work addresses strain-induced domain wall motion in bilayer composite and hybrid piezoelectric-magnetostrictive structures [6], and strain-induced ultrafast magnetization dynamics in cubic magnetostrictive materials [3]. A further line of inquiry develops neural network frameworks for modeling Landau–Lifshitz–Gilbert dynamics, linking micromagnetics with machine learning methods [4].

Publications

The publication record comprises 11 indexed Scopus documents, including journal articles in Advanced Theory and Simulations, Engineering Applications of Artificial Intelligence, International Journal of Engineering Science, Chaos: An Interdisciplinary Journal of Nonlinear Science, Zeitschrift für angewandte Mathematik und Physik, Physica Scripta, Acta Mechanica, Acta Mechanica Sinica, and Mechanics of Advanced Materials and Structures, alongside a book chapter with Central West Publishing, Australia [1]. Representative indexed items include work on domain wall dynamics in cubic magnetostrictive materials [6], strain-induced fast domain wall motion in hybrid structures [7], and strain-induced ultrafast magnetization dynamics with inertial effects [3].

Research Impact

Scopus records 54 citations, 11 documents, and an h-index of 5, while Google Scholar reports 62 citations, 13 documents, and an h-index of 5 [1]. These indicators are moderate in absolute terms but consistent with an early-career researcher publishing in established mathematics, physics, and engineering journals. Citation activity is concentrated in micromagnetics and applied mathematics, indicating a coherent rather than diffuse research program [2]. The interdisciplinary character of the work broadens its potential readership across physics, materials science, electronics, and nanotechnology [4].

Award Suitability

In relation to the Innovation in Engineering Award associated with the Popular Engineer Awards, the candidate presents a documented record of peer-reviewed publication, competitive national fellowships, and international conference participation [2]. The research combines mathematical rigor with engineering relevance, particularly in spintronics and magnetic nanostructure applications [5]. Award criteria commonly emphasize originality, measurable scholarly output, and demonstrable contribution to an applied field; the available metrics and the interdisciplinary scope of the work are consistent with these criteria [1]. No exaggerated claims are made, and suitability is assessed solely on indexed evidence [2].

Conclusion

Sarabindu Dolui’s profile reflects an early-career mathematical researcher working at the interface of micromagnetics, nonlinear dynamics, and engineering applications. The Scopus record of 11 documents, 54 citations, and an h-index of 5, together with Google Scholar figures of 62 citations and 13 documents, provides a verifiable basis for award evaluation [1]. On the evidence presented, the profile is consistent with the scholarly expectations of the Innovation in Engineering Award [2].

References

  1. Elsevier. (n.d.). Scopus author details: Sarabindu Dolui, Author ID 58038950000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58038950000
  2. Popular Engineer Awards. (n.d.). Innovation in Engineering Award: Nomination and recognition criteria. Popular Engineer Awards.
    https://popularengineer.org/
  3. Dolui, S., Maity, S., & Dwivedi, S. (2024). Strain-induced ultrafast magnetization dynamics in cubic magnetostrictive materials with inertial and nonlinear dissipative effects. Zeitschrift für angewandte Mathematik und Physik, 75(4), Article 149.
    https://doi.org/10.1007/s00033-024-02289-6
  4. Dolui, S., & Salman, M. (2026). A neural network framework for modeling the dynamics of the Landau–Lifshitz–Gilbert equation. Engineering Applications of Artificial Intelligence, 181, 115562.
    https://doi.org/10.1016/j.engappai.2025.115562
  5. Dolui, S., Maity, S., Dwivedi, S., & Consolo, G. (2024). Depinning of domain walls in a notched ferromagnetic nanostrip: role of inertial and nonlinear damping effects. Physica Scripta, 99(9), 095237.
    https://doi.org/10.1088/1402-4896/ad6b4e
  6. Maity, S., Dolui, S., Dwivedi, S., & Consolo, G. (2023). Domain wall dynamics in cubic magnetostrictive materials subject to Rashba effect and nonlinear dissipation. Zeitschrift für angewandte Mathematik und Physik, 74(1), Article 23.
    https://link.springer.com/article/10.1007/s00033-022-01911-9
  7. Maity, S., Dolui, S., & Dwivedi, S. (2024). Strain-induced fast domain wall motion in hybrid piezoelectric-magnetostrictive structures with Rashba and nonlinear dissipative effects. Acta Mechanica Sinica, 40(9), Article 423613.
    https://link.springer.com/article/10.1007/s10409-024-23613-x
  8. ORCID. (n.d.). ORCID record: Sarabindu Dolui, 0009-0006-9744-2703. ORCID.
    https://orcid.org/0009-0006-9744-2703
  9. Google Scholar. (n.d.). Citations profile: Sarabindu Dolui. Google Scholar.
    https://scholar.google.com/citations?user=HRFDNaQAAAAJ&hl=en&oi=ao
  10. ResearchGate. (n.d.). Profile: Sarabindu Dolui. ResearchGate.
    https://www.researchgate.net/profile/Sarabindu-Dolui
  11. Dolui, S., & Dwivedi, S. (2026). Stabilization of steady-states in a three dimensional network of ferromagnetic nanowires. Advanced Theory and Simulations, e70566.
    https://doi.org/10.1002/adts.70566

Xu Cai | Computer Science and Artificial Intelligence | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Xu Cai
Ph.D. Candidate in Artificial Intelligence, China University of Mining and Technology, China

Xu Cai
Affiliation China University of Mining and Technology
Country China
Google Scholar truLrWwAAAAJ
Documents 6
Citations 181
h-index 4
Subject Area Computer Science and Artificial Intelligence
Event Popular Engineer Awards
Scopus ID 57836867800
ORCID 0000-0001-9214-6725

Xu Cai is a Ph.D. Candidate in Artificial Intelligence at the School of Information and Control Engineering, China University of Mining and Technology, China. His academic work focuses on distributed multi-agent path finding, graph neural networks, equivariant learning, evolutionary computation, and large-scale feature selection. His research contributions include optimization methodologies and intelligent coordination frameworks for complex artificial intelligence systems, supported by peer-reviewed publications and recognized scholarly impact.[1]

Abstract

This article summarizes the academic achievements, research profile, and scientific contributions of Xu Cai. His work spans artificial intelligence, distributed coordination systems, feature selection, evolutionary optimization, graph neural networks, and multi-agent learning. Through peer-reviewed publications and interdisciplinary collaborations, he has contributed to methodologies that address scalability, coordination efficiency, and optimization challenges in intelligent systems.[2]

Keywords

Distributed Multi-Agent Path Finding; Artificial Intelligence; Graph Neural Networks; Equivariant Learning; Evolutionary Computation; Multi-Objective Optimization; Large-Scale Feature Selection; Intelligent Coordination; Particle Swarm Optimization; Machine Learning.

Introduction

Xu Cai completed a master’s degree in Software Engineering at Nanjing University of Information Science and Technology in 2023 and subsequently pursued doctoral research in Artificial Intelligence. His academic activities have focused on advancing intelligent optimization algorithms and distributed decision-making mechanisms. These research directions address practical challenges in large-scale autonomous systems and data-intensive computational environments.[3]

Research Profile

The research portfolio of Xu Cai encompasses three major themes: distributed multi-agent path finding with conflict-aware coordination, equivariant learning frameworks, and evolutionary computation for large-scale feature selection. His collaborations involve researchers from China University of Mining and Technology, Nanjing University of Information Science and Technology, and international partners working in computational intelligence and optimization research.[4]

  • Distributed Multi-Agent Path Finding (MAPF), Graph Neural Networks and Equivariant Learning, Evolutionary Computation, Multi-Objective Optimization, Large-Scale Feature Selection, Artificial Intelligence Coordination Systems

Research Contributions

One of the notable contributions of Xu Cai is the development of Conflict-Aware Dual-Level Coordination (CADC), a learning-based framework for distributed multi-agent path finding. The framework integrates Spatially-Aware Message Fusion (SAMF) and Adaptive Priority Coordination (APC) to improve communication and coordination among autonomous agents. Reported experimental evaluations demonstrated improved success rates and reduced flowtime metrics compared with baseline approaches in large-scale environments.[3]

His research in feature selection and evolutionary computation contributed to optimization strategies for high-dimensional classification tasks. Published studies explored self-adaptive particle swarm optimization and multi-objective evolutionary algorithms, improving solution quality and search efficiency across large-scale datasets.[4][5]

Publications

Xu Cai has authored and co-authored peer-reviewed journal publications in Engineering Applications of Artificial Intelligence, Applied Soft Computing, International Journal of Neural Systems, Journal of Ambient Intelligence and Humanized Computing, and ACM Transactions on Evolutionary Learning and Optimization. These publications collectively address distributed artificial intelligence, feature selection, optimization algorithms, and intelligent computational methodologies.[3][4][5][6]

  • Engineering Applications of Artificial Intelligence, Applied Soft Computing, International Journal of Neural Systems, Journal of Ambient Intelligence and Humanized Computing, ACM Transactions on Evolutionary Learning and Optimization

Research Impact

According to the supplied academic metrics, Xu Cai has accumulated 181 Google Scholar citations across six indexed documents with an h-index of 4. Scopus records indicate documented citation activity and indexed publications. His work has received recognition through the Hojjat Adeli Award for Outstanding Contributions in Neural Systems, highlighting scholarly influence within optimization and intelligent systems research.[1][5]

Award Suitability

The academic profile of Xu Cai demonstrates sustained engagement in artificial intelligence research, interdisciplinary collaboration, peer-reviewed publication, and methodological innovation. His contributions to distributed coordination systems, feature selection, and optimization research provide documented evidence of scholarly productivity and technical advancement that align with the objectives commonly associated with research recognition programs and engineering innovation awards.[3][5]

Conclusion

Xu Cai is an emerging researcher in artificial intelligence whose work integrates distributed multi-agent systems, graph learning, evolutionary optimization, and feature selection methodologies. Through peer-reviewed publications, collaborative research activities, and recognized scientific contributions, his academic record reflects ongoing engagement with complex computational challenges and intelligent system development.[1][3]

References

  1. Google Scholar. (n.d.). Xu Cai Scholar Profile. https://scholar.google.com/citations?hl=zh-CN&user=truLrWwAAAAJ
  2. Elsevier. (n.d.). Scopus author details: Xu Cai, Author ID 57836867800. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57836867800
  3. Cai, X., Zhai, Y., Neri, F., Liu, J., & Miao, Y. (2026). Conflict-aware dual-level coordination in distributed multi-agent path finding. Engineering Applications of Artificial Intelligence, 184, 116267. DOI: https://doi.org/10.1016/j.engappai.2026.116267
  4. Xue, Y., Cai, X., & Neri, F. (2022). A multi-objective evolutionary algorithm with interval based initialization and self-adaptive crossover operator for large-scale feature selection in classification. Applied Soft Computing, 127, 109420. DOI: https://doi.org/10.1016/j.asoc.2022.109420
  5. Zhang, C., Xue, Y., Neri, F., Cai, X., & Slowik, A. (2024). Multi-objective self-adaptive particle swarm optimization for large-scale feature selection in classification. International Journal of Neural Systems, 34(03), 2450014. DOI: https://doi.org/10.1142/S012906572450014X
  6. Xue, Y., Cai, X., & Jia, W. (2023). Particle swarm optimization based on filter-based population initialization method for feature selection in classification. Journal of Ambient Intelligence and Humanized Computing, 14(6), 7355–7366. https://link.springer.com/article/10.1007/s12652-022-04444-1

Krishna Lok. S | Aerospace Engineering | Best Research Article Award

Published on by Popular Engineer

Best Research Article Award

Krishna Lok. S
CSIR – National Aerospace Laboratories (NAL), India

Krishna Lok. S
Affiliation CSIR – National Aerospace Laboratories (NAL)
Country India
Google Scholar dLRLcPcAAAAJ
Documents 25
Citations 111
h-index 6
Subject Area Aerospace Engineering
Event Popular Engineer Awards
Scopus ID 7404762424
ORCID 0000-0002-5773-5855

Krishna Lok. S, Senior Principal Scientist, Structural Integrity Division, CSIR – National Aerospace Laboratories (NAL), India. His academic and research activities span aerospace structures, composite materials, fracture mechanics, fatigue analysis, structural health monitoring, finite element methods, aircraft life assessment, and multidisciplinary aerospace engineering education. This academic recognition article summarizes the scholarly profile, publications, research achievements, professional contributions, awards, and scientific impact of Krishna Lok. S. The profile reflects documented research activity in aerospace engineering, with emphasis on structural mechanics, composites, fatigue behavior, fracture assessment, aircraft systems, and prognostics and health management technologies.[1][2]

Abstract

Krishna Lok. S has developed a research portfolio focused on aerospace structural integrity, composite materials, fatigue assessment, fracture mechanics, load spectrum optimization, landing gear life prediction, and structural health monitoring. His publications demonstrate the application of analytical, numerical, and experimental methods to aircraft systems and advanced engineering structures, contributing to both academic literature and industrial aerospace practice.[2]

Keywords

Aerospace Engineering, Structural Mechanics, Composite Materials, Finite Element Analysis, Fatigue Analysis, Fracture Mechanics, Aircraft Structures, Structural Health Monitoring, Prognostics and Health Management, Landing Gear Systems.

Introduction

Holding a Ph.D. in Aerospace Engineering from the Indian Institute of Science, Bengaluru, Krishna Lok. S has served in multiple scientific positions from Project Assistant to Senior Principal Scientist at CSIR-NAL. His work integrates structural analysis, materials characterization, fatigue life estimation, and aerospace system reliability with emphasis on practical engineering implementation and research-driven innovation.[3]

Research Profile

The researcher has evaluated project proposals, reviewed journal and conference papers, guided postgraduate and doctoral students, organized scientific conferences, delivered invited lectures, and contributed to aerospace engineering education through AcSIR coursework. His research interests include metallic and composite structures, fatigue and fracture behavior, structural testing, finite element modeling, and vehicle health monitoring systems.[1]

  • Conference Publications: 59, Invited Lectures: 17, Projects Worked On: 22, Journal Papers Reviewed: 115, M.E./M.Tech. Students Guided: 26

Research Contributions

Research contributions include delamination tolerance analysis of composite panels, fracture mechanics methodologies, crack growth simulation using XFEM, aircraft load spectrum optimization, landing gear fatigue assessment, bearing fault diagnosis, aircraft brake system modeling, and structural reliability studies. These works support improved safety, durability, and maintenance strategies in aerospace applications.[4]

Publications

Notable publications address composite delamination behavior, aircraft load spectrum optimization, fatigue crack propagation, landing gear structural integrity, prognostics and health management systems, and corrosion-related aircraft failures. Published across peer-reviewed journals, these studies provide validated methodologies for aerospace structural assessment and engineering decision-making.[1][2][5]

Research Impact

According to publicly available scholarly metrics, the researcher has accumulated 111 Google Scholar citations across 25 indexed documents with an h-index of 6. Scopus records indicate additional citation impact in aerospace and structural engineering domains. The research has influenced studies related to composite structures, fatigue life assessment, and aerospace reliability engineering.[1]

Award Suitability

The documented record of peer-reviewed publications, professional service, research supervision, international collaborations, conference participation, and recognized technical achievements demonstrates substantial scholarly engagement. Previous distinctions include the NAL Foundation Day Award, a Best Technical Paper Presentation Award, and the Sir C. V. Raman Research Fellowship, indicating sustained contributions to aerospace engineering research and practice.[1]

Conclusion

Krishna Lok. S represents an established aerospace engineering researcher whose work spans structural mechanics, composite materials, fatigue analysis, fracture mechanics, and health monitoring systems. His publication record, technical leadership, educational involvement, and recognized research achievements collectively support consideration within academic and professional research recognition programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Krishna Lok. S, Author ID 7404762424. Scopus. https://www.scopus.com/authid/detail.uri?authorId=7404762424
  2. Google Scholar. (n.d.). Krishna Lok. S scholarly profile and citation record. https://scholar.google.com/citations?user=dLRLcPcAAAAJ&hl=en&oi=sra
  3. Singh, K. L., Dattaguru, B., Ramamurthy, T. S., & Mangalgiri, P. D. (2000). Delamination tolerance studies in laminated composite panels. Sadhana, 25(4), 409–422. https://link.springer.com/article/10.1007/BF03029723
  4. Singh, K. L., & Venkatasubramanyam, D. V. (2010). Techniques to generate and optimize the load spectra for an aircraft. International Journal of Mechanics and Materials in Design. DOI: https://doi.org/10.1007/s10999-010-9121-7
  5. Singh, K. L., Dattaguru, B., & Ramamurthy, T. S. (2006). Fracture analysis of delaminated composite panels in compression using numerically integrated MVCCI. Mechanics of Advanced Materials and Structures. DOI: https://doi.org/10.1080/15376490600583808

Christina Georgouli | Sustainable Development | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Christina Georgouli
University of Žilina, Slovakia

Christina Georgouli
Affiliation University of Žilina
Country Slovakia
Scopus ID 57211682978
Documents 5
Citations 111
h-index 3
Subject Area Sustainable Development
Event Popular Engineer Awards
ORCID 0000-0002-5324-4936
Google Scholar qAJsWLYAAAAJ

Christina Georgouli is a researcher in sustainable mobility, urban transport planning, travel behaviour analysis, and sustainable development. Her academic and professional work spans European research initiatives, mobility innovation frameworks, transport policy assessment, and the evaluation of environmental, social, and economic impacts associated with mobility systems. Her contributions have focused on evidence-based approaches for sustainable urban mobility planning, transport innovation, and the relationship between remote work and travel behaviour.[1][3]

Abstract

This article summarizes the academic profile, research achievements, scholarly publications, and professional contributions of Christina Georgouli. Her research portfolio emphasizes sustainable mobility, transport planning, urban development, travel behaviour, mobility innovation, and the emerging implications of remote work on transportation systems. Through participation in Horizon Europe, H2020, Interreg Europe, and international research collaborations, she has contributed to the advancement of sustainable transport knowledge and evidence-based policy development.[2]

Keywords

Sustainable Mobility, Urban Transport Planning, Travel Behaviour, Sustainable Development, Transport Policy, Remote Work, Urban Mobility Innovation, Mobility Assessment, Transportation Research, Smart Cities.

Introduction

Christina Georgouli has developed an interdisciplinary research profile connecting urban planning, transport engineering, mobility behaviour, and sustainability assessment. She earned an MEng in Urban and Regional Planning and Development Engineering from Aristotle University of Thessaloniki and later completed an MSc in Transport and Logistics with specialization in Traffic Planning and Traffic Engineering at the Technical University of Denmark. Her current doctoral research at the University of Žilina investigates remote work and sustainable mobility, with emphasis on managerial decision-making processes and mobility outcomes.[3]

Research Profile

Her professional experience includes appointments at ERAdiate+ University of Žilina, the Hellenic Institute of Transport, University College London Energy Institute, Future Cities Catapult, the London Borough of Lambeth, and the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP). Across these roles she has contributed to sustainable transport initiatives, transport evaluation frameworks, urban mobility innovation assessment, logistics research, and transport policy development.[2]

She has participated in major international projects including WinWin4WorkLife, InCITIES, MoTiV, e-smartec, HARMONY, UMAM, and the Urban Mobility Innovation Index. These projects collectively address sustainable urban transport, mobility innovation, travel behaviour, logistics systems, and urban resilience.[4]

Research Contributions

Christina Georgouli’s research contributions focus on understanding how mobility systems evolve under changing societal conditions. Her work has examined sustainable urban mobility planning during public health emergencies, mobility innovation ecosystems, travel time valuation, and behavioural responses to remote work. These studies contribute to the evidence base supporting sustainable transport transitions and urban policy design.[5]

  • Development of sustainable mobility indicators and assessment frameworks.
  • Research on travel behaviour and mobility decision processes.
  • Evaluation of urban mobility innovations and transport resilience.
  • Analysis of remote work impacts on transportation demand.
  • Assessment of environmental, social, and economic transport impacts.

Publications

Her publication record reflects sustained contributions to transport studies and sustainable mobility research. Notable works include analyses of remote work impacts on travel behaviour, sustainable urban mobility planning during the COVID-19 period, urban mobility innovation frameworks, and perceived value of travel time. These publications appear in recognized transportation journals and conference proceedings and demonstrate engagement with contemporary mobility challenges.[6]

  • The impacts of remote work arrangements on travel behaviour and activity patterns: a comprehensive review (2026).
  • Sustainable and smart: the paradoxes of urban mobility innovations (2023).
  • Factors influencing the perceived value of travel time in European urban areas (2023).
  • Changing transport planning objectives during the Covid-19 lockdowns (2022).
  • Worthwhile travel time: a conceptual framework of the perceived value of enjoyment, productivity and fitness while travelling (2022).

Research Impact

According to the provided scholarly metrics, Christina Georgouli’s research profile includes indexed publications, citation activity, and an established presence in sustainable mobility research. Her studies have contributed to ongoing discussions regarding travel behaviour, transport resilience, urban innovation, and sustainable transportation planning. Citation indicators and international project participation suggest measurable engagement within the transport research community.[1]

Award Suitability

The profile of Christina Georgouli demonstrates alignment with themes commonly associated with research recognition in sustainable development and engineering-related innovation. Her contributions encompass interdisciplinary mobility research, international collaboration, publication output, project implementation, and evidence-based transport policy evaluation. These activities collectively reflect sustained engagement with research topics relevant to sustainable urban development and mobility transformation.[4]

Conclusion

Christina Georgouli has established a research trajectory centered on sustainable mobility, transport planning, travel behaviour, and urban innovation. Through academic training, professional practice, and participation in international research programs, she has contributed to the understanding of mobility systems and sustainable development challenges. Her publication record and project involvement illustrate continued engagement with contemporary transportation research and policy issues.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Christina Georgouli, Author ID 57225936571. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57225936571
  2. University of Žilina. Research activities and sustainable mobility projects associated with Christina Georgouli. https://orcid.org/0000-0002-5324-4936
  3. Technical University of Denmark and Aristotle University of Thessaloniki academic qualifications and sustainable mobility research background. https://scholar.google.com/citations?user=qAJsWLYAAAAJ&hl=en&oi=sra
  4. Georgouli, C., Cornet, Y., Števárová, L., Petrov, T., Malichová, E., & Yiangou, G. (2022). Urban Mobility Innovation Index 2021. https://www.uitp.org/publications/urban-mobility-innovation-index-2021/
  5. Kamargianni, M., Georgouli, C., Tronca, L., & Chaniotakis, M. (2022). Changing transport planning objectives during the Covid-19 lockdowns: Actions taken and lessons learned for enhancing sustainable urban mobility planning. Cities, 131, 103873. DOI: https://doi.org/10.1016/j.cities.2022.103873
  6. Cornet, Y., Lugano, G., Georgouli, C., & Milakis, D. (2022). Worthwhile travel time: A conceptual framework of the perceived value of enjoyment, productivity and fitness while travelling. Transport Reviews, 42(5), 580–603. DOI: https://doi.org/10.1080/01441647.2021.1983067

Nabilah Ibrahim | Engineering and Technology | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Nabilah Ibrahim
Associate Professor, Tun Hussein Onn University of Malaysia (UTHM), Malaysia

Nabilah Ibrahim
Affiliation Tun Hussein Onn University of Malaysia
Country Malaysia
Scopus ID 57211682978
Documents 66
Citations 95
h-index 6
Subject Area Engineering and Technology
Event Popular Engineer Awards
ORCID 0000-0003-3606-384X
Google Scholar fNb9bNcAAAAJ

Nabilah Ibrahim, Associate Professor (Ir.) at Tun Hussein Onn University of Malaysia (UTHM), is an academic researcher whose work spans medical signal and image analysis, ultrasound systems, computational blood-flow simulation, biomedical instrumentation, and engineering education. Her professional profile combines teaching, research, institutional leadership, student supervision, and international engagement. The recognition associated with the Innovative Research Award reflects sustained scholarly productivity, research funding success, impactful supervision, and contributions to biomedical engineering and healthcare technologies.[1]

Abstract

This article summarizes the academic achievements, research profile, leadership contributions, and scholarly impact of Nabilah Ibrahim. Her work integrates biomedical engineering, ultrasound imaging, medical image processing, computational fluid dynamics, and healthcare innovation. Through funded projects exceeding RM700,000, extensive student supervision, and active participation in international professional organizations, she has established a multidisciplinary research portfolio with measurable scholarly outputs and societal relevance.[1][2]

Keywords

Biomedical Engineering; Medical Signal Processing; Ultrasound Imaging; Computational Fluid Dynamics; Blood Flow Simulation; Healthcare Technology; Engineering Education; Medical Electronics; Research Leadership; Innovation.

Introduction

Nabilah Ibrahim serves as Associate Professor in the Department of Electronic Engineering at UTHM. Educated in Japan at Shibaura Institute of Technology and Tohoku University, she developed expertise in ultrasonic assessment, carotid artery analysis, image processing, and biomedical instrumentation. Her doctoral research on automated boundary detection of arterial walls using ultrasound contributed to methods used in vascular assessment and medical image analysis.[4]

Research Profile

The research profile of Nabilah Ibrahim encompasses medical signal and image analysis, blood-flow simulation using computational fluid dynamics, ultrasound system development, healthcare monitoring technologies, and biomedical engineering education. She has authored numerous journal articles, book chapters, teaching modules, and copyrighted innovations while supervising undergraduate, master’s, and doctoral candidates. Her academic record includes 66 indexed Scopus documents, 95 Scopus citations, and an h-index of 6 and According to publicly available Google Scholar metrics, Nabilah Ibrahim’s scholarly record includes 86 indexed documents, 174 citations, and an h-index of 7.[1][2]

  • Doctor of Philosophy in Electronic Engineering, Tohoku University, Japan.
  • Master of Computer Science, Shibaura Institute of Technology, Japan.
  • Bachelor of Engineering in Telecommunication, Shibaura Institute of Technology, Japan.
  • Leadership roles in research, publication, international relations, and academic administration.

Research Contributions

Major contributions include the development of ultrasound-based arterial wall detection methodologies, cardiovascular imaging techniques, healthcare monitoring devices, and computational modelling approaches for vascular diseases. Her research activities have generated copyrighted technologies including vein-finding systems, cardiac-sound classification tools, mitral-valve tracking methods, and blood-vessel visualization systems. These outputs demonstrate a sustained commitment to translational biomedical engineering research.[4]

  • Medical signal and image analysis.
  • Ultrasound equipment and system control.
  • Computational fluid dynamics for cardiovascular assessment.
  • Healthcare innovation and biomedical instrumentation.
  • Engineering education and student mentorship.

Publications

Publications focus on ultrasound imaging, arterial wall detection, cardiovascular assessment, medical signal processing, computational fluid dynamics, healthcare technologies, and biomedical engineering education, contributing peer reviewed research, innovation, diagnostics, advancements globally.

The publication portfolio of Nabilah Ibrahim includes journal articles, conference papers, book chapters, educational modules, and interdisciplinary biomedical engineering studies. Representative scholarly works include investigations into arterial-wall boundary detection, ultrasonic signal processing, healthcare monitoring systems, and biomedical image analysis.[4][5]

  1. Book chapters on biomedical engineering innovation, ultrasound education, healthcare monitoring, and medical imaging applications.

Research Impact

The research impact of Nabilah Ibrahim extends beyond publication metrics. She has supervised more than 30 undergraduate and postgraduate students, secured substantial research funding, served as examiner for doctoral and master’s theses, coordinated international mobility programs, and contributed to IEEE leadership activities. Multiple award-winning student projects and innovation outcomes demonstrate the practical relevance of her research agenda.[1][2]

Award Suitability

Nabilah Ibrahim demonstrates several characteristics commonly associated with recognition by engineering and innovation award programs. These include sustained research productivity, funded research achievements, international collaborations, professional society leadership, successful supervision of postgraduate researchers, academic administration, and the translation of research into educational and technological outcomes. Her portfolio of innovation awards, scholarly publications, and professional service activities aligns strongly with the objectives of the Popular Engineer Awards and related academic recognition programs.[1][3]

Conclusion

Nabilah Ibrahim has established a distinguished academic career characterized by research excellence, educational leadership, international engagement, and biomedical engineering innovation. Her contributions to ultrasound imaging, cardiovascular analysis, healthcare technologies, and student development support the view that her achievements represent a significant contribution to engineering and technology research within Malaysia and internationally.[1][4]

References

  1. Elsevier. (n.d.). Scopus author details: Nabilah Ibrahim, Author ID 57211682978. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57211682978
  2. Google Scholar. (n.d.). Scholar profile of Nabilah Ibrahim. https://scholar.google.com/citations?user=fNb9bNcAAAAJ&hl=en&oi=sra
  3. ORCID. (n.d.). Nabilah Ibrahim ORCID Record. https://orcid.org/0000-0003-3606-384X
  4. Ibrahim, N., Hasegawa, H., & Kanai, H. (2013). Detection of arterial wall boundaries using an echo model composed of multiple ultrasonic pulses. Japanese Journal of Applied Physics, 52(7S), 07HF03. DOI: https://doi.org/10.7567/JJAP.52.07HF03
  5. Ibrahim, N., Hasegawa, H., & Kanai, H. (2012). Detection of boundaries of carotid arterial wall by analyzing ultrasonic RF signals. Japanese Journal of Applied Physics, 51(7S), 07GF07. DOI: https://doi.org/10.1143/JJAP.51.07GF07

Byungpyo Kyung | Computer Science and Artificial Intelligence | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Byungpyo Kyung
Kongju National University, South Korea

Byungpyo Kyung
Affiliation Department of Game Design, College of Arts, Kongju National University
Country South Korea
Google Scholar A09YA2MAAAAJ
Documents 79
Citations 229
h-index 8
Subject Area Game Design
Event Popular Engineer Awards
ORCID 0009-0001-7895-9006

Byungpyo Kyung, Professor of Game Design at Kongju National University, South Korea, is an academic researcher whose work spans game design, digital content, computer graphics, functional games, intelligent systems, animation, and interdisciplinary design research. His scholarly profile demonstrates sustained contributions to game studies, digital media technologies, educational applications of games, and international academic cooperation between Korea and China.[1]

Abstract

This article examines the academic profile, scholarly output, leadership activities, and research impact of Byungpyo Kyung. His work integrates game design, digital content development, computer graphics, functional gaming, smart media, and human-centered technology applications. Through academic leadership, international collaborations, and publication activities, he has contributed to the development of game design education and applied digital research in East Asia.[2]

Keywords

Game Design, Digital Contents, Functional Games, Computer Graphics, Smart Media, Animation, Human-Computer Interaction, Intelligent Systems, Educational Technology, Korea-China Academic Cooperation.

Introduction

Byungpyo Kyung has maintained a long academic career at Kongju National University while simultaneously contributing to international educational exchange initiatives and research centers focused on game design and digital content. His academic background includes studies at Yeungnam University and Kyushu Institute of Design in Japan, where he specialized in visual communication, computer graphics, and computer raytracing research.[3]

Research Profile

Professor Byungpyo Kyung completed doctoral coursework in Design at Kyushu Institute of Design, earned a Master of Design in Information Communication and Computer Graphics, and previously obtained a Bachelor of Fine Arts in Visual Communication Design. His professional experience spans academic, governmental, and industrial sectors, including service as Director of the Game Design Center, Commissioner of the Game Rating and Administration Committee (GRAC), and Visiting Professor at several Chinese universities.[4]

  • Professor, Department of Game Design, Kongju National University.
  • Director, Game Design Center (GDC).
  • Director, Korea-China Exchange and Cooperation Center.
  • Visiting Professor at multiple Chinese universities.
  • Active member of international game, media, design, and content societies.

Research Contributions

The research portfolio of Byungpyo Kyung demonstrates interdisciplinary engagement across game development, public welfare games, smart media systems, augmented reality education, motion capture pipelines, and intelligent services for older adults. Recent studies investigate context-aware intelligent systems and smart cognitive technologies designed to improve quality of life within healthcare environments.[5]

His publications have also addressed performance optimization in game development frameworks, public participation models in welfare-oriented games, and educational safety applications using augmented reality technologies.[6]

Publications

Byungpyo Kyung’s publication record reflects sustained contributions to game design, digital contents, computer graphics, functional games, augmented reality, and intelligent systems. His research includes studies on context-aware services for older adults, Unity game-development performance, public welfare games, and AR-based safety education, demonstrating interdisciplinary impact across technology, design, and human-centered innovation.[1][5][6]

  1. Zhu, Z., Kyung, B. P., & Ahmed, A. (2026). Designing context-aware intelligent systems to support daily activities of older adults in nursing homes.
  2. Zhu, Z., & Kyung, B. P. (2026). Research on improving intelligent terminal service design based on smart cognitive context awareness.
  3. Kim, T. H., & Kyung, B. P. (2024). Performance comparison of JSON libraries for game development using Unity engine.
  4. Jeon, W. S., & Kyung, B. P. (2021). Interesting elements of public welfare games and user experience.
  5. Wanxin, Q., & Kyung, B. P. (2021). Motivation of public welfare game users based on the UTAUT model.
  6. Jung, S. H., Ko, J. W., Heo, S. H., & Kyung, B. P. (2019). Functional game research based on AR Smartcare.

Research Impact

According to publicly available Google Scholar metrics, Professor Kyung’s scholarly record includes 79 indexed documents, 229 citations, and an h-index of 8. His work has contributed to knowledge development in game design, digital content production, animation technologies, and applied computing. Publications concerning motion capture, social network games, educational content systems, and simulation technologies have received continuing scholarly attention.[1]

Award Suitability

The profile of Byungpyo Kyung aligns with the objectives of academic recognition programs such as the Popular Engineer Awards due to his long-term commitment to higher education, international academic exchange, interdisciplinary research, leadership in game design education, and documented scholarly output. His contributions extend beyond publication activity to include institution building, curriculum development, research center leadership, and international cooperation initiatives.[7]

Conclusion

Byungpyo Kyung represents a multidisciplinary academic profile characterized by expertise in game design, digital media, intelligent systems, and international educational collaboration. His academic career, leadership appointments, and publication record collectively illustrate a sustained contribution to research, teaching, and innovation within the fields of game studies and digital content development.[1]

References

  1. Google Scholar. (n.d.). Byungpyo Kyung Scholar Profile. https://scholar.google.com/citations?user=A09YA2MAAAAJ&hl=en&oi=sra
  2. Zhu, Z., Kyung, B. P., & Ahmed, A. (2026). Designing context-aware intelligent systems to support daily activities of older adults in nursing homes.
  3. Academic biography and educational background of Byungpyo Kyung, Kongju National University.
  4. Professional appointments and administrative leadership positions, Kongju National University and partner institutions.
  5. Zhu, Z., & Kyung, B. P. (2026). Smart Media Journal, 15(1), 51–63.
  6. Kim, T. H., & Kyung, B. P. (2024). Performance comparison of JSON libraries for game development using Unity engine.
  7. Popular Engineer Awards. (n.d.). Award objectives and recognition criteria. https://popularengineer.org/

Xueting Ma | Engineering and Technology | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Xueting Ma
Tarim University, China

Xueting Ma
Affiliation Tarim University
Country China
Scopus ID 57855482600
Documents 30
Citations 100
h-index 7
Subject Area Mechanical Engineering
Event Popular Engineer Awards
ORCID 0000-0002-7534-5519

Xueting Ma is a researcher at Tarim University whose academic work focuses on agricultural machinery, mechanical design, optimization of agricultural equipment, and nondestructive evaluation of agricultural product quality. Since August 2016, Xueting Ma has worked at Tarim University while undertaking further study at China Agricultural University. Ma’s academic training includes mechanical and electronic engineering and mechanical design and theory at Northeast Forestry University. The research profile combines mechanical engineering methods with agricultural applications, particularly for mechanized production in Southern Xinjiang.[1][2]

Abstract

Xueting Ma’s research is situated at the intersection of mechanical engineering and agricultural machinery. A representative study investigates lightweight structural design for a residual film recovery machine frame using finite element analysis, experimental design, and multi-objective optimization. A three-dimensional frame model was developed in SolidWorks and analyzed in ABAQUS using static and prestressed modal analyses. The study subsequently evaluated six structural dimensional parameters and identified the rear cross-member, upper main girder, and V-shaped support column as important design variables. A Box-Behnken response surface methodology was then applied to optimize frame mass while maintaining structural stress constraints. The optimized design reduced frame mass from 426.820 kg to 335.684 kg, corresponding to a 21.35% reduction, while maintaining reported strength and vibration performance. The study provides a technical basis for lightweight design of agricultural machinery frames and illustrates the application of computational mechanics and optimization techniques to agricultural equipment engineering.[1][2][3]

Keywords

Agricultural machinery; mechanical engineering; lightweight design; finite element analysis; residual film recovery; structural optimization; response surface methodology; agricultural product quality; nondestructive testing; mechanical design.

Introduction

Xueting Ma’s academic career has centered on the development, analysis, and optimization of agricultural machinery and technologies for evaluating agricultural product quality. The research is particularly relevant to agricultural mechanization in Southern Xinjiang, where machinery design must account for operational efficiency, structural reliability, and practical field requirements. Ma’s work combines mechanical design with numerical simulation, experimental analysis, and agricultural applications.

Xueting Ma studied mechanical and electronic engineering at Northeast Forestry University from September 2009 to July 2013 and subsequently completed studies in mechanical design and theory at the same university from September 2013 to July 2016. Since August 2016, Ma has worked at Tarim University and has also undertaken study at China Agricultural University. This academic progression provides a foundation for research integrating mechanical engineering principles with agricultural production technologies.[1][2]

Research Profile

Xueting Ma’s research profile includes optimization design of agricultural machinery and implements and nondestructive testing of agricultural product quality. The research program addresses both machine-level engineering problems and agricultural quality-assessment applications, combining computational mechanics, structural optimization, experimental methods, and spectroscopic analysis.

  • Completed or ongoing research projects: 6.
  • Consultancy and industry projects: 6.
  • Books published with ISBN: 4.
  • Patents published, filed, or under process: 5.
  • Research articles published in SCI, Scopus, and other indexed journals: 21.
  • Citation index: Not available (N/A).

The research profile also includes editorial and professional activities. Xueting Ma has served as an Editorial Board Member of the International Journal of Food Engineering and Technology. Collaboration with Northeast Forestry University, continuing from 2022, has involved mechanical vibration testing and fatigue analysis of agricultural machinery components, graduate academic exchange, and cooperation in monograph compilation concerning fruit nondestructive testing technology.

Xueting Ma is a member of the Chinese Society for Agricultural Machinery (CSAM) and the Xinjiang Agricultural Engineering Society, with both memberships reported from 2022 to the present. These professional activities complement research interests in agricultural machinery optimization and nondestructive assessment of agricultural products.[1][2]

Research Contributions

A significant contribution concerns the lightweight optimization of a residual film recovery machine frame. The study began with three-dimensional modeling in SolidWorks and subsequent finite element analysis in ABAQUS. Static and prestressed modal analyses were used to characterize the structural response. Single-factor experiments were then used to examine the influence of six dimensional parameters on mass, maximum displacement, maximum stress, maximum strain, and first-order modal frequency.[3]

The analysis identified the cross-sectional dimensions of the rear cross-member, upper main girder, and V-shaped support column as key variables. A three-factor, three-level response surface model based on Box-Behnken experimental design was subsequently developed. Multi-objective optimization targeted minimum frame mass subject to maximum-stress constraints. The reported optimal dimensions were 20 × 20 mm for the rear cross-member, 40 × 40 mm for the upper main girder, and 50 × 14 mm for the V-shaped support column. The reported difference between optimized simulation results and predicted values was below 3%.[3]

The optimized frame mass decreased from 426.820 kg to 335.684 kg, representing a reported 21.35% reduction. The maximum stress was reported as 94.87 MPa and the first-order modal frequency as 17.567 Hz, with the study concluding that the optimized design satisfied the stated strength and vibration requirements.[3]

Beyond structural optimization, Xueting Ma’s contributions include the development of residual film recycling equipment and orchard grass management machinery, static-dynamic simulation and lightweight optimization of equipment frames, and research using near-infrared spectroscopy for nondestructive fruit-quality testing. These activities connect mechanical engineering methods with practical agricultural production and quality-assessment requirements.

Publications

Xueting Ma’s reported publication record includes 21 research articles in SCI, Scopus Documents 30, Citations 100, an h-index 7 and other indexed journals, together with four books carrying ISBNs and five patents published, filed, or under process. The publication portfolio covers agricultural machinery design, structural optimization, weed-control equipment, and nondestructive quality assessment of agricultural products.[1]

  • Han, Z., Ma, X., Jia, N., Guo, G., & Wan, C. (2026). Lightweight design of a residual film recovery machine frame based on static and dynamic characteristics. Results in Engineering. [3]
  • Ma, X., Zhou, L., Wan, C., Guo, G., Zhao, J., & Zhang, Q. (2026). Performance analysis and parameter optimization of a weed control device through cutting shallow soil layer roots. Results in Engineering.[4]
  • Tong, Y., Luo, H., Ma, X., Yu, J., Liu, H., & Kang, L. (2026). Research on the spectral detection effect and data fusion of small white apricot quality based on different detection distances. Scientific Reports, 16, Article 52412. [5]

Research Impact

The reported research has practical relevance to agricultural machinery engineering, particularly through the application of lightweight structural design to equipment used in agricultural operations. Reducing structural mass while maintaining required strength and dynamic performance can support improvements in material efficiency and equipment design. The residual film recovery machine study provides a specific example of integrating finite element simulation, experimental design, and response surface optimization into agricultural machinery development.[3]

The broader research portfolio extends this engineering approach to weed-control equipment and nondestructive evaluation of fruit quality. Research on weed-control device optimization addresses mechanical performance and parameter selection, while spectroscopic research investigates detection effects and data fusion for agricultural product quality assessment.[4] [5]

The reported combination of research projects, industry and consultancy activities, publications, patents, books, editorial service, and professional memberships indicates sustained engagement with agricultural engineering research and technology development. The stated focus on Southern Xinjiang further connects the research program with regional mechanized agricultural production.

Award Suitability

The research profile is relevant to an Innovative Research Award because it demonstrates the application of established mechanical engineering methodologies to practical agricultural machinery challenges. In particular, the residual film recovery machine research combines computer-aided modeling, finite element analysis, modal analysis, experimental design, and multi-objective optimization to address material efficiency and structural performance.[3]

The reported 21.35% reduction in frame mass, together with the maintenance of stated stress and vibration requirements, provides a quantitative measure of the engineering outcome of the optimization process.[3] Additional research on weed-control equipment and nondestructive agricultural-product testing broadens the innovation portfolio across agricultural engineering applications.[4] [5]

On the information provided, the award relevance can be characterized as based on documented research activity, engineering methodology, measurable design optimization, and potential practical application. Final award decisions would depend on the applicable evaluation criteria, verification of research records, and assessment by the relevant award committee.

Conclusion

Xueting Ma’s academic profile reflects sustained research activity in mechanical engineering applied to agricultural machinery and agricultural product quality assessment. The work combines mechanical design, finite element analysis, structural optimization, experimental methods, and nondestructive testing. The reported lightweight optimization of a residual film recovery machine frame demonstrates a systematic approach to reducing structural mass while maintaining specified engineering performance.[1][3]

Together with research on weed-control machinery, fruit-quality detection, professional service, patents, books, and collaborations, these activities establish a multidisciplinary research profile connecting mechanical engineering with agricultural technology. The profile therefore provides a substantive basis for consideration under an Innovative Research Award category, subject to independent verification and the award’s formal assessment criteria.

References

  1. Elsevier. (n.d.). Scopus author details: Xueting Ma, Author ID 57855482600. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57855482600
  2. ORCID. (n.d.). Xueting Ma, ORCID record 0000-0002-7534-5519. ORCID. https://orcid.org/0000-0002-7534-5519
  3. Han, Z., Ma, X., Jia, N., Guo, G., & Wan, C. (2026). Lightweight design of a residual film recovery machine frame based on static and dynamic characteristics. Results in Engineering. https://doi.org/10.1016/j.rineng.2026.112268
  4. Ma, X., Zhou, L., Wan, C., Guo, G., Zhao, J., & Zhang, Q. (2026). Performance analysis and parameter optimization of a weed control device through cutting shallow soil layer roots. Results in Engineering. https://doi.org/10.1016/j.rineng.2026.112128
  5. Tong, Y., Luo, H., Ma, X., Yu, J., Liu, H., & Kang, L. (2026). Research on the spectral detection effect and data fusion of small white apricot quality based on different detection distances. Scientific Reports, 16, Article 52412. https://www.nature.com/articles/s41598-026-52412-y

Samil Osman Gürdal | Engineering and Technology | Innovative Research Award

Published on by Popular Engineer

Innovative Research Award

Samil Osman Gürdal — RADKOR Training Teaching Medical Production Energy Electricity Electronic and Information Technology Ltd. Co., Turkey

Samil Osman Gürdal
Affiliation RADKOR Training Teaching Medical Production Energy Electricity Electronic and Information Technology Ltd. Co
Country Turkey
Scopus ID 57204905501
Documents 3
Subject Area Engineering and Technology
Event Popular Engineer Awards

Samil Osman Gürdal is a Turkish researcher and engineering professional whose academic and industrial activities are associated with nuclear engineering, radiation protection, dosimetry, radiation detection, shielding, and related computational methods. His profile combines university-based research with applied development and management activities in radiation measurement and protection technologies. His documented work includes research and development projects involving optical stimulated luminescence (OSL) dosimetry, neutron dosimetry, active dosimetry, patient dosimetry, radiation shielding, and nuclear engineering applications. The research profile considered for the Innovative Research Award reflects an interdisciplinary engineering orientation in which radiation measurement, detector technologies, computational analysis, medical physics, and technology development intersect. The available Scopus record identifies three documents under the supplied author profile, while the documented project portfolio provides additional evidence of sustained applied research and development activity. [1]

Abstract

Samil Osman Gürdal’s academic and professional profile is centered on nuclear engineering and the development and application of radiation measurement technologies. His education in nuclear engineering at Hacettepe University progressed from undergraduate study to master’s and doctoral research, followed by research and industrial responsibilities. His documented working areas include OSL and thermoluminescent dosimetry systems, medical physics and radiation protection, Monte Carlo and stochastic methods, solid-state radiation detectors, radiation shielding, neutron transport analysis, nuclear power plant systems, neural networks, artificial intelligence, and genetic algorithms.

His project portfolio demonstrates an emphasis on translating engineering research into functional measurement and protection systems. Projects have included radiation-shielding materials, OSL laboratory automation, personal neutron dosimetry, extremity dosimetry, robotic equipment for OSL systems, patient dosimetry, neutron dosimetry, and active dosimetry. His publication record also includes research on an environmental dose monitoring system, published in Nuclear Technology in 2026. [2]

Keywords

Nuclear engineering; radiation protection; radiation dosimetry; OSL dosimetry; TL dosimetry; neutron dosimetry; radiation detectors; solid-state detectors; radiation shielding; medical physics; Monte Carlo methods; stochastic methods; neutron transport; nuclear power plant systems; environmental dose monitoring; patient dosimetry; active dosimetry; artificial intelligence; neural networks; genetic algorithms.

Introduction

Samil Osman Gürdal’s academic background is rooted in the Department of Nuclear Engineering at Hacettepe University, where he completed undergraduate, master’s, and doctoral education. His doctoral study was undertaken from 2009 to 2016, following master’s study from 2006 to 2009 and undergraduate study from 2001 to 2006. This continuous academic pathway provided a foundation for subsequent work involving radiation measurement, nuclear systems, computational methods, and radiation protection.

His professional trajectory includes service as a Research Assistant in the Department of Nuclear Engineering at Hacettepe University from 2007 to 2017 and subsequent management responsibilities at the RADKOR Personal Monitoring Laboratory, where he has served as General Manager from 2013 onward. This combination of academic and applied responsibilities is relevant to the assessment of research that seeks practical engineering outcomes.

Research Profile

The supplied Scopus profile identifies Gürdal under Author ID 57204905501 and records three documents. [1] His broader research and development portfolio indicates a concentration on radiation measurement and nuclear engineering technologies, with particular attention to systems that can support radiation monitoring, personal protection, medical applications, and nuclear-sector analysis.

The principal documented areas of work include:

  • OSL and TL dosimetry systems for radiation measurement and monitoring.
  • Medical physics and radiation protection applications.
  • Monte Carlo and stochastic methods for engineering analysis.
  • Radiation detectors, particularly solid-state detector technologies.
  • Radiation shielding and shielding-material development.
  • Neutronic analysis and neutron transport in nuclear power plant systems.
  • Computational approaches involving neural networks, artificial intelligence, and genetic algorithms.

Education

  • PhD, Department of Nuclear Engineering, Hacettepe University — 2009–2016.
  • MSc, Department of Nuclear Engineering, Hacettepe University — 2006–2009.
  • Undergraduate, Department of Nuclear Engineering, Hacettepe University — 2001–2006.

Awards and Distinctions

  • Ihsan Doğramacı Outstanding Achievement Award — 2006.
  • Top Performing Student Award — 2006.

Professional Experience

  • Research Assistant, Department of Nuclear Engineering, Hacettepe University — 2007–2017.
  • General Manager, RADKOR Personal Monitoring Laboratory — 2013–present.

Internships

  • 2003–2004 — Ambarlı Natural Gas Power Plant, Istanbul.
  • 2005–2006 — Turkish Atomic Energy Agency, Çekmece Nuclear Research and Training Center, Istanbul.

Research Contributions

The documented research and development activities demonstrate a sustained interest in converting nuclear engineering knowledge into measurement, monitoring, and protection technologies. Several projects focus on dosimetry systems, which are important for quantifying radiation exposure in occupational, medical, and environmental contexts.

The project record includes the production of heavy concrete bricks for radiation shielding between 2012 and 2014; an automated OSL laboratory system between 2014 and 2015; a personal neutron dosimeter between 2015 and 2016; analysis of Mo-99 production using a D-T neutron generator; a mammography phantom project supported by TÜBİTAK; an extremity OSL dosimetry system under a KOSGEB R&D and Innovation project; and a robotic table for an OSLD system. Subsequent development activities include the Pdose patient dosimetry system under KOSGEB Teknoyatırım, a neutron dosimetry system under KOSGEB R&D and Innovation, and an active dosimetry system under TÜBİTAK 1501.

The combination of radiation physics, detector engineering, computational analysis, and product-oriented development provides a multidisciplinary framework for addressing radiation monitoring and protection challenges. The 2026 publication on environmental dose monitoring further connects this technical profile with environmental radiation measurement. [2]

Selected Project Portfolio

  • 2012–2014: Production of Heavy Concrete Brick for Radiation Shielding — finished, executive.
  • 2014–2015: Production of Automation System of OSL Laboratory — finished, executive.
  • 2015–2016: Production of Personal Neutron Dosimeter — finished, executive.
  • 2015–2016: Analysis of Mo-99 Production Technique Using D-T Neutron Generator — finished, consultant.
  • 2015: Production of Mamo Phantom — TÜBİTAK project.
  • 2015: Development and Production of Extremity OSL Dosimetry System — KOSGEB R&D Innovation project.
  • 2016: Production of Robotic Table for OSLD System — finished, executive.
  • 2017: Development and Production of Pdose Patient Dosimetry System — KOSGEB Teknoyatırım project.
  • 2021–present: Development and Production of Neutron Dosimetry System — KOSGEB R&D Innovation project.
  • 2021–present: Development and Production of Active Dosimetry System — TÜBİTAK 1501 project.

Technical and Computational Skills

  • FORTRAN 95 and Visual FORTRAN.
  • MATLAB and Simulink.
  • Mathematica.
  • R-Metrics.
  • Java and advanced Java applications.
  • AutoCAD.
  • Linux/Unix and Windows operating environments.
  • Microsoft Word, Excel, and PowerPoint.

Publications

The supplied Scopus record contains three documents associated with Author ID 57204905501. [1] One publication specifically identified for this recognition profile is the 2026 article Development of an Environmental Dose Monitoring System, authored by ŞO Gürdal, F. Kılıç, and Ö. Gündüz and published in Nuclear Technology.[2]

Gürdal, Ş. O., Kılıç, F., & Gündüz, Ö. (2026). Development of an Environmental Dose Monitoring System. Nuclear Technology.

Research Impact

The potential impact of Samil Osman Gürdal’s research profile is primarily associated with radiation safety, measurement accuracy, environmental monitoring, medical dosimetry, and engineering development. Radiation dosimetry systems have practical relevance to monitoring exposure and supporting radiation-protection practices, while environmental dose monitoring can contribute to the systematic observation of radiation levels in monitored environments. The publication record provides direct evidence of research activity in environmental dose monitoring. [2]

The broader project portfolio extends beyond publication activity and includes development-oriented projects involving personal, extremity, patient, neutron, and active dosimetry systems. Such projects indicate an applied research orientation in which engineering analysis is connected to instrument and system development. The available evidence supports describing the profile as multidisciplinary, with links among nuclear engineering, radiation protection, detector technology, computational methods, and medical applications.

From an academic recognition perspective, the combination of a nuclear engineering education, university research experience, industrial leadership, technology-development projects, and documented publication activity forms a coherent research profile. The Scopus author record provides an independent bibliographic point of reference for the researcher’s scholarly output. [1]

Award Suitability

Based solely on the supplied academic, professional, project, and publication information, Samil Osman Gürdal presents a strong potential fit for an Innovative Research Award within an engineering and technology recognition framework. The assessment is based on evidence of research training in nuclear engineering, sustained professional involvement in radiation technology, multiple development projects, and a documented publication concerning environmental dose monitoring. [1] [2]

Several characteristics strengthen the suitability assessment:

  • Research specialization: The profile is concentrated in technically demanding areas of nuclear engineering, radiation dosimetry, radiation protection, and detector systems.
  • Innovation-oriented projects: The documented portfolio includes development of multiple dosimetry and radiation-monitoring systems.
  • Applied engineering: Several projects are structured around the production or development of functional systems, instruments, and materials.
  • Interdisciplinary methods: The working areas incorporate Monte Carlo methods, stochastic analysis, neural networks, artificial intelligence, and genetic algorithms alongside nuclear engineering.
  • Scholarly evidence: The supplied Scopus profile records three documents, while the identified 2026 publication provides a current example of research dissemination. [1] [2]
  • Professional continuity: Academic research experience and long-term laboratory management responsibilities provide complementary evidence of engagement with radiation-related engineering practice.

The final award decision should, however, be determined by the official evaluation criteria of the Popular Engineer Awards, including any requirements concerning publication quality, innovation, measurable outcomes, originality, societal or industrial impact, and supporting documentation. This profile should therefore be regarded as an evidence-based suitability assessment rather than a formal award determination.

Conclusion

Samil Osman Gürdal’s professional and academic profile reflects a sustained engagement with nuclear engineering, radiation measurement, radiation protection, dosimetry, detector technologies, and applied engineering development. His education at Hacettepe University, research experience, laboratory management responsibilities, technical competencies, and project portfolio provide a broad foundation for evaluating his contribution to engineering and technology.

The documented development of neutron, OSL, active, extremity, and patient dosimetry systems, together with work on radiation shielding and environmental dose monitoring, demonstrates an application-oriented research trajectory. The 2026 publication in Nuclear Technology provides a directly identifiable scholarly contribution within this area. [2] On the supplied evidence, the profile is reasonably aligned with the objectives of an innovative research recognition category, subject to the formal assessment standards of the awarding organization.

References

  1. Elsevier. (n.d.). Scopus author details: Samil Osman Gürdal, Author ID 57204905501. Scopus. https://www.scopus.com/pages/authors/57204905501
  2. Gürdal, Ş. O., Kılıç, F., & Gündüz, Ö. (2026). Development of an Environmental Dose Monitoring System. Nuclear Technology. DOI: https://doi.org/10.1080/00295450.2026.2694898