Norhazwani Md Yunos | Data Science and Analytics | Research Excellence Award

Dr. Norhazwani Md Yunos | Data Science and Analytics | Research Excellence Award

Universiti Teknikal Malaysia Melaka | Malaysia

Dr. Norhazwani Md Yunos is an accomplished computer scientist and academic whose work bridges theoretical algorithms and applied data analytics. She has authored 11 Scopus-indexed documents, receiving 68 citations with an h-index of 4, reflecting steady scholarly impact across multiple domains. Her educational background is grounded in computer science and algorithmic research, with strong foundations in graph theory, optimization, and computational complexity. Over her academic career, she has gained extensive experience as a lecturer and researcher, contributing to both fundamental theory and real-world applications. Her research interests span machine learning, sentiment analysis, network and community detection, optimization algorithms, big data analytics, and combinatorial optimization, including notable contributions to polynomial-space exact algorithms for the Traveling Salesman Problem (TSP) and modern studies on dynamic community detection and data-driven classification models. Dr. Md Yunos has published in reputable journals such as Alexandria Engineering Journal, Pertanika Journal of Science and Technology, and Journal of Electronic Materials, demonstrating interdisciplinary reach from algorithm design to intelligent systems. Her scholarly record includes peer-reviewed journal articles, conference papers, and book chapters, alongside recognition through high citation performance in selected works. Overall, her research portfolio highlights a sustained commitment to advancing computational methods, intelligent data analysis, and algorithmic efficiency for contemporary scientific and industrial challenges.

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Dongju Yang | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Dongju Yang | Computer Science and Artificial Intelligence | Research Excellence Award

North China University of Technology | China

Dr. Dongju Yang is an Associate Researcher and Assistant Lead Professor for Artificial Intelligence at North China University of Technology, with over a decade of academic and research experience in intelligent computing systems. She earned her Ph.D. in Computer Software and Theory from Northwestern Polytechnical University and previously conducted advanced research at the Institute of Computing Technology, Chinese Academy of Sciences. Her research focuses on Large Language Models, Retrieval-Augmented Generation (RAG), AI Agents, Knowledge Graphs, Natural Language Processing, Service Computing, and Data Intelligence, with strong application impact in smart elderly care and intelligent education. Dr. Yang has led more than ten competitive research projects as principal investigator, including a sub-project of China’s National Key R&D Program and an NSFC General Program, while contributing to multiple major national initiatives. She has contributed to one national standard and three group standards and received the Beijing Science and Technology Progress Award. Overall, her work bridges fundamental AI research with scalable, real-world technological impact and talent cultivation.


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Featured Publications

Intelligent Orientation Robot Based on Large Language Models and Retrieval-Augmented Generation
Dongju Yang, 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE), 2024. (WOS)

Multi-source Autoregressive Entity Linking Based on Generative Method
Dongju Yang, Weishui Lan, Communications in Computer and Information Science, 2024. (Book Chapter)

IoT Service Distributed Management Architecture and Service Discovery Method for Edge-Cloud Federation
Dongju Yang, International Journal of Grid and Utility Computing, 2022. (WOS)

Construction and Analysis of Scientific and Technological Personnel Relational Graph for Group Recognition
Dongju Yang, International Journal of Software Engineering and Knowledge Engineering, 2021. (WOS)

Research on User Demand-Driven Service Matching Methodology
Huiying Zhang, Dongju Yang, IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2021.

Mayank Choubey | Mechanical Engineering | Research Excellence Award

Dr. Mayank Choubey | Mechanical Engineering | Research Excellence Award

SGT University Gurugram Haryana | India

Dr. Mayank Choubey is an accomplished academic and researcher in the field of manufacturing engineering, currently serving as an Assistant Professor with strong expertise in advanced and digital manufacturing technologies. He holds a solid educational background in mechanical and manufacturing engineering and has gained substantial teaching and research experience at the undergraduate and postgraduate levels. His research interests span hybrid machining, additive and digital manufacturing, micro-machining, simulation-driven process optimization, and finite element analysis, with a focus on improving manufacturing efficiency and precision. He is the author of three ISBN-registered books and has five patents published or under process, demonstrating a strong orientation toward innovation and applied research. In addition, he serves on the editorial board of an academic journal and actively contributes as a peer reviewer. His academic contributions are supported by verified research documents and citation records available through recognized scholarly platforms. Overall, Dr. Choubey’s consistent research output, academic service, and innovation-driven mindset make him a deserving candidate for research excellence recognition.

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Featured Publications

A Review on Vibration-Assisted EDM, Micro-EDM and WEDM
K.P. Maity, M. Choubey, Surface Review and Letters, 26(05), 1830008, 2019. (Citations: 81)

Algae: A Potential Feedstock for Third Generation Biofuel
R.S. Powar, A.S. Yadav, C.S. Ramakrishna, S. Patel, M. Mohan, et al., Materials Today: Proceedings, 63, A27–A33, 2022. (Citations: 60)

Finite Element Modeling of Material Removal Rate in Micro-EDM Process with and without Ultrasonic Vibration
M. Choubey, K.P. Maity, A. Sharma, Grey Systems: Theory and Application, 10(3), 311–319, 2020. (Citations: 33)

Modeling and Process Simulation of Vibration Assisted Workpiece in Micro-EDM Using FEM
K.P. Maity, M. Choubey, World Journal of Engineering, 13(3), 242–250, 2016. (Citations: 16)

A Review on Various Methods to Improve Process Capabilities of Electrical Discharge Machining Process
M. Choubey, M. Rawat, Materials Today: Proceedings, 47, 2756–2764, 2021. (Citations: 10)

Leone Ermes Romano | Space Exploration Technologies | Young Scientist Award

Dr. Leone Ermes Romano | Space Exploration Technologies | Young Scientist Award

Università degli studi di Napoli Federico II | Italy

Leone Ermes Romano is a plant biologist and space life sciences researcher specializing in plant adaptation to altered gravity environments, with a strong focus on sustainable food production for space exploration. He is currently a PhD researcher at the University of Naples Federico II, where he is also serving as Principal Investigator on European Space Agency–supported projects. Romano received advanced academic training in plant physiology and space biology, developing expertise in experimental design, spaceflight hardware development, and controlled-environment cultivation systems. His research experience includes leadership and key scientific roles in ESA and ASI projects such as SuperFood for Space, Wolffia Hyper-g, Rootrop, Multitrop, and WAPS, as well as hands-on work at NASA’s Kennedy Space Center during late-access flight preparations. His primary research interests include plant gravitropism, hypergravity and microgravity effects on growth, duckweed (Wolffia spp.) biology, space farming, and bioregenerative life-support systems. He has contributed to peer-reviewed scientific publications indexed in Scopus and currently holds a Scopus profile with h-index: 8, documents: 16, and citations: 140, reflecting a growing international research impact. Romano has been associated with award-winning ESA CORA projects and competitive space research initiatives. His work contributes to advancing space agriculture and resilient crop systems, supporting long-duration human space exploration and sustainable food technologies.

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Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Mohammed Maiza | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Mohammed Maiza is an Associate Professor of Computer Science specializing in Pattern Recognition and Artificial Intelligence, with a strong academic and research profile in intelligent systems and data-driven computing. He holds an engineering degree in Computer Science with a specialization in Artificial Intelligence, followed by a Magister and Ph.D. in Computer Science focused on Pattern Recognition and AI. His academic career includes long-standing experience as a Lecturer-Researcher at leading Algerian universities, where he has contributed extensively to teaching, research supervision, and academic leadership. His research interests span pattern recognition, machine learning, artificial intelligence, data analysis, and intelligent decision-support systems. Dr. Maiza has actively participated in international conferences, workshops, and research visits in Algeria and France, strengthening collaborative research networks. He has authored multiple peer-reviewed scientific publications indexed in international databases, with measurable scholarly impact reflected through his h-index, citation count, and documented research outputs in major indexing platforms. In addition to research, he has held several academic leadership and coordination roles, contributing to curriculum development and institutional governance. His academic contributions demonstrate a sustained commitment to advancing AI research, mentoring graduate students, and fostering innovation in computer science, positioning him as a respected researcher and educator in the field.

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Featured Publications

C. Cherif, M.K. Abdi, A. Ahmad, M. Maiza
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 2025(4), 2025 · Citations: 4

A. Ahmad, M. Bouneffa, H. Basson, C. Cherif, M.K. Abdi, M. Maiza
Enterprise Interoperability X: Enterprise Interoperability Through Connected Enterprises, 2024 · Citations: 1

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb
13th European Workshop on Visual Information Processing (EUVIP), pp. 1–6, 2025

C. Cherif, M. Maiza, S. Chouraqui, A. Taleb-Ahmed
Informatica, 49(3), 2025

Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Chahira Cherif | Computer Science and Artificial Intelligence | Research Excellence Award

Université Oran 1 | Algeria

Dr. Chahira Cherif is an Associate Professor of Computer Science with a strong academic and research profile in higher education and software systems research. She holds a State Engineering degree in Computer Science, a Magister (Master’s) degree, and a Ph.D. in Computer Science, reflecting a solid and progressive academic foundation in computing and information technologies. Her professional experience includes service as a State Computer Science Engineer before transitioning into academia, where she has been actively engaged in teaching at both Bachelor’s and Master’s levels under the LMD system, along with supervising Master’s theses. Her research interests focus on intelligent software systems, software evolution, system security, and advanced computing methodologies, with active involvement in nationally recognized research initiatives, including the PREFU project on intelligent evolution and security of software systems. She has participated in international conferences, workshops, and scientific gatherings across Algeria and France, contributing to scholarly exchange and collaboration. Her scientific output is reflected through peer-reviewed publications indexed in international databases, with an established h-index-1 supported by multiple research documents-5 and citation-4 records. Through her combined roles as educator, researcher, and project contributor, she continues to make meaningful contributions to computer science research and academic development, strengthening innovation, knowledge dissemination, and the advancement of intelligent and secure software systems.

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Featured Publications


Predictive approach to the degree of business process change

C. Cherif, M.K. Abdi, A. Ahmad
International Journal of Computing and Digital Systems, 14(1), 10505–10513, 2023 · Citations: 5


Change impact study by Bayesian networks

C. Cherif, M.K. Abdi
Modeling Approaches and Algorithms for Advanced Computer Applications, pp. 429–438, 2013 · Citations: 5


Cancer classification through the selection of genes extracted from microarray data

M. Maiza, S. Chouraqui, C. Cherif, A. Taleb-Ahmed
Przegląd Elektrotechniczny, 101(4), 2025 · Citations: 4


Étude de l’impact de changement dans les systèmes à objet par les réseaux bayésiens

C. Chahira, A. Mustapha Kamel
Communication Science et Technologie, 13(1), pp. 90–108, 2015 · Citations: 4


Towards a probabilistic approach for better change management in BPM systems

C. Cherif
IEEE 23rd International Enterprise Distributed Object Computing Conference, 2019 · Citations: 3

Rima Isaifan | Sustainable Development | Research Excellence Award

Assoc. Prof. Dr. Rima Isaifan | Sustainable Development | Research Excellence Award

Georgetown University and Ministy of Higher Education Qatar | Qatar

Dr. Rima J. Isaifan is a distinguished chemical and environmental engineer, researcher, and higher-education quality assurance expert with a Ph.D. with highest honor in Chemical Engineering. She holds an h-index of26, with 65 peer-reviewed research documents and over 1,844 citations, reflecting sustained global research impact. Her academic experience spans associate professorships, adjunct appointments, and senior academic accreditation leadership roles across internationally recognized institutions, alongside extensive service as an evaluator, rapporteur, and expert reviewer for the European Commission, United Nations bodies, and national research agencies. Her research interests integrate air quality and climate change, decarbonization technologies, renewable and sustainable energy systems, nanotechnology and advanced materials, carbon management, urban sustainability, and AI applications in higher education quality assurance and policy. She has contributed to high-impact Q1 journals, interdisciplinary policy-oriented research, and applied sustainability solutions relevant to arid and rapidly urbanizing regions. Her professional excellence has been recognized through multiple international awards, including innovation and research distinctions in higher education quality assurance, sustainability, and environmental research. Through her combined roles in academia, policy, and consultancy, Dr. Isaifan continues to advance evidence-based decision-making, sustainable development practices, and globally relevant frameworks linking science, technology, and education quality, positioning her as a leading voice at the intersection of environmental engineering, climate-health research, and academic governance.

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Dapeng Zhang | Engineering and Technology | Research Excellence Award

Dr. Dapeng Zhang | Engineering and Technology | Research Excellence Award

 Guangdong Ocean University | China

Dr. Dapeng Zhang is an Associate Professor in Ocean Engineering at Guangdong Ocean University, China, with expertise in the dynamic response of offshore and subsea structures. He earned his Doctor of Engineering from Zhejiang University through a joint PhD program with the University of Lisbon, following a Master of Engineering from Ningbo University.  He was recognized among the top 5% of highly cited scholars by CNKI, highlighting his influence in marine and offshore engineering. His research spans marine engineering structures, pipelines and risers, offshore oil underwater production systems, marine artificial intelligence, and triboelectric nanogenerators (TENG). Dr. Zhang has published extensively in leading JCR Q1 journals such as Ocean Engineering, Physics of Fluids, Marine Structures, and Aquacultural Engineering, contributing foundational and applied insights into subsea dynamics, hydrodynamics, and deployment optimization. He serves as Editor-in-Chief of Engineering Solutions to Mechanics, Marine Structures and Infrastructures, holds additional editorial roles, and acts as a reviewer for numerous international journals. Overall, his scholarship integrates theory, computation, and engineering practice to advance safe, efficient, and intelligent offshore systems.

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Featured Publications


Dynamic analysis of towed cable with variable length during turning maneuvers

Scientific Reports, 13(1), 3525, 2023 · Citations: 23

Pan Li | Chemistry and Materials Science | Best Researcher Award

Dr. Pan Li | Chemistry and Materials Science | Best Researcher Award

Academy of Military Science of the People’s Liberation Army | China

Li Pan is a PhD candidate and active researcher at the Academy of Military Sciences, specializing in computational and experimental materials science. Her academic training and doctoral education are grounded in advanced materials engineering, with a strong emphasis on first-principles calculations and microstructural analysis of alloys. Through her research experiencez, she has developed a solid theoretical and practical understanding of alloy design, phase stability, and structure–property relationships at the atomic and microstructural scales. Li Pan has authored more than 10 peer-reviewed scientific articles published in high-impact journals, including Nature Communications, reflecting the quality and relevance of her work. In addition to journal articles, she has authored one scholarly monograph, highlighting her ability to synthesize complex scientific knowledge into cohesive academic work. Her research interests include density functional theory, alloy microstructure evolution, and computational materials modeling. She has received academic recognition for her research productivity and innovation during her doctoral studies. Overall, Li Pan represents an emerging scholar in materials science whose work contributes to advancing the fundamental understanding and design of advanced alloy systems.

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Featured Publications

Pan, L., Huang, L., Wang, X., Xu, W., Zhou, Y., & Chen, J. (2025). Pressure effect on structural, mechanical, electronic and thermodynamic properties of Cr–Co sigma phase using first-principles method. Philosophical Magazine.

Pan, L., Chen, J., Huang, L., & Zhang, J. (2024). First-principles study of structural, mechanical, electronic properties and Debye temperature of NbCo₂ Laves phases under pressure. Physica B: Condensed Matter, —, 415683.

Pan, L., Chen, J., Huang, L., & Zhang, J. (2023). Site occupancy and electronic properties of NbCo₂ Laves phases doped with Re. Computational and Theoretical Chemistry, —, 114389.

Pan, L., Huang, L., Chen, J., & Zhang, J. (2023). Site occupancy of Ru in μ phases: A density functional theory study. International Journal of Modern Physics B, —, 23502648.

Pan, L., Huang, L., Chen, J., & Zhang, J. (2022). First-principles study of Co₂₁W₁₈ with pressure effect: Structural, mechanical, electronic properties and Debye temperature. Materials Today Communications, —, 104276.