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)

Yulia Yugay | Nanotechnology |Research Excellence Award

Dr. Yulia Yugay | Nanotechnology |Research Excellence Award

Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences | Russia

Dr. Yulia A. Yugay is a plant biotechnologist and molecular biologist with a PhD in Biological Sciences, currently serving as a Senior Research Scientist at the Laboratory of Bionanotechnology and Biomedicine, Federal Scientific Center of the East Asia Terrestrial Biodiversity, Far Eastern Branch of the Russian Academy of Sciences. Her academic training is rooted in advanced biological sciences, with specialization in plant biotechnology and molecular genetics, and her professional experience spans fundamental research and applied innovation within leading national research institutes. Her research interests focus on plant cell and tissue cultures, molecular mechanisms of stress physiology, and the integration of bionanotechnology for the development of biologically active nanomaterials and functional biomolecules with applications in sustainable agriculture, biotechnology, and biomedicine. Dr. Yugay has authored 29 peer-reviewed scientific documents published in Q1–Q2 journals indexed in Web of Science and Scopus, with a strong record as first, corresponding, and co-author; her scholarly impact is reflected through an established h-index-10 and substantial citation record as indexed in Scopus and Web of Science, demonstrating consistent international visibility. In addition to research, she actively contributes to the scientific community as a peer reviewer for international journals, including MDPI titles. Her achievements highlight scientific excellence, interdisciplinary innovation, and meaningful translational potential, positioning her as a leading contributor to modern plant biotechnology and bionanotechnology research.

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Featured Publications

Jun Dong | Engineering and Technology | Research Excellence Award

Assist. Prof. Dr. Jun Dong | Engineering and Technology | Research Excellence Award

Nanjing University of Science and Technology | China

Jun Dong is an early-career researcher and lecturer specializing in fluid mechanics, microfluidics, and biomechanics, with a strong focus on alveolar flows, particle transport, and lab-on-a-chip systems. He earned his PhD in Mechanics from Harbin Institute of Technology (Shenzhen), following a master’s degree in Mechanical Engineering and a bachelor’s degree in Mechanical Design, Manufacturing and Automation.  He has been serving as a Lecturer in the School of Physics at Nanjing University of Science and Technology, where he actively combines teaching with independent and collaborative research. His work integrates experimental methods, numerical simulations, and microfluidic platform design to address fundamental and applied problems in pulmonary flow physics, chaotic advection, and microscale mixing. He has led multiple competitive youth-funded projects at national, provincial, and university levels and has contributed to several major research programs. Jun Dong has published extensively in high-impact international journals such as Physics of Fluids, Lab on a Chip, Biomicrofluidics, and Particuology. His scholarly output comprises approximately 17 scientific documents, with over 153 citations and an h-index of around 7, reflecting sustained academic impact. He has also received recognition through funded grants, invited talks, peer-review service for international journals, and granted invention patents. Overall, his research advances the understanding of micro- and bio-fluid dynamics and supports the development of next-generation microfluidic and biomedical engineering technologies.

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Featured Publications


Synergistically Enhanced High-Efficiency Mixing in Multi-Stage Micro-Mixers with Hybrid Design
Dong, J., Liu, J., Lv, H., Zhu, Y., Wang, C., Particuology, 109, 26–44, 2026.

Revisiting Streak Reorientation in a Turbulent Channel Flow Subjected to Spanwise Oscillating Walls
Wang, C., Li, M., Ying, Y., Dong, J., Yao, J., Physics of Fluids, 37, 115123, 2025.

Tracking the Transport of Inhaled Particles in a Lung-on-a-Chip during Breathing Cycles
Lv, H., Dong, J., Chen, H., Yang, Y., Zhu, Y., Microfluidics and Nanofluidics, 29, 64, 2025.

Flow Topology and Mixing in Alveolar Edema: Unsteady Flow in Interconnected Cavities with Moving Walls
Dong, J., Lv, H., Wang, C., Yang, Y., Chen, H., Zhu, Y., Physics of Fluids, 36, 2024.

Three-Dimensional Critical Points and Flow Patterns in Pulmonary Alveoli with Rhythmic Wall Motion
Dong, J., Lv, H., Yang, Y., Cao, Y., Zhu, Y., Journal of Physics D: Applied Physics, 56, 475401, 2023.

Mohammadreza Hasandust Rostami | Energy and Sustainability | Engineering Creativity Award

Dr. Mohammadreza Hasandust Rostami | Energy and Sustainability | Engineering Creativity Award

Tarbiat modares university | Iran

Mohammadreza Hasandust Rostami is a mechanical engineering researcher specializing in renewable energy systems, computational fluid dynamics (CFD), and advanced thermal engineering. He is currently pursuing doctoral research in biosystem mechanics with a strong academic record and extensive experience in numerical modeling, thermal optimization, and energy-efficient system design. His research portfolio includes peer-reviewed journal articles indexed in international databases, contributing to an established h-index, multiple published documents, and an increasing citation record within the fields of heat and mass transfer and sustainable energy systems. His scholarly work focuses on thermal energy storage systems, atmospheric water generation technologies, nanofluid-enhanced heat exchangers, phase change materials, and geothermal-assisted cooling solutions. Professionally, he has served as an industrial design engineer, mechanical engineer, and consulting specialist, collaborating with manufacturing and heavy industry sectors on FEM analysis, CFD simulations, and thermal performance optimization using advanced engineering software. His research outputs have appeared in reputable international journals published by Wiley, MDPI, and other academic publishers, and several additional works are under review. Through applied research, industrial consulting, and interdisciplinary innovation, his work contributes to energy efficiency, water sustainability, and climate-responsive engineering, positioning him as an emerging researcher at the intersection of thermal sciences, renewable energy, and computational engineering.

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Featured Publications



Thermal Performance Investigation of SWCNT and Graphene Quantum Dots Nanofluids in a Shell-and-Tube Heat Exchanger Using Fin-Blade Tubes
M. H. Rostami, G. Najafi, B. Ghobadin, A. Motevali.
Heat Transfer, 2020, 49(8), 4783–4800. (Citations: 23)


Evaluation and Improvement of PCM Melting in Double-Tube Heat Exchangers Using Nanoparticle–PCM Combinations for Renewable Energy Systems
A. Motevali, M. Hasandust Rostami, G. Najafi, W. M. Yan.
Sustainability, 2021, 13(19), 10675. (Citations: 21)


Evaluation and Enhancement of Thermal Energy Performance of Heat Exchangers Using SWCNT, GQD Nanoparticles and PCM (RT82)
M. H. Rostami, G. Najafi, A. Motevali, N. A. C. Sidik, M. A. Harun.
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2021, 79(1). (Citations: 15)


Numerical Analysis of Thermal and Hydrothermal Characteristics of a Heat Sink with Various Fin Configurations and Ternary Nanofluid Composition
A. Najafpour, M. H. Rostami.
Case Studies in Thermal Engineering, 2025, 68, 105928. (Citations: 12)


Experimental Analysis and CFD Simulation of a Photovoltaic/Thermal System Using Nanofluids for Sustainable Energy Solutions
M. F. Ghazali, M. I. Maulana, N. A. C. Sidik, G. Najafi, M. I. M. Rashid, M. F. Jamlos, et al.
Journal of Advanced Research in Numerical Heat Transfer, 2024, 24(1), 1–13. (Citations: 8)

Meltem Eranıl | Social Sciences | Excellence in Research Award

Assist. Prof. Dr. Meltem Eranıl | Social Sciences | Excellence in Research Award

Izmir University of Economics | Turkey

Meltem Eranil is an academic researcher affiliated with Yaşar University, Turkey, with scholarly contributions indexed in Scopus that reflect a focused and emerging research profile. According to Scopus data, she has authored 3 peer-reviewed documents, which together have received 36 citations, resulting in an h-index of 1, indicating growing academic influence within her field. Her academic background is grounded in advanced university-level training, supporting her engagement in research, teaching, and scholarly collaboration. Professionally, she has contributed to academic research through publication activity and co-authored works, demonstrating experience in collaborative and interdisciplinary environments. Her research interests align with contemporary themes in her discipline, emphasizing analytical rigor, applied methodologies, and knowledge dissemination through indexed journals. Although no awarded grants are currently listed in Scopus, her citation impact highlights the relevance of her work within the scholarly community. Overall, Meltem Eranil’s academic profile reflects a developing research trajectory marked by peer-reviewed publications, measurable citation impact, and ongoing contributions to academic scholarship, positioning her as a researcher with potential for continued growth and broader international visibility.

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Featured Publications

Z. Seymen, M. Eranıl
Kadın/Woman 2000: Journal for Women’s Studies, 24(2), 2024 ·

Ö. Demirbaş, M. Eranıl
IDA International Design and Art Journal, 2023 ·

M. Eranıl, M. O. Gürel
Gender, Place & Culture, 2018 ·

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

Amir Hossein akbari | Engineering and Technology | Research Excellence Award

Dr. Amir Hossein akbari | Engineering and Technology | Research Excellence Award

Iran University of Science and Technology | Iran

Amir Hosein Akbari is an accomplished researcher in industrial engineering with a strong record of scholarly impact his academic background is grounded in advanced industrial engineering education, complemented by progressive research experience spanning optimization, decision sciences, and intelligent systems. His professional experience includes active involvement in high-quality research collaborations and contributions to applied and theoretical studies addressing complex industrial and societal problems. His core research interests focus on supply chain management, optimization, meta-heuristic and evolutionary algorithms, scheduling, decision support systems, and artificial intelligence–driven industrial applications, with several influential works in expert systems, soft computing, and manufacturing systems. His publications have appeared in high-impact venues such as Expert Systems with Applications, Soft Computing, and Neural Computing and Applications, reflecting both methodological rigor and practical relevance. Recognition of his work is demonstrated through strong citation performance and collaborations with well-established scholars in operations research and industrial engineering. Overall, his research portfolio highlights a consistent commitment to advancing intelligent optimization methods and decision-making frameworks, contributing valuable insights to academia and industry while strengthening the scientific foundations of modern industrial engineering.

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Featured Publications

 

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.

Katarzyna Kaczmarek | Neuroscience | Best Researcher Award

Dr. Katarzyna Kaczmarek | Neuroscience | Best Researcher Award

Department of Pathophysiology of Locomotor Organs, Poznań University of Medical Sciences | Poland

Katarzyna Kaczmarek and Juliusz Huber are Polish biomedical researchers whose collaborative work spans clinical neurophysiology, locomotor organ pathophysiology, and diagnostics. Huber holds a full professorship in the Department of Pathophysiology of Locomotor Organs at Poznań University of Medical Sciences, His Sciprofiles entry indicates a recognized researcher ID and affiliation at Poznań UMS. Their educational backgrounds include advanced degrees in biomedical sciences and related fields, enabling integration of clinical and neurophysiological methodologies. Together, they have led studies correlating provocative clinical signs (e.g. Tinel, Phalen) with nerve conduction parameters in carpal tunnel syndrome. Their research interests include peripheral neuropathies, electromyography/nerve conduction studies, diagnostic method validation, and translational neurophysiology. They have contributed to both clinical and methodological scholarship.

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Featured Publications

Kaczmarek, K., Pepliński, J., Kaczmarek, A., Andrzejuk, D., Andruszkiewicz, K., Wysocka, A., Witkowska, M., & Huber, J. (2025). Correlations of Tinel and Phalen signs with nerve conduction study test results in a randomly chosen population of patients with carpal tunnel syndrome. NeuroSci, 6(4), 94.

Daroszewski, P., Huber, J., Kaczmarek, K., Janusz, P., Główka, P., Tomaszewski, M., & Kotwicki, T. (2024). “Real-time neuromonitoring” increases the safety and non-invasiveness and shortens the duration of idiopathic scoliosis surgery. Journal of Clinical Medicine, 13(5), 1497.

Daroszewski, P., Kaczmarek, K., & Huber, J. (2024). Monitoring of the pharmacological treatment availability in patients with multiple sclerosis in the Greater Poland population. Rheumatology.

Daroszewski, P., Huber, J., Kaczmarek, K., Janusz, P., Główka, P., Tomaszewski, M., Domagalska, M., & Kotwicki, T. (2023). Comparison of motor evoked potentials neuromonitoring following pre- and postoperative transcranial magnetic stimulation and intraoperative electrical stimulation in patients undergoing surgical correction of idiopathic scoliosis. Journal of Clinical Medicine, 12(19), 6312.

Daroszewski, P., Garasz, A., Huber, J., Kaczmarek, K., Janusz, P., Główka, P., Tomaszewski, M., & Kotwicki, T. (2023). Update on the neuromonitoring procedures applied during surgeries of the spine – observational study. Rheumatology.