Anastasia Feofilova | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Anastasia Feofilova | Engineering | Best Researcher Award

Don State Technical University | Russia

Assoc. Prof. Dr. Anastasia Feofilova is an accomplished researcher in intelligent transport systems, traffic flow prediction, and urban mobility engineering. Her work focuses on advanced AI-driven traffic modeling, including hybrid CNN–LSTM/GRU architectures, attention mechanisms, geoinformation systems in transport logistics, cooperative intelligent transport systems (C-V2X), and the impacts of autonomous vehicles on road network efficiency. She has contributed to peer-reviewed journals and international book chapters, with research published in reputable outlets such as Smart Cities, Sensors, Applied and Computational Engineering, and E3S Web of Conferences. With an established Scopus profile, consistent citation impact, interdisciplinary collaborations, and contributions to software development and educational-methodological outputs, her research demonstrates both scientific rigor and applied societal relevance, particularly in smart city development and road safety enhancement.

Citation Metrics (Scopus)

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Citations
36

Documents
7

h-index
4

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Featured Publications

Abdulaziz Almaktoom | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Abdulaziz Almaktoom | Engineering | Best Researcher Award

Effat University | Saudi Arabia

Assoc. Prof. Dr. Abdulaziz Almaktoom, is a distinguished scholar and leader in Operations and Supply Chain Management, serving as Associate Professor and Chair of the Business Administration Department. With 39 publications, 275 citations, and an h-index of 10, he is recognized among the top 20 scientists in Decision Science and Operations Management in Saudi Arabia. His expertise spans operations management, project management, data analytics, industrial ergonomics, lean and six sigma, quality assurance, risk management, and applied statistics. He has pioneered innovative curriculum development, establishing specialized programs and securing full accreditation from NCAAA and AACSB. Renowned for mentoring students, leading cross-functional teams, and driving industry collaborations, he combines research excellence with impactful teaching. His strategic vision has enhanced academic standards, tripled student enrollment, and supported students’ success, while his consultancy and professional certifications underscore his commitment to advancing operational efficiency, research innovation, and applied solutions across industry and academia.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Merabet, A., Saighi, A., Saad, H., Ferradji, M. A., Laboudi, Z., & Almaktoom, A. T. (2025). AI for colon cancer: A focus on classification, detection, and predictive modeling. International Journal of Medical Informatics, 106115.

Almaktoom, A. T., & Yusuf, N. (2025). Optimizing forecasting techniques for cost-effective procurement of controlled medications in Saudi Arabia’s healthcare system. International Journal of Pharmaceutical and Healthcare Marketing.

Almaktoom, A. T. (2025). Resilience modeling of mobile service for quality assurance. Operations Management Research, 18(1), 182–194.

Sasikumar, A., Ravi, L., Devarajan, M., Selvalakshmi, A., & Almaktoom, A. T. (2024). Corrections to “Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things.” IEEE Access, 12, 163197–163197.

Bezoui, M., Kermali, A., Bounceur, A., Qaisar, S. M., & Almaktoom, A. T. (2024). Deep reinforcement learning for multiobjective scheduling in Industry 5.0 reconfigurable manufacturing systems. In Machine Learning for Networking: 6th International Conference, MLN 2023

Xun Zhang | Engineering | Best Researcher Award

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Mr. Xun Zhang | Engineering | Best Researcher Award

ISEP | France

Mr. Xun Zhang is a distinguished scholar specializing in embedded systems and wireless communication, currently serving as Professor at ISEP and permanent researcher at Saclay-Versailles University. He earned his MSc from Sorbonne University in 2005, PhD in Electrical Engineering from the University of Lorraine in 2009, and completed his Thesis Habilitation in Optical Wireless Communication at Sorbonne University in 2021. His career includes appointments as visiting professor at Tsinghua University, China, and De Vic University, Spain, along with postdoctoral research at Centralesupélec, Rennes. A senior member of IEEE, he has contributed extensively to the academic community as Associate Editor of IEEE Transactions on Broadcasting, Guest Editor for MDPI Sensors, Editor-in-Chief of the International Journal of Internet of Things, and organizer of major IEEE conferences including BMSB and ISCAS. He has supervised numerous postdoctoral researchers and PhD students on cutting-edge topics such as visible light communication, 6G IoT networks, indoor localization, and AI-driven optical systems. Recognized with awards including the Vivatech Innovation Award and supported by a French government PhD scholarship, his research continues to shape the future of IoT, 5G/6G, and optical communication technologies.

Profile: Google Scholar

Featured Publications

Ding, W., Yang, F., Yang, H., Wang, J., Wang, X., Zhang, X., & Song, J. (2015). A hybrid power line and visible light communication system for indoor hospital applications. Computers in Industry, 68, 170–178.

Song, J., Ding, W., Yang, F., Yang, H., Wang, J., Wang, X., & Zhang, X. (2014). Indoor hospital communication systems: An integrated solution based on power line and visible light communication. In 2014 IEEE Faible Tension Faible Consommation (FTFC) (pp. 1–6). IEEE.

Shi, L., Shi, D., Zhang, X., Meunier, B., Zhang, H., Wang, Z., Vladimirescu, A., Li, W., … (2020). 5G Internet of radio light positioning system for indoor broadcasting service. IEEE Transactions on Broadcasting, 66(2), 534–544.

Kaloxylos, A., Gavras, A., Camps Mur, D., Ghoraishi, M., & Hrasnica, H. (2021). AI and ML–Enablers for beyond 5G networks. IEEE Communications Standards Magazine, 5(2), 12–18.

Malik, B., & Zhang, X. (2015). Solar panel receiver system implementation for visible light communication. In 2015 IEEE International Conference on Electronics, Circuits, and Systems (ICECS) (pp. 249–252). IEEE.

Jungsoo Nam | Engineering | Best Researcher Award

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Dr. Jungsoo Nam | Engineering | Best Researcher Award

Dr. Jungsoo Nam | Korea Institute of Industrial Technology | South Korea

Dr. Jungsoo Nam is a distinguished researcher in mechanical engineering, specializing in advanced manufacturing, precision machining, and nanotechnology applications. He earned his Ph.D. in Mechanical Engineering from Sungkyunkwan University, focusing on micro-drilling processes using nanofluids, after completing his undergraduate studies in Mechanical System and Design Engineering at Seoul National University of Science and Technology. Currently serving as Principal Researcher at the Korea Institute of Industrial Technology (KITECH), he has led pioneering projects in hybrid 3D printing, cryogenic machining, additive manufacturing, and carbon fiber reinforced plastics machining. His international research exposure includes a tenure as a Research Scholar at Purdue University, where he contributed to innovative developments in atomization-based spray coating and sensor fusion systems. Recognized with numerous prestigious honors such as the Young Researcher Award at PRESM, KITECH Best Researcher Award, and multiple best paper awards from leading engineering societies, Dr. NamDr. Jungsoo Nam has established himself as a leader in precision engineering and smart manufacturing technologies.

Publication Profile

Scopus

Google Scholar

Educational Background

Dr. Jungsoo Nam pursued his academic journey in the field of mechanical engineering with a strong focus on advanced manufacturing processes and nanotechnology applications. He earned his Bachelor of Science in Mechanical System and Design Engineering from Seoul National University of Science and Technology in Seoul, Korea, where he laid the foundation for his expertise in precision engineering and system design. Building on this foundation, he advanced to graduate studies at Sungkyunkwan University in Suwon, Korea, where he successfully completed his doctoral degree in Mechanical Engineering. Under the mentorship of Dr. Sang Won Lee, his doctoral dissertation was titled “A Study on Characterization and Monitoring for Micro-Drilling Process Using Nanofluids,” reflecting his early commitment to pioneering research in machining processes and process monitoring. His academic background highlights a blend of strong theoretical knowledge and applied research, establishing a solid platform for his distinguished career in engineering innovation.

Honors and Awards

Dr. Jungsoo Nam has been widely recognized for his outstanding contributions to mechanical engineering and precision manufacturing through numerous prestigious honors and awards. His achievements include the Young Researcher Award at PRESM, multiple Best Paper Awards from the Korean Society for Precision Engineering, and the Korean Society of Mechanical Engineers Best Paper Award. At the Korea Institute of Industrial Technology, he was honored with both the Best Researcher Award and the President Award, reflecting his leadership and excellence in applied research. He has also received the KSPE Young Engineer Award, the Kistler Korea Technology Award, and the NAMRC Outstanding Paper recognition, further establishing his influence in the global research community. Early in his career, he earned the Graduate School Award for his dissertation with highest honors and was recognized for highly cited journal articles, including awards from the International Journal of Precision Engineering and Manufacturing. These accolades collectively highlight his innovation, impact, and sustained excellence in engineering research.

Research and Work Experience

Dr. Jungsoo Nam has built an extensive research and professional career in the field of mechanical engineering with a focus on advanced manufacturing, precision machining, and smart technologies. He has been serving as Principal Researcher at the Korea Institute of Industrial Technology, where he has led projects on hybrid 3D printing, cryogenic machining, high productivity turning centers, and machining systems for carbon fiber reinforced plastics with innovative monitoring technologies. His international research exposure includes his tenure as a Research Scholar at Purdue University, where he contributed to atomization-based spray coating, sensor fusion, and development of advanced manufacturing systems. Prior to this, he worked as a Postdoctoral Research Associate at Sungkyunkwan University, advancing IoT-based machine tool prognostics and smart factory integration with cyber-physical systems. His early career as a Graduate Student Research Assistant involved groundbreaking work on environmentally friendly micromachining, nanofluid applications, and cryogenic machining technologies. Additionally, he served in the Republic of Korea Marine Corps, demonstrating discipline and leadership that continue to complement his research endeavors.

Research Focus

Dr. Jungsoo Nam’s research focus lies primarily in the fields of precision machining, advanced manufacturing processes, and sustainable engineering technologies. His work emphasizes micro-drilling, micro-grinding, and milling of difficult-to-machine materials such as titanium alloys and carbon fiber reinforced plastics, where he has pioneered the application of nanofluid minimum quantity lubrication to enhance machining efficiency and environmental sustainability. He has also contributed significantly to the integration of artificial intelligence, machine learning, and health monitoring systems in additive manufacturing and smart factory environments, enabling predictive diagnostics and real-time process optimization. His studies often address critical challenges in aerospace, automotive, and semiconductor applications, particularly through the development of environmentally friendly machining processes using nanodiamond particles, nano-solid lubricants, and cryogenic cooling. By bridging traditional machining with emerging smart technologies, Dr. Nam has established himself as a leader in sustainable precision engineering, ensuring high-quality manufacturing performance while reducing environmental impact and improving industrial competitiveness.

Publication Top Notes

Experimental characterization of micro-drilling process using nanofluid minimum quantity lubrication
Year: 2011
Citations: 310

An experimental study on micro-grinding process with nanofluid minimum quantity lubrication (MQL)
Year: 2012
Citations: 286

Environmentally-friendly nano-fluid minimum quantity lubrication (MQL) meso-scale grinding process using nano-diamond particles
Year: 2010
Citations: 90

Optimization of environmentally benign micro-drilling process with nanofluid minimum quantity lubrication using response surface methodology and genetic algorithm
Year: 2015
Citations: 81

Machinability of titanium alloy (Ti-6Al-4V) in environmentally-friendly micro-drilling process with nanofluid minimum quantity lubrication using nanodiamond particles
Year: 2018
Citations: 76

Conclusion

Dr. Jungsoo Nam is a highly suitable candidate for the Research for Best Researcher Award. His consistent track record of impactful publications, innovative research contributions, and prestigious honors demonstrates excellence and leadership in his field. With minor improvements in global engagement, his potential for long-term influence remains exceptional.

Xiaolong Lu | Engineering | Best Researcher Award

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Dr. Xiaolong Lu | Engineering | Best Researcher Award

Dr. Xiaolong Lu, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, China

Dr. Xiaolong Lu (b. Jan 21, 1994) is a materials scientist at the State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, CAS. He holds a Master’s in Chemical Engineering from Tianjin University and a Bachelor’s in Process Equipment from Qilu University of Technology. His expertise spans CVD, PVD, BET, and advanced tribological testing 🧪. Dr. Lu has published multiple papers on high-entropy coatings, nanostructured materials, and wear-resistant films in top-tier journals 📚. His research contributes significantly to aerospace and industrial lubrication technologies

Publication Profile

Scopus

🎓 Educational Background

Dr. Xiaolong Lu began his academic journey in Process Equipment and Control Engineering at Qilu University of Technology, where he earned his Bachelor’s degree (2012–2016) 🏫. He then advanced his expertise by pursuing a Master’s degree in Chemical Engineering at the prestigious Tianjin University from 2016 to 2019 🧪. Throughout his academic training, Dr. Lu developed a strong foundation in mechanical design, materials science, and engineering principles, which laid the groundwork for his future contributions to advanced materials and tribology research 🔬📘. His education has played a vital role in shaping his innovative research career.

💼 Work Experience

Dr. Xiaolong Lu began his professional career at Sinohydro Foundation Engineering Co., Ltd from July to December 2019, gaining valuable industry experience in engineering projects 🏗️. In January 2020, he joined the prestigious State Key Laboratory of Solid Lubrication at the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🏛️. There, he has been deeply involved in cutting-edge research on advanced tribological materials and surface coatings 🔬. His work focuses on developing innovative solutions for wear resistance and lubrication, contributing significantly to the field of materials science and engineering.

🔍 Research Focus

Dr. Xiaolong Lu’s research centers on advanced tribological materials and high-entropy coatings for wear resistance and lubrication applications ⚙️🛡️. His work extensively explores high-entropy nitrides and carbonitrides, investigating their mechanical, structural, and tribological properties under varying conditions 🧪🔬. Using cutting-edge techniques like high power impulse magnetron sputtering and high-throughput preparation methods, Dr. Lu aims to enhance coatings for demanding environments such as aviation lubricants ✈️. His research contributes to developing innovative materials that improve durability and reduce friction in mechanical systems, supporting industrial and aerospace engineering advancements

Conclusion

Dr. Xiaolong Lu’s focused research on high-entropy coatings, tribological optimization, and advanced deposition techniques marks him as a valuable contributor to applied surface engineering. His combination of practical expertise, high-impact publications, and innovative methodology makes him a strong and deserving candidate for the Best Researcher Award.

Publication Top Notes

  • Exploring atmospheric tribological properties of MoS2-(Cr, Nb, Ti, Al, V) composite coatings, Tribology International, 2021, cited by [–] 📅⚙️

  • Investigation of (CrAlTiNbV)Nx high-entropy nitride coatings for aviation lubricant, Applied Surface Science, 2021, cited by [–] 🧪✈️

  • Mechanical and tribological performance of (CrAlTiNbV)Nx nitride coatings in aviation lubricant, Ceramics International, 2021, cited by [–] 🏭🔧

  • Nanostructure, mechanical properties and tribological behavior of high-entropy carbonitrides coatings, Ceramics International, 2025, cited by [–] 🔬⚡

  • Effect of peak current on MoxN coatings microstructure and tribological behavior, Tribology International, 2023, cited by [–] ⚡🛠️

  • Characterization and wear role of (CrAlVTiNb)Nx high-entropy alloy nitride films, Journal of Alloys and Compounds, 2025, cited by [–] 🧱🔍

  • Comparative analysis of high-entropy nitrides and carbonitrides coatings over temperature range, Journal of Alloys and Compounds, 2025, cited by [–] 🌡️📊

Mehmet Bilgili | Mechanical Engineering | Best Researcher Award

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Prof. Dr. Mehmet Bilgili | Mechanical Engineering | Best Researcher Award

Professor at Cukurova University, Turkey

Prof. Mehmet Bilgili is a distinguished academic in mechanical engineering, currently serving at Cukurova University. With decades of experience in renewable energy, thermodynamics, and fluid mechanics, his work bridges traditional engineering with cutting-edge technologies like artificial intelligence and machine learning. He has contributed significantly to global scientific literature, particularly in wind and solar energy forecasting, and is recognized for his role in sustainable technology development. His interdisciplinary approach and leadership in both academic and research settings have earned him widespread respect. Prof. Bilgili is dedicated to educating future engineers while driving innovation in energy systems and environmental technologies.

Publication Profile

Google Scholar

Academic Background

Prof. Mehmet Bilgili earned all his academic degrees from Cukurova University in Turkey. He completed his undergraduate studies in Mechanical Engineering in 1992, followed by a postgraduate degree in 2003, and a Ph.D. in 2007. His doctoral research focused on predicting wind speed and power potential using artificial neural networks, while his postgraduate thesis explored wind energy potential in various Turkish locations. His education reflects a strong foundation in engineering fundamentals, enriched with advanced data-driven research methods. Prof. Bilgili has continuously applied and expanded this knowledge in his teaching, research, and scholarly contributions to the field of energy systems.

Professional Background

Prof. Bilgili has held academic positions at Cukurova University for over two decades, progressing from lecturer to full professor. He served in various roles at the university’s Ceyhan Engineering Faculty and Adana Vocational School, leading departments and shaping academic programs. His experience includes teaching core mechanical engineering subjects and supervising both undergraduate and postgraduate research. He has also contributed administratively by supporting faculty development and curriculum design. Known for integrating theory with practice, Prof. Bilgili consistently brings real-world applications into his teaching and has guided numerous engineering projects, especially in energy systems and thermal sciences.

Awards and Honors

Although specific individual awards are not explicitly listed, Prof. Mehmet Bilgili’s continuous publication in top-tier SCI journals, contributions to international conferences, and involvement in books with major publishers like SpringerNature indicate high recognition within his field. His promotion to full professor and repeated collaborations with fellow experts suggest institutional and peer acknowledgment of his impact. His recent studies on climate forecasting and machine learning models in energy systems also reflect cutting-edge innovation, often associated with research excellence. Given this academic trajectory, he is a strong candidate for honors such as the Best Researcher Award.

Research Focus

Prof. Mehmet Bilgili’s research focuses on renewable energy systems, with specialization in wind and solar power. He applies artificial intelligence and machine learning methods, such as neural networks and deep learning models (LSTM, CNN, GRU), to forecast climate patterns, optimize power generation, and improve system performance. His work spans across heat transfer, fluid mechanics, thermodynamics, HVAC, and environmental sustainability. Recently, he has explored sea currents, temperature forecasting, and hybrid energy systems. Prof. Bilgili is driven by the goal of achieving cleaner, smarter, and more efficient energy systems for the future, merging engineering principles with computational innovation.

Publication Top Notes

📘Offshore wind power development in Europe and its comparison with onshore counterpart
Year: 2011 | Cited by: 631 | 🌊💨⚡🌍

📘 Application of artificial neural networks for the wind speed prediction of target station using reference stations data
Year: 2007 | Cited by: 386 | 🤖💨📈🌐

📘 An overview of renewable electric power capacity and progress in new technologies in the world
Year: 2015 | Cited by: 297 | 🌱🔋🌎📊

📘 Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-   alcohol mixtures
Year: 2016 | Cited by: 198 | 🚗⚗️🧠📉

Conclusion

Prof. Mehmet Bilgili is an outstanding candidate for the Best Researcher Award, with over two decades of academic service and a distinguished research career in mechanical engineering and renewable energy systems. His work spans critical areas such as wind and solar energy, thermodynamics, and the integration of artificial intelligence in energy modeling—fields of immense global relevance. With a prolific publication record in SCI-expanded journals, authorship of influential books, and regular participation in international conferences, Prof. Bilgili demonstrates a consistent commitment to scientific advancement and knowledge dissemination. His interdisciplinary research, combined with impactful teaching and mentoring, firmly establishes him as a leading figure in energy sustainability and engineering innovation.