Jiqing Wang | Engineering | Research Excellence Award

Published on by Academic Awards

Dr. Jiqing Wang | Engineering | Research Excellence Award

Beihang University School of Electronic and Information Engineering | China

Dr. Jiqing Wang is an emerging researcher in electronic science and intelligent computing, specializing in high-efficiency deep neural network acceleration and hardware–software co-design. His work bridges algorithm optimization—including model quantization, separable and partial convolution, and multi-scale feature extraction—with RTL-level FPGA/SoC hardware implementations. He has contributed to peer-reviewed, Scopus-indexed research, notably on hardware-friendly joint denoising and demosaicing systems that reduce model complexity while enhancing image quality and computational efficiency. With 29 citations across 24 documents and an h-index of 4, his research demonstrates growing impact in edge AI, computer vision acceleration, and reconfigurable hardware architectures, aligning with early-stage Research Excellence recognition.

Citation Metrics (Scopus)

30

25

20

15

10

5

0

Citations
29

Documents
7

h-index
4

■ Citations
■ Documents
■ h-index


View Scopus Profile

Featured Publications

Abdulaziz Almaktoom | Engineering | Best Researcher Award

Published on by Academic Awards

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

Qing Lyu | Engineering | Best Researcher Award

Published on by Academic Awards

Dr. Qing Lyu | Engineering | Best Researcher Award

Wake Forest University School of Medicine | United States

Dr. Qing Lyu is a highly accomplished researcher in biomedical engineering and AI-driven medical imaging, with a strong track record of innovation and scholarly impact. He holds a B.S. and M.S. in Biomedical Engineering from Shanghai Jiao Tong University and a Ph.D. from Rensselaer Polytechnic Institute, where his dissertation focused on deep neural networks for MRI applications. Currently, he serves as Assistant Professor in Radiology and Adjunct Assistant Professor in Biomedical Engineering at Wake Forest University School of Medicine. Dr. Qing Lyu’s research spans MRI and CT super-resolution, multimodal radiomics, deep learning for disease prediction, and AI-based clinical translation. His scholarly output includes 14 documents indexed in Scopus, accruing 594 citations and an h-index of 8, reflecting both quality and influence. He holds multiple patents, has secured competitive grants, and serves on editorial boards while reviewing for top journals and conferences, underscoring his leadership in advancing biomedical imaging, AI, and translational medical research.

Profile: Scopus | Google Scholar

Featured Publications

Lyu, Q., Tan, J., Zapadka, M. E., Ponnatapura, J., Niu, C., Myers, K. J., Wang, G., … & Whitlow, C. (2023). Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: Results, limitations, and potential. Visual Computing for Industry, Biomedicine, and Art, 6(1), 9.

Lyu, Q., Shan, H., Steber, C., Helis, C., Whitlow, C., Chan, M., & Wang, G. (2020). Multi-contrast super-resolution MRI through a progressive network. IEEE Transactions on Medical Imaging, 39(9), 2738–2749.

Lyu, Q., Shan, H., & Wang, G. (2020). MRI super-resolution with ensemble learning and complementary priors. IEEE Transactions on Computational Imaging, 6, 615–624.

Lyu, Q., & Wang, G. (2022). Conversion between CT and MRI images using diffusion and score-matching models. arXiv preprint arXiv:2209.12104.

Niu, C., Li, M., Fan, F., Wu, W., Guo, X., Lyu, Q., & Wang, G. (2022). Noise suppression with similarity-based self-supervised deep learning. IEEE Transactions on Medical Imaging, 42(6), 1590–1602.

Yuh-Ming Ferng | Engineering | Best Researcher Award

Published on by Academic Awards

Prof. Yuh-Ming Ferng | Engineering | Best Researcher Award

National Tsing Hua University | Taiwan

Prof. Yuh-Ming Ferng, a distinguished Professor at the Department of Engineering and System Science, Institute of Nuclear Engineering and Science, National Tsing Hua University (NTHU), has made significant contributions to nuclear engineering through his extensive research and academic leadership. He earned his B.S. and Ph.D. in Nuclear Engineering from NTHU, where his doctoral thesis focused on the numerical simulation of the rewetting process. With a professional career spanning over three decades, Prof. Yuh-Ming Ferng has held roles as Assistant, Associate, and Full Professor at NTHU, alongside senior research positions at its Nuclear Science and Technology Development Center and the Center for Energy and Environmental Research, as well as the Institute of Nuclear Energy Research. His research expertise covers nuclear reactor safety, severe accident analysis, CFD turbulence modeling, two-phase flow, thermal management, fuel cell simulation, and renewable energy systems. With 2,470 citations, 168 documents, and an h-index of 30, he is a highly impactful researcher in his field.

Profile: Scopus

Featured Publications

  • Ferng, Y.-M., & co-authors. (2026). Determining minimum site area for deep geological repository of spent fuels using thermal simulations. Annals of Nuclear Energy. Advance online publication.

  • Ferng, Y.-M., & co-authors. (2025). Thermal management design for the Be target of an accelerator-based boron neutron capture therapy system using numerical simulations with boiling heat transfer models. Processes. Advance online publication.

  • Ferng, Y.-M., & co-authors. (2024). Development of thermal-hydraulic coupling model for deep-geological disposal of high-level radioactive wastes. Nuclear Engineering and Design.

  • Ferng, Y.-M., & co-authors. (2024). Numerical model for noise reduction of small vertical-axis wind turbines. Wind Energy Science.

  • Ferng, Y.-M., & co-authors. (2024). Numerical prediction of the aerodynamics and aeroacoustics of a 25 kW horizontal axis wind turbine. Journal of Mechanics.

Xun Zhang | Engineering | Best Researcher Award

Published on by Academic Awards

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

Published on by Academic Awards

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.

Mehrdad Esmaeilipour | Engineering | Industry Impact Award

Published on by Academic Awards

Mr. Mehrdad Esmaeilipour | Engineering | Industry Impact Award

Mr. Mehrdad Esmaeilipour, Aria Plasma Gostar Pars, Iran

Mr. Mehrdad Esmaeilipour is a results-driven Electronics Engineer with expertise in green technology and sustainable innovation. He currently serves as a Senior Electronics Engineer at Arya Plasma Gostar Pars Company, where he leads the development of advanced air and water purification systems. He is also the founder and CEO of Parsa Pardazesh Booshehr Sanaat Company (PPBS Co.), a successful electronics and IT firm empowering students and young professionals. Mehrdad holds degrees in Electronics Engineering Technology from Islamic Azad University and has authored multiple technical books in English. His notable inventions include a patented smart bracelet for the visually impaired and a cold plasma wastewater treatment system. He has published research in AI, robotics, and control systems, and has been recognized with international awards, including the Best Innovator Award (EBP 2025). As a mentor, speaker, and conference contributor, Mehrdad exemplifies the intersection of environmental sustainability, digital health, and industrial innovation.

Publication Profile

Google Scholar

🎓 Educational Background

Mr. Mehrdad Esmaeilipour possesses a strong academic foundation in electronics, beginning with a Diploma in Electronics from Azadegan Technical High School in 2006, which laid the groundwork for his technical skills and practical understanding of electrical systems. He further advanced his education by earning an Associate’s Degree in Electronics from Islamic Azad University in 2009, where he gained deeper insights into circuit design, microcontroller applications, and system troubleshooting. Demonstrating a commitment to academic and professional growth, he completed his Bachelor’s Degree in Electronics Engineering Technology from the same university in 2012. This program enriched his expertise in advanced electronics, control systems, and design methodologies, effectively equipping him with the theoretical and practical knowledge required for innovation in green technology, robotics, and digital systems. His educational journey has been instrumental in shaping his career as a pioneering engineer, entrepreneur, and inventor with a focus on industrial impact and environmental sustainability.

💼 Work History

Mr. Mehrdad Esmaeilipour has demonstrated a robust and impactful professional journey across engineering, entrepreneurship, and mentorship. Since 2017, he has served as Senior Electronics Engineer at Arya Plasma Gostar Pars Company, where he leads the design and development of innovative circuits for air and water purification systems using cold plasma technology. His contributions include optimizing ICs, implementing quality control, and supporting environmental sustainability initiatives. Concurrently, as CEO and Engineer at Parsa Pardazesh Bushehr Sanat Company (PPBS Co.) since 2014, he has fostered technological innovation and employment through various projects such as cybersecurity implementation and telecommunication systems. He has mentored young talents and led cutting-edge installations across academic and commercial institutions. Moreover, Mehrdad has volunteered over 550 hours with the Robotics Team at Islamic Azad University, contributing to robotics circuit design, control systems, and prototype development. His work reflects strong leadership, technical expertise, and a commitment to industry transformation through sustainable technology.

🏅 Honors, Awards, and Certifications

Mr. Mehrdad Esmaeilipour has received multiple prestigious honors and certifications recognizing his expertise and contributions to engineering and technological innovation. In 2025, he was awarded the Best Innovator Award by the 32nd International Research Excellence and Best Paper Awards (EBP), validating his industry impact. His commitment to professional development is evident through certifications from HP Cert in Cybersecurity Awareness, Business Email, and IT for Business Success (2025). He also earned a research training certificate from Oxford Cert Universal and was recognized as an Electronic Researcher and Troubleshooting Expert by the World Technology Group in Germany (2024). In 2023, he completed a robotics and smart systems course with INT UNIONS and was certified in Solar Photovoltaic System Design by Oxford EDU Academy (2022). Earlier accolades include a letter of appreciation from Electro Sanaat-e Lian (2017) and safety training certifications from 2013 to 2014. These credentials reflect his continuous pursuit of excellence in engineering and sustainability.

🔬 Research Focus 

Mr. Mehrdad Esmaeilipour’s research primarily focuses on Applied Electronics Engineering with interdisciplinary applications in Green Technology, Control Systems, and Artificial Intelligence. His contributions span the design and optimization of intelligent controllers such as Fuzzy Logic and PID systems for robotics and electric motors, highlighting his expertise in automation and motion control. He is also deeply engaged in the development of cold plasma technologies for electronic and environmental applications, including sterilization and wastewater treatment, emphasizing sustainability. His publications and patents reflect a commitment to solving industrial challenges through smart sensor systems, energy-efficient technologies, and wearable health devices like the Smart Bracelet for the visually impaired. Furthermore, his work in photovoltaic system design and lithium-ion battery technologies showcases his role in advancing clean energy systems. Integrating AI with electrical systems is a recurring theme, placing his research at the intersection of electronics, smart systems, and environmental impact, ideal for industrial innovation and societal advancement.

Publication Top Notes

  • Design, Construction and Performance Comparison of Fuzzy Logic Controller and PID Controller for Two-Wheel Balance Robot (Smart Sensors) – 2025

  • Advanced Design, Simulation, Monitoring, Control, and Maintenance Strategies for Photovoltaic Solar Power Systems (Book) – 2025

  • Advancements in Cold Plasma Technology for Electronic and Surface Sterilization Applications (JEEE) – 2025

  • Advances and Challenges in Lithium-Ion Battery Technology – 2025

  • Design of an Optimal PID Controller Utilizing AI Techniques for Brushless DC Motor with Phase Shift – 2025

  • Advancements in Cold Plasma Technology for Electronic and Surface Sterilization Applications – 2025

  • Design, Construction and Performance Comparison of Fuzzy Logic Controller and PID Controller for Two-Wheel Balance Robot (Conference) – 2025

  • An Extensive Optimization Framework for Energy Management within Energy Hubs – 2025

  • Best Innovator Awardee (EBP Award Recognition) – 2024

  • Fundamental Subject on Advanced Energy Extraction Technologies for Smart Platforms –2024

 

Xiaolong Lu | Engineering | Best Researcher Award

Published on by Academic Awards

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 [–] 🌡️📊

Suganya. R | Engineering | Best Researcher Award

Published on by Academic Awards

Dr. R. Suganya| Engineering | Best Researcher Award

Associate Professor,  Dr.  N.G.P Institute of Technology,  India.

Dr. R. Suganya, an Associate Professor at Dr. N.G.P Institute of Technology, has nearly 20 years of experience in engineering education. Her research focuses on mobile networks, IoT, and machine learning, resulting in 21 publications in Scopus-indexed journals. Notable achievements include the Academic Excellence Award from Novel Research Academy and multiple NPTEL accolades. As a mentor for the IITB-AICTE Mapathon, she has demonstrated her commitment to student engagement and collaborative learning. Dr. Suganya’s impressive contributions to academia and research make her a deserving candidate for the Research for Best Researcher Award.

Publication Profile

Google Scholar

Educational Background 

Dr. R. Suganya holds a commendable academic record, beginning with her Bachelor of Engineering (B.E.) in Electronics and Communication from V.L.B Janakiammal College of Engineering and Technology, where she graduated with First Class honors. She continued her education at Kumaraguru College of Technology, earning a Master of Engineering (M.E.) in Computer Science and Engineering with Distinction. Her commitment to academic excellence culminated in a Ph.D. from Anna University, Chennai, where she conducted advanced research, further solidifying her expertise in her field. This solid educational foundation underpins her effective teaching and innovative research contributions in engineering.

Professional Experiences

Dr. R. Suganya has a robust academic background, currently serving as an Associate Professor at Dr. N.G.P Institute of Technology since May 2023, following an extensive tenure of nearly 17 years at Sri Krishna College of Technology. Her teaching experience spans across various levels of engineering education, showcasing her dedication to nurturing the next generation of engineers. Additionally, her role as a lecturer at Nanjiah Lingammal Polytechnic College provided her with foundational teaching experience that further solidified her pedagogical skills.

Research Interests and Contributions

Dr. Suganya’s research interests are primarily in the domains of mobile networks, IoT, and machine learning, evidenced by her impressive publication record. She has authored 21 articles in Scopus-indexed journals, covering innovative topics such as channel allocation methods, secure voting systems, and cancer recognition frameworks. Her recent work involves the application of advanced algorithms and machine learning techniques, demonstrating her commitment to leveraging technology for real-world applications.

Awards and Achievements  

Dr. Suganya’s achievements have not gone unnoticed. She has received several accolades, including the Academic Excellence Award from Novel Research Academy and the NPTEL Discipline Star Award on two occasions. Her recognition as a mentor for the IITB-AICTE Mapathon further underscores her ability to guide students and foster collaborative learning environments. Such acknowledgments illustrate her impact within the academic community and her dedication to excellence in research and teaching.

Conclusion

In conclusion, Dr. R. Suganya’s extensive experience, notable research contributions, and numerous accolades make her an exceptional candidate for the Research for Best Researcher Award. Her commitment to academic excellence, coupled with her innovative research in technology, positions her as a leading figure in her field. Recognizing her contributions through this award would not only honor her achievements but also inspire others in the academic community to pursue excellence in research and education.

Publication Top Notes

  • Automated smart trolley with smart billing using Arduino 📝 (22) – 2016
  • Classification of DDoS attacks–A survey 📊 (13) – 2020
  • Simulation and Analysis of SVHM Technique for DCMLI under Transient Conditions with Non-Linear Loads 🔬 (8) – 2017
  • Blockchain based secure voting system using IoT 🔒 (6) – 2020
  • Reduction of THD in Single Phase AC to DC Boost Converter using PID controller ⚡ (6) – 2014
  • Fuzzy rough set inspired rate adaptation and resource allocation using Hidden Markov Model (FRSIRA-HMM) in mobile ad hoc networks 🧠 (5) – 2019
  • Automated Toll Plaza System Using RFID and GSM Technology 🚦 (5) – 2018
  • Tamper detection using watermarking scheme and k-mean clustering for bio-medical images 🖼️ (5) – 2016
  • Voltage control of AC-DC converter using sliding mode control ⚙️ (5) – 2013
  • Air Quality Monitoring System with Emergency Alerts Using IoT 🌍 (4) – 2021
  • Detect fake identities using improved Machine Learning Algorithm 🔍 (4) – 2021
  • Smart sentimental analysis of the impact of social media on COVID-19 📱 (4) – 2021
  • Pathogenesis of oral squamous cell carcinoma—an update 🦷 (4) – 2019
  • Identifying and Ranking Product Aspects based on Consumer reviews 🛍️ (4) – 2015
  • An Iterative Image Restoration Scheme for Degraded Face Images 🖥️ (4) – 2013
  • Product review analysis by web scraping using NLP 📝 (3) – 2022
  • An Erlang Factor integrated channel allocation method for boosting quality of services in mobile ad hoc networks 📶 (3) – 2018
  • Denial-of-Service Attack Detection Using Anomaly with Misuse Based Method 🚫 (3) – 2016
  • Development and Proposal System for the Formulation of Solar paint 🌞 (2) – 2021
  • Immunohistochemical expression of Bcl‑2 in oral squamous cell carcinoma 🩺 (2) – 2009

 

Mehrdad ghamari | Engineering Award | Best Researcher Award

Published on by Academic Awards

Mr. Mehrdad ghamari | Engineering Award | Best Researcher Award

Mr. Mehrdad ghamari, Edinburgh Napier University, Edinburgh, United Kingdom

Dr. Mehrdad Ghamari is a visiting researcher at Edinburgh Napier University, specializing in structural engineering and photovoltaic integration for passive cooling. He earned his M.Sc. from the University of Isfahan and has held lecturer positions at Islamic Azad University. His research focuses on the effects of lateral constraints on unreinforced masonry walls and has resulted in numerous publications in respected journals. Fluent in English and Persian, he has significant experience in civil engineering design and supervision, having designed over 100 concrete and steel structures. 🎓🏗️

 

Publication Profile

Google Scholar

Education

Mr. Ghamari holds a Master’s degree in Structural Engineering from the University College of Engineering, University of Isfahan, where he excelled with a GPA of 17.76 out of 20. His academic journey began with a Bachelor’s degree in Civil Engineering from the University of Tehran. His commitment to ongoing education is evident through his roles as a visiting researcher at renowned universities in the UK and Portugal.

Research Experience & Interests

Mr. Ghamari has actively engaged in multiple innovative research projects, focusing on topics such as photovoltaic integration for passive cooling applications and the effects of lateral constraints on historical masonry walls. His work is supervised by respected professors in the field, showcasing his ability to collaborate effectively and contribute to meaningful research. Notable projects include analyzing the structural integrity of Persian historical masonry and investigating the impact of advanced materials like fiber-reinforced polymers on traditional structures.

Academic Experience

Mr. Ghamari has lectured on a range of subjects, including structural analysis and mechanics of materials, at various institutions. His ability to convey complex concepts to students reflects his deep understanding of the subject matter and his commitment to academic excellence

Work Experience

Mr. Ghamari has accumulated substantial practical experience in civil engineering. He has designed and supervised numerous concrete and steel structures in Iran and holds a license for supervision and implementation within the Construction Engineering Organization of Iran. His practical insights complement his academic prowess, making him a well-rounded candidate.

Conclusion

Mr. Mehrdad Ghamari’s extensive educational background, innovative research contributions, teaching experience, and practical engineering skills make him a highly suitable candidate for the Best Researcher Award. His commitment to advancing sustainable engineering practices and his contributions to the field demonstrate his potential to influence future developments in civil engineering and structural analysis.

Publication Top Notes

  • Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review 🌱 – Cited by: 8 | Year: 2024
  • Solar Wall Technology and Its Impact on Building Performance ☀️ – Cited by: 3 | Year: 2024
  • Parametric Study of Failure Load of Persian Brick Masonry Domes Stiffened by FRP Strips under Concentrated Monotonic Loads 🏛️ – Cited by: 3 | Year: 2016
  • Biomass Derived Biofluorescent Carbon Dots for Energy Applications: Current Progress and Prospects 🔋 – Cited by: 2 | Year: 2024
  • Effects of lateral constraints, geometrical characteristics and pre-compression level on the Drift capacity of Persian historical masonry walls 🧱 – Cited by: 2 | Year: 2021
  • Effects of Lateral Constraints and Geometrical Characteristics on Deformation Capacity of the Persian Historic Unreinforced Masonry Shear Walls under Uncertainty Conditions ⚖️ – Cited by: 2 | Year: 2020
  • Determination of Partial Safety Factors (γM) for Model Uncertainties for Persian Historical Masonry Materials 🏗️ – Cited by: 1 | Year: 2021
  • Valorization of diverse waste-derived nanocellulose for multifaceted applications: A review 🌿 Year: 2024
  • Solar Window Innovations: Enhancing Building Performance through Advanced Technologies 💡  Year: 2024
  • Flanges’ Impact on Persian Historical Masonry Walls: Modeling Safety Factors 🏢 Year: 2024