Yingchun Niu l Data Processing | Research Excellence Award

Mr. Yingchun Niu l Data Processing | Research Excellence Award

Hebei University | China

Mr. Yingchun Niu is a researcher in intelligent information processing with a doctoral background in Control Science and Engineering and strong expertise in artificial intelligence and computer vision. He holds a Ph.D., M.S., and B.S. in engineering and computing-related disciplines and has professional experience as a researcher and faculty member in cyberspace security and computer science. His research interests include point cloud semantic segmentation, uncertainty-aware learning, big data analytics, and visual understanding. His research skills cover deep learning, weakly supervised learning, 3D vision, model uncertainty estimation, and SCI journal publishing, with scholarly recognition demonstrated through high-impact international publications contributing to trustworthy and efficient intelligent perception systems.

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Featured Publications

Weakly Supervised Point Cloud Semantic Segmentation with the Fusion of Heterogeneous Network Features

Image and Vision Computing, 2024
Beyond Accuracy: More Trustworthy Weakly Supervised Point Cloud Semantic Segmentation with Primary–Auxiliary Structure

Computers & Electrical Engineering, 2024
Weakly Supervised Point Cloud Semantic Segmentation Based on Scene Consistency

Applied Intelligence, 2024
Neighborhood Spatial Aggregation MC Dropout for Efficient Uncertainty-Aware Semantic Segmentation in Point Clouds

IEEE Transactions on Geoscience and Remote Sensing, 2023
Beyond-Skeleton: Zero-Shot Skeleton Action Recognition Enhanced by Supplementary RGB Visual Information

Expert Systems with Applications, 2025

Paul Yohanna l Civil Engineering | Research Excellence Award

Dr. Paul Yohanna l Civil Engineering | Research Excellence Award

Kampala International University | Uganda

Dr. Paul Yohanna is a civil engineering academic and consultant with strong expertise in geotechnical engineering, construction materials, structural mechanics, and infrastructure sustainability. He holds a Ph.D., M.Sc., and B.Eng. in Civil Engineering and has extensive university-level teaching experience in strength of materials, fluid dynamics, hydrology, and engineering materials. His professional experience spans lecturing, consulting for development projects, and applied research in construction and geotechnics. His research interests include sustainable construction materials, geotechnical characterization, infrastructure resilience, and engineering education, supported by skills in laboratory testing, data analysis, field investigations, and scholarly publishing, with conference participation reflecting continuous professional development and academic leadership.

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Featured Publications

Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

Dr. Sibel Cevik Bektas l Energy Management/Optimization | Research Excellence Award

Karadeniz Technical University | Turkey

Dr. Sibel Cevik Bektas is an electrical and electronics engineering researcher specializing in energy systems and renewable integration. Education includes undergraduate, postgraduate, and doctoral degrees in electrical engineering from Karadeniz Technical University. Professional experience centers on academic research, peer-reviewed publications, conference contributions, and leadership of a TUBITAK-funded project. Research interests cover optimal energy management, power systems, load forecasting, solar irradiance prediction, and data-driven optimization. Research skills include machine learning, deep learning, time-series forecasting, optimization, MATLAB modeling, and power system analysis. Awards and honors include competitive national research funding. Overall, Dr. Sibel Cevik Bektas contributes impactful, applied solutions advancing energy systems.

Citation Metrics (Scopus)

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13

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Featured Publications

Scenario-Based Data-Driven Approaches for Short-Term Load Forecasting
Energy and Buildings, 2026

Gulshan Sharma l Machine Learning and AI Applications | Research Excellence Award

Prof. Gulshan Sharma l Machine Learning and AI Applications | Research Excellence Award

University of Johannesburg | South Africa

Prof. Gulshan Sharma is an experienced academic at the University of Johannesburg with extensive expertise in electrical engineering and power systems. She has attended multiple faculty development programs on PLC, SCADA, industrial automation, smart grids, and modern power system operations. Her research interests include renewable energy technologies, advanced power system control, machine learning applications in power systems, and automation. She has guided projects and internships on SCADA systems and industrial drives. Prof. Sharma is proficient in both undergraduate and postgraduate subjects, ranging from electrical machines and control systems to robotics and non-conventional energy sources. Her work contributes to advancing modern power engineering education and research.

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Featured Publications

Huan Liu | Earth Space Exploration | Research Excellence Award

Prof. Huan Liu | Earth Space Exploration | Research Excellence Award

China University of Geosciences | China

Huan Liu is a Professor in automation and instrumentation with a strong academic foundation in electronic engineering and sensing technologies. He earned his PhD with research focused on high-precision magnetometers and completed joint doctoral training internationally. His professional experience spans academic research, teaching, and leadership in control technology and intelligent sensing. His research interests include magnetic field measurement, sensor arrays, instrumentation, multi-information fusion, and intelligent detection systems for environmental and security applications. He has received numerous national and international awards for research excellence, editorial service, and innovation. His work significantly advances precision sensing technologies and interdisciplinary engineering research.

View Orcid Profile

Featured Publications


A Multi-Parameter Integrated Magnetometer Based on Combination of Scalar and Vector Fields

– IEEE Transactions on Industrial Electronics, 2022

A New Digital Single-Axis Fluxgate Magnetometer According to the Cobalt-Based Amorphous Effects

– Review of Scientific Instruments, 2022

An Overview of Sensing Platform-Technological Aspects for Vector Magnetic Measurement: A Case Study of the Application in Different Scenarios

– Measurement, 2022

Anomaly Detection of Complex Magnetic Measurements Using Structured Hankel Low-Rank Modeling and Singular Value Decomposition

– Review of Scientific Instruments, 2022

Multi-Sensor Measurement and Data Fusion

– IEEE Instrumentation & Measurement Magazine, 2022

Parthiban V | IoT (Internet of Things) Analytics | Research Excellence Award

Mr. Parthiban V | IoT (Internet of Things) Analytics | Research Excellence Award

Sri Muthukumaran Institute Of Technology | India

Mr. Parthiban V is a seasoned academician with over two decades of teaching experience in the field of Electronics and Communication Engineering. He is currently serving as an Assistant Professor at Sri Muthukumaran Institute of Technology, Chennai. He holds a Ph.D. (pursuing) in VLSI Design from Anna University, Chennai, along with M.E. in Applied Electronics, AMIE in Electronics and Communication Engineering, a Post Diploma in Machine Maintenance from CIPET, and a Diploma in Electronics and Communication Engineering. His academic career spans roles as Instructor, Lecturer, Assistant Professor, and Associate Professor, reflecting progressive professional growth and strong leadership capabilities. He has handled a wide range of subjects including VLSI Design, Wireless Communication, Optical Communication, Microprocessors, Antenna and Wave Propagation, and Computer Networks. His research interests focus on IoT applications, VLSI, wireless communication systems, and embedded technologies. He has published several papers in reputed national and international journals and conferences. His contributions have been recognized through student project funding from the Tamil Nadu State Council for Science and Technology and the Best Nodal Officer Award from the Election Commission of India. With active involvement in academic administration, accreditation processes, and faculty development, he continues to contribute effectively to teaching, research, and institutional development.

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Featured Publications


IOT Based Security System for Bank Vaults


– International Journal for Science and Research in Technology, Vol. 9, Issue 5, May 2023

IOT Based Smart Garbage Monitoring and Classification System


– International Journal for Science and Research in Technology, Vol. 8, Issue 6, June 2022

Design and Implementation of Unmanned Agronomy Seed Sowing Machine Using Solar Panel


– International Journal for Science and Research in Technology, Vol. 8, Issue 3, March 2022

A Personal Emergency Disaster Communication Service for Smart Phones using RF Transmitter


– International Journal of Research in Engineering, Science and Management, Vol. 2, Issue 3, March 2019

Farouk Rizk | Electromagnetic Theory | Best Researcher Award

Dr. Farouk Rizk | Electromagnetic Theory | Best Researcher Award

Lightning Electrotechnologies Inc | Canada

Dr. Farouk A. M. Rizk is a leading figure in high-voltage and lightning engineering, holding B.Sc. and M.Sc. degrees from Cairo University and a Ph.D. from the Royal Institute of Technology in Stockholm, followed by a Doctor of Technology from Chalmers University of Technology. His career includes senior research and leadership roles at the Hydro-Québec Research Institute, adjunct and invited professorships, and his current work as president of engineering and lightning-technology firms in Montreal. He has authored influential research on arc dynamics, polluted insulators, long-air-gap breakdown, lightning attachment, and ultra-corona applications, earning an h-index of 27, 95 documents, and 2,657 citations by 1,801 documents. His contributions include pioneering models of insulator flashover, desert pollution performance, rain-impact behavior, and switching-impulse breakdown. Recognized as an IEEE Fellow, he has received multiple IEEE prize paper awards, the Herman Halperin Award, the CIGRE Technical Committee Award, and the 2021 ICLP Lifetime Achievement Award. He has chaired major international high-voltage forums and consulted globally on lightning protection and power transmission. His work has significantly shaped modern insulation coordination and lightning engineering, establishing him as one of the field’s most influential contributors.

Profile : Scopus

Featured Publications

(2022). “Novel Solution to Back Flashovers on High Voltage Transmission Lines: The Embedded Ground Conductor.” IEEE Transactions on Power Delivery.

(2022). “Negative Impulse Ground Wire Corona Parameters for Backflash Evaluation of High Voltage Transmission Lines.” IEEE Transactions on Power Delivery.

(2020). “New approach for assessment of positive streamer penetration of long air gaps under impulse voltages.” IEEE Transactions on Dielectrics and Electrical Insulation.

(2018). “A simplified approach for assessment of exposure of EHV and UHV lines to direct lightning strikes.” IEEE Transactions on Power Delivery.

(2017). “Modeling of UHV & double-circuit EHV transmission-line exposure to direct lightning strikes.” IEEE Transactions on Power Delivery.

Naima Rahiel | Public Health Analytics | Women Researcher Award

Mrs. Naima Rahiel | Public Health Analytics | Women Researcher Award

QARTZ, Université Paris 8 | France

Naima Rahiel is a doctoral researcher in Industrial Engineering and Productics at the University of Paris 8, specializing in the modeling and optimization of complex systems, with a particular focus on hospital logistics and supply chain resilience. She holds a Master’s and a Bachelor’s degree in Industrial Engineering from the University of Oran 2, Algeria, where she built strong foundations in probabilistic analysis, production systems, and decision-making under uncertainty. Her professional experience includes academic teaching at IUT de Montreuil and practical research in industrial and healthcare environments, such as Tosyali Algeria and the Canastel Pediatric Hospital in Oran. Her research explores the resilience of healthcare supply chains through analytical and simulation-based approaches, leading to several international conference presentations and peer-reviewed publications, including contributions to Springer’s book series and the journal Environmental Systems and Decision. Passionate about innovation, data analysis, and system reliability, she aims to bridge theoretical modeling with real-world decision support tools for sustainable and adaptive supply chain management. Her academic achievements and active participation in scientific events demonstrate her commitment to advancing research on healthcare logistics and resilience engineering, contributing valuable insights to the industrial and operational research community.

Profile : Google Scholar

Featured Publication

Rahiel, N., El Mhamedi, A., & Hachemi, K. (2024). Healthcare Supply Chain: Resilience Qualitative Evaluation. In Hospital Supply Chain: Challenges and Opportunities for Improving Healthcare.

Rahiel, N., El Mhamedi, A., Hachemi, K., Aouffen, N., & Rahiel, I. (2025). Resilience of the hospital supply chain: a case study-based approach on safety stock. Environment Systems and Decisions, 45 (4), 56.

Rahiel, N., Addouche, S.A., El Mhamedi, A., & Hachemi, K. (2025). Function-Based Modeling for Reactive Optimization of Healthcare Resource Reallocation. In Proceedings of the 16th International Conference on Logistics and Supply Chain Management (LOGISTIQUA 2025).

Ekaterina Balakina | Vehicle Movement Control | Best Researcher Award

Prof. Dr. Ekaterina Balakina | Vehicle Movement Control | Best Researcher Award

Volgograd State Technical University | Russia

Prof. Dr. Ekaterina Viktorovna Balakina is a distinguished scholar in the field of mechanical and automotive engineering, holding a Doctor of Technical Sciences degree. She graduated with honors from Volgograd Polytechnic Institute in 1993 in Mechanical Engineering and subsequently worked as a design engineer at the Titan Central Design Bureau of the Barrikady Defense Plant. In 1996, she defended her PhD thesis in “Wheeled and Tracked Vehicles” and joined Volgograd State Technical University in 1997, later completing a research internship at the Warsaw Military Technical Academy in 2004. In 2011, she defended her doctoral dissertation in the same specialty. Prof. Balakina’s research focuses on vehicle stability, elastic properties of tires, and the contact interaction of elastic wheels with solid supports. She is co-author of two national regulatory documents on vehicle handling and dynamic stabilization, and she has authored approximately 300 publications, including five monographs, 14 patents, and four software certificates. Her work has garnered 104 citations from 48 documents, with an h-index of 6. She has received multiple awards, including the Honorary Diploma of the Ministry of Education and Science. As a full member of the Russian Academy of Transport since 2014, she continues to lead research projects and teach courses on vehicle maintenance, design, and operation.

Profiles : Scopus | Orcid

Featured Publications

Balakina, E.V., Sergienko, I.V., & Konshin, V.A. (2025). Calculation of normal tire stiffness for tractors and agricultural machinery based on the loaded wheel radius. Tractors and Agricultural Machinery, Journal Article.

Balakina, E.V., Godzhaev, Z.A., Konshin, A.A., & Kochetov, M.S. (2023). Calculation of normal stiffness and contact patch of ultra-low pressure tires for agricultural machinery. Tractors and Agricultural Machinery, Journal Article.

Balakina, E.V., Lipatov, E.Y., & Sarbayev, D.S. (2020). Advantages of Using Wheel Rolling Radius for Calculating Friction Characteristics in Wheel-to-Road Contact Patch. In Lecture Notes in Mechanical Engineering, Book.

Golubeva, T.A., & Balakina, E.V. (2020). Finding New Component in Displacement of Normal Supporting Surface Reaction to Car Wheels. In Lecture Notes in Mechanical Engineering, Book.

Balakina, E.V. (2019). Calculation of the Friction Coefficient between a Steady Elastic Wheel and a Solid Support Surface in the Presence of a Lateral Force. Journal of Friction and Wear, Journal Article.

Decheng Li | Engineering | Best Researcher Award

Mr. Decheng Li | Engineering | Best Researcher Award

Lanzhou University of Technology | China

Dr. Decheng Li is a dedicated scholar and researcher at the School of Automation and Electrical Engineering, Lanzhou University of Technology, China. He obtained his academic training in electrical engineering and automation, focusing on intelligent control systems, robotics, and power electronics. With extensive teaching and research experience, Dr. Li has contributed significantly to the advancement of automation technologies and intelligent systems applications in industrial environments. His research interests encompass intelligent control theory, optimization algorithms, renewable energy integration, and advanced signal processing techniques for control systems. Dr. Li has authored and co-authored numerous papers in leading international journals and conferences, reflecting his commitment to academic excellence and technological innovation. He has been involved in several national and provincial research projects, fostering collaboration between academia and industry. In recognition of his contributions, Dr. Li has received multiple academic awards and honors for his outstanding research and teaching performance. He continues to mentor graduate students and promote interdisciplinary research to solve real-world engineering challenges. Dr. Li remains committed to advancing automation and intelligent systems for sustainable industrial development and the future of smart technologies.

Profile: Orcid

Featured Publication

Liu, J., Li, D., & Chen, H. (2025). “Robust hybrid decentralized controller design for Voice Coil Actuator-Fast Steering Mirror system in high-precision optical measurements.