Zhongjun Ma | Nanoelectronics | Research Excellence Award

Dr. Zhongjun Ma | Nanoelectronics | Research Excellence Award

Engineer | Henan Normal University | China

Zhongjun Ma is a faculty researcher at the School of Environment, Henan Normal University, Xinxiang, China, specializing in microwave absorption and related electromagnetic functional materials. He earned his doctoral degree with a specialization in microwave absorption science, building a strong foundation in material design, absorption mechanisms, and device-oriented applications. Professionally, he has contributed through academic teaching, research project participation, and collaborative research activities, demonstrating leadership in experimental design and scholarly dissemination. His research focuses on microwave absorbing materials, absorption mechanisms, and the development of high-performance microwave absorbing devices, with contributions that advance both theoretical understanding and practical implementation. He has authored 22 scholarly documents that collectively reflect sustained research productivity and impact, achieving 521 citations and an h-index of 12, underscoring the relevance and influence of his work within the field.

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Featured Publications

Toroidal Curved Overlapping Patch Resonant Microwave Sensor for Bolt Loosening Detection
Han, X.-Y.; Zhang, D.; Liu, J.; Liu, X.; Sun, C.; Fu, C.-H.; Ma, Z.-J. – SSRN
ZIF-67-Derived Hierarchical Porous Hollow Shell Engineering for Efficient Microwave Absorption in Ku Band
Han, X.; Sun, C.; Zhang, S.; Liu, K.; Zhai, P.; Liu, X.; Zhang, D.; Liu, J.; Ma, Z. – SSRN
Conversion of Lignin into Porous Carbons for High-Performance Supercapacitors via Spray Drying and KOH Activation
Feng, S.; Ouyang, Q.; Huang, J.; Zhang, X.; Ma, Z.; Liang, K.; Huang, Q. – Journal of Renewable Materials

Rémi Cogranne | Signal & Image Processing | Research Excellence Award

Dr. Rémi Cogranne | Signal & Image Processing | Research Excellence Award

Troyes University of Technology | France

Rémi Cogranne is an Associate Professor at Troyes University of Technology (UTT), France, and a leading researcher in signal processing, applied mathematics, computer science, and information forensics. His research focuses on hypothesis testing theory, statistical modeling of digital images, image forensics, steganography and steganalysis, and computer network traffic modeling for attack detection, resulting in a substantial body of high-impact journal articles, conference papers, patents, and book chapters. His scholarly influence is demonstrated by 4,624 citations, an h-index of 32, and an i10-index of 68. He has made significant contributions to the research community through editorial service as Senior Associate Editor and Associate Editor for leading IEEE and international journals, membership in prestigious IEEE technical committees, and leadership roles in major international conferences. His work has been widely recognized through best paper awards, editorial honors, and sustained contributions to advancing theory and practice in signal processing and information forensics.

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Featured Publications

Content-adaptive steganography by minimizing statistical detectability
V. Sedighi, R. Cogranne, J. Fridrich – IEEE Transactions on Information Forensics and Security · Citations: 663

Selection-Channel-Aware Rich Model for Steganalysis of Digital Images
T. Denemark, V. Sedighi, V. Holub, R. Cogranne, J. Fridrich – IEEE WIFS · Citations: 469

Moving steganography and steganalysis from the laboratory into the real world
A. D. Ker et al., including R. Cogranne – ACM Workshop on Information Hiding and Multimedia Security · Citations: 344

Rich Model for Steganalysis of Color Images
M. Goljan, J. Fridrich, R. Cogranne – IEEE WIFS · Citations: 203

The ALASKA Steganalysis Challenge: A First Step Towards Steganalysis “into the wild”
R. Cogranne, É. Giboulot, P. Bas – ACM Workshop on Information Hiding and Multimedia Security · Citations: 186

Sina Saadati | Signal & Image Processing | Research Excellence Award

Mr. Sina Saadati | Signal & Image Processing | Research Excellence Award

Computer Scientist | Amirkabir University of Technology | Iran

Sina Saadati is an emerging researcher and academic affiliated with a higher education and research institution, with expertise spanning interdisciplinary scientific and engineering research. He holds advanced academic degrees with specialization aligned to his research domain, supported by rigorous scholarly training that underpins his analytical and methodological contributions. His professional experience includes active involvement in research projects, collaborative investigations, and academic responsibilities that demonstrate leadership, independence, and commitment to knowledge advancement. His research focuses on targeted thematic areas within his field, with peer-reviewed scholarly publications contributing to the academic literature and supporting evidence-based innovation. His work has achieved measurable academic impact, reflected in 21 citations, an h-index of 3, and an i10-index of 0, indicating growing recognition within the research community. In addition to his research output, he has engaged with the scholarly ecosystem through professional memberships, academic service, and adherence to recognized research standards, positioning him as a dedicated and promising contributor suitable for award recognition.

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Featured Publications

Revolutionizing Endometriosis Treatment: Automated Surgical Operation through Artificial Intelligence and Robotic Vision

S. Saadati, M. Amirmazlaghani – Journal of Robotic Surgery, Vol. 18(1), p. 383, 2024

A Natural Way of Solving a Convex Hull Problem

S. Saadati, M. Razzazi – Proceedings of the National Academy of Sciences, India Section A, 2025

Cloud and IoT Based Smart Agent-Driven Simulation of Human Gait for Detecting Muscle Disorders

S. Saadati, A. Sepahvand, M. Razzazi – Heliyon, Vol. 11(2), 2025

Nahid: AI-Based Algorithm for Operating Fully-Automatic Surgery

S. Saadati – arXiv Preprint, arXiv:2401.08584

Aseel Basheer | Machine Learning | Excellence in Research Award

Dr. Aseel Basheer | Machine Learning | Excellence in Research Award

Postdoc | University of Oklahoma | United States

Aseel Basheer is a Graduate Research Assistant and Ph.D. candidate in Computer Science at the University of Oklahoma, with expertise in machine learning, data science, and large-scale data analytics. The candidate holds a master’s degree in Computer Science with a specialization in data analytics and is pursuing advanced doctoral research focused on predictive modeling, visual analytics, and AI-driven decision support. Professionally, Aseel has contributed to interdisciplinary research projects in public health intelligence and pandemic surveillance, developing AI/ML models, data-driven forecasting systems, and visualization platforms, while also demonstrating academic leadership through teaching, mentoring, and curriculum support in higher education. The candidate’s professional profile is further strengthened by recognized certifications in data analytics, machine learning, healthcare data science, and research rigor, alongside active engagement in scholarly communities. The scholarly impact is reflected through 22 citations, an h-index of 2, and an i10-index of 1.

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Jingjing Liang | Renewable Energy Systems | Research Excellence Award

Dr. Jingjing Liang | Renewable Energy Systems | Research Excellence Award

Engineer | Tsinghua University | China

Jingjing Liang is an Engineer associated with the Department of Power and Energy Engineering at Tsinghua University, with recognized expertise in electrochemical energy systems and low-carbon energy technologies. She earned her undergraduate and doctoral degrees at Tsinghua University, specializing in solid oxide electrolysis and energy storage, and enhanced her training through international doctoral research at a leading European technical institution. Her professional experience spans academic research and engineering practice, including participation in nationally funded energy research projects, collaboration with international research groups, and an engineering role within a major energy engineering corporation, where she contributes to the application of advanced energy technologies. Her research focuses on solid oxide electrolysis cells, co-electrolysis mechanisms, long-duration energy storage, and zero-carbon emission technologies, integrating experimental investigation with simulation-based analysis, leading to multiple peer-reviewed journal publications and an authorized invention patent. She has also served as a lead contributor to national industrial standards for solid oxide electrolysis cell and stack performance testing and is a professional member of the High-Temperature Fuel Cell Standards Committee of China. Her scholarly impact includes 106 citations, an h-index of 4, and an i10-index of 2.

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Featured Publications

Hengrui Ma | Renewable Energy Systems | Research Excellence Award

Prof. Hengrui Ma | Renewable Energy Systems | Research Excellence Award

Associate Professor | Wuhan University of Technology | China

Prof. Hengrui Ma is an Associate Professor at Wuhan University of Technology and a leading researcher in renewable energy systems, new power systems, and integrated energy systems. He received his Ph.D. from Wuhan University and completed his bachelor’s and master’s degrees in electrical engineering at North China Electric Power University, with a strong specialization in power and energy systems. His professional experience spans academic teaching, advanced research, and technical leadership, including roles as sub-task leader and project leader in major national and industry-funded smart grid and energy system projects. Prof. Ma’s research focuses on renewable energy integration, smart grids, and energy system regulation, resulting in more than 80 peer-reviewed publications, the majority indexed in SCI/EI, high citation impact across major databases, multiple highly cited and influential papers, and substantial contributions to theory and practice in modern power systems.  His scholarly impact is evidenced by 1,561 citations, an h-index of 20, and an i10-index of 34, reflecting the quality, consistency, and international visibility of his research contributions.

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Featured Publications

Bo Wang | Smart Grids and Microgrids | Research Excellence Award

Prof. Bo Wang | Smart Grids and Microgrids | Research Excellence Award

Professor | Wuhan University | China

Prof. Bo Wang is a Professor and doctoral supervisor at the School of Electrical Engineering, Wuhan University, and a recognized authority in smart grids and microgrids, with expertise in the digitalization of power distribution and utilization. He earned advanced degrees in electrical engineering with specialization in power systems, smart grid technologies, and coordinated operation of distribution networks and microgrids. His research focuses on intelligent energy management, load scheduling, renewable energy integration, risk assessment, and data-driven operation of power systems, leading to more than 120 peer-reviewed journal publications, a scholarly monograph, and multiple granted patents, with strong academic impact reflected by over 3,054 citations, an h-index of 29, and an i10-index of 64. His contributions have been recognized through major science and technology awards, a Gold Medal at the International Exhibition of Inventions of Geneva, and selection among China’s most influential academic papers. Prof. Wang is an IET Fellow, IEEE Senior Member, serves on editorial boards of leading power engineering journals, and actively contributes to international professional societies and technical committees.

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Featured Publications

Improving interdependent networks robustness by adding connectivity links

– Physica A: Statistical Mechanics and its Applications, 2016 (121 citations)

Feng Sun | Biomedical Instrumentation | Research Excellence Award

Prof. Feng Sun | Biomedical Instrumentation | Research Excellence Award

Professor | Peking University | China

Dr. Sun Feng, an accomplished academic and researcher in electrical and automation engineering, serves as a senior faculty member at a leading technical institution, where he specializes in intelligent systems and advanced sensing technologies. He holds advanced degrees in electrical engineering with a concentration in control systems, complemented by specialized training in automation, signal processing, and computational modeling. His professional experience spans research leadership, project supervision, and collaborative industry–academia initiatives focused on smart infrastructure, condition monitoring, and predictive diagnostics. Dr. Sun’s research contributions include numerous peer-reviewed publications, applied innovations in system optimization, and advancements in data-driven methodologies for engineering applications, supported by editorial roles, technical committee service, and memberships in professional societies. He has received recognitions for research excellence, innovation, and academic leadership, alongside consultancy engagements and funded project involvement that demonstrate his broader societal and industrial impact. His scholarly profile is further evidenced by 6,622 citations, 262 indexed documents, and an h-index of 36.

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Featured Publications

Semih Beycimen | Robotics & Autonomous Systems | Research Excellence Award

Mr. Semih Beycimen | Robotics & Autonomous Systems | Research Excellence Award

Professor | International Telecommunication Union | Turkey

Semih Beycimen is a university lecturer at Istanbul Technical University with expertise in robotics, autonomous systems, and AI-driven vehicle technologies, supported by a strong academic background that includes a bachelor’s and master’s degree in mechanical engineering from Bursa Uludag University and a PhD in aerospace from Cranfield University, where he specialized in AI-based control, terrain traversability, and advanced sensing. His professional experience spans roles as a mechanical technology engineering expert, research assistant, and research fellow, contributing to projects involving vibration analysis, image processing, robotic system development, predictive maintenance, digital twin modelling, and autonomous navigation for ground and indoor robotic platforms. He has also played key roles in projects integrating radar and LiDAR sensing, developing indoor navigation algorithms, and advancing autonomous vehicle perceptual frameworks, supported by robust programming skills and extensive training in deep learning, ROS, and computational modelling. His professional profile is strengthened by multiple certifications, strong organizational and communication skills, and active engagement in research dissemination. At least line: 40 citations, 5 documents, and an h-index of 2.

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Featured Publications

 

Yaonan Dai | Robotics And Autonomous Systems | Research Excellence Award

Assoc. Prof. Dr. Yaonan Dai | Robotics And Autonomous Systems | Research Excellence Award

Associate Professor | Wuhan Institute of Technology | China

Dr. Dai Yaonan, Lecturer in the School of Mechanical and Electrical Engineering at the Wuhan Institute of Technology, is an expert in special robotics, high-temperature structural integrity, and nondestructive testing. He holds a Doctor of Engineering degree with specialization in intelligent mechanical systems and structural safety. His professional experience includes academic teaching, research guidance, and contributions to engineering projects involving advanced robotic technologies and structural performance evaluation, supported by leadership service within professional technical organizations. His research focuses on the design and optimization of special-purpose robotic systems, high-temperature behavior of critical materials, and innovative nondestructive testing methodologies. He has authored 17 peer-reviewed publications, including SCI-indexed articles, and his research continues to accumulate meaningful citation impact within the engineering and applied sciences community. His scholarly contributions also include three invention patents, a utility model patent, and an academic monograph. In addition to these achievements, he has been involved in academic reviews, professional memberships, and technical activities that reflect his dedication to advancing robotics, structural integrity, and engineering innovation.

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Featured Publications


Meta-learning Enhanced Classification of Complex Defects in Pressure Vessels

– Measurement Science and Technology (citation data not available)


Ir-YOLO: A Rotating Detection Method for High-Precision Sewage Pipeline Inspection

– Preprint (citation data not available)


Numerical Study of Solid–Gas Two-Phase Flow and Erosion Distribution in Glass Fiber-Reinforced Polymer Ball Valves

– Machines (1 citation)


High-Temperature Creep and Corrosion Behavior of 316LN Stainless Steel in Oxygen-Saturated Sodium

– Nuclear Engineering and Design (1 citation)


Property Changes of Chopped Glass Fiber-Reinforced Sheet Molding Compound Composite in Acid–Base Environment

– International Journal of Polymer Science (1 citation)