Mingxu Wang | Wireless Communication | Young Scientist Award

Published on by Electrical Engineering

Dr. Mingxu Wang | Wireless Communication | Young Scientist Award

Research Associate | Fudan University | China

Mingxu Wang is a Research Associate at Fudan University specializing in photonic terahertz and free-space optical communications within advanced radio access networks. He holds advanced academic training in electronic and optical engineering with a strong focus on high-capacity fiber–wireless integrated systems, developed through rigorous graduate-level education and collaborative research at leading international institutions. His scholarly output has achieved 687 citations with an h-index of 15 and an i10-index of 22, reflecting sustained impact in the field. He holds multiple patents related to advanced modulation and fiber–wireless integration techniques and actively contributes to the research community through professional memberships with IEEE, Optica, and SPIE. His excellence has been recognized through highly competitive international scholarships and distinctions, underscoring his leadership, innovation, and growing influence in electrical and photonic communications research.

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Featured Publications

Low complexity neural network equalization based on multi-symbol output technique for 200+ Gbps IM/DD short reach optical system
B. Sang, W. Zhou, Y. Tan, M. Kong, C. Wang, M. Wang, L. Zhao, J. Zhang, J. Yu – Journal of Lightwave Technology · Citations: 78
Integrated high-resolution radar and long-distance communication based-on photonic in terahertz band
Y. Wang, W. Li, J. Ding, J. Zhang, M. Zhu, F. Zhao, M. Wang, J. Yu – Journal of Lightwave Technology · Citations: 64
Joint communication and radar sensing functions system based on photonics at the W-band
Y. Wang, J. Liu, J. Ding, M. Wang, F. Zhao, J. Yu – Optics Express · Citations: 56
W-band simultaneous vector signal generation and radar detection based on photonic frequency quadrupling
Y. Wang, J. Ding, M. Wang, Z. Dong, F. Zhao, J. Yu – Optics Letters · Citations: 46
Photonics-assisted joint high-speed communication and high-resolution radar detection system
Y. Wang, Z. Dong, J. Ding, W. Li, M. Wang, F. Zhao, J. Yu – Optics Letters · Citations: 45

Mr. Nicholas Otumi | Biomedical Instrumentation | Research Excellence Award

Published on by Electrical Engineering

Mr. Nicholas Otumi | Biomedical Instrumentation | Research Excellence Award

Research Assistant | University of Rochester | United States

Nicholas Otumi is a biomedical imaging researcher and diagnostic imaging specialist affiliated with the University of Rochester, with expertise spanning diagnostic imaging, biomedical engineering, and artificial intelligence–driven medical image analysis. He holds a Master of Science in Diagnostic Imaging with specialization in bioengineering and biomedical engineering, and a Bachelor of Science in Diagnostic Imaging Technology, supported by advanced training in deep learning, signal processing, inverse problems, and clinical imaging. His professional experience includes research assistant roles across academic and clinical settings, where he has contributed to imaging model development, clinical data management, AI-based brain and chest image segmentation, and interdisciplinary healthcare research, alongside leadership and community engagement roles within university environments. His research focuses on medical image quality, user-centered imaging system evaluation, deep learning for disease classification, and the application of advanced MRI and CT techniques in both high- and low-resource settings, with multiple peer-reviewed journal publications and ongoing studies under review. He has received competitive research funding and fellowship recognition, institutional awards for leadership and versatility, and has participated in international scientific schools and specialized workshops in radiochemistry, medical physics, AI diagnostics, and imaging quality assurance. His academic service includes research collaboration, technical support, and scholarly dissemination, reflecting a strong commitment to advancing diagnostic imaging research and education.

Profiles:  Google Scholar | ORCID

Featured Publications

AD Piersson, G Nunoo, E Tettey, N Otumi, User-centered assessment of MRI equipment flexibility, workspace adequacy, user interface usability, and technical proficiency. Appl. Clin. Inform., 2025, 16(5), 1595–1605.

AD Piersson, G Nunoo, K Dzefi-Tettey, N Otumi, Utility of advanced brain MRI techniques for clinical and research purposes in a low-resource setting: A multicentre survey. Next Res., 2025, 100638.

A Piersson, E Frost, K Dzefi-Tettey, N Otumi, H Mumuni, S Kafwimbi, et al., Public attitudes and preferences towards artificial intelligence in diagnostic imaging for clinical diagnosis in a low-resource setting (n = 1,032). Eur. Soc. Radiol. (ECR), 2025.

E Fiagbedzi, J Arkorful, IF Brobbey, E Appiah, S Nyarko, N Otumi, et al., A case of ruptured infrapatellar bursa sac with Baker’s cyst. Radiol. Case Rep., 2025, 20(1), 700–704.

E Fiagbedzi, J Arkorful, E Appiah, N Otumi, I Ofori, PN Gorleku, A rare case of intussusception in a 6-month-old baby. Radiol. Case Rep., 2025, 19(10), 4451–4456.

Zhongjun Ma | Nanoelectronics | Research Excellence Award

Published on by Electrical Engineering

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

Published on by Electrical Engineering

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

Aseel Basheer | Machine Learning | Excellence in Research Award

Published on by Electrical Engineering

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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Assoc. Prof. Dr. Guanlong Jia | Electric Engineering | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Guanlong Jia | Electric Engineering | Research Excellence Award

Associate Professor | Hebei University of Technology | China

Guanlong Jia, Lecturer at Hebei University of Technology and a Member of IEEE, is a researcher specializing in high-power electronics with expertise in circuit breakers, multilevel converters, control algorithms, and pulse-width modulation techniques. He holds a Ph.D. in electrical engineering from Zhejiang University, where he focused on advanced power electronic systems and their reliability. In his professional capacity, he contributes to teaching and research in power conversion technologies, participating in institutional and collaborative projects that enhance innovation in electrical engineering. His research centers on the design, analysis, and optimization of high-power electronic devices, and his contributions are reflected in his scholarly publications and technical advancements in power electronics. He is recognized for his academic engagement and his role in supporting the wider research community through professional membership and ongoing contributions to the field. At the end of his academic profile: 295 citations, 42 documents, and an h-index of 7.

Profile: Scopus

Featured Publications

Jia, Guanlong*, Transient stability enhancement method for virtual synchronous generators using power-angle deviation with a modified reactive-power control loop. Electronics (Switzerland), Accepted.

Jia, Guanlong*, Multi-objective optimization design of fast vacuum switch operating mechanisms for hydrogen-storage power systems. AIP Advances, Accepted.

Jia, Guanlong, Dynamics simulation and fault-characteristic analysis of permanent-magnet repulsion mechanisms for vacuum circuit breakers integrating advanced high-power switching technologies. AIP Advances, Accepted.