Chuntana Reangsing | Nursing science | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Chuntana Reangsing | Nursing science | Research Excellence Award

School of Nursing | Mae Fah Luang University | Thailand

Assoc. Prof. Dr. Chuntana Reangsing is an Associate Professor at the School of Nursing, Mae Fah Luang University, Thailand, with expertise in psychiatric nursing and mental health. She holds a Bachelor of Nursing Science, a Master of Science in Mental Health, a specialty certificate in psychiatric nursing, and a PhD in Nursing. Her professional experience includes clinical practice as a registered nurse, academic teaching, graduate research assistance, and leadership as a principal investigator on nationally funded research projects. Her research focuses on mindfulness-based interventions, depression, substance use disorders, and systematic review and meta-analysis, with extensive publications in high-impact international journals that advance evidence-based mental health care. She has received competitive research funding, serves as an academic reviewer, and holds relevant professional memberships and certifications. Her scholarly impact is reflected by 33 Scopus-indexed documents, 387 citations across 374 citing documents, and an h-index of 10.

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Featured Publications

Effects of mindfulness meditation interventions on depression in older adults: A meta-analysis
C. Reangsing, T. Rittiwong, J.K. Schneider
Aging & Mental Health · Highly Cited (170 citations)

Effects of mindfulness interventions on depressive symptoms in adolescents: A meta-analysis
C. Reangsing, S. Punsuwun, J.K. Schneider
International Journal of Nursing Studies · Highly Cited (122 citations)

A methodological review of qualitative longitudinal research in nursing
L. SmithBattle, R. Lorenz, C. Reangsing, J.L. Palmer, G. Pitroff
Nursing Inquiry · High-Impact Methodological Review (58 citations)

Effects of mindfulness meditation intervention on depressive symptoms in emerging adults: A systematic review and meta-analysis
C. Reangsing, C. Lauderman, J.K. Schneider
Journal of Integrative and Complementary Medicine · Influential Review (50 citations)

Effects of online mindfulness-based interventions on depressive symptoms in college and university students: A systematic review and meta-analysis
C. Reangsing, S.G. Abdullahi, J.K. Schneider
Journal of Integrative and Complementary Medicine · Emerging Impact (39 citations)

Ning Zhang | Signal & Image Processing | Research Excellence Award

Published on by Electrical Engineering

Dr. Ning Zhang | Signal & Image Processing | Research Excellence Award

Postdoctor | Beijing institute of technology | China

Ning Zhang is a researcher in deep learning and remote sensing at the Beijing Institute of Technology, with expertise in computer vision, real-time processing, and onboard intelligent systems. He holds bachelor’s, master’s, and doctoral degrees in electronic information and information and communication engineering, with specialized training in lightweight neural networks and FPGA-based algorithm–hardware co-design. His professional experience includes leading and contributing to nationally funded and institutional projects focused on airborne and satellite AI deployment, where he has played key roles in algorithm development, system architecture design, and technical leadership. His research centers on remote sensing scene classification, object detection, model compression, and energy-efficient neural network accelerators, resulting in high-impact publications in leading IEEE journals, multiple authorized and accepted patents, and a citation record of 337 citations with an h-index of 9 and an i10-index of 8. He has received numerous prestigious scholarships, graduate honors, national-level competition awards, and maintains active engagement in academic and professional communities.

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Featured Publications


UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes
S. Ni, D. Wang, H. Chen, H. Guo, N. Zhang, J. Zhang
arXiv Preprint · Open-World Geospatial Segmentation


S2Net: Spatial-aligned and Semantic-discriminative Network for Remote Sensing Object Detection
J. Yao, H. Chen, Y. Xie, N. Zhang, M. Yang, L. Chen
IEEE Transactions on Geoscience and Remote Sensing · Top-Tier Journal


High-throughput Energy-efficient Accelerator with Collaborative-Trainable Sparse-Quantization Method for On-Board Remote Sensing Processing
T. Wang, H. Chen, N. Zhang, S. Ni, X. Zhang, L. Chen, W. Li
IEEE Transactions on Geoscience and Remote Sensing · Energy-Efficient AI Hardware


High-Throughput and Energy-Efficient FPGA-Based Accelerator for All Adder Neural Networks
N. Zhang, S. Ni, L. Chen, T. Wang, H. Chen
IEEE Internet of Things Journal · FPGA Acceleration


Q-A2NN: Quantized All-Adder Neural Networks for Onboard Remote Sensing Scene Classification
N. Zhang, H. Chen, L. Chen, J. Wang, G. Wang, W. Liu
Remote Sensing · Lightweight Neural Networks

Dr. Xinyu An | Autonomous Systems | Research Excellence Award

Published on by Electrical Engineering

Dr. Xinyu An | Autonomous Systems | Research Excellence Award

Associate Researcher | Zhejiang University | China

Dr. Xinyu An is an Associate Researcher at the Ocean College, Zhejiang University, specializing in underwater robotics, autonomous underwater vehicles, and intelligent control systems. He holds engineering degrees through the doctoral level with specialization in mechanical and marine engineering, supported by rigorous training in robotics design and optimization. His professional experience includes leading and contributing to advanced research projects on seabed-operating autonomous systems, digital twin platforms, and multi-sensor control architectures, while actively participating in team leadership and collaborative innovation. His research focuses on underwater vehicle design, control system development, computational fluid dynamics, digital twins, and artificial intelligence, with peer-reviewed publications contributing to both theoretical and applied advancements in marine robotics. His scholarly impact includes 69 citations across 10 indexed documents with an h-index of 5, complemented by competitive research grants, active professional memberships, and recognized service to the academic community through research collaboration and scholarly dissemination.

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Featured Publications

Parametric Design and Optimization of the Profile of an Autonomous Underwater Helicopter Based on NURBS
X. An, Y. Chen, H. Huang
Journal of Marine Science and Engineering · Feature Paper

Abdoulaye Ndao | Optics and Photonics | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Abdoulaye Ndao | Optics and Photonics | Research Excellence Award

Associate Professor | University of California San Diego | United States

Abdoulaye Ndao is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California San Diego, where he leads the Nano Devices and Applied Optics Laboratory and specializes in nanophotonics, metasurfaces, and applied optics. He earned a PhD in Physics with distinction following advanced training in lasers and materials science. His professional experience spans academic leadership, postdoctoral research at leading institutions, and prior engineering roles, with sustained contributions to teaching, mentoring, and conference service. His research focuses on topological photonics, plasmonics, meta-optics, and bioimaging technologies, resulting in influential publications in premier journals, patented innovations, and significant translational impact. His scholarly impact is reflected in approximately 2,900 citations, an h-index of 24, and an i10-index of 32.

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Featured Publications

Nonreciprocal lasing in topological cavities of arbitrary geometries
B. Bahari, A. Ndao, F. Vallini, A. El Amili, Y. Fainman, B. Kanté – Science (900 citations)

Symmetry-breaking-induced plasmonic exceptional points and nanoscale sensing
J.-H. Park*, A. Ndao*, W. Cai, L. Hsu, A. Kodigala, T. Lepetit, Y.-H. Lo, B. Kanté – Nature Physics (359 citations)

Octave bandwidth photonic fishnet achromatic metalens
A. Ndao, L. Hsu, J. Ha, J.-H. Park, C. Chang-Hasnain, B. Kanté – Nature Communications (208 citations)

Transmission properties of slanted annular aperture arrays
T. Alaridhee, A. Ndao, M.-P. Bernal, E. Popov, A.-L. Fehrembach, F.-I. Baida – Optics Express (158 citations)

Photonic quantum Hall effect and multiplexed light sources of large orbital angular momenta
B. Bahari, L. Hsu, S.-H. Pan, D. Preece, A. Ndao, A. El Amili, Y. Fainman – Nature Physics (139 citations)

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