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)

Hui Zhang | Mechanical and Electronic Engineering | Best Innovator Award

Published on by Electrical Engineering

Dr. Hui Zhang | Mechanical and Electronic Engineering | Best Innovator Award

Lecturer | Nanjing Forestry University | China

Hui Zhang is a Lecturer at Nanjing Forestry University and a researcher specializing in soft robotics, with expertise in flexible materials, biomimetic structures, and intelligent robotic systems. He holds advanced academic degrees with specialization in robotics and interdisciplinary engineering. His professional experience includes serving as principal investigator on nationally funded research projects, leading innovative research initiatives, teaching robotics-related courses, and supervising graduate students while integrating research with education. His research focuses on soft robotic actuation, flexible drive mechanisms, and intelligent sensing, resulting in extensive publications, books, and patented technologies that advance robotic performance and adaptability. His contributions are recognized through competitive research grants, editorial appointments, international conference collaborations, and professional memberships in leading engineering societies. His scholarly impact is reflected by 45 publications, 449 citations, and an h-index of 11.

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Featured Publications

Free fatty acids as a marker for predicting periprocedural myocardial injury after coronary intervention
Yu Wang, Hui-Wen Zhang, Yuan-Lin Guo, Cheng-Gang Zhu, Na-Qiong Wu, Jian-Jun Li
Journal Article · Cardiology · 2019

Clinical evaluation of prostate cancer gene 3 score in diagnosis among Chinese men with prostate cancer and benign prostatic hyperplasia
Jin Huang, Hui-Zhen Zhang, Hai-Bo Wang, Kathleen H. Reilly
Journal Article · Oncology · 2015

Prevalence of Liddle Syndrome Among Young Hypertension Patients of Undetermined Cause in a Chinese Population
Lin-Ping Wang, Kun-Qi Yang, Xiong-Jing Jiang, Hai-Ying Wu, Hui-Min Zhang, Yu-Bao Zou, Lei Song, Jin Bian, Ru-Tai Hui, Ya-Xin Liu, Xian-Liang Zhou
Journal Article · Cardiology / Genetics · 2015

Transforming growth factor-β1 induces epithelial-to-mesenchymal transition in human lung cancer cells via PI3K/Akt and MEK/Erk1/2 signaling pathways
Xiao-Feng Chen, Hui-Jun Zhang, Hai-Bing Wang, Jun Zhu, Wen-Yong Zhou, Hui Zhang, Ming-Chuan Zhao, Jin-Mei Su, Wen Gao, Lei Zhang, Ke Fei, Hong-Tao Zhang, He-Yong Wang
Molecular Biology Reports · Oncology / Molecular Biology · 2012

Chaochao Shen | Fiber Optics | Research Excellence Award

Published on by Electrical Engineering

Dr. Chaochao Shen | Fiber Optics |Research Excellence Award

Student | Shanghai Institute of Optics | China

Chaochao Shen is a researcher at the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, with expertise in optical and electrical engineering–related interdisciplinary research. He holds advanced academic training in engineering and applied physical sciences, with specialization aligned to optics, photonic systems, and related technologies. His professional experience includes active involvement in collaborative research projects, multidisciplinary teamwork, and scholarly contributions within a leading national research institute. His research focuses on advanced optical and optoelectronic systems, with peer-reviewed publications indexed in Scopus and demonstrated citation impact, reflecting the relevance of his work to the scientific community. He has collaborated with an international network of researchers and maintains an active Scopus author profile. His scholarly metrics include four Scopus-indexed documents, one citation, and an h-index of one.

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Featured Publications

Surface-mode induced high birefringence in a low-loss 7-cell photonic bandgap hollow-core fiber
C Shen, D Wu, X Zhu, S Chen, F Yu
Optical Fiber Technology, 95, 104416

Demonstration of tuning thermal coefficient of delay of photonic bandgap hollow-core fiber by surface mode
C Shen, D Wu, X Zhu, S Chen, B Lu, H Li, F Yu, X Chen, J Knight
Optical Fiber Technology, 95, 104429

High numerical-aperture solarization-resistant silica-glass air-cladding fiber bundle for the ultraviolet imaging
B Xu, C Shen, H Shen, Y Zang, Y Wang, Y Liu, X Lin, F Yu
IEEE Photonics Journal

Tuning of birefringence and thermal coefficient of delay of photonic bandgap hollow-core fiber by surface modes
C Shen, F Yu, J Knight
24th International Conference on Transparent Optical Networks (ICTON), 1-1, 2024

Mrs. Xiaoxin Hua | Control Systems | Research Excellence Award

Published on by Electrical Engineering

Mrs. Xiaoxin Hua | Control Systems | Research Excellence Award

Keysight | R&D Metrology | China

Xiaoxin Hua is an Engineer at Keysight Technologies, specializing in electrical engineering with a focus on electronic measurement and instrumentation. He holds a master’s degree in measuring and testing technologies and instruments from the National Institute of Metrology, where he developed strong expertise in precision metrology. Professionally, he has contributed to national-level measurement standards, playing a key role in research, establishment, and application of DC high-current measurement systems, and currently provides comprehensive metrology support for industrial product development and calibration laboratories. His research centers on electromagnetic measurement, high-voltage and high-current calibration, uncertainty analysis, and power supply measurement, with publications in leading journals such as IEEE Transactions on Instrumentation and Measurement, Acta Metrologica Sinica, and Electric Power Systems Research, along with multiple patented innovations in self-calibration and power quality methods. His achievements include national recognition for scientific and technological contributions and active engagement in applied research excellence.

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Featured Publications

Measurement uncertainty analysis of periodic and random distortion in a high-voltage power supply
Xiaoxin Hua, Radoslaw Krolak
Electric Power Systems Research · Journal Article

Measurement and uncertainty analysis of a DC power supply
Xiaoxin Hua, Radoslaw Krolak
Preprint · Measurement Science

Mr. Niranjan | Embedded Systems | Research Excellence Award

Published on by Electrical Engineering

Mr. Niranjan | Embedded Systems | Research Excellence Award

Assistant Professor | Amrita Vishwa Vidyapeetham | India

Niranjan D. K is an Assistant Professor and Researcher at Amrita Vishwa Vidyapeetham, Bengaluru, specializing in Internet of Things security, embedded systems, and Internet of Vehicles. He holds a bachelor’s degree in Electronics and Communication Engineering, a master’s degree in Embedded Systems, and is pursuing doctoral research focused on secure IoV architectures. His professional experience includes teaching embedded systems, IoT, and computer security, leading interdisciplinary academic initiatives, and serving as an international researcher under a competitive fellowship, contributing to LoRa-based vehicular security and hardware-level protection frameworks. His research interests encompass IoT-enabled vehicular communication, embedded hardware security, and cyber-physical systems, with scholarly output comprising 13 Scopus-indexed documents, over 53 citations, and an h-index of 4, alongside multiple IEEE and Springer publications and published Indian patents. His recognitions include patent awards, international research fellowships, professional certifications, and active membership in the global research community.

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Featured Publications

Real-Time Analysis of Air Pollution Prediction Using IoT
D. K. Niranjan, N. Rakesh
Second International Conference on Inventive Research in Computing Applications

Early Detection of Building Collapse Using IoT
D. K. Niranjan, N. Rakesh
Second International Conference on Inventive Research in Computing Applications

Smart Surveillance System by Face Recognition and Tracking Using Machine Learning Techniques
D. K. Niranjan, N. Rakesh
ICCVBIC – Computational Vision and Bio-Inspired Computing

Advanced Smart Filtration Techniques for Real-Time Air Quality Monitoring with Machine Learning Alerts
S. S. Kamble, M. Y. Priya, S. Sridhar, S. P. Shendre, D. K. Niranjan
International Conference on Computing, Communication and Networking Technologies

IoT-Based Health Monitoring System for Forbidden Patients
S. Thangam, D. K. Niranjan
International Conference on Advanced Computing and Communication Systems

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