Dr. Saurav Keshari Aryal | Speech Recognition | Research Excellence Award Published on 30/01/202630/01/2026 by Electrical Engineering After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 1813 Register Here
Chuntana Reangsing | Nursing science | Research Excellence Award Published on 27/01/202627/01/2026 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. Citation Metrics (Scopus) 387 35 30 25 20 15 10 0 Citations 387 Documents 33 h-index 10 Citations Documents h-index View Scopus Profile View Google Scholar View ORCID Profile View ResearchGate 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)
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. Citation Metrics (Scopus) 387 35 30 25 20 15 10 0 Citations 387 Documents 33 h-index 10 Citations Documents h-index View Scopus Profile View Google Scholar View ORCID Profile View ResearchGate 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 27/01/202627/01/2026 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. Citation Metrics (Scopus) 449 60 45 30 15 0 Citations 449 Documents 45 h-index 11 Citations Documents h-index View Scopus Profile View ORCID Profile 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 Serum uric acid is associated with incidence of heart failure with preserved ejection fraction and cardiovascular events in patients with arterial hypertension Jun Gu, Yu-Qi Fan, Hui-Li Zhang, Jun-Feng Zhang, Chang-Qian Wang Journal Article · Cardiology · 2018 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
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. Citation Metrics (Scopus) 449 60 45 30 15 0 Citations 449 Documents 45 h-index 11 Citations Documents h-index View Scopus Profile View ORCID Profile 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 Serum uric acid is associated with incidence of heart failure with preserved ejection fraction and cardiovascular events in patients with arterial hypertension Jun Gu, Yu-Qi Fan, Hui-Li Zhang, Jun-Feng Zhang, Chang-Qian Wang Journal Article · Cardiology · 2018 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 27/01/202627/01/2026 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. Citation Metrics (Scopus) 4 3 2 1 0 Citations 1 Documents 4 h-index 1 Citations Documents h-index View Scopus Profile View Google Scholar 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
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. Citation Metrics (Scopus) 4 3 2 1 0 Citations 1 Documents 4 h-index 1 Citations Documents h-index View Scopus Profile View Google Scholar 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 24/01/202624/01/2026 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. View Scopus Profile View ResearchGate View ORCID Profile 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
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. View Scopus Profile View ResearchGate View ORCID Profile 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 24/01/202624/01/2026 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. Citation Metrics (Scopus) 53 35 30 25 20 15 10 0 Citations 53 Documents 15 h-index 4 Citations Documents h-index View Scopus Profile View Google Scholar View ResearchGate View ORCID Profile 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
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. Citation Metrics (Scopus) 53 35 30 25 20 15 10 0 Citations 53 Documents 15 h-index 4 Citations Documents h-index View Scopus Profile View Google Scholar View ResearchGate View ORCID Profile 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 21/01/202621/01/2026 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. Citation Metrics (Google Scholar) 337 35 30 25 20 15 10 0 Citations 337 i10-index 8 h-index 9 Citations i10-index h-index View ORCID Profile View Google Scholar 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
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. Citation Metrics (Google Scholar) 337 35 30 25 20 15 10 0 Citations 337 i10-index 8 h-index 9 Citations i10-index h-index View ORCID Profile View Google Scholar 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
Amira Haddouk | Instrumentation and sensors | Research Excellence Award Published on 21/01/202621/01/2026 by Electrical Engineering Assoc. Prof. Dr. Amira Haddouk | Instrumentation and sensors | Research Excellence Award Lecturer | Tunis University | Tunisia Dr. Amira Haddouk is a Maître de Conférence habilitée in Electrical Engineering at the École Nationale Supérieure d’Ingénieurs de Tunis, University of Tunis, specializing in electronics and electrical systems. She holds advanced degrees in electronic instrumentation, electrotechnics and industrial systems, measurement and instrumentation, and electrical systems. Her academic impact is demonstrated by 14 indexed publications, 36 citations, and an h-index of 4, complemented by reviewer and editorial roles, professional memberships, certifications, and recognized contributions to electrical engineering research and education. Citation Metrics (Scopus) 36 30 25 20 15 10 0 Citations 36 Documents 14 h-index 4 Citations Documents h-index View Scopus Profile View ResearchGate View ORCID Profile Featured Publications Design and Implementation of a Resonant Inductive Wireless Power Transfer System Powered by a Class D Amplifier for Smart Sensors in Inaccessible Environments Anouar Chebbi, Amira Haddouk, Vitor Monteiro, Mechergui Hfaiedh Journal Article · Wireless Power Transfer · Smart Sensors Intelligent Internal Climate Control System for Agricultural Greenhouses Based on IoT Technology Tanazefti Asma, Amira Haddouk, Mechergui Hfaiedh International Conference Paper · IoT · Smart Agriculture Development of a Smart Energy Meter for Electrical Energy Consumption and Power Amira Haddouk, Asma Tanazafti, Mechergui Hfaiedh Book Chapter · Smart Energy Metering · Power Measurement Modeling and Regulation of the Internal Climate of an Agricultural Greenhouse Tanazefti Asma, Amira Haddouk, Mechergui Hfaiedh Conference Paper · Control Systems · Greenhouse Automation Power Losses Reduction in a Variable Linear Power Supply Using the LM317 Voltage Regulator Amira Haddouk, Khaoula Khlifi, Vitor Monteiro, Mechergui Hfaiedh Journal Article · Power Electronics · Energy Efficiency
Prof. Abderrahim Yousfi | Renewable Energy Systems | Renewable Electrical Innovation Award Published on 20/01/202620/01/2026 by Electrical Engineering Prof. Abderrahim Yousfi | Renewable Energy Systems | Renewable Electrical Innovation Award Assistant Director | University Mohamed Elbachir Elibrahimi of Borj Bou Arréridj | Algeria Dr. Abderrahim Yousfi is a Professor of Electronics specializing in micro-electronics at the University of Mohamed El Bachir El Ibrahimi, Algeria, within the Institute of Electronics and Telecommunications, where he holds senior academic and research leadership responsibilities. He earned bachelor’s, engineering, master’s, and doctoral degrees in electronics and micro-electronics, with advanced specialization in instrumentation and academic qualification accreditation. His professional experience includes postgraduate teaching and supervision, leadership of academic departments and research teams, coordination of scientific programs, and active involvement in international collaborations and conferences. His research focuses on perovskite solar cells, semiconductor device modeling, photovoltaic and optoelectronic materials, thin-film electronics, nanoelectronics, and numerical simulation, resulting in 35 scholarly publications with 352 citations and an h-index of 10. His academic profile is further strengthened by recognitions for scholarly contributions, extensive peer-review and editorial service for high-impact journals, and active membership in international scientific communities. Citation Metrics (Scopus) 352 35 30 25 20 15 10 0 Citations 352 Documents 35 h-index 10 Citations Documents h-index View Scopus Profile View Google Scholar View ResearchGate View ORCID Profile Featured Publications An Optimized Design of 10-nm-Scale Dual-Material Surrounded Gate MOSFETs for Digital Circuit Applications F. Djeffal, N. Lakhdar, A. Yousfi Physica E: Low-Dimensional Systems and Nanostructures · Highly Cited Current-Voltage Analytical Model and Multi-Objective Optimization of a Short-Channel Gate-All-Around Junctionless MOSFET F. Pezzimenti, H. Bencherif, A. Yousfi, L. Dehimi Solid-State Electronics · High-Impact Journal Revealing the Secrets of High-Performance Lead-Free CsSnCl₃-Based Perovskite Solar Cells Using DFT and SCAPS-1D O. Saidani, A. Yousfi, D. P. Samajdar, X. Xu, et al. Solar Energy Materials and Solar Cells · Top-Tier Journal Improved InₓGa₁₋ₓP/GaAs/Ge Tandem Solar Cell Using Light-Trapping Engineering and Multi-Objective Optimization H. Bencherif, L. Dehimi, F. Pezzimenti, A. Yousfi, et al. Optik · Advanced Photovoltaic Design Analytical Model for Light-Trapping Effects in ZnO:Al/c-Si/SiGe/c-Si Solar Cells with Optimized Design H. Bencherif, L. Dehimi, F. Pezzimenti, A. Yousfi International Conference on Applied Smart Systems
Beomju Kim | System Strength | Research Excellence Award Published on 20/01/202620/01/2026 by Electrical Engineering Mr. Beomju Kim | System Strength | Research Excellence Award Korea University | South Korea Kim Beomju is a Ph.D. integrated program researcher in the Department of Electrical and Electronic Engineering at Korea University, specializing in power and energy systems. He holds a bachelor’s degree in electrical engineering and is engaged in advanced doctoral research addressing contemporary power system challenges. His professional experience includes contributions to nationally and industry funded projects on HVDC operation and stability, offshore wind integration, power system inertia estimation, and grid robustness and flexibility assessment, with collaborative roles involving major energy institutions. His research focuses on power system stability and dynamics, renewable energy integration, and low inertia grid operation, resulting in peer reviewed journal publications, patented technologies, and registered software. His scholarly output comprises 6 research documents with 4 citations and an h index of 1, reflecting emerging academic impact, and he is a professional member of the Korean Institute of Electrical Engineers. Citation Metrics (Scopus) 6 5 4 3 2 1 0 Citations 4 Documents 6 h-index 1 Citations Documents h-index View Google Scholar View Scopus Profile View ORCID Profile Featured Publications Grid Connection Studies for Large-Scale Offshore Wind Farms Considering High Penetration of Regional Renewables N. Choi, B. Kim, D. Kim, B. Park, S. Kim, B. Lee Sustainability, Vol. 14, No. 2, Article 1015 A Study on the System Strength Evaluation Index Considering the Interaction Between Renewable Energy B. Kim, S. Im, B. Lee IEEE International Conference on Advanced Power System Automation and Protection RMS-Based PLL Stability Limit Estimation Using Maximum Phase Error for Power System Planning in Weak Grids B. Kim, J. Park, S. Oh, H. Cho, B. Lee Energies, Vol. 19, No. 1, Article 281 Implementation of a Local Renewable Management System for Increasing RES While Securing Stability in KEPCO’s Regional Power System J. Park, B. Kim, B. Lee, S. Park, J. Shin, B. Park International Journal of Electrical Power & Energy Systems, Vol. 172, Article 111337 An Enhanced Geometric Feature Extraction Method for Real-Time Oscillation Detection in Power Systems B. Kim, J. Park, H. Cho, S. Nam, B. Lee IEEE Access
Kim Beomju is a Ph.D. integrated program researcher in the Department of Electrical and Electronic Engineering at Korea University, specializing in power and energy systems. He holds a bachelor’s degree in electrical engineering and is engaged in advanced doctoral research addressing contemporary power system challenges. His professional experience includes contributions to nationally and industry funded projects on HVDC operation and stability, offshore wind integration, power system inertia estimation, and grid robustness and flexibility assessment, with collaborative roles involving major energy institutions. His research focuses on power system stability and dynamics, renewable energy integration, and low inertia grid operation, resulting in peer reviewed journal publications, patented technologies, and registered software. His scholarly output comprises 6 research documents with 4 citations and an h index of 1, reflecting emerging academic impact, and he is a professional member of the Korean Institute of Electrical Engineers. Citation Metrics (Scopus) 6 5 4 3 2 1 0 Citations 4 Documents 6 h-index 1 Citations Documents h-index View Google Scholar View Scopus Profile View ORCID Profile Featured Publications Grid Connection Studies for Large-Scale Offshore Wind Farms Considering High Penetration of Regional Renewables N. Choi, B. Kim, D. Kim, B. Park, S. Kim, B. Lee Sustainability, Vol. 14, No. 2, Article 1015 A Study on the System Strength Evaluation Index Considering the Interaction Between Renewable Energy B. Kim, S. Im, B. Lee IEEE International Conference on Advanced Power System Automation and Protection RMS-Based PLL Stability Limit Estimation Using Maximum Phase Error for Power System Planning in Weak Grids B. Kim, J. Park, S. Oh, H. Cho, B. Lee Energies, Vol. 19, No. 1, Article 281 Implementation of a Local Renewable Management System for Increasing RES While Securing Stability in KEPCO’s Regional Power System J. Park, B. Kim, B. Lee, S. Park, J. Shin, B. Park International Journal of Electrical Power & Energy Systems, Vol. 172, Article 111337 An Enhanced Geometric Feature Extraction Method for Real-Time Oscillation Detection in Power Systems B. Kim, J. Park, H. Cho, S. Nam, B. Lee IEEE Access