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

Amira Haddouk | Instrumentation and sensors | Research Excellence Award

Published on 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.

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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 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.

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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 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.

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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

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

Kristaq Hazizi | Automotive Engineering | Research Excellence Award

Published on by Electrical Engineering

Dr. Kristaq Hazizi | Automotive Engineering | Research Excellence Award

Lecture | Coventry University | United Kingdom

Dr. Kristaq Hazizi is a Lecturer in Automotive and Mechanical Engineering at Coventry University, specializing in automotive systems, turbocharging, fluid dynamics, and computational engineering. He holds doctoral and master’s degrees in mechanical and automotive engineering, with advanced training in computational fluid dynamics, finite element analysis, and academic practice. Dr. Hazizi has achieved scholarly impact with 41 citations, an h-index of 3, and an i10-index of 1, and actively contributes to academia through teaching excellence, research dissemination, and engagement with professional engineering communities.

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Featured Publications


Numerical Analysis of a Turbocharger Compressor
K. Hazizi, A. Ramezanpour, A. Costall, M. Asadi
Conference Paper · E3S Web of Conferences


Numerical Optimisation of the Diffuser in a Typical Turbocharger Compressor Using the Adjoint Method
K. Hazizi, A. Ramezanpour, A. Costall
Journal Article · Automotive and Engine Technology


Design, Construction, and Simulation-Based Validation of a High-Efficiency Electric Powertrain for a Shell Eco-Marathon Urban Concept Vehicle
K. Hazizi, S. Erateb, A. D. Carri, J. Jones, S. Sam, R. Yau, S. H. Leung
Journal Article · Designs


Analytical and Numerical Investigation of Fatigue Life in Rectangular Plates with Opposite Semicircular Edge Single Notches
K. Hazizi, M. Ghaleeh, S. Rasool
Journal Article · Fracture and Structural Integrity

Chengbo Tian | Wearable Electronics | Research Excellence Award

Published on by Electrical Engineering

Mr. Chengbo Tian | Wearable Electronics | Research Excellence Award

Nanjing University of Aeronautics and Astronautics | China

Chengbo Tian is a Ph.D. candidate in mechanical engineering at Nanjing University of Aeronautics and Astronautics, specializing in smart materials, soft sensors, and haptic interfaces. He has served as principal investigator for nationally, provincially, and institutionally funded research projects and has contributed to interdisciplinary research initiatives. His research focuses on PVC gel–based actuation and sensing technologies for wearable devices, human–computer interaction, and embodied intelligence, resulting in seven peer-reviewed publications indexed in leading journals and conferences. His scholarly output has received 29 citations with an h-index of 4, alongside multiple granted and accepted patents. He has received academic excellence awards and actively contributes to the research community through professional memberships and scholarly engagement.

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Featured Publications

Fabrication and Sensing Characterization of Ionic Polymer–Metal Composite Sensors for Human Motion Monitoring
Guoxiao Yin, Chengbo Tian, Qinghua Jiang, Min Yu
Journal Article · January 2026

Multi-Axis Actuation of Square Rod-Shaped IPMC Actuators via Fused Deposition Modeling
Guoxiao Yin, Chengbo Tian, Min Yu, Yang Li
Journal Article · December 2025

Performance Enhancement of Aquivion-Based Ionic Polymer–Metal Composites for Cylindrical Actuators
Xiaojie Tong, Min Yu, Guoxiao Yin, Gengying Wang
Journal Article · July 2024

Dynamic Braille Display Based on Surface-Structured PVC Gel
Chengbo Tian, Min Yu, Yuwei Wu, Hongkai Li
Journal Article · February 2024

Beomju Kim | Power System Stability | Research Excellence Award

Published on by Electrical Engineering

Mr. Beomju Kim | Power System Stability | Research Excellence Award

Power System | 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 has developed strong expertise through advanced doctoral training focused on modern power grids. His professional experience includes active roles in nationally and industry funded projects in collaboration with major energy stakeholders, contributing to HVDC operation, offshore wind integration, grid robustness assessment, and system monitoring platforms. His research focuses on power system stability and dynamics, renewable energy integration, inertia estimation, and frequency stability, with publications in internationally indexed journals as well as patented technologies for advanced grid analysis and monitoring. His achievements include research excellence recognitions, patented innovations, and active membership in professional engineering societies. His scholarly impact is reflected in 10,746 citations, an h-index of 41, and an i10-index of 109.

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Featured Publications

Attack Vulnerability of Complex Networks
P. Holme, B. J. Kim, C. N. Yoon, S. K. Han
Physical Review E · Citations: 2564

Growing Scale-Free Networks with Tunable Clustering
P. Holme, B. J. Kim
Physical Review E · Citations: 1511

Synchronization on Small-World Networks
H. Hong, M. Y. Choi, B. J. Kim
arXiv Preprint · Citations: 573

Vertex Overload Breakdown in Evolving Networks
P. Holme, B. J. Kim
Physical Review E · Citations: 338

Factors That Predict Better Synchronizability on Complex Networks
H. Hong, B. J. Kim, M. Y. Choi, H. Park
Physical Review E · Citations: 314