Dauda Adenusi | Industrial Automation | Best Researcher Award

Mr. Dauda Adenusi | Industrial Automation | Best Researcher Award

Lecturer | Atiba University | Nigeria

Dr. Dauda Adeite Adenusi is a Lecturer in the Department of Computing Science at Atiba University, Ibadan, and a cybersecurity scholar with expertise spanning cyber situational awareness, network intrusion detection, applied cryptography, and intelligent security systems. He holds a Bachelor’s degree and a Master’s degree in Computer Science and is currently completing a doctoral program in Computer Science, with advanced training in cybersecurity and data-driven security analytics. Dr. Adenusi has extensive academic and professional experience across universities and polytechnics, where he has served in teaching, research, academic leadership, and administrative roles, including Head of Department, program coordinator, accreditation committee chair, and student project supervisor. The author has received 7 citations across 2 scholarly documents, with an h-index of 1.

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Featured Publications

Information and Communication Technology (ICT) and Rural Development in Nigeria
I. O. Ebo, B. M. Amosa, D. A. Adenusi – International Journal of Science and Advanced Technology (10 citations)

Challenges and Way Out of Cyber Security Issues in Nigeria
D. A. Adenusi, A. U. Adekunle, O. O. Odewale – International Conference of Villanova Polytechnic (6 citations)

ICT in Education Among Higher Education Students
D. A. Adenusi, A. A. Adebayo, B. O. Oni – Villanova Journal of Science, Technology and Management (6 citations)

Development of Cyber Situation Awareness Model
D. Adenusi, B. K. Alese, B. M. Kuboye, A. F. B. Thompson – International Conference on Cyber Situational Awareness (5 citations)

Development of Threats Detection Model for Cyber Situation Awareness
A. D. Adenusi, E. C. Ayeleso, A. K. Kawonise, J. B. Ekuewa, A. A. Adebayo – ICONSEET Proceedings (4 citations)

Qiaoning Yang | Signal & Image Processing | Best Researcher Award

Assoc. Prof. Dr. Qiaoning Yang | Signal & Image Processing | Best Researcher Award

Associate Professor | Beijing University of Chemical Technology | China

Qiaoning Yang is an Associate Professor at the College of Information Science, Beijing University of Chemical Technology, with expertise spanning control science and engineering, signal and information processing, image processing, deep learning, and computer vision. She earned her doctoral degree with a specialization in control science and engineering and has developed a sustained academic career combining teaching, research, and applied innovation within a leading technological institution. Her contributions have advanced the integration of signal processing, image analysis, and computer vision into real-world engineering solutions across industry and applied technology domains. She is a professional member of the China Society of Image and Graphics and is recognized for her sustained research excellence, interdisciplinary innovation, and commitment to advancing intelligent engineering systems, with a scholarly impact reflected by 436 citations, an h-index of 8, and an i10-index of 7.

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Featured Publications

Deep convolution neural network-based transfer learning method for civil infrastructure crack detection
Q. Yang, W. Shi, J. Chen, W. Lin – Automation in Construction (221 citations)
Human posture recognition and fall detection using Kinect V2 camera
Y. Xu, J. Chen, Q. Yang, Q. Guo – Chinese Control Conference (41 citations)
Real-time comprehensive image processing system for detecting concrete bridges crack
W. Lin, Y. Sun, Q. Yang, Y. Lin – Computers and Concrete (15 citations)

George Korres | Smart Grids and Microgrids | Research Excellence Award

Mr. George Korres | Smart Grids and Microgrids | Research Excellence Award

Professor | National Technical University of Athens | Greece

George N. Korres is a Professor of Electrical and Computer Engineering at the National Technical University of Athens, specializing in power systems engineering, smart grids, and energy system automation. He earned his Diploma and Ph.D. in Electrical and Computer Engineering with a focus on power systems and state estimation, building a strong academic foundation that underpins his long-standing career in both academia and industry. His professional experience spans academic leadership as Director of the Power Division and Director of the Energy Systems Laboratory, along with significant involvement in large-scale national and international research and development projects related to energy management systems, microgrids, and grid modernization. His scholarly impact is demonstrated by 5,621 citations, an h-index of 42, and an i10-index of 75.

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Featured Publications

Taxonomy of PMU Placement Methodologies
N. M. Manousakis, G. N. Korres, P. S. Georgilakis – IEEE Transactions on Power Systems (464 citations)

A Distributed Multiarea State Estimation
G. N. Korres – IEEE Transactions on Power Systems (288 citations)

State Estimation and Bad Data Processing for Systems Including PMU and SCADA Measurements
G. N. Korres, N. M. Manousakis – Electric Power Systems Research (250 citations)

Power System Real-Time Monitoring Using PMU-Based Robust State Estimation
J. Zhao et al., G. N. Korres – IEEE Transactions on Smart Grid (247 citations)

Hardware-in-the-Loop Design and Optimal Setting of Adaptive Protection Schemes for Distribution Systems with Distributed Generation
V. A. Papaspiliotopoulos, G. N. Korres et al. – IEEE Transactions on Power Delivery (234 citations)

Soodeh Hosseini | Machine Learning | Research Excellence Award

Prof. Dr. Soodeh Hosseini | Machine Learning | Research Excellence Award

Corresponding Author | Shahid Bahonar University of Kerman | Iran

Dr. Soodeh Hosseini is an Associate Professor of Computer Science at the Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, specializing in artificial intelligence, machine learning, cybersecurity, and complex networks. She holds a bachelor’s degree in Computer Science, a master’s degree in Computer Engineering with a specialization in software, and a doctorate in Computer Engineering with a focus on software engineering. Her professional experience encompasses extensive academic teaching, supervision of advanced research projects, leadership as head of academic and research units, and active involvement in technology growth centers and science parks, alongside advisory and executive roles in scholarly and innovation-driven initiatives. Her scholarly impact is evidenced by 1,426 citations, an h-index of 23, and an i10-index of 34.

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Featured Publications

A hybrid sine–cosine and golden ratio optimization algorithm for feature selection in intrusion detection systems
M. Maazalahi, S. Hosseini – International Journal of System Assurance Engineering and Management

Analytics and measuring the vulnerability of communities for complex network security
M. Jouyban, S. Hosseini – International Journal of Data Science and Analytics

An Improved Binary Slime Mold Algorithm for Intrusion Detection Systems
M. Khorashadizade, S. Hosseini, M. Jouyban – Concurrency and Computation: Practice and Experience

Yijie Shen | Structured Light | Research Excellence Award

Prof. Yijie Shen | Structured Light | Research Excellence Award

Assistant Professor | Nanyang Technological University | Singapore

Yijie Shen is a Nanyang Assistant Professor at Nanyang Technological University, Singapore, with joint appointments in the School of Physical and Mathematical Sciences and the School of Electrical and Electronic Engineering, and is an internationally recognized expert in photonics and optical engineering. He received a doctoral degree in optical engineering from Tsinghua University and a bachelor’s degree in mechanical engineering and automation from South China University of Technology. His professional experience spans academic leadership, competitive international research projects, and interdisciplinary collaboration, including prior service as a Marie-Curie Senior Research Fellow and active leadership in high-impact research initiatives. The candidate has achieved 7,691 citations with an h-index of 39 and an i10-index of 76, reflecting a strong and sustained scholarly impact.

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Featured Publications

Optical vortices 30 years on: OAM manipulation from topological charge to multiple singularities
Y. Shen, X. Wang, Z. Xie, C. Min, X. Fu, Q. Liu, M. Gong, X. Yuan – Light: Science & Applications · Cited by 2376

Towards higher-dimensional structured light
C. He, Y. Shen, A. Forbes – Light: Science & Applications · Cited by 571

Optical skyrmions and other topological quasiparticles of light
Y. Shen, Q. Zhang, P. Shi, L. Du, X. Yuan, A. V. Zayats – Nature Photonics · Cited by 362

Supertoroidal light pulses as electromagnetic skyrmions propagating in free space
Y. Shen, Y. Hou, N. Papasimakis, N. I. Zheludev – Nature Communications · Cited by 229

Generation of optical skyrmions with tunable topological textures
Y. Shen, E. C. Martínez, C. Rosales-Guzmán – ACS Photonics · Cited by 223

Yaser Damchi | Smart Grids and Microgrids | Excellence in Research Award

Dr. Yaser Damchi | Smart Grids and Microgrids | Excellence in Research Award

Associate Professor | Shahrood University of Technology | Iran

Yaser Damchi is an Associate Professor in the Faculty of Electrical Engineering at Shahrood University of Technology, specializing in electrical power engineering with a strong focus on power system protection and reliability. He earned his doctoral, master’s, and bachelor’s degrees in electrical power engineering with advanced specialization in protection systems, relay coordination, and transient analysis. His professional experience includes academic leadership as Head of the Power Department, establishment of a protection and relays digital laboratory, and management and participation in numerous industry-linked power system projects addressing protection design, reliability assessment, and renewable energy integration.  The candidate’s scholarly impact is evidenced by 672 citations, an h-index of 14, and an i10-index of 24.

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Featured Publications

MILP approach for optimal coordination of directional overcurrent relays in interconnected power systems
Y. Damchi, M. Dolatabadi, H.R. Mashhadi, J. Sadeh – Electric Power Systems Research

Optimal coordination of directional overcurrent relays in a microgrid system using a hybrid particle swarm optimization
Y. Damchi, H.R. Mashhadi, J. Sadeh, M. Bashir – International Conference on Advanced Power System Automation

Optimal coordination of distance and overcurrent relays considering a non-standard tripping characteristic for distance relays
Y. Damchi, J. Sadeh, H.R. Mashhadi – IET Generation, Transmission & Distribution

Reliability-centred maintenance for circuit breakers in transmission networks
M. Abbasghorbani, H.R. Mashhadi, Y. Damchi – IET Generation, Transmission & Distribution

Dominika Domagała | Biomedical Instrumentation | Research Excellence Award

Ms. Dominika Domagała | Biomedical Instrumentation | Research Excellence Award

Wroclaw Medical University | Poland

Dominika Domagała is a research and teaching assistant at Wroclaw Medical University, specializing in human anatomy, physical anthropology, and forensic sciences, with academic expertise spanning medical, physiotherapy, nursing, and emergency medical education. She holds a Bachelor of Science and a Master of Science in Human Biology with specialization in Physical Anthropology and is currently pursuing doctoral studies, focusing on advanced anatomical and anthropological research.  Her professional development includes certified training in higher education pedagogy, and she maintains active engagement in academic and research communities. Scholarly impact indicators include 92 citations, 19 research documents, and an h-index of 4.

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Featured Publications

Yuhui Zhou | Wireless Communication | Research Excellence Award

Ms. Yuhui Zhou | Wireless Communication | Research Excellence Award

Student | Henan Polytechnic University | China

Zhou Yuhui is a postgraduate researcher in Electronic Information at Henan Polytechnic University, specializing in wireless communications and integrated sensing and communication systems. He holds a bachelor’s degree in Communication Engineering and is pursuing a master’s degree with advanced training in wireless communication theory, signal detection and estimation, and space–time coding, consistently ranking among the top students academically. His professional experience includes active participation in a provincial-level research project focused on key technologies for autonomous-driving-oriented integrated sensing and communication. His achievements are complemented by multiple academic and technical competition awards, institutional honors recognizing academic excellence, editorial and scholarly engagement through indexed publications, and professional certifications in language proficiency and technical tools, underscoring his well-rounded academic profile and commitment to research excellence. 3 Citations, 5 Documents, 1 h-index

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Featured Publications

Secure backscatter NOMA systems with dual-antenna relay: Reliability, security, and efficiency analysis
Liyao Ma, Yuhui Zhou, Gaojian Huang, Mengyan Huang – Physical Communication

Time-modulated planar arrays enabled directional modulation symbol synthesis
Hui Chen, Yuhui Zhou, Shufen Chen, Xingwang Li – Physical Communication

Outage Probability Analysis of the Symbiotic Backscatter-NOMA Systems
Yuhui Zhou, Gaojian Huang, Xingwang Li – Conference Paper

Hadeer Helaly | Biomedical Instrumentation | Research Excellence Award

Dr. Hadeer Helaly | Biomedical Instrumentation | Research Excellence Award

Lecturer Assistant | Damietta University | Egypt

Dr. Hadeer Abdo Mohamed Abdellatif Helaly is an Assistant Lecturer at the Faculty of Engineering, Damietta University, with expertise in computer and control systems engineering, artificial intelligence, and deep learning for healthcare applications. She earned her Bachelor’s, Master’s, and doctoral training from the Faculty of Engineering, Mansoura University, specializing in computer and control systems engineering, with advanced research concentration in deep learning, medical image analysis, and disease detection. Her professional experience spans academic teaching, supervision of undergraduate projects, research assistance, and industry exposure as an open-source web developer, alongside active participation in international research training and collaborative projects in machine learning, speech analysis, and medical diagnostics. Her scholarly impact is evidenced by a Scopus profile comprising 5 documents, 354 citations, and an h-index of 3.

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Featured Publications

Early Breast Cancer Detection, Affected Cell Classification, and Segmentation Framework
H. A. Helaly, M. Badawy, E. M. El-Gendy, A. Y. Haikal – Engineering Applications of Artificial Intelligence

ELCD-NSC2: A Novel Early Lung Cancer Detection and Non-Small Cell Classification Framework
H. A. Helaly, M. Badawy, E. M. El-Gendy, A. Y. Haikal – Neural Computing and Applications

A Review of Deep Learning Approaches in Clinical and Healthcare Systems Based on Medical Image Analysis
H. A. Helaly, M. Badawy, A. Y. Haikal – Multimedia Tools and Applications

Deep Learning Approach for Early Detection of Alzheimer’s Disease
H. A. Helaly, M. Badawy, A. Y. Haikal – Cognitive Computation

Toward Deep MRI Segmentation for Alzheimer’s Disease Detection
H. A. Helaly, M. Badawy, A. Y. Haikal – Neural Computing and Applications

Zhenghua Qian | Machine Learning | Research Excellence Award

Prof. Dr. Zhenghua Qian | Machine Learning | Research Excellence Award

Professor | Nanjing University of Aeronautics and Astronautics | China

Professor Zhenghua Qian is a distinguished scholar in solid mechanics and aerospace engineering, serving as a Professor at the College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, and a core member of the State Key Laboratory of Mechanics and Control of Aerospace Structures, with expertise spanning wave propagation, piezoelectric and smart structures, structural health monitoring, and machine learning–assisted nondestructive evaluation. The candidate’s scholarly impact is evidenced by 1,877 citations across 219 publications, with an h-index of 24.

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