Lei Guan | Machine Learning | Research Excellence Award

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Mr. Lei Guan | Machine Learning | Research Excellence Award

Director | China Academy of Safety Science and Technology | China

Lei Guan is a Director and Professor at the Risk Monitoring and Early Warning Center, China Academy of Safety Science and Technology, with expertise in risk monitoring, early warning systems, artificial intelligence, and industrial safety engineering. He holds a Bachelor’s degree in Materials Science and Master’s and Doctoral degrees in Mechanical Engineering with specialization in precision instruments and safety-related systems. He has led major national and ministerial research programs, directed key laboratories and professional committees, supervised graduate researchers, and provided technical leadership for large-scale industrial and governmental safety initiatives. His research focuses on intelligent work safety systems, industrial internet applications, digital twins, data-driven risk modeling, and emergency management, with sustained contributions through peer-reviewed publications, patents, and standards development. His scholarly impact is reflected in 18 citations, an h-index of 3, and 13 published articles.

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Featured Publications

Numerical simulation of the double pits stress concentration in a curved casing inner surface
W. Yan, L. Guan, Y. Xu, J.G. Deng – Advances in Mechanical Engineering, 9(1) (3 citations)

Safety monitoring and management system for fluid catalytic cracking (FCC) process
L. Fang, Z. Wu, L. Wei, R. Kang, L. Guan – International Conference on Information and Automation (3 citations)

Study on SVM-based Flame Recognition and Fire Warning for Cotton and Linen Warehouses
X. Zhao, S. Hao, L. Guan, Y. Wang, Q. Zhao, D. Lv – IEEE Conference on Advances in Electrical Engineering (2 citations)

Industrial Internet of Things (IIoT) Identity Resolution Techniques: A Review
C. Dai, H. Li, L. Guan, M. Chi – IEEE BigDataSecurity (1 citation)

Chaima Bouhlila | Building Energy | Innovative Research Award

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Dr. Chaima Bouhlila | Building Energy | Innovative Research Award

Electroless Nickel Immersion Gold | Tunisia

Chaima Bouhlila is an educator and computing professional specializing in computer science and multimedia, currently serving as a teaching faculty member at the Institut Supérieur d’Informatique et Multimédia de Gabès, with academic and applied expertise spanning digital technologies, information systems, and multimedia processing. Her scholarly and applied interests focus on multimedia computing, digital information processing, image analysis, and technology-enabled learning, with contributions through academic teaching, applied projects, and knowledge dissemination aligned with contemporary computing practices. In recognition of her professional standing, she has been entrusted with multidisciplinary instructional responsibilities, engaged in academic service and capacity-building initiatives, and maintains active involvement in professional development, demonstrating sustained commitment to educational excellence, institutional contribution, and the advancement of computer science and multimedia education.

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Featured Publications


Adaptation of HVAC Systems to Improve the Energy Efficiency of Smart Buildings
Chaima Bouhlila, Achour Fatma – Procedia Computer Science

Sushil Kumar | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Assist. Prof. Dr. Sushil Kumar | Renewable Energy Systems | Research Excellence Award

Assistant Professor | National Institute of Technology Jamshedpur | India

Sushil Kumar is a Research Scholar in the Department of Humanities and Social Sciences at Motilal Nehru National Institute of Technology, Allahabad, with expertise in Management and Human Resource Management. He has contributed to empirical and interdisciplinary research that bridges human resource practices with organizational well-being and performance. His achievements include prestigious national fellowships awarded by statutory bodies, participation in advanced research methodology programs, and engagement in academic service roles, underscoring his commitment to scholarly excellence, capacity building, and the advancement of management research, with a scholarly impact reflected by 21 citations, an h-index of 2, and an i10-index of 1.

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Hadi Masjedy | Speech Recognition | Research Excellence Award

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Assist. Prof. Dr. Hadi Masjedy | Speech Recognition | Research Excellence Award

Faculty Member | Hakim Sabzevari University | Iran

Dr. Hadi Masjedy is a senior academic and educator in applied linguistics and Teaching English as a Foreign Language (TEFL), currently serving as a faculty member at Hakim Sabzevari University and as a writing-across-the-curriculum specialist at the College of the North Atlantic–Qatar, with extensive experience across universities, teacher training institutions, and international school programs. He holds a doctoral degree in TEFL, along with master’s and bachelor’s degrees in the same field, reflecting a strong and consistent academic foundation in English language education. His professional career spans roles as lecturer, instructor, department head, curriculum designer, and academic leader, including leadership in English departments, supervision of international schools, and active participation in national and international education initiatives. His scholarly impact is reflected in 5 citations, 3 documents, and an h-index of 2.

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Featured Publications

Reflections on English as a Foreign Language Teacher Burnout Risk Factors: The Interplay of Multiple Variables
S. M. R. Amirian, H. Masjedy, A. S. Khadijeh – Applied Research on English Language (7 citations)

An Overview of Text Mining in Language Studies: The Computational Approach to Text Analytics
H. Masjedy, S. M. R. Adel, S. M. R. Amirian, G. Zareian – Language Related Research (3 citations)

Towards Textbook Development Excellency: A Content Analysis of Grade 10 English Textbook Authenticity
H. Masjedy – National Conference on Challenges in Foreign Language Teaching

Dauda Adenusi | Industrial Automation | Best Researcher Award

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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

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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

Published on by Electrical Engineering

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

Published on by Electrical Engineering

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

Published on by Electrical Engineering

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

Published on by Electrical Engineering

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