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

Dennis Ocholla | Information Science | Research Excellence Award

Published on by Electrical Engineering

Prof. Dennis Ocholla | Information Science | Research Excellence Award

Senior Professor | Univerasity of Zululand | South Africa

Professor Dennis N. Ocholla is a distinguished Professor of Information Studies at the University of Zululand, specializing in Library and Information Science with expertise in information seeking, knowledge management, applied bibliometrics, ICT4D, and information ethics. He holds advanced degrees in library and information studies, forming the foundation of a prolific academic career marked by senior professorial appointments, departmental leadership, research mentorship, and international scholarly engagement. His research addresses LIS education, indigenous knowledge, research visibility, information ethics, and digital transformation, with an extensive record of high-impact publications that have shaped scholarship and policy in Africa and globally. His academic influence is evidenced by 4,371 citations, an h-index of 37, and an i10-index of 96. His contributions are further recognized through prestigious research awards, professional honors, editorial leadership of leading journals, and active membership in prominent national and international scholarly bodies.

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Featured Publications

Marginalized Knowledge: An Agenda for Indigenous Knowledge Development and Integration with Other Forms of Knowledge
D. N. Ocholla
The International Review of Information Ethics · Citations: 204

Information Seeking Behavior of the Informal Sector Entrepreneurs: The Uganda Experience
R. Ikoja-Odongo, D. N. Ocholla
Library & Information Science Research · Citations: 112

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

Dominika Domagała | Biomedical Instrumentation | Research Excellence Award

Published on by Electrical Engineering

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

Zhongjun Ma | Nanoelectronics | Research Excellence Award

Published on by Electrical Engineering

Dr. Zhongjun Ma | Nanoelectronics | Research Excellence Award

Engineer | Henan Normal University | China

Zhongjun Ma is a faculty researcher at the School of Environment, Henan Normal University, Xinxiang, China, specializing in microwave absorption and related electromagnetic functional materials. He earned his doctoral degree with a specialization in microwave absorption science, building a strong foundation in material design, absorption mechanisms, and device-oriented applications. Professionally, he has contributed through academic teaching, research project participation, and collaborative research activities, demonstrating leadership in experimental design and scholarly dissemination. His research focuses on microwave absorbing materials, absorption mechanisms, and the development of high-performance microwave absorbing devices, with contributions that advance both theoretical understanding and practical implementation. He has authored 22 scholarly documents that collectively reflect sustained research productivity and impact, achieving 521 citations and an h-index of 12, underscoring the relevance and influence of his work within the field.

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Featured Publications

Toroidal Curved Overlapping Patch Resonant Microwave Sensor for Bolt Loosening Detection
Han, X.-Y.; Zhang, D.; Liu, J.; Liu, X.; Sun, C.; Fu, C.-H.; Ma, Z.-J. – SSRN
ZIF-67-Derived Hierarchical Porous Hollow Shell Engineering for Efficient Microwave Absorption in Ku Band
Han, X.; Sun, C.; Zhang, S.; Liu, K.; Zhai, P.; Liu, X.; Zhang, D.; Liu, J.; Ma, Z. – SSRN
Conversion of Lignin into Porous Carbons for High-Performance Supercapacitors via Spray Drying and KOH Activation
Feng, S.; Ouyang, Q.; Huang, J.; Zhang, X.; Ma, Z.; Liang, K.; Huang, Q. – Journal of Renewable Materials

Aseel Basheer | Machine Learning | Excellence in Research Award

Published on by Electrical Engineering

Dr. Aseel Basheer | Machine Learning | Excellence in Research Award

Postdoc | University of Oklahoma | United States

Aseel Basheer is a Graduate Research Assistant and Ph.D. candidate in Computer Science at the University of Oklahoma, with expertise in machine learning, data science, and large-scale data analytics. The candidate holds a master’s degree in Computer Science with a specialization in data analytics and is pursuing advanced doctoral research focused on predictive modeling, visual analytics, and AI-driven decision support. Professionally, Aseel has contributed to interdisciplinary research projects in public health intelligence and pandemic surveillance, developing AI/ML models, data-driven forecasting systems, and visualization platforms, while also demonstrating academic leadership through teaching, mentoring, and curriculum support in higher education. The candidate’s professional profile is further strengthened by recognized certifications in data analytics, machine learning, healthcare data science, and research rigor, alongside active engagement in scholarly communities. The scholarly impact is reflected through 22 citations, an h-index of 2, and an i10-index of 1.

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