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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View ResearchGate View Google Scholar View ORCID Profile

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

Zhenghua Qian | Machine Learning | Research Excellence Award

Published on by Electrical Engineering

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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Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Published on by Electrical Engineering

Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, Professor in the School of Instrumentation Science and Engineering at Harbin Institute of Technology, is a leading specialist in control science and precision motion systems whose work advances high-end manufacturing and inspection technologies. With a Ph.D. in Control Science and Engineering and research expertise spanning motion generation, performance control, learning control, and system accuracy retentivity, he has built a distinguished academic and professional record through roles as researcher, lecturer, associate professor, and project leader on numerous advanced engineering projects. He has authored more than forty peer-reviewed publications, contributed a research monograph, and secured an extensive portfolio of patents and software copyrights, reflecting strong innovation and impact in precision motion control. His scholarly influence is further demonstrated by 432 citations across 367 documents, 45 indexed publications, and an h-index of 9. Dr. Song has been recognized with major honors, including high-level national and provincial awards for technological invention, innovation, and academic contribution, and he maintains active professional service as guest editor, editorial board member, conference session chair, peer reviewer for leading journals, and expert evaluator for national research programs. His contributions exhibit a blend of scientific rigor, technological advancement, and leadership, positioning him as an exemplary candidate for award recognition.

Profiles: Scopus | ORCID

Featured Publications

Fazhi Song, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*

Fazhi Song, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*

Fazhi Song, Identification for precision mechatronics: An auxiliary model-based hierarchical refined instrumental variable algorithm. Int. J. Robust Nonlinear Control, 2025.*

Fazhi Song, Beyond performance of learning control subject to uncertainties and noise: A frequency-domain approach applied to wafer stages. IEEE/CAA J. Autom. Sinica, 2025, 5 citations.*

Ms. Siqin Liao | Control Systems & Optimization | Best Researcher Award

Published on by Electrical Engineering

Ms. Siqin Liao | Control Systems & Optimization | Best Researcher Award

Student | The School of Computer Science, Guangdong University of Technology | China

Siqin Liao is a Ph.D. candidate at the School of Computer Science, Guangdong University of Technology, specializing in control theory and intelligent systems. He holds a Master of Engineering in Control Engineering from Guangdong University of Technology and a Bachelor of Engineering in Electrical Engineering and Automation from Xinyu University, and has completed a visiting research program at the University of Adelaide, Australia. His research focuses on asynchronous control of Markov jump systems, cooperative control of multi-agent systems, and network security control. Liao has published seven SCI-indexed papers in leading journals such as IEEE Transactions on Cybernetics and Systems & Control Letters, contributing novel control methodologies for stochastic and networked systems under uncertainty and cyberattacks. He has participated in provincial-level projects funded by the Guangdong Basic and Applied Basic Research Foundation and collaborates internationally on control design research. His scholarly impact includes over 100 citations, with recognition for his first-author and corresponding-author publications. As a student member of IEEE, he upholds academic excellence and innovation in control system theory. His achievements have earned him awards such as the First Prize in the Siemens Cup China Intelligent Manufacturing Challenge and the Third Prize in the China Robowork Competition, highlighting both his technical expertise and leadership in engineering research. His research record includes 80 citations across 7 publications with an h-index of 2, reflecting his growing academic influence.

Profile: Scopus

Featured Publications

Siqin Liao*, Zheng-Guang Wu, Yuanqing Wu. Constrained quadratic control for Markov jump systems with multiplicative noise. Syst. Control Lett., 2025, 203:06–27.

Siqin Liao*, Yuanqing Wu, Zheng-Guang Wu, Peng Shi. Design on dynamic event and self-triggered control for systems with Markov jumps and denial-of-service attacks. J. Franklin Inst., 2025, doi:10.1016/j.jfranklin.2025.108006.

Siqin Liao, Zheng-Guang Wu, Yuanqing Wu*. Control for Markov jump systems with partially unknown transition probabilities under denial-of-service attacks. Int. J. Robust Nonlinear Control., 2025, doi:10.1002/rnc.70142.