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.

Citation Metrics (Scopus)

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Citations

41

h-index

3

Citations

h-index

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

Alexis Chavez | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Mr. Alexis Chavez | Renewable Energy Systems | Research Excellence Award

PhD Candidate | Universidad Mayor De San Simón | Bolivia

Ivan Alexis Chavez Flores is a Civil Engineer and Water Resources Engineer specializing in hydraulics, hydrology, and climate-resilient water systems, currently serving as an independent consultant at ELAXIS Ingeniería and a part-time academic instructor, with professional engagements across academia, consultancy, and applied engineering projects. He holds a Bachelor of Science in Civil Engineering with specialization in Hydraulics and Hydrology, graduating with highest academic distinction, and a Master of Science in Water Resources Engineering earned with cum laude recognition, complemented by advanced training in hydrological modeling, irrigation efficiency, His achievements include competitive international scholarships, institutional commendations for leadership and academic service, professional certifications, active membership in national and international engineering and water resources associations, and participation as a research collaborator within multidisciplinary scientific networks.

View  Scopus Profile View  ORCID Profile

Featured Publications

Ivan Alexis Chavez Flores*, Impacts of climate change on the hydropower potential of a multipurpose storage system project in Bolivian Andes. Journal of Hydrology: Regional Studies, 2025, Article 102903.

Ivan Alexis Chavez Flores, Mauricio Villazón, Diego Inturias, Pablo Pardo, Carolina Aldunate, Crítica, análisis y relleno de las series de tiempo hidrométricas de la Amazonía Boliviana: Ajuste de curvas de descarga H–Q (Tomo 1). FAO Bolivia, 2024.

Ivan Alexis Chavez Flores*, Crítica, análisis y relleno de las series de tiempo hidrométricas de la Amazonía Boliviana: Análisis, crítica y relleno de la información hidrométrica y caudales (Tomo 2). FAO Bolivia, 2024.

Santiago Núñez Mejía, Carina Villegas-Lituma, Patricio Crespo, Mario Córdova, Ronald Gualán, Johanna Ochoa, Pablo Guzmán, Daniela Ballari, Ivan Alexis Chavez Flores et al., Downscaling precipitation and temperature in the Andes: applied methods and performance—a systematic review protocol. Environmental Evidence, 2023, 12, Article 23.

Ms. Xiaohua Li | Machine Learning | Excellence in Research Award

Published on by Electrical Engineering

Ms. Xiaohua Li | Machine Learning | Excellence in Research Award

Associate Professor | Shanghai Electric Power University | China

Dr. Li Xiaohua, a distinguished Professor at Sichuan University and leading expert in materials science and structural engineering, is renowned for advancing high-performance composite materials and sustainable structural systems. She holds advanced degrees in materials engineering with specialization in composite behavior and structural performance, complemented by extensive experience in academic leadership, project supervision, and collaborative research initiatives. Her professional portfolio includes directing major institutional projects, mentoring interdisciplinary teams, and contributing to engineering innovations that strengthen the reliability and resilience of modern structures. Dr. Li’s research focuses on composite structures, fire-resistant materials, mechanical behavior, and performance optimization, supported by 297 citations, 34 scholarly documents, and an h-index of 11, reflecting her growing global impact. She has authored influential publications, contributed to high-level research panels, and advanced knowledge dissemination through editorial responsibilities and membership in professional engineering societies. Recognized for excellence in research, innovation, and service, she also holds relevant professional certifications that underscore her commitment to scientific rigor and continued advancement in the engineering sciences.

Profile: Scopus

Featured Publications

Li Xiaohua*, Probabilistic forecasting of coal consumption for power plants under deep peak shaving conditions using Informer with DDPM-based uncertainty modeling. Int. J. Electr. Power Energy Syst., 2025.

Li Xiaohua*, Electromagnetic vibration characteristics of permanent magnet synchronous motors with segmented grain-oriented electrical steel teeth–yoke.

Li Xiaohua, Research on core loss prediction of low-frequency transformer based on Grey Wolf optimisation algorithm optimised Back Propagation neural network. IET Electr. Power Appl., 2025.

 










































































 




	


	

	






	
	

		


Assoc. Prof. Dr. Guanlong Jia | Electric Engineering | Research Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Assoc. Prof. Dr. Guanlong Jia | Electric Engineering | Research Excellence Award


Associate Professor | Hebei University of Technology | China
















Guanlong Jia, Lecturer at Hebei University of Technology and a Member of IEEE, is a researcher specializing in high-power electronics with expertise in circuit breakers, multilevel converters, control algorithms, and pulse-width modulation techniques. He holds a Ph.D. in electrical engineering from Zhejiang University, where he focused on advanced power electronic systems and their reliability. In his professional capacity, he contributes to teaching and research in power conversion technologies, participating in institutional and collaborative projects that enhance innovation in electrical engineering. His research centers on the design, analysis, and optimization of high-power electronic devices, and his contributions are reflected in his scholarly publications and technical advancements in power electronics. He is recognized for his academic engagement and his role in supporting the wider research community through professional membership and ongoing contributions to the field. At the end of his academic profile: 295 citations, 42 documents, and an h-index of 7.












Profile: Scopus


Featured Publications


Jia, Guanlong*, Transient stability enhancement method for virtual synchronous generators using power-angle deviation with a modified reactive-power control loop. Electronics (Switzerland), Accepted.


Jia, Guanlong*, Multi-objective optimization design of fast vacuum switch operating mechanisms for hydrogen-storage power systems. AIP Advances, Accepted.


Jia, Guanlong, Dynamics simulation and fault-characteristic analysis of permanent-magnet repulsion mechanisms for vacuum circuit breakers integrating advanced high-power switching technologies. AIP Advances, Accepted.


















	


	

	






	
	

		


Dr. Angel Sapena Bano | Modelling Machines for Optimization | Research Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Dr. Angel Sapena Bano | Modelling Machines for Optimization | Research Excellence Award


Associate Professor | Universitat Politecnica de Valencia | Spain
















Ángel Sapena Bañó, Profesor Titular at the Universitat Politècnica de València, is a specialist in electrical engineering with expertise in electrical machines, diagnostic methods, numerical modelling, and condition monitoring. He holds degrees in Industrial Engineering, Energy Technology for Sustainable Development, and Secondary Education, complemented by a doctorate in Industrial Engineering focused on advanced diagnostic techniques for electrical machines. His professional trajectory includes roles as Lecturer, Researcher, and Technical Specialist, contributing to major academic initiatives, laboratory modernization, and collaborative research activities. He has participated in multiple competitive and industrial R&D projects, developed fault-diagnosis tools for induction machines and wind-energy systems, and strengthened international cooperation through research stays and Erasmus teaching engagements. His research spans analytical and hybrid modelling, finite-element methods, machine-learning-based diagnostics, and real-time simulation, reflected in numerous high-impact journal articles, conference contributions, book chapters, and patented inventions. He has led and co-led research outputs as first and corresponding author, supervised a wide range of graduate projects, and contributed to organizing scientific conferences and special issues. His distinctions include recognized research merits, invited reviewer roles in indexed journals, participation in prominent research groups, and involvement in impactful national and international scientific initiatives. His scholarly record includes 1,035 citations, 60 documents, and an h-index of 17.


Profiles: Scopus | ORCID


Featured Publications


Ángel Sapena Bañó*, Model-based diagnostic techniques for induction machines under transient operational conditions. Int. J. Electr. Power Energy Syst., Accepted.


Ángel Sapena Bañó*, Hybrid FEM–analytical modelling framework for efficient fault detection in eccentric induction motors. Sensors, 2025, 25, 1–28.


Ángel Sapena Bañó, Deep learning–enhanced condition monitoring strategies for electrical machines operating in variable regimes. Mathematics and Computers in Simulation, 2025, 1–28.