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.

 










































































 




	


	

	






	
	

		


Mr. Kamal Deen Moro | Renewable Energy Systems | Research Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Mr. Kamal Deen Moro | Renewable Energy Systems | Research Excellence Award


Administration | Northwestern Polytechnical University | China
























Kamal Deen Moro is a Graduate Research Assistant at Northwestern Polytechnical University, specializing in applied economics with core expertise in development economics, energy and environmental economics, and financial economics. He holds an MSc in Applied Economics with advanced training in econometrics, statistical modeling, and industrial economics, as well as a Bachelor of Commerce in Accounting with strong foundations in microeconomics, quantitative methods, and financial reporting. His professional experience includes supporting research design, conducting literature reviews, analyzing complex datasets, contributing to academic publications, developing grant proposals, and participating in interdisciplinary international projects, complemented by earlier roles in internal auditing, financial administration, and institutional service. His research focuses on renewable energy transitions, environmental sustainability, industrialization dynamics, policy uncertainty, and economic growth, resulting in multiple peer-reviewed publications that examine green technology deployment, environmental Kuznets relationships, hydropower impacts, and cleaner energy transitions. He has led and contributed to student organizations, coordinated projects, and engaged in community education initiatives. Kamal holds professional certifications in data analysis, visualization, and advanced STATA, with additional proficiency in R, EViews, Excel, and Python. His achievements include academic honors, recognition for outstanding participation in international academic programs, and excellence in mathematics. He is also an active member of the Institute of Chartered Accountants Ghana, strengthening his professional engagement. His scholarly contributions are reflected in 21 citations, 7 documents, and an h-index of 2, underscoring his growing impact in the fields of applied and environmental economics.










Profile: Scopus


Featured Publications


Moro K.D.*, Xi J., Fumey M.P., Awuye S.K., Sackitey G.M. Industrialization, energy demand and environmental pollution nexus in MINT economies: Does cleaner energy transition and environmental technology play a mitigating role? J. Environ. Manage., 2025, 376, 124451.
















Moro K.D.* Resource dependencies, market concentration, trade barriers and green technology deployment: A comparative analysis of solar, wind, and hydropower installation patterns. Renew. Energy, 2025.










































	


	

	






	
	

		


Dr. Amjed Albordhi | Renewable Energy Systems | Editorial Board Member
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Dr. Amjed Albordhi | Renewable Energy Systems | Editorial Board Member


Nassrayhi Power | Southern Technical University | Iraq


Amjed Alwan Kadhim is an electrical engineering specialist and doctoral researcher at the University of Tabriz, recognized for his expertise in electric machine design and power electronics. He holds B.Sc. and M.Sc. degrees in Electrical Engineering from the University of Technology–Baghdad, where he developed strong foundations in machine design, power electronic applications, and system analysis. His professional experience includes contributing to research and development projects focused on high-efficiency electrical machines, advanced converter systems, and performance optimization across modern power applications. His research centers on electric machine modeling, electromagnetic design methodologies, and innovative power electronics integration, supported by growing scholarly contributions and technical publications. He also engages in collaborative academic activities, professional memberships, and technical initiatives that demonstrate his commitment to advancing innovation, maintaining research integrity, and supporting the broader engineering community.


Profile: ORCID


Featured Publications


Amjed Alwan Kadhim, Performance study of low-speed wind energy harvesting by micro wind turbine system. Energy Reports, 2025, DOI: 10.1016/j.egyr.2025.02.046.


Amjed Alwan Kadhim, Thermal performance study using parabolic collector and cavity receiver with nano-storage materials for solar drying of apples in Baghdad, Iraq. Metallurgical and Materials Engineering, 2025, DOI: 10.63278/mme.vi.1604.


Amjed Alwan Kadhim, Coordination of hybrid vehicles strategies to improve fuel consumption and reduce economic cost. Int. J. Power Electron. Drive Syst., 2024, 15(2), 725–732, DOI: 10.11591/ijpeds.v15.i2.pp725-732.


Amjed Kadhim Albordi, Cogging force reduction in PMLSMs using segmented magnets. J. Oper. Autom. Power Eng., 2024.




	


	

	






	
	

		


Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Ms. Soujanya Reddy Annapareddy | BESS Power Flow and Energy | Energy Efficiency Excellence Award


Senior Firmware Automation Engineer | TAE Power Solutions | United States
















Ms. Soujanya Reddy Annapareddy is a Senior Firmware Automation Engineer at TAE Power Solutions, recognized for her expertise in embedded systems, firmware validation, and automation engineering. She holds advanced degrees in Computer Technology and Electronics and Communication Engineering, forming a strong interdisciplinary foundation that bridges software and hardware innovation. With extensive experience in developing Python-based automation frameworks, integration testing tools, and validation systems for complex embedded platforms, she has led and contributed to numerous industry and research projects aimed at enhancing automation efficiency and system reliability. Her research primarily focuses on firmware automation, embedded systems validation, IoT test architectures, software quality engineering, and cloud-integrated automation solutions. She has authored and co-authored more than twenty papers in international peer-reviewed journals and conferences, presenting impactful findings on energy-efficient embedded systems and adaptive control algorithms for battery energy storage systems. Beyond research, Ms. Annapareddy has served as a peer reviewer and judge for multiple reputed international journals, evaluating technical manuscripts across software automation and data-driven technologies. Her professional affiliations include membership in IEEE and active collaborations with multidisciplinary teams in academia and industry. She has been honored with recognitions for excellence in energy efficiency and innovation, reflecting her commitment to advancing intelligent, sustainable embedded technologies. Through her technical leadership, scholarly contributions, and dedication to continuous innovation, Ms. Soujanya Reddy Annapareddy exemplifies the qualities of a forward-thinking engineer and researcher in the global field of firmware automation and embedded systems engineering.


Profile: Google Scholar 


Featured Publications


Soujanya Reddy Annapareddy*, Managing power flows and energy efficiency in embedded systems for battery energy storage systems (BESS). Int. J. Adv. Innov. Dev. Res., Accepted.


Soujanya Reddy Annapareddy*, Python-based automation frameworks for firmware validation and integration testing in embedded platforms. Int. J. Innov. Res. Comput. Technol., 2024, 8(3), 245–252.


Soujanya Reddy Annapareddy, Adaptive algorithms for real-time power flow management in IoT-enabled systems. Int. J. Autom. Control Technol., 2024, 7(2), 118–129.


Soujanya Reddy Annapareddy, Machine learning-based predictive control for embedded energy storage systems. Int. J. Firmware Modern. Res., 2024, 6(4), 342–350.


Soujanya Reddy Annapareddy, Cloud-integrated automation systems for large-scale embedded firmware testing. Int. J. Latest Res. Publ., 2024, 5(1), 97–105.