Prof. Dr. Xiaodong Qiu | Human–Robot Interaction | Best Researcher Award

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Prof. Dr. Xiaodong Qiu | Human–Robot Interaction | Best Researcher Award

Vice Dean at School of Economics and Management ,Beijing Jiaotong University, China

Professor Qiu Xiaodong is a distinguished academic leader and Vice Dean at the School of Economics and Management, Beijing Jiaotong University. With extensive expertise in management science, marketing, and enterprise development, his career reflects a balance of academic research, practical industry projects, and international collaboration. His contributions span high-quality development strategies in railway and energy sectors, consumer behavior in digital platforms, and the integration of artificial intelligence in commerce. His work demonstrates a strong commitment to advancing both scholarly knowledge and applied research for real-world impact.

Professional Profile

Scopus Profile | ORCID

Education

Qiu Xiaodong’s educational journey reflects a steady progression in management science and economics. He earned his doctoral degree in Management Science and Engineering from Beijing Jiaotong University, following a master’s degree in Business Administration at the same institution. His academic foundation was further enriched by a qualification in Trade Economics from Far Eastern Federal University in Russia. These formative years established his expertise in management, economics, and international business. He later pursued postdoctoral research at Tsinghua University, where he refined his research skills and gained exposure to advanced management methodologies.

Experience

Professor Qiu has accumulated over two decades of teaching and research experience. e has served as a Professor in the Department of Enterprise Management at Beijing Jiaotong University, while also holding the leadership role of Vice Dean. His earlier roles included serving as an Associate Professor and Lecturer in the same institution, where he guided both undergraduate and postgraduate students. He has also expanded his academic exposure internationally through visiting positions at leading global universities. Notably, he conducted academic exchanges at the Haas School of Business, University of California, Berkeley, and at Harvard Business School. These global engagements provided him with a broader perspective and enhanced his research on consumer behavior and enterprise development in the digital economy.

Research Focus

Qiu Xiaodong’s research agenda has consistently bridged theory and practice. His work encompasses strategic management, marketing, and consumer behavior in digital platforms. Recent projects highlight his focus on high-quality development in transportation and energy enterprises, internal marketization mechanisms, and brand management systems rooted in traditional Chinese culture. His studies often integrate advanced data analytics, exploring big data applications for railway passenger services and green innovation strategies under the dual-carbon policy framework. Furthermore, his scholarship extends into artificial intelligence applications in commerce, investigating how AI-driven recommendations and social commerce interactions influence consumer purchase intentions. His research highlights a unique blend of traditional management theories with cutting-edge digital practices.

Awards & Honors

Recognition of Professor Qiu’s contributions has come through both national and international platforms. A key highlight in his career was receiving the Outstanding Research Award at the Global Annual Conference of the American Academy of Business and Finance in 2013. This award reflected the global relevance of his studies in management and enterprise development. Additionally, his leadership in large-scale funded projects with organizations such as PetroChina, China Shenhua Energy, and the National Railway Administration underscores the value placed on his expertise by government and industry alike. His projects have consistently addressed pressing national needs, from sustainable transportation strategies to corporate innovation and high-quality growth frameworks.

Publication Top Notes

Title: The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce
Author(s): Jiwang Yin; Xiaodong Qiu; Ya Wang
Journal: Journal of Theoretical and Applied Electronic Commerce Research

Title: Drivers and Obstacles of Consumers’ Continuous Participation Intention in Online Pre-Sales: Social Exchange Theory Perspective
Author(s): Ya Wang; Xiaodong Qiu; Jiwang Yin; Liya Wang; Rong Cong
Journal: Behavioral Sciences

Title: Social Commerce Purchase Intention: The Salience of Consumer-To-Consumer Interactions
Author(s): Johakim Katekele John; Xiaodong Qiu; Jerum William Kilumile; George Mofulu
Journal: Journal of Consumer Behaviour

Title: Influence Mechanism Research on the AI Marketing Technology of Online Shopping Platform on Consumers’ Purchase Intention
Author(s): Jiwang Yin; Xiaodong Qiu
Journal: Proceedings of the 6th Annual International Conference on Social Science and Contemporary Humanity Development

Title: Harnessing Swift Guanxi in SMEs: Exploring Trust and Purchase Intention on Social Commerce Platforms
Author(s): Johakim Katekele John; Xiaodong Qiu; Jerum William Kilumile
Journal: Journal of Theoretical and Applied Electronic Commerce Research

Conclusion

Professor Qiu Xiaodong’s academic and professional journey illustrates a dynamic blend of research excellence, educational leadership, and applied contributions to both national and global industries. His consistent engagement with multidisciplinary projects highlights his ability to address complex challenges in transportation, energy, and digital commerce. By integrating theoretical insights with practical applications, he has advanced the discourse on consumer behavior, marketing strategy, and enterprise management in the age of digital transformation. His strong publication record, international collaborations, and recognition through awards demonstrate his role as an influential researcher and educator. With a career dedicated to innovation, collaboration, and the advancement of management science, Professor Qiu stands out as a deserving nominee for prestigious research awards, reflecting both his past achievements and future potential.

Assoc. Prof. Dr. Le Yang | Neuromorphic Engineering | Best Researcher Award

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Assoc. Prof. Dr. Le Yang | Neuromorphic Engineering | Best Researcher Award

Teacher at Wuhan Institute of Technology, China

Dr. Le Yang is an accomplished associate professor whose research expertise spans memristor neuromorphic systems, embedded systems, and advanced circuit design. With over thirty academic papers, more than ten patents, and a record of guiding students to national and provincial competition success, Dr. Yang has established a reputation for impactful research and educational leadership. His contributions integrate innovation, mentorship, and practical application, making him a distinguished candidate for recognition in advanced research and technological development.

Professional Profile

Scopus Profile | ORCID

Education

Dr. Yang pursued a rigorous academic path that laid the foundation for his multidisciplinary expertise. Through formal training in electrical and electronic engineering, he developed deep technical skills that later expanded into neuromorphic computation and system design. His academic development included a blend of theory, experimentation, and application, ensuring that his expertise was not confined to traditional learning but extended toward innovation-driven research. This strong educational background has been critical in enabling his advancements in memristor-based systems, circuit architectures, and real-world applications in computational intelligence.

Experience

Over the course of his academic career, Dr. Yang has cultivated experience as both a researcher and educator. Serving as an associate professor, he has balanced teaching with impactful scholarly contributions. His guidance of students in highly competitive arenas such as the National Undergraduate Electronic Design Contest, Blue Bridge Cup IT Contest, and Embedded System Design Contest reflects his ability to mentor and inspire innovation. Under his leadership, students have achieved three National Second Prizes, two National Third Prizes, and numerous provincial awards, showcasing his ability to bridge theoretical knowledge with practical skill. Furthermore, his active participation in national experimental teaching case design competitions demonstrates his commitment to integrating cutting-edge methods into education, with his teams achieving national-level recognition.

Research Focus

Dr. Yang’s research primarily centers on the design and application of memristor-based neuromorphic systems. His work explores how memristors can emulate biological neural functions, advancing computational efficiency and functionality for artificial intelligence systems. He has contributed significantly to memristor crossbar circuit design, backpropagation neural networks, and associative memory models that replicate human-like learning behaviors. His investigations also include embedded system applications and advanced circuit design, which are crucial for both hardware innovation and neuromorphic computing development. With a focus on bridging theory with practice, his research enhances the potential of emerging technologies to address real-world challenges in artificial intelligence and intelligent system integration.

Awards & Honors

Dr. Yang’s academic excellence has been recognized through prestigious awards and competitive grants. In 2021, he was awarded the National Natural Science Foundation Youth Program Project, reflecting the national acknowledgment of his innovative contributions to memristor and neuromorphic system research. Additionally, his involvement in student mentoring has led to collective recognition, including multiple prizes at national contests and experimental teaching competitions. These honors highlight both his personal research excellence and his dedication to fostering the next generation of engineers and researchers. His recognition at multiple levels demonstrates a career built on both groundbreaking research and impactful educational mentorship.

Publication Top Notes

Title: Memristor-based circuit design of biological behavior chain
Author: Yang L, Cai R, Cheng M, Ding Z, Li S, Zeng Z
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers

Title: Memristor-based circuit design of BiLSTM network
Author: Yang L, Lei J, Cheng M, Ding Z, Li S, Zeng Z
Journal: Neural Networks

Title: Memristive crossbar-based circuit design of back-propagation neural network with synchronous memristance adjustment
Author: Yang L, Ding Z, Xu Y, Zeng Z
Journal: Complex & Intelligent Systems

Title: Circuit design of in-situ training memristive backpropagation neural network
Author: Yang L, Cheng M, Su T
Journal: AEU - International Journal of Electronics and Communications

Title: Memristor-based neural network circuit of full-function Pavlov associative memory with unconditioned response mechanisms
Author: Ding Z, Chen Z, Li S, Li Z, Yang L (corresponding author)
Journal: IEEE Transactions on Circuits and Systems I: Regular Papers

Title: A generalization and differentiation circuit implementation based on neural mechanisms
Author: Ding Z, Chen Z, Li S, Su T, Yang L (corresponding author)
Journal: IEEE Transactions on Nanotechnology

Title: Memristor crossbar-based Pavlov associative memory network for dynamic information correlation
Author: Yang L, Ding Z, Zeng Z
Journal: AEU - International Journal of Electronics and Communications

Title: An improved memristive current mirror circuit for continuous adjustable current output
Author: Cheng M, Yang L (corresponding author), Ding Z, Li S, Lei J
Journal: AEU - International Journal of Electronics and Communications

Title: Memristor-based circuit design of continuous adjustable direct-current voltage source
Author: Ding Z, Su T, Li S, Yang L (corresponding author)
Journal: International Journal of Circuit Theory and Applications

Title: An associative-memory-based reconfigurable memristive neuromorphic system with synchronous weight training
Author: Yang L, Zeng Z, Huang Y
Journal: IEEE Transactions on Cognitive and Developmental Systems

Conclusion

Dr. Le Yang’s distinguished academic journey reflects a combination of research innovation, educational leadership, and technological advancement. His work in memristor neuromorphic systems contributes to shaping the future of artificial intelligence hardware and computational intelligence. By successfully securing national-level funding, producing high-impact publications, authoring patents, and mentoring students to achieve excellence, he demonstrates a multifaceted commitment to advancing science and education. His contributions make him a strong candidate for recognition in research excellence, embodying the qualities of innovation, dedication, and global impact

Dr. Fatima Qasim | Control Systems & Optimization | Best Researcher Award

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Dr. Fatima Qasim | Control Systems & Optimization | Best Researcher Award

Researcher at National Institute of Standardization, Egypt

Dr. Fatima A. M. Kassem is a distinguished researcher in Mechanical Power Engineering whose academic and professional career reflects dedication, innovation, and impactful contributions to fluid mechanics, metrology, and environmental applications. With extensive experience at the National Institute of Standards in Egypt, she has developed expertise in volume and fluid flow laboratories, calibration, and aerodynamic systems. Her scholarly achievements, teaching experience, and active participation in international conferences and workshops underline her role as a leading figure in advancing engineering research and promoting scientific excellence.

Professional Profile

Scopus Profile 

Education

Dr. Fatima pursued her Bachelor of Engineering in Mechanical Power Engineering at Zagazig University, graduating with an excellent grade with honors, ranking first in her class. Her undergraduate project on the design of large-capacity cooling stores demonstrated early interest in applied thermodynamics and system optimization. She continued her academic journey with a Master of Science in Mechanical Power Engineering, producing a dissertation titled A Parametric Study of Performance of a Sonic Nozzle under Different Operating Conditions. Her research combined analytical rigor with practical experimentation. She completed her Ph.D. at Zagazig University with distinction, presenting her dissertation on A Metrological Study of Air Flow inside Buildings and its Applications, which linked airflow dynamics to practical applications in building design and environmental control. Her educational path consistently showcases academic excellence and strong technical foundations.

Experience

Her professional experience spans research and leadership roles, primarily at the National Institute of Standards in Egypt. She began as a researcher assistant at Zagazig Higher Institute of Engineering and Technology  before joining the National Institute of Standards. Over the years, she served as Assistant Researcher, Deputy Quality Manager for the Volume Lab, and Activity Manager for the Fluid Flow Lab. She has been serving as a Researcher at the same institute, actively contributing to advancements in fluid flow metrology and laboratory development. Her responsibilities have included calibration of gas and liquid flow meters, development of primary standards, training of technical staff, and oversight of ISO/IEC 17025 compliance. These roles reflect her expertise in bridging theoretical research with practical engineering solutions.

Research Focus

Dr. Kassem’s research interests lie in fluid dynamics, metrology, and environmental applications. She has contributed significantly to computational and experimental fluid mechanics, with emphasis on airflow measurement, sonic nozzle behavior, and aerodynamic testing in wind tunnels. Her research has expanded into environmental domains, focusing on airborne infection control, ventilation systems, and CO2 capture technologies as climate change mitigation strategies. With teaching expertise in advanced fluid mechanics, computational fluid dynamics, thermodynamics, and HVAC systems, she has also mentored future engineers while pursuing cutting-edge investigations. Her ability to connect aerodynamic studies with public health and environmental protection distinguishes her research portfolio.

Awards & Honors

Throughout her career, Dr. Kassem has been recognized for academic and research excellence. She graduated top of her class in both her bachelor’s and master’s studies, earning honors and commendations for her dissertations. Her Ph.D. also received an excellent evaluation, underscoring her scholarly impact. In addition, she has represented Egypt at major international conferences, including the Thirteenth International Conference of Fluid Dynamics and AFRIMETS General Assembly technical meetings. Her participation as both a speaker and attendee at international workshops on decarbonization, CO2 capture, and climate change adaptation further demonstrates her professional recognition on global platforms.

Publication Top Notes

Title: Calibration Nozzle Performance – State of The Art
Author: M. Shaalan, F. Kassem, R. Haggazy
Journal: The Egyptian International Journal of Engineering Sciences and Technology, Vol. 26, 2018

Title: Design and Performance Evaluation of a Portable Chamber for Prevention of Aerosol Airborne–Infection
Author: F.A. Kassem, A.F. AbdelGawad, A.E. Abuel-Ezz, M.M. Nassief, M. Adel
Journal: Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, Vol. 100(2), 2022 (Scopus)

Title: Performance evaluation of different texture material masks to reduce airborne infection
Author: F.A. Kassem, A.F. AbdelGawad, M.M. Nassief, A.A. El-Ezz, S.H. Samaha, M. Adel
Journal: CFD Letters, Vol. 15(7), 2023 (Scopus)

Title: Recent preventive methods to reduce the infection diseases by air distributions control
Author: F. Kassem, A.F. AbdelGawad, A.E. Abuel-Ezz, M.M. Nassief, M. Adel
Journal: Journal of Measurement Science and Application, Vol. 1(1), 2023

Title: Influence of ventilation to limit airborne infection concentration in an isolation room
Author: F.A. Kassem, A.F. AbdelGawad, A.E. El-Ezz, M.M. Nassief, M. Adel
Journal: Environment Protection Engineering, Vol. 49(2), 2023 (Scopus)

Title: Design and Performance Evaluation of an Open Loop Wind Tunnel at NIS
Author: F.A. Kassem, A.F. AbdelGawad, A.E. El-Ezz, M.M. Nassief, M. Adel
Journal: Journal of Metrology Society of India, 2024 (Scopus)

Title: Effects of different contraction nozzle designs of an open-loop wind tunnel on aerodynamic parameters
Author: F.A. Kassem
Journal: CFD Letters (Scopus)

Title: Reducing the water hammering, surges, and slamming caused by check valve closure in a wastewater pumping station by using a swing flex check valve
Author: Mohammed Adel, Fatima A.-M. Kassem, Ismail Fathy
Journal: Flow Measurement and Instrumentation (Scopus)

Title: Study of Effect of Convergence Section Geometric on The Performance of A Sonic Nozzle
Author: Fatima A.-M. Kassem, Ali A. Zahran, Mohammed Adel
Journal: Journal of Applied Fluid Mechanics (Scopus)

Title: Influence of Test Methods Accuracy on Conformity Assessment of Domestic Water Flow Meters
Author: Fatima A.-M. Kassem
Journal: Flow Measurement and Instrumentation, 2025

Title: Investigation of the effect of different throat diameters on the flow characteristics of a sonic nozzle
Author: F.A. Kassem
Journal: Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Conclusion

Dr. Fatima A. M. Kassem’s academic excellence, professional expertise, and impactful research position her as an outstanding nominee for recognition in research and innovation awards. Her career reflects a rare blend of technical mastery, innovative research, and international engagement. Through her extensive publications, leadership roles in laboratories, and participation in global scientific events, she has advanced both the theoretical and practical aspects of fluid dynamics, metrology, and environmental engineering. Her work has not only enriched academic knowledge but also contributed to real-world applications in public health, climate adaptation, and industrial metrology. With her commitment to scientific progress and societal benefit, she exemplifies the qualities of a distinguished researcher worthy of prestigious recognition.

Dr. Cangbi Ding | Grid Integration of Renewable Energy | Best Academic Researcher Award

Published on by Electrical Engineering

Dr. Cangbi Ding | Grid Integration of Renewable Energy | Best Academic Researcher Award

Doctoral candidate at Nanjing University of Aeronautics and Astronautics, China

Cangbi Ding is a dedicated doctoral candidate at the Nanjing University of Aeronautics and Astronautics, specializing in the field of automation and power systems. With a solid academic foundation and a growing portfolio of impactful research, he has emerged as a promising scholar in the areas of high-voltage direct current (HVDC) systems, renewable energy integration, and power system stability control. His work is marked by innovation, technical rigor, and contributions that bridge both academic inquiry and industrial practice, positioning him as a strong candidate for recognition in international research awards.

Professional Profile

Scopus | Google Scholar

Education

Cangbi Ding began his academic journey by earning a Bachelor of Science degree in automation from Southeast University Chengxian College. He advanced his studies by pursuing a Master of Science degree at Nanjing University of Posts and Telecommunications, where he graduated with a focus on electrical engineering applications and automation technologies. Building upon this strong foundation, he is currently pursuing a Doctor of Philosophy degree in the College of Automation Engineering at the Nanjing University of Aeronautics and Astronautics. His doctoral research emphasizes planning and control methodologies for HVDC systems, a field that plays a crucial role in enhancing the efficiency and resilience of modern power grids. This progression highlights his commitment to advancing knowledge in the field of power and energy systems.

Experience

Throughout his academic career, Cangbi Ding has accumulated extensive experience through his involvement in numerous national and industrial research projects. He has actively participated in four projects funded by the National Natural Science Foundation of China, in addition to contributing to thirteen technological and consulting initiatives supported by the State Grid Corporation of China and the China Southern Power Grid Company. These experiences have equipped him with practical insights into large-scale energy systems while also refining his ability to bridge theory with real-world application. His consultancy roles in the energy sector reflect his capacity to provide innovative solutions for power system stability, grid modernization, and renewable energy integration. This blend of academic research and industrial collaboration illustrates his versatility and practical relevance as a researcher.

Research Focus

Cangbi Ding’s research centers on the integration of renewable energy into existing power grids, with particular emphasis on the planning and control of HVDC systems. His investigations into reactive power compensation after renewable energy integration address critical challenges in maintaining voltage stability and economic efficiency in power networks. By introducing both static and dynamic voltage stability indicators, he has proposed staged compensation methods that improve both system safety and cost-effectiveness. Another significant contribution is his work on HVDC system evolution, where he developed evaluation methods to classify systems and analyze their operational characteristics. His research not only advances academic understanding but also provides actionable methodologies for improving energy transmission infrastructure in the context of growing renewable energy adoption.

Awards & Honors

While still in the early stages of his academic career, Cangbi Ding has built a commendable record of achievements that reflect his innovation and technical acumen. His involvement in nationally significant projects, combined with his success in patenting technological innovations, underscores his contributions to the field. He has secured twelve granted invention patents and one utility model patent, an extraordinary accomplishment for a young researcher. These recognitions illustrate his capacity to transform theoretical advancements into practical innovations, positioning him as a standout contributor to the future of electrical engineering and power systems research.

Publication Top Notes

Title: Adaptive frequency control strategy for PMSG-based wind power plant considering releasable reserve power
Authors: J Dai, C Ding, X Zhou, Y Tang
Journal: Sustainability 14 (3), 1247

Title: Deep reinforcement learning-based voltage control method for distribution network with high penetration of renewable energy
Authors: S Liu, C Ding, Y Wang, Z Zhang, M Chu, M Wang
Journal: 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 287-291

Title: Data-driven prediction of wind turbine blade icing
Authors: L Liu, D Guan, Y Wang, C Ding, M Wang, M Chu
Journal: 2021 China Automation Congress (CAC), 5211-5216

Title: Robust optimization method of power system multi resource reserve allocation considering wind power frequency regulation potential
Authors: J Dai, C Ding, C Yan, Y Tang, X Zhou, F Xue
Journal: International Journal of Electrical Power & Energy Systems 155, 109599

Title: An adaptive ufls scheme incorporating the impact of load response
Authors: W Zhu, C Ding, J Wu
Journal: 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 2617-2622

Title: An active power coordination control strategy for AC/DC transmission systems to mitigate subsequent commutation failures in HVDC systems
Authors: X Zhou, C Ding, J Dai, Z Li, Y Hu, Z Qie, F Xue
Journal: Electronics 10 (23), 3044

Title: Research on the multi-timescale optimal voltage control method for distribution network based on a DQN-DDPG algorithm
Authors: M Ma, W Du, L Wang, C Ding, S Liu
Journal: Frontiers in Energy Research 10, 1097319

Title: Optimal Configuration Method for Multi-Type Reactive Power Compensation Devices in Regional Power Grid with High Proportion of Wind Power
Authors: Y Wang, J Dang, C Ding, C Zheng, Y Tang
Journal: Energy Engineering 121 (11)

Title: Research on the Optimal Configuration of Regional Integrated Energy System Based on Production Simulation
Authors: T Shi, RM Huang, CB Ding
Journal: Processes 8 (8), 892

Title: Research on The Fault Diagnosis Method of Oil-Immersed Transformers Based on The Improved DBSCAN Algorithm
Authors: W Cui, M Chu, C Ding, Y Wang, M Wang, L Liu
Journal: 2021 China Automation Congress (CAC), 5171-5176

Title: Voltage Interaction Evaluation in Embedded DC Transmission System
Authors: C Ding, C Zheng, Y Tang, C Zhang, X Han
Journal: Journal of Modern Power Systems and Clean Energy

Title: Cooperative Operation Control Strategy of Multi-Type Reactive Power Compensation Devices in Regional Power Grid with High Proportion of Wind Power
Authors: J Xu, Y Shen, K Li, X Wang, C Zheng, C Ding
Journal: 2024 6th International Conference on Electrical Engineering and Control

Title: Key Parameters Optimization Method of Wind Turbine Reactive Power Support Considering Power Angle Stability and Short-Circuit Current
Authors: J Xu, Y Shen, K Li, X Wang, C Zheng, C Ding
Journal: 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference

Title: Coordinated CFPREV Control for Cascading Commutation Failure Mitigation in Multi-infeed HVDC Systems
Authors: J Xu, K Li, Y Shen, X Wang, C Zheng, C Ding
Journal: 2023 2nd Asia Power and Electrical Technology Conference (APET), 131-138

Title: Cooperative Reactive Power Configuration of Hybrid HVDC Transmission System for Offshore Wind Farm Clusters
Authors: Y Lin, Y Tang, W Wu, C Ding, C Zheng, Y Tang
Journal: 2023 IEEE 7th Conference on Energy Internet and Energy System Integration

Title: Research on Equivalent Modeling of Wind Farm Based on Error Correction Method
Authors: J Dai, C Ding, L Liu
Journal: 2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)

Title: Optimal Scheduling Analysis of Wind Farm Group Considering False Data Injection Attack
Authors: J Wu, C Ding, W Zhu
Journal: 2022 34th Chinese Control and Decision Conference (CCDC), 5433-5439

Title: Research on HVDC Subsequent Commutation Failure Suppression Strategy Considering Energy Storage Phase Modulation Operation
Authors: C Ding, W Zhu, S Liu, W Cui, Z Zhang, J Wu
Journal: 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 1177-1182

Conclusion

Cangbi Ding’s academic journey and research accomplishments exemplify a blend of scholarly rigor, innovation, and practical relevance. With a foundation of strong academic training, significant project involvement, and a growing portfolio of publications and patents, he has already established himself as a promising researcher in electrical engineering. His focus on HVDC systems and renewable energy integration directly addresses pressing global challenges in energy sustainability and grid modernization. By translating complex theoretical concepts into practical solutions, he demonstrates the capacity to shape the future of power systems. His achievements make him an outstanding nominee for recognition in research excellence awards, reflecting his potential to continue contributing groundbreaking work to the advancement of electrical engineering.

Dr. Ali Almaktoof | Power Systems | Best Academic Researcher Award

Published on by Electrical Engineering

Dr. Ali Almaktoof | Power Systems | Best Academic Researcher Award

Senior Lecturer at Cape Peninsula University of Technology, South Africa

Ali Almaktoof is an accomplished researcher and academic recognized for his significant contributions in electrical and electronics engineering. His work integrates cutting-edge research, teaching excellence, and professional achievements, making him a leading candidate for distinguished recognition. With a career marked by impactful publications, international collaborations, and recognition in professional forums, he has demonstrated a consistent commitment to advancing scientific knowledge and technological innovation. His achievements reflect a balance of academic rigor, research innovation, and dedication to engineering education and applied science.

Professional Profile

ORCID | Google Scholar

Education

Ali Almaktoof pursued his Bachelor of Science in Electrical Engineering from the University of Basrah, Iraq, where he established a strong foundation in power systems and electrical design. He later advanced his education by obtaining a Master of Science in Power Systems Engineering from the same university, focusing on the reliability and efficiency of modern power systems. Furthering his academic journey, he earned his Ph.D. in Electrical and Electronics Engineering from Universiti Teknologi Malaysia (UTM). His doctoral studies emphasized power electronics, renewable energy integration, and advanced system modeling, equipping him with the knowledge to contribute significantly to global energy research. His academic trajectory underscores a deep commitment to continuous learning and specialization in energy technologies and electrical systems.

Experience

Ali Almaktoof has accumulated a diverse academic and professional background. He has served as a lecturer and assistant professor in the Department of Electrical Engineering at the University of Basrah, where he has taught a wide range of courses in power systems, electronics, and renewable energy technologies. His teaching experience has allowed him to mentor undergraduate and postgraduate students, fostering future generations of engineers and researchers. He has also engaged in collaborative research projects with international institutions, highlighting his global outlook and capacity to work across borders. His experience includes supervising theses, developing advanced research methods, and contributing to the modernization of engineering curricula. This combination of academic teaching, research supervision, and international collaboration demonstrates his holistic expertise.

Research Focus

Ali Almaktoof’s research is centered on power electronics, renewable energy systems, and smart grid technologies. He has particularly emphasized the integration of renewable energy sources, such as solar and wind, into modern electrical grids, addressing critical challenges in energy efficiency, stability, and sustainability. His work also explores power converters, fault diagnosis, and system optimization, contributing to the advancement of reliable and green energy technologies. His research has broad implications for sustainable development, offering innovative solutions that support the global transition toward cleaner energy systems. His interdisciplinary approach links engineering principles with real-world applications, reinforcing the societal impact of his contributions.

Awards & Honors

Throughout his career, Ali Almaktoof has received numerous awards and recognitions. He has been honored for his outstanding research contributions in electrical engineering, with distinctions acknowledging his innovative publications and active participation in academic conferences. His recognition extends to professional memberships and leadership roles in engineering societies, where he has contributed to the dissemination of knowledge and promotion of research excellence. These honors underscore his academic reputation and highlight his standing as a respected researcher and educator. His consistent recognition across local and international platforms reflects both the depth and breadth of his impact.

Publication Top Notes

Title: Between Addiction and Immersion: A Correlational Study of Digital and Academic Behaviour Among Engineering Students
Authors: M Ben Hkoma, A Almaktoof, A Rugbani
Journal: Education Sciences

Title: The principles of energy conservation by managing facility voltage levels and reactive power flow
Authors: PK Ngongo, AMA Almaktoof, MTE Kahn
Journal: Smart Energy

Title: Exploring Review of Advancements in Fast‐Charging Techniques and Infrastructure for Electric Vehicles Revolution
Authors: A Zentani, AM Almaktoof, MTE Kahn
Journal: Energy Science & Engineering

Title: Practical Approach to Enhance Energy Resilience in Manufacturing Facilities
Authors: PK Ngongo, AMA Almaktoof, MTE Kahn
Journal: Energy Science & Engineering

Title: Real‐Time Energy Management System for a Hybrid Renewable Microgrid System
Authors: CN Bipongo, M Adonis, A Almaktoof
Journal: Energy Science & Engineering

Title: PV Power Output Prediction Using Deep Learning
Authors: AAKAAE Thomas Lionel Makosso
Journal: International Journal of Applied Engineering & Technology

Title: Development of a VLF receiver for lightning detection, and monitoring natural & man-made electromagnetic emissions in the VLF band
Authors: W Hansen, A Almaktoof
Journal: Innovation and Technological Advances for Sustainability

Title: Mitigating energy poverty in sub-Saharan Africa through smart metering and sustainable energy access programs
Authors: B Bacar, A Almaktoof
Journal: Innovation and Technological Advances for Sustainability

Title: The design and analysis of an advanced hybrid renewable energy microgrid for Cyangugu Remote rural community in Rwanda using Homer Pro
Authors: A Asiegbu, A Almaktoof, M Adonis
Journal: Innovation and Technological Advances for Sustainability

Title: Integration of artificial neural network in a IEEE 5 bus system
Authors: TL Makosso, A Almaktoof, K Abo-Al-Ez
Journal: International Journal of Electrical Engineering and Applied Sciences

Title: Review of different types of neural network architectures
Authors: TL Makosso, A Almaktoof, K Abo-Al-Ez
Journal: International Journal of Electrical Engineering and Applied Sciences

Title: Basic Circuit Model of Voltage Source Converters: Methodology and Modeling
Authors: CB Ndeke, M Adonis, A Almaktoof
Journal: AppliedMath

Title: A comprehensive review of developments in electric vehicles fast charging technology
Authors: A Zentani, A Almaktoof, MT Kahn
Journal: Applied Sciences

Title: Enhancing Agricultural Practices Through IoT: A Dual-Modality Approach for Network Resilience and User Engagement
Authors: A Bello, A Almaktoof
Journal: IEEE 4th International Maghreb Meeting of the Conference on Sciences

Title: Control Technique of MPPT Utilizing for Boost Converter Applied to Small Renewable Energy System and a DC Microgrid for Remote Area
Authors: A Zentani, A Almaktoof, MTE Kahn
Journal: IEEE 4th International Maghreb Meeting of the Conference on Sciences

Title: Comprehensive Review and Applications of Power Electronic Transformer for Optimal Power Integration
Authors: A Asiegbu, A Almaktoof
Journal: IEEE 4th International Maghreb Meeting of the Conference on Sciences

Title: A Comprehensive Review of Electric Vehicles Fast Charging Developments and Technology
Authors: AT Zentani, AMA Almaktoof, MTE Kahn
Journal: Preprints

Title: Energy management strategy for dc micro-grid system with the important penetration of renewable energy
Authors: CB Ndeke, M Adonis, A Almaktoof
Journal: Applied Sciences

Title: Green hydrogen: A clean energy solution for Germany's transportation sector
Authors: AD Asiegbu, MTE Kahn, AM Almaktoof
Journal: SAIEE Africa Research Journal

Conclusion

Ali Almaktoof’s career exemplifies excellence in education, research, and professional service. His strong academic background, combined with significant teaching and supervisory experience, highlights his role in shaping the future of electrical engineering. His research has addressed pressing global issues in renewable energy and sustainable power systems, reflecting a commitment to both scientific advancement and societal benefit. Recognized through awards, honors, and a robust publication record, his contributions underscore his leadership and innovation in electrical engineering. As a nominee for an award, his profile reflects the qualities of a distinguished academic researcher who continues to inspire progress in science and technology.

Shengkun Liao | Robotics & Autonomous Systems | Best Academic Researcher Award

Published on by Electrical Engineering

Mr. Shengkun Liao | Robotics & Autonomous Systems | Best Academic Researcher Award

Shengkun Liao Of Tianjin University of Technology and Education, China

Shengkun Liao is an accomplished graduate student at Tianjin University of Technology and Education, specializing in the development and optimization of intelligent vehicle technologies and new energy vehicle systems. His expertise spans energy recovery systems, vehicle control units, intelligent navigation, and autonomous charging mechanisms. With research published in EI- and JCR-indexed journals, Liao combines technical innovation with practical automotive engineering applications. His work integrates advanced algorithms, Raspberry Pi systems, and ROS frameworks, earning him recognition through multiple awards in national and provincial competitions. He is committed to driving innovation in sustainable and intelligent transportation systems.

Professional Profile

ORCID 

Education

Liao is currently pursuing graduate-level studies at Tianjin University of Technology and Education, where he has built a solid academic foundation in electrical, mechanical, and computational engineering aspects of vehicle systems. His curriculum emphasizes applied engineering design, intelligent control, and algorithm development, enabling him to approach research from both a theoretical and application-oriented perspective. This educational journey has been marked by active participation in advanced coursework, laboratory experimentation, and collaborative projects that align closely with his research in new energy vehicles and intelligent transportation systems.

Experience

In his academic career, Liao has focused on projects that merge cutting-edge computational methods with practical engineering applications. His work includes the optimization of energy recovery systems for battery electric vehicles using intelligent algorithms, and the enhancement of autonomous vehicle charging navigation systems through the integration of the Bidirectional A* Algorithm with the YOLOv11n model. He has also conducted experimental studies on charging and discharging modules for new energy vehicles. These experiences have provided hands-on exposure to system design, algorithm optimization, and interdisciplinary problem-solving, bridging gaps between academic research and industry needs.

Research Focus

Liao’s research is centered on advancing the performance, efficiency, and autonomy of new energy vehicles. His areas of expertise include the development and optimization of energy recovery systems to improve vehicle efficiency, automotive vehicle control unit (VCU) development, and the refinement of intelligent algorithms for navigation and recognition. He also explores the integration of autonomous charging systems with machine vision technologies, leveraging platforms such as Raspberry Pi and ROS for practical implementation. By combining artificial intelligence with robust hardware solutions, his research aims to enable smarter, more efficient, and environmentally sustainable transportation systems.

Awards & Honors

Liao has been recognized for his innovative research and technical achievements through multiple national and provincial awards in engineering and innovation competitions. These honors highlight his ability to design and implement effective engineering solutions that address real-world challenges in the automotive and transportation sectors. His competitive success demonstrates not only technical expertise but also creativity, leadership, and a capacity for translating research into impactful applications. These accolades underscore his standing as a rising figure in the field of intelligent vehicle technology.

Publication Top Notes

Title: Optimization of the Energy Recovery System for Battery Electric Vehicles Based on Intelligent Algorithms
Authors: S Liao
Journal: International Journal of Vehicle Design and Intelligent Systems

Title: Optimization of a Navigation System for Autonomous Charging of Intelligent Vehicles Based on the Bidirectional A* Algorithm and YOLOv11n Model
Authors: S Liao
Journal: Journal of Intelligent Transportation and Automation

Title: Experimental Study on the Charging and Discharging Module of New Energy Vehicles
Authors: S Liao
Journal: Journal of Advanced Automotive Engineering

Conclusion

Through a combination of strong academic preparation, innovative research, and recognized achievements, Liao has established himself as an emerging leader in intelligent transportation and new energy vehicle technology. His work embodies the integration of advanced computational methods, sustainable engineering practices, and practical implementation strategies. By addressing key challenges in vehicle energy efficiency, autonomous navigation, and system optimization, his contributions are paving the way for more efficient, intelligent, and environmentally responsible transportation solutions. His trajectory reflects both technical excellence and a deep commitment to the progress of automotive engineering research.

Xubin Liu | Smart Grids and Microgrids | Young Scientist Award

Published on by Electrical Engineering

Assist. Prof. Dr. Xubin Liu | Smart Grids and Microgrids | Young Scientist Award

Associate Professor of  Central South University, China

Xubin Liu is an accomplished scholar and researcher in electrical engineering, specializing in integrated energy systems, renewable energy integration, power system optimization, and microgrid control. Currently serving as an Associate Professor at the School of Automation, Central South University, he has made significant contributions to advancing low-carbon energy systems, fault ride-through strategies, voltage-frequency support mechanisms, and intelligent dispatching methods. His work bridges cutting-edge theory and practical solutions, with over thirty high-impact publications in leading IEEE and international journals.

Professional Profile

ORCID 

Education

Liu earned his Ph.D. in Electrical Engineering from the College of Electrical and Information Engineering at Hunan University, ranking first in his cohort. During his doctoral studies, he undertook a joint Ph.D. training program at the State Key Laboratory of Power Systems at Tsinghua University, where he collaborated with renowned experts in the field. He previously obtained his Bachelor of Science degree in Electrical Engineering from Northwest University for Nationalities, graduating top of his class. His academic training encompassed advanced power system analysis, optimal operation and planning, power electronics, high-voltage testing, control theory, and microcomputer applications, forming the technical foundation for his later research innovations.

Experience

Following his doctoral work, Liu completed a postdoctoral fellowship at the School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, focusing on advanced control methods and renewable energy integration under the mentorship of distinguished national talent program scholars. Since 2021, he has been an Associate Professor at Central South University, contributing to both academic leadership and the Hunan Provincial Key Laboratory of Power Electronics Equipment and Grid. His career also includes substantial participation in national and international research collaborations, including the National High Technology Research and Development Program (863 Program), Sino-US international cooperation projects, and key R&D initiatives funded by the energy industry.

Research Focus

Liu’s research addresses the challenges of integrating renewable energy sources into complex power and heat networks. He has developed high-resolution mixed-integer linear programming models to optimize integrated energy systems, enabling large-scale wind energy utilization. His work spans low-carbon energy systems, time-scale adaptive dispatch, unit commitment, and hybrid control strategies for multi-microgrid coordination. He has also contributed significantly to voltage support in active distribution networks, fault current limitation for wind farms and microgrids, renewable forecasting using deep learning, and advanced energy storage control. His studies often combine rigorous mathematical optimization, intelligent algorithms, and power electronics control techniques, ensuring practical applicability for real-world systems.

Awards & Honors

Liu has been widely recognized for his academic excellence and research impact. His distinctions include the Outstanding Doctoral Graduate Award of Hunan Province, the Third Prize of Science and Technology Progress from the China Electrotechnical Society, and multiple National Scholarships for both undergraduate and doctoral studies. He has also received top honors in competitions such as the National Undergraduate Electrical Engineering Mathematical Modeling Competition and the National College Students’ Mathematics Competition. His early achievements in software design and development earned him provincial prizes, reflecting his longstanding technical aptitude and innovation.

Publication Top Notes

Title: Frequency-Voltage Synergy Support Method based on Grid Strength for VSC-MTDC Integrated Distributed Offshore Wind Farms
Authors: Xubin Liu, Nanxing Huang, Yuan Liu, Liang Yuan, Mei Su, Canbing Li, Xinyu Chen, Guangming Zhu, Zhaoyang Dong
Journal: IEEE Transactions on Power Systems, 2025, 40(4): 3543-3562

Title: A Coordinated Voltage-Frequency Support Method for VSC-MTDC Integrated Offshore Wind Farms System
Authors: Xubin Liu, Wei Han, Yonglu Liu*, Zhangjie Liu, Mei Su, Canbing Li, Xin Zhang, Peng Wang
Journal: IEEE Transactions on Power Systems, 2024, 39(1): 1485-1502

Title: Fault Current Unified Calculation Method for Whole Process Fault Ride-Through of DFIG-Based Wind Farms
Authors: Xubin Liu, Zijian Zhang, Yonglu Liu, Zhangjie Liu*, Mei Su, Canbing Li*, Leijiao Ge, Xin Zhang, Peng Wang
Journal: IEEE Transactions on Smart Grid, 2024, 15(1): 485-503

Title: Active Fault Current Limitation for VSC-MTDC Integrated Offshore Wind Farms Participating in Frequency Regulation
Authors: Xubin Liu, Wei Han, Zhangjie Liu*, Hua Han, Mei Su, Canbing Li, Leijiao Ge, Xin Zhang, Peng Wang
Journal: IEEE Transactions on Sustainable Energy, 2024, 15(2): 773-788

Title: Fault Current Multi-Stages Calculation Method for DFIG-Based Wind Farms With Whole Fault Process Attributes Under Asymmetrical Grid Fault Conditions
Authors: Xubin Liu, Zijian Zhang, Yonglu Liu, Liang Yuan, Mei Su, Feng Zhou*, Canbing Li, Jianzhe Liu, Xin Zhang, Peng Wang
Journal: IEEE Transactions on Sustainable Energy, 2024, 15(4): 2361-2379

Title: Fault Current Hierarchical Limitation Strategy for Fault Ride-Through Scheme of Microgrid
Authors: Xubin Liu, Canbing Li, Mohammad Shahidehpour, Yunpeng Gao*, Bin Zhou, Yongjun Zhang, Jun Yi, Yijia Cao
Journal: IEEE Transactions on Smart Grid, 2019, 10(6): 6566-6579

Title: Fault Current Mitigation and Voltage Support Provision by Microgrids with Synchronous Generators
Authors: Xubin Liu, Canbing Li*, Mohammad Shahidehpour, Xinyu Chen, Jun Yi, Qiuwei Wu, Kai Sun, Bin Zhou
Journal: IEEE Transactions on Smart Grid, 2020, 11(4): 2816-2831

Title: Multi-Stage Voltage Support Optimization for Microgrids with Multiple Distributed Generation Units
Authors: Xubin Liu, Xinyu Chen, Canbing Li*, Mohammad Shahidehpour*, Kai Sun, Yijia Cao, Chen Chen, Bin Zhou
Journal: IEEE Transactions on Smart Grid, 2021, 12(1): 141-156

Title: Active Fault Current Limitation for Low-Voltage Ride-Through of Networked Microgrids
Authors: Xubin Liu, Xinyu Chen*, Mohammad Shahidehpour, Canbing Li*, Qiuwei Wu, Yuhang Wu, Jinyu Wen
Journal: IEEE Transactions on Power Delivery, 2022, 37(2): 980-992

Title: SoC Threshold Optimization for Battery Storage in Frequency Regulation Considering Uncertainty of SoC Measurement and Automatic Generation Control Fatigue Loss of Thermal Power System
Authors: Xubin Liu, Xin Xu, Qiuwei Wu*, Xia Chen, Jinyu Wen, Wei Wang, Kejie Zhang, Canbing Li, Xinyu Chen*
Journal: International Journal of Electrical Power and Energy Systems, 2022, 137: 107771

Conclusion

Through a blend of technical expertise, innovative research, and collaborative engagement, Xubin Liu has established himself as a leading figure in modern electrical engineering and renewable energy integration. His achievements reflect a career dedicated to solving pressing energy challenges while promoting sustainable, intelligent power systems. The breadth and depth of his contributions—from foundational modeling to practical control strategies—demonstrate his capability to influence both academic discourse and industrial practice. His recognition through awards, extensive publications, and leadership roles underscores his suitability for distinguished academic honors.