Prof. Dr Lijun Wang | Complex Equipment | Best Researcher Award |

Prof. Dr Lijun Wang | Complex Equipment | Best Researcher Award |

North China University of Water Resources and Electric Power,China

Professional Profiles:

SCOPUS

 👨‍🎓 Bio Summary:

Prof. Dr. Lijun Wang is a distinguished academic and researcher, currently serving as the Dean of the School of Mechanical Engineering at North China University of Water Resources and Electric Power. She is an esteemed leader in Henan Province, recognized as a key figure in scientific and technological innovation. Dr. Wang’s research focuses on fault detection and diagnosis, optimization design of control strategies, and the health management of mechanical equipment, particularly in the context of water conservancy and hydrogen energy systems. She has led over 20 major projects, including national and provincial-level initiatives, and has authored more than 60 papers, with over 30 indexed in SCI and EI. Dr. Wang holds more than 40 patents and has received numerous awards, including Henan Province’s Scientific and Technological Progress Awards. A dedicated educator, she has been honored as a “Famous Teacher” in Henan and has guided many students to success. Her work continues to advance the fields of mechanical engineering, clean energy, and digital twin technologies.

🎓 Educational Background:

Prof. Dr. Lijun Wang holds a Ph.D. in Mechanical Engineering and is currently serving as the Dean of the School of Mechanical Engineering at North China University of Water Resources and Electric Power. She is also recognized as an academic and technical leader in Henan Province, China. Her educational background and expertise have paved the way for her significant leadership roles in the academic community.

🔍 Research Focus:

Dr. Wang’s research primarily centers around fault detection and diagnosis, optimization design of control strategies, and the comprehensive operation and maintenance of mechanical equipment. Her work is especially focused on equipment used in water conservancy production and hydrogen energy systems. She has made significant contributions in optimizing production plans, ensuring equipment health through digital twins, and enhancing mechanical systems with advanced diagnostic methods, including artificial intelligence. Her research also covers hydrogen fuel cells and their applications in internal combustion engines.

🏆 Honors & Awards:

Prof. Dr. Wang has been recognized with numerous prestigious awards and honors throughout her career. These include titles such as “Central Plains Leading Talent of Henan Province” and “Outstanding Young Person in Henan Province’s Scientific and Technological Innovation.” She has received several provincial and national awards for her scientific achievements, including three third prizes and one second prize in Henan Province’s Scientific and Technological Progress Awards. Dr. Wang is also the recipient of the First Prize for Scientific and Technological Achievement in Henan Province for her research in clean energy power systems for vehicles.

💼 Professional Experience:

With extensive leadership roles, Dr. Wang has significantly contributed to both the academic and industrial sectors. She is the Director of Henan Mechanical Engineering Society and Henan Instrument and Control Society, where she plays a vital role in advancing mechanical engineering research. As the head of various scientific and technological innovation teams, she leads cutting-edge projects on hydrogen energy, fuel cells, and mechanical systems. Dr. Wang’s leadership extends beyond research into education, where she is recognized as a Famous Teacher and the leader of teaching teams within Henan Province’s universities.

📚 Top Noted Publications :

Enhancing Collaborative PHM of Complex Equipment: A MBSE Approach for PEMFC Health Management Systems
Authors: Wang, L., Li, X., Wang, C., Song, X., Cheng, R.
Journal: International Journal of Hydrogen Energy
Year: 2024
Volume: 94, Pages: 1361–1373
Citations: 0
Index: Open Access

A Method for Predicting Remaining Useful Life Using Enhanced Savitzky–Golay Filter and Improved Deep Learning Framework
Authors: Li, X., Wang, L., Wang, C., Xu, D., Cheng, R.
Journal: Scientific Reports
Year: 2024
Volume: 14(1), Article No.: 23983
Citations: 0
Index: Open Access

Kinematics and Spatial Structure Analysis of TBM Gunite Robot Based on D–H Parameter Method
Authors: Jia, L., Liu, S., Cao, C., Xu, D., Cheng, R.
Journal: Scientific Reports
Year: 2024
Volume: 14(1), Article No.: 13649
Citations: 1

Multi-objective Optimization Analysis of Hydrogen Internal Combustion Engine Performance Based on Game Theory
Authors: Yang, Z., Guo, P., Wang, L., Hao, Q.
Journal: Applied Energy
Year: 2024
Volume: 374, Article No.: 123946
Citations: 1

Core-bishell NiFe@NC@MoS2 for Boosting Electrocatalytic Activity Towards Ultra-efficient Oxygen Evolution Reaction
Authors: Yan, Z., Guo, S., Li, C., Wang, Y., Li, B.
Journal: Journal of Colloid and Interface Science
Year: 2024
Volume: 674, Pages: 823–833
Citations: 3

Conclusion:

Dr. Lijun Wang is an exemplary candidate for the Best Researcher Award due to her exceptional leadership, groundbreaking research contributions, and dedication to advancing both academia and industry. Her achievements in fault detection, energy optimization, and digital twin technology are crucial in driving innovation, particularly in the fields of hydrogen energy and mechanical engineering. With continued focus on enhancing international collaborations and interdisciplinary research, Dr. Wang is poised to make even greater contributions to her field and society.

Dr Hafiz Ghulam Murtza Qamar | Microgrids | Best Researcher Award |

Dr. Hafiz Ghulam Murtza Qamar | Microgrids | Best Researcher Award |

YANSHAN University,China

Professional Profiles:

SCOPUS

ORCID

 👨‍🎓 Bio Summary:

Dr. Hafiz Ghulam Murtza Qamar is a distinguished academic and researcher specializing in electrical engineering, with expertise in teaching, research, and administrative roles. Committed to advancing organizational goals through technical and engineering innovation, he combines a strong academic background with leadership skills and a passion for scientific discovery. Dr. Qamar excels in laboratory management, curriculum development, and providing professional consultancy services, while maintaining an impressive record of academic achievements and recognition.

🎓 Educational Background:

Dr. Qamar is currently completing his Ph.D. in Electrical Engineering from Yanshan University, China, boasting an impressive CGPA of 4.31/4.50. He earned his MS in Electrical Engineering from the University of Lahore, achieving a distinction with a CGPA of 3.75/4.00, and completed his BS in Electrical Power Engineering from COMSATS Abbottabad with a CGPA of 3.47/4.00. His strong academic foundation underscores his dedication to knowledge and excellence in his field.

🔍 Research Focus:

Dr. Qamar’s research interests lie in electrical power systems, energy distribution, and the development of innovative solutions for efficient energy management. He actively engages in research to address contemporary challenges in power systems, ensuring sustainable and practical advancements in the field.

🏆 Honors & Awards:

🏆 Gold Medal (2015) for achieving academic distinction in his MS degree.

🥇 Provincial Scholarship Award (2023) from Hebei Province, China, recognizing his exceptional performance during his Ph.D. studies.

🌟 Top Faculty Award (2022) at the University of Sargodha, celebrating his excellence in teaching and academic leadership.

💼 Professional Experience:

Dr. Qamar has served as an Assistant Professor and Lab Manager at the University of Sargodha since 2019, leading teaching efforts, laboratory management, and technical projects. Previously, he was the Department Head at the same university, overseeing academic programs and administrative tasks. He also contributed to teaching and research as an Assistant Professor at the University of Lahore (2013–2017). Early in his career, he gained industry experience as an Assistant Manager at WD Engineering and Construction, specializing in power line maintenance and distribution systems.

📚 Top Noted Publications :

Title: Intelligent Energy Management System of Hydrogen-Based Microgrid Empowered by AI Optimization Technique
Authors: Qamar, H.G.M., Guo, X., Ahmad, F.
Citations: 0
Index: Renewable Energy
Year of Publication: 2024

Title: A Novel Approach to Energy Management with Power Quality Enhancement in Hydrogen-Based Microgrids through Numerical Simulation
Authors: Qamar, H.G.M., Guo, X., Ghith, E., Tlija, M.
Citations: 0
Index: Applied Sciences (Switzerland)
Year of Publication: 2024

Title: Enhancing Load Frequency Control of Interconnected Power System Using Hybrid PSO-AHA Optimizer
Authors: Younis, W., Yameen, M.Z., Tayab, A., Ghith, E., Tlija, M.
Citations: 0
Index: Energies
Year of Publication: 2024

Title: EMG Gesture Signal Analysis Towards Diagnosis of Upper Limb Using Dual-Pathway Convolutional Neural Network
Authors: Qamar, H.G.M., Qureshi, M.F., Mushtaq, Z., Gu, Y.H., Al-Masni, M.A.
Citations: 2
Index: Mathematical Biosciences and Engineering
Year of Publication: 2024

Conclusion:

Hafiz Ghulam Murtza Qamar exhibits strong academic credentials, extensive teaching experience, and a notable drive for research excellence, making him a competitive candidate for the Best Researcher Award. His awards for academic distinction, top faculty recognition, and multifaceted skillset highlight his contributions to academia and research.