Assist. Prof. Dr.Muhammad Umar Javed | Smart Mobility | Best Researcher Award

Assist. Prof. Dr.Muhammad Umar Javed, University of South Asia, Pakistan

Dr. Muhammad Umar Javed is a dedicated computer science researcher specializing in artificial intelligence, data science, and blockchain. He earned his Ph.D. in Computer Science from COMSATS University Islamabad, where his research focused on enhancing energy efficiency in electric vehicles within smart grids using blockchain technology. Holding an MS and BS in Electrical Engineering from Government College University, Lahore, his academic journey has been centered on innovative solutions for energy systems, including cost-effective photovoltaic implementations and mitigating electricity theft in power grids. With 31 research publications spanning journals and conferences, Dr. Javed is committed to advancing technological innovation in smart energy systems, AI-driven optimization, and blockchain applications.

Professional Profile:

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Summary of Suitability for Best Researcher Award:

Dr. Muhammad Umar Javed is a highly qualified and prolific researcher in the fields of Artificial Intelligence, Data Science, and Blockchain. His research contributions focus on the application of blockchain technology in energy-efficient smart grids, electric vehicle energy trading, and cybersecurity for distributed systems.

🎓 Education

Ph.D. in Computer Science (2018-2023) – COMSATS University Islamabad, Pakistan
📌 Thesis: Making Electric Vehicles Energy Efficient in Smart Grids using Blockchain
MS in Electrical Engineering (2015-2018) – Government College University, Lahore, Pakistan
📌 Thesis: Cost-Effective Implementation of Large-Scale Photovoltaic Systems in Pakistan
BS in Electrical Engineering (2010-2014) – Government College University, Lahore, Pakistan
📌 Final Year Project: Mitigating Electricity Theft in the Power Grids

💼 Work Experience

Computer Science Researcher – Expert in AI, Data Science & Blockchain
- Focused on blockchain applications for smart grids and electric vehicles
- Extensive experience in developing AI-driven solutions
Academic Contributor & Researcher – Published 31 research articles
- Contributions to peer-reviewed journals and conference proceedings
- Research focus: Artificial Intelligence, Blockchain, Smart Energy Systems

🏆 Achievements & Contributions

✅ Developed AI-powered blockchain solutions for energy-efficient electric vehicles
✅ Contributed to smart grid advancements using decentralized ledger technology
✅ Published 31 research papers in prestigious journals and conferences

🏅 Awards & Honors

🥇 Best Research Contribution Award for work on AI & Blockchain in Smart Grids
🏆 Top Cited Researcher Recognition for impactful publications
🎖 Outstanding Academic Performance Award during Ph.D. studies
🎓 Postgraduate Research Scholarship for academic excellence

Publication Top Notes:

A Blockchain-Based Load Balancing in Decentralized Hybrid P2P Energy Trading Market in Smart Grid

CITED:197

Blockchain-Based Secure Data Storage for Distributed Vehicular Networks

CITED:160

Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids

CITED:115

Blockchain Based Data and Energy Trading in Internet of Electric Vehicles

CITED:106

An adaptive synthesis to handle imbalanced big data with deep siamese network for electricity theft detection in smart grids

CITED:77

Assoc. Prof. Dr Zhonghe He, North China University of Technology, China

Dr. He Zhonghe is an Associate Professor and postgraduate supervisor with extensive expertise in urban traffic management and control. His research interests focus on urban road traffic state estimation, traffic network modeling and signal control, multi-mode traffic operation evaluation, and public transport vehicle risk monitoring. Dr. He has led 15 projects funded by the National Natural Science Foundation, the National Key Research and Development Plan, and various enterprises, contributing to key innovations in road network balance control, state estimation from traffic data, and video monitoring of public transport. Notably, he developed a traffic signal control system based on an information physical system, enabling closed-loop control from perception to execution. He also pioneered a bus vehicle video monitoring system for identifying and warning abnormal behavior among drivers and passengers, and a vehicle terminal system for remote risk monitoring. His research outcomes have been successfully applied in cities like Beijing, Shandong, Yunnan, and Xinjiang. Dr. He has received four science and technology progress awards, published over 40 papers in SCI/EI journals and conferences, and contributed to a monograph on his field.

Suitability for Best Researcher Award: He Zhonghe

Dr. He Zhonghe is highly qualified and an excellent candidate for the Best Researcher Award, as demonstrated by his extensive contributions to the field of urban traffic management and public transport monitoring. Below is a summary of his key accomplishments and attributes that support his suitability for this prestigious award.

Work Experience:

Associate Professor at [Institution Name] (specific university details not provided), where he has been actively involved in research and postgraduate supervision. His academic work focuses on urban traffic state estimation, traffic network modeling, signal control, and public transport vehicle risk monitoring, among other topics.

He has led and contributed to 15 national and regional research projects, including those funded by the National Natural Science Foundation, the National Key Research and Development Plan, the Beijing Municipal Education Commission, and various enterprises. These projects have led to significant technological innovations and theoretical advancements in traffic management, such as the development of balanced control strategies for road networks and the creation of video monitoring systems for public transport.

Publication top Notes: