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

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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:

GOOGLE SCHOLAR

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:

CITED:197
CITED:160
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

Mr. Aliyu Mustapha | Transportation | Best Researcher Award

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Mr. Aliyu Mustapha | Transportation | Best Researcher Award 

Mr. Aliyu Mustapha, University Technology Petronas, Malaysia

Dr. Aliyu Mustapha is a Lecturer in the Department of Industrial and Technology Education at the Federal University of Technology Minna, Nigeria. He holds a Ph.D. in Mechanical Engineering from Universiti Teknologi PETRONAS, Malaysia, and has an extensive academic background, including a Master of Technology (M.Tech) in Automobile Technology and a Master of Education (M.Ed) in Educational Technology. His expertise spans Technical and Vocational Education and Training (TVET), automobile technology, educational technology, transportation, safety, and ergonomics. Dr. Mustapha has served as an Adjunct Lecturer at Al-Asas Health Foundation College of Health Technology and Niger State College of Education, in addition to his primary academic role. He is an active member of several professional bodies, including the Society of Automotive Engineers (SAE), the Technology Education Practitioners Association of Nigeria (TEPAN), and the Teachers Registration Council of Nigeria (TRCN). With hands-on experience in automobile maintenance, troubleshooting, and safety practices, he continues to contribute significantly to the fields of automotive engineering education and technical training.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award 

Dr. Aliyu Mustapha is a dedicated researcher and academic with a strong background in Mechanical Engineering, Automobile Technology, and Technical Vocational Education and Training (TVET). His contributions to industrial and technology education, combined with his extensive academic qualifications and professional experience, make him a strong candidate for the Best Researcher Award.

🎓 Education:

  • Ph.D. in Mechanical Engineering – Universiti Teknologi PETRONAS, Malaysia (2022-2024)
  • M.Tech in Automobile Technology – Federal University of Technology Minna, Nigeria (2016-2018)
  • M.Ed in Educational Technology – National Open University of Nigeria (2013-2016)
  • Proficiency Certificate in Management – Nigerian Institute of Management Chartered (2014)
  • B.Tech in Industrial and Technology Education (Automobile Technology) – Federal University of Technology Minna, Nigeria (2007-2012)
  • Basic Certificate in Office Application and Desktop Publishing – NIIT Abuja Centre, Nigeria (2010)
  • Diploma in Computer – Umar Computer Institute, Minna, Nigeria (2005)

👨‍🏫 Work Experience:

  • Lecturer – Federal University of Technology Minna, Nigeria (2018-Present)
  • Adjunct Lecturer – Al-Asas Health Foundation College of Health Technology, Minna, Nigeria (2018-Present)
  • Adjunct Lecturer – Niger State College of Education, Centre for Continuing Education NCE (2013-2018)
  • Assistant Lecturer (NYSC) – Niger State College of Education, Minna (2013-2014)
  • Student Teacher – FOMWAN Islamic Secondary School, Minna, Nigeria (2010-2011)
  • Industrial Work Experience (SIWES) – A. Bala Motors, Minna, Nigeria (2010-2011)
    • 🔧 Roles: Overhauling, repairing, troubleshooting, dismantling, assembling, and coupling of automobile parts

🏆 Achievements, Awards & Honors:

  • Associate Member, Society of Automotive Engineers (AMSAE) International (2017-2018) 🚗
  • Member, Technology Education Practitioners Association of Nigeria (TEPAN) (2016-Present) 🏫
  • Registered Member, Teachers Registration Council of Nigeria (MTRCN) (2016-Present) 📚
  • Graduate Member, Nigeria Institute of Management (NIM) Chartered (2014-Present) 🏅
  • Cadet Marshal, Federal Road Safety Corps (2014-Present) 🚦

Publication Top Notes:

Exploring the nexus between risk perception, driving tasks perception, and road safety attitudes among oil and gas tanker drivers

Ergonomic principles of road signs comprehension: A literature review

Rare manifestations of cutaneous diphtheria: a case report

Road Safety Officers’ Perceptions of Awareness and Compliance to Safety Measures among Oil and Gas Tanker Drivers in North-Central Nigeria: Implications for Sustainable Development Goals

Advancements in traffic simulation for enhanced road safety: A review

 

Assoc. Prof. Dr Zhonghe He | Mobility Awards | Best Researcher Award

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Assoc. Prof. Dr Zhonghe He | Mobility Awards | Best Researcher Award 

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.

Professional Profile:

ORCID

SCOPUS

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.

Education:

  • Ph.D. in a relevant field (details of institution and specific area of study are not provided in the original description).

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:

Research on Traffic Marking Segmentation Detection Algorithm Based on Feature Fusion

Research on Attack Detection for Traffic Signal Systems Based on Game Theory and Generative Adversarial Networks

Lane Attribute Classification Based on Fine-Grained Description