Assoc. Prof. Dr. Fei Zhang | Digital Highways Awards | Best Researcher Award

Posted on 16/05/2025 by ScienceFather

Assoc. Prof. Dr. Fei Zhang | Digital Highways Awards | Best Researcher Award

Assoc. Prof. Dr. Fei Zhang, Inner Mongolia University of Technology, China

Dr. Fei Zhang is an Associate Professor and Master’s Supervisor at the Inner Mongolia University of Technology, China. He earned his Bachelor’s degree in Civil Engineering (2010–2014), Master’s degree in Transportation Engineering (2014–2017), and Ph.D. in Engineering Mechanics (2017–2021) from the same university. His research is focused on the viscoelastic behavior of asphalt and asphalt mixtures, with particular interest in the incorporation of solid waste materials for sustainable pavement engineering. Dr. Zhang has led and participated in several national and regional research projects, including grants from the National Natural Science Foundation of China and the Inner Mongolia Natural Science Foundation. He has published multiple peer-reviewed articles in prestigious journals such as Materials, Polymers, and Construction and Building Materials. In recognition of his scientific contributions, he was honored with the Second Prize of the Inner Mongolia Autonomous Region Science and Technology Progress Award. Dr. Zhang also serves as a Youth Editorial Board Member for the Journal of Jilin Jianzhu University.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Fei Zhang

Dr. Fei Zhang, Associate Professor and Master’s Supervisor at Inner Mongolia University of Technology, has demonstrated a strong and consistent research trajectory in the field of asphalt rheology and pavement engineering, with a specific focus on the viscoelastic behavior of asphalt mixtures and the innovative reuse of solid waste materials such as rubber and steel slag for improved road safety and environmental sustainability.

🎓 Education

📘 Bachelor of Civil Engineering
Inner Mongolia University of Technology
(2010.09 – 2014.07)
🛣️ Master of Science in Transportation Engineering
Inner Mongolia University of Technology
(2014.09 – 2017.07)
🧠 Ph.D. in Engineering Mechanics
Inner Mongolia University of Technology
(2017.09 – 2021.07)

💼 Work Experience

🧑‍🏫 Associate Professor & Master’s Supervisor
Inner Mongolia University of Technology
📝 Youth Editorial Board Member
Journal of Jilin Jianzhu University

🧪 Research Focus

🔁 Viscoelastic theory of asphalt and asphalt mixtures
♻️ Application of solid waste materials in pavement engineering

🏆 Achievements & Projects

💼 Principal Investigator of several prestigious research projects:
- NSFC Projects (2) 🇨🇳
- Inner Mongolia Natural Science Foundation 🏞️
- Inner Mongolia Department of Education Research Program 🏫
- IMUT High-Level Talent Research Startup Fund 💡
- IMUT Scientific Research Program 🔬
📚 Publications in leading journals:
- Construction and Building Materials 🧱
- Fatigue & Fracture of Engineering Materials & Structures ⚙️
- Polymers 🧬
- Materials 🔍
🖊️ Author of 8+ peer-reviewed papers
- Example:
  - “The Discrete and Continuous Retardation and Relaxation Spectrum Method…” – Materials, 2020

🥇 Awards & Honors

🏅 Second Prize – Science and Technology Progress Award
Inner Mongolia Autonomous Region

Publication Top Notes:

Effects of freeze-thaw cycles on fatigue performance of asphalt mixture and a fatigue-freeze-thaw damage evolution model

Cracking Resistance of Recycled Rubber Asphalt Binder Composed of Warm-Mix Additives

Performance evaluation of warm-mixed crumb rubber modified asphalt based on rheological characteristics

Predict the Phase Angle Master Curve and Study the Viscoelastic Properties of Warm Mix Crumb Rubber-Modified Asphalt Mixture

The Discrete and Continuous Retardation and Relaxation Spectrum Method for Viscoelastic Characterization of Warm Mix Crumb Rubber-Modified Asphalt Mixtures

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

Posted on 20/02/2025 by ScienceFather

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:

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

Prof Dr. Sara Paiva | Smart Cities | Best Researcher Award

Posted on 27/06/2024 by ScienceFather

Prof Dr. Sara Paiva | Smart Cities | Best Researcher Award

Prof Dr. Sara Paiva, Viana do Castelo Polytechnic Universiry, Portugal

Sara Paiva, an esteemed academic and researcher, is currently serving as an Assistant Professor and Pro-President for Information Systems at Viana do Castelo Polytechnic University in Portugal. Born on November 28, 1979, Sara has built a distinguished career marked by notable academic and professional achievements.Sara’s educational journey is both extensive and impressive. She holds a degree in Systems and Computer Engineering from Minho University in Braga, Portugal, which she completed in 2002. Her early passion for technology and engineering laid a strong foundation for her future endeavors. She then pursued a Ph.D. at Universidade de Vigo, where she focused on semantic technologies, specifically developing an architecture for guided search systems. She successfully defended her thesis in 2011, further cementing her expertise in the field.In her relentless pursuit of knowledge and innovation, Sara undertook a Post-Doctoral research project at Universidade de Oviedo from 2018 to 2021. As part of the SMIOT Research Group, she concentrated on Smart Mobility and Advanced Driving Assistants, areas that align with the burgeoning intersection of technology and everyday life.

Professional Profile

ORCID

Education

Post-Doctorate (2018 – 2021):
- Institution: Universidade de Oviedo
- Research Group: SMIOT – Multimedia Services and Internet of Things
- Research Area: Smart Mobility and Advanced Driving Assistants
Ph.D. (2007 – 2011):
- Institution: Universidade de Vigo
- Thesis Title: An architecture for guided search systems based on semantic technologies
Degree in Systems and Computer Engineering (1997 – 2002):
- Institution: Minho University, Braga, Portugal

Work Experience

Assistant Professor:
- Institution: Viana do Castelo Polytechnic University, Portugal
- Roles and Responsibilities:
  - Teaching various courses in Systems and Computer Engineering.
  - Supervising student projects and theses.
  - Conducting research in Smart Mobility, Internet of Things, and related areas.
  - Serving as the Pro-President for Information Systems, overseeing the institution’s information systems and technology initiatives.

Research and Publications

Sara Paiva has a robust research portfolio, focusing primarily on smart mobility, advanced driving assistants, and the integration of semantic technologies in guided search systems. Her academic contributions include numerous publications in high-impact journals and conferences, reflecting her expertise in multimedia services and the Internet of Things.

Publications Notes:📄