Prof. Maria Simões | Traffic Control | Best Researcher Award

Prof. Maria Simões | Traffic Control | Best Researcher Award 

Prof. Maria Simões, Faculty of Engineering of University of Porto, Portugal

Dr. Maria de Lurdes de Oliveira Simões is an Associate Professor at the Faculty of Engineering, University of Porto, and a member of the Laboratory of Building Physics and the CONSTRUCT research institute. She holds a Ph.D. in Engineering Sciences from the University of Porto, an M.Sc. in Operations Research and Systems Engineering from Instituto Superior Técnico, and a degree in Mathematics from the University of Coimbra. Her research focuses on multivariate statistical analysis and simulation with applications in civil engineering, including building physics, hygrothermal behavior, energy efficiency, traffic control modeling, urban accessibility, and infrastructure degradation. Dr. Simões has authored over 30 journal articles, 1 book, and multiple conference papers, and she has led or contributed to several international research projects. A recipient of the “Incentivo Científico 2015” award, she has also supervised numerous MSc and PhD theses and has been supported by prestigious scholarships including PRODEP III, PRAXIS XXI, and ERASMUS.

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Summary of Suitability: Dr. Maria de Lurdes Simões – Candidate for Best Researcher Award

Dr. Maria de Lurdes Simões, Associate Professor at the Faculty of Engineering, University of Porto, is an accomplished academic whose interdisciplinary expertise in mathematics, operations research, and engineering sciences underpins her impactful research in civil engineering applications. Her extensive scholarly contributions and leadership in European-funded research projects position her as a strong candidate for the Best Researcher Award.

🎓 Education

  • 📘 Ph.D. in Engineering Sciences, Faculty of Engineering, University of Porto – Concluded: May 31, 2005

  • 📊 Master’s in Operations Research and Systems Engineering, Instituto Superior Técnico – Concluded: November 28, 1997

  • 📐 Undergraduate in Mathematics, University of Coimbra – Concluded: September 16, 1993

  • 🇫🇷 D.E.S.S. in Statistical and Numerical Engineering, Université des Sciences et Technologies de Lille – ERASMUS Scholarship

👩‍🏫 Work Experience

  • 📍 Associate Professor, Faculty of Engineering, University of Porto – March 2023 to Present

  • 📍 Assistant Professor, same institution – May 2005 to March 2023

  • 📍 Lecturer, same institution – January 1998 to May 2005

🧪 Scientific Achievements

  • 📝 30 peer-reviewed journal articles

  • 📚 1 authored book, 2 book chapters

  • 🗣️ 28 conference papers (international and national)

  • 🧑‍🎓 Supervised 14 MSc and 1 PhD thesis

  • 🌍 Participated in 6 major international research projects:

    • SUDOE ENERGY PUSH 🔋🏘️

    • EnReflect 🌞🧪

    • HOME ZERO 🏠♻️

    • SUDOE STOP CO2 🚉🌱

🏅 Awards & Honors

  • 🏆 “Incentivo Científico 2015” – Recognition for scientific excellence

  • 🎓 Scholarships:

    • PRODEP III – PhD support

    • PRAXIS XXI (J.N.I.C.T.) – Master’s support

    • ERASMUS (FSE) – D.E.S.S. support

Publication Top Notes:

Impact of air barriers application in LCA and LCC of naturally ventilated dwellings in mild climate regions

Prediction of track geometrical condition by machine learning techniques

Towards an airtightness compliance tool based on machine learning models for naturally ventilated dwellings

Statistical Descriptive Analysis of Portuguese Public Procurement Data from 2015 to 2022

A labelling strategy to define airtightness performance ranges of naturally ventilated dwellings: An application in southern Europe

Impact of atmospherical stability and intra-hour variation of meteorological data in the variability of building air change rates

Infrared Thermography to Evaluate Thermal Comfort under Controlled Ambient Conditions

Assoc. Prof. Dr. Mehdi Kadivar | Vehicular Network | Best Researcher Award

Assoc. Prof. Dr. Mehdi Kadivar | Vehicular Network | Best Researcher Award 

Assoc. Prof. Dr. Mehdi Kadivar, Shahrekord University, Iran

Mehdi Kadivar is a distinguished academic with a Ph.D. in Computer Engineering from Amirkabir University of Technology, Tehran, where he focused on topology control in wireless ad hoc networks, considering mobility and residual energy of nodes. He also holds an M.Sc. from Shahid Bahonar University of Kerman, specializing in location problems on fuzzy networks, and a B.Sc. from the University of Yazd. His research interests encompass fault tolerance, combinatorial mathematics, and wireless ad hoc networks, with a particular emphasis on topology control, energy-efficient cooperative strategies, and mobility modeling. Additionally, he has contributed to the development of vehicular ad hoc networks and P2P protocols for wireless networks.

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Summary of Suitability for Best Researcher Award

Mehdi Kadivar is highly suitable for the Best Researcher Award due to his extensive contributions to fields such as wireless ad hoc networks, combinatorial mathematics, and fault tolerance. His innovative research on topology control, energy-efficient strategies, and mobility modeling in wireless networks, combined with his impactful work in stem cell research, highlights his interdisciplinary expertise and dedication to advancing scientific knowledge. His numerous influential publications, such as those in Biochemical and Biophysical Research Communications and Stem Cells and Development, further demonstrate his outstanding research capabilities.

🎓 Education:

  • Ph.D. in Computer Science (2004-2009) – Amirkabir University of Technology, Tehran
    Research: Topology Control in Wireless Ad Hoc Networks considering Mobility and Residual Energy

  • M.Sc. in Mathematics (2002-2004) – Shahid Bahonar University of Kerman
    Research: Location Problems on Fuzzy Networks

  • B.Sc. in Mathematics (1998-2002) – University of Yazd

💼 Work Experience:

  • Associate/Assistant Professor – Shahrekord University, Iran

  • Researcher in Wireless Networks & Combinatorial Mathematics

🏆 Achievements, Awards & Honors:

  • 📡 Significant contributions in Wireless Ad Hoc Networks research

  • 🔍 Expertise in Fault Tolerance & System-Level Diagnosis

  • 📖 Published multiple research papers in network topology & optimization

  • 🏅 Recognized for work in Energy-Efficient Network Strategies

Publication Top Notes:

In vitro cardiomyogenic potential of human umbilical vein-derived mesenchymal stem cells

CITED:255

Generation of functional hepatocyte-like cells from human pluripotent stem cells in a scalable suspension culture

CITED:150

Effect of secreted molecules of human embryonic stem cell-derived mesenchymal stem cells on acute hepatic failure model

CITED:82

Enhancement of angiogenesis and neurogenesis by intracerebroventricular injection of secretome from human embryonic stem cell‐derived mesenchymal stem cells in ischemic stroke …

CITED:64

Morphine-induced impairment of spatial memory acquisition reversed by morphine sensitization in rats

CITED:58

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

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 ResearcherExpert in AI, Data Science & Blockchain
    • Focused on blockchain applications for smart grids and electric vehicles
    • Extensive experience in developing AI-driven solutions
  • Academic Contributor & ResearcherPublished 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