Dr. Min Xie | Energy System | Best Researcher Award

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Dr. Min Xie | Energy System | Best Researcher Award 

Dr. Min Xie, South China University of Technology, China

Dr. Min Xie is an Associate Professor in the Electrical Power College at South China University of Technology and a member of both the China Energy Association and IEEE. She received her Ph.D. in Electrical Engineering from Huazhong University of Science and Technology in 2006 and holds a B.S. in Electrical Engineering from Zhongnan Institute of Technology. She previously served as a research assistant at the Hong Kong University and the Tsinghua-HK National Key Laboratory of Power System. Dr. Xie’s research focuses on low-carbon economy optimization, market decision-making in modern power systems, integrated energy system modeling, and demand response mechanisms for offshore wind power integration. She has led numerous research projects, including one funded by the National Natural Science Foundation of China and several from the Guangdong Provincial Natural Science Foundation, along with over 20 industry-sponsored projects. Dr. Xie has authored more than 40 high-impact academic papers, published two monographs, and holds over 15 national invention patents as the first inventor. Her work has been recognized with multiple honors, including the 2022 “Top 5000 – Top Academic Paper Award of China’s Excellent Science and Technology Journals” and the Second Prize of the 2023 China Electricity Council Electric Power Science and Technology Innovation Award.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Min Xie

Dr. Min Xie, Associate Professor at the South China University of Technology, is a distinguished researcher in electrical engineering with a specialized focus on low-carbon power systems, integrated energy system optimization, and market-based mechanisms for renewable energy integration. Her academic record, research leadership, and innovation place her as a highly deserving candidate for the Best Researcher Award.

🎓 Education

  • 📚 B.S. in Electrical Engineering – Zhongnan Institute of Technology, Hengyang, Hunan, China (1996–2000)

  • 🎓 Ph.D. in Electrical Engineering – Huazhong University of Science & Technology, Wuhan, Hubei, China (2000–2006)

💼 Work Experience

  • 🧑‍🏫 Associate Professor – Electrical Power College, South China University of Technology (2006–Present)

  • 👩‍🎓 Adjunct Professor – Electrical Power College, South China University of Technology (2010–Present)

  • 🔬 Research Assistant – Hong Kong University & Tsinghua-HK National Key Laboratory of Power Systems (2004–2005)

🧠 Research Interests & Achievements

  • 🌱 Low-carbon economy optimization and market decision-making in new power systems

  • 🔄 Modeling and optimization of integrated energy systems

  • ⚡ Demand response technologies and market mechanisms for offshore wind power utilization

  • 📊 Principal Investigator for:

    • 1️⃣ National Natural Science Foundation of China project

    • 4️⃣ Guangdong Province Natural Science Foundation projects

    • 2️⃣0️⃣+ enterprise-sponsored horizontal research projects

  • 📚 Publications: Over 40 high-level academic papers and 2 monographs

  • 🧾 Patents: Over 15 national invention patents (as first inventor)

🏆 Awards & Honors

  • 🥇 Top 5000 – Top Academic Paper Award, China’s Excellent Science and Technology Journals (2022)

  • 🥈 Second Prize, 2023 China Electricity Council Electric Power Science and Technology Innovation Award

Publication Top Notes:

Morphology regulation of carbon electrode materials via homologous magnesium-based templates for symmetrical and hybrid capacitors

A heuristic decomposition algorithm to optimally configure superconducting fault current limiters in Large-Scale power systems

Multi-Objective Active Distribution Network Optimization Reconfiguration Considering Soft Open Point and Demand Response

A review on multi-scale structure engineering of carbon-based electrode materials towards dense energy storage for supercapacitors

Calculation Method and Market Mechanism of Grid-Sourced Green Electricity Consumption for Zero-Carbon Electricity Consumers

Short-term load forecasting method based on fuzzy optimization combined model of load feature recognition

Calculation Method of Dispatchable Potential of Bus-specific Charging Stations and Its Application in the Spot Market

K-Nearest Neighbor Algorithm Applied to Accelerate Security Constrained Unit Commitment Problem

Assist. Prof. Dr. Shuja Ansari | Virtual Power Plants | Best Sensor for Energy Management Award

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Assist. Prof. Dr. Shuja Ansari | Virtual Power Plants | Best Sensor for Energy Management Award 

Assist. Prof. Dr. Shuja Ansari, University of Glasgow, United Kingdom

Dr. Shuja S. Ansari is a Chartered Engineer and accomplished academic based at the University of Glasgow, UK, currently serving as Lecturer in Autonomous Systems and Connectivity at the James Watt School of Engineering. With over a decade of research and professional experience, Dr. Ansari has played leading roles in high-impact projects exceeding £30 million in value, directly securing over £5 million in competitive funding since 2020. He has authored over 70 research papers, co-edited two books on beyond-5G networks, and holds two patents resulting from innovative RFID-based asset management work. His research spans 5G/6G wireless systems, IoT, electromagnetic warfare, and AI-driven network solutions. He serves as the Glasgow Lead and Principal Investigator for the UK Electromagnetic Environment Hub (EME), collaborating with the UK Ministry of Defence, and has contributed to the development of the UK’s first 5G USB-C modem and 3D video calling technologies. A Senior Member of IEEE and Fellow of the Royal Economic Society of Technology, Dr. Ansari’s academic leadership includes supervising Ph.D. students, contributing to national-level O-RAN testbeds, and pioneering cross-sector collaborations in wireless and intelligent systems.

Professional Profile:

SCOPUS

ORCID

GOOGLE SCHOLAR

Summary of Suitability for the Best Sensor for Energy Management Award:

Dr. Shuja S. Ansari is a highly accomplished Chartered Engineer and academic researcher whose contributions to wireless systems, RFID-based asset management, and IoT-based infrastructure uniquely position him as an exceptional candidate for the Best Sensor for Energy Management Award. His interdisciplinary expertise spans telecommunications, power electronics, electromagnetic compatibility, and sensor-driven system optimization—core areas relevant to next-generation energy management technologies.

🎓 Education

  • 📍 Ph.D. in Engineering
    Glasgow Caledonian University, UK (Sep 2015 – Jan 2019)
    Scholarship recipient

  • 📍 M.Sc. in Telecommunications Engineering
    Glasgow Caledonian University, UK (Jan 2014 – Jun 2015)
    Graduated with Distinction

  • 📍 B.Sc. (Hons) in Electrical (Telecoms) Engineering
    COMSATS University, Pakistan (Sep 2009 – Jun 2013)

💼 Work Experience

🏛️ University of Glasgow

  • Lecturer / Assistant Professor in Autonomous Systems and Connectivity (Jan 2022 – Present)

    • 📡 Lead Investigator for UK Electromagnetic Environment Hub (Dstl/MoD)

    • 📶 Co-Investigator for multiple 5G/IoT and Open RAN projects

    • 🧠 Supervised 15+ PhD students and participated in 13 examinations

    • 👨‍🏫 Taught subjects like Power Electronics, mmWave Design, EMC

🔬 Postdoctoral Research Associate (Sep 2019 – Jan 2022)

  • 🛜 Led 5G/IoT use case development

  • 📡 Senior DevOps for 4G/5G, NB-IoT, LoRaWAN

  • 🧑‍💼 Industry liaison and spectrum coordinator

🏫 Glasgow Caledonian University (Feb 2019 – Jul 2019)

  • 📘 Associate Lecturer in Electrical and Wireless Communications

  • 💪 Contributed to Athena Swan Charter for inclusion in STEM

💻 Freelance Network Engineer (2015 – 2019)

  • 🔧 Led network infrastructure deployments and troubleshooting

🇵🇰 Internships – Jazz & Ufone (Pakistan)

  • 📶 RF Optimization, Drive Testing, Network Monitoring (2010–2013)

🏆 Achievements & Awards

  • 💷 Secured £5M+ in funding for R&D projects since 2020

  • 📚 Co-edited 2 books on Beyond 5G technologies

  • ✍️ Published 70+ research papers

  • 🔬 Led to 2 patents and spin-off company “RFIoT”

  • 📡 Developed UK’s first 5G USB-C modem

  • 🏁 Hosted UK’s first Summer School on Electromagnetic Warfare

  • 📽️ Delivered UK’s first 3D video call over 5G

  • 🛠️ Inventor of CoMP algorithms for Open RAN fronthaul enhancement

Publication Top Notes:

Next-Generation IoT: Harnessing AI for Enhanced Localization and Energy Harvesting in Backscatter Communications

RIS-Enabled Secret Key Generation for Secured Vehicular Communication in the Presence of Denial-of-Service Attacks

An Overview of Emergency Communication Networks

Crowd Control, Planning, and Prediction Using Sentiment Analysis: An Alert System for City Authorities

Towards the Digital Twin (DT) of Narrow-Band Internet of Things (NBIoT) Wireless Communication in Industrial Indoor Environment

Coverage Extension for the UK Smart Meter Implementation Programme Using Mesh Connectivity

Capacity Optimization of Next-Generation UAV Communication Involving Non-Orthogonal Multiple Access

Dr. Debdatta Sinha Roy | Data-driven | Best Researcher Award

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Dr. Debdatta Sinha Roy | Data-driven | Best Researcher Award 

Dr. Debdatta Sinha Roy, Oracle Retail Science R&D, United States

Debdatta Sinha Roy is a Principal Research Scientist in Operations Research and Data Science at Oracle, based in Burlington, Massachusetts, USA. He specializes in optimization, machine learning, and data-driven decision-making under uncertainty, with practical applications across retail, supply chain, logistics, and service operations. He holds a Ph.D. in Operations Management from the University of Maryland’s Robert H. Smith School of Business, where he received the Best Dissertation Proposal Award for his work on data-driven optimization in logistics. Debdatta earned his dual B.S.-M.S. degree in Mathematics from the Indian Institute of Science Education and Research, Mohali, where he was awarded the prestigious President of India Gold Medal. With professional experience at Oracle and Staples, his work has contributed to cutting-edge retail forecasting systems, fulfillment optimization, and intelligent logistics networks. He has also published impactful research on routing problems, stochastic modeling, and social choice theory, and maintains an academic lineage that traces back to George Dantzig.

Professional Profile:

ORCID

Summary of Suitability

Dr. Debdatta Sinha Roy is a highly accomplished researcher whose work lies at the intersection of operations research, optimization, and machine learning, with transformative applications in retail, supply chain logistics, and service operations. His research combines theoretical rigor with real-world impact, making him exceptionally suitable for recognition with the Best Researcher Award.

🎓 Education

  • Ph.D. in Operations Management/Management Science
    📍 University of Maryland, College Park, USA (Aug 2014 – Aug 2019)
    🏆 Best Dissertation Proposal Award in Management Science
    📘 Dissertation: Data-Driven Optimization and Statistical Modeling to Improve Decision Making in Logistics

  • B.S.-M.S. Dual Degree in Mathematics
    📍 Indian Institute of Science Education and Research, Mohali, India (Aug 2009 – May 2014)
    🥇 President of India Gold Medal
    📘 Thesis: Social Choice Theory and Max-Plus Algebra

💼 Work Experience

  • Oracle, Inc., Burlington, MA, USA
    🧪 Principal Research Scientist (Sep 2024 – Present)
    🧪 Senior Research Scientist (Jul 2021 – Aug 2024)
    🔧 Projects: AI Foundation (Oracle Retail), recommendation systems, fulfillment forecasting, item classification, and forecasting pipelines.

  • Staples, Inc., Framingham, MA, USA
    🔬 Research Scientist – Operations Research and Data Science (Sep 2019 – Jul 2021)
    📦 Projects: Carton demand forecasting, on-demand routing, dynamic UPS/FedEx optimization, middle-mile logistics.

  • University of Maryland, College Park, MD, USA
    🎓 Graduate Research Fellow (Aug 2014 – Aug 2019)
    🔍 Focus: Optimization, ML, routing problems, Bayesian models, and graph-based heuristics.

  • Indian Statistical Institute, New Delhi, India
    👨‍🏫 Visiting Research Student – Economics & Planning Unit (May 2012 – May 2014)
    📊 Focus: Social Choice Theory, Mathematical Economics.

  • Indian Institute of Science, Bangalore, India
    🧠 Summer Research Intern – Graph Theory and Combinatorics (May 2011 – Jul 2011)

🏅 Achievements, Awards & Honors

  • 🏆 Best Dissertation Proposal Award, University of Maryland

  • 🥇 President of India Gold Medal, IISER Mohali

  • 🧬 Academic Lineage: George Dantzig → Thomas Magnanti → Bruce Golden → Debdatta Sinha Roy

  • 🎯 Led high-impact industrial projects at Oracle and Staples integrating optimization + ML in real-world retail and logistics

Publication Top Notes:

Using regression models to understand the impact of route-length variability in practical vehicle routing

Data-driven optimization and statistical modeling to improve meter reading for utility companies

Modeling and Solving the Intersection Inspection Rural Postman Problem

Estimating the Tour Length for the Close Enough Traveling Salesman Problem

DATA-DRIVEN OPTIMIZATION AND STATISTICAL MODELING TO IMPROVE DECISION MAKING IN LOGISTICS

Elnaz Yaghoubi | power system analysis | Best Researcher Award

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Elnaz Yaghoubi | Power System Analysis | Best Researcher Award

Dr. Elnaz Yaghoubi, karabuk university, Turkey.

Elnaz Yaghoubi is a dedicated Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, boasting a stellar GPA of 4.0. Her research specializes in power system analysis, microgrids, and renewable energy. Elnaz holds an M.Sc. in Electrical Engineering from Islamic Azad University, also achieving a perfect GPA. She has worked as an engineering expert at Iran’s Telecommunication Company and is an active member of the PEDAR research group, contributing to innovative projects in smart grid technology. With a passion for advancing energy solutions, Elnaz is a rising star in her field. 🌟📚⚡

Professional Profile:

Googlescholar

Education and Experience:

  • Ph.D. in Electronic and Electrical Engineering
    Karabuk University, Turkey (2021-Present)
    Thesis: Techno-economical reliable energy management of smart microgrids
    GPA: 4.0 🎓
  • M.Sc. in Electrical Engineering
    Islamic Azad University, Qaemshahr, Iran (2016-2018)
    Thesis: New topology based on clustering for network on chip
    GPA: 4.0 🎓
  • B.Sc. in Electrical Engineering
    Aryan Institute of Science and Technology, Iran (2012-2014)
    GPA: 4.0 🎓
  • Associate’s Degree in Electrical Engineering
    University College of Rouzbahan, Iran (2010-2012)
    GPA: 4.0 🎓
  • Principle Researcher
    PEDAR Group (2023-Present) 🧑‍🔬
  • Expert in Traffic Monitoring and Data Support
    Telecommunication Company, Iran (2017-2021) 📊
  • Data Network Design
    Telecommunication Company, Iran (2015-2017) 🔌

 

Suitability for Best Researcher Award:

Dr. Elnaz Yaghoubi is an exemplary candidate for the Best Researcher Award in the field of Electronic and Electrical Engineering due to her academic excellence, impactful research contributions, and professional experience.

Professional Development:

Elnaz Yaghoubi is continually enhancing her skills and expertise through various professional development avenues. She possesses strong programming skills in MATLAB and C++ and is currently expanding her knowledge in Python and Linux Essentials. With experience in machine learning and deep learning techniques, she actively engages in research and development within the PEDAR research group. Her proficiency in software tools like AutoCAD and Proteus, alongside certifications in network and security fundamentals, underlines her commitment to staying at the forefront of technological advancements in power systems. 📈💻🔍

Research Focus:

Elnaz Yaghoubi’s research primarily revolves around power system analysis, focusing on optimizing power management in microgrids and smart grids. She explores renewable energy solutions and the integration of distributed generation methods to enhance energy efficiency. Additionally, Elnaz delves into model predictive control (MPC) for advanced power control strategies, emphasizing cyber security in energy systems. Her work with artificial neural networks and machine learning further supports innovative solutions in the field. Elnaz’s commitment to addressing contemporary energy challenges makes her a pivotal figure in advancing smart energy technologies. 🔋🌍🔧

Awards and Honors:

  • Perfect GPA Award (Karabuk University) 🎖️
  • Outstanding Research Contribution Award (Islamic Azad University) 🏆
  • Best Paper Award (Conference on Renewable Energy Solutions) 📜
  • Excellence in Engineering Award (Telecommunication Company, Iran) 🌟
  • Leadership in Research Award (PEDAR Group) 🏅

Publication top Notes:

  • State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques 🌐
    Cited by: 85 | Year: 2023
  • The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems 🔋
    Cited by: 15 | Year: 2023
  • Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide 📡
    Cited by: 12 | Year: 2021
  • Reducing the vulnerability in microgrid power systems ⚡
    Cited by: 11 | Year: 2023
  • Electric vehicles in China, Europe, and the United States: Current trend and market comparison 🚗
    Cited by: 10 | Year: 2024
  • Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide 📊
    Cited by: 10 | Year: 2022
  • A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior ⚙️
    Cited by: 9 | Year: 2024