Dr. Min Xie | Energy System | Best Researcher Award

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

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