Zhuoying Liao | Electrical Engineering | Best Researcher Award

Dr Zhuoying Liao | Electrical Engineering | Best Researcher Award

Doctoral Student, School of Energy Science and Engineering, University of Science and Technology of China

Liao Zhuoying is a dedicated PhD candidate in Electrical Engineering at the University of Science and Technology of China, specializing in grid-forming large-scale hybrid energy storage systems. With a strong academic background from North China Electric Power University, the University of Edinburgh, and University College London, Liao has developed expertise in electrical engineering, power systems, and energy storage technologies. Currently, as a Research Assistant at the Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Liao focuses on enhancing grid stability and reliability through advanced modeling, simulation, and fault diagnosis of energy storage systems. Passionate about sustainable energy solutions, Liao aims to contribute to the development of efficient and resilient power networks. Fluent in English, Mandarin, and Cantonese, Liao is an active researcher with several publications in prestigious journals and conferences.

Professional profile

Scopus

Education  🎓

  • PhD in Energy and Power (2022–Present)
    University of Science and Technology of China, China
    Specialization: Grid-forming hybrid energy storage systems.
  • Master of Science in Power System Engineering (2020–2022)
    University College London, UK
    Focus: Advanced power systems and renewable energy integration.
  • Bachelor of Science in Electronics and Electrical Engineering (2018–2020)
    University of Edinburgh, UK
    Key areas: Electrical circuits, automation, and energy systems.
  • Bachelor of Science in Electrical Engineering and Automation (2016–2018)
    North China Electric Power University, China
    Core studies: Power systems, control systems, and energy storage technologies.

Liao’s multidisciplinary education has equipped them with a strong foundation in electrical engineering and a deep understanding of modern energy systems.

Experience 💼

  • Research Assistant (2022–Present)
    Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences

    • Investigated the safety and stability of grid-forming hybrid energy storage systems.
    • Developed models and simulations to assess grid reliability and energy storage impacts.
    • Conducted fault diagnosis to mitigate risks associated with energy storage failures.
  • Academic Projects (2018–2022)
    • Collaborated on research projects during MSc and BSc programs, focusing on renewable energy integration and power system optimization.
    • Gained hands-on experience in modeling, simulation, and data analysis.

Liao’s research experience demonstrates a strong commitment to advancing sustainable energy solutions and improving grid resilience.

Awards and Honors 🏆

  • Outstanding Research Contribution Award (2024)
    Recognized for innovative work on hybrid energy storage systems at the Guangzhou Institute of Energy Conversion.
  • Best Paper Award (2024)
    Awarded at the IEEE International Conference on Power Science & Technology for research on microgrid hybrid energy storage optimization.
  • Academic Excellence Scholarship (2018–2020)
    University of Edinburgh, UK, for outstanding performance in Electrical Engineering.
  • Dean’s List Honoree (2016–2018)
    North China Electric Power University, China, for top academic achievements.

Liao’s accolades reflect their dedication to excellence in research and academia.

Research Focus 🔍

Liao Zhuoying’s research focuses on grid-forming large-scale hybrid energy storage systems, aiming to enhance grid stability and reliability. Key areas include:

  • Modeling and Simulation: Developing advanced models to assess the impact of energy storage on power networks.
  • Fault Diagnosis: Identifying and mitigating risks associated with energy storage system failures.
  • Optimization: Designing optimal configurations for hybrid energy storage in multi-energy microgrids.
  • Sustainability: Integrating renewable energy sources and improving energy efficiency.

Liao’s work contributes to the development of resilient and sustainable energy systems, addressing critical challenges in modern power networks.

Publication Top Notes 📚

  1. “Shared hybrid energy storage system optimal configuration in multi-energy microgrid system considering the transformer waste heat utilization: A tri-layer programming approach” – Journal of Energy Storage, 2025.
  2. “Interval prediction of short-term photovoltaic power based on an improved GRU model” – Energy Science & Engineering, 2024.
  3. “Optimization of Microgrid Hybrid Energy Storage System Operation Based on tGRIME Algorithm” – IEEE International Conference on Power Science & Technology, 2024.

Conclusion 🌟

Liao Zhuoying is a highly skilled and motivated researcher with a strong focus on advancing grid-forming hybrid energy storage systems. With a robust academic background, extensive research experience, and numerous accolades, Liao is committed to developing sustainable and efficient energy solutions. Their work not only addresses critical challenges in power systems but also paves the way for a more resilient and renewable energy future.

Shahid Mumtaz | Wireless Communication | Best Researcher Award

Prof. Dr Shahid Mumtaz | Wireless Communication | Best Researcher Award

Professor, Nottingham Trent Univeristy, Portugal

Shahid Mumtaz is a renowned innovator and strategist with over 15 years of experience in wireless communication, academia, and industry. He holds a PhD in Electrical & Electronic Engineering from the University of Aveiro, Portugal, and a Master’s from Blekinge Institute of Technology, Sweden. A Full Professor at Nottingham Trent University (NTU), UK, he is also a Board Member of the SWFIT Center, a €15M innovation hub. Dr. Mumtaz is an IET Fellow, IEEE ComSoc Distinguished Speaker, and recipient of the IEEE ComSoC Young Researcher Award. He has authored 4 books, 12 book chapters, and 300+ technical papers, with over 12,000 citations and an h-index of 60. His expertise spans 5G/6G, AI/ML, Quantum Communication, and IoT. He has secured €10M in funding, contributed to IEEE and 3GPP standards, and holds 4 patents. Dr. Mumtaz is a global leader in transitioning cutting-edge research into practical solutions for the wireless industry.

Professional Profile

Google Scholar

Scopus

Education 🎓

  • 2011: PhD in Electrical & Electronic Engineering, University of Aveiro, Portugal.
  • 2006: Master’s in Electrical Engineering, Blekinge Institute of Technology, Sweden.
  • 2002-2003: System Engineer training at Pak Telecom.
  • 2005-2006: Research Intern at Ericsson and Huawei Research Labs, Sweden.

Dr. Mumtaz’s academic journey reflects a strong foundation in wireless communication and engineering, complemented by hands-on industry experience. His PhD and Master’s research laid the groundwork for his contributions to 5G/6G technologies, AI/ML applications, and quantum communication. His education and early career roles at Ericsson and Huawei equipped him with the skills to bridge academic research and industrial innovation, making him a leading figure in the wireless communication domain.

Experience 💼

  • 2022-Present: Full Professor, Nottingham Trent University (NTU), UK.
  • 2020-2023: Principal Researcher, Instituto de Telecomunicações, Aveiro, Portugal.
  • 2021-2022: Patent Analyst, Sisvel Group, Italy.
  • 2020-2021: Senior 5G/6G Consultant, InterDigital, USA.
  • 2019-2020: Senior 5G/6G Consultant, Huawei, Sweden.
  • 2005-2006: Research Intern, Ericsson, Sweden.

Dr. Mumtaz has held key roles in academia and industry, driving innovation in wireless communication. As a Full Professor at NTU, he leads research in 5G/6G, AI/ML, and IoT. His consultancy roles at Huawei and InterDigital involved contributing to RAN1/RAN2 standards. He has also worked as a Patent Analyst, evaluating cutting-edge technologies. His multidisciplinary experience spans research, standardization, and technology transfer, making him a pivotal figure in the evolution of wireless networks.

Awards and Honors 🏅

  • IEEE ComSoC Young Researcher Award: Recognized for outstanding contributions to wireless communication.
  • IET Fellow: Elected for exceptional achievements in engineering and technology.
  • IEEE ComSoc/VTS Distinguished Speaker: Acknowledged for thought leadership in wireless technologies.
  • Alain Bensoussan Fellowship (2012): Awarded for excellence in research and innovation.
  • NSFC Visiting Researcher Fund (2017): Granted by China for contributions to young scientists.
  • 2 IEEE Best Paper Awards: For groundbreaking research in mobile communications.
  • 4 Patents: For innovative wireless communication technologies.
  • Board Member, SWFIT Center: Leading a €15M innovation hub at NTU.

Dr. Mumtaz’s accolades reflect his global impact on wireless communication, standardization, and innovation. His work has influenced IEEE and 3GPP standards, earning him recognition as a leader in the field.

Research Focus 🔍

Dr. Mumtaz’s research focuses on 5G/6G wireless technologies, leveraging AI/ML and Digital Twin tools to drive innovation. His work spans:

  • Quantum Communication: Founding EiC of IET Journal of Quantum Communication.
  • AI/ML in Wireless Networks: Developing intelligent communication systems.
  • IoT and Smart Connectivity: Addressing industrial IoT challenges.
  • Terahertz Communication: Enabling ultra-fast networks for beyond-5G.
  • Green Communication: Vice-Chair of IEEE ComSoc Green Communications.
  • Standardization: Contributing to IEEE P1932.1 and 3GPP standards.

His research integrates theoretical models with practical applications, transitioning ideas from academia to industry. He has secured €10M in funding, published 300+ papers, and supervised numerous PhD and Master’s students. Dr. Mumtaz’s work is shaping the future of wireless communication, with a focus on sustainability, efficiency, and innovation.

Publication Top Notes📚

  1. Millimeter wave communications for future mobile networks.
  2. A survey on hybrid beamforming techniques in 5G.
  3. Millimeter-wave massive MIMO communication for future wireless systems.
  4. 5G D2D networks: Techniques, challenges, and future prospects.
  5. Survey on the internet of vehicles: Network architectures and applications.
  6. Massive Internet of Things for industrial applications.
  7. Computation resource allocation in vehicular fog computing.
  8. When Internet of Things meets blockchain.
  9. MmWave massive MIMO: a paradigm for 5G.
  10. A survey of 5G technologies: regulatory and industrial perspectives.
  11. When mobile crowd sensing meets UAV.
  12. Robust mobile crowd sensing: Deep learning meets edge computing.
  13. Learning-based context-aware resource allocation for IoT.
  14. Terahertz communication for vehicular networks.
  15. Emerging technologies for 5G-IoV networks.
  16. On indoor millimeter wave massive MIMO channels.
  17. Securing critical infrastructures: Deep-learning-based threat detection.
  18. Hardware impaired ambient backscatter NOMA systems.
  19. Attribute-based encryption for edge intelligent IoV.
  20. Terahertz-enabled wireless system for beyond-5G networks.

Conclusion 🌟

Dr. Shahid Mumtaz is a visionary leader in wireless communication, blending academic excellence with industrial innovation. His contributions to 5G/6G, AI/ML, and IoT have set new benchmarks in the field. With over 300 publications, 12,000 citations, and €10M in funding, his work has influenced global standards and inspired the next generation of researchers. Dr. Mumtaz’s dedication to bridging theory and practice ensures his continued impact on the future of wireless technologies. 🚀