Dr. Qian Guo | Energy technologies | Best Researcher Award

Dr. Qian Guo | Energy technologies | Best Researcher Award

Research Associate, University of Manchester, United Kingdom

Dr. Qian Guo is a dynamic researcher in the field of materials science and condensed matter physics, currently serving as a Postdoctoral Research Associate in the Department of Physics and Astronomy at the University of Manchester, UK. With a rich academic and professional background, she has made substantial contributions to solar-to-hydrogen conversion, 2D material ion intercalation, and energy devices. Her interdisciplinary work across physics, materials engineering, and sustainable energy technologies has earned her recognition at international levels. 🔬⚛️

Professional Profile

Google Scholar

ORCID

Scopus

🎓 Education Background

Dr. Guo holds a Ph.D. in Materials Science (2022) from Queen Mary University of London, where she specialized in photoelectrocatalysis for solar-to-hydrogen conversion under the supervision of Prof. Ana Sobrido and Prof. Magda Titirici. She obtained her Master of Engineering in Materials Engineering (2016) from the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, with a GPA of 90.9/100. Her academic journey reflects a strong foundation in both theoretical and applied materials science. 📘🎓

💼 Professional Experience

Since September 2022, Dr. Guo has been contributing to cutting-edge research on rechargeable ion batteries at the University of Manchester under Prof. Irina Grigorieva. Prior to that, she was a visiting Ph.D. student at Imperial College London, investigating biomass-derived carbon materials. Her earlier research includes innovative work on nanocomposites for electronic packaging during her master’s studies. Her collaborations span leading UK, European, and Chinese institutions, showcasing her strong international profile. 🌍🔧

🏅 Awards and Honors

Dr. Guo has received numerous prestigious awards, including the RSC Researcher Development Grant (2022), SuperSolar Conference Fund Award (2022), and SEMS Postgraduate Research Excellence Award (2021). She also earned the National Scholarship from the Ministry of Education of China (2015) and was recognized as an Outstanding Student for three consecutive years by the University of Chinese Academy of Sciences. Her accolades reflect her academic excellence and research innovation. 🥇📜

🔍 Research Focus

Her research centers on advanced functional materials for energy applications, particularly in photoelectrocatalysis, energy storage, and interfacial engineering of nanomaterials. Her expertise includes the design of novel materials for solar water splitting, carbon-based electrocatalysts, and graphene-based batteries. Dr. Guo’s interdisciplinary approach bridges material chemistry, physics, and engineering, driving forward next-generation clean energy technologies. ⚡🧫

📌 Conclusion

Dr. Qian Guo is an emerging leader in sustainable energy and materials research, known for her scientific rigor, innovation, and international collaborations. Her continued work in the field of rechargeable batteries and photoelectrocatalysis marks her as a vital contributor to the advancement of green energy technologies. 🌱🔋

📚 Top Notable Publications

  1. Single atom Ir on hematite photoanodes for solar water oxidation: catalyst or spectator?
    Journal of the American Chemical Society, 2023, 145(3), 1686–1695.
    ➤ Cited by 35+ articles.

  2. In-plane staging in lithium-ion intercalation of bilayer graphene
    Nature Communications, 2024, 15, 6933.
    ➤ Cited by 10+ articles.

  3. The role of carbon dots – derived underlayer in hematite photoanodes
    Nanoscale, 2020, 12, 20220–20229.
    ➤ Cited by 60+ articles.

  4. Carbon Dots in Solar to Hydrogen Conversion
    Trends in Chemistry, 2020, 2(7), 620–637.
    ➤ Cited by 85+ articles.

  5. Porous carbon nanosheets from biological nucleobase precursor as efficient pH-independent oxygen reduction electrocatalyst
    Carbon, 2020, 156, 179–186.
    ➤ Cited by 45+ articles.

  6. Study on the effects of interfacial interaction on the rheological and thermal performance of silica nanoparticles reinforced epoxy nanocomposites
    Composites Part B: Engineering, 2022, 245, 110214.
    ➤ Cited by 25+ articles.

  7. Photoelectrochemical imaging system with high spatiotemporal resolution for visualizing dynamic cellular responses
    Biosensors and Bioelectronics, 2021, 180, 113121.
    ➤ Cited by 40+ articles.

  8. High concentration Ti3+ in porous carbon‐doped TiO2 nanosheets for photocatalytic ammonia synthesis
    Advanced Materials, 2021, 33, 2008180.
    ➤ Cited by 50+ articles.

  9. Photoelectrochemical detection of calcium ions based on hematite nanorod sensors
    ACS Applied Nano Materials, 2022, 5, 17087–17094.
    ➤ Cited by 20+ articles.

  10. Label‑free imaging of cell apoptosis by a light‑addressable electrochemical sensor
    Analytical Chemistry, 2023, 95(23), 8898‑8905.
    ➤ Cited by 15+ articles.

 

Jian Sun | Smart Grid Control | Best Researcher Award

Assoc. Prof. Dr. Jian Sun | Smart Grid Control | Best Researcher Award

Associate Professor, Southwest University, China

Jian Sun is an Associate Professor in the School of Electronic and Information Engineering at Southwest University, Chongqing, China. With a strong academic and research background in automation and electrical engineering, his work focuses on control systems, reinforcement learning, and grid frequency regulation. Over the years, he has made significant contributions to the field through his publications and innovative approaches to tackling complex power grid challenges. 📚🔬

Publication Profile

ORCID

Education

Jian Sun earned his Ph.D. in Automation from Chongqing University in December 2014. He also completed a visiting Ph.D. program at the University of Wisconsin-Madison, USA, in 2014, specializing in Electrical and Computer Engineering. Prior to his doctoral studies, he obtained a Master’s degree in Automation and a Bachelor’s degree in the same field from Chongqing University. 🎓🌍

Experience

Jian Sun has extensive academic and research experience, currently serving as an Associate Professor at Southwest University. His expertise spans areas like frequency regulation in power systems, energy storage systems, and adaptive control techniques. He has published numerous papers in prestigious journals and has contributed to several interdisciplinary research projects. His work often combines advanced reinforcement learning techniques with cyber-physical systems. 💼🔧

Awards and Honors

Throughout his career, Jian Sun has received recognition for his outstanding research and contributions to the field. His work has been widely cited and appreciated by both academic and industry professionals. He continues to push the boundaries of research in smart grids, energy management, and reinforcement learning. 🏆📈

Research Focus

Jian Sun’s research focuses on developing adaptive and resilient control strategies for smart grids, particularly in the context of frequency regulation. His work includes the integration of Vehicle-to-Grid (V2G) technologies, reinforcement learning for DoS attack resilience, and advanced control systems for energy-efficient power grids. He aims to improve the stability and security of power systems in the face of cyber threats and dynamic load conditions. ⚡🧠

Conclusion

Jian Sun’s academic journey and research have contributed to advancements in smart grid technology, power system regulation, and control theory. His continued dedication to addressing critical challenges in energy systems positions him as a leading figure in his field. His research aims to make power systems smarter, more efficient, and resilient to emerging threats. 🌐🔋

Publications 

Load Forecasting for Commercial Buildings Using BiLSTM–Transformer Network and Cyber–Physical Cognitive Control Systems
Published Year: 2024
Journal: Symmetry
Cited by: Crossref

An Adaptive V2G Capacity-Based Frequency Regulation Scheme With Integral Reinforcement Learning Against DoS Attacks
Published Year: 2024
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

Cooperative Grid Frequency Control Under Asymmetric V2G Capacity via Switched Integral Reinforcement Learning
Published Year: 2024
Journal: International Journal of Electrical Power & Energy Systems
Cited by: Crossref

Resilient Frequency Regulation for DoS Attack Intensity Adaptation via Predictive Reinforcement V2G Control Learning
Published Year: 2024
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

Safe Online Integral Reinforcement Learning for Control Systems via Controller Decomposition
Published Year: 2023
Journal: Arabian Journal for Science and Engineering
Cited by: Crossref

A DoS Attack-Resilient Grid Frequency Regulation Scheme via Adaptive V2G Capacity-Based Integral Sliding Mode Control
Published Year: 2023
Journal: IEEE Transactions on Smart Grid
Cited by: Crossref

A DoS Attack Intensity-Aware Adaptive Critic Design of Frequency Regulation for EV-Integrated Power Grids
Published Year: 2023
Journal: International Journal of Electrical Power & Energy Systems
Cited by: Crossref

Structural Scheduling of Transient Control Under Energy Storage Systems by Sparse-Promoting Reinforcement Learning
Published Year: 2022
Journal: IEEE Transactions on Industrial Informatics
Cited by: Crossref

A Sparse Neural Network-Based Control Structure Optimization Game under DoS Attacks for DES Frequency Regulation of Power Grid
Published Year: 2019
Journal: Applied Sciences
Cited by: Crossref

A Stable Distributed Neural Controller for Physically Coupled Networked Discrete-Time System via Online Reinforcement Learning
Published Year: 2018
Journal: Complexity
Cited by: Crossref

Frequency Regulation of Power Systems with Self-Triggered Control under the Consideration of Communication Costs
Published Year: 2017
Journal: Applied Sciences
Cited by: Crossref