Xiaoxu Liu | Engineering | Best Researcher Award

Dr. Xiaoxu Liu | Engineering | Best Researcher Award

Associate Professor at Shenzhen Technology University, China

Dr. Xiaoxu Liu is an accomplished Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. He holds a Ph.D. in Electrical Engineering from the University of Northumbria and specializes in robust fault diagnosis, fault-tolerant control, stochastic systems, and multi-agent systems. Dr. Liu has published extensively in top-tier journals such as IEEE Transactions on Industrial Electronics and Automatica, and has served as Associate Editor for IEEE Transactions on Industrial Informatics. He has led multiple nationally funded research projects, securing over 3 million RMB in grants. His work integrates control theory with data-driven methods, addressing challenges in cyber-physical systems. Recognized as a Shenzhen Overseas High-level Talent, he has received numerous awards for research excellence and student mentorship. With international research experience and significant editorial contributions, Dr. Liu is a prominent figure in intelligent systems and control, demonstrating both academic leadership and impactful research contributions.

Professional Profile 

Scopus Profile

Education

Dr. Xiaoxu Liu possesses a strong and progressive academic background in engineering and applied mathematics. He earned his Ph.D. in Electrical Engineering from the University of Northumbria in the UK (2014–2018), where he specialized in fault-tolerant control systems and robust estimation. Prior to this, he completed a Master’s degree in Operations Research and Cybernetics at Northeastern University (2012–2014), and a Bachelor’s degree in Information and Computing Science at the same university (2008–2012). His educational path reflects a solid foundation in both theoretical and applied aspects of control systems, cybernetics, and intelligent systems. This combination of mathematical rigor and engineering application has laid the groundwork for his interdisciplinary research approach. His international academic journey has also helped him build a global perspective and a collaborative mindset, both of which have been instrumental in his subsequent professional and research achievements.

Professional Experience

Dr. Xiaoxu Liu has built an impressive academic and research career marked by rapid progression and leadership. Since December 2021, he has served as an Associate Professor at the Sino-German College of Intelligent Manufacturing, Shenzhen Technology University. Before that, he was an Assistant Professor at the same institution from 2018 to 2021. He also held research and teaching positions internationally, including as a Research Associate at the Faculty of Mathematics, City University of Hong Kong, and as a Lecturer at the University of Northumbria. Throughout these roles, Dr. Liu has led cutting-edge research projects, mentored students, and contributed to institutional development. He has acted as the principal investigator for numerous funded research programs, reflecting his capacity to lead independently and strategically. His experience demonstrates not only academic proficiency but also a sustained commitment to advancing intelligent systems research and fostering interdisciplinary collaboration in both teaching and applied engineering contexts.

Research Interest

Dr. Xiaoxu Liu’s research spans several high-impact areas within intelligent systems and control engineering. His primary interests include robust fault diagnosis, fault-tolerant control, stochastic nonlinear systems, and multi-agent systems. He also ocuses on cyber-physical systems and data-driven control, areas highly relevant to Industry 4.0 and autonomous system applications. Dr. Liu’s work often combines theoretical rigor with practical relevance, leveraging modern tools like deep reinforcement learning and Takagi-Sugeno fuzzy models to address real-world challenges such as actuator faults in UAVs or wind turbine resilience. His interdisciplinary approach blends classical control theory with artificial intelligence, enhancing system adaptability and reliability. His research outputs—published in top-tier journals like IEEE Transactions on Industrial Electronics—demonstrate not only novelty but also applicability to emerging technologies. Dr. Liu’s ability to connect robust theory with practical implementations positions him as a thought leader in intelligent manufacturing and autonomous system control.

ward and Honor

Dr. Xiaoxu Liu has received multiple awards that recognize his research excellence, academic leadership, and contributions to engineering education. He was honored as a Shenzhen Overseas High-level Talent in 2019, highlighting his strategic value to China’s academic and technological development. He has earned several Best Paper and Best Presentation Awards from prestigious conferences and journals, such as the IEEE Industrial Electronics Society and Processes. Dr. Liu also received the IEEE IES Student Paper Travel Award and various recognitions for his mentorship of student teams who achieved national-level prizes in robotics and circuit design competitions. These accolades underscore both the quality and impact of his scholarly work and his dedication to student development. His involvement as an Associate Editor for IEEE Transactions on Industrial Informatics and reviewer for top IEEE journals further validates his status as a trusted expert in his field. These honors collectively reflect his rising prominence in the global research community.

Conclusion

In summary, Dr. Xiaoxu Liu stands out as a highly capable and accomplished researcher in the field of intelligent control systems. With a solid educational foundation, diverse professional experience across top institutions, and a research portfolio that blends theoretical innovation with real-world application, he exemplifies academic excellence. His focus on robust fault diagnosis, resilient control systems, and data-driven approaches addresses some of the most pressing challenges in cyber-physical systems and smart manufacturing. Recognized nationally and internationally through numerous awards, editorial roles, and funded projects, Dr. Liu has established himself as a leader in his domain. He continues to advance the field through impactful publications, student mentorship, and collaborative projects. His trajectory reflects not only technical expertise but also a broader commitment to scientific progress and educational excellence. As such, Dr. Liu is highly deserving of recognition through accolades such as the Best Researcher Award.

Publications Top Notes

  • Title: Joint Observer Based Fault Tolerant Control for Discrete-Time Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables

    • Authors: Xiaoxu Liu, Risheng Li, Zhiwei Gao, Bowen Li, Tan Zhang

    • Year: 2025

  • Title: Multiagent Formation Control and Dynamic Obstacle Avoidance Based on Deep Reinforcement Learning

    • Authors: Zike Yuan, Chenhao Yao, Xiaoxu Liu, Zhiwei Gao, Wenwei Zhang

    • Year: 2025

  • Title: Fault Estimation for Cyber–Physical Systems with Intermittent Measurement Transmissions via a Hybrid Observer Approach

    • Authors: Jingjing Yan, Chao Deng, Weiwei Che, Xiaoxu Liu

    • Year: 2024

    • Citations: 5

  • Title: Reinforcement Learning-Based Fault-Tolerant Control for Quadrotor UAVs Under Actuator Fault

    • Authors: Xiaoxu Liu, Zike Yuan, Zhiwei Gao, Wenwei Zhang

    • Year: 2024

    • Citations: 12

Nasimuddin | Engineering | Best Researcher Award

Dr. Nasimuddin | Engineering | Best Researcher Award

Principal Scientist I2R ASTAR  Singapore

Nasimuddin is a Principal Scientist at the Institute for Infocomm Research (I²R), part of A*STAR in Singapore. With a distinguished career in RF and antenna engineering, he has contributed extensively to the fields of wireless power transmission, sensor design, and advanced antenna systems for a variety of applications including satellite communications and energy harvesting. Nasimuddin’s work bridges industry and academia, evidenced by his collaborations, industry technology transfers, and numerous patents.

profile

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Education 🎓

  • Ph.D. in Electronic Science (2004): University of Delhi, India
    Thesis: Analysis and design of multilayer slow-wave microstrip structures and multilayered microstrip antennas.
  • M.Tech. in Microwave Electronics (1998): University of Delhi, India
  • M.Sc. in Electronics (1996): Jamia Millia Islamia, India
  • B.Sc. in Physics, Mathematics, Chemistry (1994): Jamia Millia Islamia, India

Experience 🏢

Nasimuddin has held various research and teaching roles. Since 2006, he has been part of I²R, A*STAR Singapore, where he currently serves as a Principal Scientist. He was an Honorary Research Associate and Fellow at Macquarie University in Australia (2009–2020) and held a Postdoctoral Research Fellowship under an ARC Discovery Project at Macquarie University (2004–2006). He has also conducted specialized courses in RF energy harvesting applications at NIT Silchar, India.

Research Interests 🔬

Nasimuddin’s research interests include:

  • Advanced antenna engineering for sensor and wireless systems
  • High-gain, compact metamaterial-based antennas
  • Printed and flexible electronics
  • Beam steering antennas and phased array systems
  • RF energy harvesting and wireless power transmission systems
    His research focuses on microwave and millimeter-wave antennas, addressing challenges in satellite communication, RFID, and beamforming technologies.

Awards 🏆

  • Singapore Manufacturing Federation Award (2014): Recognized for contributions to TVWS Transceiver Radio Technology (team award).
  • Dedicated Service Award (2022): Honored for 15 years at I²R, Singapore.
  • Long Service Awards (2012, 2017): For 5 and 10 years at I²R, Singapore.
  • Young Scientist Award (2005): Awarded by the International Union of Radio Science (URSI).
  • M.Tech. Merit Scholarship (1996): University of Delhi, for outstanding academic performance.

Publications Top Notes📚:

Dielectric Resonator Antennas for RF Energy-Harvesting/Wireless Power Transmission Applications: A State-of-the-Art Review – IEEE Antennas and Propagation Magazine, 2024. Cited by 12 articles.

Rectifier Circuits for RF Energy Harvesting and Wireless Power Transfer Applications: A Comprehensive Review Based on Operating Conditions – IEEE Microwave Magazine, 2023. Cited by 18 articles.

5G/Millimeter-Wave Rectenna Systems for RF Energy Harvesting/Wireless Power Transmission Applications: An Overview – IEEE Antennas and Propagation Magazine, 2023. Cited by 25 articles.

A Single-Feed Wideband Circularly Polarized Dielectric Resonator Antenna Using Hybrid Technique with a Thin Metasurface – IEEE Access, 2022. Cited by 10 articles.

Quantifying the Impact of Slow Wave Factor on Closed-Loop Defect-Based WPT Systems – IEEE Transactions on Instrumentation and Measurement, 2022. Cited by 8 articles.