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

Bita Ayati | Engineering | Best Researcher Award

Assoc Prof Dr. Bita Ayati | Engineering | Best Researcher Award

Assoc Prof Dr. Bita Ayati , Tarbiat Modares University , Iran

Dr. Bita Ayati is a distinguished researcher in the field of engineering, known for her innovative contributions to materials science and sustainable engineering practices. She earned her PhD in Engineering from [University Name], where her groundbreaking research focused on [specific topic or project]. Dr. Ayati has published numerous peer-reviewed articles and has been recognized with several awards for her impactful work. Currently, she serves as a faculty member at [Institution Name], where she teaches and mentors aspiring engineers while leading advanced research projects. Her dedication to fostering collaboration and knowledge exchange within the engineering community makes her a leading figure in her field.

Publication Profile

Scopus

Scholar

 

Awards

Dr. Bita Ayati has received numerous prestigious awards throughout her academic career, recognizing her outstanding contributions to education and research. She was honored as the Best University Professor at Tarbiat Modares University in both 2023 and 2017, and named Best University Researcher in 2016. In March 2015, she received the Young Researcher Award at the 10th Annual Dr. Taghi Ebtekar Environmental Awards. Her scholarly works have also been acknowledged, with nominations for Best Book at IRDA 2012 and winning the Students’ Book of the Year Award in 2011. Additionally, she has been recognized as the Best Researcher at Tarbiat Modares University in 2010 and received the Best Paper Award at CELCO in 2007. Dr. Ayati achieved First Rank in her Ph.D. program and was also recognized as the top Ph.D. student in Iran for the academic year 2004-2005. Her accolades include the Thematic Man and Biosphere (MAB) Young Scientist Award from UNESCO in 2002 and top rankings in her Master’s and Bachelor’s programs at Sharif University of Technology.

 

Education

Dr. Bita Ayati holds a Ph.D. in Civil (Environmental) Engineering from Tarbiat Modares University, completed in March 2005. She also earned her M.Sc. in Civil (Environmental) Engineering from Sharif University of Technology between 1996 and 1998. Earlier, she obtained her B.Sc. in Chemical Engineering from the same institution, graduating in 1996. Her academic journey reflects a strong foundation in both engineering disciplines, emphasizing her commitment to environmental sustainability and innovation.

Experience

Dr. Bita Ayati has extensive professional experience in environmental engineering, currently serving as the Head of the Environmental Engineering Division at Tarbiat Modares University since June 2023, after previously holding the same position from March 2020 to March 2022. She has been an Associate Professor in the Civil and Environmental Engineering Faculty since September 2010 and served as an Assistant Professor from July 2005 to September 2010. Additionally, Dr. Ayati led the Environmental Engineering Laboratory since 1999 and was a member of the HSE Committee from December 2012 to October 2016. Earlier in her career, she contributed to Yekom Consulting Engineering, focusing on the literature review of environmental assessments from 1996 to 1997. Her leadership and academic roles highlight her commitment to advancing the field of environmental engineering.

Professional Training

Dr. Bita Ayati has pursued extensive professional training to enhance her expertise in environmental engineering and related fields. Notable courses include the “Plastics: Impacts and Action” online course from Cornell University (2021) and participation in the Water Initiative South Asia (WISA) in Istanbul (2018). She attended the Matchmaking Workshop between the Leibniz Association and Iranian Researchers in Berlin (2017), as well as the Middle East and North Africa Group Invitation Program by the Japan Foundation (2017). Additionally, Dr. Ayati was part of the International Visitor Leadership Program in the USA focused on wetland management (2016) and attended an EABRN-UNESCO training workshop on Remote Sensing & GIS in Beijing (2011). Her training also includes various workshops in Iran on clean air strategies, water treatment, and hazardous waste management, demonstrating her commitment to professional development in environmental issues.

Publication Top Notes

M.G. Rahimi, Removal of petroleum hydrocarbons from wastewater using photolysis-moving bed biofilm reactor hybrid system, Accepted for Publication in Journal of Advanced Environmental Research and Technology.

R. Haririyan Javan, M. Seyyedi, B. Ayati, Evaluation of treatment and energy efficiencies of an advanced electrochemical system for Chlorella removal equipped with aluminum, graphite, and RGO nanoparticle-coated cathodes, Journal of Water Science and Engineering, January 2024, https://doi.org/10.1016/j.wse.2023.12.004.

S. Gan, Y. Meng, Z. Lin, C. Zheng, A. Zhu, H. Ganjidoust, B. Ayati, A. Huo, Efficient Removal of Antimony (V) from Antimony Mine Wastewater by Micrometer Zero-Valent Iron, Langmuir, 2023, 39(42), 14945–14957, https://doi.org/10.1021/acs.langmuir.3c01787.

H. Sadati, B. Ayati, Using A Promising Biomass-Based Biochar in Photocatalytic Degradation: Highly Impressive Performance of RHB/SnO2/Fe3O4 for Elimination of AO7, Journal of Photochemistry and Photobiology, 2023, 22(6), 1445-1462, https://doi.org/10.1007/s43630-023-00389-2.

M.G. Rahimi, B. Ayati, R.D. Webster, Removal of Petroleum Hydrocarbons from Wastewater using Photolysis-Moving Bed Biofilm Reactor Hybrid System, Journal of Advanced Environmental Research and Technology, 2023, 1(3), 25-34.

M.A. Mousavian, S. Hosseini, B. Ayati, Bioelectricity Generation and Decolorization of Reactive Blue 221 Using a Modified Cathode Dual-Chamber Microbial Fuel Cell, Water, 2023, 15(1), 101, https://doi.org/10.3390/w15010101.

S. Entezari, M. Abdullah Al, A. Mostashari, H. Ganjidoust, B. Ayati, J. Yang, Microplastics in urban waters and its effects on microbial communities: A critical review, Environmental Science and Pollution Research, 2022, 29(59), 88410-88431, https://doi.org/10.1007/s11356-022-23810-2.

M. Ghalebizade, B. Ayati, Modeling, Optimization and Kinetic Investigation of Acid Orange 7 Degradation using Ozonation in A Cylindrical Reactor with Recirculation Flow with RSM, Modares Civil Engineering Journal, 2022, 22(4), 19-31. (In Persian)

M. Seyyedi, B. Ayati, Design and Optimization of a Sequential and Hybrid AOP System using RSM, Applied Water Engineering and Research, 2023, 11(3), 381-393, https://doi.org/10.1080/23249676.2022.2125092.

F. Habibi, M. Seyyedi, B. Ayati, Synthesis and Application of Reusable and Magnetic RGO/Fe3O4 Nanocomposites in BR46 Removal from an Aqueous Solution; Future Prospects of an Efficient Adsorption Platform, Journal of Materials and Environmental Science, 2022, 13(8), 900-913.