Jiantao Shi | Robotics and Automation | Best Researcher Award

Jiantao Shi | Robotics and Automation | Best Researcher Award

Mrs Jiayun Nie, chongqing Jiaotong University, China

Jiayun Nie is a distinguished professor at Nanjing Tech University, China, specializing in cooperative control of multi-robot systems, fault diagnosis, and fault-tolerant control of distributed systems. πŸ“‘ With a Ph.D. in Control Science and Engineering from Tsinghua University, she has made pioneering contributions to multi-agent systems, UAV adaptive control, and reinforcement learning-based fault diagnosis. βœˆοΈπŸ” Her research has led to high-impact publications on fault estimation, bipartite consensus, and deep learning models for system diagnostics. πŸ€– She has served as a research fellow at the Nanjing Research Institute of Electronic Technology and has received recognition as an Outstanding Reviewer for the Journal of the Franklin Institute (2017). πŸ“š Her latest work explores AI-driven fault-tolerant frameworks for autonomous systems and aerospace applications. πŸš€ With a stellar academic record and transformative research, she is a deserving recipient of the Best Researcher Award. πŸ…

Publication Profile

Orcid

Education

Jiayun Nie’s academic journey is marked by excellence in control science and automation engineering. She earned her Ph.D. in Control Science and Engineering from Tsinghua University (2011-2016), focusing on fault-tolerant systems and adaptive control strategies for multi-robot cooperation. πŸ€–πŸ” Her doctoral research introduced novel iterative learning algorithms for fault estimation and compensation, improving system reliability. Before this, she completed her B.E. in Electrical Engineering and Automation at Beijing Institute of Technology (2007-2011), where she laid the groundwork in robotic control, embedded systems, and automation engineering. πŸŽ›οΈβš‘ During her studies, she was actively involved in research projects on UAV dynamics and cooperative control theory, leading to early publications and innovative designs for fault-resilient robotics. πŸš€ Her strong educational foundation, combined with rigorous research, has positioned her as a global leader in fault diagnosis and control engineering. πŸ“š

Experience

Jiayun Nie has an extensive academic and research career, currently serving as a Professor at Nanjing Tech University (2021-present), where she leads groundbreaking work on distributed control and autonomous systems. πŸ€–πŸ” Prior to this, she was a Research Fellow (2019-2021) and Associate Research Fellow (2016-2018) at the Nanjing Research Institute of Electronic Technology, contributing to fault detection models for phased array radar transceivers and advanced control strategies for UAVs. βœˆοΈπŸ“‘ Her expertise in adaptive control and AI-driven fault detection has been instrumental in developing next-generation intelligent robotic networks. πŸš€ Throughout her career, she has collaborated with leading research institutions, advancing the state-of-the-art in reinforcement learning-based fault diagnosis, consensus control, and multi-agent fault-tolerant frameworks. πŸ… Her work continues to influence aerospace, robotics, and autonomous vehicular technologies, making her an authority in the field. πŸ“š

Awards and Honors

Jiayun Nie’s outstanding contributions to robotics and fault-tolerant control have earned her several prestigious accolades. πŸŽ–οΈ She was recognized as an Outstanding Reviewer for the Journal of the Franklin Institute (2017) πŸ“š, reflecting her expertise in control systems and automation engineering. πŸš€ Her innovative research on fault diagnosis in distributed robotic systems has been cited extensively, leading to multiple best paper awards at international IEEE and IFAC conferences. πŸ… She has received multiple grants and funding awards for her pioneering work in multi-agent cooperative control and AI-driven adaptive learning control. πŸ€– As a highly regarded professor and researcher, her contributions continue to impact autonomous systems, aviation safety, and smart robotics. ✈️ With her extensive publications and transformative research, she is a deserving recipient of the Best Researcher Award, recognized for her excellence in innovation and scientific advancement. πŸ†πŸ“‘

Research Focus

Jiayun Nie’s research revolves around cooperative control, fault diagnosis, and learning-based fault-tolerant strategies in autonomous systems. πŸ€– She has made significant breakthroughs in multi-robot cooperation, bipartite consensus, and AI-driven adaptive fault detection. πŸ“Š Her work in fault-tolerant control enhances resilience in UAVs and aerospace systems, ensuring robustness against unknown disturbances and failures. ✈️ She has developed deep learning and reinforcement learning models for self-healing robotic networks, transforming distributed control frameworks. πŸ… Her studies in event-based control, collision avoidance, and system stability have contributed to advancements in autonomous vehicle technology. πŸš€ By integrating data-driven methods with real-time fault estimation, her research provides solutions for smart transportation, defense, and aerospace industries. πŸ“‘ With numerous high-impact publications, Jiayun Nie’s pioneering work defines the future of adaptive robotics and autonomous systems. πŸŽ“

Publications Top Notes

  1. “A parallel weighted ADTC-Transformer framework with FUnet fusion and KAN for improved lithium-ion battery SOH prediction” πŸ”‹ (2025)
  2. “Bipartite Fault-Tolerant Consensus Control for Multi-Agent Systems with a Leader of Unknown Input Under a Signed Digraph” πŸ€– (2025)
  3. “Iterative learning based fault estimation for stochastic systems with variable pass lengths and data dropouts” πŸ“Š (2025)
  4. “A Two-Stage Fault Diagnosis Method With Rough and Fine Classifiers for Phased Array Radar Transceivers” πŸ“‘ (2024)
  5. “An intuitively-derived decoupling and calibration model to the multi-axis force sensor using polynomials basis” πŸ“Š (2024)
  6. “Event-Based Adaptive Fault Tolerant Control and Collision Avoidance of Wheel Mobile Robots With Communication Limits” πŸ€– (2024)
  7. “Reinforcement Learning-Based Fault Tolerant Control Design for Aero-Engines With Multiple Types of Faults” ✈️ (2024)

chen yan | Engineering and Technology | Best Researcher Award

chen yan | Engineering and Technology | Best Researcher Award

Dr chen yan, Shantou Polytechnic, China

Dr. Chen Yan πŸŽ“ is a dedicated researcher in Structural Engineering, holding a Ph.D. from Shantou University πŸ—οΈ. Currently a Postdoc at Shantou University and a Lecturer at Shantou Polytechnic πŸ“š, Dr. Chen specializes in foamed concrete modification, geopolymer materials, and building sustainability 🌱. With numerous journal publications πŸ“„, patents βš™οΈ, and leadership in scientific projects πŸ”¬, he has guided students to win prestigious competitions πŸ†. Honored as a “Shantou Youth Skilled Expert” in 2021 🌟, his work bridges academic excellence and practical innovation in civil engineering 🏒.

Publication Profile

Scopus

Education BackgroundΒ 

Dr. Chen Yan πŸŽ“ is a dedicated scholar in Civil and Environmental Engineering. Currently a Postdoctoral Researcher at Shantou University 🏫 (since December 2024), Dr. Yan earned a Ph.D. in Structural Engineering (2015–2024) and a Master’s in the same field (2010–2013) from Shantou University, Guangdong, China 🌏. His academic journey began with a Bachelor’s in Civil Engineering from Hebei Normal University of Science & Technology (2005–2009) πŸ—οΈ. With a strong foundation in structural engineering, Dr. Yan focuses on innovative research, contributing to advancements in civil infrastructure and environmental sustainability πŸŒ±πŸ”¬.

Experience

Dr. Chen Yan has been a dedicated Lecturer at Shantou Polytechnic, Guangdong, China, since July 2013 πŸ“š. She teaches courses like “G101 Flat Method Drawing and Detail Application” and “Building Mechanics and Structure” πŸ—οΈ. As a first advisor, she guided students to win prestigious awards, including the Grand Award and “Excellent Advisor Award” at the 15th “Challenge Cup” in 2019 πŸ†. She also mentored projects under the “Climbing Plan” and secured Innovation Awards in entrepreneurship competitions πŸ’‘. Earlier, she served as Assistant Project Manager at Dongguan Fuying Real Estate Co., Ltd. (2009–2010), assisting with construction applications 🏒.

AwardsΒ 

Dr. Chen Yan πŸ… was honored with the title of “Shantou Youth Skilled Expert” for the 2020-2021 period in recognition of exceptional expertise and contributions. In July 2023, Dr. Yan successfully presided over the application for the “Off-campus Practical Teaching Demonstration Base for Engineering Cost Major” in collaboration with Jichuanying Ancient Building Construction Co., Ltd. πŸ—οΈ This initiative received official certification from the Guangdong Provincial Department of Education πŸŽ“, highlighting Dr. Yan’s dedication to enhancing practical teaching and promoting academic-industry integration. 🌟

Research InterestsΒ 

Dr. Chen Yan specializes in foamed concrete modification research πŸ§ͺπŸ—οΈ, focusing on enhancing the performance of cementitious materials. His work includes the analysis of micro-properties of these materials πŸ”¬, providing insights into their structural behavior. He also utilizes numerical simulation techniques πŸ’» to predict and optimize the performance of cementitious composites. Dr. Yan’s research extends to innovative geopolymer materials 🌍, promoting eco-friendly construction solutions. Additionally, he is dedicated to advancing building energy efficiency and sustainability 🌱🏒, contributing to greener and more energy-efficient architectural designs. His multidisciplinary approach drives innovation in modern construction technologies. πŸš€

Project Leadership

Dr. Chen Yan’s research focuses on material performance improvement and vocational education strategies. πŸ§ͺπŸ”¬ In the field of materials science, Dr. Chen explores innovative techniques to enhance material durability, efficiency, and sustainability, contributing to advancements in industrial applications. βš™οΈπŸŒ Simultaneously, Dr. Chen is dedicated to improving vocational education, developing strategies to align technical skills with evolving industry demands. πŸŽ“πŸ“š His work bridges the gap between scientific innovation and practical workforce development, ensuring that both materials and human resources achieve optimal performance. πŸš€πŸ€ Through government-funded projects, Dr. Chen fosters growth in both technology and education sectors. πŸ’ΌπŸ”

Research Focus

Dr. Chen Yan’s research focuses on materials science and civil engineering πŸ—οΈπŸ”¬. Specializing in the preparation and properties of wollastonite-microfiber-modified foamed concrete πŸ§ͺ🧱, Dr. Yan explores advanced construction materials to enhance mechanical strength, durability, and thermal insulation 🌑️⚑. The work emphasizes optimizing foamed concrete with wollastonite microfibers to improve structural performance, lightweight applications, and eco-efficiency πŸŒβ™»οΈ. This research contributes significantly to sustainable building technologies, offering innovative solutions for modern construction projects πŸ’πŸš€. Dr. Yan’s studies bridge the gap between material innovation and real-world construction needs, promoting resilience and sustainability in infrastructure development πŸŒ†πŸžοΈ.

Publication Top Notes

Preparation and properties of wollastonite-microfiber-modified foamed concrete