Lijun Zong | Robotics and AI | Best Researcher Award

Assoc. Prof. Dr Lijun Zong | Robotics and AI | Best Researcher Award

Associate Professor, Northwestern Polytechnical University, China

Lijun Zong, born on April 28, 1991, in Zhangye, Gansu, China, is an Associate Professor at Northwestern Polytechnical University. A prolific researcher in aerospace robotics, his contributions focus on modular, reconfigurable robots and space manipulator systems. He earned his B.Sc. in Detection, Guidance, and Control Technology from Beijing Institute of Technology, followed by M.Sc. and Ph.D. degrees in Aerospace Vehicle Design at Northwestern Polytechnical University. As a visiting scholar at the University of Toronto Institute for Aerospace Studies, he honed his expertise in hardware-in-the-loop synthesis for space manipulators. Dr. Zong’s groundbreaking research has led to numerous publications in top-tier journals, reflecting his leadership in aerospace robotics.

PROFISSIONAL PROFILE

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STRENGTHS FOR THE AWARD

Dr. Lijun Zong’s distinguished research contributions to aerospace robotics, particularly in the domain of space manipulators and their control systems, make him an outstanding candidate for the Best Researcher Award. His work on reactionless control, trajectory optimization, and hardware-in-the-loop simulations addresses critical challenges in modern aerospace engineering.

  1. Pioneering Publications: Dr. Zong has authored impactful papers in high-ranking journals such as IEEE Transactions on Aerospace and Electronic Systems and Aerospace Science and Technology. Key works include advancements in reactionless control for free-floating space manipulators and concurrent rendezvous control of underactuated manipulators.
  2. Global Research Exposure: As a visiting scholar at the University of Toronto Institute for Aerospace Studies, Dr. Zong collaborated internationally, enhancing the global applicability and validation of his research.
  3. Advanced Methodologies: His research employs cutting-edge approaches, such as mixed-integer predictive control, concurrent learning, and game-theoretic optimization, to address practical and theoretical aerospace challenges.
  4. Proven Impact: His work has been cited frequently, reflecting its relevance and influence in academia and industry. Topics like modular and reconfigurable robotics demonstrate innovative solutions for future aerospace missions.
  5. Leadership in Aerospace Research: As an Associate Professor at Northwestern Polytechnical University, Dr. Zong has demonstrated his capability in leading research teams, publishing prolifically, and mentoring future aerospace engineers.

AREAS FOR IMPROVEMENT

  1. Industry Collaboration: While Dr. Zong’s academic achievements are remarkable, deeper collaborations with aerospace industries could further validate his methodologies in real-world applications.
  2. Public Engagement: Increasing the visibility of his work through outreach programs or public talks could help bridge the gap between cutting-edge research and societal understanding of aerospace advancements.
  3. Interdisciplinary Expansion: Expanding his research to include intersections with artificial intelligence and machine learning could further enhance the robustness of his control systems for aerospace applications.

EDUCATION 

  • Ph.D. in Aerospace Vehicle Design (2015–2020)
    Northwestern Polytechnical University, Xi’an, China
    Thesis: “Optimal Trajectory Planning and Coordinated Control for Space Manipulators Capturing a Tumbling Target” | Advisor: Prof. Jianjun Luo
  • Visiting Scholar (2016–2018)
    University of Toronto Institute for Aerospace Studies, Toronto, Canada
    Subject: “Hardware-in-the-loop Synthesis and Analysis of Space Manipulators”
  • M.Sc. in Aerospace Vehicle Design (2013–2015)
    Northwestern Polytechnical University, Xi’an, China
    Thesis: “Occasion Determination and Control for Space Manipulators Capturing Tumbling Targets”
  • B.Sc. in Detection, Guidance, and Control Technology (2009–2013)
    Beijing Institute of Technology, Beijing, China

EXPERIENCE 

  • Associate Professor (Present)
    Northwestern Polytechnical University, Xi’an, China
    Specializing in aerospace robotics, modular systems, and trajectory optimization.
  • Visiting Researcher (2016–2018)
    University of Toronto Institute for Aerospace Studies, Toronto, Canada
    Conducted research in hardware-in-the-loop simulations for space manipulators under Prof. M. Reza Emami.
  • Postdoctoral Researcher (2020)
    Focused on control strategies for space manipulators and robotic systems.
  • Early Research Experience (2013–2020)
    Developed concurrent learning and control techniques for space manipulators and obstacle-avoidance strategies during doctoral and master’s studies.

AWARDS AND HONORS 

  • Best Researcher Award in Aerospace Robotics (2023)
  • IEEE Outstanding Contribution Award (2021)
  • Young Scientist Award by Northwestern Polytechnical University (2019)
  • Journal of Aerospace Excellence Reviewer Recognition (2018)
  • Top 10 Innovators in Robotics by China Robotics Forum (2017)

RESEARCH FOCUS 

Dr. Zong’s research focuses on aerospace robotics, including modular and reconfigurable robots, reactionless control mechanisms, and trajectory optimization. His pioneering work addresses critical challenges in space manipulator systems—particularly in the rendezvous and capture of tumbling targets. He is advancing technologies in hardware-in-the-loop simulations, obstacle avoidance strategies, and predictive control mechanisms. Dr. Zong is also investigating energy-efficient robotic systems and adaptive learning techniques for aerospace applications, driving the future of modular robotic designs and dynamic system stability.

PUBLICATION TOP NOTES

  1. 🚀 Concurrent Rendezvous Control of Underactuated Space Manipulators
  2. 🌌 Parameters Concurrent Learning and Reactionless Control in Post-capture of Unknown Targets by Space Manipulators
  3. 🤖 Reactionless Control of Free-floating Space Manipulators
  4. 🛰️ Concurrent Base-Arm Control of Space Manipulators with Optimal Rendezvous Trajectory
  5. 🌍 Obstacle Avoidance Handling and Mixed Integer Predictive Control for Space Robots
  6. 🌠 Optimal Capture Occasion Determination and Trajectory Generation for Space Robots Grasping Tumbling Objects
  7. 🔧 Optimal Concurrent Control for Space Manipulators Rendezvous and Capturing Targets under Actuator Saturation
  8. 🔬 Kinematics Modeling and Control of Spherical Rolling Contact Joint and Manipulator
  9. ⚙️ Control Verifications of Space Manipulators Using Ground Platforms
  10. ✨ Energy Sharing Mechanism for a Freeform Robotic System-Freebot

CONCLUSION

Dr. Lijun Zong’s expertise and impactful contributions to aerospace robotics position him as a strong contender for the Best Researcher Award. His innovative work addresses pivotal challenges in space exploration, offering practical and theoretical solutions that elevate the field of aerospace engineering. With continued advancements and increased interdisciplinary collaborations, Dr. Zong is well-poised to maintain his trajectory as a leader in aerospace research.

Li Ding | Robotics | Best Researcher Award

Prof. Li Ding | Robotics | Best Researcher Award

Professor, Jiangsu University of Technology, China

Ding Li is an Associate Professor at the College of Mechanical Engineering, Jiangsu University of Technology. With a robust academic background and extensive research experience, he specializes in mechatronic engineering, particularly focusing on robotic systems and control dynamics.

Profile

Scopus

🎓 Education

Ding Li completed his educational journey with a Ph.D. in Mechatronic Engineering from Nanjing University of Aeronautics and Astronautics (2013-2016). Prior to this, he earned a Master’s in Mechanical Engineering from Anhui University of Science and Technology (2011-2013) and a Bachelor’s in Mechanical Manufacturing and Automation from Jiangsu University of Technology (2007-2011).

💼 Experience

Ding has held various academic positions, including:

  • Associate Professor (June 2019 – Present) at Jiangsu University of Technology
  • Associate Professor (November 2021 – August 2022) at the National Natural Science Foundation of China
  • Lecturer (October 2016 – May 2019) at Jiangsu University of Technology
  • Lecturer (March 2018 – March 2019) at Hong Kong Polytechnic University

🔬 Research Interests

Ding’s research interests encompass the dynamics and control of robotic systems, particularly in areas such as cable-driven manipulators, intelligent operating flying robots, and hydraulic systems. His work aims to enhance automation and efficiency in various engineering applications.

🏆 Awards

Ding Li has received several prestigious accolades, including:

  • First Prize for Science and Technology Progress from the China Mechanical Engineering Society (3rd class, 2022)
  • Outstanding Youth Key Teacher Award from Jiangsu University’s “Blue Project” (2022)
  • Changzhou Natural Science Excellence Award (2nd prize, 2019)

📚 Publications Top Notes

Ding Li has contributed significantly to academic literature, with notable publications including:

Optimal Joint Space Control of a Cable-Driven Aerial Manipulator (Computer Modeling in Engineering & Sciences, 2023)

Observer-Based Control for a Cable-Driven Aerial Manipulator under Lumped Disturbances (CMES – Computer Modeling in Engineering & Sciences, 2023)

Adaptive Robust Control via a Nonlinear Disturbance Observer for Cable-driven Aerial Manipulators (International Journal of Control, Automation and Systems, 2023)