Seth J. Lim
Postdoctoral Researcher at The University of Sheffield
About
I am Seth J. Lim, a Postdoctoral Researcher at The University of Sheffield specializing in swarm robotics and control systems engineering. My career has spanned from coordinating large-scale EU Horizon 2020 grants at Fraunhofer to developing structural health monitoring for aircraft turbines at Rolls-Royce. I recently completed my PhD focusing on the distributional modeling and control of large-scale passive swarm robots. I am passionate about translating biological swarm behaviors into practical, high-performance autonomous systems. I offer a unique blend of academic depth and industrial experience in aerospace and renewable energy. I am currently looking to connect with professionals and organizations working on cutting-edge robotic technologies where I can apply my expertise in multi-agent optimization and scalable control algorithms.
Networking
What I can offer
- ›Expertise in swarm-inspired control and multi-agent optimization
- ›Industrial experience in aerospace and renewable energy sectors
- ›Experience in large-scale international research grant coordination
Looking for
- ›Opportunities to apply swarm-inspired control to cutting-edge robotic technologies
- ›expanding my professional network
- ›exploring mutual opportunities in robotics and control systems engineering
Best fit for
Current Interests
Background
Career
Transitioned from civil engineering to renewable energy research at Fraunhofer, then to aerospace modeling at Rolls-Royce, and finally to a PhD and postdoctoral research in swarm robotics and control systems.
Education
Ph.D. and M.Sc. in Robotics and Control Systems Engineering, The University of Sheffield (2017 – 2025); M.Sc. in Renewable Energy Systems, DTU (2011 – 2013); B.Sc. in Civil Engineering, Cornell University (2007 – 2011).
Achievements
- ›Coordinated EU Horizon 2020 grant applications across 16 international partner institutions.
- ›Developed structural health monitoring systems for Rolls-Royce aircraft gas turbines.
- ›Developed distributional algorithms for scalable cooperation among autonomous agents.
Opinions
- Distributional algorithms are the key to enabling scalable and robust cooperation in large-scale autonomous agent groups.
- Theoretical research like swarm-inspired control must be moved into practical, high-performance real-world applications.