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, based on simulation models in Aspen, COMSOL, etc. c. Control theory & applications — including nonlinear systems, MPC, reinforcement learning, stability analysis, etc.
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research results in applied MPC Provide guidance and mentorship to graduate and undergraduate students working on related research projects Publish research findings in top-tier conferences and journals in
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Computation (MPC), Federated Learning (FL), blockchain, and Trusted Execution Environment (TEE). Be involved in the implementation of VC and MPC techniques in FL, blockchain, and TEE. Job Requirements
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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predictive control (MPC), data-driven approaches, and physics-informed models. Perform dynamic simulation and techno-economic and environmental assessment under real operating conditions and uncertainty
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industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification and