My long-term research vision is to create persistent and robust robot decision-making systems capable of functioning in complex, unstructured environments, where intelligent systems can have a profound societal impact in areas such as environmental monitoring, search and rescue, and cargo or passenger transportation.

Through a combination of theoretical and practical approaches, my key contributions include: adaptive robot action with guaranteed collision avoidance in dense traffic through geometric modeling of encounter situations; fast computation of feasible ASV actions by novel motion attribute-based clustering of multiple obstacles; enhanced safety in navigation despite uncertainties in obstacle passing using information-based models and deep-learning-based predictions; Pareto-optimality, multi-criteria decision-making, topological planning, and stable LiDAR-based in-water obstacle detection despite data sparsity through efficient connected clustering.

• 𝗦𝘁𝗮𝗿𝘁 𝗱𝗮𝘁𝗲: Spring 2026 (Deadline Sep 1, 2025), and Fall 2026 (Deadline Dec 30). 𝗧𝗵𝗲 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝘄𝗵𝗼 𝘄𝗶𝗹𝗹 𝗮𝗽𝗽𝗹𝘆 𝗳𝗼𝗿 𝗦𝗽𝗿𝗶𝗻𝗴 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗴𝗶𝘃𝗲𝗻 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝘆. I highly encourage you to contact me early.

Please send an email to 𝗺𝗶𝗻𝗴𝗶𝗷𝗲𝗼𝗻𝗴[𝗮𝘁]𝘃𝘁.𝗲𝗱𝘂 with the subject line "Prospective Student - YOURNAME".
Please include
• your CV
• a brief description of your research interests
• your motivation for working with me
• a representative publication (optional).