Sushmit Dhar

Sushmit Dhar serves as an Associate Professor in the Department of Automation and Process Technology at UiT The Arctic University of Norway, focusing on control engineering and automation solutions for Arctic maritime challenges. His work bridges theoretical control methods with practical applications in extreme environments.

His research spans:

• Classical and modern control methods (PID, LQR, MPC)
• State estimation and Kalman filtering
• Physics-Informed Neural Networks and Reinforcement Learning for decision support
• IoT-based automation for maritime operations
• Marine icing phenomena and sea spray measurement

Recent publications demonstrate cutting-edge work in marine icing prediction using LiDAR and capacitive sensors, Arctic road safety systems, and optimization of maritime operations. His research integrates advanced sensing technologies with data-driven modeling to address safety challenges in cold climates, particularly through sea spray measurement innovations and route planning algorithms for fishing vessels and search-and-rescue operations.

Dr. Dhar actively contributes to collaborative initiatives:

• Member of the Sustainable Technology and Safety (STS) research group
• Member of the IR, Spectroscopy, and Numerical Modelling Research Group
• Key participant in the SPRICE project (Multidisciplinary approach for spray icing modelling and decision support)

His teaching portfolio includes foundational courses in Linear Systems (AUT-2604) and Control Engineering (AUT-2801) for Automation Engineering undergraduates, preparing students for technical challenges in Arctic engineering contexts.