Dr. Halder’s research designs and analyzes tools in stochastic control and probabilistic machine learning for safety-critical engineering applications such as Mars EDL. In the past, his joint work with graduate and undergraduate students have won several research awards and fellowships. He is also the creator and instructor of an innovative feedback control summer course for 8-11 graders in STEM, teaching control theory without using linear algebra or calculus. Students from this course have won awards in international robotics competitions