Current Ph.D. Advisees
Dibyakanti Kumar - working on theory of solving PDEs with deep-learning - co-advised with Prof. Alex Frangi
He is the first student to begin their doctoral studies in our group.
Hongbo Zhu - working on XAI - co-advised with Prof. Angelo Cangelosi
Fuqi Xu - co-advised with Prof. Robert Stevens and Prof. Goran Nenadic
Students Who Submitted Research Papers With Me While They Were Doing Their Undergrad or Masters
Pulkit Gopalani - PhD student in CS at University of Michigan
Collaborated with me on writing 3 drafts - one on Rademacher complexity for DeepONets and two on provable convergence of SGD on depth-2 nets without making assumptions on data or width. He also produced a paper on experimental study of double-descent on DeepONets.
Amartya Roy - Applied ML Engineer at Bosch, India
Collaborated with me on writing this (arXiv:2308.06338) first-of-its-kind proof of universal lowerbound on DeepONets.