Proud to mentor a number of PhD students, each possessing an inquisitive mind seeking to find solutions to challenging research questions. A number of my recent research papers features these bright young minds as my co-authors.
Current PhD student
Chandan Biswas is a PhD student of mine registered at the Indian Statistical Institute. I co-supervise his PhD along with Ujjwal Bhattacharya. Chandan’s work investigates how to develop both unsupervised and supervised learning models under privacy preservation constraints (specifically useful in a distributed computing environment in an untrusted network).
Procheta Sen is a PhD student registered at the School of Computing, Dublin City University, Dublin, Ireland. Her PhD supervisor is Gareth J.F. Jones, who in the past was my PhD supervisor as well. In her PhD studies, she is investigating effective ways to model and evaluate proactive information retrieval (i.e. zero-query information retrieval). She is also interested in embedding algorithms and multi-objective neural learning.
Anirban Chakraborty is a PhD student at the School of Computer Science, Trinity College Dublin. His PhD topic includes investigating information retrieval (IR) based approaches for effective points-of-interest (POI) recommendation.
Suchana Dutta is a PhD student at University College, Dublin. With her I’m pursuing novel search interfaces and algorithms towards addressing causality driven search, i.e. where a search user wants to find out documents answering the Why question, e.g. why was Osama bin Laden assassinated? etc.
Swarup Chattopadhay is a PhD student at the Indian Statistical Institute. With Swarup, I’m investigating faster and more effective solutions of standard graph problems, such as clique, coloring, community funding etc. using embedded representations of graphs.
Past PhD student
Dwaipayan Roy graduated out of the Indian Statistical Institute with his PhD degree in 2019. He was the first PhD student of mine (co-supervised by Mandar Mitra). His PhD investigated the use of embedded word representations for the purpose of improving retrieval effectiveness.