I am a Ph.D. student(Qualcomm PhD Fellow) working under the supervision of Dr. Sayan Ranu in the Department of Computer Science and Engineering at IIT Delhi.
1. Learning Combinatorial algorithms on graphs
2. Learning to Solve Mixed Integer Programs
3. Graph Generative Modeling
4. Few shot learning/ Meta-Learning
Prior to joining IIT Delhi, I worked as a Research Engineer in the Machine learning and statistics group at Conduent Labs( Formerly Xerox Research Center India). I received my Master’s degree in Computer Science and Engineering from the Indian Institute of Technology Guwahati. Please visit my Google Scholar profile for more details.
April 2023:: 2 papers accepted in ICML 2023
April 2023: Selected for attending HLF: Was one of the 200 young researchers selected across the globe to attend the Heidelberg Laureate Forum in Germany in 2023.
March 2023: Outstanding Teaching Assistanship Award for Computer Networks course(UG + PG) at IIT Delhi 2022.
Jan 2023: Oral at AAAI : Our AAAI paper : Lifelong Learning to solve Mixed Integer Programs is selected for oral presentation.
Dec 2022: University of Tokyo: Worked as a visiting researcher in the area of Graph condensation for Graph Neural Networks under the supervision of Prof. Toyotaro Suzumura at the University of Tokyo, Japan
Nov 2022: Paper accepted AAAI 2023: Lifelong Learning to solve Mixed Integer Programs
July 2022: Serving as PC member of AAAI 2023
June 2022: Received Qualcomm Innovation Fellowship(QIF) for 2022-2023
June 2022: Paper accepted in ECML-PKDD 2022.
May 2022: US Patent Granted Trained Pattern Analyzer for Rollout Decisions” USPTO.
Jan 2022: Serving as PC member in Applied Data Science Track in KDD 2022
Nov 2021: Paper accepted in AAAI 2022
Sep 2021: Paper accepted in NeurIPS 2021
Sep 2020: Paper accepted in NeurIPS 2020
Sep 2020: Joined as a Research Intern in the Machine learning and optimization Team at NAVER Labs, Europe.