Shrey Gupta

Shrey Gupta

Postdoctoral scholar at Schiller Institute | Boston College

About

I am a postdoctoral scholar in the Computer Science and Earth & Environmental Science departments at Boston College working with George Mohler and Yi Ming.

I work in the field of machine learning modeling for spatiotemporal domains where I specialize in designing region-agnostic, data-based models with applications catered to earth and environmental science domains. I particularly focus on designing transfer learning and domain adaptation models for point prediction. My research interests can be narrowed down to applied transfer learning & domain adaptation, and geospatial machine learning.

I completed my PhD in computer science at Emory University where I was advised by Avani Wildani and Andreas Züfle. During this time, I also closely collaborated with and was mentored by Yang Liu.

I have also worked with Emily Wall at Emory, in the domain of human decision making as well as Vinod Scaria @CSIR-IGIB for my master's thesis.

If you're interested in my research, feel free to contact me at shrey.gupta@bc.edu. I'm happy to connect and chat.

News

  • [08/27/2025] Honored to receive the travel grant from IEEE DSAA, 2025
  • [08/05/2025] Our work on application of variational Gaussian processes for low-sensor regions got accepted at DSAA, 2025
  • [01/01/2025] Started my postdoc at the Schiller Institute, Boston College
  • [09/10/2024] Presented poster for my dissertation at the PhD Forum @ECML-PKDD'24!
  • [05/27/2024] Our work on estimating PM2.5 using spatial transfer learning got accepted at ECML-PKDD'24!
  • [11/06/2023] Successfully defended my PhD proposal!
  • [06/15/2023] Our work on regression transfer learning got accepted at IJDSA journal!
  • [02/27/2023] Our work on analyzing belief movement got accepted at EuroVis'23!
  • [11/01/2022] Attended ACM SIGSPATIAL 2022 conference in Seattle, WA, USA. Honored to receive the Travel Grant Award!
  • [10/28/2022] Presented my work: "Sampled-Boosting Regression Transfer for Atmospheric Pollution Prediction" as a poster on Georgia Statistics Day 2022
  • [08/27/2025] Honored to receive the travel grant from IEEE DSAA, 2025
  • [08/05/2025] Our work on application of variational Gaussian processes for low-sensor regions got accepted at DSAA, 2025
  • [01/01/2025] Started my postdoc at the Schiller Institute, Boston College
  • [09/10/2024] Presented poster for my dissertation at the PhD Forum @ECML-PKDD'24!
  • [05/27/2024] Our work on estimating PM2.5 using spatial transfer learning got accepted at ECML-PKDD'24!
  • [11/06/2023] Successfully defended my PhD proposal!
  • [06/15/2023] Our work on regression transfer learning got accepted at IJDSA journal!
  • [02/27/2023] Our work on analyzing belief movement got accepted at EuroVis'23!
  • [11/01/2022] Attended ACM SIGSPATIAL 2022 conference in Seattle, WA, USA. Honored to receive the Travel Grant Award!
  • [10/28/2022] Presented my work: "Sampled-Boosting Regression Transfer for Atmospheric Pollution Prediction" as a poster on Georgia Statistics Day 2022

Selected Publications

Shrey Gupta*, Yongbee Park*, Jianzhao Bi, Suyash Gupta, Andreas Züfle, Avani Wildani, Yang Liu
ECML-PKDD 2024
Shrey Gupta, Jianzhao Bi, Yang Liu, Avani Wildani
IJDSA 2023
Aastha Vatsyayan*, Parul Sharma*, Shrey Gupta, Sumiti Sandhu, Seetha Lakshmi Venu, Vandana Sharma, Bouabid Badaoui, Kaidi Azedine, Serti Youssef, Anna Rajab, Alaaeldin Fayez, Seema Madinur, Anop Ranawat, Kavita Pandhare, Srinivasan Ramachandran, Sridhar Sivasubbu, Vinod Scaria
PLOS ONE 2021