About Me

I am a PhD candidate in the Department of Computer Science at Emory University where I am advised by Dr. Avani Wildani (now at Cloudflare).

My research focuses on designing domain adaptation & transfer learning models for high-dimensional spatio-temporal datasets. The current transfer learning methodologies do not account for non-i.i.d characteristics in the data. Since, spatio-temporal data often consists of such spurious characterisitcs, the objective of my research is to understand latent patterns in the data, improve the robustness of transfer learning techniques and design effective (data-efficient) modeling techniques for the (complex) data. A problem that I am keenly interested in is designing transfer learning models for the prediction of air pollution in countries/communities that require a cost effective solution.

For my research, I am fortunate to work with Dr. Yang Liu as well as collaborate with Dr Andreas Zufle and Dr. Jianzhao Bi. I have also worked with Dr. Emily Wall in the domain of human decision making. Previously, I obtained my master's degree at IIIT-Delhi where I worked with Dr. Vinod Scaria @CSIR-IGIB for my Thesis.

Publications

• Transfer across Space via Characteristic Feature: A Case Study for PM2.5 Prediction   [Under Review]
  Shrey Gupta*, Yongbee Park*, Jianzhao Bi, Andreas Zufle, Yang Liu, & Avani Wildani.


• Belief Decay or Persistence? A Mixed-method Study on Belief Movement Over Time.   [EuroVis, 2023]  
  Shrey Gupta, Alireza Karduni, & Emily Wall.


• Boosting for Regression Transfer via Importance Sampling.   [IJDSA, 2023]  
  Shrey Gupta, Jianzhao Bi, Yang Liu, & Avani Wildani.


• DALIA- A Comprehensive Resource of Disease Alleles in Arab population.   [Plos One, 2021]  
  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.