About Me

I am a 3rd year PhD student in the School of Computational Science and Engineering at the Georgia Institute of Technology. I work with Professor Bistra Dilkina, and am interested in developing methods for solving planning problems in the emerging field of Computational Sustainability.

Current Projects


Optimizing Reserve Site Selection for Conservation

Designing successful and cost-effective wildlife reserves presents many challenging network design problems. The goal of this work is to design robust and scalable algorithms for selecting reserve sites that together maximize ecologically important objectives such as the protected target species population size and connectivity within the reserve. I am specifically interested in algorithms for conservation decision-making under uncertainty and for sequential decision-making.


Invasive Species Spread Modeling and Management

Invasive species both threaten biodiversity and cause billions of dollars in economic losses, necessitating effective strategies for controlling their spread. I work on developing new models for characterizing the spread of these species and the effect of targeted treatments in order to determine optimal intervention plans in budget-constrained settings.


Climate Resilient Infrastructure Planning

Climate change poses a serious threat to critical infrastructure systems on which we depend. As participants in the 2017 UN Data for Climate Action Challenge, we developed a computational framework for determining how to allocate funds to improve the flood resilience of road infrastructure in Senegal.

Past Projects

Finding Subtypes within the Autism Spectrum

Prof. James Rehg

A project using tensor factorization to determine whether there are distinct subtypes within the autism spectrum that are diagnostically significant.

Visualizing Bikeshare System Usage

Data & Visual Analytics, Spring 2014

A web-based interactive visual analytics tool for comparing bikeshare schemes across 10 US cities. The interface included back-end algorithms (ST-DBSCAN, Louvain modularity optimization and max clique detection) for detecting flow patterns and highly interconnected sets of stations.


Georgia Institute of Technology Atlanta, GA
Ph.D. in Computational Science and Engineering
Georgia Institute of Technology Atlanta, GA
MS in Computational Science and Engineering
Johns Hopkins University Baltimore, MD
BS with Honors in Biomedical Engineering with a minor in Mathematics



Aug 2018-Dec 2018
One Concern Palo Alto, CA
Data Science Intern


Georgia Institute of Technology Atlanta, GA
Graduate Research Assistant in the Dilkina Group
Summer 2017
University of Southern California Los Angeles, CA
Summer Fellow at the Center for Artificial Intelligence in Society (CAIS), supervised by Prof. Milind Tambe
Summer 2016
Cornell University Ithaca, NY
Visiting Researcher in the Department of Computer Science, supervised by Prof. Carla Gomes
Georgia Institute of Technology Atlanta, GA
Graduate Research Assistant in the Computational Perception Lab, advised by Prof. James Rehg
MS Thesis: Unsupervised Learning of Disease Subtypes from Continuous Time Hidden markov Models of Disease Progression
Johns Hopkins University Baltimore, MD
Visiting Scholar in the Laboratory for Computational Sensing and Robotics, advised by Prof. Russell Taylor and mentored by Marcin Balicki
Spring 2012
Johns Hopkins University Baltimore, MD
Undergraduate Research Assistant at the Systems Biology Lab, supervised by Prof. Aleksander Popel


Summer 2018
Georgia Institute of Technology Atlanta, GA
Graduate Teaching Assistant, Machine Learning
Fall 2017, Fall 2016
Georgia Institute of Technology Atlanta, GA
Graduate Teaching Assistant, Computational Science and Engineering Algorithms
Fall 2011
Johns Hopkins University Baltimore, MD
Lab Manager, Biological Modeling and Design


Fall 2018
CompSust-2018 Doctoral Consortium Ithaca, NY
Spring 2018
Georgia Tech Serve-Learn-Sustain Climate Change Fellows Program Atlanta, GA
Spring 2018-Present
Computational Sustainability Graduate Seminar Series

Honors and Awards

D4CA Challenge Finalist, United Nations Data for Climate Action Challenge
2017 Summer Fellow, University of Southern California Center for Artificial Intelligence in Society
Best Poster, Georgia Tech Career, Research, Innovation Development Conference (CRIDC)
Dean's List, Johns Hopkins University


Working Papers

  • Gupta A., Farajtabar M., Dilkina B. and Zha H.. Hawkes Processes for Invasive Species Modeling and Management.
  • Gupta A., Morin D., Dilkina B., Fuller A., Royle A., Sutherland S. and Gomes C.. Optimal Wildlife Reserve Design using Spatial Capture-Recapture Based Conservation Objectives.
  • Gupta A. and Dilkina B.. Conservation Prioritization in the Face of Urbanization and Climate Change: Land Use Change, Habitat Quality and Ecological Restoration.

Published Papers

  • Gupta, A., Farajtabar, M., Dilkina, B. and Zha, H., 2018. Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. In IJCAI (pp. 3385-3392).
  • Gupta, A., Robinson, C. and Dilkina, B., 2018, June. Infrastructure Resilience for Climate Adaptation. In Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (p. 28). ACM.
  • Gupta A., Liu Y., Sun J. and Rehg J. M.. Visualizing State-Based Hypertension Progression Models. Presented at the EHRVis Workshop at IEEE Vis 2014, Paris, France, November 2014.
  • Bargar A., Gupta A., Gupta S., Ma D. 2014, August. Interactive visual analytics for multi-city bikeshare data analysis. In The 3rd International Workshop on Urban Computing (UrbComp 2014), New York, USA (Vol. 45).
  • Gupta, A., Gonenc, B., Balicki, M., Olds, K., Handa, J., Gehlbach, P., Taylor, R.H. and Iordachita, I., 2014, August. Human eye phantom for developing computer and robot-assisted epiretinal membrane peeling. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE (pp. 6864-6867). IEEE.


agupta375 [at] gatech [dot] edu