Suvan Kumar Resume

Education

University of Southern California

Aug. 2025 - May 2027

Arizona State University

Aug. 2021 - Dec. 2024

Teaching:

  • TA for ASU 101 (The ASU Experience), Fall 2024
  • TA for CSE 230 (Computer Organization & Assembly Language), Fall 2023

Publications

Refereed Journal Articles:

  • J.I. Tapia, S. Kumar, and P.T. Grogan, Scalable Model-Centric Engineering Analysis Workflows Using Distributed Task Queues with TAT-C, Journal of Aerospace Information Systems. https://doi.org/10.2514/1.I011573

Refereed Conference Papers:

  • S. Kumar, Evaluating a Modified Richardson Model for Analysis of the Golden Dome, Conference on Systems Engineering Research 2026.

In Review:

  • S. Kumar, J.I. Tapia, and P.T. Grogan, Dynamic Targeting of Convective Precipitation with GEOS-5 Nature Run and Reinforcement Learning, IEEE IGARSS 2026.

Professional Experience

Graduate Researcher at Department of Astronautical Engineering, University of Southern California

Researcher

August 2025 – Present Los Angeles, CA

  • Researching and publishing on applications of reinforcement learning to strategic space systems engineering
  • Authored a conference paper on the Richardson Arms Race model and the Golden Dome for the Conference on Systems Engineering Research (CSER) 2026

Summer Intern at Information Technology Department, Santa Clara Valley Water District

Internship

May 2025 – August 2025 San Jose, CA

  • Researched and wrote a strategic plan for implementing predictive analytics, cybersecurity, and AI technologies
  • Led training and workforce development initiatives focused on practical AI adoption

Research Assistant at Farmer School of Business, Miami University

Advised by Dr. Peter Nencka

January 2025 – May 2025 Remote

  • Applied natural language processing techniques to perform vectorized string interpolation on large scale datasets
  • Implemented zero-inflated Poisson regressions to analyze institutional responses to the Great Influenza
  • Contributed to the novel dataset curation and analysis of hospital records from 1909 to 1975

Research Assistant at Collective Design Lab

Advised by Dr. Paul Grogan, Funded by NASA JPL

November 2023 – December 2024 Tempe, AZ

  • Implemented new satellite constellation types and instrument observation behavior in the Tradespace Analysis Tool for Constellations (TAT-C)
  • Optimized satellite observation capabilities and duty cycle timing for convective storms with RL & ML algorithms
  • Developed parallel computing functionalities, using Dask, within a comprehensive systems analysis codebase, optimizing performance and scalability

Research Assistant at Arizona State University

Advised by Dr. Kookjin Lee, Funded by Sandia National Labs

January 2024 - May 2024 Tempe, AZ

  • Tested the capabilities and guided the manufacturing decisions of a newly invented platinum-gold alloy using large-scale nanoindentation datasets
  • Utilized diffusion and regression models to test the capabilities of a newly developed platinum-gold alloy
  • Implemented CARD (Classification and Regression Diffusion Models) and RNNs (Recurrent Neural Networks) for conditional distribution predictions

Research Assistant at Snyder Lab of Genetics

Advised by Dr. Michael Snyder & Alexander Johansen

April 2023 – September 2023 Palo Alto, CA

  • Streamlined and enabled secure data extraction from HealthKit to Firebase through an iOS application
  • Created a HealthKit to JSON Swift package to allow for personal analysis of data through iPython notebooks
  • Developed a Python package utilized by clinical researchers to extract 1000+ data points from dozens of various wearable devices using REST APIs