LOTUS Lab Members
Welcome to the Learning and Optimization Techniques for Uncertain Systems (LOTUS) Lab!
I am delighted to work with the following talented students:
Ph.D. Students:
-
Dhruva Sundararajan
(2024 - present) -
Jean-Christophe Raymond-Bertrand
(2025 - present)
M.S. Students:
-
Atharva Shailesh Anchalwar
(2025 - present) -
Padmapriya Rengasamy
(2025 - present)
B.S. Students:
-
Gavinmarc Esperanza
(2025 - present) -
Jiaqi Wu
(2026 - present) -
Jude Sanborn
(2025 - present) -
Pedro Barcha
(2026 - present) -
Yabsira Habtamu
(2026 - present)
Lab Alumni:
M.S. Students:
-
Hiral Rajendrakumar Makwana, M.S. in ISE, 2025.
Co-advised with Dr. Eduardo Molina in Sustainable Biomaterials.
Thesis: Prediction modelling of pallet overhang on box compression strength. [URL]
First Position: Ph.D. Student, Packaging Science, Department of Sustainable Biomaterials, Virginia Tech.
B.S. Students:
- Antonio Ortega Vicente, Fall 2025.
- Soham Mehra, Spring 2024.
I have also had the privilege of mentoring the following outstanding students prior to joining VT:
-
Erin George (2023), "Graph Convolutional Neural Networks to Accelerate Solutions to Nonconvex Optimization," Applied ML Summer Fellow, LANL.
Co-Mentors: Harsha Nagarajan and Deepjyoti Deka -
Mithun Goutham (2022), "Stochastic Optimization Models for Enhancing the Resilience of the Power Grid," Summer Student at the Center for Nonlinear Studies, LANL.
Co-Mentors: Harsha Nagarajan and Deepjyoti Deka -
Avinash S. R. Subramanian (2021), "Optimization under Uncertainty of Hybrid Feedstock Polygeneration Systems," Ph.D. Student, Dept. of Energy & Process Engineering, NTNU.
Advisors: Truls Gundersen and Thomas A. Adams II
Finally, I have been lucky to collaborate with the following exceptional colleagues over the years:
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