vade shah
I’m a PhD student studying game theory and optimization at UC Santa Barbara, where I am advised by Jason Marden with the support of the NSF GRFP. Previously, I completed my BS in EECS at UC Berkeley.
My research interests are quite broad, but recently, I’ve been working on optimal control problems for energy systems. If you’d like to learn more, see my recent publications.
Send me an email if you’d like to get in touch!
news
| March 2026 | Our paper titled “Playing with Peaks: A Game-Theoretic Comparison of Electricity Pricing Mechanisms” was accepted to IEEE ECC 2026. See you in Reykjavik! |
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| January 2026 | Our paper titled “Cooling Under Convexity: An Inventory Control Perspective on Industrial Refrigeration” was accepted to IEEE ACC 2026. See you in New Orleans! |
| July 2025 | Two papers (“Trial-and-Error Learning in Decentralized Matching Markets” and “The Price of Simplicity: Analyzing Decoupled Policies for Multi-Location Inventory Control”) were accepted to IEEE CDC 2025. See you in Rio! |
| May 2025 | Our paper titled “Trial-and-Error Learning in Decentralized Matching Markets” was accepted to the 2025 Game Theory Festival. See you in Stony Brook! |
| January 2025 | Our paper titled “Inefficient Alliance Formation in Coalitional Blotto Games” was accepted to IEEE ACC 2025 and for publication in L-CSS. See you in Denver! |