PhD Candidate · Cornell University

Shanting Wang

Information & Decision Sciences Lab

Hi there! I'm a Ph.D. student in Systems Engineering at Cornell University, where I am fortunate to be advised by Andreas A. Malikopoulos in the Information and Decision Science (IDS) Lab. My work spans control theory, leanring, game theory, and AI integration for autonomous systems, with hands-on experimental validation in the IDS3C Scaled Smart City. My research focuses on making autonomous systems safe and adaptive under uncertainty, bridging learning-based methods with formal control guarantees.

Research Interests: Adaptive Control under Uncertainty, Multi-Agent Coordination, Vision-Language Models for Autonomy, and Zero-Sum Game Theory.

Publications Get in Touch CV ↓
Shanting
01

Research

Regret Minimization in Zero-Sum Games

Developing certified certainty-equivalent algorithms with shrinkage-based surrogate model selection for zero-sum linear quadratic games with unknown dynamics, achieving \( \bar{O}(\sqrt{T}) \) regret bounds.

Game Theory · Online Learning

Vision-Language Enhanced Autonomous Navigation

VisioPath — integrating vision-language models with model predictive control for safe autonomous navigation in mixed-traffic environments.

VLM · MPC · Autonomy

Multi-Vehicle Coordination

Coordinating mixed teams of ground and aerial vehicles for complex search-and-rescue missions using multi-agent decision-making frameworks.

Multi-Agent Systems
02

Selected Publications

03

Service

IDS-DDLC Seminar Series

Seminar Coordinator

Organizing the Data-Driven Learning and Control seminar series — managing speaker invitations, logistics, recordings, and outreach.

04

Contact

I'm always open to collaborations and conversations about autonomous systems,
game theory, and multi-agent learning.

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