
Arnab Sanyal
PhD student since 2023
Energy-efficient, robust ML inference for generative AI on edge devices (quantization, computer arithmetic, accelerators)
- Industry funded PhD
- Amazon Lab126
- Qualcomm
- AMD
- Cruise
The lab
Students and researchers working on learning, reasoning, and verification for fleets of robots and AI agents.
Principal investigator
Assistant Professor, Electrical and Computer Engineering, UT Austin
Research interests: Swarm robotics, edge computing, wireless networking, and energy-efficient deep learning.
Current

PhD student since 2023
Energy-efficient, robust ML inference for generative AI on edge devices (quantization, computer arithmetic, accelerators)

PhD student since 2023
Multi-agent systems, embodied AI and reinforcement learning

PhD student since 2023
Neuro-symbolic AI, deep reinforcement learning, and AI and human interaction

PhD student since 2023
Efficient, adaptive representation learning for resource-constrained search, retrieval and visual localization

PhD student since 2022
Distributed optimization, network intelligence, verifiable/private ML, blockchain, security

PhD student since 2021
Computer vision, robotics and deep reinforcement learning (VLA models, sparse-reward learning)

PhD student since 2022
Neuro-symbolic video understanding, computer vision, reinforcement learning

PhD student since 2021
Generative models for time series, safe RL and formal verification


MS student since 2026
Machine learning, long-video understanding, agentic retrieval pipelines

MS student since 2025
Multimodal time-series forecasting, combining LLMs with time-series foundation models

MS student since 2026
Time-series foundation models, transformer models, video understanding


Alumni

Now at Synthefy

Now at UIUC

Now at NVIDIA

Now at University of Bonn

Now at Tesla

Now at Synthefy

Now at USC

Now at Georgia Tech

Now at Columbia University

Now at Tesla

Now at UT Austin

Now at Flowdesk

Now at Saronic Technologies

Now at Etched
Lab life
Conferences, field days, and group outings with the Swarm Lab.


