Luke Snow

I am a 4th-year PhD candidate in the Electrical & Computer Engineering Department at Cornell University. I'm advised by Prof. Vikram Krishnamurthy, and supported by an NSF Graduate Research Fellowship. In 2021 I graduated summa cum laude from Clemson University with a B.S. in electrical engineering and a minor in mathematics, and received the W.M. Riggs Award for the most outstanding senior in electrical engineering.

I have professional experience in radar and intelligent systems analysis through internships with the U.S. Army Research Laboratory (2022), MIT Lincoln Laboratory (2021), and Leidos Dynetics (2019).

I am a member of the Cornell Statistical Signal Processing Lab, and am affiliated with the Foundations of Informations, Networks and Decision Systems (FIND) research collective.

Here's my Google Scholar, Linkedin, and Twitter

Email: las474[at]cornell[dot]edu

Research

Broadly, my interests are in statistical signal processing, inverse reinforcement learning and game theory. My work has taken application in the following fields:

Adaptive Inverse Learning : We develop and analyze passive Langevin dynamics algorithms for real-time inverse reinforcement learning.

Multi-Agent Intelligent Systems: We aim to discover and control the underlying strategic mechanisms governing observed multi-agent group behavior

Human-Sensor Interface : We address the interface between human decision making and signal processing, sensing and control strategies

See my research page for more details.

Highlighted Publications

Please refer to publications for the full list.

Luke Snow, Vikram Krishnamurthy
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics
62nd IEEE conference on Decision and Control, 2023 [pdf]

Luke Snow, Vikram Krishnamurthy
Adaptive Mechanism Design using Multi-Agent Revealed Preferences
63rd IEEE Conference on Decision and Control, 2024 [pdf]

Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory
IEEE Transactions on Signal Processing, 2024 [pdf]

Luke Snow, Vikram Krishnamurthy, Brian M. Sadler
Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-Objective Optimization
26th International Conference on Information Fusion, 2023 [pdf]