Mathieu Laurière
Mean field control and mean field games, numerical methods, partial differential equations, stochastic analysis and machine learning
Mean field control and mean field games, numerical methods, partial differential equations, stochastic analysis and machine learning
My research mainly involves designing superconducting circuits and analyzing quantum materials.
Embedded systems security, control systems security, hardware security, machine learning in cybersecurity.
My research focuses on using self-supervised representations of large scale neuroimaging data to gain a better understanding of how the brain works, both in a cognitive context and a clinical context.
Wireless Communications, Machine Learning, Communication Networks, and Hardware Design for Communication Systems
My research focuses on hardware/software co-design, efficient machine learning, and AR/VR.
My research focuses on developing secure computer hardware acceleration techniques for varied networking and communication applications.
My research focuses on exploring the integration of model predictive control and reinforcement learning for aerial transportation systems.
Distributed methods for training deep learning models, parameter-efficient continual learning methods.
I work on protecting logic-locking implementations against threats like side-channel and fault attacks.
My research focuses on leveraging deep learning and machine learning across different domains, including enhancing speech analysis, decoding visual data, and analyzing neural signal patterns.
Design of adaptive stabilizers for haptics-enabled robotic teleoperation in the presence of time delays. Robot learning from human demonstration and deep reinforcement learning.
My research focuses on communication theory, with a specific interest in the physical layer of wireless communication systems operating in both radio and optical frequency bands
Artificial Intelligence in Healthcare, Foundation Models, Multimodal Machine Learning
ACADEMICS | DEPARTMENTS | CIVIL URBAN AND ENVIRONMENTAL | RESEARCH
ABOUT | TANDON LEADERSHIP TEAM
ABOUT | TANDON LEADERSHIP TEAM
A combination of multimodal human brain imaging, brain stimulation, and computational approaches to investigate the neural mechanisms of perceptual processing in the human brain.
My research is centered on the dynamics, planning, and control of multi-robot systems, with applications in aerial transportation and manipulation, as well as human-robot collaboration.
My research focuses on enabling safe and agile autonomy in unstructured, complex environments by developing systems that can adapt to unknown operating conditions and react instantaneously to dynamic…
socioeconomics of cybercrime
How neural activity and architectures lead to perception, cognition, and action. Visual attention, perceptual learning, and multi-sensory integration.
Mean Field Games, Stochastic Analysis, Optimal Transport, Economics and Finance
Stochastic optimal control and game theory as well as applications of these areas in quantitative finance.
Theory and practice of data structures for storage systems, graph algorithms, streaming algorithms.
privacy and security, platform auditing, transparency, social networks, targeted advertising
computational biology, multiomic integration, biomarker identification and risk predication, computational immunology, cardiology, cancer
Capital markets, corporate finance, accounting, financial statement analysis, business statistics, and managerial economics.
Information Theory, Communication Theory, Statistical Signal Processing, Graph Theory, Random Matrix Theory, Network Optimization, Network algorithms, Detection and Estimation, Compressed Sensing