Machine Learning and Optimization

Adjunct Professor

Accelerators for ML Algorithms, Network-on-Chip Modelling and Analysis

Hybrid Robotic Systems, Safety-Critical Control and Applications of Learning Theory to Legged Locomotion

Cryptography and Security, Theoretical Computer Science

Stochastic Approximation, Random Topology and their applications to Reinforcement Learning and Topological Data Analysis

Approximation Algorithms, Algorithmic Game Theory

Computer architecture, Hardware-Software co-design, Operating Systems

Performance analysis, stochastic control and optimization, simulation, communication networks

Machine learning, convex optimization, bioinformatics

Design and analysis of algorithms, graph theory

Cryptology and Information Security

Automated verification

Cognitive neuroscience, Computational neuroimaging, Neural modeling

Statistical Machine Learning, Reinforcement Learning

Computer Systems Security

Parallel processing, computer architecture, instruction scheduling

Combinatorial geometry, spatial data structures, computational geometry

Database systems

Cryptography and Security

Approximation Algorithms, Online Algorithms, Graph Algorithms

Approximation Algorithms, Spectral Algorithms, Hardness of Approximation

Game theory and mechanism design, electronic commerce

Pattern recognition, data mining

Scientific visualization, computational topology, computational geometry, graphics

Cryptography and Secure Distributed Computing

Programming languages, program analysis, programming tools

Computational Complexity, Algebra & Number theory

Compilation for multicores and accelerators, Automatic parallelization, Programming language and runtime system design

Geometric algorithms and data structures, Approximation algorithms

Machine learning, data mining

Machine Learning, Natural Language Processing, Cognitive Neuroscience

Algorithms, Complexity Theory, Computational Biology

Service Science, Emerging Markets, Logistics, Supply Chain Design