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Cryptography, Multi-party computation, Privacy-preserving machine learning
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Representational learning for video/images/speech.
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Communication networks, Stochastic systems, Federated learning, Optimization, Game theory
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Theory of Deep learning, Algorithms, Randomness
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Middleware for Cyberphysical systems, Smart cities, Micro-nano electronics, Neuroelectronic hybrid systems
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Image processing pipelines, Dense linear algebra, Deep neural networks, and Deep learning
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Signal processing, Compression, Machine vision, Image/video processing, Pattern recognition and multimedia
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Algorithmic game theory and Approximation algorithms
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Stochastic control and optimization, Simulation, Communication networks, Reinforcement learning
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Geometric algorithms and Data Structures, Approximation algorithms, and Streaming algorithms
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Machine learning, Convex optimization
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Computer vision, Pattern recognition, Image processing
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Systems theory, Probabilistic graphical models, Stochastic processes, Geometric tessellation and optimization
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Numerical optimization, Approximation methods, Image processing, Computer vision
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Pattern recognition, Data mining, Soft computing
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Information theory, Statistical learning, Computational algebra
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Auditory neuroscience, Machine learning and Pattern recognition, particularly Speech processing, Optical character recognition, Machine listening, Medical image processing, and Speech synthesis
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Signal processing, Machine learning, Deep learning and Neuroscience
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Computer security, including security and privacy issues in modern AI/ML systems.
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Human speech communication, Signal and information processing, Machine learning, Text analytics
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Machine learning, Sequential decision making, Online and reinforcement learning
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Computer vision, Geometry in vision, 3D reconstruction
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Sparse signal processing, Neuroscience, Road traffic simulator, Indoor positioning, Radar signal processing, Autonomous navigation
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Design and analysis of algorithms, Pattern matching algorithms, Graph connectivity algorithms
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Image/video signal processing, Computer vision using tools from machine learning, Statistics and visual neuroscience
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Database systems, Data mining, Biological databases, Multi-lingual databases
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AI for software development, Interpretable and secure AI
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Mathematical foundations of computing, Algorithms for large-Scale data, Spectral algorithms, Clustering
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Optimization, Geometry, Logic, Biology
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Digital signal processing, Information theory, Estimation theory
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Pattern clustering
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Game theory, Auctions and mechanism design, Blockchain technology, Learning with strategic agents
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Scientific visualization, Computational topology, Computational geometry, and Geometry processing
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Transportation planning, Travel demand modeling and forecasting
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Demand management of scarce resources, Revenue management, Discrete optimization
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Network games, Real-time control of traffic, Shared ride systems, Transportation logistics, Evacuation
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Pattern recognition, Computational neuroscience, Temporal data mining
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Bio-inspired speech/audio processing, Image processing, Biomedical imaging, Sampling theories, Optical imaging, Sparse signal processing, Image processing for Healthcare applications
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Convex optimization, Data mining
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Cloud and edge computing, Distributed graph processing platforms and Elastic stream processing
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Adjunct Professor EECS
Mobile and networked systems, Intersection of sensor systems and mobile computing, and on Efficient mobile communication.
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Applied mathematics, Physical modeling, Coding, Signal processing and VLSI systems architecture for Novel magnetic/optical recording channels, Quantum information processing, Neural nets and math modeling of complex systems
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Communication, computation, and control over networks, Decentralised algorithms over graphs and networks, Network analytics, Information geometry.
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Machine learning, Natural language processing, Data integration, Cognitive science
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Brain-inspired computing, neuromorphic engineering, Analog/digital IC design, Computational neuroscience, Machine learning
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Human sensing and perception, Computer vision and Machine learning
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Stochastic approximation, Random topology and their applications to reinforcement learning and Topological data analysis
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Hybrid robotic systems, Safety critical control and applications of learning theory to legged locomotion.
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Information theory, Statistics, Cryptography, Machine learning, Distributed intelligence systems, Socio-technical systems
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Uncertainty quantification and analysis – theory, numerics, Software, Applications; Bayesian inference and data assimilation; Dynamic data-driven stochastic ocean modeling; Cyclone track prediction; Optimal routing of marine and aerial vehicles.
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Cognition, Computation and behaviour, Applying artificial intelligence (AI) algorithms, including Deep learning, for understanding brain mechanisms of attention in healthy individuals, and its decline in neurodegenerative disorders.
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Approximation algorithms, Online algorithms, Online learning, Combinatorial optimization, Computational geometry, Graph algorithms, Parameterized algorithms, Algorithms for big data and Machine learning.
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Intelligent flight control system, Autonomous system, Applied game theory, Computer vision and robotics, Machine learning and AI.
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Mathematical signal processing, Statistical inference and learning, applied to communication systems, Network sciences, and Computational imaging.
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Bayesian inference, Reliability and survival analysis, Statistical computing, Statistical quality control, Econometrics.
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Network theory, Applied probability, Optimization methods, and in their applications to distributed systems, Statistical signal processing, Queueing theory, Information theory, Estimation & detection theory, Combinatorics, and Probability theory.
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Understanding and characterising latency versus redundancy trade-offs in distributed systems. Understanding how to communicate with robots in natural language so certain tasks can be accomplished.
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Pricing, Investment decision, Exposure management, Risk mitigation.