Professor Bertsekas has done research in a variety of fields that involve principally optimization theory, and its applications in communication and control, such as: linear and nonlinear programming, network optimization, dynamic and neuro-dynamic programming, estimation and control of stochastic systems, neural networks, parallel and distributed computation, data communication networks.  He has written several books and numerous research papers.

 Research Interests include:  Optimal and Robust control synthesis with logic and discrete constraints, Model Reduction of Stochastic Hybrid Systems, Distributed control of Network Systems, Learning in Games and Application to Social Modeling, Learning compex hypotheses and application to system identification, and Neuro-biology with focus on cerebellar control and understanding cortical oscillations.

As a faculty member of the Control Systems Group in the Laboratory for Information and Decision Systems (LIDS) in the MIT Electrical Engineering and Computer Science (EECS) department, my research interests cover: Nonlinear dynamical system analysis, Design and validation of hybrid control algorithms, Optimization (LP,LMI,convex,non-convex etc.), Applications: flight control, control of production, control of animated objects, relay systems

Professor Mitter's research has spanned the broad areas of Systems, Communication and Control. Although his primary contributions have been on the theoretical foundations of the field, he has also contributed to significant engineering applications, notably in the control of interconnected power systems and pattern recognition.
His current research interests are theory of stochastic and adaptive control; mathematical physics and its relationship to system theory; image analysis and computer vision; and structure, function and organization of complex systems.

Research Interests: Nonlinear optimization and convex analysis,
Game theory, Network economics; pricing and resource allocation games,
Distributed optimization methods, Network optimization and control; wireless and wireline network

Dr. Parrilo is interested in game theory, computational mathematics, operator theory, and control systems

Devavrat Shah is currently a Jamieson career development assistant professor with the department of electrical engineering and computer science, MIT. He is a member of the Laboratory of Information and Decision Systems (LIDS). His research focus is on theory of large complex networks which includes network algorithms, stochastic networks, and network information theory and large scale statistical inference.

Research areas:
Communication networks (Resource Allocation, Games, Queueing), Neuro-Dynamic Programming (Large scale dynamic programming and reinforcement learning), Analysis and control of stochastic systems
Computational complexity in systems and control, Dijkstra-like methods for the eikonal equation ("Fast marching"), Flocking and consensus, Parallel and distributed computation, Data fusion (Communication complexity and decentralized detection), Optimization, control, and system identification, and Estimation and learning

Dr. Willsky is the MIT ISAMI Director.  He is a Professor in the Dept. of Electrical Engineering and Computer Science at MIT. Dr. Willsky's present research interests are in problems involving multidimensional and multiresolution estimation and imaging, and particularly in the development and application of advanced methods of estimation and statistical signal and image processing. Methods he has developed have been successfully applied in a wide variety of applications including failure detection in high-performance aircraft, advanced surveillance and tracking systems, electrocardiogram analysis, computerized tomography, and remote sensing.