At IIITB, we follow the notion of research labs and centers which is an abstraction of a particular theme/area. A research lab encompasses people, projects, physical facilities, and activities. A research center or a center of excellence is an abstraction either in terms of the broader set of research themes being followed or in terms of hierarchy of research activities. Please click on the respective research domain above to get more details about its focus of research, faculty members involved, and the active labs and centers.

Research Profile of IIITB
Complete listing of areas, for which there is ongoing active research at IIITB, as categorized in the seven research domains, is given here.

  1. Computer Science
  2. Data Sciences
  3. VLSI Systems
  4. Information Technology & Society
  5. Mathematics & Basic Sciences
  6. Networking Communications & Signal Processing
  7. Software Engineering


If Computer Science is about the use of computational techniques and thinking for solving problems, it stands to reason that computer science in turn can and must be applied to address the many critical problems of the 21st century, of which we may mention the need for smart machines and complex systems that can work with humans seamlessly and improve society as a whole, and sustainable development and usage of systems to make effective use of scarce and expensive resources such as energy. The tools and paradigms used to address such problems can themselves be new ones, other than merely the ones traditionally found in the repertoire of computer scientists. To this end, our work in the computer science research domain covers diverse topics dealing with theory as well as application areas, such as smart grids, supply chains and their optimization, algorithms, machine learning, cloud computing, dynamic modeling and control of servers, and renewable energy. With the tremendous rise in distributed computing applications, the issue of security and privacy in distributed applications has got tremendous attention from the research community in the past decade. A major theme of the cryptographic research at IIITB is secure distributed computing, with emphasis on secure multi-party computation (MPC) and verifiable computation, both at the theoretical as well as applied level. While we strive to be rigorous and thorough in all our research, whether theoretical or applied, we are also aware of the multidisciplinary context and significance of our work, and strive to address issues that are relevant to society in general and industry in particular. The focus of work in Computational Topology at IIITB is towards using topological methods for improving visual representation and information extraction from scientific datasets.

Faculty Members

  • Prof. Amit Chattopadhyay
  • Prof. Ashish Choudhury
  • Prof. Meenakshi D’Souza
  • Prof. V. N.Muralidhara
  • Prof. Pradeesha Ashok
  • Prof. G. N. S. Prasanna
  • Prof. Sachit Rao
  • Prof. Shrisha Rao
  • Prof. G. Srinivasaraghavan


The Data Sciences research domain focuses on all aspects of data management, processing, modeling, and information retrieval. The current areas of interest include: Database Design, Information Retrieval, Network Analysis, Mining Latent Semantics, Data Mining and Data Warehousing, Knowledge Representation and Reasoning, Linked Data and Semantic Web, NoSQL Databases, Stream Data Management, Multimedia Management using Control Theory, Analytics, Graphics & Visualization, and GPU Computing, Applied Machine Learning, Computational Social Sciences, Computational Topology.

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