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Re: Computer Science at IIT Bombay
The Indian Institute of Technology Bombay (IITB or IIT Bombay) is a public engineering and research institution in Mumbai, India. In the QS World University Rankings 2014, it was ranked as India’s top university. It was ranked overall 202 globally and 35th among Asian institutes in the QS World University Rankings(Quacquarelli Symonds) for 2015. It featured in top 400 in the ranking by the Times Higher Education World University Rankings of 2015-16. Research Areas Algorithms Algorithms and complexity, Combinatorics and graph theory, Geometric algorithms. Programming languages and Compilers Theory of code optimization, Optimizing and parallelizing compilers, Analysis and implementation of functional and logic programming languages, Theory of programming languages. Database and Information Systems Object oriented, temporal and parallel databases, Query optimization and transaction management. Real-time databases systems, indexing multidimensional data, Wide-area distributed database systems, data dissemination systems, data warehousing and database and application security. Artificial Intelligence and Natural Language Processing Image processing, Pattern recognition and Computer vision, Intelligent systems and their applications–tutoring systems. Natural language understanding, Machine learning and Neural networks. Machine translation, Semantics Extraction, Document understanding, Cross lingual information Retrieval, Intelligent interfaces. Software Engineering Object oriented software development, Component architectures. Re-engineering of software. Systems analysis and design, MIS systems, Project management, Quality assurance. Formal Methods Formal specification, design and verification of hardware and software systems. Logic, automata theory and their applications in reasoning about systems. Automated theorem proving, Model checking, Reachability analysis of large and infinite state spaces: exact and approximate techniques. Distributed Systems Performance Evaluation, fault tolerance and scalability issues in distributed systems. Distributed object-based systems, Programming models and Runtimes for generic agents, Parallel Computing, High performance cluster computing, Distributed operating systems. Self-configuration using abstract performance and capacity models of distributed component based applications, Topology based problem detection and root cause isolation in enterprise environments. Computer Networks Performance modeling, analysis and design of wired and wireless networks. Implementation and verification of network security protocols. Deployment, data management, communication and energy-efficiency issues in Sensor Networks. Design of content distribution networks for data dissemination. Architectures and protocols for metro optical networks, Network algorithms, Utility and Pricing models. Quality-of-service protocols, Mobile Computing, Voice Routing, Voice over IP, RFID networks, Enterprise networks, Access and Broadband networks. Data Mining Data integration models and algorithms, Graphical models, Information extraction and retrieval, Forecasting and smart e-business, Sensor and Bio-informatics data mining, Text and Web data mining. Integrating mining with relational DBMS, Temporal mining, Integrating mining with OLAP. Computer Graphics, Computer Vision and Image Understanding Computer-aided graphics design, Multimedia, High Performance computing, Visualization, Rendering, Animation, Image and video retrieval, motion capture, point based methods Real-Time and Embedded Systems Functional Programming Applications, Reconfigurable computing, Automobile Telematics, Embedded control units, Design and development of robots and sensor platforms. Formal Languages and Bio-inspired Computing DNA, Membrane and Quantum Computing, Combinatorics on Words. |
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