The Department of Computer Science and Engineering (CSE) at the Indian Institute of Technology, Hyderabad (IIT-H) aims to be a national leader in computing research and state-of-the-art pedagogy. With "global excellence and local relevance" as its driving philosophy, the department has resolved to contribute to the advancement of Information Technology in India. The CSE Department at IIT-H offers B.Tech, M.Tech and Ph.D programs. The department at IIT-H comprises 16 young faculty members (with several adjunct faculty from reputed academic and industry backgrounds), who are actively engaged in research areas including theoretical computer science, algorithms, graph theory, networking, distributed systems, compilers, machine learning, and image/video processing. The faculty also have large sponsored research projects in the application domains of cyber-physical systems, disaster management, converged wireless technologies, big data analytics and visual intelligence. The department has risen in stature over its short existence, evidenced by a sharp rise in opening and closing JEE ranks (GC Closing rank: below 1000 in 2015). The department has a sound placement record with top hiring companies in recent years including Google, Amazon, Microsoft, IBM, etc.
Research activities includes Indo-Japanese collaborative project on “Information Network for Natural Disaster Mitigation and Recovery (DISANET)”; Key partner of the Cyber-Physical Systems Innovation Hub, large interdisciplinary project funded by DeitY, Govt. of India to develop CPS systems for a smarter planet and Converged Cloud Radio Access Network Technologies (CCRAN); Efficient algorithms and effective visualizations for Big Data Analytics; Computer vision and machine intelligence for real-world human behaviour understanding; Software Defined Networking; Polyhedral compilers for next- gen High-Performance Computing solutions; Theoretical Computer Science, Graph Theory and Algorithms; Compilers, Programming Languages; Parallel Programming, Distributed Systems; Databases, Data Mining, Information Retrieval.