Computer Science and Engineering - Research

The faculty of the Computer Science and Engineering discipline have active collaborations with leading researchers across the world. There are also several ongoing research projects with leading industries and government agencies.

Theoretical Computer Science - combinatorics, graph theory, algorithms, data structures, type theory, logic and complexity theory.

Faculty:  Deepak Rajendraprasad, Jasine Babu, Krithika Ramaswamy, Piyush P Kurur

Systems and Software - Computer Architecture, Operating Systems, Compilers and Programming Languages, Cyber Security, IoT, Distributed systems,  High performance computing.

Faculty:   Piyush P Kurur, Sandeep Chandran, Satyajit Das, Unnikrishnan C​heramangalath, Vivek Chaturvedi, Albert Sunny

Artificial Intelligence and Machine Learning - Bayesian learning, Deep Learning, Reinforcement Learning, Kernel Learning, Privacy Aware Learning.

Faculty:  Chandra Shekar Lakshminarayanan, Mrinal Kanti Das, Sahely Bhadra, Satyajit Das

Research Scholars (MS, PhD, PostDoc):  Abdul Rahoof T P, Abilasha S, Akshara Ravi, Ardra P S, Amrutha Benny, Chilankamol Sunny, Deepu Benson, Francis P, Ganesh P, Gaurav Jain, Haritha Madhav C, Harshitha C, Jishy Samuel, Julin Shaji, Kevin Jude Concessao, Kutty Malu V K, Lijo M Jose, Neha A S, Reshma Prasad, Rimmon Saloman Bhosale, Shabana K M, Shikha Mallick, Sreejith K P, Sumesh K S, Veena Prabhakaran, Yumna Fatma Farooqi

Staff: Vinayak M.

Centre for Research and Education in Data Science (CREDS): CREDS has been established jointly by faculty members from CSE,  EE, CE, ME, MA, PHY, and HSE with the vision to provide world class education, pursue cutting edge research, and develop data science and artificial intelligence for the benefit of society. CREDS hosts a MTech program in Data Science in addition to training MS and PhD students. A major agenda of CREDS is to foster active industrial as well as academic collaborations.     

Technology Innovation Hub on ​ Intelligent Collaborative System (TIH-ICS):  TIH-ICS has been established by National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) to create a strong foundation and a seamless ecosystem for CPS technologies by coordinating and integrating nation wide efforts encompassing knowledge generation, translation research, technology and product development, human resource development, innovation & commercialization standards and international collaborations. TIH-ICS is backed by faculty members from CSE, EE, ME, CE with expertise in various aspects of Cyber-physical systems.

Advanced Architecture Lab (AAL): This lab is set up to pursue research on various aspects of Computer architecture and design including research and development of novel system architectures, micro-architectural features, and design methodologies that are secure and energy-efficient in addition to achieving high-performance.

Centre for Computational Imaging (CCI): This central interdisciplinary center is engaged in pushing the frontiers in all aspects of imaging - sensing and image acquisition, processing and visualization, and acceleration. The center aims to synergize research across several layers of the computational system to identify new opportunities for improvements.

Lab for Advanced VLSI and Artificial Intelligence (LAVA): This lab is established jointly with faculty from EE to achieve excellence in IC design and research using the latest technology at the global level with state-of-the-art synthesis and simulation facilities. The goal in the future is to work towards setting up an IC design hub  that develops in-house IP cores for IoT applications and to facilitate research in Artificial Intelligence for the entire spectrum of high performance computing to embedded platforms.

High Performance Computing Cluster: The Central High Performance Computing cluster consists of 64 compute nodes, each with a dual 12-core (2.2 GHz and 4 GB RAM) Intel processor.