Department of Computer Science conducts Doctoral Programme in Computer Science in the following research areas:

Visit PhD Admissions page for admission details.

Major research areas include but not limited to:

  • Computational Geometry
  • Design of Algorithms
  • Combinatorial Optimization
  • Complexity Theory
  • Computational Geometry and Applications
  • Facility Location Problems
  • Graph Theory
  • Oriented Graph Coloring
  • Robot Motion Planning
  • Geometric Graph Theory and Applications
  • Discrete Mathematics
  • Algorithms: Sequential, Parallel, On-line and Approximation
  • Pattern Recognition
  • Machine learning
  • Deep Learning
  • Computer Vision
  • Image Processing
  • Data Modelling
  • Distributed Fault Tolerance

Library facilities for Research

Apart from the University’s main library (at Belur Main campus), CS Department has its own library housing books catering to the emerging areas of research and academics.

Access the online catalogue of RKMVERI Central Library: http://lib.rkmvu.ac.in/

Faculty-wise Research Profile

Swami Punyeshwarananda (Computer Vision, Machine Learning, Embedded Systems)

  • Automated Video Surveillance
  • Text to Speech processing
  • Image & Video compression

Swami Vidyapradananda (Convex and Non-linear Optimization, Machine Learning)

  • Accelerated and Accurate Large-scale AI/ML Algorithms
  • Predicting progression of Alzheimer’s Disease from MRIs with Restricted Boltzmann Machines
  • Shortest path algorithms for superpixel based image segmentation

Dr. Sudipta Das (Survival Analysis, Statistical Learning, Forecasting)

  • Bivariate Current Status Data with Competing Risk
  • Anomaly Detection in Statistical Learning
  • Estimation of Software Reliability and Finding Optimal Release Time

Dr. Joydeep Mukherjee (Graph Theory, Graph Algorithms, Combinatorics, Geometry)

  • Designing polynomial time algorithm for packing and covering problems in special graph classes like chordal, AT-free, minor free graphs.
  • Computing bounds for extremal problems in graph Ramsey theory, Erdos-Posa type problems.
  • Designing polynomial time algorithm for inclusion problem in two dimensional Euclidean plane in the domain of computational geometry.

Dr. Soumitra Samanta (Machine Learning, Computer Vision, Cheminformatics and Cognitive Computing)

  • Human action recognition, pose estimation and sign language recognition
  • Child gesture analysis to understand their language
  • Image processing
  • Embedding small molecules in different space

Br. Tamal (Computer Vision, Machine Learning)

  • Computer Vision in biomedical image annotation
  • General-purpose model-free Deep Reinforcement Learning for acceleration exploration and less variance
  • Automatic recognition for Indian Sign Language(ISL) and Avatar based ISL Generation system