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Research Areas in the CSE Department

The CSE department faculty is actively involved in research in various fields of Computer Science. The department provides an excellent research platform, and nurtures and challenges students to solve real-world research problems. The research in the department can be broadly classified into the following areas.

 

Computer Systems

Faculties / Instructor: Prof. Amey Karkare, Prof. Amitangshu Pal, Prof. Debadatta Mishra, Prof. Debapriya Basu Roy, Prof. Mainak Chaudhuri, Prof. Preeti Malakar, Prof. Priyanka Bagade, Prof. Subhajit Roy, Prof. Swarnendu Biswas, Prof. Urbi Chatterjee

 

Topics / Areas:
  1. Accelarators and GPUs
  2. Compiler and Runtime Systems
  3. Computer Architecture
  4. Digital VLSI
  5. Networks
  6. Operating Systems
  7. Parallel and Distributed Computing
  8. Virtualization and Cloud Computing

 

Foundation Courses:
  1. CS220: Computer Organisation
  2. CS330: Operating Systems

 

 

Cyber Physical Systems

Faculties / Instructor: Prof. Amitangshu Pal, Prof. Debapriya Basu Roy, Prof. Indranil Saha, Prof. Priyanka Bagade

 

Topics / Areas:
  1. Edge Computing
  2. IoT
  3. Robotics
  4. Sensors

 

Foundation Courses:
  1. CS202/3: Mathematics for Computer Science - II/III
  2. CS220: Computer Organisation
  3. CS330: Operating Systems
  4. CS340: Theory of Computation
  5. CS345: Algorithms II
  6. CS425: Computer Networks

 

 

Data Science and Analytics

Faculties / Instructor: Prof. Arnab Bhattacharya, Prof. Ashutosh Modi, Prof. Hamim Zafar, Prof. Preeti Malakar, Prof. Sayak Ray Chowdhury, Prof. Soumya Dutta, Prof. Sumit Ganguly, Prof. Sunil Simon, Prof. Sutanu Gayen

 

Topics / Areas:
  1. Bio-informatics
  2. Computer Graphics
  3. Data analytics
  4. Data Management in HPC and Distributed Systems
  5. Data Visualization
  6. Database
  7. Visual Computing

 

Foundation Courses:
  1. CS360: Introduction to Computer Graphics
  2. CS771: Introduction to Machine Learning

 

 

Formal Methods and HCI

Faculties / Instructor: Prof. Amey Karkare, Prof. Indranil Saha, Prof. Nisheeth Srivastava, Prof. Satyadev Nandakumar, Prof. Sruti Srinivasa Ragavan, Prof. Subhajit Roy

 

Topics / Areas:
  1. Formal verification
  2. Human Computer Interaction
  3. Programming language
  4. Software Engineering

 

Foundation Courses:
  1. CS335: Compiler Design
  2. CS340: Theory of Computation
  3. CS345: Algorithms II
  4. CS350: Principles of Programming Languages
  5. CS455: Introduction to Software Engineering

 

 

Machine Learning and AI

Faculties / Instructor: Prof. Amitangshu Pal, Prof. Arnab Bhattacharya, Prof. Ashutosh Modi, Prof. Hamim Zafar, Prof. Piyush Rai, Prof. Priyanka Bagade, Prof. Sayak Ray Chowdhury, Prof. Soumya Dutta, Prof. Subhajit Roy, Prof. Sutanu Gayen

 

Topics / Areas:
  1. Computer Vision
  2. Deep Learning
  3. Image Processing
  4. Machine Learning
  5. Natural Language Processing
  6. Re-inforcement learning
  7. Visual Computing

 

Foundation Courses:
  1. CS202/3: Mathematics for Computer Science - II/III
  2. CS771: Introduction to Machine Learning

 

 

Security and Privacy

Faculties / Instructor: Prof. Adithya Vadapalli, Prof. Angshuman Karmakar, Prof. Debadatta Mishra, Prof. Debapriya Basu Roy, Prof. Priyanka Bagade, Prof. Urbi Chatterjee

 

Topics / Areas:
  1. Applied Cryptography
  2. Computer System Security
  3. Cyber Security
  4. Hardware Securit
  5. Privacy

 

Foundation Courses:
  1. CS201: Mathematics for Computer Science - I
  2. CS202: Mathematics for Computer Science - II
  3. CS220: Computer Organisation
  4. CS330: Operating Systems

 

 

Theoretical Computer Science

Faculties / Instructor: Prof. Abhranil Chatterjee, Prof. Adithya Vadapalli, Prof. Anil Seth, Prof. Gunjan Kumar, Prof. Manindra Agrawal, Prof. Nitin Saxena, Prof. Raghunath Tewari, Prof. Rajat Mittal, Prof. Satyadev Nandakumar, Prof. Sayak Ray Chowdhury, Prof. Sumit Ganguly, Prof. Sunil Simon, Prof. Surender Baswana, Prof. Sutanu Gayen

 

Topics / Areas:
  1. Algorithm
  2. Complexity Theory
  3. Cryptography
  4. Number Theory
  5. Theoretical ascepts of ML
  6. Theory of Computation

 

Foundation Courses:
  1. CS340: Theory of Computation
  2. CS345: Algorithms II

 

 

 

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