PhD Program
This year we are offering a full-time Ph.D. program in (i) Computer Science in collaboration with Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI), and (ii) Mathematics in collaboration with NIT Durgapur (NITD) India. Our present research focus includes Cryptography and Security, Quantum Computation, Mathematics and Its Applications, Graph Algorithms, Machine Learning and Artificial Intelligence.
The rules and regulations for all the Ph.D. fellows are listed [here].
The general guidelines regarding contingency grants can be found [here]. The expense reimbursement form can be found [here].
Semester II
The classes for this semester start on January 24. The classes will be held offline. In the first semester, the students have to attend and clear four courses as decided by the Research Fellow Advisory Committee.
Courses Offered:
Here is the list of courses offered this semester and their respective instructor.- Advanced Cryptology (AC): Dr. Avijit Dutta and Dr. Avik Chakraborti
- Design and Analysis of Combinatorial Algorithms (DAA): Dr. Nilanjan Datta, Dr. Laltu Sardar, Dr. Ritankar Mandal
- Automata Theory (AT): Prof. Rana Barua, Dr. Nilanjan Datta
- Quantum Computation and Cryptology (QC): Dr. Arpita Maitra
- Deep Learning (DL): Dr. Swagatam Das, Dr. Abhishek Kumar
- Programming and Data Structure (PDS): Dr. Laltu Sardar and Dr. Ritankar Mandal
Academic Calendar:
Mid Semestral Examination (tentative): 03/04/2023 – 07/04/2023
End Semestral Examination (tentative): 15/06/2023 – 22/06/2023
Holidays: The list of holidays is given below.
- 23rd January: Netaji’s Birthday
- 26th January: Republic Day / Saraswati Puja
- 07th March: Doljatra
- 01st May: May Day
- 29th June: Eid-Ud-Zoha (Bakri Eid)
Semester I
The classes for this semester start on August 10. The classes will be held offline. All the selected candidates need to clear the coursework in the span of their first two semesters. In the first semester, the students have to attend and clear four courses as decided by the Research Fellow Advisory Committee and a mandatory course on Research Methodology and Research Ethics.
Courses Offered:
Here is the list of courses offered this semester and their respective instructor.- Cryptology (Cr): Dr. Nilanjan Datta and Dr. Avijit Dutta
- An Introduction to Cyber Security (CyS): Prof. Soumya D Moitra
- Discrete Mathematics (DM): Prof. Rana Barua and Dr. Shion Samadder Chaudhury
- Introduction to Computer Programming and Data Structures (PDS): Prof. Subhamoy Maitra, Dr. Laltu Sardar and Dr. Ritankar Mandal
- Machine Learning (M.L): Dr. Avisek Gupta
- Mathematics for Machine Learning (M.Ml): Dr. Payel Sadhukhan and Dr. Debolina Ghatak
- Design and Analysis of Algoriths (DAA): Prof. Samiran Chattopadhyay
- Programming in Python (P.Py): Prof. Samiran Chattopadhyay and Dr. Ayan Bandopadhyay
- Abstract Algebra (AA): Dr. Jishnu Ray
- Linear Algebra and Multivariable Calculus (LA): Prof. Goutam Mukherjee and Dr. Satyendra Kr. Mishra
- Combinatorics and Graph Theory (CG): Dr. Anupam Mondal and Dr. Sajal Kr. Mukhopadhyay
- Algebraic Topology (AT): Prof. Goutam Mukhopadhyay, Dr. Kuldeep Saha
- Research Methodology and Research Ethics (RM): Dr. Arpita Maitra, Prof. Rana Barua, Dr. Nilanjan Datta
Academic Calendar:
Mid Semestral Examination: 14/10/2022 – 21/10/2022 (Schedule given below)
End Semestral Examination (tentative): 23/12/2022 – 30/12/2022
Holidays: The list of holidays is given below.
- 15th August: Independence Day
- 01-07th October: Durga Puja
- 09th October: Laxmi Puja
- 24th October: Diwali
- 08th November: Guru Nanak Birth Day
- 25th December: Christmas Day
Timetable: The weekly timetable is available [here].
Meet-in-the-Middle: We conduct a weekly seminar, called Meet-in-the-Middle, each Wednesday from 4:00-5:00PM. The details is available [here].
Mid-Semester Examination Schedule:
- 14/10/22: Programming and Data Structure / Linear Algebra
- 15/10/22: Machine Learning
- 17/10/22: Discrete Mathematics / Algebraic Topology / Mathematics for Machine Learning
- 19/10/22: Cryptology / Abstract Algebra / Design and Analysis of Algorithms
- 21/10/22: Introduction to CyberSecurity / Combinatorics and Graph Theory / Programming in Python
- 28/10/22: Research Methodology