CV
Rounak Mukherjee
Email: rounak21@iiserb.ac.in, rounakmukherjeenaity@gmail.com
Phone: +91 8670470354
LinkedIn: Rounak Mukherjee
Location: Bhopal, Madhya Pradesh, India
Program: BS-MS Dual Degree, Natural Sciences (Physics Major) – 5th Year
Institution: Indian Institute of Science Education and Research (IISER) Bhopal
Research Interests
I am a final year BS-MS student at IISER Bhopal. My research interests lie in Nuclear Astrophysics, Compact Objects, and Cosmology. I am interested in the Theoritical aspects of understanding the natural phenomenon in the extremes domains of gravitation. Along with this I have a keen interest in Machine Learning, Deep Learning and I want to implement these computaional tools to uncover the physical processes in nature.
Education
| Qualification | Institute | Year | Result |
|---|---|---|---|
| BS-MS | IISER Bhopal | 2021–Present | 8.14/10 (Till 9th semester) |
| Intermediate / 10+2 | Janai Training High School (WBCHSE) | 2021 | 96.2% |
| Matriculation | Janai Training High School (WBBSE) | 2019 | 95.28% |
Academic Achievements
- NET Qualified (PhD Only)
- INSPIRE Scholarship – Department of Science and Technology, Govt. of India
- JBNSTS Fellowship – Govt. of West Bengal (Opted out to accept INSPIRE)
- Swami Vivekananda Merit-cum-Means Scholarship – Govt. of West Bengal
- National Talent Search Scholarship (NTSE) – NCERT, Govt. of India
- National Means-cum-Merit Scholarship – Department of School Education and Literacy, Govt. of India
MS Thesis Projects
1. Characterization of MR Curves: Predictions through Machine learning (To be Archived Soon*)
Jul 2025 – Oct 2025 (COAST Group, IISER Bhopal)
Guide: Dr. Ritam Mallick (Associate Professor, Physics, IISER Bhopal)
GitHub Repo
- Proposed a new methodology for Characterizing (and Representing) MR curves of Neutron Stars.
- Quantified the Bending properties.
- Established the reason behind the bending in MR Curves.
- Connected the Bending with the observations.
- Established an Unique property for characterizing Equation of States.
- Used Feature Tokenizer Transformer models for predictions.
2. A Study of Speed of Sound in Neutron Stars: General Relativistic Calculations
Oct 2025 – Present (COAST Group, IISER Bhopal)
Guide: Dr. Ritam Mallick (Associate Professor, Physics, IISER Bhopal)
- Developing a Theoritical framework for Speed of Sound inside Neutron Star.
Projects
Stability and Migration of Twins on Numerical Grid
May 2024 – Aug 2024 (Summer Intern, COAST Group, IISER Bhopal)
Guide: Dr. Ritam Mallick (Associate Professor, Physics, IISER Bhopal)
GitHub Repo
- Solved TOV equations numerically to generate Mass-Radius (M-R) curves for neutron stars.
- Applied various equations of state (Polytropic, Tabular, Piece-wise) to analyze Hadronic and Twin Stars.
- Simulated time evolution and stability using Einstein Toolkit and WhiskyTHC.
- Currently developing ML models to identify Twin Star formation conditions. (Ongoing)
Detection of Solar Vortices Using Machine Learning Techniques
Aug 2024 – Present
Guide: Dr. Nitin Yadav (Assistant Professor, Physics, IISER TVM)
GitHub Repo
- Implemented classical methods for vortex detection (e.g., Γ-method, LAVD, Swirling Strength).
- Integrating Unsupervised Machine Learning to enhance vortex structure detection. (Ongoing)
Interferometry and Stage Characterization and Automatization
May 2023 – July 2023 (Intern, Femtoscience Facility Lab, IIT Madras)
Guide: Dr. Sivarama Krishnan (Associate Professor, Max Planck Partner Group)
GitHub Repo
- Automated and characterized a 3-axis translation stage using Arduino and DC motors.
- Built a Python GUI to control movement along X, Y, and Z axes.
- Gained hands-on experience in High Harmonic Generation.
Quantum Computation and Quantum Entanglement
July 2023 – August 2023
Guide: Dr. Kuntal Roy (Assistant Professor, EECS, IISER Bhopal)
- Studied fundamentals of quantum computing, quantum gates, circuits, and entanglement.
- Explored applications in quantum computation and Bell’s inequality.
Identification of Glitches in Gravitational Waves Using ML
Aug 2023 – Dec 2023
IISER Bhopal
GitHub Repo
- Built supervised ML models to classify gravitational wave signals from noise/glitches.
Skill Sets
- Numerical Relativity Software: Einstein Toolkit, WhiskyTHC
- Programming: Python (NumPy, Pandas, Matplotlib, scikit-learn, kuibit), C (Basics), LaTeX
- Scientific Software: ORIGIN, MATLAB, Mathematica, IGOR Pro
- Editing Tools: Adobe Premiere Pro, DaVinci
- Web Development: Developed HamaraCampus with team , Developed and Managing a website for Bhramman
Schools & Conferences Attended
- Sagan Workshop 2025 – Organized by NASA
- Nordita Winter School 2025 – Physics of ML & ML for Physics (Attending)
- SOKENDAI Asian Winter School 2023 – Certificate
- Multi-Scale Methods Summer School 2023 – Gdansk University of Technology
Certificate - Sagan Workshop 2023 – Organized by NASA
Certificate
Selected Courses Taken
Physics
Standard Model of Particle Physics (PHY639), Cosmology (PHY630), General Theory of Relativity (PHY616), Quantum Field Theory (PHY615), Nuclear and Particle Physics (PHY404), Introduction to Astronomy and Astrophysics (PHY413), Atomic & Molecular Physics (PHY402), Condensed Matter Physics (PHY403), Electrodynamics (PHY407), Quantum Mechanics (PHY303 & PHY106), Classical Mechanics (PHY305 & PHY101), Thermal Physics (PHY309), Basic Electronics (PHY311), Mathematical Methods (PHY301), Physics Through Computational Thinking (PHY206), and more.
Last updated: Oct 2025