Department of Mathematics & Computing, IIT ISM Dhanbad

Call for applications

Summer Research Internship Scheme (SRIS) 2026

Call for Applications | Summer Research Internship Scheme (SRIS) – 2026 | Indian Institute of Technology (Indian School of Mines), Dhanbad
Applications are invited for the Summer Research Internship Scheme (SRIS) – 2026, open to UG and PG students from recognized institutions interested in research across science, engineering, technology, and management.
Selected interns will work with faculty mentors on ongoing research projects, gaining exposure to advanced research methodologies.
Internship Categories
• Category I – Summer Research Internship for Undergraduate Students
• Category II – Summer Research Internship for Postgraduate Students
• Category III – Long-Term Research Internship for B.Tech / M.Tech / M.Sc / MBA Students
Submission Email: [email protected]
Application Deadlines
• 15 April 2026 – Category I & II
• 30 April 2026 – Category III
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The monthly department newsletter, Gananam, September 2025 edition (Vol. 2, Issue 9), is now available.

To see all and previous newsletters, please check: https://www.iitism.ac.in/mathematics-and-computing-newsletter

The Department of Mathematics and Computing at IIT(ISM) Dhanbad has its roots in the establishment and evolution of the institute itself. Over the decades, the institution has expanded its academic offerings, and our Department is one of the key departments that emerged as part of the institute's broader academic growth.

Current research directions:
- Pure Mathematics
- Applied Mathematics
- Statistics
- Computer and Data Science

Please see the department video here:

Department of Mathematics & Computing, IIT (ISM) Dhanbad The Department of Mathematics and Computing at IIT(ISM) Dhanbad has its roots in the establishment and evolution of the institute itself. Over the decades, t...

We are proud to announce that Prof. Sukumar Mishra, Director of IIT (ISM) Dhanbad, has been elected as a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) on 19th May 2025.

This prestigious recognition is awarded to individuals who have made significant contributions to the advancement of artificial intelligence and its interdisciplinary applications. Being named a Fellow of AAIA reflects Prof. Mishra’s outstanding academic leadership, impactful research, and global influence in the field of emerging technologies.

We extend our heartfelt congratulations to Prof. Mishra on this remarkable achievement and wish him continued success in his endeavors to elevate academic and research excellence at national and international levels.



Ministry of Education Dharmendra Pradhan

The newsletter GANANAM (Vol. 2, Issue 1) from the Department of Mathematics & Computing is published.

Saraswati puja at our department.

The Department of Mathematics and Computing, IIT (ISM) Dhanbad, is showcasing its latest technologies and innovations at the R&D Fair, alongside the Industry-Institute Interaction (III), on 1st February 2025. This event aims to highlight cutting-edge research and foster collaborations between academia and industry.

Indian Institute of Technology ISM Dhanbad

Gananam Vol. 1 Issue 4 || Newsletter || December 2024
The December 2024 from the department is published. Please share with your peers.

Indian Institute of Technology ISM Dhanbad

Expert Talk by Prof. Mark M. Wilde, Cornell University, USA

Title: Machina Ex Quanta: Rise of the Quantum Boltzmann Machines
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*Date:* 10 January 2025 [Tomorrow]
*Time:* 6 pm IST
*Venue:* Seminar Hall of department

Zoom link: https://cornell.zoom.us/j/94447940227?pwd=jBVoPmOHpAb4jd5Q7tpXwzhbuTA96f.1

Abstract: Boltzmann machines are a well established model for classical machine learning, based on ideas rooted in physics like thermal distributions. Roughly eight years ago now, quantum Boltzmann machines were proposed as a generalization of their classical counterparts and can be understood as parameterized thermal states of local Hamiltonians. While this generalization allows for non-commuting Hamiltonians inaccessible in the classical case, training them for various optimization tasks had remained an obstacle. In this talk, I'll discuss how my coauthors and I have overcome this obstacle by deriving analytical expressions for the gradient and providing quantum algorithms that can estimate it. The algorithms make use of standard primitives such as the Hadamard test, classical sampling, and Hamiltonian simulation. I'll also show how to train quantum Boltzmann machines using a metric-aware gradient descent algorithm, which makes use of analytical expressions we have derived for quantum generalizations of the Fisher information matrix and quantum algorithms we have constructed for estimating information matrix elements. Finally, I'll introduce a new model called evolved quantum Boltzmann machines, which uses parameterized time-evolved thermal states as an ansatz, extending the conventional model of quantum Boltzmann machines. Evolved quantum Boltzmann machines incorporate real and imaginary time evolution according to two different non-commuting parameterized Hamiltonians, and they can also be trained using metric-aware gradient descent. If time permits, I'll mention applications of our findings to estimating time-evolved thermal states. Based on joint work with Daniel Koch, Michele Minervini, Dhrumil Patel, Saahil Patel, and available at arXiv:2410.12935, arXiv:2410.24058, and arXiv:2501.03367.

Bio: Mark M. Wilde received the Ph.D. degree in electrical engineering from the University of Southern California, Los Angeles, California. He is an Associate Professor of Electrical and Computer Engineering at Cornell University. He is an IEEE Fellow, he is a recipient of the National Science Foundation Career Development Award, he is a co-recipient of the 2018 AHP-Birkhauser Prize, awarded to “the most remarkable contribution” published in the journal Annales Henri Poincare, and he is an Outstanding Referee of the American Physical Society. His current research interests are in quantum Shannon theory, quantum computation, quantum optical communication, quantum computational complexity theory, and quantum error correction.

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🎉 Celebrating Placement Success! 🎉

We are thrilled to announce the outstanding placement achievements of the Department of Mathematics and Computing, IIT (ISM) Dhanbad!

💼 Highlights of Our Placement Drive:

🌟 Highest CTC Offered: ₹66.14 Lakhs per annum
📈 Average CTC: ₹30.16 Lakhs per annum
This remarkable accomplishment reflects the hard work and dedication of our students, the support of our faculty, and the trust of leading recruiters in our talent pool.

Congratulations to all the students on achieving this milestone! 🚀 Here's to even greater heights in the future!