Seminar on Probing Higgs Boson at the Large Hadron Collider (LHC)
2026-01-07 15:00 - 16:00 (Asia/Kolkata) | S-305, SR Block
The Department of Physics is organising a research seminar on the topic “Probing Higgs Boson at the Large Hadron Collider (LHC)” at 03.00 PM, January 07, 2026. The seminar will be delivered by Dr Gouranga Kole, Postdoctoral Research Fellow, National Taiwan, University and CERN, Geneva, Switzerland.
Abstract
Recent results on measurements related to the Higgs boson using proton–proton collision data recorded at a center-of-mass energy of 13 TeV by the CMS experiment at the LHC will be presented. The seminar will begin with an overview of the object reconstruction techniques employed in the CMS experiment, providing essential context for the subsequent analyses. The main focus will be on Higgs boson decays into a top quark and a light quark within the framework of the two-Higgs-doublet model. In particular, the signal strengths and the corresponding upper limits on the production cross sections will be discussed, offering insights into Higgs–fermion interactions and possible signs of physics beyond the Standard Model. The seminar will conclude with a summary of the current status of charged Higgs boson searches at CMS.

Five-Day Hands-on Workshop on HPLC & GC-MS
2026-01-19 09:00 - 2026-01-23 17:00 | Tiered Classroom, 5th Floor, Admin Block
The Office of Dean Research, Central Research Facility & I-STEM is organising a Five-Day Hands-on Workshop on High Performance Liquid Chromatography (HPLC) & Gas Chromatography–Mass Spectrometry (GC-MS) on January 19 – 23, 2025.
Objectives

Provide participants with a comprehensive understanding of High-Performance Liquid Chromatography (HPLC) and Gas Chromatography–Mass Spectrometry (GC-MS).
Bridge the gap between academic research and industrial applications of these analytical instruments.
Offer hands-on training on sample preparation, instrument operation, and data interpretation.
Expose participants to industry perspectives, challenges, and future trends in analytical chemistry.
Introduce participants to the I-STEM System for collaborative scientific research.
Analytical chemistry, Material science, and nanotechnology.

Resource Persons

Prof.S Mannathan, Professor, SRM-AP – Facility In-charge for GC-MS Instrument, Expert in Organic Chemistry.
Dr Seema Rani, Assistant Professor, SRM-AP – Facility In-charge for HPLC Instrument, Expert in Organic Chemistry.
CIDR Faculty → Research-focused sessions each afternoon
Spinco Biotech Team – Practical demonstrations & theoretical applications on both instruments
Shaik Afreen, Arundhati Sahu & Rushikesh – Practical demonstrations
Dr Sabyasachi Mukhopadhyay & Arun – I-STEM System module, & Material Characterization Techniques
Dr Bikash Sharma, DRL, R & D, Sr. Scientist, – Synthesis of Materials, Catalytic properties, Industry perspectives on HPLC & GC-MS (20th & 21st)
Dr Manasa Arvapally, Analytical Scientist, Dr Reddy’s Laboratories (DRL) – Introductory and industry-oriented sessions (22nd & 23rd)

SRM University–AP to Host Guest Talk on Hybrid Quantum Simulations for HPCQC
2026-01-29 03:00 - 16:00 | 304, Conference Hall, J C Bose Block
The Office of the Dean–Research, SRM University–AP, is organising a distinguished Guest Talk by Dr Namrataa Kommineni, AICTE Industry Fellow at HPC Tech, CDAC–Pune, on January 29, 2026.
The talk, titled “Exploring Hybrid DFT Quantum Embedding Simulations of Molecules for HPCQC,” will focus on emerging approaches that integrate Hybrid Density Functional Theory (DFT) with quantum embedding techniques to enable advanced molecular simulations. The session will highlight how active molecular regions can be treated with high-fidelity quantum methods, such as the Variational Quantum Eigensolver (VQE), while being embedded within scalable DFT environments.
Dr Kommineni will discuss how accuracy and computational efficiency scale with system size and complexity using noiseless estimation on quantum platforms. The findings demonstrate significant efficiency gains compared to traditional correlated quantum chemistry methods and underline the importance of continued exploration at the intersection of High-Performance Computing (HPC) and Quantum Computing (QC).
The talk is expected to provide valuable insights for researchers, faculty members, and students interested in quantum chemistry, materials science, and next-generation computational simulations, emphasising the role of HPC-QC in bridging fundamental quantum rigor with real-world, materials-scale applications.

Workshop on IP Creation and Technology Transfer
2026-02-05 10:00 - 15:30 | ALC 1, Homi J Bhabha Block
The Technology Transfer Cell organises a one-day workshop on “Intellectual Property Creation and Technology Transfer” on February 05, 2026. The workshop provides an integrated overview of intellectual property creation and technology transfer in academic research. It covers patentability, novelty, inventive steps, and patent drafting, followed by practical insights into technology valuation, licensing, and industry engagement.
The workshop will have two sessions. The first session will be held by Registered Indian Patent Agents and Trademark Agents – Mr Amit Sudarsan, Director, Videaim IP Pvt., Ltd., and, Walnut IP Pvt., Ltd. and Dr Madhavi Muppirala, Director, Videaim IP Pvt., Ltd., and Walnut IP Pvt., Ltd. They will elaborate on the topic – “From Idea to Invention: Understanding Novelty, Inventive Step, and Patent Drafting”.
The second session will be delivered by Prof. G S VinodKumar, Associate Dean-Technology Transfer Cell, SRM University-AP, on the topic – “Technology Transfer Pathways: Valuation, Licensing, and Industry Engagement”.
The workshop aims to equip faculty members and research scholars with the knowledge required to translate innovations from the laboratory to real-world impact.

HPCC Workshop
2026-02-06 10:00 - 13:00 | SRM University-AP
The Office of Dean-Research is organising a one-day HPCC workshop to ignite innovations in computing. The workshop will delve into HPCC systems, how to connect HPCC to PuTTY, Linux commands, transferring files to HPCC using Win SCP and PBS script for job submission.
Date: February 06, 2026
Time: 10:00 AM – 01:00 PM
Join the workshop and explore novel frontiers in Computing!

4-Day Workshop on Advanced Academic Writing
2026-02-24 09:30 - 2026-02-27 17:00
The Office of Dean-Research is organising a 4-Day Workshop on Advanced Academic Writing on February 24-27, 2026. The workshop aims to equip participants with essential strategies for developing research questions, theoretical frameworks, and evidence-based arguments suitable for high-impact journals.
The workshop will be beneficial for participants to: –

Enhance skills in writing grant proposals, book chapters, and conference abstracts for interdisciplinary audiences
Hands-on training in revision techniques, peer review simulation, and ethical use of AI in academic writing
Build a collaborative network among humanities scholars in India

Key Topics of Discussion:-

Literature Review, Tools, Ethics & Publication Standards
Writing Thesis and Dissertation
Strategies of Referencing in Academic Writing and Scopus AI
Navigating Technicalities: Scopus Database, ORCiD, and Google Scholar
Research Integrity in the Age of AI
Lecture on Project Grant, Fellowship, and More

Learn from Resource Persons:-

Dr Priyanka Tripathi, IIT Patna
Prof. P K Nayar, University of Hyderabad
Prof. Diana Fox, Bridgewater State University
Dr Ridhima Tewari, IIT Dharwad
Dr Shalini Mittal, Bennet University
Dr Soni Wadhwa, SRM University-AP
Shubhada Nagarkar, Savitribai Phule Pune University
Dr Debashrita Dey, IIT Dhanbad
James Campbell, Intellect Books
Prof. Saseendran Pallikadavath, University of Portsmouth

Registration Link – https://forms.gle/L5iFRgaKWdLorJCJ6
Payment Link – https://payment.collexo.com/user/login/?dest=/pay-fee/srm-ap-events/

UDL#23 - Is AI Really Useful for Materials Science?
2026-02-24 11:00 - 13:00 | ALC 1, Homi J Bhabha Block
The Office of Dean-Research is organising the 23rd edition of the University Distinguished Lecture inviting Prof. Stefano Sanvito, Professor and Chair of Condensed Matter Theory, School of Physics and Director, CRANN (Centre for Research on Adaptive Nanostructures and Nanodevices), Trinity College Dublin, Ireland.
Title of the Lecture: “Is AI Really Useful for Materials Science?”
Abstract
AI and machine learning have rapidly become important tools for our daily life, providing assistance over many tasks. These, however, often concern relatively low-stake domains, such as idea generation, text summarisation, automated paper writing/ reviewing, etc. The physical sciences, however, demand far more: accuracy at the level of experimental validation, reproducibility across thousands of steps and the orchestration of a vast and diverse toolset.
In this talk I will describe our attempts at integrating machine-learning and AI methods into materials science, by looking at rather different domains. Firstly, I will discuss a machine-learning scheme for predicting the Curie temperature of ferromagnets, which uses solely the chemical composition of a compound as feature and experimental data as target [1]. In particular, I will discuss how to develop meaningful feature attributes for magnetism and how these can be informed by experimental and theoretical results. Furthermore, I will show how the experimental data can be mined from published scientific literature with the help of natural language processing tools [2].
Then, I will describe how an accurate description of the structure of materials, which is amenable to be used with machine learning, can offer a quantum-chemistry-accurate description of local properties at virtually no computational costs. This is based on a newly developed cluster expansion formulated in terms of Jacobi-Legendre polynomials. Such general framework allows us to construct, on the same footing, extremely accurate force fields [3] as well as converged electron densities [4]. These can both be integrated in material-discovery workflows generating unprecedented speedup.
Finally, I will present two examples of how visual-graphic techniques can be integrated into materials science. In the first case autoencoder neural networks will be used to denoise scanning electron transmission microscopy images [5], thus allowing us to perform microscopy on fragile samples, which rapidly degrade under electron irradiation. In the second case, I will use movie- enhancement methods to provide high-resolution tomographic maps of complex materials complexes [6]. Importantly, the same method can also be used for medical imaging and can be incorporated in medical devices.
[1] Physical Review Materials 3, 104405 (2019).
[2] npj Computational Materials 9, 222 (2023).
[3] Physical Review B 108, 094102 (2023).
[4] npj Computational Materials 9, 87 (2023).
[5] Machine Learning: Science and Technology 4, 015025 (2023).
[6] Nature Communications 15, 7962 (2024).

Indo-German Scientific Meeting to Strengthen Scientific Collaboration
2026-02-27 10:00 - 2026-02-28 13:00 | ALC 1, Homi J Bhabha Block
The Department of Biological Sciences is organising a two-day Indo-German Scientific Meeting (2026) bringing together antimicrobial resistance (AMR) research experts from the Freie Universität Berlin, and faculty members of the department.
Day one will have a panel discussion that focuses to create awareness on the dimensions and precautionary steps needed to be taken to contain any microorganisms. Day two shifts the focus on strengthening Indo-German research collaboration, promoting academic exchange, and identifying opportunities for joint projects and international funding. By aligning complementary expertise and shared priorities, the meeting aims to establish sustainable partnerships that advance AMR research and translate science into public health impact.
Prof. Thomas Alter, Dean of Studies, School of Veterinary Medicine, Freie Universitaet Berlin, Prof. Uwe Roesler, Dean, School of Veterinary Medicine, Freie Universitaet Berlin, Prof. Robert Klopfleisch from the Institute of Veterinary Pathology, Dr Anika Friese from the Centre of Infectious Medicine, Prof. Jayaseelan Murugaiyan, Associate Dean together with the faculty members of the School of Engineering and Sciences (SEAS), SRM AP will attend this event.
