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Assistant Professor : RGIPT, India (July, 2021- Present)
Visiting (Adjunct) Assistant Professor : University of Minnesota, USA (Aug 2021 - Aug 2022)
SSHN Visiting Fellow, CNRS France (Aug, 2025)
Postdoc Experience:
University of Minnesota, USA (Aug 2020 - June 2021)
Michigan State University, USA (March 2019 - July 2020)
CNRS, France (April 2017 - March 2019)
Augsburg University, Germany (Jan 2016 - Feb 2017)
Ph.D. : 2010-2015: Tata Institute of Fundamental Research (TIFR), India
M.Sc. : 2008-2010: Indian Institute of Technology (IIT) Bombay, India
B.Sc. : 2005-2008: University of Calcutta, RamaKrishna Mission Vidyamnadira
Graduate (Ph.D.) Students
M.Sc.: Central University of Karnataka
B.Sc. : University of Calcutta
Qualified GATE (2022)
Email: gourabr22bs@rgipt.ac.in
Ph.D. Student (Inst. Fellowship)
Joining: Sept, 2022
Awardee, Raman Charpak (Indo-French) Fellowship 2024
Research Topic: Exploring Correlated Spin Systems in Quantum Materials with Neutron Scattering
My work delves into low-temperature strongly correlated electron systems, with an emphasis on quantum materials such as magneto-dielectric materials, single-ion magnets, single-chain magnets, and quantum spin liquids. During my PhD, I have gained expertise in synthesizing novel metal oxides and analyzing their crystallographic structures using XRD. I have hands-on experience with advanced neutron scattering techniques and data analysis, including neutron powder diffraction (NPD) to explore ground-state magnetic structures and inelastic neutron scattering (INS) to study minute excitations such as magnons, phonons, and crystal electric field (CEF) interactions, supported by MATLAB-based theoretical modeling.
Additionally, I have also worked on photocatalytic systems and a basic understanding of TEM, XPS, and Raman spectroscopy, enabling work with diverse materials. In the future, I aim to expand my neutron scattering expertise to other systems such as biological soft matter, MOFs, thin-film nanostructures, and single crystals. My research is driven by a curiosity about complex phenomena and a commitment to advancing materials science.
M.Sc.: University of Allahabad
B.Sc. : University of Allahabad
Qualified GATE (2022)
Email: ektak22bs@rgipt.ac.in
Ph.D. Student (Inst. Fellowship)
Joining: 01-Sept, 2022
Ph.D. open seminar: 10 September 2025
Date of PhD Award: 20 January 2026
PhD ThesisTitle: Investigation of Strongly Correlated Ruthenates through Neutron Scattering
I am working on strongly correlated electron systems. These materials are particularly interesting, owing to their unique and complex magnetic behaviors. My PhD work is focused on designing ruthenium (4d) based specialized magnetoelectric/multiferroic systems and investigating their magnetic and ME properties by adjusting the d-f coupling by introducing rare-earth ions (f-orbitals). The 4d-4f coupled systems create a playground for discovering new and unexpected phenomena. My main motivation is to explore the underlying physics of this correlated quantum materials through neutron diffraction (ND) and Inelastic Neutron Scattering investigation. I'm able to probe deep into these materials, uncovering details about their magnetic structures and how they change under different conditions as neutron is highly sensitive to small lattice distortions and local magnetic interactions. The INS depicts a clear picture about its spin-excitation and spin-phonon coupling. I have expertise in analysing and modelling ND and INS data using different software , e.g., FullProf, SARAH, SpinW, DAVE, and Mantid. In addition I am learning pair-distribution function analysis to investigate the small local distortion in lattice in this correlated quantum materials. I have a strong interest in developing expertise in Machine Learning, which is a current focus in research to complement the experiments. Through AI-ML Force Field Calculation I have investigated the presence of Magnon phonon and Spin phonon excitation in different compounds with near first-principles accuracy.
M.Phil. & M.Sc.: BBAU (A Central University) Lucknow
B.Sc. : Kanpur University
Qualified GATE (2022) & NET-JRF (2022)
Email: mohitk22bs@rgipt.ac.in
PhD Student (UGC-CSIR NET JRF Fellowship)
Joining: Sept, 2022
*Co-PI: Prof. Debashish Panda
Visiting Fellow at NIMS lab, Japan through JST LOTUS (Indo-Japan) program 2025-26
Research Topic: Multifunctional Materials-Perovskite Nanocrystals and Bulk Oxide
My research is centered on the development of multifunctional materials with applications in green and clean energy technologies. Driven by the urgency to mitigate global warming, I focus primarily on synthesizing highly efficient multifunctional materials. One is magnetocaloric materials which can be used as eco-friendly magnetic refrigerator. My additional motivation is to contribute to Carbon Zero initiatives by synthesizing efficient ambient photocatalysts that can convert carbon dioxide into valuable products like ethanol, methanol, and methane. I have expertise in sample synthesis employing various method. I have synthesized new oxide using solid-state-reaction method. I have grown single crystal using flux growth method. I have experience in optical floating zone method. In addition, I also grow nanocrystals using hot injection and solvothermal method for photocatalysis. To ensure the phase purity and to analyze the physical properties of these materials, I utilize a range of advanced analytical techniques. X-ray diffraction (XRD) is employed for crystallographic studies and phase identification, while UV-Visible (UV-Vis) spectroscopy is used for band gap determination. Thermal analysis, such as heat capacity measurements, provides insights into thermodynamic properties. For morphological and elemental analysis, I use Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM). Magnetic properties are thoroughly examined through magnetization versus field (M-H) and temperature (M-T) studies, as well as powder neutron diffraction (PND), which helps uncover the competing interactions and underlying physics in long-range magnetic ordering. Additionally, my research extends into the exploration of advanced quantum materials, including quantum spin liquids, spin chain systems, and two-dimensional layered honeycomb magnets with Kiteav interaction, and Kagome staircase systems. My plan is to gain expertise in Inelastic neutron scattering (INS) to probe magnetic excitations in quantum spin liquid systems.
M.Sc.: West Bengal State University
B.Sc. : West Bengal State University
Qualified GATE (2022)
Email: sayan@rgipt.ac.in
Ph.D. Student (Inst. Fellowship)
Joining as Ph.D.: Sept, 2023
Joining March, 2023 as Project Student through SERB Project
Research Topic: Microscopic Investigation of Correlated Quantum Materials
I am working on Quantum Materials using X-ray diffraction (HR-XRD), X-ray absorption spectroscopy (XAS) and Muon spin relaxation/rotation spectroscopy (muSR). I use high-resolution synchrotron XRD and XAS (XANES, EXAFS) to understand the minute details of crystal structure and elemental information. For the understanding of complex spin dynamics of our systems, I mostly use muSR, which is a great tool to probe local-level spin dynamics in materials. One of my motivations is to explore the quantum criticality in exotic magnetic materials. In addition, with synchrotron studies, I have good exposure on sample synthesis using solid-state-reaction method. I also plan to learn some complementary techniques, like X-ray Photoelectron Spectroscopy (XPS), Raman Spectroscopy, and Inelastic Neutron Scattering (INS). I have expertise in using some software like FullProf, Mantid, WiMDA, Origin, Athena, Artemis, etc.
PG Project Students
M.Sc. student in Chemistry (batch: 2024-2026) at FG College, Rae Bareli
Research Topic: X-ray Investigation of Correlated Quantum Materials
E-mail: asthasrivastava418@gmail.com
Astha is doing a master's in Chemistry. She is doing sample synthesis through the solid-state reaction method and the Rietveld refinement of XRD data. She has prior experience in the determination of base content in antacids by using acid-base titration and back titration method.
UG Project Students
B.Tech student in Computer Science and Design (batch: 2025-29) at RGIPT
Research Topic: AI-ML Assisted Study in Muon Spin Spectroscopy
E-mail: 25cd3014@rgipt.ac.in
Karan is a B.Tech student in Computer Science and Design Engineering with a research focus on Muon Sites Detection using Machine Learning. His work involves applying data-driven and physics-informed computational techniques to problems in condensed matter and materials physics. He is proficient in Python and C, with experience using scientific computing libraries such as NumPy, pandas, and SciPy. For physics-informed and materials-related calculations, he works with PyTorch and Pymatgen.
B.Tech student in Mathematics and Computing (batch: 2025-29) at RGIPT
Research Topic: AI-ML Assisted Study in Muon Spin Spectroscopy
E-mail: 25mc3016@rgipt.ac.in
Ayush is a B.Tech student in Mathematics and Computing, with primary interests in machine learning, computational modeling, and applied mathematics. His work involves building computational models inspired by physical processes, including probabilistic and stochastic frameworks such as p-bit-based models. Also interested in deep learning. He is proficient in Python and C, with experience using scientific computing libraries such as NumPy, pandas, Matplotlib, Seaborn, and SciPy. For physics-informed and materials-related calculations, he works with PyTorch and Pymatgen.
B.Tech student in Computer Science and Design (batch: 2025-29) at RGIPT
Research Topic: AI-ML Assisted Study in Inelastic Neutron Scattering
E-mail: 25cd3009@rgipt.ac.in
Deepanwita is a B.Tech student in Computer Science and Design Engineering, deeply passionate about artificial intelligence and machine learning for social impact. Drawn to building technology centered around women's safety, healthcare accessibility, and sustainable environments. Her approach blends deep learning, NLP, and on-device AI to create systems that are intelligent, privacy-conscious, and inclusive. Strongly interested in TinyML and responsible AI design. Proficient in Python, Java, C/C++, and JavaScript, working with libraries such as TensorFlow, PyTorch, pandas, and FastAPI.
B.Tech student in Computer Science and Design (batch: 2025-29) at RGIPT
Research Topic: AI-ML Assisted Study in Inelastic Neutron Scattering
E-mail:
Aryan is a B.Tech student in Computer Science and Design Engineering, with primary interests in artificial intelligence, machine learning, and deep learning. His work involves building AI-driven solutions for real-world challenges, including predictive health monitoring and smart classification systems using neural networks and ML models. Also interested in on-device AI, TinyML, and IoT-integrated machine learning. Proficient in Python, C/C++, Java, and JavaScript, with experience using NumPy, pandas, TensorFlow, Matplotlib, and FastAPI. He focuses on model training, real-time inference, and data-driven decision making to build practical, impactful solutions.
Past Members
B.Sc. (Hons. in Physics) (Batch 2021-2024), Ramakrishna Mission Vivekananda Centenary College, Kolkata
NIUS Project student through NIUS (HBCSE, TIFR) funding (2022- 2023) (https://nius.hbcse.tifr.res.in)
Research Topic: Modelling the Magnetic Ground State of Multiferroic Materials using Python.
Ms. Maana Ajmera (DIC Project-2024): B.Tech IDD student ( Batch-2023-2027) in CSE, RGIPT, India
Mr. Aditya Narayan (DIC Project-2024): B.Tech IDD student ( Batch-2023-2027) in CSE, RGIPT, India
Mr. Ashwani Srivastava (DIC Project-2024): B.Tech student ( Batch-2023-2027) in Electrical & Electronics, RGIPT, India
Mr. Rishabh Singh (DIC Project-2022): IDD student in CSE-AI ( Batch-2021-2026), RGIPT, India
Ms. Sanskriti Sarkar (DIC Project-2022): B.Tech student in CSE (Batch-2020-2024), RGIPT, India (Presently pursuing MS at the University of Pennsylvania, USA)