Anoop completed his Ph.D. in Civil Engineering from Indian Institute of Science Bangalore in 2015, after which, he worked as a postdoctoral researcher in University of California Los Angeles from 2015 to 2017. In October 2017, he joined IIT Delhi as an Assistant Professor in the Department of Civil Engineering and heads the M3RG.

Amreen is currently working on Tellurite and borosilicate glasses using molecular dynamics, to understand their structure and properties. She did her Ph.D. from CEA, France. Her thesis studied the impact of irradiation on the durability of the borosilicate glasses (used in the field of nuclear waste management). She has been now awarded the prestigious SERB-NPDF fellowship to work on the project “Machine Learning for Glass Science”.

Ravinder works on the mechanics and kinetics of two-dimensional materials. He completed his B.Tech in Civil Engineering from IIT Roorkee. He worked in industry for a year after which joined M3RG, IIT Delhi as a research scholar. He has successfull defended his thesis and is currently working as a postdoctoral researcher at the University of Wisconsin Madison, USA.

Awards

• SERB Travel grant (2019)
• ICG-GOMD 2019 registration grant (2019)
• Prime Ministers Research Fellowship (PMRF)
• SITARE/SRISTI Gandhian Young Technological Innovation (GYTI) Awards/Appreciations (2020)

Rajesh works on the development of interatomic potentials and simulation of silicate glasses. He completed his B.Tech in Mechanical Engineering from NIT Hamirpur and M.Tech in Aerospace Engineering from IIT Kanpur. He worked in the industry and in academia for a few years before joining M3RG, IIT Delhi as a research scholar. He has successfully defended his thesis on 18 July 2023 and currently working as Early Doctoral Researcher at the Indian Institute of Technology Delhi, India.

Tanu works on the experimental and peridynamics studies on impact damage in brittle materials. Currently she is also working on studying the mechanical properties of metals using MD. She completed her B.Tech and M.Tech in Civil Engineering from NIT Jaipur prior to joining M3RG, IIT Delhi as a research scholar.

Ashish works on the atomistic and mesoscale mechanics of calcium silicate hydrates gel (cement hydrates). He completed his B.Tech and M.Tech in Civil Engineering from IIT Delhi prior to joining M3RG, IIT Delhi as a research scholar

Zaki works on developing machine learning models for predicting glass properties. He is also working on developing Natural Language Processing (NLP) and Natural Language Understanding (NLU) pipeline for information extraction from scientific literature for materials. He completed his B.Tech. in Civil Engineering from MNNIT Allahabad prior to joining M3RG, IIT Delhi as a research scholar. He has been awarded with Prime Minister’s Research Fellowship in December 2020 cycle.

Education

PhD Course Work

Brief CV: Click here to download.

Academic Referres:

• Prof. N. M. Anoop Krishnan, Department of Civil Engineering, IIT Delhi
• Prof. Jayadeva, Department of Electrical Engineering, IIT Delhi

Conferences and workshops attended:

International Conferences

• 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 13465–13483, Toronto, Canada. Association for Computational Linguistics, 2023
  • DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
• Glass and Optical Materials Division Meeting (GOMD2023), June 4 - 8, 2023, New Orleans, Louisiana, USA (Oral)
  • Automated extraction of glass compositions and properties from research literature
• Engineering Mechanics Institute Conference 2023 (EMI-2023), June 6 - 10, 2023, Atlanta, Georgia, USA (Oral)
  • Investigating large language models’ understanding of mechanics
• 2023 Materials Research Society Meeting & Exhibit, April 10 - 14, 2023, San Francisco, California, USA (Oral)
  • Extracting materials Compositions from research papers using natural language processing
• 26^th International Congress on Glass, 2022 (Oral presentations, Online)
  • Predicting Vickers Hardness of Glasses as a function of processing parameters.
  • Predicting Optical properties of Glasses as a function of testing parameters.
• Şişecam 37^th International Glass Conference, Istanbul, Turkey, 2022
  • Machine Learning Based Predictions and Explanations of Glasses Properties as a Function of Composition, Testing, and Processing Parameters (Poster)
• Pacific Rim Conference on Ceramic and Glass Technology including Glass and Optical Materials Division Meeting (GOMD2022) (Oral presentations, Online):
  • Predicting electrical properties of Glasses as a function of composition and wavelengths
• Pacific Rim Conference on Ceramic and Glass Technology including Glass and Optical Materials Division Meeting (GOMD2021) (Oral presentations, Online):
  • Predicting Normal and Anomalous Glasses Directly from the Indent Images using Machine Learning
  • Extracting the Synthesis and Processing Protocols from Materials Science Literature for Improved Property Prediction
  • Understanding the optical properties of glasses using interpretable machine learning
• Material Science & Technology 2021 (MS&T21) (Oral presentations, Online):
  • Elucidating Compositional Governance of Optical Properties Oxide Glasses Using Interpretable Machine Learning
  • Predicting Glass Behavior from Optical Microscopy Images Using Interpretable Machine Learning

Workshops and short-term courses

• NVIDIA DLI courses under National Supercomputing Mission during the period of January - March.
• Fundamental of Deep Learning by NVIDIA Deep Learning Institute, June 8th, 2021.
• Fundamental of Accelerated Data Science with RAPIDS by NVIDIA Deep Learning Institute, June 9th, 2021.
• Building Transformer-based Natural Language Processing Applications by NVIDIA Deep Learning Institute, June 10th, 2021.
• 6^th International Course on Seismic Analysis of Structures using OpenSees, July 19th – 22nd, 2021

Sajid works on multiscale modeling of deformation and fracture in brittle materials using Physics-Informed Machine Learning (PIML). He completed his B.Tech. in Civil Engineering from NIT Hamirpur . He worked as research scholar at IIT Gandhinagar prior to joining M3RG, IIT Delhi as a Ph.D. student. He has been awarded with Prime Minister’s Research Fellowship in December 2022 cycle. For more details, please visit his personal website.

Suresh works on Physics-informed Graph Neural Network for Accelerated Materials Modeling. He completed his B.Tech. in Civil Engineering from IIT Delhi prior to joining M3RG, IIT Delhi as a research scholar.

Education

PhD Course Work

Brief CV: Click here to download.

Academic Referres:

• Prof. N. M. Anoop Krishnan, Department of Civil Engineering, IIT Delhi
• Prof. Jayadeva, Department of Electrical Engineering, IIT Delhi

Conferences and workshops attended:

International Conferences

• Material Science & Technology 2019 (MS&T19) (Offline):
  • Machine learning to predict the elastic properties of glasses
• Material Science & Technology 2021 (MS&T21) (Online):
  • Oral: Scalable Gaussian Processes for Predicting the Optical, Physical, Thermal, and Mechanical Properties of Inorganic Glasses Using Compositions for Large Datasets.
  • Poster: Developing Physics-based Descriptors for Property Prediction in Oxide Glasses.
• International Materials Research Congress - IMRC 2022 (Online)
  • Oral: Developing physics-based models for property prediction in oxide glasses using descriptors.
• International Conference on Learning Representations, 2023 (Offline) - Paper: Enhancing the inductive biases of graph neural ode for modeling physical systems - Workshop (Physics4ML): Learning the dynamics of physical systems with hamiltonian graph neural networks

For more details, please visit his personal website.

Junaid is developing machine learning based surrogate models for optimization of cement production. He completed his B.Tech. in Civil Engineering from NIT Srinagar prior to joining M3RG, IIT Delhi as a research scholar.

Student @ IITD

ce1160208@iitd.ac.in 9990363338 linkedin.com/in/hargun-singh

Mehran is currently working on understanding the mechanical behaviour of composite materials and fracture propagation using AI/ML techniques. He completed his B.Tech. in Civil Engineering from NIT Srinagar prior to joining M3RG, IIT Delhi as an MSR student. He has recently joined John Hopkins University as a PhD student.