Utkarsh Pratiush

Few Favorite Quotes

"मानव जब जोर लगाता है, पत्थर पानी बन जाता है।"
"When a human exerts full effort, even a rock turns into water."
Source: Rashmirathi - Ramdhari Singh Dinkar
"Happiness is when what you think, what you say, and what you do are in harmony."
Source: Quote from Mahatma Gandhi

Human in the loop active learning Microscope Image

At UT Knoxville, I am part of the AESPM_group. In my role as a Graduate Research Assistant, I’m harnessing the power of machine learning to fast-track materials discovery. My primary aim is to create automated workflows for microscopes(STEM and SPM). This endeavor is guided by Dr. Sergei in collaboration with ORNL.

I earned my Bachelor’s and Master’s degree in Material Science from the Indian Institute of Science. As my bachelor’s thesis I used First Principles to investigate the electronic properties of Lanthana. As part of my masters thesis I built software interface for characterizing ions toxicity. Here I realised I like to build software which accelarates scientific discovery. Post my academic journey, I enriched my professional expertise as a Research Engineer at Mindtree Limited. Here, I honed my skills in computer vision, natural language processing, and forecasting time series data. I try to keep myself up to date with current ML research both at hands on and theoretically.

Please reach out to me for collaborations, research opportunities, or just to chat about the latest in AI and materials science. I’m always eager to learn and share knowledge.

Keywords: Bayesian Optimization, Gaussian processes, Active learning, ML for science.


links: Google_scholar || Github || Linkedin || Email

news

Jun 12, 2025
Jun 3, 2025 Happy to share that I’ve joined the U.S. Analytical Sciences division at Western Digital in Silicon Valley as an intern! Excited to contribute to the development of next-generation memory storage devices
Jun 1, 2025 Reviewer at Temporal Graph Learning Workshop @ KDD 2025 (reviewed 2 papers).
May 23, 2025 Successfully Co-organized
Machine Learning in Scanning Transmission Electron Microscopy Workshop 2025 Sessions Delivered:
May 20, 2025 New Preprint Available
We are pleased to share our latest preprint:
stemOrchestrator: Enabling Seamless Hardware Control and High-Throughput Workflows on Electron Microscopes This work has been accepted as a talk at:
  • Microscopy & Microanalysis 2025, Salt Palace Convention Center, Salt Lake City, Utah.
  • It has also been selected for a spotlight talk at the CVPR-MM4Mat Workshop.
May 16, 2025 Reviewed a research paper submitted to npj Computational Materials as a peer reviewer.
Apr 1, 2025 Our work Building workflows for an interactive human-inthe-loop automated experiment (hAE) in STEMEELS accepted in Digital Discovery.
Mar 1, 2025 Reviewer at ICML 2025 (reviewing 3 papers).
Dec 18, 2024 Successfully co-organized AI and ML for Microscopy, Hackathon-2024, Check out the amazing submissions at link
Nov 3, 2024 Happy to share that our work Human-Augmented-Automated-Experimentation (hAE) in Electron Microscopy got accepted in AI4Mat-NeurIPS 2024 - paper link
Oct 5, 2024 Reviewer at ICLR 2024.
Sep 1, 2024 We have successfully deployed initial version of Human-Augmented-Automated-Experimentation hAE in Electron Microscopy. Try the simulator at this https://tinyurl.com/hAEapp.
Jul 30, 2024 Our work on “Realizing Smart STEM via Machine Learning on Remote High Performance Computer” got selected as a platform presentaiton at M&M 2024
Jun 5, 2024 I gave a talk about “smart data acquisition using AI and high compute” in ML for STEM workshop organised at UTK.
Jun 1, 2024 Reviewer at NeurIPS 2024.
May 18, 2024 Ended my 2nd semester at UT Knoxville with “A” grade in all courses. Looking forward to interesting research in summer.
May 11, 2024 Our project LangSim won the 1st prize in LLM hackathon
Oct 27, 2023 Excited to share that our paper titled “EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations” has been accepted to #AI4Mat Workshop at #NeurIPS2023
Apr 29, 2023 Happy to accept PhD position at UT knoxville starting this fall, supervised by Prof Sergei and in collaboration with ORNL.