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I am a Postdoctoral Research Assistant at University of Oxford, working under the supervision of Professor David Clifton. My research broadly focuses on medical AI. I graduated from University of Illinois, Chicago , with a PhD in Computer Science, working under the supervision of Professor Cornelia Caragea . My research broadly focuses on applied natural language processing and deep learning. During the summer of 2024, I interned at Adobe Research in Bengaluru, where I worked in the GNN+LLM+NLP domain under the mentorship of Sambaran Bandyopadhyay. I received B.E.(Hons.) in Computer Science from Birla Institute of Technology and Science, Pilani, where I was advised by Professor Virendra Singh Shekhawat. Additionally, I have gained industry experience of two years at Samsung Research Institute-Noida.
NEWS:
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(*indicates equal contribution) My current research centers on applied AI and NLP, with a strong emphasis on Medical AI and AI for Science. I develop practical and reliable machine learning systems for healthcare and scientific domains, including chemical, civil, and geodynamics engineering, as well as finance. My work also explores tiny recursive models for reasoning tasks, research paper generation, and Android malware detection. In addition, I work on computer vision problems, particularly 3D reconstruction from medical imaging data. My earlier research focused on downstream applications of Keyphrase Generation and Stance Detection, contributing to applied NLP and structured language understanding. |
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Krishna Garg, Dhruv Kumar, Khantesh Agrawal ChemRxiv 2026 Preprint |
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Krishna Garg*, Firoz Shaikh*, Sambaran Bandyopadhyay, Cornelia Caragea Under Review |
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Krishna Garg, Cornelia Caragea EMNLP 2024 (Findings) arXiv / code |
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Krishna Garg*, Yingjie Li*, Cornelia Caragea ACL 2023 (Oral Presentation) arXiv / code |
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Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea ACL 2023 (Findings) (Spotlight) arXiv / code |
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Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea EMNLP 2022 (Findings) arXiv / code |
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Adobe Research, Bengaluru, India
PhD Research Intern Mentor: Sambaran Bandyopadhyay Topic: Intent-based Summarization with Graph Prompt Learning (GNN+LLM+NLP space) Patent under submission |
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Samsung Research Institute, Noida, India
AndroidOS Developer | Corporate Assistant Engineer |
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Central Public Works Department, Mussoorie, India
Software Intern |
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CS 362: Computer Design, Spring 2025, UIC CS 341: Programming Language Design and Implementation, Fall 2024, UIC [HEAD TA] CS 341: Programming Language Design and Implementation, Spring 2024, UIC CS 341: Programming Language Design and Implementation, Fall 2023, UIC CS 111: Programming Design I, Spring 2023, UIC CS 251: Data Structures, Fall 2022, UIC CS 480: Database Systems, Summers 2021, UIC CS 362: Computer Design, Spring 2021, UIC CS 341: Programming Language Design and Implementation, Spring 2020, UIC CS 476: Programming Language Design, Fall 2019, UIC CS 111: Program Design I, Legal and Public Policy Themes Section, Fall 2019, UIC CS 341: Programming Language Design and Implementation, Fall 2018, UIC |
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NMT with RNN Models: (1) in Vanilla style, (2) with Sentencepiece, (3) using Pre-trained models from FairSeq code |
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BERT-based models for classification of tweets to facilitate disaster management report / code |
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Extracting addresses from unstructured text (e.g.,restaurant blogs) using deep learning models like LSTM, BERT report / code |
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PyTorch-based project to train a classifier to recognize entities like person, geographical entity, event, location, etc. code |
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Survey paper on recent advances in Visual Dialog task report |
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Ph.D. Qualifier report on Few-Shot Learning report |
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Benchmarking optimization-based meta-learning algorithms report / code |
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Using OpenCV2 library and deep learning-based methods report / code |
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Bachelor Thesis with Prof. Virendra Singh Shekhawat at BITS Pilani |
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Recipient of Peter and Deborah Wexler Graduate Scholarship ($5000), UIC Recipient of GSC Travel Award ($500), UIC Recipient of Merit Cum Need Scholarship (25% Fee Waiver), BITS Pilani Ranked 6364/400k+, 5962/1.2m+, 13/135k+ in national entrance exams IIT-JEE, AIEEE, BITSAT |
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2022 | DPI Research Scholars Workshop: Graduate School Prep and Planning 2023 | Keyphrase Generation: Redefining Data Science with NLP Applications | CS 418: Intro to Data Science |
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Reviewer: ACL 2023, EMNLP 2023, NAACL 2024, EMNLP 2025, ACL 2025, ACL 2026 Volunteer: ACL 2023, EMNLP 2022 Program Committee Member, EMNLP Industry Track 2023 Executive Committee Member, UIC Senate, 2023-24 Member, Committee on Budget, Planning, and Priorities, UIC, 2023-24 Representative of CS Dept in Graduate Student Council, UIC, 2022-23 |
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Template taken from Jon Barron's website. |