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Utathya Aich

Utathya Aich

Software Developer – ML  ·  CNH Industrial, Gurgaon  ·  Independent Researcher

I work at the intersections of multimodal learning, clinical AI, and language reasoning. My research focuses on systems that fuse vision, text, and structured knowledge — with an emphasis on reliability, hallucination mitigation, and deployment under limited supervision. I collaborate with researchers at Jadavpur University, University of Liverpool, IIIT Bangalore, ISI Kolkata, University of South Carolina, University of Calcutta, and IBISC Lab at University of Evry Paris-Saclay, France.

Prospective PhD Student (Winter 2026 / Fall 2027 Intake)  ·  Looking for research opportunities in multimodal AI, clinical AI, and language reasoning.

Open for Collaboration  ·  Happy to collaborate on high-impact projects, papers, and challenge benchmarks.

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Research Statement

My research addresses a central challenge in AI deployment: building systems that are reliable, grounded, and interpretable when operating across heterogeneous data modalities. I am particularly interested in how vision, language, and structured knowledge can be jointly leveraged to solve high-stakes problems in clinical AI and document intelligence.

A recurring theme in my work is low-supervision learning — designing models that remain effective when labeled data is scarce or expensive. I explore this through semi-supervised encoders, retrieval-augmented generation, and knowledge-graph reasoning pipelines that reduce dependence on large annotated datasets.

Going forward, I aim to deepen my focus on hallucination mitigation in multi-agent LLM systems and extend my clinical AI work to longitudinal patient data, bridging the gap between AI research and real-world medical deployment.

Research Interests

Multimodal Learning Vision–Language Models Clinical AI Retrieval-Augmented Generation Hallucination Mitigation Medical Image Segmentation Document Intelligence Knowledge Graphs Efficient Fine-Tuning Semi-Supervised Learning EEG & Neurological AI

Publications by Year

Network

The people I’ve worked with and learned from. Each photo links to their LinkedIn.

Mentors

  • UB

    Prof. Ujjwal Bhattacharya

    Indian Statistical Institute, Kolkata

    Mentor · co-author, LiFGANet (ICPR 2026)

  • TS

    Prof. Tulika Saha

    IIIT Bangalore & University of Liverpool

    Mentor · co-author, HiLEx (ICDAR 2025)

  • SG

    Dr. Swarnendu Ghosh

    Marie Curie Postdoctoral Fellow, University of Ljubljana

    Mentor · co-author, TEMPO (EMNLP 2026)

Collaborators

Collaborator list coming soon.

Mentees

  • RR

    Ritwika Roy

    Mentee · co-author, DRASU-Net (MIUA 2025) & FSTS-Net (SIPAIM 2025)

  • DM

    Debjyoti Mandal

    Mentee · co-author, Who Remembers What? (IJCNLP-AACL 2025)

Academic Services

Awards

Hobbies