Pratinav Seth

Pratinav Seth

Aspiring AI Researcher

Hi there! Welcome to my little corner of the web!

I’m Pratinav Seth, an AI enthusiast with a focus on Computer Vision, Natural Language Processing (NLP), and Deep Learning.

My core interest lies in leveraging Deep Learning across various domains such as Healthcare and Remote Sensing. I’m particularly passionate about building Resource-Efficient Models and incorporating Domain Knowledge to address specific problems. I am also keen on problems involving the Trustworthiness of AI Foundation Models, with a strong focus on Model Explainability and Quantifying Uncertainty to create safer AI systems. Additionally, I’m have worked on applying AI for Social Good, tackling global challenges like Climate Change and improving Medical Diagnoses.

I’m always eager to learn from others and explore new ideas in this fascinating field. There is so much more to discover and many brilliant minds pushing the boundaries of what’s possible with AI. Feel free to reach out – I’m always up for a conversation about AI, research, or even just to say hi!

I recently graduated with a degree in Data Science from the Manipal Institute of Technology. My academic journey was enriched through experiences at renowned institutions like:

  • Mila Quebec AI Institute: Worked with Domain Experts to detect orphaned oil wells.
  • Bosch Research India: Contributed to controlled data generation using Generative Models for enhancing autonomous driving systems.
  • KLIV Lab, IIT Kharagpur: Explored the integration of domain knowledge in neural networks for medical image analysis and investigated the explainability of modern deep neural networks.

During my studies, I actively participated in student organizations that shaped my path in ai research:

  • As Co-President of the Research Society MIT Manipal, an undergraduate organization with 90+ members across 10+ technical domains. Led multidisciplinary collaboration, recruited new members, and guided their learning and development. (2022-23)
  • As a Researcher with Mars Rover Manipal, Advanced from Student Trainee to Senior Researcher, leading AI projects in machine learning, computer vision, and NLP, resulting in multiple publications. Mentored more than 10 undergraduates, with many publications in NeurIPS, ACL, AAAI and CVPR.(2020-23)
  • I co-founded The Data Alchemists, an initiative aimed at fostering interest in AI and data science among students.(2022-23)

(PS : Open to AI Research and Research collaborations) (WEBSITE UNDER CONSTRUCTION)

🔥 News

  • 2024.08:   Reviewer at NLP for Positive Impact Workshop, EMNLP 2024
  • 2024.07:  🎉 Started as a Research Scientist at Arya.ai working on XAI and Interpretable AI for Regutable ML!
  • 2024.07:   Reviewer at FAIMI Workshop, MICCAI 2024
  • 2024.06:  🎉 AgriLLM accepted to KDD UC-24!
  • 2024.05:   Reviewer at ECCV 2024: May 2024
  • 2024.02:  🎉 Sailing Through Spectra accepted to ICLR Tiny Papers!
  • 2024.01:  🎉🎉 Started my Internship (as a part of my Bachelor Thesis) at Mila Quebec AI Institute (Remotely).
  • 2023.12:  🎉🎉 Does the Fairness of Your Pre-Training Hold Up? accepted to WACV Pretrain Workshop as Oral!

📝 Publications

CVPR Workshop 2023
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CoReFusion: Contrastive Regularized Fusion for Guided Thermal Super-Resolution

Aditya Kasliwal, Pratinav Seth, Sriya Rallabandi, Sanchit Singhal

Citations

AAAI Student Abstract 2023
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LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)

Aditya Kasliwal, Aryan Kamani, Ishaan Gakhar, Pratinav Seth, Sriya Rallabandi

Citations

KDD UC 2024
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AgriLLM: Harnessing transformers for farmer queries.

Krish Didwania (†), Pratinav Seth (†), Aditya Kasliwal, Amit Agarwal

Citations

WACV Workshop 2024
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Does the Fairness of Your Pre-Training Hold Up? Examining the Influence of Pre-Training Techniques on Skin Tone Bias in Skin Lesion Classification

Pratinav Seth, Abhilash K Pai

Citations

💻 Past Experiences

🎖 Honors and Awards

  • 2023.02 One of the 11 Undergraduates Selected as an AAAI Undergraduate Consortium Scholar 2023. Included a Travel Grant of $2000 to present at AAAI-23 at Washington DC, USA.
  • 2023.01 Received MAHE Undergraduate Research Grant Worth 10K INR for Project : Explainable & Trustworthy Skin Lesion Classification under Dr. Abhilash K. Pai, Dept. of DSCA, Manipal Institute of Technology, MAHE.

📖 Educations

  • 2020.10 - 2024.07, Bachelors of Technology in Data Science & Engineering (B.Tech), Manipal Academy of Higher Education, Manipal, Karnataka, India.

💬 Invited Talks

  • 2024.03, Introduction to Research, at ACM-W Manipal Chapter.
  • 2024.02, Data Dialogue invited by The Data Alchemists, The Official Data Science Club of MIT Manipal. | [link]
  • 2023.03, Research as Undergrad, at ACM-W Manipal Chapter.