Seung Hyun (Sally) Hahm

Seung Hyun (Sally) Hahm

B.A. Computer Science & Neuroscience @Dartmouth College. M.S. Computer Science @Dartmouth College.

About me

I’m Seung Hyun (Sally) Hahm, an M.S. student in Computer Science at Dartmouth College advised by Professor Souyoung Jin, where I study how AI can perceive and communicate the world for those who cannot see it.
My research focuses on video understanding and audio description generation for accessibility.

Research

  • Multimodal Video Understanding — develop AI systems that interpret scenes, relationships, and emotions to generate accessible audio descriptions.
  • Character Relationship Modeling — completed a High Honors Thesis under Prof. SouYoung Jin, leading to my first paper submission:

    Character Relationship Prediction in Movies: Toward Emotionally-Aware Automatic Audio Descriptions (WACV 2026, under review)

  • Ongoing Work — developing retrieval-informed video description systems to improve factual and contextual grounding in AI narration. (Details under review; to be released after publication.)

Academic Recognition

  • Graduated with High Honors.
  • Received academic citations for exceptional academic performance in Computer Vision, Deep Learning, and Multimodal Generative AI.

Work Experience

  • NextCare — Co-founded a health-data startup building blockchain-based infrastructure for privacy-preserving medical-record exchange and AI-driven health assistants.
    Focused on designing scalable systems and applying AI for accessible, trustworthy healthcare solutions.

Teaching

  • Graduate TA — COSC 76: Artificial Intelligence (Fall 2025, Prof. Soroush Vosoughi)
  • Undergraduate TA — COSC 74: Machine Learning (Spring 2025, Prof. Soroush Vosoughi)
  • Class Notes Ally — COSC 89.32: Multimodal Generative AI (Fall 2024, Prof. Yu-Wing Tai)
    – A position through Dartmouth’s Student Accessibility Services, providing course notes and adapted materials for students with documented disabilities to ensure equitable academic access.

Long-Term Vision

I aim to build AI systems that can see, describe, and act acoordingly—extending from accessible narration to embodied intelligence that supports people with disabilities.

(More information, including recent publications and projects, will be added soon.)