Luddy’s 25th Anniversary Research Symposium

Accelerating Momentum: Luddy's Impact on Healthcare and Medicine

Friday, November 7, 2025
9 a.m. – 5 p.m.
IT building at Indiana University Indianapolis

Mangilal Agarwal works with a biomedical engineering student at IU Indianapolis

Join us for a dynamic research symposium showcasing the transformative contributions of the Luddy School in revolutionizing healthcare and medical innovation. This event brings together leading researchers and students to explore cutting-edge advancements across bioinformatics, artificial intelligence, health informatics, and biomedical engineering.

Through interdisciplinary collaboration and forward-thinking research, the symposium highlights how Luddy’s work is accelerating progress in diagnostics, treatment, and healthcare delivery—driving real-world impact and shaping the future of medicine.

Research symposium schedule

Registration and breakfast (9 a.m.)

Opening and welcome (9:30 a.m.)

Joanna Millunchick
Dean, Luddy School of Informatics, Computing, and Engineering

Session 1: Bioinformatics (9:40 – 10:40 a.m.)

  • Sarath Janga: Simultaneous mapping of multiple RNA modifications at a single molecule resolution and their applications in RNA therapeutics
  • Jingwen Yan: Deep fusion of incomplete multi-omic data for molecular mechanism of Alzheimer’s disease
  • Yijie Wang: Leveraging transcription factor physical proximity for enhancing gene regulation inference
  • Xuhong Zhang: PhyloEvolve: LLM Agent-based Pipeline for Algorithm Evolution
  • Juexin Wang: Exploring spatial omics with efficient machine learning

Break and networking (10:40 – 11 a.m.)

Session 2: AI and Data Science (11 a.m. – 12:15 p.m.)

  • Mohammed Hasan: Tissue Cytometry with Machine Learning in Kidney
  • Sunandan Chakraborty: Causal-CoDe-KG: End-to-End Causal Knowledge Extraction and LLM Benchmarking for Pairwise Causal Discovery
  • Hyeju Jang: Multimodal Signals for Dementia Detection: Language, Eye-Tracking, and Facial Cues
  • Lu Zhang: Multimodal Large Language Models for the Study of Alzheimer’s Disease and Related Dementias
  • Jiangpeng He: Advancing Computer Vision for m-Health Assessment
  • Arjan Durresi: Trustworthy Causal AI in Medicine

Lunch and networking (12:15 – 1:15 p.m.)

Session 3: Health Informatics (1:15 – 2:30 p.m.)

  • Saptarshi Purkayastha: Teaching-learning infrastructures for health applications – case studies in EHR, mHealth and Radiology
  • Hee-Tae Jung: Virtual Reality: Achieving Engagement and Translation in Rehabilitation Therapies
  • Aqueasha Martin-Hammond: Designing Intelligent Tools to Support Older Adults Health and Well-being
  • Xukai Zou: Creating resilient and privacy-preserving cyberinfrastructures for health care
  • Yan Zhuang: Building interoperable health data by aligning clinical text to standards with LLMs
  • Eketerina Muraveyskai: VR + games: transforming mental health and social-emotional learning

Poster session and networking (2:30 – 3:15 p.m.)

Graduate students from the Luddy School.

Session 4: Biomedical Engineering and Infrastructures (3:15 – 4:30 p.m.)

  • Mangilal Agarwal: Transforming Healthcare: Innovations in Point-of-Care and Non-Invasive Diagnostic Technologies
  • Yao Liang: Robust Deep Learning for Image Recognition and Informatics
  • Mark Cheng: Finding Microplastic: Management of Emerging Pollutions in the Environment
  • James Glazier: Multiscale Computer Simulation of Development and Disease
  • Paul Macklin: Next-generation "virtual laboratories" for cancer immunology and digital twins
  • Rakesh Shiradkar: Artificial Intelligence driven multi-modal medical imaging biomarker discovery for precision medicine

Closing summary (4:30 p.m.)

Shiaofen Fang
Associate Dean of Research, Luddy School of Informatics, Computing, and Engineering