About me

I am an associate professor in the Department of Computer Science at the University of Iowa. My research focuses on data mining and machine learning for healthcare and public health. I develop methods for graph learning and time-series analysis, with applications in clinical prediction, disease surveillance, and infection prevention. I am a member of the Computational Epidemiology Group.

I received my PhD in Computer Science from Virginia Tech, advised by B. Aditya Prakash, and my bachelor’s degree in Computer Engineering from Vistula University in Warsaw, Poland.

Graph machine learningNetwork scienceAI for public health

Recent news

All updates
  1. Congratulations to Akash on successfully defending his dissertation!
  2. I am thrilled to attend SDM 2026 and organize the Doctoral Forum as a co-chair.
  3. A research track paper accepted to CIKM 2026. Congratulations to Mihail and Jeff.
  4. Two research track papers accepted to KDD 2026. Congratulations to Hieu, Mihail, and Akash.
  5. Hieu is starting his internship at Meta. Good luck to him!
  6. Our paper on “Machine-learned Comorbidity Score” was accepted to ICML 2026! Congratulations to Suleman!
NSF CAREER · 2025–2030

Online Algorithms for Real-time Interventions against Healthcare Associated Infections

Selected publications

All publications
KDD 2026

Spectral Gap-Driven Coarsening for Dynamic Graph Neural Networks

Hieu Vu, Rares-Mihail Neagu and Bijaya Adhikari. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026), August 2026, Jeju, South Korea, pp. 4718–4729.

ICML 2026

A Machine-Learned Comorbidity Index

Suleman Baloch, Kishlay Jha, Alberto Maria Segre, Philip M. Polgreen, Bijaya Adhikari. International Conference on Machine Learning (ICML 2026), July 2026, Seoul, South Korea.

ICML 2025

Implicit Subgraph Neural Network

Yongjian Zhong,Liao Zhu ,Hieu Vu, and Bijaya Adhikari. International Conference on Machine Learning (ICML 2025), July 2025, Vancouver, Canada.

KDD 2024

Efficient and Effective Implicit Dynamic Graph Neural Network

Yongjian Zhong, Hieu Vu, Tianbao Yang, and Bijaya Adhikari. ACM SIGKDD Conference on knowledge Discovery and Data Mining (KDD 2024), August 2024, Barcelona, Spain.

Research support

  • NSF CAREER

    Online Algorithms for Real-time Interventions against Healthcare Associated Infections

    Sole Principal Investigator · $600,000
  • NSF Smart and Connected Health

    Shallow and Deep Personalization for Hearing Aids

    Co-Principal Investigator · $1.2M
  • NSF CyberTraining

    Inclusive Cyberinfrastructure and Machine Learning Training to Advance Water Science Research

    Site Principal Investigator · $500,000
  • NACCHO

    Emerging Infections Network — Iowa

    Co-Investigator · $375,000
Completed funding
  • UIowa OVPR Interdisciplinary Scholars Grant
    Co-Investigator · 2022–2025 · $220,000
  • UIowa OVPR Jumpstarting Tomorrow Health Disparities and Machine Learning Community Feasibility Grant
    Principal Investigator · 2021–2022 · $25,000
  • CDC MInD Healthcare Network COVID-19 Supplemental Funding
    Co-Investigator · 2020–2022 · $1.2M

Let’s connect

For research collaborations and student inquiries, reach me at
bijaya-adhikari@uiowa.edu.