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.
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.
Online Algorithms for Real-time Interventions against Healthcare Associated Infections
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.
Suleman Baloch, Kishlay Jha, Alberto Maria Segre, Philip M. Polgreen, Bijaya Adhikari. International Conference on Machine Learning (ICML 2026), July 2026, Seoul, South Korea.
Yongjian Zhong,Liao Zhu ,Hieu Vu, and Bijaya Adhikari. International Conference on Machine Learning (ICML 2025), July 2025, Vancouver, Canada.
Yongjian Zhong, Hieu Vu, Tianbao Yang, and Bijaya Adhikari. ACM SIGKDD Conference on knowledge Discovery and Data Mining (KDD 2024), August 2024, Barcelona, Spain.
Online Algorithms for Real-time Interventions against Healthcare Associated Infections
Sole Principal Investigator · $600,000Shallow and Deep Personalization for Hearing Aids
Co-Principal Investigator · $1.2MInclusive Cyberinfrastructure and Machine Learning Training to Advance Water Science Research
Site Principal Investigator · $500,000Emerging Infections Network — Iowa
Co-Investigator · $375,000For research collaborations and student inquiries, reach me at
bijaya-adhikari@uiowa.edu.