Research interests

My research interest lies in data mining and machine learning, with a focus on dynamical processes (e.g. spread of misinformation, diseases, failures) on large networks (e.g. web, population contact networks, critical infrastructures). My recent work include AI for influenza forecasting, e-commerce search and fraud detection, outbreak detection in hospitals, network embedding, community detection, and network summarization.

As a member of the Computational Epidemiology Group, I primarily investigate problems motivated by public health such as propagation of diseases via contact network, forecasting outbreaks of infectious diseases, and designing optimal surveillance systems.

Research interests (keywords)

Graph Mining; Computational Epidemiology; Machine Learning

Selected publications

• Efficient and Effective Implicit Dynamic Graph Neural Network [PDF][CODE][SLIDES] Yongjian Zhong, Hieu Vu, Tianbao Yang, and Bijaya Adhikari. ACM SIGKDD Conference on knowledge Discovery and Data Mining (KDD 2024), August 2024, Barcelona, Spain
• End-to-End Risk-aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities [PDF][CODE][SLIDES] Yongjian Zhong, Weiyu Huang and Bijaya Adhikari. IEEE International Conference on Healthcare Informatics (ICHI 2024), June 2024, Orlando, FL
• Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications [PDF][CODE][SLIDES] Akash Choudhuri, Hankyu Jang, Alberto M. Segre, Philip M. Polgreen, Kishlay Jha and Bijaya Adhikari. ACM International Conference on Information and Knowledge Management (CIKM 2023), October 2023, Birmingham, UK
• Detecting Sources of Healthcare Associated Infections [PDF] [CODE] [SLIDES] Hangkyu Jang, Andrew Fu, Jiaming Cui, Methun Kamruzzaman, B. Aditya Prakash, Anil Vullikanti, Bijaya Adhikari and Sriram Pemmaraju. AAAI Conference on Artificial Intelligence. (AAAI 2023). Feb 2023, Washinton, DC
• EINNs: Epidemiologically-Informed Neural Networks [PDF] Alexander Rodriguez, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari and B. Aditya Prakash. AAAI Conference on Artificial Intelligence. (AAAI 2023). Feb 2023, Washinton, DC
• Near-Optimal Spectral Disease Mitigation in Healthcare Facilities. [PDF] [CODE][SLIDES] Masahiro Kiji, D.M. Hasibul Hasan, Alberto M. Segre, Sriram Pemmaraju, and Bijaya Adhikari. IEEE International Conference on Data Mining, 2022. (ICDM 2022), Nov 2022, Orlando, FL
• Dynamic Healthcare Embeddings for Improving Patient Care. [PDF] [CODE][SLIDES] Hankyu Jang, Sulyun Lee, D. M. Hasibul Hasan, Philip M. Polgreen, Sriram V. Pemmaraju and Bijaya Adhikari. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. (ASONAM 2022), Nov 2022, Istanbul, Turkey