Publications

Data-Driven Near-Optimal Regional Epidemic Surveillance

Rares-Mihail Neagu, Jeffrey Keithley, Xin Zan, Sriram Pemmaraju, and Bijaya Adhikari. ACM International Conference on Information and Knowledge Management (CIKM 2026), November 2026, Rome, Italy.

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.

Learning Robust Hypergraph Embeddings for Distribution-Free Uncertainty Quantification

Akash Choudhuri and Bijaya Adhikari. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026), August 2026, Jeju, South Korea, pp. 663–674.

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.

Linking Attentional Modulation to Auditory Attention Decoding: Using Colocated Stimuli With a Fixed Temporal Structure

Jusung Ham, Ian Pope, Jinhee Kim, Hwan Shim, Bijaya Adhikari, Yu-Hsiang Wu, Kyogu Lee, Barbara G. Shinn-Cunningham, Octav Chipara, Inyong Choi. Trends in Hearing, 30, 23312165261442999, 2026.

Shailesh Dahal, Ratri Mukherjee, Nicholas Mathews, Bijaya Adhikari and Kishlay Jha. Journal of Healthcare Informatics Research, 10, pp. 710–730, 2026. Presented at ICHI 2026.

End-to-End EEG-Based Auditory Attention Decoding for Cochlear Implant Users

Ian Pope, Jusung Ham, Inyong Choi, Yu-Hsiang Wu, Bijaya Adhikari and Octav Chipara. IEEE International Conference on Healthcare Informatics (ICHI 2026), June 2026, Minneapolis, Minnesota, US, pp. 214–223.

Jeffrey Keithley, Tinh Tran, Lucas Zach-Ryan, D. M. Hasibul Hasan, Brodie McCuen, Sriram V. Pemmaraju, and Bijaya Adhikari. International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), May 2026, Paphos, Cyprus, pp. 2500–2508.

Implicit Hypergraph Neural Network

Akash Choudhuri, Yongjian Zhong, and Bijaya Adhikari. IEEE International Conference on Big Data (Big Data 2025), December 2025, Macau, China.

Analyzing Greedy Vaccine Allocation Algorithms for Metapopulation Disease Models

Jeffrey Keithley, Akash Choudhuri, Bijaya Adhikari, and Sriram Pemmaraju. PLoS Computational Biology, 2025.

TempoBiGen: A Curated Generative Model for Healthcare Mobility Logs with Visit Duration

Hieu Vu, Alberto M. Segre, and Bijaya Adhikari. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2025), September 2025, Porto, Portugal.

Contact Observations from an Intensive Care Unit

Hieu Vu, Roger Struble, Philip M. Polgreen, Bijaya Adhikari, and Ted Herman. Nature Scientific Data.

Implicit Subgraph Neural Network

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

Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction

Akash Choudhuri, Hieu Vu, Kishlay Jha and Bijaya Adhikari. SIAM International Conference on Data Mining (SDM 2025), May 2025, Alexandria, Virginia, U.S.

Conformal Edge-Weight Prediction in Latent Space

Akash Choudhuri, Yongjian Zhong, Mehrdad Moharrami, Christine Klymko, Mark Heimann, Jayaraman Thiagarajan and Bijaya Adhikari. SIAM International Conference on Data Mining (SDM 2025), May 2025, Alexandria, Virginia, U.S.

Accurately Estimating Unreported Infections using Information Theory

Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A S M Ahsan-Ul Haque, Jilles Vreeken, Anil Vullikanti and B. Aditya Prakash. SIAM International Conference on Data Mining (SDM 2025), May 2025, Alexandria, Virginia, U.S.

Summarizing Clinical Notes using LLMs for ICU Bounceback and Length-of-Stay Prediction

Akash Choudhuri, Philip M. Polgreen, Alberto M. Segre and Bijaya Adhikari. IEEE ICDM workshop on Data Mining in Biomedical Informatics and Healthcare (DMBIH 2024), December 2024, Abu Dhabi, UAE.

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.

Hospitalizations Among Family Members Increase the Risk of MRSA Infection in a Household

Aaron Miller, Alan Arakkal, Daniel Sewell, Alberto M. Segre, Bijaya Adhikari, and Philip M. Polgreen. Infection Control and Epidemiology.

End-to-End Risk-aware Reinforcement Learning to Detect Asymptomatic Cases in Healthcare Facilities

Yongjian Zhong, Weiyu Huang and Bijaya Adhikari. IEEE International Conference on Healthcare Informatics (ICHI 2024), June 2024, Orlando, FL .

Learning to Rank Complex Biomedical Hypotheses for Accelerating Scientific Discovery

Juncheng Ding, Shailesh Dahal, Bijaya Adhikari and Kishlay Jha. IEEE International Conference on Healthcare Informatics (ICHI 2024), June 2024, Orlando, FL .

Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications

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.

CAD2GRAPH: Automated Extraction of Spatial Graphs from Architectural Drawings

Pratik Maitra, Masahiro Kiji, Talal Riaz, Philip M. Polgreen, Alberto M. Segre, Sriram Pemmaraju and Bijaya Adhikari. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2023), September 2023, Torino, Italy.

Challenges in Forecasting Antimicrobial Resistance

Sen Pei, Seth Blumberg, Jaime Cascante Vega, Tal Robin, Yue Zhang, Richard J. Medford,Bijaya Adhikari, and Jeffrey Shaman. Emerging Infectious Diseases, 2023.

Detecting Sources of Healthcare Associated Infections

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

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

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.

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.

Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases

Hankyu Jang, Shreyas Pai, Bijaya Adhikari, and Sriram V. Pemmaraju. Knowledge and Information System (KAIS 2022), Sep 2022.

Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

with Estee Y Cramer, Evan L Ray et. al. Proceedings of the National Academy of Sciences (PNAS 2022), April 2022.

Hankyu Jang, Shreyas Pai, Bijaya Adhikari, and Sriram V. Pemmaraju. IEEE International Conference on Data Mining. (ICDM 2021), Nov 2021, Virtual.

Modeling and Evaluation of Clustering Patient Care into Bubbles

D. M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip Polgreen, Daniel Sewell, Bijaya Adhikari and Sriram Pemmaraju. IEEE International Conference of Healthcare Informatics. (ICHI 2021), Aug 2021, Virtual.

Finding Needles in Heterogeneous Haystacks

Bijaya Adhikari, Liangyue Li, Nikhil Rao and Karthik Subbian. Annual Conference on Innovative Applications of Artifical Intelligence (IAAI 2021), Feb 2021, Virtual.

DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting

Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari and B. Aditya Prakash. Annual Conference on Innovative Applications of Artifical Intelligence (IAAI 2021), Feb 2021, Virtual.

Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19

Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan and B. Aditya Prakash. AAAI Conference on AI (AAAI 2021), Feb 2021, Virtual. [* also published in NuerIPS 2020 MLPH workshop]

NetReAct: Interactive Learning for Network Summarization

Sorour E. Amiri, Bijaya Adhikari, John Wenskovitch, Alexander Rodriguez, Michelle Dowling, Chris North, and B. Aditya Prakash. NeurIPS 2020 Human and Model in the Loop Evaluation and Training Strategies (HAMLETS) Workshop, December 2020, Virtual.

Mapping Network States using Connectivity Queries

Alexander Rodriguez, Bijaya Adhikari, Andres Gonzalez, Charles Nicholson, Anil Vullikanti, and B. Aditya Prakash IEEE International Conference on BigData (BigData 2020), December 2020, Virtual. [* also published in NeurIPS 2020 AI+HADR workshop]

Incorporating Expert Guidance in Epidemic Forecasting

Alexander Rodriguez, Bijaya Adhikari, Naren Ramakrishnan, and B. Aditya Prakash. SIGKDD Epidemilogy meets Data Mining and Knowledge Discovery workshop (epidDAMIK 3.0), San Diego, 2020.

Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, and Anil Vullikanti International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), May 2020, Auckland, New Zealand.

Bijaya Adhikari, Bryan Lewis, Anil Vullikanti, Jose Mauricio Jimenez, and B. Aditya Prakash PLoS Computational Biology, 2019.

EpiDeep: Exploiting Embeddings for Influenza Forecasting

Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan and B. Aditya Prakash ACM SIGKDD Conference on knowledge Discovery and Data Mining (KDD 2019), August 2019, Anchorage, Alaska.

NetGist: Learning to generate task-based network summaries

Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, and B. Aditya Prakash IEEE International Conference on Data Mining (ICDM 2018), November 2018, Singapore.

DeepDiffuse: Predicting the ‘Who’ and ‘When’ in Cascades

Mohammad R Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, and Naren Ramakrishnan IEEE International Conference on Data Mining (ICDM 2018), November 2018, Singapore

Sub2Vec: Feature Learning for Subgraphs

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, and B. Aditya Prakash Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), June 2018, Melbourne, Australia

Mining E-Commerce Query Relations using Customer Interaction Networks

Bijaya Adhikari, Parikshit Sondhi, Wenke Zhang, Mohit Sharma, and B. Aditya Prakash The Web Conference (WWW 2018), April 2018, Lyon, France

Near-optimal Mapping of Network States using Probes

Bijaya Adhikari, Pavan Rangudu, B. Aditya Prakash, and Anil Vullikanti SIAM International Conference on Data Mining (SDM 2018), May 2018, San Diego, USA

Propagation based Temporal Network Summarization

Bijaya Adhikari, Yao Zhang, Sorour E. Amiri, Aditya Bharadwaj, and B. Aditya Prakash in IEEE Transactions on Knowledge and Data Engineering (TKDE 2018)

Distributed Representations of Subgraphs

Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan, and B. Aditya Prakash. IEEE ICDM Workshop on Data Mining in Networks (DaMNet 2017), November 2017, New Orleans, USA, pp. 111–117.

Using Partial Probes to Infer Network States

Pavan Rangudu, Bijaya Adhikari, B. Aditya Prakash, and Anil Vullikanti. ACM SIGKDD Mining and Learning with Graphs Workshop (MLG 2017), August 2017, Halifax, Nova Scotia, Canada.

MeiKe: Influence-based Communities in Networks

Yao Zhang, Bijaya Adhikari, Steve Jan, and B. Aditya Prakash SIAM International Conference on Data Mining (SDM 2017), April 2017, Houston, USA

Condensing Temporal Networks using Propagation

Bijaya Adhikari, Yao Zhang, Aditya Bharadwaj, and B. Aditya Prakash SIAM International Conference on Data Mining (SDM 2017), April 2017, Houston, USA

Analysis of MultiLayer Neural Networks with Direct and Cross Forward Connection

Stanislaw Placzek and Bijaya Adhikari Fundamenta Informaticae 133.2-3 (2014)

Coordination Algorithm in Hierarchical Structure of the Learning Process of Artificial Neural Network

Stanislaw Placzek and Bijaya Adhikari CS&P 2014