Vasant Honavar

Affiliate Researcher
Titles and Affiliations
Professor and Edward Frymoyer Chair of Information Sciences and Technology, College of Information Sciences and Technology

Research Summary

My current research is focused on the development of algorithms for building predictive and causal models from large amounts of heterogeneous, high dimensional, spatial, temporal, multi-scale data and the application of the resulting tools in predicting health risks and health outcomes using combinations of clinical, genomic, behavioral, environmental, and socio-demographic data, modeling complex interactions between food, energy, and water systems, and people.

In the News

Research Keywords

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Recent Publications

Causal Matching using Random Hyperplane Tessellations

Dalvi, A., Ashtekar, N. & Honavar, V., 2024, In: Proceedings of Machine Learning Research. 236, p. 688-702 15 p.

Research output: Contribution to journalConference articlepeer-review

Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data

Liang, J., Ren, W., Sahar, H. & Honavar, V., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 12, p. 13736-13743 8 p.

Research output: Contribution to journalConference articlepeer-review

Corrigendum to “Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing” [Sleep Health 9 (2023) 596-610, (S2352721823001341), (10.1016/j.sleh.2023.07.001)]

Roberts, D. M., Schade, M. M., Master, L., Honavar, V. G., Nahmod, N. G., Chang, A. M., Gartenberg, D. & Buxton, O. M., 2024, (Accepted/In press) In: Sleep health. 10, 2, p. 255-260 6 p.

Research output: Contribution to journalComment/debatepeer-review

Forecasting User Interests Through Topic Tag Predictions in Online Health Communities

Adishesha, A. S., Jakielaszek, L., Azhar, F., Zhang, P., Honavar, V., Ma, F., Belani, C., Mitra, P. & Huang, S. X., Jul 1 2023, In: IEEE Journal of Biomedical and Health Informatics. 27, 7, p. 3645-3656 12 p.

Research output: Contribution to journalArticlepeer-review

MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein–Protein Docking Conformations

Jung, Y., Geng, C., Bonvin, A. M. J. J., Xue, L. C. & Honavar, V. G., Jan 2023, In: Biomolecules. 13, 1, 121.

Research output: Contribution to journalArticlepeer-review

Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing

Roberts, D. M., Schade, M. M., Master, L., Honavar, V. G., Nahmod, N. G., Chang, A-M., Gartenberg, D. & Buxton, O. M., Aug 10 2023, (E-pub ahead of print) In: Sleep health.

Research output: Contribution to journalArticlepeer-review

Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics

Cwiek, A., Rajtmajer, S. M., Wyble, B., Honavar, V., Grossner, E. & Hillary, F. G., Feb 1 2022, In: Network Neuroscience. 6, 1, p. 29-48 20 p.

Research output: Contribution to journalArticlepeer-review

Detecting and Interpreting Changes in Scanning Behavior in Large Network Telescopes

Kallitsis, M., Prajapati, R., Honavar, V., Wu, D. & Yen, J., 2022, In: IEEE Transactions on Information Forensics and Security. 17, p. 3611-3625 15 p.

Research output: Contribution to journalArticlepeer-review

Connected in health: Place-to-place commuting networks and COVID-19 spillovers

Seto, C. H., Graif, C., Khademi, A., Honavar, V. G. & Kelling, C. E., Sep 2022, In: Health and Place. 77, 102891.

Research output: Contribution to journalArticlepeer-review

IScore: A novel graph kernel-based function for scoring protein-protein docking models

Geng, C., Jung, Y., Renaud, N., Honavar, V., Bonvin, A. M. J. J. & Xue, L. C., Jan 1 2020, In: Bioinformatics. 36, 1, p. 112-121 10 p.

Research output: Contribution to journalArticlepeer-review

Two-dimensional hybrid organic-inorganic perovskites as emergent ferroelectric materials

Hou, Y., Wu, C., Yang, D., Ye, T., Honavar, V. G., Van Duin, A. C. T., Wang, K. & Priya, S., Aug 14 2020, In: Journal of Applied Physics. 128, 6, 060906.

Research output: Contribution to journalReview articlepeer-review

The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research

Parashar, M., Simonet, A., Rodero, I., Ghahramani, F., Agnew, G., Jantz, R. & Honavar, V., May 1 2020, In: Computing in Science and Engineering. 22, 3, p. 79-92 14 p., 8686134.

Research output: Contribution to journalArticlepeer-review

iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines

Renaud, N., Jung, Y., Honavar, V., Geng, C., Bonvin, A. M. J. J. & Xue, L. C., Jan 1 2020, In: SoftwareX. 11, 100462.

Research output: Contribution to journalArticlepeer-review

Biomarker discovery in inflammatory bowel diseases using network-based feature selection

Abbas, M., Matta, J., Le, T., Bensmail, H., Obafemi-Ajayi, T., Honavar, V. & EL-Manzalawy, Y., Nov 1 2019, In: PloS one. 14, 11, e0225382.

Research output: Contribution to journalArticlepeer-review

Machine learning in clinical care: Quo vadis?

Honavar, V., Jul 2019, In: Indian Journal of Ophthalmology. 67, 7, p. 985-986 2 p.

Research output: Contribution to journalEditorialpeer-review