Vasant Honavar

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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

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

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

Partner-specific prediction of RNA-binding residues in proteins: A critical assessment

Jung, Y., EL-Manzalawy, Y., Dobbs, D. & Honavar, V. G., Mar 1 2019, In: Proteins: Structure, Function and Bioinformatics. 87, 3, p. 198-211 14 p.

Research output: Contribution to journalArticlepeer-review

Personalized sleep parameters estimation from actigraphy: A machine learning approach

Khademi, A., El-Manzalawy, Y., Master, L., Buxton, O. M. & Honavar, V. G., 2019, In: Nature and Science of Sleep. 11, p. 387-399 13 p.

Research output: Contribution to journalArticlepeer-review

Welcome to the WASPI workshop

Dyer, R., Honavar, V., Leavens, G. T., Nguyen, H. A., Nguyen, T. N. & Rajan, H., Nov 9 2018, In: WASPI 2018 - Proceedings of the 1st ACM SIGSOFT International Workshop on Automated Specification Inference, Co-located with FSE 2018. p. III

Research output: Contribution to journalEditorialpeer-review

Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data 06 Biological Sciences 0604 Genetics

El-Manzalawy, Y., Hsieh, T. Y., Shivakumar, M., Kim, D. & Honavar, V., Sep 14 2018, In: BMC Medical Genomics. 11, 71.

Research output: Contribution to journalArticlepeer-review

A user similarity-based Top-N recommendation approach for mobile in-application advertising

Hu, J., Liang, J., Kuang, Y. & Honavar, V., Nov 30 2018, In: Expert Systems With Applications. 111, p. 51-60 10 p.

Research output: Contribution to journalArticlepeer-review

Template-based protein-protein docking exploiting pairwise interfacial residue restraints

Xue, L. C., Rodrigues, J. P. G. L. M., Dobbs, D., Honavar, V. & Bonvin, A. M. J. J., May 1 2017, In: Briefings in bioinformatics. 18, 3, p. 458-466 9 p.

Research output: Contribution to journalArticlepeer-review

Temporal causality analysis of sentiment change in a cancer survivor network

Bui, N., Yen, J. & Honavar, V., Jun 2016, In: IEEE Transactions on Computational Social Systems. 3, 2, p. 75-87 13 p., 7539545.

Research output: Contribution to journalArticlepeer-review