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 journal › Conference article › peer-review
Can machine learning predict late seizures after intracerebral hemorrhages? Evidence from real-world data
Lekoubou, A., Petucci, J., Femi Ajala, T., Katoch, A., Hong, J., Sen, S., Bonilha, L., Chinchilli, V. M. & Honavar, V., Aug 2024, In: Epilepsy and Behavior. 157, 109835.Research output: Contribution to journal › Article › peer-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 journal › Conference article › peer-review
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
Ren, W., Li, X., Chen, H., Rakesh, V., Wang, Z., Das, M. & Honavar, V., 2024, In: Proceedings of Machine Learning Research. 235, p. 42417-42427 11 p.Research output: Contribution to journal › Conference article › peer-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 journal › Comment/debate › peer-review
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
Xiao, T., Zhu, H., Zhang, Z., Guo, Z., Aggarwal, C. C., Wang, S. & Honavar, V. G., 2024, In: Proceedings of Machine Learning Research. 235, p. 54363-54381 19 p.Research output: Contribution to journal › Conference article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Review article › peer-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 journal › Article › peer-review