Additional Campus Affiliations
George and Ann Fisher Distinguished Professor, Electrical and Computer Engineering
Professor, Electrical and Computer Engineering
Professor, Computer Science
Professor, National Center for Supercomputing Applications (NCSA)
Professor, Carl R. Woese Institute for Genomic Biology
Professor, Coordinated Science Lab
Professor, Information Trust Institute
Professor, Biomedical and Translational Sciences
Recent Publications
Iyer, R. K., Athreya, A. P., Weinshilboum, R. M., Wang, L., Bobo, W. V., & Frye, M. A. (2024). Analytics And Machine Learning Framework For Actionable Intelligence From Clinical And Omics Data. (U.S. Patent No. 11869633).
Cao, Y., Saboo, K. V., Kremen, V., Sladky, V., Gregg, N. M., Arnold, P. M., Pappu, S., Karoly, P. J., Freestone, D. R., Cook, M. J., Worrell, G. A., & Iyer, R. K. (2023). A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. In 11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2023-April). IEEE Computer Society. https://doi.org/10.1109/NER52421.2023.10123862
Cao, Y., Cao, P., Chen, H., Kochendorfer, K. M., Trotter, A. B., Galanter, W. L., Arnold, P. M., & Iyer, R. K. (2023). Predicting ICU Admissions for Hospitalized COVID-19 Patients with a Factor Graph-based Model. In Studies in Computational Intelligence (pp. 245-256). (Studies in Computational Intelligence; Vol. 1060). Springer. https://doi.org/10.1007/978-3-031-14771-5_17
Chung, K., Cao, P., Kalbarczyk, Z. T., & Iyer, R. K. (2023). StealthML: Data-driven Malware for Stealthy Data Exfiltration. In Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023 (pp. 16-21). (Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSR57506.2023.10224946
Hu, C., Iyer, R. K., Juran, B. D., McCauley, B. M., Atkinson, E. J., Eaton, J. E., Ali, A. H., & Lazaridis, K. N. (2023). Predicting cholangiocarcinoma in primary sclerosing cholangitis: using artificial intelligence, clinical and laboratory data. BMC Gastroenterology, 23(1), Article 129. https://doi.org/10.1186/s12876-023-02759-7