Biography
Zoran Obradovic is L.H. Carnell Professor of Data Analytics at Temple University, Professor in the Department of Computer and Information Sciences with a secondary appointment in Statistics, and is the Director of the Center for Data Analytics and Biomedical Informatics. He is an Academician at the Academia Europaea (link is external) (the Academy of Europe) and a Foreign Academician at the Serbian Academy of Sciences and Arts (link is external). He is the executive editor at the journal on Statistical Analysis and Data Mining, which is the official publication of the American Statistical Association and is an editorial board member at eleven journals. He was the chair at the SIAM Activity Group on Data Mining and Analytics for 2014 and 2015 years, was co-chair for 2013 and 2014 SIAM International Conference on Data Mining and was the program or track chair at many data mining and biomedical informatics conferences. His work is published in more than 300 articles and is cited more than 15,000 times (H-index 48).
Research interests: Data mining, Biomedical informatics
Courses Taught
Number | Name | Level |
|---|---|---|
CIS 4523 | Knowledge Discovery and Data Mining | Undergraduate |
CIS 4524 | Analysis and Modeling of Social and Information Networks | Undergraduate |
CIS 5523 | Knowledge Discovery and Data Mining | Graduate |
CIS 5524 | Analysis and Modeling of Social and Information Networks | Graduate |
Selected Publications
Recent
Zhao, B., Katuwawala, A., Oldfield, C.J., Dunker, A.K., Faraggi, E., Gsponer, J., Kloczkowski, A., Malhis, N., Mirdita, M., Obradovic, Z., Söding, J., Steinegger, M., Zhou, Y., & Kurgan, L. (2021). DescribePROT: database of amino acid-level protein structure and function predictions. Nucleic Acids Res, 49(D1), D298-D308. England. 10.1093/nar/gkaa931
Alshehri, J., Stanojevic, M., Dragut, E., & Obradovic, Z. (2021). Stay on Topic, Please: Aligning User Comments to the Content of a News Article. In doi: 10.1007/978-3-030-72113-8_1.
Ljubic, B., Pavlovski, M., Roychoudhury, S., Neste, C.V., Salhi, A., Essack, M., Bajic, V., & Obradovic, Z. (2021). Genes and comorbidities of thyroid cancer. Informatics in Medicine Unlocked, 25. doi: 10.1016/j.imu.2021.100680.
Hai, A., Dokic, T., Pavlovski, M., Mohamed, T., Saranovic, D., Alqudah, M., Kezunovic, M., & Obradovic, Z. (2021). Transfer Learning for Event Detection from PMU Measurements with Scarce Labels. IEEE Access, 9, 127420-127432. doi: 10.1109/ACCESS.2021.3111727.
Saranovic, D., Pavlovski, M., Power, W., Stojkovic, I., & Obradovic, Z. (2021). Interception of automated adversarial drone swarms in partially observed environments. Integrated Computer-Aided Engineering, 28(4), 335-348. doi: 10.3233/ICA-210653.
Pavlovski, M., Alqudah, M., Dokic, T., Hai, A., Kezunovic, M., & Obradovic, Z. (2021). Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements. IEEE Transactions on Instrumentation and Measurement, 70. doi: 10.1109/TIM.2021.3115583.
Kezunovic, M., Pinson, P., Obradovic, Z., Grijalva, S., Hong, T., & Bessa, R. (2020). Big data analytics for future electricity grids. Electric Power Systems Research, 189. doi: 10.1016/j.epsr.2020.106788.
Ljubic, B., Roychoudhury, S., Cao, X.H., Pavlovski, M., Obradovic, S., Nair, R., Glass, L., & Obradovic, Z. (2020). Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction. Comput Methods Programs Biomed, 197, 105765. Ireland. 10.1016/j.cmpb.2020.105765
Ljubic, B., Hai, A.A., Stanojevic, M., Diaz, W., Polimac, D., Pavlovski, M., & Obradovic, Z. (2020). Predicting complications of diabetes mellitus using advanced machine learning algorithms. J Am Med Inform Assoc, 27(9), 1343-1351. England. 10.1093/jamia/ocaa120
Asadi, N., Wang, Y., Olson, I., & Obradovic, Z. (2020). A heuristic information cluster search approach for precise functional brain mapping. Hum Brain Mapp, 41(9), 2263-2280. United States. 10.1002/hbm.24944
Zhou, F., Gillespie, A., Gligorijevic, D., Gligorijevic, J., & Obradovic, Z. (2020). Use of disease embedding technique to predict the risk of progression to end-stage renal disease. J Biomed Inform, 105, 103409. United States. 10.1016/j.jbi.2020.103409
Gillespie, A., Gardiner, H.M., Fink, E.L., Reese, P.P., Gadegbeku, C.A., & Obradovic, Z. (2020). Does Sex, Race, and the Size of a Kidney Transplant Candidate's Social Network Affect the Number of Living Donor Requests? A Multi-Center Social Network Analysis of Patients on the Kidney Transplant Waitlist. Transplantation. United States. 10.1097/TP.0000000000003167
Ljubic, B., Pavlovski, M., Alshehri, J., Roychoudhury, S., Bajic, V., Neste, C.V., & Obradovic, Z. (2020). Comorbidity network analysis and genetics of colorectal cancer. Informatics in Medicine Unlocked, 21. doi: 10.1016/j.imu.2020.100492.
He, L., Han, C., Mukherjee, A., Obradovic, Z., & Dragut, E. (2020). On the dynamics of user engagement in news comment media. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(1). doi: 10.1002/widm.1342.