معرفی
Zoran Obradovic holds the prestigious L.H. Carnell Professorship of Data Analytics at Temple University where he serves as Professor in the Computer and Information Sciences Department and the Statistics Department. He also directs the Center for Data Analytics and Biomedical Informatics and maintains secondary appointments at Temple's Fox School of Business. Internationally, he serves as Research Professor at The Mathematical Institute of the Serbian Academy of Sciences and Arts, and as Visiting Professor at both the School of Medicine and School of Management at the University of Belgrade.
His research spans multiple cutting-edge domains of data science:
- Bioinformatics and protein disorder prediction
- Healthcare informatics and clinical decision support systems
- Machine learning for complex networks and big data
- Spatial and temporal data analytics
- Applications in healthcare management, social networks, and earth science
Dr. Obradovic pioneered research on intrinsically disordered proteins, earning multiple CASP awards. His work addresses challenges related to heterogeneous, spatial, and temporal data analytics with applications across healthcare, power systems, earth science, and social sciences. His research has been funded by prestigious organizations including NIH, NSF, DARPA, DOE, and industry partners.
With approximately 450 publications and an H-index of 68 (over 33,000 citations), his scholarly impact is substantial. He serves as editor-in-chief of the Big Data journal and chairs the SIAM Data Mining conference steering committee, reflecting his leadership in the field.
Scientific Recognition
- Elected Member of Academia Europaea (2015)
- Foreign Member of Serbian Academy of Sciences and Arts (2015)
- Asia-Pacific Artificial Intelligence Association Fellow (2021)
- Multiple best paper awards at international conferences
- Temple University's President's Outstanding Faculty Research Award (2009)
- Three consecutive CASP awards for protein structure prediction (2002-2006)
Dr. Obradovic has mentored approximately 50 postdoctoral fellows and Ph.D. students, many of whom now hold positions at leading academic institutions and tech companies including Amazon, Facebook, IBM, Microsoft, and Uber. He has served on editorial boards for 13 journals and organized numerous international conferences in data mining and bioinformatics.
His Center for Data Analytics and Biomedical Informatics develops advanced data science methods addressing real-world challenges in healthcare, science, engineering, and business applications, with active recruitment for Ph.D. students and postdoctoral researchers.
