
معرفی
Tamer Kahveci is a Professor and Associate Chair of Academic Affairs in the Department of Computer and Information Science and Engineering at the University of Florida. He holds a Ph.D. in Computer Science from the University of California, Santa Barbara (2004). His research focuses on bioinformatics, with contributions to biological network analysis, computational genomics, and quantum computing applications in biology. His work includes developing algorithms for sequence alignment, protein structure indexing, and motif detection in complex systems.
- Affiliations: Bioinformatics Lab, University of Florida.
- Education: Ph.D. in Computer Science, UC Santa Barbara (2004).
Research Interests: Bioinformatics, computational biology, network biology, quantum computing for biological data, and systems pharmacology. His methods address challenges in genomic data analysis, drug discovery, and biological network modeling.
Publications Trends: Recent work emphasizes quantum algorithms for bioinformatics (e.g., QOMIC, ATOM), drug interaction prediction (PartialFibers), and multilayer network analysis (DANTE). Themes include integrating genomic and clinical data for disease modeling and developing scalable solutions for high-dimensional biological datasets.
- Awards: NSF Career Award (2009), ACM-BCB Honorary Best Paper (2011), BiCoB Best Paper (2018).
Service: Served as PC co-chair for ACM BCB (2012, 2017), member of ACM SIGBIO governing board, and editorial roles in journals like IEEE/ACM Transactions on Computational Biology and Bioinformatics. Active in organizing computational biology workshops and conferences.
Labs/Teams: Leads the Bioinformatics Lab, focusing on interdisciplinary projects at the intersection of computer science and life sciences.




