Bülent Yener
Scholar

Bülent Yener

Google Scholar ID: 0vWWXXUAAAAJ
Professor of Computer Science, Director of Data Science Research Center RPI
Data Science & AI/MLBiomedical informaticsNetworksAlgorithmsSecurity
Citations & Impact
All-time
Citations
4,762
 
H-index
32
 
i10-index
58
 
Publications
20
 
Co-authors
55
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Named IEEE Fellow in 2015 for contributions to network design optimization and security
  • Marie Curie Fellow (2009–2010)
  • Selected publications include:
  • - 2020: 'Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition' (ICML)
  • - 2019: 'Cybersecurity in the Era of Data Science: Examining New Adversarial Models' (IEEE Security & Privacy)
  • - 2018: 'Accelerating a Distributed CPD Algorithm for Large Dense, Skewed Tensors' (IEEE BigData)
  • - 2016: 'Prediction of Growth Factor-Dependent Cleft Formation During Branching Morphogenesis Using A Dynamic Graph-Based Growth Model' (IEEE/ACM Transactions on Computational Biology)
Background
  • Professor in the Department of Computer Science and the Department of Electrical, Computer and Systems Engineering at Rensselaer Polytechnic Institute (RPI)
  • Founding Director of the Data Science Research Center at RPI
  • Research areas include: Computer Communications Networks (wireless networks, Internet, overlay networks, VPNs), Information Security and Privacy, Biomedical Informatics, Artificial Intelligence and Machine Learning, and Data Science
  • Research approach emphasizes problem modeling, data analysis, and optimization, leveraging combinatorics and machine learning to gain novel insights into traditional domains
  • Developed the 'cell-graphs' methodology for modeling structure-function relationships, widely applied in digital pathology
  • Designed cryptographic key pre-distribution systems based on combinatorial design, particularly Balanced Incomplete Block Designs (BIBD)