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)