New Computer Science Faculty Bring New Perspectives

 

This semester, the Department of Computer Science at Stony Brook University is proud to welcome three new faculty members. , and joined the department as assistant research professors and are now part of a group of over 50+ core faculty. All three faculty members are strong researchers and educators, bringing expertise ranging from data mining to cancer biomarker prediction.

 

Martin Radfar earned his PhD in machine learning and computational biology from the University of Toronto in Canada. Radfar's PhD thesis was focused on developing machine learning methods to predict microRNAs target genes.  Radfar also holds a second PhD in signal processing from the Carleton-Polytechnique Universities, where his thesis was focused on target audio signal recovery from a mixture of audio signals. He is the recipient of several prestigious awards, including NSERC of Canada, Post Graduate Scholarship and Edward S. Rogers Graduate Scholarship. Before joining the Department of Computer Science at Stony Brook University, Radfar was a postdoctoral fellow at the Ontario Institute for Cancer Research (OICR). His main research at OICR involves machine learning based cancer biomarker and drug target prediction using large-scale genomic data and probabilistic graphical  models.

 

Shebuti Rayana is an alum of our department, having earned her PhD in computer science from Stony Brook in the Summer 2017. Her research focus is on ensemble and multimodal learning for anomaly mining. Rayana has worked on several research projects ranging from isolation based sequential outlier ensemble design with multi-phase aggregation (iCARE) to Identifying and integrating cues from language, behavior
and networks for online review data for spam detection.

 

 

 

 

Praveen Tripathi earned his PhD from the University of Texas at Arlington where he defended his dissertation, Techniques for Spatio-Temporal Analysis of Trajectory Data. Prior to joining Stony Brook, Tripathi was a faculty member at the University of Texas at Arlington where he taught programming. Tripathi published several peer reviewed articles including “Directional Analysis of Trajectories Based on Trajectory Smoothing”, “K-DBSCAN: Identifying Spatial Clusters with Differing Density Levels” and “Extracting Dense Regions from Hurricane Trajectory Data”. When asked about what he plans to accomplish during his time at Stony Brook, Tripathi said he looks forward to “collaborating with colleagues and continued learning.”

 

These three new faculty members are a welcome addition to the department, which is consistently ranked among the top computer science research departments in the United States.