I am an Assistant Professor in the Computer Engineering department at San José State University. In 2016, I received my Ph.D. in computer science from the University of Minnesota. My advisor was George Karypis. In 2011, I received my M.S. in computer science from Texas State University, under the guidance of Byron J. Gao.
My research interests fall broadly at the intersection of data mining, high performance computing, information retrieval, and machine learning. Much of my work has been focused on scalable and efficient methods for analyzing sparse data. I have developed serial and parallel methods for identifying near neighbors, methods for characterizing how user behavior changes over time, and methods for personalized and collaborative presentation of Web search results. Future research directions of interest include:
- Knowledge discovery from Sparse Big Data.
- Scalable quantitative methods for Data Mining.
- Deep Learning analysis of dynamic information networks.
- Personalized course pathway recommendation.
- Machine Learning models for Autism Spectrum detection.
- Optimal emergency wireless network modeling in a smart city.
- Aug 5, 2017 Our lab placed second with regards to prediction mean Average Precision across all datasets in Track 1 (detection, localization, and classification) of the NVIDIA AI City Challenge. The summer-long event, which I helped organize, drew submissions from 29 international teams from many renowned universities, who competed in developing prediction models and applications for analyzing traffic camera video footage. More details here.
- Aug 2, 2017 Our paper titled Efficient identification of Tanimoto nearest neighbors; All-pairs similarity search using the extended Jaccard coefficient has been published in the International Journal of Data Science and Analytics.
- May 26, 2017 My student Alex Richards and I received an Undergraduate Research Grant from San José State University.
- May 11, 2017 Our paper titled Optimal Constrained Wireless Emergency Network Antenna Placement has been accepted to be presented at IEEE SCI 2017, in the San Francisco Bay Area, CA.
- Apr 22, 2017 Received a grant from the College of Engineering Excellence Research Center on Smart Technology, Computing, and Complex System (STCCS) at San José State University.
- Apr 12, 2017 The HPC@Engineering project I am leading (building a small HPC cluster for the College of Engineering at SJSU) has reached a huge milestone! The project has been approved, funds allocated, and, after meeting with 5 potential vendors for two months to fine-tune proposals, we have chosen Dell as our official vendor. We should have the cluster in late August.
- Feb 15, 2017 Our paper titled Cosine Approximate Nearest Neighbors has been accepted to be presented at iDSC, in Salzburg, Austria.
- Feb 8, 2017 Gave a talk at Lawrence Livermore National Laboratory on Efficient neighborhood graph construction for sparse high dimensional data.
- Feb 2, 2017 NVIDIA Corporation graciously donated two GeForce Titan X Pascal GPU cards to be used for parallel computing research in our lab.
- Nov 14, 2016. Participated in the Early Career Workshop at SC'16.
- Nov 13, 2016. Presented our work on Fast Parallel Cosine K-Nearest Neighbor Graph Construction at the Irregular Applications: Architectures and Algorithms workshop, which was part of SC'16.
- Oct 19, 2016. Our paper titled "Efficient Identification of Tanimoto Nearest Neighbors" has received the Best Research Paper Award at the 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA’2016).
- Oct 19, 2016. Was awarded the prestigious Next Generation Data Scientist Award (NDGS) at the 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA’2016).
- Aug 22, 2016. Joined the Department of Computer Engineering at San José State University as an Assistant Professor.