Venkatesh Saligrama,
Professor and Data Science Faculty Fellow
Department of Electrical and Computer Engineering,
Department of Computer Science (by courtesy)
8 St. Mary’s Street, Room 438, Boston University, MA 02215
Email: srv_at_bu_dot_edu
Research Interests:
Resource Constrained Learning: Efficient Training and Inference: Federated training for heterogenous devices and data. Budgeted Learning: Test-time Feature Acquisition Costs; Hybrid Inference: IoT/Cloud models, Selective Classification.
Learning with Limited Supervision: Cross-Domain Adaptation, Open Set Recognition: Zero-Shot Learning, Few-Shot Learning, Meta-Learning
AI and Society: Mitigating Bias in Machine-Learned Representations
Learning and Estimation on Graphs/Networks: Subgraph Anomaly Detection, Community and Network Change Detection
Graduate Students
| Alp Acar, PhD Student |
Research topics: Efficient Training and Inference Office: PHO 411A |
| Aditya Gangrade, PhD Student (Co-Advised with Prof. Nazer) |
Research topics: Statistical Testing of Networks Office: PHO 411A Email: gangrade@bu.edu |
| Samarth Mishra, PhD Student (Co-Advised with Prof. Saenko) |
Research topics: Learning with Limited Supervision Office: PHO 411A Email: samarthm@bu.edu |
| Pengkai Zhu, PhD Student |
Research topics: Zero-shot Detection and Learning Office: PHO 411A Email: zpk@bu.edu |
| Anil Kag, PhD Student |
Research topics: Deep Neural Network Methods Office: PHO 411A Email: anilkag@bu.edu |
| Tianrui Chen, PhD Student |
Research topics: Selective Classification Office: PHO 411A Email: trchen@bu.edu |
Alumni
| Tolga Bolukbasi PhD 2018 |
Current: Applied Research Scientist, Google Brain Research (BU): Resource Constrained Learning, Societal Impact of Machine Learning |
| Feng Nan PhD 2018 |
Current: Applied Research Scientist, Amazon AWS Research (BU): Resource Constrained Learning |
| Yuting Chen PhD 2017 |
Current: Applied Research Scientist, Adobe Research Research (BU): Person re-identification, surveillance video analytics |
| Cem Aksoylar PhD 2017 |
Current: Applied Scientist, Microsoft, Sunnyvale, CA Research (BU): Information theory with Sparsity Constraints, Detection theory for signals on graphs |
| Joe Wang Post-doctoral Associate (2014-2016) |
Current: Research Scientist, Amazon, Cambridge Research (BU): Resource Constrained Learning, Deep Learning |
| Ziming Zhang Post-doctoral Associate (2014-2016) |
Current: Assistant Professor, WPI Research (BU): Zero Shot Learning, Deep Learning |
| Greg Castanon PhD 2016 |
Current: Systems and Technology Research, Research Staff Member Research (BU): Exploratory Search Through Large Video Corpora |
| Manjesh Hanawal Post-doctoral Associate (2014-2016) |
Current: Assistant Professor, IIT-Mumbai Research (BU): Resource Constrained Learning |
| Weicong Ding PhD 2015 |
Current: Amazon, Research Scientist Research (BU): Topic Modeling |
| Jing Qian PhD 2014 |
Current: Facebook Inc., Research Scientist Research: Anomaly detection, Signal Detection on Graphs |
| Philip Tran MS 2014 |
Current: MIT Lincoln Labs Research (BU): Person Re-Identification |
| Mohammad Rohban Post-doctoral Associate (2012-2014) |
Current: Assistant Professor, Sharif University, Computer Engineering Research (BU): Structured Signal Processing & Topic Modeling |
| Delaram Motamed Vaziri PhD 2014 |
Current: Senior Data Scientist, Visual IQ Research (BU): High dimensional inference, structured sparse models and non-linear measurement channels |
| Kirill Trapeznikov PhD 2013 |
Current: Lead Research Scientist, Systems & Technology Research Research (BU): Machine learning on a budget |
| Mohamed El-Gharib Post-doctoral Associate (2010-2012) |
Current: Research Associate, QCRI Research (BU):Exploratory Video Search |
| Manqi Zhao PhD 2011 |
Current: Google Inc Research (BU): Anomaly Detection based on KNN Graphs, Sparse Recovery, Compressed Sensing |
| Erhan Ermis PhD 2010 |
Current: Principal, Boston Consulting Group (BCG) Research (BU): Video Anomaly Detection, Multi-Camera Matching, Statistical Signal Processing |
| Shuchin Aeron PhD 2008 |
Current: Associate Professor, ECE, Tufts University Research: Efficient sensing and reconstruction of sparse phenomena: bounds and algorithms |
| George Atia PhD 2008 |
Current: Associate Professor, EECS, University of Central Florida Research: Robust strategies for cooperative and cognitive wireless communication systems |