{"id":5,"date":"2014-04-02T11:31:36","date_gmt":"2014-04-02T16:31:36","guid":{"rendered":"https:\/\/sites.bu.edu\/data\/home\/"},"modified":"2021-07-07T13:50:54","modified_gmt":"2021-07-07T17:50:54","slug":"home","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/data\/","title":{"rendered":""},"content":{"rendered":"

\"AI<\/a>Venkatesh Saligrama<\/strong>,
\nProfessor and Data Science Faculty Fellow
\nDepartment of Electrical and Computer Engineering,
\nDepartment of Computer Science (by courtesy)
\n8 St. Mary’s Street, Room 438, Boston University, MA 02215<\/strong>
\nEmail: srv_at_bu_dot_edu<\/p>\n

.<\/span><\/div>\n

Research Interests:<\/h2>\n

Resource Constrained Learning: <\/span><\/em><\/a>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.<\/p>\n

Learning with Limited Supervision:<\/span> <\/em>Cross-Domain Adaptation, Open Set Recognition: Zero-Shot Learning, Few-Shot Learning, Meta-Learning<\/p>\n

AI and Society:<\/span> <\/em>Mitigating Bias in Machine-Learned Representations<\/p>\n

Learning and Estimation on Graphs\/Networks:<\/span> <\/em>Subgraph Anomaly Detection, Community and Network Change Detection<\/p>\n

Graduate Students<\/h2>\n\n\n<\/colgroup>\n\n<\/colgroup>\n\n\n\n\n\n\n\n
Alp Acar<\/a>,
\nPhD Student<\/td>\n		Research topics:<\/strong> Efficient Training and Inference
\nOffice:<\/strong> PHO<\/a> 411A<\/strong><\/td>\n<\/tr>\n
Aditya Gangrade<\/a>,
\nPhD Student
\n(Co-Advised with Prof. Nazer<\/a>)<\/td>\n		Research topics:<\/strong> Statistical Testing of Networks
\nOffice:<\/strong> PHO<\/a> 411A
\nEmail: gangrade@bu.edu
<\/strong><\/td>\n<\/tr>\n
Samarth Mishra<\/a>,
\nPhD Student
\n(Co-Advised with Prof. Saenko<\/a>)<\/td>\n		Research topics:<\/strong> Learning with Limited Supervision
\nOffice:<\/strong> PHO<\/a> 411A
\nEmail: samarthm@bu.edu
<\/strong><\/td>\n<\/tr>\n
Pengkai Zhu<\/a>,
\nPhD Student<\/td>\n		Research topics:<\/strong> Zero-shot Detection and Learning
\nOffice:<\/strong> PHO<\/a> 411A
\nEmail: zpk@bu.edu
<\/strong><\/td>\n<\/tr>\n
Anil Kag<\/a>,
\nPhD Student<\/td>\n		Research topics:<\/strong> Deep Neural Network Methods
\nOffice:<\/strong> PHO<\/a> 411A
\nEmail: anilkag@bu.edu
<\/strong><\/td>\n<\/tr>\n
Tianrui Chen,
\nPhD Student<\/td>\n		Research topics:<\/strong> Selective Classification
\nOffice:<\/strong> PHO<\/a> 411A
\nEmail: trchen@bu.edu
<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Alumni<\/h2>\n\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Tolga Bolukbasi<\/a>
PhD 2018<\/td>\n		Current: <\/strong>Applied Research Scientist, Google Brain
Research (BU): <\/strong>Resource Constrained Learning, Societal Impact of Machine Learning<\/td>\n<\/tr>\n
Feng Nan<\/a>
PhD 2018<\/td>\n		Current: <\/strong>Applied Research Scientist, Amazon AWS
Research (BU): <\/strong>Resource Constrained Learning<\/td>\n<\/tr>\n
Yuting Chen<\/a>
PhD 2017<\/td>\n		Current: <\/strong>Applied Research Scientist, Adobe Research
Research (BU): <\/strong>Person re-identification, surveillance video analytics<\/td>\n<\/tr>\n
Cem Aksoylar
PhD 2017<\/a><\/td>\n		Current: <\/strong>Applied Scientist, Microsoft, Sunnyvale, CA
Research<\/strong> (BU): Information theory with Sparsity Constraints,
Detection theory for signals on graphs<\/td>\n<\/tr>\n
Joe Wang<\/a>
\nPost-doctoral Associate (2014-2016)<\/td>\n		Current: <\/strong>Research Scientist, Amazon, Cambridge
\nResearch (BU):<\/strong> Resource Constrained Learning, Deep Learning<\/td>\n<\/tr>\n
Ziming Zhang<\/a>
\nPost-doctoral Associate (2014-2016)<\/td>\n		Current: <\/strong>Assistant Professor, WPI
\nResearch (BU):<\/strong> Zero Shot Learning, Deep Learning<\/td>\n<\/tr>\n
Greg Castanon<\/a>
\nPhD 2016<\/td>\n		Current: <\/strong>Systems and Technology Research, Research Staff Member
\nResearch (BU):<\/strong> Exploratory Search Through Large Video Corpora<\/td>\n<\/tr>\n
Manjesh Hanawal<\/a>
\nPost-doctoral Associate (2014-2016)<\/td>\n		Current: <\/strong>Assistant Professor, IIT-Mumbai
\nResearch (BU):<\/strong> Resource Constrained Learning<\/td>\n<\/tr>\n
Weicong Ding<\/a>
\nPhD 2015<\/td>\n		Current: <\/strong>Amazon, Research Scientist
\nResearch (BU):<\/strong> Topic Modeling<\/td>\n<\/tr>\n
Jing Qian<\/a>
\nPhD 2014<\/td>\n		Current: <\/strong>Facebook Inc., Research Scientist
\nResearch:<\/strong> Anomaly detection, Signal Detection on Graphs<\/td>\n<\/tr>\n
Philip Tran<\/a>
\nMS 2014<\/td>\n		Current: <\/strong>MIT Lincoln Labs
\nResearch (BU):<\/strong> Person Re-Identification<\/td>\n<\/tr>\n
Mohammad Rohban<\/a>
\nPost-doctoral Associate (2012-2014)<\/td>\n		Current: <\/strong>Assistant Professor, Sharif University, Computer Engineering
\nResearch (BU):<\/strong> Structured Signal Processing & Topic Modeling<\/td>\n<\/tr>\n
Delaram Motamed Vaziri<\/a>
\nPhD 2014<\/td>\n		Current: <\/strong>Senior Data Scientist, Visual IQ
\nResearch (BU):<\/strong> High dimensional inference, structured sparse models and non-linear measurement channels<\/td>\n<\/tr>\n
Kirill Trapeznikov<\/a>
\nPhD 2013<\/td>\n		Current: <\/strong>Lead Research Scientist, Systems & Technology Research
\nResearch (BU):<\/strong> Machine learning on a budget<\/td>\n<\/tr>\n
Mohamed El-Gharib<\/a>
\nPost-doctoral Associate (2010-2012)<\/td>\n		Current: <\/strong> Research Associate, QCRI
\nResearch (BU):<\/strong>Exploratory Video Search<\/td>\n<\/tr>\n
Manqi Zhao<\/a>
\nPhD 2011<\/td>\n		Current:<\/strong> Google Inc
\nResearch (BU):<\/strong> Anomaly Detection based on KNN Graphs, Sparse Recovery, Compressed Sensing<\/td>\n<\/tr>\n
Erhan Ermis<\/a>
\nPhD 2010<\/td>\n		Current:<\/strong> Principal, Boston Consulting Group (BCG)
\nResearch (BU):<\/strong> Video Anomaly Detection, Multi-Camera Matching, Statistical Signal Processing<\/td>\n<\/tr>\n
Shuchin Aeron<\/a>
\nPhD 2008<\/td>\n		Current:<\/strong> Associate Professor, ECE, Tufts University
\nResearch:<\/strong> Efficient sensing and reconstruction of sparse phenomena: bounds and algorithms<\/td>\n<\/tr>\n
George Atia<\/a>
\nPhD 2008<\/td>\n		Current:<\/strong> Associate Professor, EECS, University of Central Florida
\nResearch:<\/strong> Robust strategies for cooperative and cognitive wireless communication systems<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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; […]<\/p>\n","protected":false},"author":9344,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/pages\/5"}],"collection":[{"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/users\/9344"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/comments?post=5"}],"version-history":[{"count":50,"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/pages\/5\/revisions"}],"predecessor-version":[{"id":906,"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/pages\/5\/revisions\/906"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/data\/wp-json\/wp\/v2\/media?parent=5"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}