Scholar
Shalini Ghosh
Google Scholar ID: kC9Pmn8AAAAJ
Tech Lead on AI Safety (Principal / Director level) in Google K&I
Citations & Impact
Citations
2,413
H-index
23
i10-index
37
Publications
20
Co-authors
56
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - September 2020: Paper selected for Merit Award in Samsung Best Paper Award 2020, within top 4.6% of all submitted papers and top 3 in the Multimedia track.
- - July 2020: Latest paper on multimodal AI accepted at ACM Multimedia 2020 as an Oral Paper.
- - June 2020: Paper on Video Content Analysis short-listed for Samsung Best Paper Award 2020.
- - December 2019: Selected as one of the 30 Influential Women Advancing AI in 2019.
Research Experience
- - Since October 2020, Principal Research Scientist in Amazon Science, Alexa AGI team.
- - Until August 2020, Principal Scientist (Director) and Leader of the Machine Learning Research team at Samsung Research America, Smart TV division.
- - May 2018 - July 2019, Director of AI Research at the Artificial Intelligence Center in Samsung Research America, reporting to Dr. Larry Heck.
- - Before May 2018, Principal Computer Scientist at the Computer Science Laboratory in SRI, Menlo Park, reporting to Dr. Patrick Lincoln.
- - July 2014 - August 2015, Visiting Scientist at Google Research as part of the Google Visiting Faculty Program, working on applying deep learning (Google Brain) models to problems in natural language understanding.
Education
- - Ph.D. in 2005 from the University of Texas at Austin, ECE, under Prof. Nur Touba.
- - M.S. from the Computer Engineering Department of the University of California, Santa Cruz, under Prof. F. Joel Ferguson.
- - B.Sc. (Honors) in Physics, with minors in Mathematics and Chemistry, from St. Xavier's College, University of Calcutta.
Background
- Research interests include speech understanding, multi-modal learning (e.g., joint learning from speech, language, image, and vision modalities), natural language applications (e.g., language models, paraphrase generation, machine reading), dependable computing (e.g., cyber security, fault tolerance), and information theory applications (e.g., error correcting codes). Currently, a Principal Research Scientist in Amazon Science, working in the Alexa AGI team.
Miscellany
- Contact email: shalini DOT ghosh AT gmail DOT com
