I work as a Senior Machine Learning Researcher at Comcast Applied AI lab. I design, implement and optimize deep neural network models for understanding human intents from voice queries made through Xfinity Voice Remote control.

Over the last 10 years, I applied machine learning concepts in affective computing, multimodal signal processing, accessibility, human-computer interaction, and behavioral prediction of humans. I developed a causal model guided deep learning architecture for a bias-free prediction of the TED Talk ratings. I invented an unsupervised algorithm to detect repetitive body-movements (Mannerisms) from MoCap signals. I designed and implemented novel deep learning architectures for several real-life applications. I completed my Ph.D. from the University of Rochester. I worked with Dr. M. Ehsan Hoque at Rochester Human-Computer Interaction (ROCHCI) lab.

Highlighted Publications

UR-FUNNY: A Multimodal Language Dataset for Understanding Humor, EMNLP’19, Hong Kong, China
A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks
, arXiv preprint arXiv:1905.08392
SyntaViz: Visualizing Voice Queries through a Syntax-Driven Hierarchical Ontology, EMNLP’18, Brussels, Belgium, 2018 
Awe the Audience: How the Narrative Trajectories Affect Audience Perception in Public Speaking
, CHI’18, Montreal, Canada, 2018
AutoManner: An Automated Interface for Making Public Speakers Aware of Their Mannerisms, IUI’16, Sonoma, CA, USA, 2016
Unsupervised Extraction of Human-Interpretable Nonverbal Behavioral Cues in a Public Speaking Scenario, ACMMM’15, Brisbane, Australia, 2015
Automated Prediction of Job Interview Performance: The Role of What You Say and How You Say It, FG’15, Ljubljana, Slovenia, 2015.

Highlighted Projects

News and Presentations

Aug 13th, 2019 Our UR-Funny paper got accepted in EMNLP paper
Oct 27th, 2018 I presented in the lab on Judea Pearl’s new book “The Book of Why”. My advisor, Ehsan Hoque tweeted that and Judea Pearl himself commented on that tweet! Tweet
Slides
Oct 22nd, 2018 I’ve successfully defended my PhD thesis Pictures
Slides
Aug 6th, 2018 One of my work during the internship in Comcast Lab is accepted in EMNLP Paper
April 25, 2018 I presented our TED Talk work in CHI 2018 Slides
Feb 16, 2018 I presented Chapter 5 from the Deep Learning book in Lab Slides
Jan 2018 Our paper got accepted in CHI 2018
Oct 6th, 2017 My thesis proposal got accepted
Sep 26, 2017 Invited to Brain and Cognitive Science for presenting my work in NSF Research Traineeship Program (NRT) Slides
Aug 10, 2017 I presented a pyTorch Tutorial in our lab Slides
May 15, 2017 I am going to work as an intern at the Comcast Applied AI Research Lab this summer
July 24th, 2016 I was invited for a presentation at RIT for One-Day REU Symposium Slides
Sep 1st, 2016 AutoManner code is released Code
GUI Code
Jan 15th, 2016 IUI travel grant award approved
Dec 7th, 2015 Our paper got accepted in IUI 2016
15th Sep, 2015 I got the ACMMM travel grant award 2015
4th July, 2015 Our short paper in ACM Multimedia got accepted
26th June, 2015 One item in my bucket list is checked — I met Prof. Gilbert Strang!!
16th April, 2015 Our IUI paper (Rhema) is being featured in UoR news and other news: NY MagazinewxxinewsEngadget, Gizmag, Eurekalert, Entrepreneur, InnovationTrail. Code

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I met Prof Gilbert Strang in 2015!

I met my grand-advisor Professor Rosaline Picard in 2011

With Professor Jeffrey Cohn in ACII 2011