Courses|Awards

Awards/Scholarships

3-MT Finalist (2019) for the paper “Learning Options with Interest Functions“, AAAI 2019
Doctoral Consortium Scholarship (2019) received funding for the 2019 AAAI/SIGAI Doctoral Consortium (DC) from ACM/SIGAI, AIJ, and other sources.
Best Paper Award (2018) for the paper “Attend Before you Act: Leveraging human visual attention for continual learning” at Lifelong Learning: A Reinforcement Learning Approach Workshop, ICML 2018
Student Volunteer Award (2018) ICML 2018
Graduate Research Award (2017) to pursue a Ph.D. degree in Computer Science at McGill University. (Accepted)
‘CIDSE Doctoral Fellowship Award(2017)’ – Award for the first year of study to pursue a Ph.D. degree in Computer Science at Arizona State University. (Declined)
‘Graduate Research Assistantship Award(2017)’ – Award to pursue a Ph.D. degree in Computer Science at the University of Florida. (Declined)
‘Academic Achievement Award(2014)’ – Recipient of this award in the form of a partial fee waiver during graduate studies at UF for good academic performance
Nominated for the ‘Best Outgoing Student Award (2010-11)‘ for Batch of B.Tech. ’07, Vellore Institute of Technology University
‘Achievement award in recognition of her outstanding performance and dedication in the game of Basketball – 2011‘, Vellore Institute of Technology University
‘Outstanding performance in sports for the academic year 2009-2010‘ while pursuing B.Tech, Electronics, and Communication Engineering, at Vellore Institute of Technology University
‘Merit Scholarship for best academic performance for the year 2008-2009‘ while pursuing B.Tech, Electronics, and Communication Engineering, at Vellore Institute of Technology University
‘Merit Scholarship for best academic performance for the year 2007-2008‘ while pursuing B.Tech, Electronics, and Communication Engineering, at Vellore Institute of Technology University
‘Intellectual Award‘ by Dreamz (Education Society) & Amar Ujala(Media partner) – 2005
‘Youth Merit Award‘ as a recognition of outstanding qualities of ingenuity and creativity displayed through participation in 18th Rotary Jet Science Models Contest – 2004

Courses

Mathematical Foundations of Machine Learning
Reinforcement Learning – McGill‘ , ‘Reinforcement Learning – UCL‘
‘Convolutional Neural Networks for Visual Recognition – CS231n’ – self-learning – ongoing
‘Scientific Computing’
‘Pattern Recognition’
‘Image Processing and Computer Vision’
‘Stochastic Methods II’
‘Intelligent Machines Design Laboratory‘
‘Elements of Machine Intelligence’
‘Machine Learning‘ offered by Stanford University via Coursera – 2013 Certificate of Completion
Covering a broad range of topics including supervised learning(parametric/non-parametric algorithms, support vector machines, kernels, neural networks), unsupervised learning(clustering, dimensionality reduction, recommender systems, deep learning), and best practices in machine learning. Programming assignments gave hands-on experience in solving real-time problems.
‘Control of Mobile Robots‘ offered by Georgia Institute of Technology via Coursera- 2014 Certificate of Completion
Focuses on mobile robots as the target application and problems that will be covered include (1) how to make (teams of) wheeled ground robots avoid collisions while reaching target locations, (2) how to make aerial, quadrotor robots follow paths in the presence of severe disturbances, and (3) how to locomotive bipedal, humanoid robots.

17/7/2020 Our research on "What can I do here? A Theory of Affordances in RL" is featured at the MIT Technology Review.

1/6/2020 Our paper on "What can I do here? A Theory of Affordances in RL" has been accepted at the International Conference on Machine Learning (ICML) 2020. See full paper here.

14/5/2020 I gave a talk on A Theory of Affordances in RL at the Reinforcement Learning and Artificial Intelligence lab meeting at University of Alberta, invited by Martha White.

6/1/2020 Our work on Value Preserving State Action Abstractions has been accepted for presentation at AISTATS, 2020.

11/10/2019 Our work on Options of Interest: Temporal Abstraction with Interest Functions has been accepted at AAAI, 2020. A preliminary draft of the ideas in this work was published in the AAAI, 2019 Student Abstract proceedings

13/9/2019 I taught an invited lecture on “Introduction to RL” at the MILA/IVADO summer school on Deep Learning, Montreal, 2019

29/7/2019 I am currently a PhD Research Intern at DeepMind , Montreal working with Doina Precup and the HRL team.

6/6/2019 I am co-organizing a Lifelong Learning: A Reinforcement Learning (LLARLA) Workshop to be held during RLDM, 2019 .

24/3/2019 I am co-organizing a Workshop on Multi-Task and Lifelong Reinforcement Learning to be held during ICML-19 in Long Beach, USA . We have an exicting line up of speakers. Consider submitting your work.

10/26/2018 Our work on Learning Options with Interest Functions, has been selected for poster presentation in the AAAI-19 Student Abstract and Poster Program to be held during AAAI-19 in Honolulu, Hawaii

10/15/2018 I have been chosen to be a presenter at the 24th AAAI/SIGAI Doctoral Consortium (DC) at AAAI-19 in Honolulu, Hawaii

6/20/2018 Our work on 'Safe Option-Critic: Learning Safety in the Option-Critic Architecture' Accepted in ICML 2018 Workshop on Adaptive Learning Agents. Paper is now on arxiv!

6/16/2018 Our work on 'Attend Before you Act: Leveraging human visual attention for continual learning' Accepted in ICML 2018 Workshop on LifeLong Learning. Paper coming out soon!

5/13/2018 I will be one of the Teaching Assistants at the AI For Social Good Summer School from May 14-June 21. Super excited to be a part of this initiative.

2/28/2018 Invited talk on Introduction to Computer Vision & Reinforcement Learning at ITTT (Informative Talks on Technical Topics) organized by the McGill IEEE Student Branch.

11/13/2017 Volunteered as a mentor at the Women in Innovation and Artificial Intelligence Breakfast organized as the kick-off event of the McGill Innovation Week in the Fall of 2017.

10/1/2017 Organized the weekly Fall-17 AI Safety RL Lab Reading Group to get started with discussions and initial reading on related literature.

9/15/2017 Joined the Reasoning and Learning lab at McGill University as a 1st year Ph.D. student. Attended the ACM Canadian Women Celebration of Women in Computing

6/1/2017 Left job at Intel. I will be joining Ph.D. in CS program at the McGill University in Fall 2017.

5/1/2017 My application for Reinforcement Learning Summer School (RLSS) 2017 has been accepted. 225 out of 1130 applicants were selected.

4/14/2017 My application for International Computer Vision Summer School (ICVSS) 2017 has been accepted. 150 out of 430 applicants were selected.

03/27/2017 Manuscript entitled “Creating Segments and Effects on Comics by Clustering Gaze Data” has been accepted for publication in the Transactions on Multimedia Computing Communications and Applications [ACM TOMM]

02/27/2017 Invited Talk on Learning Visual Representations at the ASU Active Perception Group Seminar Series at the Arizona State University, Tempe.

08/03/2016 Invited Talk at the Women in Deep Learning event at the Deep Learning Summer School, Montreal

06/09/2016 As of June-27-2016, I start working as a Software Engineer in the Perception Computing Group-IOTG at Intel Corporation, Arizona.

05/11/2016 My application for CIFAR-CRM 2016 Deep Learning Summer School has been accepted.

04/22/2016 Paper on 'A Preliminary Benchmark of Four Saliency Algorithms On Comic Art' Accepted in ICME-MMArt Workshop 2016 .

09/23/2015 Attended RoboBusiness Expo 2015 at San Jose from Intel.

02/05/2015 I will be spending Summer & Fall of 2015 as a Perception Computing Software Intern at Intel.

12/10/2014 My robot AUMORO built in the course IMDL- Fall 2014 was covered in the WUFT news on Robot Demo Day .

Courses|Awards

Awards/Scholarships

Courses

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