Karthik Bhaskar
M.A.Sc in Electrical and Computer Engineering, University of Toronto
University of Toronto: Room 7114, Bahen Center for Information Technology (BA), 40 St George St, Toronto, ON M5S 2E4
University of Toronto: Room 254, Wallberg Memorial Building (WB), 184 College St, Toronto, ON M5S 3E4
Phone: +1 (647) 804 - 6600 (Canada)
Email: kbhaskar[at]ece[dot]utoronto[dot]ca

LinkedIn | Github | Medium | Twitter

I am currently working as a Student Researcher at WangLab affiliated with Vector Institute and University Health Network, proudly advised by Prof. Bo Wang. I completed my Master's degree in ECE, specialized in Machine Learning at the University of Toronto advised by Prof. Deepa Kundur and by Prof. Yuri Lawryshyn. My research focuses on Machine Learning, Computational Biology, Computer Vision and Natural Language Processing. Apart from my research, I am also interested in Deep Learning and Deep Reinforcement Learning with the focus of transfer learning, imitation learning, model-based RL. My ultimate goal is to build robust, privacy-preserved, and interpretable algorithms with human like ability to generalize in real-world environments by using data as its own supervision.

Throughout my life, I have approached every challenge with enthusiasm, creativity, and a ceaseless desire to achieve success. This passion and drive have paved the way to countless opportunities, unique experiences, and excellent relationships, both personally and professionally. I enjoy working with people and discussing ideas, so please do not hesitate to contact me.

Outside of academics, I enjoy basketball, hiking, biking, running ( pretty much every sport ! ). If you would like to chat, feel free to send me an email.

Education
Publications

Implicit Feedback Deep Collaborative Filtering Product Recommendation System
Karthik Bhaskar , Deepa Kundur & Yuri Lawryshyn
Arxiv, 2020
Arxiv 2020

Teaching
Sanja'sImage(image credit to Prof. Sanja)

Reinforcement Learning Projects
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Collaboration and Competition: Multi Agent Deep Deterministic Policy Gradient
Deep Reinforcement Learning, Actor Critic Methods, Unity ML, Multi Agent Deep Deterministic Policy Gradient (MADDPG)
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Continuous Control: Deep Deterministic Policy Gradient
Deep Reinforcement Learning, Policy Based Methods, Unity ML, Deep Deterministic Policy Gradient (DDPG)
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Navigation: Deep Q Networks
Deep Reinforcement Learning, Value Based Methods, Unity ML, Deep Q Networks
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Human Like Chess Engine
Deep Reinforcement Learning, Alpha Zero, Leela Chess, ELO
Deep Learning Projects
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Defense GAN & Physical Adversarial Examples
Deep Learning & Security, Generative Adversarial Networks
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Hyper Face
Deep Learning - Face Detection, Landmark Localization, Landmark Visibility
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Self Driving Cars
NVIDIA End to End CNN Network
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Music Generation
Deep Learning, Keras, LSTM
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Human Activity Recognition
UCI Machine Learning Repository, Deep Learning, LSTM

Machine Learning Projects
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Facebook Social Network Graph Prediction
Kaggle
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Quora Question Pair Similarity
Kaggle
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Microsoft Malware Detection
Kaggle
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StackOverflow Tag Predictor
Kaggle
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Taxi Demand Prediction
New York City Taxi & Limousine Commission

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Presonalized Cancer Diagnosis
Kaggle
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AD Click Prediction
Google
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Amazon Fashion Recommender
Amazon
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Netflix Movie Recommender
Netflix
Cybersecurity - Machine Learning Projects
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Project X v.1.0
CyberSecurity - ML R&D
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MITRE Tagging - Octavius
CyberSecurity - ML R&D

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