Education
I did my Masters in Robotics at the Robotics Institute of Carnegie Mellon University.
Prior to my time at CMU, I was at the Indian Institute of Technology Guwahati. I graduated from IIT-G in 2016 with a Bachelors of Technology, majoring in Mechanical Engineering, with a minor in Electronics and Communication Engineering.
At CMU, I was a teaching assistant for Deep Reinforcement Learning and Control (Spring 2018), taught by Ruslan Salakhutdinov. I've also taken the following courses:
My relevant coursework at IIT may be found below.
Prior to my time at CMU, I was at the Indian Institute of Technology Guwahati. I graduated from IIT-G in 2016 with a Bachelors of Technology, majoring in Mechanical Engineering, with a minor in Electronics and Communication Engineering.
At CMU, I was a teaching assistant for Deep Reinforcement Learning and Control (Spring 2018), taught by Ruslan Salakhutdinov. I've also taken the following courses:
- Kinematics, Dynamics, and Control (Spring 2018).
- Deep Learning (Fall 2017).
- Language Grounding in Vision and Control (Fall 2017).
- Deep Reinforcement Learning and Control (Spring 2017).
- Machine Learning (Spring 2017).
- Computer Vision (Fall 2016).
- Math Fundamentals for Robotics (Fall 2016).
My relevant coursework at IIT may be found below.
Mathematics courses:
Electronics and Communication Engineering courses:
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Mechanical Engineering courses:
Computer Science courses:
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For a more in-depth view at the courses I've done, please view my transcript here.
Tools
Here are some tools I've worked with over the course of the past 4 or 5 years.
Programming Languages:
Programming Languages:
- Python, C, C++, Matlab, Julia.
- TensorFlow, ROS, OpenCV, PCL, MATLAB, LaTeX, RViz, Gazebo.
- Github, Solidworks.
- Intel NUC, Odroid XU3, Pixhawk Autopilot, Tarot Gimbal, Arduino, RPi.
Online Courses and Lectures
Here are some interesting online courses I've done to learn more about my research.
Reinforcement Learning:
Machine Learning:
- Probabilistic Graphical Models - Coursera, from Stanford
- Deep Learning - Oxford University.
- Machine Learning - Coursera, from Stanford.
- Supervised, Unsupervised, and Reinforcement Learning - Udacity, from Georgia Tech.
Artificial Intelligence:
- Introduction to Artificial Intelligence - EdX, from UC Berkeley.
- Artificial Intelligence for Robotics - Udacity.
Mobile Robotics:
- Autonomous Mobile Robotics - EdX, from ETH Zurich.
- Autonomous Navigation for Flying Robots - EdX, from TU Munich.
- Simultaneous Localization and Mapping - University of Freiburg.
- Control of Mobile Robots - Coursera, from Georgia Tech.