ABOUT ME !
Graduating Fall 2023 and seeking postdoc or research scientist position.
I am a PhD Candidate at Georgia Institute of Technology. I’m working with Dr. Zsolt Kira at the Robotics, Perception and Learning (RIPL) Lab. I also closely collaborate with Sergey Zakharov, Rares Ambrus and Adrien Gaidon from Toyota Research Institute. My current research focuses on 3D perception, Scene Understanding and Embodied AI and covers topics such as neural implicit reconstruction (i.e. NeRF), efficient 3D object detection, 6D pose estimation and visual embodied navigation.
I have been fortunate to spend time at Toyota Research Institute (ML-R) working on compositionality of neural-radiance based representations (NeRF) and implicit models for 3D shape, appearance and pose optimization. I also spent the wonderful summers before at Toyota Research Institute (Robotics) (Summer’21) and SRI International (Summer’20) working on 3D perception, scene understanding and semantic and spatial reasoning for embodied agents.
Feel free to contact me to talk anything related to Robotics, Deep Learning or related to some of my projects. Below you will find my projects portfolio. You can find my resume here
EDUCATION
- PhD, Robotics/AI and Mechanical Engineering, 2023 (Expected)
Georgia Institute of Technology - M.S, Robotics/AI & Mechanical Engineering, 2019
Georgia Institute of Technology
EXPERIENCE
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Research Intern - CV and Deep Learning, Jan-Aug 2022
Toyota Research Institute (TRI) - MLR - Research Intern - Robotics, May-Aug 2021
Toyota Research Institute (TRI) - Robotics - Deep Learning Research Intern, May-Aug 2020
Stanford Research Institute (SRI) International - Graduate Research Assistant, Jan 2019 - Present
Georgia Institute of Technology
NEWS
[April 2023] Started as a mentor at Fatima Fellowship, supported by Huggingface
[April 2023] Passed my PhD proposal defense titled ‘Inductive biases for object and agent-centric neural 3D scene representations’
[April 2023] Gave an invited talk at Cohere for AI on Learning Object-centric Neural 3D Scene Representations
[April 2023] Gave an guest lecture at Georgia Tech’s Deep learning Class on ‘Learning Object-centric Centric Neural 3D Scene Representations’
[Feb 2023] Our paper, CARTO, accepted into CVPR’23
[Oct 2022] Attended ECCV’22 virtually (Poster presentation of our paper, ShAPO)
[Aug 2022] Awarded GRA Funding (with Dr. Zsolt Kira) from Toyota Research Institute for my PhD
[May 2022] Our paper, SASRA, accepted to ICPR’22
[May 2022] Attended ICRA’22 in person. Gave a talk on our paper, CenterSnap
[Jan 2022] Started my second internship at Toyota Research Institute, with Machine Learning team in Bay Area, California
[May 2021] Attended ICRA’21 virtually. Gave a talk on our paper, Robo-VLN
[May 2021] Started my first internship at Toyota Research Institute, with Robotics perception team in Bay Area, California.
[Jan 2021] Our paper, Robo-VLN, accepted to ICRA’21
[May 2020] Started summer internship at SRI International, with CVT team in Princeton, New Jersey
[Nov 2019] Passed PhD Qualifying Exams at Georgia Tech
[Aug 2019] The beginning of my PhD program
FEATURED PUBLICATIONS
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar
SASRA: Semantically-aware Spatio-Temporal Reasoning Agent for Vision-and-Language Navigation
Deep Reinforcement Learning based control of complex robotic agents
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Embodied Visual Navigation in Habitat
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Learning inverse dynamics of 7-DOF Robot Arm
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Complex robot maze navigation using image classification and ROS
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Vehicle Control for Autonomous Driving
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Environment perception stack for Self Driving Cars
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Visual Odometry for Autonomous Driving
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