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Busy making DENTS in the MULTIVERSE

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MaheepChaudhary/README.md

Maheep Chaudhary's header

Hello there! My name is Maheep Chaudhary.

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โœ My Digital Garden ๐ŸŒฑ

I am currently a Master's student in NTU, Singapore under the guidance Prof. Ong Yee Soon - President's Chair Professor of Computer Science at the School of Computer Science and Engineering at Nanyang Technological University (NTU). Beside, that I am working with Stanford University under the expert guidance of Dr. Atticus Geiger. In this role, I am actively engaged in a research endeavor that delves into the intricacies of neural networks. My focus involves interventions employing causality as a tool to enhance interpretability and fortify the robustness of these neural networks. This experience has provided valuable insights into the inner workings of these systems and their potential applications in advancing the field.

Previously, I worked for 2 years under the guidance of Mr. Haohan Wang, Carnegie Mellon University, USA, where I wrote a survey on Trustworthiness in Machine Learning from Causal Perspective: Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives. You can access my latest work under preparation using this link.. Previously, I had worked with MIT Driverless on Self-Driving Car as Computer Vision Engineer and also participated in Indus Autonomous Challenge. In addition to that I have also worked with Dr. Shitala Prasad, A*star, Singapore where I worked on Caption Generation using the MANN, which is currently being reviewed. Additionally, I have worked on Reminder Cum Recommendation System under the guidance of Prof. Chandresh Kumar Maurya, IIT Indore which was successfully submitted to Cods-COMAD: ACM IKDD 2021. Besides that, I have also worked on the Recommendation Engine Research Project under Prof. Mrityunjay Singh (Funded by AICTE) in JUIT, Wagnakhat for one year and have submitted the paper in the Information Sciences journal. I have also been a winner in the Smart India Hackathon(World's Biggest Hackathon) solving the problem proposed by the Beaureau of Research and Development(BPRD) regarding Facial Recognition. I have also been shortlisted by AICTE to represent India as Team Leader in ASEAN-India Hackathon, which was held between 11 ASEAN countries.


๐Ÿ”ง Technologies & Tools


๐Ÿ’ผ Where i am/was working at/as


โœ‰๏ธ Contact me:

I am best reached via email: chaudhary (dot) maheep28 (AT) gmail (dot) com


๐Ÿ“ˆ Github Stats

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Popular repositories

  1. Causation-inComputerVision Causation-inComputerVision Public

    The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.

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  2. Stand-Alone_Self-Attention Stand-Alone_Self-Attention Public

    Implemented the Stand-Alone Self-Attention research paper form scratch in Tensorflow

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  3. Covid-19_Alert_System Covid-19_Alert_System Public

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  4. Neural-Style-Transfer Neural-Style-Transfer Public

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  5. Computer-Vision Computer-Vision Public

    Here are some programs manipulating images using OpenCV

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  6. Tourist-Guide Tourist-Guide Public

    This model is inspired by the problem of SIH 2020 i.e. Virtual Tourist Guide.

    Jupyter Notebook 1