Madan Baduwal

šŸ‡³šŸ‡µ(He/Him)

prof_pic.jpg

Belmont, CA

Hi there! Thanks for visiting my personal webpage. Iā€™m a dedicated and experienced Machine Learning Software Engineer. With a strong academic background in computer science and mathematics, combined with practical industry experience, I excel at utilizing engineering and machine learning techniques to generate actionable insights and create impactful solutions.

My research interests lie in Cognitive neuroscience, Data Structure and Algorithms, Deep Learning(Multimodal Learning, Generative AI, LLM), Computer Vision, Natural Language Processing,Software Engineering, and Robotics. In particular I am interested in reverse-engineering the human mind to build embodied machines that can see, listen, speak, learn, and interact with human-level cognition and social intelligence.

I am currently pursuing my Masterā€™s in Computer Science at The University Of Texas Permian Basin(UTPB), conducting research under Prof. Quan Yuan in machine learning and deep learning, particularly in transformer-based architectures and diffusion models.

I earned a BE in Computer Engineering at Tribhuvan University , under the direction of Sanjeev Prasad Panday.I am lucky to have opportunities to work with Mahabir Pun , Rabin Dhakal. If you are interested in discussing research, feel free to reach out via LinkedIn, or Twitter. You can also send me an email: madanbaduwal100@gmail.com.

news

Mar 15, 2023 Began working as an Orientation Leader at UTPB.
Mar 10, 2023 Joined as an Undergraduate Student Assistant Editor at UTPB.
Jan 16, 2023 Started working as a Graduate research assistant at UTPB. šŸ’
Jan 11, 2023 Started Master of Science in Computer Science at the UTPB. šŸŽ“
Aug 17, 2022 Started Life Long Learning.šŸ“–

latest posts

Dec 22, 2020 Covid-19 Detection
Dec 10, 2020 Python functions

selected publications

  1. SigV
    Signature Verification using Convolutional Neural Network and Autoencoder.
    Prakash Ratna Prajapati ,Ā Samiksha Poudel ,Ā Madan Baduwal , and 2 more authors
    Journal of the Institute of Engineering, 2021