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Akash Godbole

PhD student

I am a second-year Ph.D. student advised by Dr. Anil Kumar Jain in the Computer Science program at Michigan State University. My research interests include machine learning, biometrics, computer vision and natural language processing.

Education

  • Doctor of Philosophy (PhD) in Computer Science, Michigan State University

    • Expected Graduation : May 2026

    • Advisor : Dr. Anil Kumar Jain

  • Bachelor of Science (BS) in Computer Science, Michigan State University

    • Graduated with honors : May 2021

    • GPA : 3.9

Publications

  • Godbole, A., Grosz, S. A., Nandakumar, K., & Jain, A. K. (2022). On Demographic Bias in Fingerprint Recognition. arXiv preprint arXiv:2205.09318.

Experience

  • Graduate Research Assistant, Michigan State University ( 2021 - Present)

    • Advised by Dr. Anil Kumar Jain, conducting research in the fields of Biometrics, Pattern Recognition, Machine Learning, and Computer Vision

    • Actively publish research findings in reputed conferences and journals in related fields.

  • Graduate Teaching Assistant, Michigan State University (2021)

    • Assistant to Prof. Mark McCullen in the Michigan State University course on Computer Systems (CSE 325)

    • Conduct office hours to support student success.

  • Undergraduate Teaching Assistant, Michigan State University (2019 - 2021)

    • Assistant to Prof. Richard Enbody in the introductory course on computer programming (CSE 231)

    • Conduct a weekly interactive lab session with 25 students that included a brief presentation on the course material followed by prescribing a lab exercise to support student learning.

Projects

Some projects outside my research

  • Voice Assistant

    • A simple voice assistant built using open source NLP libraries.

    • Can do tasks such as fetching a youtube video by saying a keyword, announcing the weather and stock market related news retrieval.

  • Blob detection on cellular images:

    • Given an image of a group of cells, detect abnormalities among them based on discriminative characteristics such as size, color, etc.

  • Lidar-Camera Extrinsic Calibration:

    • Establish a universal coordinate system and perform extrinsic calibration across sensors mounted at different locations on an autonomous vehicle.

    • Use this algorithm for tasks such as object detection, lane detection, etc.

Experience

Skills

  • Technical skills

    • Python, C++, Matlab, JavaScript

    • Tensorflow, Pytorch

  • Professional skills

    • Public speaking

    • Mentoring

 

Contact
Information

Department of Computer Science,

Michigan State University

East Lansing, Michigan, USA.