Teaching

Philosophy: I believe teaching reciprocates knowledge, and it encourages one’s perspective to align with the audience. If the group is eclectic, the richer the experience, eventually leading to a better distillation of knowledge.

“The ultimate test of your knowledge is your capacity to convey it to another.”

– Richard Feynman

Service

I not only regard reviewing as a service, but it is also the responsibility of the researcher to ensure that the value added to the community is substantial and qualitative

I served as a reviewer for reputed journals such as IET Image Processing, Expert Systems with Applications, Personal Ubiquitous Computing, IET Computer Vision, Applied Intelligence, and IEEE Access. I’m also a peer reviewer for the LMRL Workshop at NeurIPS 2022 and IEEE altVIZ Workshop.

Skills and Interests

Programming:

  • Python
  • MATLAB

Frameworks:

  • Pytorch
  • Keras (Tensorflow)
  • NumPy
  • Scikit-Learn
  • SciPy
  • Matplotlib
  • Seaborn

Presentation:

  • Latex

Mathematics:

  • Topology
  • Geometry
  • Kernels
  • Manifolds

Biological Science:

  • Neurophysiology
  • Neurobiology

Computer Science:

  • Computer Vision
  • Neural Networks
  • Pattern Recognition

Field of Interests:

  • AI in Healthcare
  • Geometric Learning
  • Biologically Inspired Neural Networks

Advisors and Collaborators

  1. Prof. Bapi S Raju [2022 - present] Website
  2. Prof. Kiran Chakravarthula [2021 - present] Website
  3. Prof. Golla Madhu [2017 - 2022]
  4. Prof. D Srinivasa Rao [2018 - 2022]
  5. Prof. Nimmala Mangathayaru [2018 - 2021]
  1. Shilhora Akshay Patel [2018 - present] Website
  2. Rohit Boddeda[2018 - present]
  3. Mehul Arora [2023 - present]
  4. Chirag Shantilal Jain [2023 - present]
  5. Prantik Deb [2023 - present]
  6. Soham Saha [2024 - present]
  7. Sai Vardhan Kanumolu [2018 - 2022]
  8. Sai Mohan Gajapaka [2019 - 2021]
  9. Gnyanesh Bangaru [2022]