CV

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Sandesh Katakam

If you think you have reached the peak of a mountain, then find a bigger mountain.

Education

• M.S. in Mathematics, IISER Berhampur, 2025(expected)
  • Thesis: Yet to be declared.
• B.S. in Mathematics, Indian Institute of Science Education and Research(IISER) Berhampur
  • Minor : Biology

Research Experience

• Research Intern, IISER Berhampur (Novemeber 2022 - Present):

  I am currently a research intern in Dr. Rahul Sharma’s LVQM Lab(Laboratory for Visualization of Quantum Materials) lab at IISER Berhampur Department of Physics. I am working on Denoising of STM(Scanning Tunneling Microscopy) Images using Deep Learning Techniques.

• Research Intern, IISER Berhampur (March 2022 - December 2022):

  I am currently a research intern in Dr.Vivek Tiwari’s NeuroImaging: Brain Research group. I am working on generating an efficient masking model for segmenting brain tumors and classifying the tumor into ET(Enhancing tumor), WT(Whole Tumor), and TC(Tumor Core).

• Summer research Intern, IIT Hyderabad (May 2022 - Present):

  I worked at IIT Hyderabad CS and A.I. Department under Prof. Srijith P.K. I worked on NeuralODEs for Irregularly sample Time-series data. We used variation of Heat equation as our Differential Equation to model the parameters of the Neural Network.GitHub Link

• Brain Tumor Segmentation Project (April 2022): I worked on Brain Tumor segmentation using U-Net and generating an effective mask for brain tumors. We reproduced the results from the paper “3D MRI BrainTumor Segmentation using Autoencoder regularization” by NVIDIA Labs. We are working on implementing NeuralODE model for Brain Tumor segmentation.

• Open Source Projects:
  • My Machine learning Library Project:

    Implemented basic Machine Learning Algorithms in Python from scratch using only Numpy and Pandas. Algorithms Implemented -Decision Tree, KNN, K-Means, Neural Network, Logistic Regression, Linear Regression.

Skills

Programming languages

                 

Scientific Computing and Machine Learning libraries and Frameworks

                     

Version Control and DevOps Tools

     

Web Devlopment Tools

               

Other Skills

     

Research interests

• Ordinary Differential equations/Partial Differential Equation and Stochastic processes.
• Scientific Machine learning, Physics-Informed NeuralNets and Neural ODEs.
• Optimization Methods, Numerical Analysis and Simulations
• Machine learning Algorithms and Deep Learning for Medical Research.
• Quantum computing/Information Theory and Quantum Machine learning.

Achievements:

• National graduate Physics Examintaion 2021:
  • Center Topper Certificate
• Qualified in JEE Advanced 2020:

Conferences, Talks and Summer Schools(Attendee):

• International Congress on Mathematical Physics:
  • Certificate
• SciML Con 2022(Scientific Machine learning Conference by Julia programming language): Attendee

MOOCs:

• Data Analysis with Python: Zero to Pandas.
• Machine learning
• Deep learning Specialization
• Mathematics for Machine Learning
• Introduction to Git and GitHub
• Algorithms Specialization

sandeshkatakam@gmail.com Hyderabad, INDIA.