Tag: Data Science

Forbes 30 Under 30 – Alumnus Prof. Srijan Kumar

IIT Kharagpur alumnus, Prof. Srijan Kumar has been included in Forbes 30 under 30 in Science,
Class of 2022!

Prof. Kumar is an Assistant Professor at the Georgia Institute of Technology. He is a specialist in
AI, ML, and Data Science. In his attempt to make the internet a safer place he is involved in
developing Data Science and Machine Learning solutions to combat fraudsters, trolls, and other
malicious entities. His research has influenced Twitter’s Birdwatch platform. It is also
implemented by Flipkart.

An alumnus of the 2013 batch from the Computer Science and Engineering Department of the
Institute, Prof. Kumar went on to pursue his Masters and a Ph.D. from the University of
Maryland, College Park.

He said that he is ever grateful to the teachers at the Computer Science Department. He specially
conveyed his gratitude to his mentor Prof. Partha Pratim Chakrabarti. He also thanked Prof. Niloy
Ganguly and Prof. Animesh Mukherjee for introducing him to Machine Learning and Data
Science.

Content Writer:- Arkaprabha Pal, Office of Alumni Affairs & Branding

Email: pal18arkaprabha@gmail.com

Online Workshop on Accelerated Data Science

The Centre for Computational and Data Science at IIT Kharagpur is organizing an Online Workshop on Accelerated Data Science in collaboration with NVIDIA Corporation, India and National Supercomputing Mission, C-DAC, Government of India, from February 21-22, 2021.

In the workshop, the state-of-art theory and technologies for accelerated machine learning, as well as deep learning algorithms, will be covered. Also, the fundamentals of GPU computing with an emphasis on machine learning and deep learning algorithms will be presented. Further, several technologies and platforms for GPU acceleration of these algorithms will be elaborated.

Topic List: 

Day 1:

  1. Fundamentals of GPU Architecture & CUDA 
  2. Introduction to Accelerated Data Science: RAPIDS
  3. Introduction to Machine Learning Algorithms
  4. Case Study/Hands-on: Solving and Benchmarking End to End Data Science Problem using RAPIDS 

Day 2:

  1. Introduction to Deep Neural Network & Deep Learning
  2. NVIDIA CUDA-X Platform Overview: Accelerated Computing for Deep Neural Networks
  3. Accelerating and Scaling Deep Neural Networks using DALI, Mixed Precision and Multi-GPU Scaling
  4. Optimizing and Deployment of Neural Networks using TensorRT & Triton Inference Server
Faculty members, Research Students, Advanced Masters and Undergraduate Students, Industry Professionals can Register for Free Registration Link: https://forms.gle/YKxv4iWbBbeZW8Pw8
Last Date of Registration: February 18, 2021

Mode of Conduction: The workshop will be held online using MS Teams.