Machine intelligence and deep learning: An interdisciplinary perspective

Machine learning in recent times has been at the forefront of technological advancements pushing the boundaries of many established ideas and beliefs in fields ranging from basic science to space technologies. This workshop walks you through the journey of practical machine intelligence and deep learning introducing the theoretical aspects followed by the practical applications and hands-on training. It is useful for students, researchers and faculty working in interdisciplinary areas.


  • Hands-on training of machine learning
  • Real world applications
  • Live demonstration
  • Technical sessions by industry experts


Topics to be covered with case studies and practical applications

  • Data pre-processing and visualization
  • Regression and classification models
  • Cross validation and model selection
  • Neural network theory and overfitting
  • Deep learning basics
  • CNN, RNN
  • Recommender systems
  • Deep Learning- Algorithm Development to Deployment


Basic mathematics and programming (preferably knowledge of Python and MATLAB)


Python and associated libraries


Bring your own laptop


Registration fee: INR 2000/- for students, INR 3,000/- for others (includes working lunch and snacks). Accommodation may be provided on request for additional charges (as per availability)

To encourage female participation, the discounted fee of INR 1500/- will be charged from female student candidates.

Target group: BTech, MTech students, PhD, faculty

A certificate of participation will be awarded to the participants

Registration Closed !





Keynote Speakers

Dr. Udayan Ganguly

Professor, Department of Electrical Engineering, IIT Bombay Neuromorphic Engineering Advanced Logic Device Engineering - FinFET devices - design, fabrication, characterization and modeling

Dr. Sudarshan Iyengar

Assistant Professor, IIT-Ropar social networks, crowdsourced knowledge building, and computational social sciences

Speakers (Industry)

Mr. Rishu Gupta

Sr. Application Engineer MathWorks

Mr. Mirta Nath Rath

Sr. Solution Architect NVIDIA


Dr. Amol P Bhondekar

Principal Scientist Machine learning and instrumentation

Dr. Ritesh Kumar

Senior Scientist Machine learning, olfaction, deep learning

Dr. Rishemjit Kaur

Senior Scientist Big data analysis, optimization, deep learning, computational social science

Ms. Aparna Akula

Senior Scientist Image processing, machine learning

Mr. Ripul Ghosh

Senior Scientist Image processing, machine learning

Mr. Deepak Sharma

Scientist Software Engineering, Wireless Sensor Networks, ICT Management

Mr. Suman Tewary

Scientist Image processing, machine learning

Technical and Website

Contact Us

Feel Free to contact us


CSIR-CSIO, Sector - 30 C, Chandigarh 160030 India

Phone Number

Mr. Javed Ahmad




Organising committee
Dr. Amol P Bhondekar
Dr. Ritesh Kumar
Dr. Rishemjit Kaur
Mrs. Aparna Akula
Mr. Ripul Ghosh
Mr. Suman Tewary
Mr. Deepak Sharma
Advisory Committee
Dr. R K Sinha, Director CSIR-CSIO
Dr. H K Sardana
Dr. Vinod Karar
Dr. Satish Kumar
Dr. Amol P Bhondekar
Dr. Surender Singh Saini
Mr. Dinesh Pankaj
Mr. A K Shukla
Mr. A K Shukla
Mr. Deepak Sharma
Mr. Amarendra Goap
Mr. Harbir Pal Singh
Mr. Mukesh Kumar
Mrs. Tarvinder Kaur
Ms. Jyotsana
Mr. Mehar Chand
Local Arrangements
Dr. N S Aulakh
Dr. Sudeshna Bagchi
Mr. Saurav Kumar
Mrs. Monika Singla
Mr. R. S. Shounda
Mrs. Anupma Sharma
Mr. Manu Sharma
Mr. Varun Saini
Mr. Wahid
Mrs. Ambika
Mr. Rounak Debnath
IEEE Student Branch, AcSIR-CSIO
Dr. H. K. Sardana (Branch Counselor)
List of Volunteers :
Ms. Anupma Thakur
Mr. Javed Ahmad
Mr. Vikash Shaw
Ms. Palwinder Kaur
Mr. Tarandeep Singh