WORKSHOP AND CHALLENGES ON MACHINE INTELLIGENCE AND DEEP LEARNING (MIDL-2019)

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CSIR-Central Scientific Instruments Organisation and IEEE Student Branch, AcSIR-CSIO, Chandigarh are organizing a WORKSHOP on "MACHINE INTELLIGENCE AND DEEP LEARNING: AN INTERDISCIPLINARY PERSPECTIVE" and CHALLENGES on "DEMONSTRATION OF AI-BASED SOLUTIONS", (MIDL-2019).

About MIDL-2019:

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. The 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. 

THE EVENT COVERS:

>> WORKSHOP ON "MACHINE INTELLIGENCE AND DEEP LEARNING: AN INTERDISCIPLINARY PERSPECTIVE" SCHEDULED ON 21-22 MAY, 2019.

WHO CAN APPLY: Students, Researchers working in the interdisciplinary area, Faculties, Industry professionals

>> CHALLENGE ON "DEMONSTRATION OF AI-BASED SOLUTIONS" SCHEDULED ON 22 MAY, 2019.

WHO CAN APPLY: School and University Students, Project Fellows, Project Assistants 

Official Link: https://www.csio.res.in/midl2019/


  Date and Time

  Location

  Hosts

  Registration


  • Start time: 21 May 2019 04:30 AM UTC
  • End time: 22 May 2019 12:30 PM UTC
  • Add_To_Calendar_icon Add Event to Calendar
  • Contact Event Host
  • Javed Ahmad, Chair
    Mob: +91-8081353999
    Email: csioevents@csio.res.in, ieeesb.acsircsio@gmail.com

  Speakers

Dr. Udayan Ganguly of IIT Bombay

Topic:

TBD*

*To Be Declared

Biography:

Udayan Ganguly received the B.Tech. degree in Metallurgical Engineering from the IIT Madras, in 2000 and the M.S. and Ph.D. degrees in Materials Science and Engineering at Cornell University, Ithaca, NY, in 2005 and 2006 respectively. In 2006, Udayan joined Applied Materials to serve as the technical lead for Flash Memory Applications Development at Applied Materials’ Front End Product Division, Sunnyvale, CA. He has joined Dept. of Electrical Engineering in 2010. He has authored/ co-authored 45+ journal, 75+ conference and 25+ patents (applied/granted). His research interests are in semiconductor device physics and processing technologies for advanced memory, computing, and neuromorphic systems. He likes to experiment with teaching/learning methods like "Think-Pair-Share". He has contributed to the TIFAC National Vision for ICT 2035. He works to augment national semiconductor manufacturing capability at Semi-Conductor Labs, Chandigarh, for which he has won the Dr. PK Patwardhan Technology Development Award 2018.

Dr. Sudarshan Iyengar of IIT Ropar

Topic:

TBD

Biography:

Sudarshan Iyengar has a PhD from the Indian Institute of Science and is currently working as an assistant professor at IIT Ropar. His areas of interest include Crowd Computing, Social Computing, Complex networks, Algorithms, Cryptography, Graph theory. He is also offering an NPTEL course on Social Networks Course. 

He has been awarded the best paper prize in the annual international conference of the cognitive society held at Boston (2011). He proposed a mathematical model to analyse the strategy that humans adopt in learning to navigate in an unknown environment. He was also awarded the ‘young researcher’ grant  (2002-2003) at University of Mysore. As part of this project, he worked as a part time research assistant under Prof. Emeritus E. Sampathkumarachar on Graph labellings.

Email:





Agenda

1. Hands-on training of machine learning
2. Real-world application
3. Introduction to Machine Learning 
4. Live demonstration
5. Introduction to Deep Learning: CNN; RNN
6. Technical sessions by industry experts from NVIDIA and MATHWORK 
7. Challenge for Demonstration of AI-Based Solutions in various field Agriculture, Affordable healthcare, Defense applications, Education, Disaster Management, Smart city applications, Other related themes.


  Media

Felicitation of the Invited Guest Prof. SS Pattnaik, Invited Guest (Left), Prof. RK Sinha, MIDL Chair (Middle), Dr. HK Sardana, IEEE Branch counselor (Right) 642.47 KiB
Invited Speaker, Asst. Prof. SRS Iyengar A talk over the topic of "3 Great Ideas about Machine Learning" 577.42 KiB
Industrial Expert talk by KEYSIGHT Technologies 753.03 KiB
Students' Demonstration Jury interaction with students under "Challenge on Demonstration of AI based Solutions" 807.22 KiB
IEEE Student Branch AcSIR-CSIO team @MIDL 855.11 KiB
Group Photo of MIDL-2019 Attendees 1.13 MiB
Challenge Winners 763.03 KiB
Invited Speaker, Prof. Udayan Ganguly Talk on the topic of "Spiking neural networks: Nanoscale neurons and synapses using memristors to algorithms" 711.29 KiB