Short Course
on
Machine Learning
for Electron Devices

1-5 November 2022, IIT Roorkee

About The Event

About The Event

Five day residential program to learn various aspects of electron devices, emerging technologies and electronics device automation (EDA) while exploring the role of Machine Learning in shaping the future of the semiconductor industry.

When & Where

Tuesday to Saturday, 1-5 November 2022
Indian Institute of Technology (IIT) Roorkee, Uttarakhand

Key highlights

  • Lectures from leading experts on
    • various aspects of modern and emerging devices
    • various modeling techniques for efficient design and simulations
    • machine learning techniques: from basics to advanced
  • Hands-on tutorials for various EDA tools:
    • TCAD tools including atomistic simulations
    • Compact Modeling and parameter extraction
    • Machine learning based model development for various device applications
  • Excellent networking opportunity: participants get to showcase their work
  • UG Fellowships up to ₹ 10000/month for selected participants
  • Prize money up to ₹ 25000 for best student presentation(s)
  • Funding opportunity upto INR 40Lacs as start-up seed grant for selected ideas

Event Speakers

Tentative list of speakers

Speaker 1

Chenming Hu

TSMC Distinguished Professor Emeritus, UC Berkeley

Speaker 2

Madhavan Swaminathan

John Pippin Chair Professor, Geogia Tech.

Speaker 3

Sayeef Salahuddin

TSMC Distinguished Professor, UC Berkeley

Speaker 4

Yogesh S. Chauhan

Professor, IIT Kanpur

Speaker 3

Paolo Manfredi

Associate Professor, Polytechnico di Torino

Speaker 5

Riccardo Trinchero

Assistant Professor, Polytechnico di Torino

Speaker 6

Biplab Sarkar

Assistant professor, IIT Roorkee

Speaker 6

Harshit Agarwal

Assistant professor, IIT Jodhpur

Speaker 6

Shruti Mehrotra

GlobalFoundries, India

Speaker 6

Priyank Rastogi

Intel, India

Speaker 6

Chetan Gupta

Micron, India

Speaker 6

Sudeb Dasgupta

Professor, IIT Roorkee

Speaker 6

Anand Bulusu

Professor, IIT Roorkee

Speaker 6

Avirup Dasgupta

Assistant Professor, IIT Roorkee

Speaker 6

Sourajeet Roy

Assistant professor, IIT Roorkee

Speaker 6

Tanmoy Pramanik

Assistant professor, IIT Roorkee

Event Schedule

(Tentative)

Registration

Collect name tags and registration kits from the registration counter

Welcome

Sudeb

Semiconductor industry Prof. Sudeb Dasgupta

A review of the importance and the state-of-the-art in the semiconductor industry

Sudeb

Semiconductor device physics Prof. Sudeb Dasgupta

A review the basics of semiconductor device physics

Willow Trantow

Memory Technology Dr. Chetan Gupta

Industry perspective on memory technologies

Tea/Coffee break

Tanmoy

Emerging spintronic memory technologies Prof. Tanmoy Pramanik

An introduction to the various spintronic technologies for memory devices

Biplab

GaN HEMTs Prof. Biplab Sarkar

GaN HEMTs for RF applications: A modelling perspective

Lunch

Cadre design, Cogenda, GTS: TCAD Hands-on tutorial

Tea/Coffee break

Sayeef

Hardware Acceleration for EDA Prof. Sayeef Salahuddin

Hardware Acceleration of Hard Optimization Problems and Potential Application in EDA

Chenming Hu

BSIM industry standard compact models Prof. Chenming Hu

A review of the industry standard compact models and their development

Avirup

Compact model development of advanced devices Prof. Avirup Dasgupta

A detailed discussion about the process of developing a compact model

Tea/Coffee break

Yogesh

RF model development Prof. Yogesh S. Chauhan

An introduction to developing models for accurate RF simulations

Harshit

HV model developmentProf. Harshit Agarwal

An insight into the compact model development for high-voltage devices

Lunch

Anand

Device-circuit co-design Prof. Anand Bulusu

Considering FinFET extension regions in circuit design

Semiconductor landscape and industry perspective

A discussion session on the semiconductor landscape with people from Industry as well as Academia

Tea/Coffee break and Poster session

Swaminathan

Implications of ML for EDAProf. Madhavan Swaminathan

A discussions on the background of machine learning and its scope for enhancing EDA

Sourajeet

Applications of ML for devices and interconnects-I Prof. Sourajeet Roy

A detailed discussion about the using ML for semiconductor devices and interconnects

Lab session 1

Tea/Coffee break

Sourajeet

Applications of ML for devices and interconnects-II Prof. Sourajeet Roy

A detailed discussion about the using ML for semiconductor devices and interconnects

Paolo

Gaussian process regression Prof. Paolo Manfredi

Gaussian process regression and its application to the uncertainty quantification of electronic devices

Lunch

Riccardo

Application of SVM Prof. Riccardo Trinchero

Introduction to support vector machines and its applications

Lab session 2

Tea/Coffee break and Poster session

Sourajeet

ML for TCAD surrogatesProf. Sourajeet Roy

A discussions on the use of machine learning for creating surrogate models for TCAD

Avirup

ML augmented compact modeling Prof. Avirup Dasgupta

Use of machine learning for enhancing compact models

Tea/Coffee break

Keysight: Hands-on tutorial

Lunch

Lab session 3

Tea/Coffee break and Poster session

Gala dinner

Student presentations

Tea/Coffee break

Student presentations

Award and Fellowship announcements

Concluding remarks from organizers

Lunch




Fellowships

Exciting fellowship and funding opportunities for participants:

  • UG Fellowships up to ₹ 10000/month for selected student participants.

  • Prize money up to ₹ 25000 for best student presentation(s)

  • Start-up seed grant up to ₹ 40Lacs for selected startup ideas in the domain of artificial intelligence and cyber physical systems.

Event Venue

IIT Roorkee

IIT Roorkee

Indian Institute of Technology Roorkee (IIT Roorkee) is one of the oldest and one of the most prestigious institutes in India in the field of engineering and technology. The institute is celebrating its 175th year anniversary this year.

Accomodation

Hotel 1

Registration for in-person attendance is closed.

Accomodation details will be shared with registered participants.

All participants also get access to the gala dinner on 04 November 2022.

For any query, write to diraclabmled@gmail.com

Sponsors

Register

Registration for in-person attendance is closed

Virtual attendance: The step-by-step registration process is given below.

  • Step 1: Interested participants are requested to register below (non-refundable) for virtual attendance.
  • Step 2: Send the successful transaction receipt to diraclabmled@gmail.com. The email subject should be "MLED22 pre-registration".
*Supporting documents for in-person attendees:
  • Student participants only: Signed (Head of institution/ Dean/Head of dept. ) bonafide certificate [template]
  • Student participants only: Short description of your interest/research work (100 words max)
  • Startup funding applicants: Short description of your startup work/idea (100 words max)
Virtual
Closed

  • Lectures
  • Labs and demos (selected)
  • All lecture materials
  • Hands-on assistance
  • Registration kit
  • Poster presentations and prizes

In-person
Closed

  • All event access
  • Lecture materials
  • Registration kit
  • Prizes and Awards
  • Gala Dinner
  • Accomodation and food

Contact Us

For any query regarding the short course, feel free to write to us at diraclabmled@gmail.com.

Organizers

DiRac Lab, IIT Roorkee TIH, IIT Roorkee
  • Prof. Avirup Dasgupta, ECE, IIT Roorkee (Website)
  • Prof. Sourajeet Roy, ECE, IIT Roorkee (Website)

  • MLED'22 core team:
  • TIH IITR, Abhishek Kumar, Anamika Singh, Kumar Sheelvardhan, Mohammad Ehteshamuddin, Mohit Shukla, Prabhat Ranjan, Srishti and Swapna Sarker.