AISS 2023

Join us for a three-day summer school hosted at Indraprastha Institute of Information Technology, Delhi. The rapid advancements in Artificial Intelligence are unveiling new frontiers and techniques that hold the potential to revolutionize our approach and provide innovative solutions to the challenges we face. This year's Artificial Intelligence Summer School (AISS 2023) will delve into the intriguing world of Data Aspects of Machine Learning. With a special emphasis on decentralization (federated) and efficiency (coreset) of data, we will explore cutting-edge concepts that reshape the landscape of AI. Prepare for an engaging experience filled with enlightening talks and stimulating discussions. We'll tailor the program based on the interests of the participants, ensuring a diverse range of topics covered. Don't miss out on this opportunity to expand your knowledge and connect with experts in the field. Stay tuned for more updates! #AISS2023 #CAISummerSchool #FederatedLearning #Coresets

Coreset

One of the prime focus areas in AISS 2023 would be coresets, which enables efficient processing and analysis of large datasets while capturing essential information in a compact form, revolutionizing data analysis.

Federated learning

The second focus area in AISS 2023 will be federated machine learning techniques that enable training models across decentralized devices or servers without directly accessing raw data, ensuring privacy and security.

Sponsored by

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Department of Telecommunications, Government of India

We are proud to have Department of Telecommunications, Government of India as our Platinum Sponsor!

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iHub Anubhuti-IIITD Foundation

We are proud to have iHub Anubhuti-IIITD Foundation as our Silver Sponsor!

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Google Research India

We are proud to have Google Research India as our Bronze Sponsor!

Keynote Talks

Engage in enlightening talks during the summer school, where experts share their knowledge and insights, fostering intellectual growth and stimulating discussions.

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Ganesh Ramakrishnan

Professor, Computer Science & Engineering, IIT Bombay

Ganesh Ramakrishnan is currently serving as an Institute Chair Professor at the Department of Computer Science and Engineering, IIT Bombay. His areas of research include human assisted AI/ML, AI/ML in resource constrained environments, learning with symbolic encoding of domain knowledge in ML and NLP, etc. More recently, he has been focusing his energy on organizing relevant machine learning modules for resource constrained environments into https://decile.org/. In the past, he has demonstrated the impact of such data efficient machine learning in applications such as Video Analytics and OCR and is seeking to make similar impacts in creating a machine translation eco-system and in multi-modal analytics. In the past, he has received awards such as IBM Faculty Award, and awards from Qualcomm, Microsoft as well as IIT Bombay Impactful Research Award. He also held the J.R. Isaac Chair at IIT Bombay. He has recently received the National Award for eGovernance (Gold Award)in 2022 under the Category "Outstanding research on Citizen Centric Services by Academic/Research Institution" from the Government of India for Video Analytics for Security and Compliance Applications. Ganesh is very passionate about boosting the AI research eco-system for India and toward that, the research by him and his students as well as collaborators has resulted in startups that he has either jointly founded, has transferred technology to, or is mentoring. Ganesh is also currently serving as the Professor-in-charge of the Koita Centre for Digital Health at IIT Bombay. Recently, owing to his leadership with the National Disease Modeling Consortium, he has been selected to be a disease and economic modelling expert member of Standing Technical Sub Committee (STSC) as well as an expert member of Standing Working Group – Immunization and Vaccine Research and Capacity Building (SWG-IVRCB) as part of NTAGI (National Technical Advisory Group on Immunization), Ministry of Health and Family Welfare, Govt of India.

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Anirban Dasgupta

Professor, Computer Science & Engineering, IIT Gandhinagar

Anirban Dasgupta is currently the N. Rama Rao Chair Professor of Computer Science & Engineering at IIT Gandhinagar. Prior to being at IIT Gandhinagar, he was a Senior Scientist at Yahoo Labs Sunnyvale. Anirban works on algorithmic problems for massive data sets, large-scale machine learning, analysis of large social networks, and randomized algorithms in general. He did his undergraduate studies at IIT Kharagpur and doctoral studies at Cornell University. He has received the Google Faculty Research Award (2015), the Cisco University Award (2016), the ICDT Best Newcomer Award (2016), and the Google India AI/ML Award (2020).

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Ketan Rajawat

Associate Professor, Electrical Engineering, IIT Kanpur

Ketan Rajawat received his B.Tech and M.Tech degrees in Electrical Engineering from the Indian Institute of Technology (IIT) Kanpur, India, in 2007, and his Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, MN, USA, in 2012. He is currently an Associate Professor in the Department of Electrical Engineering, IIT Kanpur. His research interests are in the broad areas of signal processing, robotics, and communications networks, with particular emphasis on distributed optimization and online learning. His current research focuses on the development and analysis of distributed and asynchronous optimization algorithms, online convex optimization algorithms, stochastic optimization algorithms, and the application of these algorithms to problems in machine learning, communications, signal processing, and smart grid systems. He is currently serving as an Associate Editor with the IEEE Transactions on Signal Processing. He is also the recipient of the 2018 INSA Medal for Young Scientists and the 2019 INAE Young Engineer Award.

Invited Talks

Join us for insightful invited talks at the Artificial Intelligence Summer School, where renowned experts will share their expertise and knowledge in the field of AI.

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Vishnu Ram OV

Independent Expert, India

Vishnu has hands-on experience in the field of Telecom industry for 25 years, developing and implementing standards, and holds 14 international granted patents. He is a senior member of IEEE, an active member of NWG13 (National Working Group 13) in India and a Vice Chair of ITU-T focus group on Autonomous Networks and co-convener of ITU-T Correspondence Group on datasets (cg dataset). He was nominated to Scientific Advisory Board Associate (SABA) member of Motorola Networks and was Senior Specialist (Radio Resource Management) – Nokia Networks. From 2018, he works as an independent researcher, is the co-editor of ITU-T Focus Group specifications on Machine learning in 5G. He is the curator of the in-person, ITU AI/ML in Communications workshop in Geneva on 05 July 2023 and the Discovery series of webinars under ITU AI4Good. His current work includes coordinating standards initiatives, liaisons with other SDOs, industry bodies, open source and academia, mentoring student projects and coordinating the ITU "AI/ML in 5G“ Challenge around the globe. He has served as a guest editor of JICTS (Journal of ICT Standardization) special Issues on Zero touch service management and in the editorial team for ITU Journal on Future and Evolving Technologies (ITU J-FET) special issues on AI/ML.

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Naveen Jakhar

ADG(AI&DIU), DoT

Naveen Jakhar is an officer of Indian Telecom Service 2014 Batch. He is currently working as Assistant Director General (Artificial Intelligence & Digital Intelligence Unit) in Department of Telecommunications Govt. of India and is responsible for formulation & implementation of AI & Digital Intelligence and Security related Policies, Cyber Threat Intelligence, IT Governance. He has been instrumental in taking number of initiatives involving AI based technological solutions including designing and implementation of ASTR solution for curbing the menace of fake SIMs, cyber-crime and financial frauds. In past he has been involved in designing& inventing CQAS geo-fencing solution for quarantine management for the fight against covid-19 pandemic, Oxygen Digital Tracking System (ODTS) for real time tracking of medical oxygen supply during deadly second wave of codvi-19 pandemic.

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Aditya Jain

Principal Data Scientist at Airtel Digital

Aditya Jain, an empathetic Principal Data Scientist at Airtel Digital, brings 14+ years of experience in Data Science and AI. With a diverse background, including stints at companies like United Airlines, American Express, and Cognizant, Aditya has honed his expertise across domains such as Telecom, Aviation, Financial Services, Operations, and Pharma Consulting working with a global outlook. Leading AI initiatives at Airtel, he and his team work on developing foundational capabilities for the Telecom industry focussing on Airtel’s obsession on customer experience as a key metric. Aditya's passion for knowledge fuels his love for reading Data Science articles, allowing him to stay at the forefront of technological advancements. Through his compassionate leadership, he fosters collaboration and human-centric values in data-driven landscapes.

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Avinash Agarwal

Deputy Director General, Telecommunication Engineering Centre, Dept. of Telecom, India

Mr. Avinash Agarwal is an Indian Telecom Service (ITS) Officer of the 1992 batch. He has almost 30 years of extensive experience in Telecommunications, Information Technology, and Broadcasting while serving in various positions in the Government of India. Presently, he is posted as Deputy Director General (Convergence & Broadcasting) at Telecommunication Engineering Centre (TEC), Department of Telecommunications, Ministry of Communications, Government of India. Previously, as Additional Director General (IT) at Prasar Bharati, India’s Public Sector Broadcaster, he headed various digital transformation initiatives for the twin networks of Doordarshan and All India Radio and also successfully delivered their Global Digital Platform and NewsOnAir Mobile App. This involved live streaming of 230+ radio channels, live TV, text news in multiple languages, podcasts, etc. He also served as State Head Haryana & Senior GM Bharat Broadband Network Limited for the roll-out of the BharatNet Project under the Digital India initiative for providing Optical Fibre Cable connectivity to 6000+ Gram Panchayats in Haryana. His research interests include ethical aspects of Artificial Intelligence. He is the Chairman of National Working Group-9 related to Broadband Cable and TV. He is also the Vice-Chair of National Working Group-3 related to Economic and Policy Issues of International Telecommunication. He also Chairs the Working Group on Anonymization of Data supported by the Ministry of Electronics & IT. He did his B.E. in Electronics & Communications from MNIT Jaipur in 1992 and M.Tech. in Computer Science & Technology from IIT Roorkee in 1994.

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Sandeep Kumar

Assistant Professor, Electrical engineering, IIT Delhi

Sandeep Kumar is an assistant professor in the Department of Electrical Engineering and School of Artificial Intelligence (ScAI) at the Indian Institute of Technology Delhi (IIT Delhi). He heads the Machine Intelligence Signals and Networks (MISN) lab at IIT Delhi. His current research focuses on graphical models, manifolds, semi-supervised learning, and large-scale optimization. He received his M.Tech and Ph.D. degrees from the Indian Institute of Technology (IIT), Kanpur, and completed his postdoc from the Hong Kong University of Science and Technology.

Lectures

Attend captivating lectures at the summer school, delivered by renowned experts, providing in-depth insights and enhancing your understanding of the subject matter.

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Supratim Shit

Assistant Professor, Computer Science & Engineering, IIIT Delhi

Dr. Supratim is an Assistant Professor at the Computer Science and Engineering Department of IIIT-Delhi, India. His research interest is scaling various supervised and unsupervised machine learning models such as regularized regression, clustering, and decision trees. He completed his Ph.D. in Computer Science and Engineering from IIT Gandhinagar, India, in 2021. He was a postdoc fellow at Technion and Haifa University, Israel, from 2021 to 2023. During his postdoc, he was also an integral part of the research team of DataHerores.

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B. N. Bharath

Assistant Professor, Electrical, Electronics and Communications (EECE) engineering, IIT Dharwad

B. N. Bharath did his Bachelors of Engineering (BE) in Electrical and Electronics from B. M. S. College of Engineering, Bengaluru in 2005. He completed his PhD degree from the Department of Electrical Communication Engineering (ECE) in 2013 in wireless communication. He worked as a senior engineer at Qualcomm Inc., Bengaluru from 2013 to 2014. He was a faculty in the electronics and communication engineering department at PES college of engineering, Bangalore south campus from 2014 to 2017. Since 2017, he has been working as an assistant professor in the department of Electrical, Electronics and Communications (EECE) engineering at IIT Dharwad. His interest is to conduct fundamental research in the areas of inference, learning and distributed optimization. Some of his work includes caching in cellular networks, federated learning, distributed stochastic optimization with applications to networks, and signal processing for communication problems.

Tutorial

Gain hands-on knowledge from the person whose team were part of core development team of Intel's popular federated learning framework OpenFL.

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Raghavendra Bhat

Principal Engineer, Intel Corporation

Raghavendra Bhat is a Principal Engineer at Intel Technology India Pvt. Ltd. He has a BTech in Computer Science from NIT Warangal and PGDBA (Finance) from Symbiosis Pune. He has over 23 years of industry experience spread across domains like Network Management, Embedded platform development for Mobile, IoT and Biometrics solutions. In his current role at Intel, he leads exploration in Healthcare and Retail space as part of Vertical Solutions and Services Group. In his role, the primary focus is on design, development and ecosystem adoption of optimized AI solutions on Intel AI portfolio with strong Speech, Language, Image and Video analytics requirements. Currently, a significant focus is on AI Training at the Edge where training methodologies like Federated Learning, Continuous Learning etc are used. He is on the ISO and BIS standardization panel of AI (LITD30). His interests extend to SW architecture methodologies, Blockchain and Aadhaar ecosystem where he has contributed towards Iris biometric device development and specifying device security requirements. As part of IEEE standards organization, he is leading the pre-standardization study for low resourced Indian languages. He has several patents and publications to his credit.

Open Problem Discussion

One of the highlights of AISS 2023 is the Open Problem Discussion session. This session will see intensive discussions on open problems in the area of this year's theme topics -- Federated Learning, Coresets, and intersection thereof. The participants will have opportunity to work in collaboration in the months following AISS 2023 with an aim to publish the novel results. During the discussion session, the participants will brainstorm on potentially publishable research ideas. The discussion will be collaboratively documented and published as a report.

This session will be of special interest for participating Ph.D., master's, and senior undergraduate students, who plan to apply to graduate programmes. In addition to the collaboration opportunities with leading researchers and faculty members, they will have a very good opportunity to be a co-author of the report that will have a significant potential to attract valuable quick citations.

About

The three-day summer school was initated at Center for Artificial Intelligence at Indraprastha Institute of Information Technology, Delhi. Advancements in Artificial Intelligence had been rapidly bringing new areas and techniques into prominence, each with the potential to change the way we do things and offer new solutions and insights to the problems we faced.

Accommodation

A limited number of rooms in the institute hostels are reserved for the participants. This is a low-cost option and is available on first-come-first-served basis. A participant will directly pay their accommodation cost to the hostel. Other options for accommodation are the guest house of the institute and the hotels close to the institute. Please contact us to book a hostel room or if you need support for other accommodation options.

Refund

After you pay the registration fee, you can send a request for cancellation of your registration to aiss@iiitd.ac.in in case you can not attend the summer school. You can also send a request for refund of the registration fee. A 100% refund will be issued if the request is received on or before July 10th, 2023. A refund of 50% of registration fee will be issued if the request is received on or before July 15th, 2023. Unfortunately, no refund will be possible if a registration is cancelled after July 15th, 2023.

Student Grants

A limited number of grants are available for participating Ph.D., masters, and undergraduate students. These grants will support a student with the following reimbursements:

  1. Registration fee: For this grant send a statement of purpose as given below.
  2. Registration fee and accommodation charges: For this grant send a statement of purpose and a recommendation letter as given below.
  3. Registration fee, accommodation charges, and travel expenses: Travel expenses will be for an AC 3 tier Rail Fare by the shortest route on outward and inward journey from the nearest railway station of the participant to New Delhi. For this grant send a statement of purpose and a recommendation letter as given below.

Your statement of purpose and recommendation letter should be sent to aiss@iiitd.ac.in with subject of email as "Student Grants". The deadline for receiving the documents is July 12th, 2023. No email after this deadline will be accepted. Notification of award of grants, if any, will be sent on July 15th.

Statement of Purpose

Write up to one page describing how participating in AISS 2023 will benefit you in your studies, thesis, or research. Mention your prior familiarity, if any, with the theme topics of the summer school. Particularly, write your motivation for participating in the Open Problem Discussion session.

Recommendation Letter

A recommendation letter in support of your statement of purpose can be written by either your thesis supervisor or your course instructor who would have taught you a course related to the theme topics of the summer school. Some relevant course can be Machine Learning, Deep Learning, Convex Optimization, etc.

Organizing Team

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Dr Debarka Sengupta

Center Head & Co-organizer

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Dr Bapi Chatterjee

Co-organizer

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Dr. Ranjitha Prasad

Co-organizer

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Dr. Raghava Mutharaju

Co-organizer

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Dr. Vinayak Abrol

Co-organizer

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Ms. Aayushi Shishodia

Event Secretary

Contact Us

aiss@iiitd.ac.in

Venue

A006, R&D Block
IIIT-Delhi, Okhla Phase 3, New Delhi 110020
Near Govindpuri Metro Station

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Questions?