About the School

The ACM India Winter School on Edge AI will provide an in-depth overview of software platforms, hardware systems, and AI models and algorithms for efficient deployment on accelerated and classic edge devices. The program will cover topics suchs as edge computing architectures and accelerators, co-optimization techniques of edge systems and ML models for performance, power and accuracy, federated learning frameworks, and the deployment of AI, generative AI/LLM models and AI agents at the edge for practical and IoT applications suchs as smart mobility and smart agriculture. Through lectures, hands-on sessions, and expert talks, participants will gain practical skills to design, implement, and optimize intelligent edge systems for diverse real-world applications.

Key Topics

The winter school covers foundational and advanced aspects of Edge AI.

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Foundations of IoT, Accelerated Edge Computing and Edge AI

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Tiny and Embedded Machine Learning

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Model Optimization and Acceleration for Edge AI

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Edge AI Platforms, Frameworks, and Deployment Pipelines

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Federated Learning and Distributed Training for Edge Devices

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Neuromorphic Computing and Brain-Inspired Architectures

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Generative AI and LLM at the Edge

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Agentic AI on the Edge

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Security, Privacy, and Responsible AI in Edge Systems

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Benchmarking, Profiling, and Performance Evaluation of Edge AI Systems

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Edge AI for Drones/UAVs, IoT, Smart Cities, and Industrial Applications

🎀 Speakers



Keynote & Invited Speakers

Photo of Vijay Janappa Reddi

Vijay Janappa Reddi
Harvard University, USA

Photo of Sajal Das

Sajal Das
Missouri University of Science and Technology, USA

Photo of Varun Ojha

Varun Ojha
Newcastle University, UK

Photo of Archan Misra

Archan Misra
Singapore Management University

Photo of Prashant Shenoy

Prashant Shenoy
University of Massachusetts



Technical Session Speakers

πŸ“… Program



⏰ School Timing

The usual school timing is 8:00 AM to 8:00 PM on all days. Breakfast (8:00–9:00 AM), tea/coffee/snacks (morning and evening), lunch (12:45–2:00 PM), and dinner (7:00–8:00 PM) will be provided daily to all attendees. Participants are expected to arrive at the venue on time each morning.


πŸ“š Session Legend

  • πŸŽ‰ Opening/Closing
  • 🎀 Keynote / Invited Talk
  • πŸ‘¨β€πŸ« Lecture / Technical Talk
  • πŸ§ͺ Lab / Tutorial
  • 🏒 Industry
  • πŸ—ΊοΈ Tour
  • πŸ’» Hackathon
  • † Online Talk



Day 1 – Sunday, 28th Dec 2025 - Hardware Systems

TimeSpeakerTitle
8:45 – 9:00 AMPandarasamy Arjunan (IISc) and Yogesh Simmhan (IISc)Welcome Address
9:00 – 10:00 AMVijay Janappa Reddi (Harvard University)†Edge AI: Opportunities and Challenges
10:00 – 11:00 AMDr.Β TV Prabhakar (IISc)In-Network Edge Intelligence for Tactile CPS
11:00 – 11:15 AMTea/Coffee/Snacks
11:15 – 12:45 PMDr.Β TV Prabhakar (IISc)In-Network Edge Intelligence for Tactile CPS
12:45 – 2:00 PMLunch
2:00 – 3:30 PMPandarasamy Arjunan (IISc)Tiny ML
3:30 – 4:00 PMTea/Coffee/Snacks
4:00 – 5:30 PMPandarasamy Arjunan (IISc)Tiny ML
5:30 – 7:00 PMPandarasamy Arjunan (IISc)Tiny ML


Day 2 – Monday, 29th Dec 2025 - Hardware Systems

TimeSpeakerTitle
9:00 – 10:00 AMAdithya Krishna and Chetan Singh Takur (IISc)RAMAN: A Reconfigurable and Sparse tinyML Accelerator for Inference on Edge
10:00 – 11:00 AMGayathri Ananthanarayanan (IIT Dharwad)Architecting Efficient Edge AI Systems: From Accelerators to Runtime Adaptation
11:00 – 11:15 AMTea/Coffee/Snacks
11:15 – 12:45 PMGayathri Ananthanarayanan (IIT Dharwad)Architecting Efficient Edge AI Systems: From Accelerators to Runtime Adaptation
12:45 – 2:00 PMLunch
2:00 – 3:30 PMPandarasamy Arjunan (IISc)Embedded Computer Vision
3:30 – 4:00 PMTea/Coffee/Snacks
4:00 – 5:30 PMPandarasamy Arjunan (IISc)Embedded Computer Vision
5:30 – 7:00 PMPandarasamy Arjunan (IISc)Embedded Computer Vision


Day 3 – Tuesday, 30th Dec 2025 - Edge AI Platforms

TimeSpeakerTitle
9:00 – 10:00 AMYogesh Simmhan (IISc)ML Software Platforms
10:00 – 11:00 AMYogesh Simmhan (IISc)ML Software Platforms
11:00 – 11:15 AMTea/Coffee/Snacks
11:15 – 12:45 PMPrashanti (AMD)ML Software Platforms
12:45 – 2:00 PMLunch
2:00 – 3:30 PMYogesh Simmhan (IISc)ML on Edge Accelerators
3:30 – 4:00 PMTea/Coffee/Snacks
4:00 – 6:00 PMYogesh Simmhan (IISc)ML on Edge Accelerators
6:00 – 7:00 PMPrashant Shenoy (University of Massachusetts)†Data Centers, AI Workloads, and Efficiency: An Edge Systems Perspective


Day 4 – Wednesday, 31st Dec 2025 - Federated Learning

TimeSpeakerTitle
9:00 – 10:00 AMYogesh Simmhan (IISc)Federated Learning
10:00 – 11:00 AMYogesh Simmhan (IISc)Federated Learning
11:00 – 11:15 AMTea/Coffee/Snacks
11:15 – 12:45 PMYogesh Simmhan (IISc)FL on Edge
12:45 – 2:00 PMLunch
2:00 – 3:30 PMVarun Ojha (Newcastle University)†SafeguardingΒ Artificial Intelligence
3:30 – 4:00 PMTea/Coffee/Snacks
4:00 – 5:30 PMVarun Ojha (Newcastle University)†Resource-Efficient Artificial Intelligence
5:30 – 7:00 PMYogesh Simmhan (IISc)FL on Edge


Day 5 – Thursday, 1st Jan 2026 - Gen AI and Edge AI for mobility

TimeSpeakerTitle
9:00 – 10:00 AMSumit Kumar Mandal (IISc)LLM Algorithms
10:00 – 11:00 AMSumit Kumar Mandal (IISc)LLMs at Edge
11:00 – 11:15 AMTea/Coffee/Snacks
11:15 – 12:45 PMPrasant Misra (IISc & TCS)Edge AI in Mobility
12:45 – 2:00 PMLunch
2:00 – 3:30 PMPunit Rathore (IISc)Edge AI in Mobility
3:30 – 4:00 PMTea/Coffee/Snacks
4:00 – 5:30 PMPandarasamy Arjunan (IISc)Gen AI at Edge
5:30 – 7:00 PMPandarasamy Arjunan (IISc)Gen AI at Edge


Day 6 – Friday, 2nd Jan 2026 - Edge Analytics

TimeSpeakerTitle
10:00 – 11:00 AMManik Gupta (BITS, Pilani)IoT Analytics
11:00 – 11:15 AMTea/Coffee/Snacks
11:15 – 12:45 PMManik Gupta (BITS, Pilani)IoT Analytics
12:45 – 2:00 PMLunch
2:00 – 3:30 PMManik Gupta (BITS, Pilani)IoT Analytics
3:30 – 4:00 PMTea/Coffee/Snacks
4:00 – 5:30 PMMATLAB for Edge AI
5:30 – 6:30 PMRBCCPS Tour


Day 7 – Saturday, 3rd Jan 2026 - Edge AI in agriculture

TimeSpeakerTitle
9:00 – 11:00 AMAjay Pratap (IIT (BHU), Varanasi)UAV and Edge AI in Agriculture
11:00 – 11:15 AMTea/Coffee/Snacks
11:15 – 12:45 PMArchan Misra (SMU)Optimizing Edge Execution of AI-based Machine Perception
12:45 – 2:00 PMLunch
2:00 – 3:30 PMArm for Edge AI
3:30 – 4:00 PMTea/Coffee/Snacks
4:00 – 5:30 PMHackathon
5:30 – 7:00 PMHackathon


Day 8 – Sunday, 4th Jan 2026 - Hackathon

TimeSpeakerTitle
9:00 – 10:00 AMSajal Das (Missouri University of Science and Technology, USA)†Smart Connected Farms: AI and IoT-based Pest Management in Precision Agriculture
10:00 – 12:45 PMHackathon
12:45 – 2:00 PMLunch
2:00 – 3:30 PMHackathon Demo/Presentation
3:30 – 4:00 PMTea/Coffee/Snacks
4:00 – 5:30 PMHackathon Demo/Presentation
5:30 – 6:30 PMCertificate Distribution and Closing Ceremony


πŸ“ Venue & Logistics

This program is hosted at the CDS building, Indian Institute of Science (IISc), Bengaluru.


🧭 Location and Access (IISc Campus)

The IISc campus is easily accessible from all parts of Bengaluru. The nearest metro station is Yeshwanthpur.

CDS Building Venue Map


🏨 Accommodation Details

Accommodation has been arranged for participants at the following locations.

Girls’ Accommodation: Hoysala Guest House (IISc)

  • Address: Opposite NMR Research Centre (Next to CCE Building), Student Council Road, IISc Campus, Devasandra Layout Bengaluru, Karnataka 560012.
  • Reception Number: 08022932535

Boys’ Accommodation: Sri Durga Hotel

  • Address: 35/1, Gayathri Temple Rd, Dr.Ambedkar Nagar, Yeshawanthapura, Bengaluru, Karnataka 560022.
  • Phone Number: 09019158456

Contact Us

If you have any logistical or academic questions regarding the Winter School, please reach out to the program coordinators below.

  1. Pandarasamy Arjunan (IISc)

  2. Yogesh Simmhan (IISc)

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