CAS SEASONAL SCHOOL 2025
Circuitry Meets Intelligence: A Seasonal School on AI Hardware Design
DoubleTree by Hilton, Bengaluru Whitefield | 27th June, 2025
About the Seasonal School
The Seasonal School on Advanced Circuit Design for AI Workloads is a flagship initiative by the IEEE Circuits and Systems Society (CAS), Bangalore Chapter. This immersive event serves as a premier academic and industry-aligned forum spotlighting the critical role of advanced circuits in enabling next-generation AI systems.
As artificial intelligence workloads grow increasingly complex and compute-intensive, there is a pressing demand for high-performance, energy-efficient hardware. This Seasonal School addresses that challenge by convening circuit designers, AI system architects, researchers, and industry leaders to explore how cutting-edge circuit design is shaping the foundation of AI hardware.
Through a rich blend of expert keynotes, focused tutorials, practical workshops, and panel discussions, participants will dive deep into the design paradigms and technologies powering today’s intelligent systems. From low-power analog and mixed-signal circuits to memory bandwidth optimization and custom hardware accelerators, the school provides an in-depth learning experience with real-world relevance.
Event Sponsors
Organizers
Technical Partners
Tracks
Neuromorphic Memory Computing for AI
This track explores computing architectures inspired by the human brain, where memory and processing are co-located. It focuses on hardware implementations using neuromorphic principles to improve efficiency, speed, and energy consumption for AI applications.
Ferroelectric Devices for Emerging Memory
This track covers advancements in ferroelectric-based memory technologies, such as FeRAM and FeFETs. It emphasizes their potential for non-volatile, scalable, and energy-efficient memory solutions suitable for next-generation computing systems.
Low-Power Design for AI Workloads
This track addresses techniques and innovations in designing low-power hardware and systems that efficiently handle AI workloads. Topics include power-aware architectures, dynamic voltage/frequency scaling, and energy-efficient accelerators.
Evolution of Interface Protocol for AI
This track focuses on the development and optimization of high-bandwidth, low-latency interface protocols tailored for AI systems. It covers trends in interconnects, memory interfaces, and standards like CXL and HBM for improving AI system performance.
Event Highlights
Discover an insightful lineup of sessions dedicated to Advanced Circuit Design for AI Workloads. This summit provides a platform for industry professionals, speakers, and delegates to engage in meaningful discussions, explore technological advancements, and foster industry collaborations.
For Professionals
Gain insights into the latest trends, technologies, and innovations incutting-edge AI hardware design trends. The summit offers technical sessions, panel discussions, and product showcases tailored for industry professionals, students, and tech enthusiasts.
For Speakers
Share your expertise and knowledge on emerging topics in cutting-edge AI hardware design trends. Join an exclusive panel of experts, thought leaders, to discuss industry challenges, present research, and inspire the next generation of engineers.
For Delegates
Connect with industry peers, explore partnership opportunities, and engage in collaborative projects. The summit provides a space for business and technical delegates to network and build connections with like-minded professionals in memory and storage.
Chief Guest
Agenda
Mentorship Round (Round Table Discussion)
Mentorship sessions between students and industry leaders play a crucial role in bridging the gap between academia and the rapidly evolving semiconductor industry. These interactions provide students with valuable insights into real-world challenges, emerging technologies, and diverse career paths—extending far beyond AI-focused roles. By engaging directly with experienced professionals, students gain a clearer understanding of industry expectations, required skill sets, and growth opportunities in areas such as design, manufacturing, process technology, EDA tools, and embedded systems. Such sessions inspire the next generation of engineers, encourage innovation, and help build a stronger, more informed talent pipeline for the future of the semiconductor ecosystem.
Mentors
Registrations Now Open!
Join industry leaders and experts for a full day of insights and networking opportunities. Secure your place at the Seasonal School on Advanced Circuit Design for AI Workloads by registering on Explara.
₹1000
IEEE CAS Members
₹400
IEEE CAS Student Members
₹1500
IEEE Members
₹600
IEEE Student Members
₹2000
Non - IEEE Members
₹800
Non - IEEE Student Members
Join the next generation of innovators in AI hardware! The Seasonal School is open to postgraduate students, postdoctoral researchers, final-year B.Tech students, and industry professionals who are passionate about circuit design and AI systems.
Your registration includes access to keynotes, tutorials, networking sessions, and an official certificate of participation.
Spots are limited — secure your place early!
Benefits includes:
Welcome Kit
Participation Certificate
Knowledge
Networking
Glimpses from Previous Seasonal School
Organizing Committee
Meet the talented team behind the Seasonal School on Advanced Circuit Design for AI Workloads, a group of professionals dedicated to making this event a success.
Dr. Kiran A Gupta
Professor, DSCE
Publication Chair : eBook
Dr. Sarfraz Hussain
Assistant Professor, Reva University
Publication Chair : Audio
Kiran K R
Joint Secretary, IEEE CAS Bangalore Chapter
Publicity Chair
Daksh Pankaj Patel
Execom Member, IEEE YP Bangalore AG
Publicity Co-Chair
