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Neuromorphic Computing for Edge Intelligence
PReMI 2025, IIT Delhi
Neuromorphic Computing for Edge Intelligence - Workshop at PReMI 2025
Neuromorphic Computing for Edge Intelligence - Workshop at PReMI 2025
With AI’s rapid advancement, integrating AI into edge devices has become crucial for real-time, low-latency, and privacy-sensitive applications. Edge computing processes data near its source, while neuromorphic computing, inspired by the human brain, follows non von Neumann paradigm of computing and offers extremely power efficient edge solutions. The PReMI 2025 workshop on Neuromorphic Computing for Edge Intelligence aims to unite researchers, practitioners, and enthusiasts to explore energy-efficient signal analysis at the edge. By merging edge computing’s decentralized approach with neuromorphic systems, we can develop innovative solutions addressing scalability, energy efficiency, and adaptability challenges in AI edge deployments.
CALL FOR PAPERS
Neuromorphic Computing for Edge Intelligence
Neuromorphic Computing for Edge Intelligence
Co-located with PReMI 2025 | IIT Delhi, India | Half-Day Workshop
The Neuromorphic Computing for Edge Intelligence workshop invites original research contributions that explore the intersection of neuromorphic computing and edge AI. As edge devices demand real-time, low-power, and privacy-sensitive intelligence, neuromorphic systems—drawing inspiration from the human brain—offer a promising path forward. This workshop aims to bring together researchers, engineers, and practitioners to discuss scalable, energy-efficient, and adaptive solutions for edge intelligence.
Topics of Interest (include but are not limited to):
Topics of Interest (include but are not limited to):
Spiking Neural Networks (SNNs) and event-driven architectures
In-memory and non-von Neumann computing for edge
Neuromorphic hardware platforms (e.g., Intel Loihi, IBM TrueNorth, Brainchip Akida)
Signal processing and pattern recognition using neuromorphic systems
Edge analytics for auditory, visual, and physiological signals
Energy-efficient and low-latency AI for embedded systems
Interdisciplinary approaches combining neuroscience, AI, and hardware
Real-world applications in healthcare, smart cities, disaster response, and industrial automation
Tools, simulators, and benchmarks for neuromorphic edge systems
Ethical and inclusive AI at the edge
Target Audience
Target Audience
Researchers in neuromorphic computing, edge AI, and embedded systems
Engineers and developers working on low-power AI hardware and software
Practitioners deploying intelligent systems in constrained environments
Submission Guidelines
Submission Guidelines
Submit original, unpublished research papers (up to 8 pages, excluding references)
All submissions will be peer-reviewed by the program committee
Accepted papers will be published in Springer LNCS
Submission format: Follow the PReMI 2025 guidelines
Submission link: https://openreview.net/group?id=PReMI/2025/Workshop/NCEI
Key Dates:
Technical paper submission deadline: September 15, 2025 11:59PM IST
Notification of acceptance: October 15, 2025
Camera Ready deadline: October 31, 2025
Submission Guidelines
NCEI 2025 welcomes a wide range of contributions in the areas specified in the Call for Papers. When submitting a paper to NCEI 2025, authors are required to specify one or more keywords from the list of topics outlined in the CFP. The NCEI 2025 Program Committee will endeavour to facilitate the presentation of papers from contributors worldwide.
At least one author of each paper must register for PReMI 2025 as mentioned in the PReMI guidelines.
Submissions should follow the norms, templates and guidelines of PReMI 2025.
Reviews will be double-blind. Authors should maintain this during submission of the paper.
Workshop papers will be of 8 pages (maximum) and must use the template given by the conference organizers.
Papers will be submitted via OpenReview. Each author must create a profile at OpenReview for submissions. Please note that as per OpenReview policy, new profiles created without an institutional email will go through a moderation process that can take up to two weeks and new profiles created with an institutional email will be activated automatically.
Paper submission link: https://openreview.net/group?id=PReMI/2025/Workshop/NCEI
Organizing Committee
Organizing Committee
Manan Suri
Manan Suri
Prof. Manan Suri leads the Neuromorphic Hardware Research group at IIT-Delhi. Recognized by MIT Technology Review as one of the world’s Top 35 Innovators under 35, he has received numerous awards, including the IEEE EDS Early Career Award and the INAE Young Engineer’s Award. He has filed several patents, authored over 90 publications, delivered 70+ invited talks, and led multiple research projects. He has been a visiting scientist at CNRS, France, and has worked at NXP Semiconductors, Belgium, and CEA-LETI, France. He holds a PhD from INP-Grenoble, France, and Masters/Bachelors from Cornell University, USA.
Arijit Mukherjee
Arijit Mukherjee
Dr. Arijit Mukherjee, a Principal Scientist at TCS Research, specializes in embedding intelligence at the edge, focusing on low-power, low-latency computing and brain-inspired neuromorphic processing. After earning Bachelors and Masters degrees in Computer Science, Arijit worked in the software industry before joining Newcastle University, UK, where he worked as a lead researcher in several UK eScience projects contributing to the development of W3C standards for Web Services/SOA and the concept of Cloud. With a PhD in Grid Computing, he returned to Kolkata, worked in a telecommunications revenue assurance product company for three years before joining TCS Research in 2011. He currently leads research in Edge and Neuromorphic Systems. A Distinguished Scientist awardee at TCS Research, Arijit has 75+ publications and 50+ patents across multiple geographies.
Ayon Borthakur
Ayon Borthakur
Prof. Ayon Borthakur is an Assistant Professor at the Mehta Family School of Data Science and Artificial Intelligence, IIT Guwahati. Previously, he served as an Assistant Professor in the Department of Artificial Intelligence at IIT Hyderabad. Before his academic appointments, Ayon worked at Innatera Nanosystems in the Netherlands as a Senior Neuromorphic Engineer-Machine Learning. At Innatera, he focused on integrating deep learning with analog computing for ultra-low power and latency radar target recognition, leading to multiple patent applications. He completed his Ph.D. at Cornell University, USA, where he researched neuroscience-inspired Artificial Intelligence for learning in the wild, particularly its implementation in neuromorphic chips such as Intel Loihi. His Ph.D. work contributed to an international patent sponsored by Cornell. Ayon earned his Bachelor of Technology in Electrical Engineering from IIT Dhanbad.
Sounak Dey
Sounak Dey
Sounak Dey is a Senior Scientist at TCS Research, India, and the principal investigator of the Neuromorphic Computing research group. His research focuses on theoretical and algorithmic improvements in spike encoding and learning mechanisms, as well as exploring the applicability of Neuromorphic Computing in various industry use cases. Sounak holds an MCA from Birla Institute of Technology, Mesra, and is currently pursuing his PhD from Jadavpur University, Kolkata. He is a member of IEEE and ACM India, with over 40 international publications and 15+ granted patents across different geographies. Sounak was a tutor on neuromorphic computing at ICASSP 2023 and has been part of the organizing committees of various workshops at other venues.
Venue
Venue
IIT Delhi
IIT Delhi
Hauz Khas, New Delhi-110016, INDIA
Indian Institute of Technology Delhi is one of the 23 IITs created to be Centres of Excellence for training, research and development in science, engineering and technology in India. Established as College of Engineering in 1961, the Institute was later declared as an Institution of National Importance under the “Institutes of Technology (Amendment) Act, 1963” and was renamed as “Indian Institute of Technology Delhi”. It was then accorded the status of a Deemed University with powers to decide its own academic policy, to conduct its own examinations, and to award its own degrees. Since its inception, over 60000 have graduated from IIT Delhi in various disciplines including Engineering, Physical Sciences, Management and Humanities & Social Sciences. Of these, nearly 5070 received Ph.D. degrees. The number of students who graduated with B.Tech. degree is over 15738. The rest obtained Master’s Degree in Engineering, Sciences and Business Administration. These alumni today work as scientists, technologists, business managers and entrepreneurs. There are several alumni who have moved away from their original disciplines and have taken to administrative services, active politics or are with NGOs. In doing so, they have contributed significantly to building of this nation, and to industrialization around the world.
Indian Institute of Technology Delhi is one of the 23 IITs created to be Centres of Excellence for training, research and development in science, engineering and technology in India. Established as College of Engineering in 1961, the Institute was later declared as an Institution of National Importance under the “Institutes of Technology (Amendment) Act, 1963” and was renamed as “Indian Institute of Technology Delhi”. It was then accorded the status of a Deemed University with powers to decide its own academic policy, to conduct its own examinations, and to award its own degrees. Since its inception, over 60000 have graduated from IIT Delhi in various disciplines including Engineering, Physical Sciences, Management and Humanities & Social Sciences. Of these, nearly 5070 received Ph.D. degrees. The number of students who graduated with B.Tech. degree is over 15738. The rest obtained Master’s Degree in Engineering, Sciences and Business Administration. These alumni today work as scientists, technologists, business managers and entrepreneurs. There are several alumni who have moved away from their original disciplines and have taken to administrative services, active politics or are with NGOs. In doing so, they have contributed significantly to building of this nation, and to industrialization around the world.
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