Optimizing event-based neural networks on digital neuromorphic architecture: a comprehensive design space exploration — Guangzhi Tang — Frontiers in Neuroscience — June 23, 2023

An AI Architecture for Power MOS Rds-on-Driven Lifetime Estimation — C. Pino, F. Rundo, C. Spampinato, S. Battiato — 2023 Smart Systems Integration Conference and Exhibition (SSI) — 2023, Brugge, Belgium

Energy-efficient Computation-In-Memory Architecture using Emerging Technologies — Bishnoi, R., Diware, S., Gebregiorgis, A., Thomann, S., Mannaa, S., Deveautour, B., Hamdioui, S. — IEEE International Conference on Microelectronics (ICM), Special session — December 2023, Abu Dhabi, UAE

Aidge: a new framework for DNN development, training and deployment on the Edge. — Chersi F. et al. — In Proceedings of the European Conference on EDGE AI Technologies and Applications (EEAI23) — October 17-19, 2023, Athens, Greece

A scalable and flexible interconnect-based dataflow architecture for Edge-AI inference. — Krichene H. et al. — In Proceedings of the European Conference on EDGE AI Technologies and Applications (EEAI23) — October 17-19, 2023, Athens, Greece

Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance — Windhager D., Moser B.A., Lunglmayr M. — Eurocast 2024 Conference — February 25-March 1, 2024, Las Palmas de Gran Canaria, Spain

SNN Architecture for Differential Time Encoding Using Decoupled Processing Time — Windhager D., Moser B.A., Lunglmayr M. — AICAS2024 Conference — April 22-25, 2024, Abu Dhabi, UAE

Uncertainty Estimation in Multi-Agent Distributed Learning for AI-Enabled Edge Devices — Gleb Radchenko, Victoria Fill — Proceedings of the 14th International Conference on Cloud Computing and Services Science (CLOSER) — May 2024

Bridging the Gap Between Models in RL: Test Models vs. Neural Networks — Lorber F., Tappler M. — IEEE International Conference on Software Testing, Verification and Validation, ICST 2024 - Workshops (ICSTW 2024) — May 27-31, 2024, Toronto, Canada

A dataflow architecture with distributed control for DNN acceleration — Krichene H. et al. — In Proceedings of the 13th Mediterranean Conference on Embedded Computing (MECO24) — June 11-14, 2024, Budva, Montenegro

Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery — P. Dell'Acqua, L. Carnevale, M. Fazio, M. Villari — IEEE DistInSys 2024: The 4th IEEE International Workshop on Distributed Intelligent — June 2024, Paris, France

ESAM: Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning — Lucas Huijbregts, Liu Hsiao-Hsuan, Paul Detterer, Said Hamdioui, Amirreza Yousefzadeh, Rajendra Bishnoi — ACM Design Automation Conference (DAC) — June 2024, San Francisco, USA

EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management — M. Colosi, M. Garofalo, L. Carnevale, R. Marino, M. Fazio, M. Villari — IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies — December 2023, Taormina, Messina, Italy

Dynamic Detection and Mitigation of Read-disturb for Accurate Memristor-based Neural Networks — Diware, S., M.A. Yaldagard, Gebregiorgis, A., Joshi, R. V., Hamdioui, S., Bishnoi, R. — IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) — April 22-25, 2024, Abu Dhabi, UAE

Reliable and Energy-efficient Diabetic Retinopathy Screening using Memristor-based Neural Networks — Diware, S., Chilakala, K., Joshi, R. V., Hamdioui, S., Bishnoi, R. — Journal: IEEE Access — March 2024

Multi-Partner Project: A Deep Learning Platform Targeting Embedded Hardware for Edge-AI Applications (NEUROKIT2E) - Rajendra Bishnoi, Mohammad Amin Yaldagard, Said Hamdioui, Kanishkan Vadivel, Manolis Sifalakis, Nicolas Daniel Rodriguez, Pedro Julian, Lothar Ratschbacher, Maen Mallah, Yogesh Ramesh Patil, Rashid Ali & Fabian Chersi.

TOOLS AND METHODOLOGIES FOR EDGE-AI MIXED-SIGNAL INFERENCE ACCELERATORS – Mateu Sáez María Loreto,  Leugering Johannes, Müller Roland, Patil Yogesh Ramesh, Mallah Maen, Breiling Marco, Pscheidl Ferdinand.

SCALING NVMS IN EVENT-DRIVEN ARCHITECTURES FOR EDGE INFERENCE — Junren Chen, Kanishkan Vadivel, Dawit Abdi, Priya Venugopal, Refik Bilgic, Giacomo Indiveri, Fernando Garcia Redondo, Dwaipayan Biswas — Asia Pacific Conference on Circuits and Systems (APCCAS) — November 2024

TRIP: TRAINABLE REGION-OF-INTEREST PREDICTION FOR HARDWARE-EFFICIENT NEUROMORPHIC PROCESSING ON EVENT-BASED VISION — Cina Arjmand, Yingfu Xu, Kevin Shidqi, Alexandra F. Dobrita, Kanishkan Vadivel, Paul Detterer, Manolis Sifalakis, Amirreza Yousefzadeh, Guangzhi Tang — International Conference on Neuromorphic Systems (ICONS) — July 2024

EON-1: A BRAIN-INSPIRED PROCESSOR FOR NEAR-SENSOR EXTREME EDGE ONLINE FEATURE EXTRACTION — Alexandra Dobrita, Amirreza Yousefzadeh, Simon Thorpe, Kanishkan Vadivel, Paul Detterer, Guangzhi Tang, Gert-Jan van Schaik, Mario Konijnenburg, Anteneh Gebregiorgis, Said Hamdioui, Manolis Sifalakis — IEEE Transactions on Circuits and Systems for Artificial Intelligence — November 2024

POSTER: CONTINUOUS OPTIMIZATION AND BENCHMARKING OF AI MODELS ON MICROCONTROLLERS: A TINYMLOPS FRAMEWORK FOR REAL-WORLD APPLICATIONS — Mattia Antonini, Massimo Vecchio, Fabio Antonelli — EEAI 24 Conference — July 2024

KNOWLEDGE DISTILLATION AND FEDERATED LEARNING FOR DATA-DRIVEN MONITORING OF ELECTRICAL VEHICLE LI-BATTERY (ISCC VERSION) — Pierluigi Dell’Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari — IEEE Symposium on Computers and Communications (ISCC) — July 2024

EDGE INTELLIGENCE ARCHITECTURE FOR DISTRIBUTED AND FEDERATED LEARNING SYSTEMS — Pierluigi Dell’Acqua, Lorenzo Carnevale, Massimo Villari — EdgeAI 2024 Conference — October 2024 (Chapter in book)

A SERVERLESS QUANTIZATION-AS-A-SERVICE MODEL TO RUN COMPRESSION JOBS FOR EDGE INTELLIGENCE — Danny De Novi, Pierluigi Dell’Acqua, Lorenzo Carnevale, Maria Fazio, Massimo Villari — Accepted at IEEE Symposium on Computers and Communications (ISCC) — 2025

C3CIM: CONSTANT COLUMN CURRENT MEMRISTOR-BASED COMPUTATION-IN-MEMORY MICRO-ARCHITECTURE — Yashvardhan Biyani, Rajendra Bishnoi, Theofilos Spyrou, Said Hamdioui — In Proceedings of Design Automation and Test in Europe (DATE) — March 2025

ADAPTIVE MULTI-THRESHOLD ENCODING FOR ENERGY-EFFICIENT ECG CLASSIFICATION ARCHITECTURE USING SPIKING NEURAL NETWORK — Sumit Diware, Yingzhou Dong, Mohammad Amin Yaldagard, Said Hamdioui, Rajendra Bishnoi — In Proceedings of Design Automation and Test in Europe (DATE) — March 2025

NEUROMORPHIC IOT ARCHITECTURE FOR EFFICIENT WATER MANAGEMENT — Mugdim Bublin, Heimo Hirner, Antoine-Martin Lanners, Radu Grosu — In Proceedings of European Conference on EDGE AI Technologies and Applications 2024 — Forthcoming (2025)