| 2026 | DATE | FAQNAS: FLOPs-aware Hybrid Quantum Neural Architecture Search using Genetic Algorithm. | Muhammad Kashif, Shaf Khalid, Alberto Marchisio, Nouhaila Innan, Muhammad Shafique |
| 2026 | DATE | Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models. | Muhammad Shafique, Abdul Basit, Muhammad Abdullah Hanif, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Minghao Shao |
| 2026 | IOLTS | Trustworthy Neuromorphic and Quantum Machine Learning: Challenges and Emerging Directions. | Alberto Marchisio, Muhammad Shafique |
| 2025 | DAC | Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality? | Muhammad Kashif, Alberto Marchisio, Muhammad Shafique |
| 2025 | IJCNN | Noisy HQNNs: A Comprehensive Analysis of Noise Robustness in Hybrid Quantum Neural Networks. | Tasnim Ahmed, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique |
| 2025 | IJCNN | TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. | Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2025 | IJCNN | Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection. | Owais Ishtiaq Siddiqui, Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique |
| 2025 | IOLTS | Next-Generation Quantum Neural Networks: Enhancing Efficiency, Security, and Privacy. | Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique |
| 2025 | IOLTS | Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions. | Alberto Marchisio, Muhammad Shafique |
| 2025 | QCE | PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation. | Abdul Basit, Minghao Shao, Muhammad Haider Asif, Nouhaila Innan, Muhammad Kashif, Alberto Marchisio, Muhammad Shafique |
| 2025 | QCE | LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. | Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique |
| 2025 | QCE | Quantum Portfolio Optimization with Expert Analysis Evaluation. | Nouhaila Innan, Ayesha Saleem, Alberto Marchisio, Muhammad Shafique |
| 2024 | ICARCV | FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data Through Learning Rate Enhancements for Autonomous Embedded Systems. | Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique |
| 2024 | ICARCV | A Methodology to Study the Impact of Spiking Neural Network Parameters Considering Event-Based Automotive Data. | Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique |
| 2024 | ICARCV | Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. | Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique |
| 2024 | IJCNN | FedQNN: Federated Learning using Quantum Neural Networks. | Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai |
| 2024 | QCE | QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. | Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique |
| 2024 | QCE | Quantum Clustering for Cybersecurity. | Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique |
| 2024 | QCE | PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms. | Kamila Zaman, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique |
| 2023 | IJCNN | SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. | Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2023 | IJCNN | RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. | Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique |
| 2022 | IJCNN | CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. | Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique |
| 2022 | IJCNN | fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. | Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique |
| 2022 | IROS | LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. | Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2022 | ISLPED | Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. | Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2022 | VTS | Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. | Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique |
| 2021 | DATE | MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. | Alessio Colucci, Dvid Juhsz, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Gnther Nadbath, Axel Jantsch, Muhammad Shafique |
| 2021 | DATE | Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. | Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani |
| 2021 | ICCAD | Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. | Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif |
| 2021 | IJCNN | DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. | Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2021 | IJCNN | CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. | Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2021 | IROS | R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. | Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2020 | DAC | Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. | Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2020 | DATE | ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. | Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2020 | ICCAD | NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. | Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique |
| 2020 | IJCNN | FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. | Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique |
| 2020 | IJCNN | Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. | Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique |
| 2020 | IJCNN | An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. | Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique |
| 2020 | IJCNN | NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. | Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique |
| 2019 | DATE | CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. | Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2018 | IJCNN | PruNet: Class-Blind Pruning Method For Deep Neural Networks. | Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique |