Control-Quality Driven Task Mapping for Distributed Embedded Control Systems. - Amir Aminifar; Soheil Samii; Petru Eles; Zebo Peng (RTCSA (1), 2011)

Designing High-Quality Embedded Control Systems with Guaranteed Stability. - Amir Aminifar; Soheil Samii; Petru Eles; Zebo Peng; Anton Cervin (RTSS, 2012)

Control-quality driven design of cyber-physical systems with robustness guarantees. - Amir Aminifar; Petru Eles; Zebo Peng; Anton Cervin (DATE, 2013)

Stability-aware analysis and design of embedded control systems. - Amir Aminifar; Petru Eles; Zebo Peng; Anton Cervin (EMSOFT, 2013)

Designing Bandwidth-Efficient Stabilizing Control Servers. - Amir Aminifar; Enrico Bini; Petru Eles; Zebo Peng (RTSS, 2013)

Bandwidth-efficient controller-server co-design with stability guarantees. - Amir Aminifar; Enrico Bini; Petru Eles; Zebo Peng (DATE, 2014)

Schedulability analysis of Ethernet AVB switches. - Unmesh D. Bordoloi; Amir Aminifar; Petru Eles; Zebo Peng (RTCSA, 2014)

Jfair: a scheduling algorithm to stabilize control applications. - Amir Aminifar; Petru Eles; Zebo Peng (RTAS, 2015)

Self-triggered controllers and hard real-time guarantees. - Amir Aminifar; Paulo Tabuada; Petru Eles; Zebo Peng (DATE, 2016)

Self-triggered controllers, resource sharing, and hard guarantees. - Amir Aminifar (EBCCSP, 2016)

Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications. - Rouhollah Mahfouzi; Amir Aminifar; Petru Eles; Zebo Peng; Mattias Villani (RTNS, 2016)

Analysis and Design of Real-Time Servers for Control Applications. - Amir Aminifar; Enrico Bini; Petru Eles; Zebo Peng (IEEE Trans. Computers, 2016)

Analysis, Design, and Optimization of Embedded Control Systems. - Amir Aminifar (2016)

Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices. - Dionisije Sopic; Amin Aminifar; Amir Aminifar; David Atienza (BioCAS, 2017)

A Patient-Specific Methodology for Prediction of Paroxysmal Atrial Fibrillation Onset. - Elisabetta De Giovanni; Amir Aminifar; Adrian Luca; Sasan Yazdani; Jean-Marc Vesin; David Atienza (CinC, 2017)

A Hierarchical Cardiac Rhythm Classification Methodology Based on Electrocardiogram Fiducial Points. - Dionisije Sopic; Elisabetta De Giovanni; Amir Aminifar; David Atienza (CinC, 2017)

Anomalies in scheduling control applications and design complexity. - Amir Aminifar; Enrico Bini (DATE, 2017)

Stability-aware integrated routing and scheduling for control applications in Ethernet networks. - Rouhollah Mahfouzi; Amir Aminifar; Soheil Samii; Ahmed Rezine; Petru Eles; Zebo Peng (DATE, 2018)

Self-Aware Wearable Systems in Epileptic Seizure Detection. - Farnaz Forooghifar; Amir Aminifar; David Atienza Alonso (DSD, 2018)

e-Glass: A Wearable System for Real-Time Detection of Epileptic Seizures. - Dionisije Sopic; Amir Aminifar; David Atienza (ISCAS, 2018)

Control-Quality-Driven Design of Embedded Control Systems with Stability Guarantees. - Amir Aminifar; Petru Eles; Zebo Peng; Anton Cervin; Karl-Erik Årzén (IEEE Des. Test, 2018)

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems. - Dionisije Sopic; Amin Aminifar; Amir Aminifar; David Atienza (IEEE Trans. Biomed. Circuits Syst., 2018)

Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors. - Grégoire Surrel; Amir Aminifar; Francisco J. Rincón; Srinivasan Murali; David Atienza (IEEE Trans. Biomed. Circuits Syst., 2018)

Optimization of Message Encryption for Real-Time Applications in Embedded Systems. - Amir Aminifar; Petru Eles; Zebo Peng (IEEE Trans. Computers, 2018)

Tailoring SVM Inference for Resource-Efficient ECG-Based Epilepsy Monitors. - Lorenzo Ferretti; Giovanni Ansaloni; Laura Pozzi 001; Amir Aminifar; David Atienza; Leila Cammoun; Philippe Ryvlin (DATE, 2019)

A Self-Learning Methodology for Epileptic Seizure Detection with Minimally-Supervised Edge Labeling. - Damian Pascual; Amir Aminifar; David Atienza (DATE, 2019)

Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices. - Victoriano Montesinos; Fabio Dell'Agnola; Adriana Arza 001; Amir Aminifar; David Atienza (EMBC, 2019)

Butterfly Attack: Adversarial Manipulation of Temporal Properties of Cyber-Physical Systems. - Rouhollah Mahfouzi; Amir Aminifar; Soheil Samii; Mathias Payer; Petru Eles; Zebo Peng (RTSS, 2019)

Synthetic Epileptic Brain Activities Using Generative Adversarial Networks. - Damian Pascual; Amir Aminifar; David Atienza; Philippe Ryvlin; Roger Wattenhofer (CoRR, 2019)

Resource-Aware Distributed Epilepsy Monitoring Using Self-Awareness From Edge to Cloud. - Farnaz Forooghifar; Amir Aminifar; David Atienza (IEEE Trans. Biomed. Circuits Syst., 2019)

Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm Rate. - Renato Zanetti; Amir Aminifar; David Atienza (EMBC, 2020)

Minimal Adversarial Perturbations in Mobile Health Applications: The Epileptic Brain Activity Case Study. - Amir Aminifar (ICASSP, 2020)

Universal Adversarial Perturbations in Epileptic Seizure Detection. - Amir Aminifar (IJCNN, 2020)

Noise-Resilient and Interpretable Epileptic Seizure Detection. - Anthony Hitchcock Thomas; Amir Aminifar; David Atienza (ISCAS, 2020)

Message from the Tutorial Co-Chairs. - Amir Aminifar; Shabbir Batterywala (VLSID, 2020)

Self-Aware Machine Learning for Multimodal Workload Monitoring during Manual Labor on Edge Wearable Sensors. - Giulio Masinelli; Farnaz Forooghifar; Adriana Arza 001; David Atienza; Amir Aminifar (IEEE Des. Test, 2020)

Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems. - Grégoire Surrel; Tomás Teijeiro; Amir Aminifar; David Atienza; Matthieu Chevrier (IEEE Des. Test, 2020)

Security-aware Routing and Scheduling for Control Applications on Ethernet TSN Networks. - Rouhollah Mahfouzi; Amir Aminifar; Soheil Samii; Petru Eles; Zebo Peng (ACM Trans. Design Autom. Electr. Syst., 2020)

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices. - Farnaz Forooghifar; Amin Aminifar; Tomás Teijeiro; Amir Aminifar; Jesper Jeppesen; Sándor Beniczky; David Atienza (AICAS, 2021)

Secure Cloud Control Using Verifiable Computation. - Rouhollah Mahfouzi; Amir Aminifar; Soheil Samii; Petru Eles; Zebo Peng (COINS, 2021)

Breaking Silos to Guarantee Control Stability with Communication over Ethernet TSN. - Rouhollah Mahfouzi; Amir Aminifar; Soheil Samii; Ahmed Rezine; Petru Eles; Zebo Peng (IEEE Des. Test, 2021)

EpilepsyGAN: Synthetic Epileptic Brain Activities With Privacy Preservation. - Damián Pascual; Alireza Amirshahi; Amir Aminifar; David Atienza; Philippe Ryvlin; Roger Wattenhofer (IEEE Trans. Biomed. Eng., 2021)

Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors. - Elisabetta De Giovanni; Adriana Arza Valdés; Miguel Peón-Quirós; Amir Aminifar; David Atienza (IEEE Trans. Emerg. Top. Comput., 2021)

Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems. - Saleh Baghersalimi; Alireza Amirshahi; Farnaz Forooghifar; Tomás Teijeiro; Amir Aminifar; David Atienza (CoRR, 2022)

A Self-Aware Epilepsy Monitoring System for Real-Time Epileptic Seizure Detection. - Farnaz Forooghifar; Amir Aminifar; Leila Cammoun; Ilona Wisniewski; Carolina Ciumas; Philippe Ryvlin; David Atienza (Mob. Networks Appl., 2022)

Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices. - Renato Zanetti; Adriana Arza 001; Amir Aminifar; David Atienza (IEEE Trans. Biomed. Eng., 2022)

Personalized Real-Time Federated Learning for Epileptic Seizure Detection. - Saleh Baghersalimi; Tomás Teijeiro; David Atienza; Amir Aminifar (IEEE J. Biomed. Health Informatics, 2022)

EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems. - Baichuan Huang; Renato Zanetti; Azra Abtahi; David Atienza; Amir Aminifar (AICAS, 2023)

Personalized Seizure Detection Using Spiking Neural Networks. - Xavante Erickson; Saeed Bastani; Amir Aminifar (COINS, 2023)

SafeDeep: A Scalable Robustness Verification Framework for Deep Neural Networks. - Anahita Baninajjar; Kamran Hosseini; Ahmed Rezine; Amir Aminifar (ICASSP, 2023)

Lightweight Machine Learning for Seizure Detection on Wearable Devices. - Baichuan Huang; Azra Abtahi; Amir Aminifar (ICASSP, 2023)

Verification-Friendly Deep Neural Networks. - Anahita Baninajjar; Ahmed Rezine; Amir Aminifar (CoRR, 2023)

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities. - Alireza Amirshahi; Anthony Hitchcock Thomas; Amir Aminifar; Tajana Rosing; David Atienza (IEEE J. Biomed. Health Informatics, 2023)

Privacy-Preserving Federated Interpretability. - Azra Abtahi; Amin Aminifar; Amir Aminifar (IEEE Big Data, 2024)

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems. - Alireza Amirshahi; Jonathan Dan; Jose Angel Miranda; Amir Aminifar; David Atienza (CHIL, 2024)

LightFF: Lightweight Inference for Forward-Forward Algorithm. - Amin Aminifar; Baichuan Huang; Azra Abtahi; Amir Aminifar (ECAI, 2024)

VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees. - Anahita Baninajjar; Ahmed Rezine; Amir Aminifar (ICML, 2024)

Lightweight Inference for Forward-Forward Algorithm. - Amin Aminifar; Baichuan Huang; Azra Abtahi; Amir Aminifar (CoRR, 2024)

MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots. - Alireza Amirshahi; Maedeh H. Toosi; Siamak Mohammadi; Stefano Albini; Pasquale Davide Schiavone; Giovanni Ansaloni; Amir Aminifar; David Atienza (CoRR, 2024)

Verified Relative Safety Margins for Neural Network Twins. - Anahita Baninajjar; Kamran Hosseini; Ahmed Rezine; Amir Aminifar (CoRR, 2024)

Privacy-preserving edge federated learning for intelligent mobile-health systems. - Amin Aminifar; Matin Shokri; Amir Aminifar (Future Gener. Comput. Syst., 2024)

DP-ACT: Decentralized Privacy-Preserving Asymmetric Digital Contact Tracing. - Azra Abtahi; Mathias Payer; Amir Aminifar (Proc. Priv. Enhancing Technol., 2024)

Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems. - Saleh Baghersalimi; Tomás Teijeiro; Amir Aminifar; David Atienza (IEEE Trans. Mob. Comput., 2024)

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems. - Saleh Baghersalimi; Alireza Amirshahi; Farnaz Forooghifar; Tomás Teijeiro; Amir Aminifar; David Atienza (ACM Trans. Intell. Syst. Technol., 2024)

TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning. - Baichuan Huang; Amir Aminifar (AAAI, 2025)

Towards Sustainable DevOps for Cyber Physical Systems. - Pushpa Priyanka Palesetti; Emelie Engström; Emma Söderberg; Al-Hussein Hameed Jasim; Andreas Bexell; Nikolaos Korkakakis; Amir Aminifar; Robert Lagerstedt; Pontus Olsson; Per Sigurdson; Markus Borg; Nadim Hagatulah; et al. (SIGSOFT FSE Companion, 2025)

Identification of Relevant ECG Features for Epileptic Seizure Prediction Using Interpretable Machine Learning. - Azra Abtahi; Philippe Ryvlin; Amir Aminifar (IEEE Access, 2025)

Binary Forward-Only Algorithms. - Baichuan Huang; Amir Aminifar (IEEE Des. Test, 2025)