Publications

Journal papers

• Shakibhamedan, Salar, Amin Aminifar, Nima Taherinejad, Axel Jantsch. “EASE: Energy Optimization through Adaptation – A Review of Runtime Energy-Aware Approximate Deep Learning Algorithms.” TechRxiv, 2024. DOI: 10.36227/techrxiv.170723230.09169589/v1
• Traunmueller, Peter, Anice Jahanjoo, Soheil Khooyooz, Amin Aminifar, Nima TaheriNejad. “Wearable Healthcare Devices for Monitoring Stress and Concentration Level in Workplace Environments.” arXiv 2406.05813, 2024.
• Amin Aminifar, Matin Shokri, Amir Aminifar. “Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems.” In Future Generation Computer Systems, 2024.
• Amin Aminifar, Shokri, Matin, Rabbi, Fazle, Pun, Violet Ka I, Lamo, Yngve. “Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data.” IEEE Access, 2022.
• Lamo, Yngve, et al. “Towards adaptive technology in routine mental health care.” DIGITAL HEALTH, 2022.
• Nordgreen, Tine, et al. “Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health.” Journal of Enabling Technologies, 2021.
• Shokri, Matin, Khasteh, Seyed Hossein, Amin Aminifar. “Adaptive Fuzzy Watkins: A New Adaptive Approach for Eligibility Traces in Reinforcement Learning.” International Journal of Fuzzy Systems, 2019.
• Sopic, Dionisije, Amin Aminifar, Aminifar, Amir, Atienza, David. “Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems.” IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2018.

Conference papers

• Abtahi, Azra, Amin Aminifar, Amir Aminifar. “Privacy-Preserving Federated Interpretability.” In IEEE Big Data, 2024.
• Amin Aminifar, Baichuan Huang, Azra Abtahi, Amir Aminifar. “LightFF: Lightweight Inference for Forward-Forward Algorithm.” In 27th European Conference on Artificial Intelligence, 2024.
• Shakibhamedan, Salar, Amin Aminifar and Luke Vassallo and Nima TaheriNejad. “Harnessing Approximate Computing for Machine Learning.” IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2024.
• Khooyooz, Soheil, Jahanjoo, Anice, Amin Aminifar, TaheriNejad, Nima. “A Novel Machine-Learning-Based Noise Detection Method for Photoplethysmography Signals.” 2024 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2024.
• Amin Aminifar, Khooyooz, Soheil, Jahanjoo, Anice, Shakibhamedan, Salar, TaheriNejad, Nima. “RecogNoise: Machine-Learning-Based Recognition of Noisy Segments in Electrocardiogram Signals.” IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
• Jahanjoo, Anice, TaheriNejad, Nima, Amin Aminifar. “High-Accuracy Stress Detection Using Wrist-Worn PPG Sensors.” IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
• Amin Aminifar, Rabbi, Fazle, Pun, Ka I, Lamo, Yngve. “Privacy preserving distributed extremely randomized trees.” Proceedings of the 36th Annual ACM Symposium on Applied Computing, 2021.
• Amin Aminifar, Rabbi, Fazle, Lamo, Yngve. “Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties.” ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
• Amin Aminifar, Rabbi, Fazle, Pun, Violet Ka I, Lamo, Yngve. “Diversity-Aware Anonymization for Structured Health Data.” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
• Amin Aminifar, Rabbi, Fazle, Pun, Violet Ka I, Lamo, Yngve. “Monitoring Motor Activity Data for Detecting Patients’ Depression Using Data Augmentation and Privacy-Preserving Distributed Learning.” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
• Forooghifar, Farnaz, Amin Aminifar, Teijeiro, Tomas, Aminifar, Amir, Jeppesen, Jesper, Beniczky, Sandor, Atienza, David. “Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices.” 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021.
• Amin Aminifar, Lamo, Yngve, Pun, Ka I, Rabbi, Fazle. “A Practical Methodology for Anonymization of Structured Health Data.” 2019 17th Scandinavian Conference on Health Informatics (SHI), 2019.
• Sopic, Dionisije, Amin Aminifar, Aminifar, Amir, Atienza, David. “Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices.” 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2017.

Workshop papers

• Shakibhamedan, Salar, Anice Jahanjoo, Amin Aminifar, Nima Amirafshar, Nima TaheriNejad, Axel Jantsch. “An Analytical Approach to Enhancing DNN Efficiency and Accuracy Using Approximate Multiplication” Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ICML), 2024.

Chapters in scientific books

• Mukhiya, Suresh Kumar, Amin Aminifar, Rabbi, Fazle, Pun, Violet Ka I, Lamo, Yngve. “Artificial Intelligence in Mental Health.” Artificial Intelligence: Models, Algorithms and Applications, 2021.

Other publications

• Amin Aminifar. “Privacy-Preserving Machine Learning and Data Sharing in Healthcare Applications.” Ph.D. Thesis, 2022.