Research output per year
Research output per year
Personal profile
Research
Amir Aminifar is an Assistant Professor (Biträdande Universitetslektor) in the Department of Electrical and Information Technology at Lund University, Sweden. He received his Ph.D. degree from the Swedish National Computer Science Graduate School (CUGS), Linköping University, Sweden, in 2016. During 2016-2020, he held a Scientist position in the Institute of Electrical Engineering at the Swiss Federal Institute of Technology (EPFL), Switzerland. His current research interests cover a wide range of topics, including Federated/Edge/Tiny/Energy-Efficient Machine Leanring, Trustworthy/Safe/Robust/Privacy-Preserving Machine Learning, Internet of Intelligent/Medical Things (IoT), as well as Medical/Health Informatics, Mobile-Health, and Wearable Technology.
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Collaborations and top research areas from the last five years
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DP-ACT: Decentralized Privacy-Preserving Asymmetric Digital Contact Tracing
Abtahi Fahliani, A., Payer, M. & Aminifar, A., 2023, (Accepted/In press) The 24th Privacy Enhancing Technologies Symposium (PETS).Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open AccessFile2 Downloads (Pure) -
EpilepsyNet: Interpretable Self-Supervised Seizure Detection for Low-Power Wearable Systems
Huang, B., Zanetti, R., Abtahi Fahliani, A., Atienza, D. & Aminifar, A., 2023 Apr 3, IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS). IEEE - Institute of Electrical and Electronics Engineers Inc.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
File67 Downloads (Pure) -
Lightweight Machine Learning for Seizure Detection on Wearable Devices
Huang, B., Abtahi Fahliani, A. & Aminifar, A., 2023, ICASSP, the International Conference on Acoustics, Speech, and Signal Processing 2023. IEEE - Institute of Electrical and Electronics Engineers Inc.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open AccessFile366 Downloads (Pure) -
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
Amirshahi, A., Thomas, A., Aminifar, A., Rosing, T. & Atienza, D., 2023, In: IEEE Journal of Biomedical and Health Informatics. 27, 1, p. 202 - 214 13 p.Research output: Contribution to journal › Article › peer-review
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Personalized Seizure Detection Using Spiking Neural Networks
Erickson, X., Bastani, S. & Aminifar, A., 2023, 2023 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2023. IEEE - Institute of Electrical and Electronics Engineers Inc.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
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Physical activity for secondary prevention of atrial fibrillation-Pilot study
Sandberg, F., Aminifar, A. & Platonov, P.
The Swedish Heart and Lung Association
2022/01/01 → 2023/12/31
Project: Research
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Privacy-Preserving Monitoring of COVID-19 Outbreak using Internet of Things (IoT) in Real Time
2020/09/01 → 2022/08/31
Project: Research