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Seyed Amir Hossein Aqajari

Seyed Amir Hossein Aqajari

PhD Candidate
Dept. of CS

Latest Publications

Mohammad Feli, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, and Pasi Liljeberg, "An energy-efficient semi-supervised approach for on-device photoplethysmogram signal quality assessment", Elsevier Smart Health Journal, 2023
Thomas D. Hughes, Ajan Subramanian, Rana Chakraborty, Shannon A. Cotton, Maria Del Pilar Giraldo Herrera, Yong Huang, Natalie Lambert, Melissa D. Pinto, Amir M. Rahmani, Carmen Josefa Sierra, and Charles A. Downs, "The effect of SARS-CoV-2 variant on respiratory features and mortality", Nature Scientific Reports, 2023

Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, and Marco Levorato, "Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings", IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHACE'23), 2023
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, and Amir M. Rahmani, "PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack", Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’23), 2023

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