Alessandro Montanari - Nokia Bell Labs

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个人简介

Alessandro Montanari received the master's degree (cum laude) in computer engineering from the University of Bologna, Italy, and the PhD degree in computer science from the University of Cambridge, U.K. He is currently a senior research scientist with Nokia Bell Labs, Cambridge, U.K. His current research interests include embedded systems, earables for vital signs sensing, and ultra-low power applied machine learning. He is committee member of leading mobile and sensor systems conferences and journals.

研究兴趣

论文共 46 篇作者统计合作学者相似作者

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Towards Enabling DPOAE Estimation on Single-Speaker Earbuds

Irtaza Shahid,Khaldoon Al-Naimi,Ting Dang, Yang Liu,Fahim Kawsar,Alessandro Montanari

IEEE International Conference on Acoustics, Speech, and Signal Processingpp.246-250, (2024)

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EarComp 2024: Fifth International Workshop on Earable Computing

Andrea Ferlini,Alessandro Montanari,Nirupam Roy, Xiaoran ''Van'' Fan,Longfei Shangguan

COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024pp.972-975, (2024)

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OptiBreathe: an Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring

Julia Romero,Andrea Ferlini,Dimitris Spathis,Ting Dang,Katayoun Farrahi,Fahim Kawsar,Alessandro Montanari

PROCEEDINGS OF THE 2024 THE 25TH INTERNATIONAL WORKSHOP ON MOBILE COMPUTING SYSTEMS AND APPLICATIONS, HOTMOBILE 2024pp.99-106, (2024)

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EarTune: Exploring the Physiology of Music Listening

Kayla-Jade Butkow,Andrea Ferlini,Fahim Kawsar,Cecilia Mascolo,Alessandro Montanari

COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024pp.644-649, (2024)

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Unobtrusive Air Leakage Estimation for Earables with In-ear Microphones

Berken Utku Demirel,Ting Dang,Khaldoon Al-Naimi,Fahim Kawsar,Alessandro Montanari

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologiesno. 4 (2023): 1-29

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SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices

Chulhong Min,Akhil Mathur,Utku Gunay Acer,Alessandro Montanari,Fahim Kawsar

ACM transactions on embedded computing systems（2023）

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Cancelling Intermodulation Distortions for Otoacoustic Emission Measurements with Earbuds

Berken Utku Demirel,Khaldoon Al-Naimi,Fahim Kawsar,Alessandro Montanari

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)

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EarSet: A Multi-Modal Dataset for Studying the Impact of Head and Facial Movements on In-Ear PPG Signals

Alessandro Montanari,Andrea Ferlini,Ananta Narayanan Balaji,Cecilia Mascolo,Fahim Kawsar

Scientific Datano. 1 (2023)

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EarComp 2023: Fourth International Workshop on Earable Computing

Andrea Ferlini,Alessandro Montanari,Nirupam Roy,Katayoun Farrahi

ADJUNCT PROCEEDINGS OF THE 2023 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING & THE 2023 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTING, UBICOMP/ISWC 2023 ADJUNCTpp.798-801, (2023)

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Stereo-BP: Non-Invasive Blood Pressure Sensing with Earables

Ananta Narayanan Balaji,Andrea Ferlini,Fahim Kawsar,Alessandro Montanari

HotMobilepp.96-102, (2023)

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