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Mo𝗵𝗮𝗺𝗺𝗮𝗱 Malekzadeh @mo-malekzadeh.bsky.social · 23/01/2025

Accepted to @iclr-conf.bsky.social PaPaGei: Open Foundation Models for Optical Physiological Signals For those working at intersection of machine learning and physiological insights in healthcare. Credits to @arvindpillai.bsky.social, Dimitris Spathis, and Fahim Kawsar. github.com/Nokia-Bell-L...

github.com

GitHub - Nokia-Bell-Labs/papagei-foundation-model: PaPaGei: Open Foundation Models for Optical Physiological Signals

PaPaGei: Open Foundation Models for Optical Physiological Signals - Nokia-Bell-Labs/papagei-foundation-model

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Mo𝗵𝗮𝗺𝗺𝗮𝗱 Malekzadeh @mo-malekzadeh.bsky.social · 16/12/2024

Congratulations to @arvindpillai.bsky.social and our team for receiving the Best Paper Award at the #NeurIPS workshop on Time Series in the Age of Large Models! PaPaGei: Open Foundation Models for Optical Physiological Signals * Arxiv: arxiv.org/abs/2410.20542 * Code: github.com/nokia-bell-l...

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Mo𝗵𝗮𝗺𝗺𝗮𝗱 Malekzadeh @mo-malekzadeh.bsky.social · 05/12/2024

To PhD & MSc students Research Internship — Nokia Bell Labs, Cambridge, UK! Three topics for summer 2025: (1) Wearable Intelligence for MedTech (2) Sensory Wearables for MedTech (3) Wearable Systems for MedTech Apply: 👇 www.linkedin.com/posts/fahimk...

linkedin.com

Fahim Kawsar on LinkedIn: #wearables #medtech #healthtech #edgeai #mobilesystems #iot

The moment has arrived once again—a call to future rockstars! If you’re someone who loves to imagine, tinker, build, and even break things in the name of…

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Mo𝗵𝗮𝗺𝗺𝗮𝗱 Malekzadeh @mo-malekzadeh.bsky.social · 15/11/2024

💫 Job ad: Research Scientist for Healthcare with Wearables Share with PhD candidates skilled in machine learning for time-series data, with publications in ML for wearable/mobile devices, eager to relocate to Cambridge, UK, and excited to join Bell Labs! More details: mmalekzadeh.github.io

mmalekzadeh.github.io

Mohammad Malekzadeh | About

Senior Researcher and Tech Lead at Bell Labs working on Machine learning for personal data and devices: multimodal, private, and efficient!

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