Delighted to share our comprehensive project at @Dartmouth🎓: continuously tracking 200+ students across their entire 4 college years, resulting in the most extensive mobile sensing study of its kind ever conducted!📷 home.dartmouth.edu/news/2024/03/s… From day-to-day activities to the

Dartmouth 🌲 Link to the paper: dl.acm.org/doi/10.1145/36… Shout out to all the authors: Wenjun Liu, Arvind Pillai, Weichen Wang, Vlado Vojdanovski, Jeremy Huckins, Courtney Rogers, Meghan Meyer and Andrew T. Campbell

How powerful is #AI-mediated journaling shaped by behavioral sensing data? 🤔 We're exploring #LLM + mobile-captured behaviors to personalize journaling for student #wellbeing. I'll be presenting this work at #CHI2024 LBW!🚀#MentalHealth 📜arxiv.org/abs/2404.00487

🧐Are you working on ML fairness, robustness, ethics, and their impact on high-stakes applications in ubicomp and sensing?✨Excited to announce the 2nd FairComp workshop at @UbiComp 2024! Building on the success of the workshop last year, we are planning an exciting program with

Excited to share my Microsoft Research internship work, now published in #CSCW2024! I had the opportunity to lead research that highlights the critical issue of burnout among security incident responders - our frontline heroes against cyber threats! 📜microsoft.com/en-us/research…

Thrilled to share a personal milestone: I've successfully defended my PhD thesis!

Excited to attend #CHI2024 and present our work (Subigya Nepal) Moodcapture on Wednesday morning (programs.sigchi.org/chi/2024/progr…). If you're interested in the intersection of mental health and AI research or just want to hang out. Come say hi!

TODAY at #CHI2024! We're presenting two innovative works on #MentalHealth and AI:  1️⃣ “Wellbeing and Mental Health" session (9:45 AM): Arvind Pillai will share our research on using in-the-wild smartphone facial images to detect depression.  2️⃣ Late-breaking work (10:20 AM

On the eve of #WorldMentalHealthDay, congratulations to my advisor Andrew T. Campbell (Andrew T. Campbell) & co-authors for the seminal StudentLife paper winning the #UbiComp 10-year impact award! This pioneering work on student mental health using smartphones continues to inspire.

Congratulations to Dartmouth 🌲 professor Andrew Campbell and his collaborators on winning the UbiComp 10-year impact award! Their 2014 StudentLife study was the first to use smartphone sensors to assess the stress and strain of college life. #Ubicomp2024

Building robust ML models for mental health is a critical challenge. Toward this goal, I presented my work at #Ubicomp2024 this week. Check out the paper here: dl.acm.org/doi/abs/10.114…

We’re excited to announce the recipient of the #UbiComp2024 10-Year Impact Award! 🎉 Congrats to professor Andrew T. Campbell and his collaborators for their impactful work—🏆 StudentLife, pioneering the integration of mental health research with mobile data mining! 👏

Giving a talk at IIT Madras on October 22.

Feel free to drop me a line via email (you can find details here: mmalekzadeh.github.io) To discover more about our work, please visit the link below: bell-labs.com/research-innov…

🦜PaPaGei: an open foundation models for the most widely used biosignal🦜 It is pre-trained on over 57,000 hours of PPG signals (like those from smartwatches & pulse oximeters) from publicly available sources. Paper: arxiv.org/abs/2410.20542 Models/code: github.com/nokia-bell-lab…

Great news from Vancouver, happy to share that 🦜PaPaGei received the 🏆 Best Paper Award at the Time Series in the Age of Large Models (TSALM) workshop in #NeurIPS2024! Huge congratulations to Arvind Pillai and the team. Stay tuned for the v2 of the paper with more results.