HABits Lab (Prof. Nabil Alshurafa's Lab at NU)
@HAbitsLab
Dr. Nabil Alshurafa directs Northwestern University's Health Aware Bits (HABits) Lab Rewriting how we study human behavior through sensors!
NEW: "More accurate fitness tracking for people with obesity" A fantastic piece by @KSamChi of Northwestern Now about our recent work on wearable fitness tracking algorithms! S/O to Lab members Boyang Wei, @CdotRomano, Bonnie Nolan, @MahdiPedram91 !! news.northwestern.edu/stories/2025/0…
"New Wearable Algorithm Improves Fitness Tracking in Obesity" - a new article by @Medscape on our recent research in wrist-based energy estimation! S/O HABits Lab team who worked on this project: Boyang Wei, @CdotRomano, Bonnie Nolan, @MahdiPedram91! medscape.com/viewarticle/ne…
"RFK Jr. wants everyone to use wearables. What are the benefits, risks?" by @ABC A timely piece about @SecKennedy's recent endorsement of wearable health technologies—including an interview with yours truly! Are wearables for everybody? Read more here! abcnews.go.com/Health/rfk-jr-…
Happy to see @BehavioralMed doing some good things for the environment at #SBM2025 with a plant-based food day and eco-friendly activities!
I'm at San Francisco attending #sbm2025 @BehavioralMed. Come check out our panel discussion at titled: Everybody Eats: Selecting from the buffet of technology-enhanced dietary assessment options! Posters, Live Research Spotlight, and more today and tomorrow! Come say hi!
Excited to share our latest paper on HabitSense: a privacy-aware, AI-enhanced multi-modal wearable platform that detects health-risk behaviors 📷🌿 Read on for key insights! 👇 #mHealth #WearableTech #AI #DigitalHealth dl.acm.org/doi/abs/10.114… glenn-fernandes.com/projects/habit…
#BSN2024 Research & Industry Panel Discussion with @roozyg of @epicorebio, @stevexuMD of @Sibel_Health, @jesunshine of @Google, and Alexander Adams of @GeorgiaTech! Great conversation on how we can work together to get research off the shelf!
#BSN2024 Research & Industry Panel, @roozyg of @epicorebio presents brilliant product research on soft microfluidic wearables for hydration management, featuring work w/ @TeamMessi, @serenawilliams, and @jaytatum0! A fantastic kick-off to our third and final day! #bsn24
#BSN2024 presentation by @GeffenCooper of @UTAustin "Packet Pruning: Finding Better Energy Spending Policies for Batteryless Human Activity Recognition", draws standing ovation from Prof. Alexander Adams of @GeorgiaTech! A fantastic closer for day 2! More to come tomorrow!
#BSN2024 features wonderful presentation by @MeghnaRoyChowd9 of @Purdue, "Leveraging Ultra-Low-Power Wearables Using Distributed Neural Networks"! Part of the #bsn24 session on Biomedical Data and Computational Approaches!
#BSN2024 session on Biomedical Data and Computational Approaches features awesome talk by Byeongchan Jeong of @UMNews, "Compression-based Feature Reduction for Upper Limb Motor Decoding from Peripheral Neural Signal"! A great presentation for day 2's last session! #bsn24
In the #BSN2024 Panel on Public Policy & Tech/AI an incredible, multifaceted discussion emerged! Our most emphatic thanks go to the panelists: Rep. @rashidforil @US_FDA Digital Health Tech. Director Catherine Bahr @nu_ipham Director Abel Kho @mal_srh Director @PaoloBonatoPhD
#BSN2024 session on AI/Health Monitoring concludes with a bang thanks to HABits Lab's own Soroush Shahi, who presented "When2Trigger: Evaluation Trade-offs in Vision-based Real-Time Eating Detection Systems"! Well done, Soroush 😀 #BSN24 -- Stay tuned for more!
Very interesting work by Ajan Subramanian of @UCIrvine! "Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis" Thanks, Ajan, for another great talk at #BSN2024! #bsn24 @IEEEembs bsn.embs.org
#BSN2024 AI/Health Monitoring session continues with @saeizadeh_a (of @Northeastern)'s excellent presentation, "A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures"! #bsn24 #ieee #embs bsn.embs.org
#BSN2024 session 4 continues with a fantastic presentation by Nooshin Taheri-Chatrudi of @ASU, "Wavelet-Augmented Self-Supervised Learning for Accurate Classification of Cognitive Workload" Stay tuned for more #bsn24 ! bsn.embs.org
Leading off the #BSN2024 technical session on AI & Machine Learning in Health Monitoring is Teya Bergamaschi of @MIT presenting her excellent paper, "Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AI"
