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User:Tamnvu/sandbox

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VU NGOC TAM
Born (1983-11-02) 2 November 1983 (age 41)
NationalityVietnamese American
Alma materHanoi University of Technology Rutgers University
Occupation(s)Computer scientist, academic and researcher, college professor, founder and CEO at Earable Neuroscience[4]
Known forEarable computing
AwardsSloan Award[1]

CAREER award

CES 2023 Innovation award[2]

CES 2024 Innovation award[3]
Scientific career
FieldsComputer Science

Mobile Computing

Mobile Health
InstitutionsUniversity of Colorado

Oxford University

Dartmouth College
Websitehttps://frenzband.com/

Tam Vu (Computer Scientist)

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Tam Vu is the Thomas A. and Georgina Tugwell Russo 1977 Distinguished Professor in Computer Science[5] at Dartmouth College and the Founder and CEO of Earable Neuroscience, an innovative company specializing in the development of AI-powered wearables. Dr. Vu’s work aims to advance human well-being through cutting-edge technology, focusing particularly on enhancing sleep quality, focus, cognitive function, and longevity.

Academic Contributions and Research

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Dr. Vu is widely recognized as a pioneer in Earable Computing, an emerging subfield of Mobile Computing. In 2013, he introduced the term “Earable Systems” to describe wearable devices that leverage the ear as a site for sensing and stimulation. The concept takes advantage of the ear’s proximity to multiple vital physiological signals, such as brain activity, eye movement, facial muscles, blood pressure, and head motion[6]. Through this approach, Dr. Vu has advanced the field with systems capable of capturing these signals with high fidelity and minimal obtrusiveness.

Prior to Dartmouth, Dr. Vu was an Associate Professor at Oxford University and the University of Colorado Boulder. He founded The Mobile and Networked Systems (MNS) Lab[7] focusing on developing wearable and mobile system that use physiological signals to create innovative human-computer interaction and healthcare solutions. The research led by Dr. Vu has resulted in over 35 patents and pending patents, along with the creation of multiple venture-backed startups aimed at commercializing his breakthroughs.

Dr. Vu’s academic achievements have been recognized with numerous prestigious awards, including the Alfred P. Sloan Fellowship, the NSF CAREER Award, and multiple Google Faculty Research Awards[8]. His work has received 12 Best Paper Awards[9] from flagship academic venues, reflecting the impact and originality of his contributions to mobile systems research. Dr. Vu’s pioneering research has also been covered extensively in major media outlets like CNN, The New York Times, and Bloomberg[10], underscoring its broad relevance and importance.

Entrepreneurship and Technology Transfer

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In addition to his academic endeavors, Dr. Vu is dedicated to bringing his research to practical application through technology transfer. He has co-founded two notable venture-backed companies - Earable Neuroscience and Now Vitals. Earable Neuroscience focuses on AI-powered wearable devices that detect real-time neural signals to deliver personalized audio therapies aimed at improving sleep quality, focus, and cognitive performance[11]. With over $10 million in funding from prominent investors, including Samsung Ventures[12] and Founders Fund[13], the company has expanded to serve more than 28 countries. Earable Neuroscience’s growth reflects Dr. Vu’s efforts in translating sophisticated research into impactful, market-ready solutions.

Accompanied by his devoted teams and collaborators, Dr. Tam Vu developed Earable Neuroscience from an innovative concept to a fully operational multinational company with over 100 employees. The company’s contributions to wearable technology have been acknowledged globally, earning CES Innovation Awards in 2023 and 2024[14], the MUSE Design Award[15], and the Red Dot Design Award, among other honors. Dr. Vu’s commitment to the field led to his selection as one of the CES Innovation Judges[16] [17]for 2024, recognizing his expertise in evaluating technology at the cutting edge.

Impact on the Technology Industry

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The influence of Dr. Vu’s Earable Systems extends beyond academia and his ventures, having a significant impact on the broader technology industry. Major companies, including Apple and Google, have adopted similar technologies, advancing their development of [health monitoring] and human-computer interaction tools. His concept of capturing physiological signals from the ear has set a new precedent for how wearables can be designed to maximize both data accuracy and user comfort.

Focus on Longevity and Wellness

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Currently, Dr. Vu is focused on the intersection of technology and wellness, aiming to leverage his expertise in AI-powered wearables to enhance human performance and longevity. He is spearheading initiatives to use innovative sensing technologies for promoting health, optimizing physical and cognitive functions, and ultimately, improving quality of life. His vision is to create a future where technology seamlessly integrates into daily life, offering tangible benefits for human well-being and promoting longer, healthier lives.

Educational Background

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Dr. Tam Vu completed his Ph.D. in Computer Science at Rutgers University, where he was affiliated with the Wireless Information Network Laboratory (WINLAB), known for advancing wireless communications. He also holds a B.S. in Computer Science from Hanoi University of Technology, where his early passion for technology and innovation began to take shape. His academic background laid the foundation for his pioneering work in the areas of mobile and wearable systems and neuroscience.

Media Recognition

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Dr. Vu’s work has received widespread attention in the media, emphasizing the transformative potential of his innovations. His contributions have been featured in BBC documentaries[18], CNN News, The Wall Street Journal, NPR, Axios, and many other notable outlets. The extensive media coverage of his research and entrepreneurial efforts highlights the relevance of his work in addressing modern healthcare challenges through advanced technology.

Publications

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Selected technical papers

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  • DroneScale: Drone Load Estimation Via Remote Passive RF Sensing, ACM SenSys 2020.[19]
  • WAKE: Behind-the-ear Wearable System for Microsleep Detection, ACM MobiSys 2020.[19]
  • Painometry - Wearable and objective quantification system for acute postoperative pain, ACM MobiSys 2020.[19]
  • eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User’s Ear, ACM MobiCom 2019[19]
  • An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection Preprint arXiv 2024.[20]
  • IoTree: A Battery-free Wearable System with Biocompatible Sensors for Continuous Tree Health Monitoring, MobiCom 2022.[20]
  • PROS: an Efficient Pattern-Driven Operating System for Low-Power Healthcare Wearables, MobiCom 2022.[20]
  • FaceSense: Sensing Face Touch with an Ear-worn System, ACM UbiComp 2021.[20]
  • A Comprehensive Study on the Efficacy of a Wearable Sleep Aid Device Featuring Closed-loop Real-time Acoustic Stimulation[21]
  • eBP: An Ear-Worn Device for Frequent and Comfortable Blood Pressure Monitoring[22]
  • Painometry: Wearable and Objective Qantification System for Acute Postoperative Pain[23]
  • Smartphone-Based SpO2 Measurement by Exploiting Wavelengths Separation And Chromophore Compensation[24]
  • Demo: Earable - An Ear-Worn Biosignal Sensing Platform for Cognitive State Monitoring and Human-Computer Interaction[25]
  • LIBS: A Bioelectrical Sensing System from Human Ears for Staging Whole-Night Sleep Study[26]
  • CapBand: Battery-free Successive Capacitance Sensing Wristband for Hand Gesture Recognition, Best Paper Award Nominee.[27]
  • Novel Pediatric Automated Respiratory Score Using Physiologic Data and Machine Learning in Asthma.[28]
  • Blocking Self-avoiding Walks Stops Cyber-epidemics: A Scalable GPU-based Approach.[29]
  • Photometry based Blood Oxygen Estimation through Smartphone Cameras.[30]
  • iES: A Lightweight And Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring[6]
  • WikiSpiro: Non-contact Respiration Volume Monitoring during Sleep[31]
  • LIBS: A Low-cost In-Ear Bioelectrical Sensing Solution for Healthcare Applications[32]
  • In-ear Biosignal Recording System: A Wearable For Automatic Whole-night Sleep Staging[33]
  • Distinguishing Users with Capacitive Touch Communication[34]

References

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  1. ^ "Sloan award" (PDF).
  2. ^ "CES 2023 Innovation Award". 2023 Honoree in Wearable Technologies.
  3. ^ "CES 2024 Innovation award".
  4. ^ "Frenz Brainband". by Earable Neuroscience, established in 2019.
  5. ^ https://web.cs.dartmouth.edu/people/tam-vu
  6. ^ a b "Automatic Whole-night Sleep Stage Monitoring" (PDF). Best Paper Award 2016; ACM SIGMOBILE Research Highlights 2016; CACM Research Highlights 2017.
  7. ^ "mnslab.org". Mobile and Networked Systems Laboratory.
  8. ^ "Google Faculty Research Awards".
  9. ^ "MobiCom Best Paper Award".
  10. ^ "Thiel-backed startup looks to Vietnam to Solve Sleepless Nights".
  11. ^ "Frenz Brainband – invented by a former Oxford professor - is able to work out what sounds make wearer's drowsy".
  12. ^ "Samsung Ventures Invests in Earable® Neuroscience". Expanding Strategic Footprint in Consumer Wearables for Sleep Tech.
  13. ^ "Founders Fund seeds sleep-tracking startup".
  14. ^ "CES 2024 - Frenz Brainband".
  15. ^ "Interview with Tam Vu from United States".
  16. ^ "CES Tech - Inovation Awards". 2024 Honoree in Accessibility & Aging Tech.
  17. ^ "CES 2023 - Some of the weird and wonderful tech innovations and gadgets unveiled so far". The Frenz brainband by Earable Neuroscience.
  18. ^ "Can technology help you get a better night's sleep?".
  19. ^ a b c d "ACM SenSys 2020".
  20. ^ a b c d "An Unobtrusive and Lightweight Ear-worn System".
  21. ^ "Wearbale Sleep Aid Device" (PDF). Nature Scientific Reports.
  22. ^ "An Ear-Worn Device" (PDF). Communications of the ACM 2021.
  23. ^ "Painometry: Wearable and Objective Qantification System" (PDF). The ACM International Conference on Mobile Systems, Applications, and Services, June 2020.
  24. ^ "Smartphone-Based SpO2 Measurement" (PDF). The ACM Transactions on Sensor Networks, 2020.
  25. ^ "Earable-An Ear-Worn Biosignal Sensing" (PDF). The ACM International Conference on Mobile Systems, Applications and Services, June 2019.
  26. ^ "Staging Whole-Night Sleep Study" (PDF). Communications of the ACM 2018.
  27. ^ "Capband: Battery-free Successive Capacitance Sensing" (PDF). The ACM Conference on Embedded Networked Sensor Systems, November 2018.
  28. ^ "Physiologic Data and Machine Learning in Asthma" (PDF). Pediatric Pulmonology Journal 2019.
  29. ^ "A Scalable GPU-based Approach" (PDF). IEEE TKDE 2019 - IEEE Transactions on Knowledge and Data Engineering, 2019.
  30. ^ "Photometry based Blood Oxygen Estimation" (PDF). Best Paper Award, 2017,ACM MobiCom 2017 - S3 Workshop.
  31. ^ "Non-contact Respiration Volume Monitoring during Sleep" (PDF). Best Paper Award, 2016. The ACM S3 Workshop (conjunction with ACM MobiCom 2016), October 2016.
  32. ^ "A Low-cost In-Ear Bioelectrical Sensing Solution for Healthcare Applications" (PDF). ACM S3 2016 - The ACM S3 Workshop (conjunction with ACM MobiCom 2016), October 2016.
  33. ^ "A Wearable For Automatic Whole-night Sleep Staging" (PDF). ACM MobiSys 2016 - WearSys workshop.
  34. ^ "Distinguishing Users with Capacitvie Communication".
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