World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
13145
World Ranking
4764
National Ranking
2214

Overview

Daniel McDuff is affiliated with Microsoft in the United States and contributes extensively to the fields of medicine and computer science. Their research work spans a variety of topics predominantly within biomedical engineering and artificial intelligence, with significant intersections in cardiology, radiology, and surgery.

The main research areas covered by Daniel McDuff include:

  • Non-Invasive Vital Sign Monitoring
  • Optical Imaging and Spectroscopy Techniques
  • Heart Rate Variability and Autonomic Control
  • Hemodynamic Monitoring and Therapy
  • ECG Monitoring and Analysis
  • Topic Modeling
  • Digital Mental Health Interventions

Key publication venues where McDuff frequently publishes are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biomedical Optics Express
  • CHI Conference on Human Factors in Computing Systems
  • Nature

Notable recent papers authored or coauthored by McDuff include:

  • "Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement," 2020, arXiv (Cornell University)
  • "EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Camera Measurement of Physiological Vital Signs," 2022, ACM Computing Surveys

Several prominent coauthors regularly collaborate with Daniel McDuff, such as:

  • Shwetak Patel
  • Xin Liu
  • Andrew Barakat
  • Allen Jiang
  • John Hernandez

Their research integrates advanced computer vision and machine learning techniques to improve methods for monitoring physiological signals. This approach supports applications in both clinical cardiology and broader health technology contexts.

Best Publications

  • Non-contact, automated cardiac pulse measurements using video imaging and blind source separation.

    Ming-Zher Poh;Daniel Jonathan McDuff;Rosalind W. Picard

  • Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam

    Ming-Zher Poh;Daniel J McDuff;Rosalind W Picard

  • DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks

    Weixuan Chen;Daniel J. McDuff

  • Remote measurement of cognitive stress via heart rate variability.

    Daniel Jonathan McDuff;Sarah Gontarek;Rosalind W. Picard

  • Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera

    Daniel Jonathan McDuff;Sarah Gontarek;Rosalind W. Picard

  • AFFDEX SDK: A Cross-Platform Real-Time Multi-Face Expression Recognition Toolkit

    Daniel McDuff;Abdelrahman Mahmoud;Mohammad Mavadati;May Amr

  • AffectAura: an intelligent system for emotional memory

    Daniel McDuff;Amy Karlson;Ashish Kapoor;Asta Roseway

  • Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"

    Daniel McDuff;Rana El Kaliouby;Thibaud Senechal;May Amr

  • A survey of remote optical photoplethysmographic imaging methods

    Daniel J. McDuff;Justin R. Estepp;Alyssa M. Piasecki;Ethan B. Blackford

  • Exploring Temporal Patterns in Classifying Frustrated and Delighted Smiles

    Mohammed Ehsan Hoque;D. J. McDuff;R. W. Picard

  • Method and system for measurement of physiological parameters

    Ming-Zher Poh;Daniel J. McDuff;Rosalind W. Picard

  • Predicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads

    Daniel McDuff;Rana El Kaliouby;Jeffrey F. Cohn;Rosalind W. Picard

  • Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera

    Daniel Jonathan McDuff;Sarah Gontarek;Rosalind W. Picard

  • Crowdsourcing Facial Responses to Online Videos

    D. McDuff;R. E. Kaliouby;R. W. Picard

  • Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement

    Xin Liu;Josh Fromm;Shwetak N. Patel;Daniel J. McDuff

  • AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations

    Prasanth Murali;Javier Hernandez;Daniel McDuff;Kael Rowan

  • COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera

    Daniel J. McDuff;Javier Hernandez;Sarah Gontarek;Rosalind W. Picard

  • BioWatch: estimation of heart and breathing rates from wrist motions

    Javier Hernandez;Daniel McDuff;Rosalind W. Picard

  • Camera Measurement of Physiological Vital Signs

    Daniel McDuff

  • A medical mirror for non-contact health monitoring

    Ming-Zher Poh;Daniel McDuff;Rosalind Picard

  • AutoEmotive: bringing empathy to the driving experience to manage stress

    Javier Hernandez;Daniel McDuff;Xavier Benavides;Judith Amores

  • Predicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads

    Rana El Kaliouby;Jeffrey F. Cohn;Daniel Jonathan McDuff;Rosalind W. Picard

Frequent Co-Authors

Mary Czerwinski
Mary Czerwinski Microsoft (United States)
Rana el Kaliouby
Rana el Kaliouby Affectiva (United States)
Ashish Kapoor
Ashish Kapoor Microsoft (United States)
Nick Craswell
Nick Craswell Microsoft (United States)
Shwetak N. Patel
Shwetak N. Patel University of Washington
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Edward Cutrell
Edward Cutrell Microsoft (United States)
John C. Tang
John C. Tang Microsoft (United States)
Karen S. Quigley
Karen S. Quigley Northeastern University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degree options is a practical way for aspiring computer science professionals to start or advance their careers. Flexible, accredited online programs allow students to balance their studies with work or family commitments, making higher education more accessible than ever.

Those seeking rapid advancement can look into shortest master degree programs, which offer a fast track to graduation and workforce entry. Alternatively, investing in one of the most useful masters degrees can improve job prospects and earning potential in high-demand tech fields.

For those just beginning their journey, an online associate degree provides an affordable entry point to computer science and related disciplines. These programs often lead directly to employment or can be transferred to a bachelor’s degree for further study.

Affordability is an important consideration—students should compare programs from affordable online courses to maximize value and minimize debt. With the right online program, there are many pathways to building a rewarding technology career.

Best Scientists Citing Daniel McDuff

Trending Scientists