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Computer Science

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45
Citations
9029
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7155
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Electronics and Electrical Engineering

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49
Citations
9623
World Ranking
2941
National Ranking
1109

Overview

Roozbeh Jafari is affiliated with Texas A&M University in the United States. Their research primarily spans the fields of Medicine and Engineering, with a significant focus on Biomedical Engineering and Cardiology and Cardiovascular Medicine, as well as Surgery, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

Their scholarly work addresses several main topics, including:

  • Non-Invasive Vital Sign Monitoring
  • Heart Rate Variability and Autonomic Control
  • ECG Monitoring and Analysis
  • Hemodynamic Monitoring and Therapy
  • Context-Aware Activity Recognition Systems
  • Advanced Memory and Neural Computing
  • Time Series Analysis and Forecasting

Jafari has published extensively in venues such as the IEEE Journal of Biomedical and Health Informatics, npj Digital Medicine, IEEE Open Journal of Engineering in Medicine and Biology, arXiv (Cornell University), and IEEE Transactions on Biomedical Circuits and Systems.

Notable recent papers by Jafari include:

  • "Continuous cuffless monitoring of arterial blood pressure via graphene bioimpedance tattoos" (2022, Nature Nanotechnology)
  • "Graphene e-tattoos for unobstructive ambulatory electrodermal activity sensing on the palm enabled by heterogeneous serpentine ribbons" (2022, Nature Communications)
  • "Continuous cuffless blood pressure monitoring with a wearable ring bioimpedance device" (2023, npj Digital Medicine)
  • "Cuffless blood pressure monitoring from a wristband with calibration-free algorithms for sensing location based on bio-impedance sensor array and autoencoder" (2022, Scientific Reports)
  • "Building Digital Twins for Cardiovascular Health: From Principles to Clinical Impact" (2024, Journal of the American Heart Association)

Frequent collaborators in Jafari's research include Kaan Sel, Ali Akbari, Bobak J. Mortazavi, Jonathan Martinez, and Bassem Ibrahim. These collaborations span numerous publications and reflect interdisciplinary efforts in advancing biomedical and cardiovascular monitoring technologies.

Best Publications

  • UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor

    Chen Chen;Roozbeh Jafari;Nasser Kehtarnavaz

  • Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications

    G. Fortino;R. Giannantonio;R. Gravina;P. Kuryloski

  • A survey of depth and inertial sensor fusion for human action recognition

    Chen Chen;Roozbeh Jafari;Nasser Kehtarnavaz

  • Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors

    Chen Chen;Roozbeh Jafari;Nasser Kehtarnavaz

  • A Wearable System for Recognizing American Sign Language in Real-Time Using IMU and Surface EMG Sensors.

    Jian Wu;Lu Sun;Roozbeh Jafari

  • Distributed recognition of human actions using wearable motion sensor networks

    Allen Y. Yang;Roozbeh Jafari;S. Shankar Sastry;Ruzena Bajcsy

  • Continuous cuffless monitoring of arterial blood pressure via graphene bioimpedance tattoos

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  • Action Recognition from Depth Sequences Using Depth Motion Maps-Based Local Binary Patterns

    Chen Chen;Roozbeh Jafari;Nasser Kehtarnavaz

  • A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion

    Chen Chen;Roozbeh Jafari;Nasser Kehtarnavaz

  • Wireless sensor networks for health monitoring

    R. Jafari;A. Encarnacao;A. Zahoory;F. Dabiri

  • Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition

    Kui Liu;Chen Chen;Roozbeh Jafari;Nasser Kehtarnavaz

  • Noninvasive Cuffless Blood Pressure Estimation Using Pulse Transit Time and Impedance Plethysmography

    Toan Huu Huynh;Roozbeh Jafari;Wan-Young Chung

  • CareNet: an integrated wireless sensor networking environment for remote healthcare

    Shanshan Jiang;Yanchuan Cao;Sameer Iyengar;Philip Kuryloski

  • BioWatch: A Noninvasive Wrist-Based Blood Pressure Monitor That Incorporates Training Techniques for Posture and Subject Variability

    Simi Susan Thomas;Viswam Nathan;Chengzhi Zong;Karthikeyan Soundarapandian

  • From Modeling to Implementation of Virtual Sensors in Body Sensor Networks

    N. Raveendranathan;S. Galzarano;V. Loseu;R. Gravina

  • Coordination Analysis of Human Movements With Body Sensor Networks: A Signal Processing Model to Evaluate Baseball Swings

    H Ghasemzadeh;R Jafari

  • A Body Sensor Network With Electromyogram and Inertial Sensors: Multimodal Interpretation of Muscular Activities

    H. Ghasemzadeh;R. Jafari;B. Prabhakaran

  • Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing

    Hassan Ghasemzadeh;Vitali Loseu;Eric Guenterberg;Roozbeh Jafari

  • Distributed segmentation and classification of human actions using a wearable motion sensor network

    A.Y. Yang;S. Iyengar;S. Sastry;R. Bajcsy

  • The Swarm at the Edge of the Cloud

    Edward A. Lee;Jan Rabaey;Björn Hartmann;John Kubiatowicz

  • System for detection of body motion

    Ruzena Bajcsy;Allen Y. Yang;S. Shankar Sastry;Roozbeh Jafari

Frequent Co-Authors

Hassan Ghasemzadeh
Hassan Ghasemzadeh Arizona State University
Majid Sarrafzadeh
Majid Sarrafzadeh University of California, Los Angeles
Nasser Kehtarnavaz
Nasser Kehtarnavaz The University of Texas at Dallas
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley
Shankar Sastry
Shankar Sastry University of California, Berkeley
Giancarlo Fortino
Giancarlo Fortino University of Calabria
Allen Y. Yang
Allen Y. Yang University of California, Berkeley
John Lach
John Lach George Washington University
Siavash Pourkamali
Siavash Pourkamali The University of Texas at Dallas
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley

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