HR job title
- Professor
- Contact Info
- Websites
Jafari, Roozbeh Professor
Positions
- Associate Professor, Electrical and Computer Engineering, College of Engineering
- Associate Professor, Computer Science and Engineering, College of Engineering
- Professor, Biomedical Engineering, College of Engineering
- Faculty Affiliate, Institute for Engineering Education and Innovation, Texas A&M Engineering Experiment Station (TEES)
My research interest lies in the area of wearable computer design and signal processing.
- Overview
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- Research
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Overview
Publications
selected publications
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academic article
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Sel, K., Mohammadi, A., Pettigrew, R. I., & Jafari, R.
(2023).
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation. npj Digital Medicine.
6(1), 110.
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Sel, K., Osman, D., Huerta, N., Edgar, A., Pettigrew, R. I., & Jafari, R.
(2023).
Continuous cuffless blood pressure monitoring with a wearable ring bioimpedance device. npj Digital Medicine.
6(1), 59.
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Kireev, D., Sel, K., Ibrahim, B., Kumar, N., Akbari, A., Jafari, R., & Akinwande, D.
(2022).
Continuous cuffless monitoring of arterial blood pressure via graphene bioimpedance tattoos. Nature Nanotechnology.
17(8), 864-870.
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Ibrahim, B., & Jafari, R.
(2022).
Cuffless blood pressure monitoring from a wristband with calibration-free algorithms for sensing location based on bio-impedance sensor array and autoencoder. Scientific Reports.
12(1), 319.
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Ibrahim, B., & Jafari, R.
(2019).
Cuffless Blood Pressure Monitoring from an Array of Wrist Bio-Impedance Sensors Using Subject-Specific Regression Models: Proof of Concept. IEEE Transactions on Biomedical Circuits and Systems.
13(6), 1723-1735.
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Wei, H., Jafari, R., & Kehtarnavaz, N.
(2019).
Fusion of Video and Inertial Sensing for Deep Learning-Based Human Action Recognition. 19(17), 3680-3680.
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Huynh, T. H., Jafari, R., & Chung, W.
(2019).
Noninvasive Cuffless Blood Pressure Estimation Using Pulse Transit Time and Impedance Plethysmography. IEEE Transactions on Biomedical Engineering.
66(4), 967-976.
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Wu, J., & Jafari, R.
(2019).
Orientation Independent Activity/Gesture Recognition Using Wearable Motion Sensors. IEEE Internet of Things.
6(2), 1427-1437.
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Zhang, Y., Rodrigues, J., Seah, W., Wu, J., Sun, Y., & Jafari, R.
(2019).
Special Issue on Wearable Sensor-Based Big Data Analysis for Smart Health. IEEE Internet of Things.
6(2), 1293-1297.
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Fortino, G., Li, Y. e., Yuce, M., & Jafari, R.
(2019).
Special Issue on Next-Generation Smart Body Sensor Networks: From Autonomic Body Sensors to Cognitive Body Sensor Network Ecosystems. IEEE Sensors Journal.
19(19), 8370-8370.
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Nathan, V., & Jafari, R.
(2018).
Particle Filtering and Sensor Fusion for Robust Heart Rate Monitoring Using Wearable Sensors. IEEE Journal of Biomedical and Health Informatics.
22(6), 1834-1846.
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Nathan, V., Paul, S., Prioleau, T., Niu, L. i., Mortazavi, B. J., Cambone, S. A., ... Jafari, R.
(2018).
A Survey on Smart Homes for Aging in Place Toward solutions to the specific needs of the elderly. IEEE: Signal Processing Magazine.
35(5), 111-119.
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Huynh, T. H., Jafari, R., & Chung, W.
(2018).
A Robust Bioimpedance Structure for Smartwatch-Based Blood Pressure Monitoring. 18(7), 2095-2095.
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Bennett, T. R., Gans, N., & Jafari, R.
(2017).
Data-Driven Synchronization for Internet-of-Things Systems. ACM Transactions on Embedded Computing Systems.
16(3), 1-24.
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Wu, J., & Jafari, R.
(2017).
Seamless Vision-assisted Placement Calibration for Wearable Inertial Sensors. ACM Transactions on Embedded Computing Systems.
16(3), 1-22.
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Chen, C., Jafari, R., & Kehtarnavaz, N.
(2017).
A survey of depth and inertial sensor fusion for human action recognition. 76(3), 4405-4425.
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Kumar, V., Jafari, R., & Pourkamali, S.
(2016).
Ultra-Low Power Digitally Operated Tunable MEMS Accelerometer. 16(24), 8715-8721.
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Ghasemzadeh, H., Fallahzadeh, R., & Jafari, R.
(2016).
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables. 21(4), 58-27.
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Wu, J., Sun, L. u., & Jafari, R.
(2016).
A Wearable System for Recognizing American Sign Language in Real-Time Using IMU and Surface EMG Sensors. 20(5), 1281-1290.
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Bennett, T. R., Massey, H. C., Wu, J., Hasnain, S. A., & Jafari, R.
(2016).
MotionSynthesis Toolset (MoST): An Open Source Tool and Data Set for Human Motion Data Synthesis and Validation. 16(13), 5365-5375.
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Valenza, G., Carli, V., Lanata, A., Chen, W., Jafari, R., & Scilingo, E. P.
(2016).
Sensor Informatics for Managing Mental Health. 20(4), 975-976.
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Bennett, T. R., Wu, J., Kehtarnavaz, N., & Jafari, R.
(2016).
Inertial Measurement Unit-Based Wearable Computers for Assisted Living Applications A signal processing perspective. 33(2), 28-35.
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Chen, C., Jafari, R., & Kehtarnavaz, N.
(2016).
A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion. 16(3), 773-781.
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Zou, Y., Nathan, V., & Jafari, R.
(2016).
Automatic Identification of Artifact-Related Independent Components for Artifact Removal in EEG Recordings. IEEE Journal of Biomedical and Health Informatics.
20(1), 73-81.
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Mortazavi, B., Pourhomayoun, M., Ghasemzadeh, H., Jafari, R., Roberts, C. K., & Sarrafzadeh, M.
(2015).
Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions. IEEE Internet of Things.
2(1), 84-93.
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Wang, H., Jafari, R., Zhou, G., Venkatasubramanian, K. K., Sun, J. S., Bonato, P., & Wu, D.
(2015).
Guest Editorial : Special Issue on Internet of Things for Smart and Connected Health. IEEE Internet of Things.
2(1), 1-4.
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Chen, C., Jafari, R., & Kehtarnavaz, N.
(2015).
Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors. IEEE Transactions on Human-Machine Systems.
45(1), 51-61.
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Chen, C., Kehtarnavaz, N., & Jafari, R.
(2014).
A medication adherence monitoring system for pill bottles based on a wearable inertial sensor. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2014, 4983-4986.
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Dehzangi, O., Nathan, V., Zong, C., Lee, C., Kim, I., & Jafari, R.
(2014).
A novel stimulation for multi-class SSVEP-based brain-computer interface using patterns of time-varying frequencies. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2014, 118-121.
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Thomas, S. S., Nathan, V., Chengzhi Zong, .., Akinbola, E., Aroul, A., Philipose, L., ... Jafari, R.
(2014).
BioWatch - a wrist watch based signal acquisition system for physiological signals including blood pressure. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2014, 2286-2289.
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Nathan, V., & Jafari, R.
(2014).
Characterizing contact impedance, signal quality and robustness as a function of the cardinality and arrangement of fingers on dry contact EEG electrodes. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2014, 3755-3758.
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Chen Chen, .., Kui Liu, .., Jafari, R., & Kehtarnavaz, N.
(2014).
Home-based Senior Fitness Test measurement system using collaborative inertial and depth sensors. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2014, 4135-4138.
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Reagor, M. K., Zong, C., & Jafari, R.
(2014).
Maximizing information transfer rates in an SSVEP-based BCI using individualized Bayesian probability measures. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2014, 654-657.
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Ghasemzadeh, H., Panuccio, P., Trovato, S., Fortino, G., & Jafari, R.
(2014).
Power-Aware Activity Monitoring Using Distributed Wearable Sensors. IEEE Transactions on Human-Machine Systems.
44(4), 537-544.
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Liu, K., Chen, C., Jafari, R., & Kehtarnavaz, N.
(2014).
Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition. IEEE Sensors Journal.
14(6), 1898-1903.
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Lee, E. A., Hartmann, B., Kubiatowicz, J., Rosing, T. S., Wawrzynek, J., Wessel, D., ... Rowe, A.
(2014).
The Swarm at the Edge of the Cloud. IEEE Design and Test.
31(3), 8-20.
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Ghasemzadeh, H., & Jafari, R.
(2013).
Ultra low-power signal processing in wearable monitoring systems: A tiered screening architecture with optimal bit resolution. ACM Transactions on Embedded Computing Systems.
13(1), 9-23.
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Jafari, R., Lach, J., Sarrafzadeh, M., & Kaiser, W.
(2013).
Introduction to the special section on wireless health systems. ACM Transactions on Embedded Computing Systems.
12(4), 98-2.
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Fortino, G., Giannantonio, R., Gravina, R., Kuryloski, P., & Jafari, R.
(2013).
Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications. IEEE Transactions on Human-Machine Systems.
43(1), 115-133.
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Guenterberg, E., Ghasemzadeh, H., & Jafari, R.
(2012).
Automatic Segmentation and Recognition in Body Sensor Networks Using a Hidden Markov Model. ACM Transactions on Embedded Computing Systems.
11(S2), 46-19.
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Raveendranathan, N., Galzarano, S., Loseu, V., Gravina, R., Giannantonio, R., Sgroi, M., Jafari, R., & Fortino, G.
(2012).
From Modeling to Implementation of Virtual Sensors in Body Sensor Networks. IEEE Sensors Journal.
12(3), 583-593.
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Loseu, V., Ghasemzadeh, H., & Jafari, R.
(2012).
A Mining Technique Using
$N$
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Ahmadi, A., Jafari, R., & Hart, J.
(2011).
Light-weight single trial EEG signal processing algorithms: computational profiling for low power design. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2011, 4426-4430.
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Ghasemzadeh, H., & Jafari, R.
(2011).
Coordination Analysis of Human Movements With Body Sensor Networks: A Signal Processing Model to Evaluate Baseball Swings. IEEE Sensors Journal.
11(3), 603-610.
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Ghasemzadeh, H., & Jafari, R.
(2011).
Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees. IEEE Transactions on Industrial Informatics.
7(1), 66-77.
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Ghasemzadeh, H., Loseu, V., Ostadabbas, S., & Jafari, R.
(2010).
Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of transmissions. IEEE Journal on Selected Areas in Communications.
28(7), 1073-1082.
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Ostadabbas, S., & Jafari, R.
(2010).
Spectral Spatio-Temporal template extraction from EEG signals. 2010, 4678-4682.
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Ghasemzadeh, H., Jafari, R., & Prabhakaran, B.
(2010).
A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities. IEEE Journal of Biomedical and Health Informatics.
14(2), 198-206.
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Ghasemzadeh, H., Loseu, V., & Jafari, R.
(2010).
Structural action recognition in body sensor networks: distributed classification based on string matching. IEEE Journal of Biomedical and Health Informatics.
14(2), 425-435.
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Yang, A. Y., Jafari, R., Sastry, S. S., & Bajcsy, R.
(2009).
Distributed recognition of human actions using wearable motion sensor networks. Journal of Ambient Intelligence and Smart Environments.
1(2), 103-115.
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Ghasemzadeh, H., Loseu, V., & Jafari, R.
(2009).
Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf. Journal of Ambient Intelligence and Smart Environments.
1(2), 173-184.
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Guenterberg, E., Yang, A. Y., Ghasemzadeh, H., Jafari, R., Bajcsy, R., & Sastry, S. S.
(2009).
A method for extracting temporal parameters based on hidden Markov models in body sensor networks with inertial sensors. 13(6), 1019-1030.
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Ghassemzadeh, H., Guenterberg, E., Ostadabbas, S., & Jafari, R.
(2009).
A motion sequence fusion technique based on PCA for activity analysis in body sensor networks. 2009, 3146-3149.
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Jafari, R., Ghasemzadeh, H., Dabiri, F., Nahapetian, A., & Sarrafzadeh, M.
(2009).
An efficient placement and routing technique for fault-tolerant distributed embedded computing. ACM Transactions on Embedded Computing Systems.
8(4), 28-26.
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Ghasemzadeh, H., Guenterberg, E., & Jafari, R.
(2009).
Energy-Efficient Information-Driven Coverage for Physical Movement Monitoring in Body Sensor Networks. IEEE Journal on Selected Areas in Communications.
27(1), 58-69.
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Jafari, R., Ghiasi, S., & Sarrafzadeh, M.
(2007).
Medical Embedded Systems. IFIP Advances in Information and Communication Technology.
231, 441-444.
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Ghiasi, S., Bozorgzadeh, E., Huang, P., Jafari, R., & Sarrafzadeh, M.
(2006).
A Unified Theory of Timing Budget Management. IEEE Transactions on Computer - Aided Design of Integrated Circuits and Systems.
25(11), 2364-2375.
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Jafari, R., Noshadi, H., Ghiasi, S., & Sarrafzadeh, M.
(2006).
Adaptive Electrocardiogram Feature Extraction on Distributed Embedded Systems. IEEE Transactions on Parallel and Distributed Systems.
17(8), 797-807.
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Ghiasi, S., Huang, P., & Jafari, R.
(2006).
Probabilistic Delay Budget Assignment for Synthesis of Soft Real-Time Applications. IEEE Transactions on Very Large Scale Integration Systems.
14(8), 843-853.
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Sel, K., Mohammadi, A., Pettigrew, R. I., & Jafari, R.
(2023).
Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation. npj Digital Medicine.
6(1), 110.
-
chapter
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Dabiri, F., Massey, T., Nahapetian, A., Sarrafzadeh, M., & Jafari, R.
(2017).
Digital Design and Fabrication. Oklobdzija, V. G. (Eds.),
Digital Design and Fabrication.
16-1-16-20.
CRC Press.
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Nathan, V., Thomas, S. S., & Jafari, R.
(2017).
Smart Watches for Physiological Monitoring: A Case Study on Blood Pressure Measurement. Anticipation and Medicine.
(pp. 231-252).
Springer Nature.
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Ghasemzadeh, H., & Jafari, R.
(2015).
Ambient Assisted Living. Garcia, N. M., & Rodrigues, J. (Eds.),
Ambient Assisted Living.
(pp. 203-224).
CRC Press.
-
Ghasemzadeh, H., & Jafari, R.
(2015).
Ultra Low-Power Hardware-Assisted Signal Screening in Wearable Systems. Wearable Electronics Sensors.
(pp. 81-106).
Springer Nature.
-
Loseu, V., Wu, J., & Jafari, R.
(2014).
Mining Techniques for Body Sensor Network Data Repository. Wearable Sensors.
(pp. 383-407).
Elsevier.
-
Ghasemzadeh, H., Guenterberg, E., & Jafari, R.
(2011).
Lightweight Signal Processing for Wearable Body Sensor Networks. Wearable Monitoring Systems.
(pp. 99-122).
Springer Nature.
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Jafari, R., Ghasemzadeh, H., Guenterberg, E., Loseu, V., & Ostadabas, S.
(2011).
Human bio-kinematic monitoring with body area networks. Wireless Body Area Networks: Technology, Implementation and Applications.
(pp. 75-106).
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Lazakidou, A. A., Siassiakos, K. M., Massey, T., Dabiri, F., Jafari, R., Noshadi, H., Brisk, P., & Sarrafzadeh, M.
(2009).
Reconfigurable Embedded Medical Systems. Handbook of Research on Distributed Medical Informatics and E-Health.
(pp. 228-240).
IGI Global.
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Dabiri, F., Massey, T., Nahapetian, A., Sarrafzadeh, M., & Jafari, R.
(2017).
Digital Design and Fabrication. Oklobdzija, V. G. (Eds.),
Digital Design and Fabrication.
16-1-16-20.
CRC Press.
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conference paper
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Akbari, A., & Jafari, R.
(2019).
AN AUTOENCODER-BASED APPROACH FOR RECOGNIZING NULL CLASS IN ACTIVITIES OF DAILY LIVING IN-THE-WILD VIA WEARABLE MOTION SENSORS. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
3392-3396.
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Akbari, A., & Jafari, R.
(2019).
Transferring Activity Recognition Models for New Wearable Sensors with Deep Generative Domain Adaptation. 85-96.
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Akbari, A., & Jafari, R.
(2019).
A Deep Learning Assisted Method for Measuring Uncertainty in Activity Recognition with Wearable Sensors
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Solis, R., Pakbin, A., Akbari, A., Mortazavi, B. J., & Jafari, R.
(2019).
A Human-centered Wearable Sensing Platform with Intelligent Automated Data Annotation Capabilities. 255-260.
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Ibrahim, B., Hall, D. A., & Jafari, R.
(2019).
Bio-impedance Simulation Platform using 3D Time-Varying Impedance Grid for Arterial Pulse Wave Modeling
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Sel, K., Kireev, D., Brown, A., Ibrahim, B., Akinwande, D., & Jafari, R.
(2019).
Electrical Characterization of Graphene-based e-Tattoos for Bio-Impedance-based Physiological Sensing
-
Aygun, A., & Jafari, R.
(2019).
Robust Heart Rate Variability and Interbeat Interval Detection Algorithm in the Presence of Motion Artifacts
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Akbari, A., Liu, P., Mortazavi, B. J., & Jafari, R.
(2019).
Tagging Wearable Accelerometers in Camera Frames through Information Translation between Vision Sensors and Accelerometers. 174-184.
-
Ibrahim, B., & Jafari, R.
(2018).
Continuous Blood Pressure Monitoring using Wrist-worn Bio-impedance Sensors with Wet Electrodes. 251-254.
-
Wu, J., Akbari, A., Grimsley, R., & Jafari, R.
(2018).
A Decision Level Fusion and Signal Analysis Technique for Activity Segmentation and Recognition on Smart Phones. 1571-1578.
-
Akbari, A., Wu, J., Grimsley, R., & Jafari, R.
(2018).
Hierarchical Signal Segmentation and Classification for Accurate Activity Recognition. 1596-1605.
-
Abbasalipour, A., Kumar, V., Jafari, R., & Pourkamali, S.
(2018).
A 5-BIT DIGITALLY OPERATED MEMS ACCELEROMETER. 314-317.
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Fotiadis, D. I., Jafari, R., Penders, J., & Wang, M. D.
(2018).
Welcome message. xvii-xviii.
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Fotiadis, D. I., Jafari, R., Penders, J., & Wang, M. D.
(2018).
Welcome message. xvii-xviii.
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Wu, J., Grimsley, R., & Jafari, R.
(2018).
A Robust User Interface for IoT using Context-aware Bayesian Fusion. 126-131.
-
Ibrahim, B., Akbari, A., & Jafari, R.
(2017).
A Novel Method for Pulse Transit Time Estimation Using Wrist Bio-Impedance Sensing Based on a Regression Model. 1-4.
-
Ibrahim, B., Hall, D. A., & Jafari, R.
(2017).
Bio-Impedance Spectroscopy (BIS) Measurement System for Wearable Devices. 1-4.
-
Ibrahim, B., Nathan, V., & Jafari, R.
(2017).
Exploration and validation of alternate sensing methods for wearable continuous pulse transit time measurement using optical and bioimpedance modalities. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
2051-2055.
-
Akbari, A., Dewey, R., & Jafari, R.
(2017).
Validation of a New Model-Free Signal Processing Method for Gait Feature Extraction Using Inertial Measurement Units to Diagnose and Quantify the Severity of Parkinson's Disease. 1-5.
-
Dawar, N., Chen, C., Jafari, R., & Kehtarnavaz, N.
(2017).
Real-Time Continuous Action Detection and Recognition Using Depth Images and Inertial Signals. 1342-1347.
-
Akbari, A., Thomas, X., & Jafari, R.
(2017).
Automatic Noise Estimation and Context-Enhanced Data Fusion of IMU and Kinect for Human Motion Measurement. 178-182.
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Trujillo, Z., Nathan, V., Cote, G. L., & Jafari, R.
(2017).
Design and Parametric Analysis of a Wearable Dual-Photoplethysmograph Based System for Pulse Wave Velocity Detection. IEEE International Symposium on Circuits and Systems proceedings. IEEE International Symposium on Circuits and Systems.
2428-2431.
-
Zhu, Z., Ober, S., & Jafari, R.
(2017).
Modeling and Detecting Student Attention and Interest Level using Wearable Computers. 13-18.
-
Hasani, S. A., & Jafari, R.
(2017).
Urban Heartbeat: From Modelling to Application. 308-315.
-
Chen, C., Hao, H., Jafari, R., & Kehtarnavaz, N.
(2017).
Weighted Fusion of Depth and Inertial Data to Improve View Invariance for Real-Time Human Action Recognition. Proceedings of SPIE.
1022307-1022307-9.
-
Mondal, S., Hsu, C., Jafari, R., & Hall, D.
(2017).
A Dynamically Reconfigurable ECG Analog Front-End with a 2.5x Data-Dependent Power Reduction. Proceedings of the ... Custom Integrated Circuits Conference. Custom Integrated Circuits Conference.
1-4.
-
Kumar, V., Ramezany, A., Mazrouei, S., Jafari, R., & Pourkamali, S.
(2017).
A 3-Bit Digitally Operated MEMS Rotational Accelerometer. Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS).
1087-1090.
-
Thomas, S. S., Nathan, V., Zong, C., Soundarapandian, K., Shi, X., & Jafari, R.
(2016).
BioWatch: A Noninvasive Wrist-Based Blood Pressure Monitor That Incorporates Training Techniques for Posture and Subject Variability. IEEE Journal of Biomedical and Health Informatics.
1291-1300.
-
Chen, C., Jafari, R., & Kehtarnavazi, N.
(2016).
FUSION OF DEPTH, SKELETON, AND INERTIAL DATA FOR HUMAN ACTION RECOGNITION. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
2712-2716.
-
Kumar, V., Guo, X., Jafari, R., & Pourkamali, S.
(2016).
ULTRA-LOW POWER SELF-COMPUTING BINARY OUTPUT DIGITAL MEMS ACCELEROMETER. Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS).
251-254.
-
Kumar, V., Guo, X., Jafari, R., & Pourkamali, S.
(2015).
A Tunable Digitally Operated MEMS Accelerometer. 1-4.
-
Zhang, Q., Zahed, C., Nathan, V., Hall, D. A., & Jafari, R.
(2015).
An ECG Dataset Representing Real-World Signal Characteristics for Wearable Computers. 394-397.
-
Nathan, V., & Jafari, R.
(2015).
Design Principles and Dynamic Front End Reconfiguration for Low Noise EEG Acquisition With Finger Based Dry Electrodes. IEEE Transactions on Biomedical Circuits and Systems.
631-640.
-
Nathan, V., Akkaya, I., & Jafari, R.
(2015).
A particle filter framework for the estimation of heart rate from ECG signals corrupted by motion artifacts. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
6560-6565.
-
Xu, Z., Zong, C., & Jafari, R.
(2015).
Constructing energy expenditure regression model using heart rate with reduced training time. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
6566-6569.
-
Chengzhi Zong, .., & Jafari, R.
(2015).
Robust heart rate estimation using wrist-based PPG signals in the presence of intense physical activities. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
8078-8082.
-
Dehzangi, O., & Jafari, R.
(2015).
Time-varying and simultaneous frequency stimulation for multi-class SSVEP-based brain-computer interface. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
1757-1760.
-
Kuni, R., Prathivadi, Y., Wu, J., Bennett, T. R., & Jafari, R.
(2015).
Exploration of Interactions Detectable by Wearable IMU Sensors. 1-6.
-
Wu, J., Tian, Z., Sun, L. u., Estevez, L., & Jafari, R.
(2015).
Real-time American Sign Language Recognition Using Wrist-Worn Motion and Surface EMG Sensors. 1-6.
-
Bennett, T. R., Gans, N., & Jafari, R.
(2015).
A data-driven synchronization technique for cyber-physical systems. 49-54.
-
Sangiovanni-Vincentelli, A., Jafari, R., & Rowe, A.
(2015).
Message from the general chair and the technical program committee chairs of the second international workshop on the swarm at the edge of the cloud. i.
-
Birjandtalab, J., Zhang, Q., & Jafari, R.
(2015).
A Case Study on Minimum Energy Operation for Dynamic Time Warping Signal Processing in Wearable Computers. 415-420.
-
Bennett, T. R., Gans, N., & Jafari, R.
(2015).
Multi-Sensor Data-Driven Synchronization Using Wearable Sensors. 113-116.
-
Chen, C., Jafari, R., & Kehtarnavaz, N.
(2015).
UTD-MHAD: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera and a Wearable Inertial Sensor. Proceedings / ICIP ... International Conference on Image Processing.
168-172.
-
Chen, C., Jafari, R., & Kehtarnavaz, N.
(2015).
Action Recognition from Depth Sequences Using Depth Motion Maps-Based Local Binary Patterns. 1092-1099.
-
Prathivadi, Y., Wu, J., Bennett, T. R., & Jafari, R.
(2014).
Robust Activity Recognition Using Wearable IMU Sensors. Proceedings of IEEE Sensors.
486-489.
-
Liu, K., Chen, C., Jafari, R., & Kehtarnavaz, N.
(2014).
Multi-HMM Classification for Hand Gesture Recognition Using Two Differing Modality Sensors. 1-4.
-
Nathan, V., & Jafari, R.
(2014).
Reducing the Noise Level of EEG Signal Acquisition through Reconfiguration of Dry Contact Electrodes. 572-575.
-
Wu, J., & Jafari, R.
(2014).
Zero-Effort Camera-Assisted Calibration Techniques for Wearable Motion Sensors. 1-8.
-
Ghasemzadeh, H., Cook, D., Pavel, M., Rashidi, P., Jafari, R., Skubic, M., Ong, M., & Demiris, G.
(2014).
SmartHealthSys 2014. 1179-1185.
-
Zou, Y., Dehzangi, O., Nathan, V., & Jafari, R.
(2014).
Automatic Removal of EEG Artifacts using Electrode-Scalp Impedance. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
2054-2058.
-
Thomas, S. S., Nathan, V., Zong, C., Aroul, P., Philipose, L., Soundarapandian, K., Shi, X., & Jafari, R.
(2014).
Demonstration Abstract: BioWatch - a Wrist Watch based Physiological Signal Acquisition System. 349-350.
-
Jafari, R., Dehzangi, O., Zong, C., & Nathan, V.
(2014).
BCIBench: a benchmarking suite for EEG-based brain computer interface. 19-24.
-
Wu, J., Wang, Z., Raghuraman, S., Prabhakaran, B., & Jafari, R.
(2014).
Demonstration abstract: Upper body motion capture system using inertial sensors. 351-352.
-
Bennett, T. R., Jafari, R., & Gans, N.
(2014).
Motion Based Acceleration Correction for Improved Sensor Orientation Estimates. 109-114.
-
Bennett, T. R., Savaglio, C., Lu, D., Massey, H., Wang, X., Wu, J., & Jafari, R.
(2014).
MotionSynthesis toolset (MoST): a toolset for human motion data synthesis and validation. 25-30.
-
Baccelli, E., Jafari, R., Mangharam, R., & Zheng, R.
(2014).
Message from the general chairs of MobileHealth 2014. iii.
-
Dehzangi, O., Zou, Y., & Jafari, R.
(2013).
Simultaneous classification of motor imagery and SSVEP EEG signals. International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering.
1303-1306.
-
Lotfian, R., & Jafari, R.
(2013).
An ultra-low power hardware accelerator architecture for wearable computers using dynamic time warping. Proceedings -Design, Automation and Test in Europe, DATE.
913-916.
-
Bennett, T., Jafari, R., & Gans, N.
(2013).
An extended Kalman filter to estimate human gait parameters and walking distance. Proceedings of the ... American Control Conference. American Control Conference.
752-757.
-
Zou, Y., Dehzangi, O., & Jafari, R.
(2013).
SCORE-BASED ADAPTIVE TRAINING FOR P300 SPELLER BRAIN-COMPUTER INTERFACE. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
1143-1147.
-
Bidmeshki, M., & Jafari, R.
(2013).
Low Power Programmable Architecture for Periodic Activity Monitoring. 81-88.
-
Bidmeshki, M., & Jafari, R.
(2013).
Low power programmable architecture for periodic activity monitoring. 81-88.
-
Sridharan, A., Sechen, C., & Jafari, R.
(2013).
Low-Voltage Low-Overhead Asynchronous Logic. Proceedings of the International Symposium on Low Power Electronics and Design.
261-266.
-
Kaiser, W., McCray, R., Jafari, R., Spruijt-Metz, D., Chien, S., Garudadri, H., ... Sarrafzadeh, M.
(2012).
Message from the general chairs and the steering committee of 2012 Wireless Health
-
Ahmadi, A., Dehzangi, O., & Jafari, R.
(2012).
Brain-computer interface signal processing algorithms: A Computational Cost vs. Accuracy Analysis for Wearable Computers. 40-45.
-
Zou, Y., Hart, J., & Jafari, R.
(2012).
Automatic EEG artifact removal based on ICA and Hierarchical Clustering. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
649-652.
-
Raghuraman, S., Venkatraman, K., Wang, Z., Wu, J., Clements, J., Lotfian, R., ... Nahrstedt, K.
(2012).
Immersive multiplayer tennis with microsoft kinect and body sensor networks. 1481-1484.
-
Kale, N., Lee, J., Lotfian, R., & Jafari, R.
(2012).
Impact of Sensor Misplacement on Dynamic Time Warping Based Human Activity Recognition using Wearable Computers. 7.
-
Ahmadi, A., Jafari, R., & Hart, J.
(2011).
Light-weight single trial EEG signal processing algorithms: Computational profiling for low power design. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.
4426-4430.
-
Loseu, V., Ghasernzadeh, H., & Jafari, R.
(2011).
A Wireless Communication Selection Approach to Minimize Energy-per-bit For Wearable Computing Applications. 1-8.
-
Jafari, R., & Lotfian, R.
(2011).
A Low Power Wake-Up Circuitry Based on Dynamic Time Warping for Body Sensor Networks. 83-88.
-
Jafari, R.
(2011).
Low Power Tiered Wake-up Module for Lightweight Embedded Systems using Cross Correlation. 22-24.
-
Jafari, R., & Lach, J.
(2011).
Message from the Technical Program Chairs. x.
-
Loseu, V., & Jafari, R.
(2011).
Power Aware Wireless Data Collection for BSN Data Repositories. 19-21.
-
Ghasemzadel, H., & Jafari, R.
(2011).
An Ultra Low Power Granular Decision Making using Cross Correlation: Minimizing Signal Segments for Template Matching. 77-86.
-
Ghasemzadeh, H., & Jafari, R.
(2011).
Ultra Low Power Granular Decision Making using Cross Correlation: Optimizing Bit Resolution for Template Matching. Real-Time Technology and Applications - Proceedings.
137-146.
-
Loseu, V., Mannil, J., & Jafari, R.
(2011).
Lightweight power aware and scalable movement monitoring for wearable computers: a mining and recognition technique at the fingertip of sensors. 7.
-
Nagarajan, K., Gans, N., & Jafari, R.
(2011).
Modeling human gait using a Kalman filter to measure walking distance. 34.
-
Panuccio, P., Ghasemzadeh, H., Fortino, G., & Jafari, R.
(2011).
Power-aware action recognition with optimal sensor selection: an AdaBoost driven distributed template matching approach. 5.
-
Mannil, J., Bidmeshki, M., & Jafari, R.
(2011).
Rejection of Irrelevant Human Actions in Real-time Hidden Markov Model based Recognition Systems for Wearable Computers. 8.
-
Garudadri, H., Jafari, R., Kaiser, W., Lach, J., Mapar, J., McCray, R., ... Ziv, N.
(2010).
Message from the General Chairs and the Steering Committee of Wireless Health 2010
-
Loseu, V., Ghasemzadeh, H., Ostadabbas, S., Raveendranathan, N., Malan, J., & Jafari, R.
(2010).
Applications of sensing platforms with wearable computers. 53.
-
Ghasemzadeh, H., & Jafari, R.
(2010).
Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing. 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).
1-9.
-
Ghasemzadeh, H., Loseu, V., & Jafari, R.
(2010).
Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using motion transcripts. 244-255.
-
Ghasemzadeh, H., & Jafari, R.
(2010).
A greedy buffer allocation algorithm for power-aware communication in body sensor networks. 195-204.
-
Ghasemzadeh, H., & Jafari, R.
(2010).
A greedy buffer allocation algorithm for power-aware communication in body sensor networks. 195-204.
-
Loseu, V., Ghasemzadeh, H., Khan, L. R., & Jafari, R.
(2010).
A mining technique using n-grams and motion transcripts for body sensor network data repository. 94-103.
-
Ghasemzadeh, H., & Jafari, R.
(2010).
Body Sensor Networks for Baseball Swing Training: Coordination Analysis of Human Movements Using Motion Transcripts. 792-795.
-
Loseu, V., Ghasemzadeh, H., & Jafari, R.
(2010).
Toward power optimization for communication failure recovery in Body Sensor Networks. 198-198.
-
Shankar, P., Raveendranathan, N., Gans, N. R., & Jafari, R.
(2010).
Towards power optimized kalman filter for gait assessment using wearable sensors. 137-144.
-
Ghasemzadeh, H., Jain, N., Sgroi, M., & Jafari, R.
(2009).
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique. Proceedings -Design, Automation and Test in Europe, DATE.
358-363.
-
Guenterberg, E., Ghasemzadeh, H., Loseu, V., & Jafari, R.
(2009).
Distributed Continuous Action Recognition Using a Hidden Markov Model in Body Sensor Networks. 145-158.
-
Raveendranathan, N., Loseu, V., Guenterberg, E., Giannantonio, R., Gravina, R., Sgroi, M., & Jafari, R.
(2009).
Implementation of Virtual Sensors in Body Sensor Networks with the SPINE Framework. 124-127.
-
Guenterberg, E., Ghasemzadeh, H., & Jafari, R.
(2009).
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks. 339-344.
-
Guenterberg, E., Ostadabbas, S., Ghasemzadeh, H., & Jafari, R.
(2009).
An automatic segmentation technique in body sensor networks based on signal energy. 21.
-
Ghasemzadeh, H., Loseu, V., Guenterberg, E., & Jafari, R.
(2009).
Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing. 2.
-
Sathyanarayana, A., Nageswaren, S., Ghasemzadeh, H., Jafari, R., & Hansen, J.
(2008).
Body sensor networks for driver distraction identification. 120-125.
-
Yang, A. Y., Iyengar, S., Sastry, S., Bajcsy, R., Kuryloski, P., & Jafari, R.
(2008).
Distributed Segmentation and Classification of Human Actions Using a Wearable Motion Sensor Network* *This work was partially supported by ARO MURI W911NF-06-1-0076, NSF TRUST Center, and the startup funding from the University of Texas and Texas Instruments. 1-8.
-
Barnes, J., Ramachandra, V., Gilani, K., Guenterberg, E., Ghasemzadeh, H., & Jafari, R.
(2008).
Locomotion Monitoring using Body Sensor Networks. 555-556.
-
LEMOYNE, R., DABIRI, F., & JAFARI, R.
(2008).
QUANTIFIED DEEP TENDON REFLEX DEVICE, SECOND GENERATION. Journal of Mechanics in Medicine and Biology.
75-85.
-
Ghasemzadeh, H., Barnes, J., Guenterberg, E., & Jafari, R.
(2008).
A Phonological Expression for Physical Movement Monitoring in Body Sensor Networks. 58-68.
-
Ghasemzadeh, H., Guenterberg, E., Gilani, K., & Jafari, R.
(2008).
Action Coverage Formulation for Power Optimization in Body Sensor Networks. 446-451.
-
Jafari, R., & Gilani, K.
(2008).
Body Sensor Networks and Ultra Wideband Communication. 9-10.
-
Ramachandran, R., Ramanna, L., Ghasemzadeh, H., Pradhan, G., Jafari, R., & Prabhakaran, B.
(2008).
Body sensor networks to evaluate standing balance: interpreting muscular activities based on inertial sensors. 4.
-
Jiang, S., Cao, Y., Iyengar, S., Kuryloski, P., Jafari, R., Xue, Y., Bajcsy, R., & Wicker, S.
(2008).
CareNet: An Integrated Wireless Sensor Networking Environment for Remote Healthcare
-
Annadhorai, A., Guenterberg, E., Barnes, J., Haraga, K., & Jafari, R.
(2008).
Human identification by gait analysis. 11.
-
Barnes, J., & Jafari, R.
(2008).
Locomotion monitoring using body sensor networks. 47.
-
Jafari, R., Li, W., Bajcsy, R., Glaser, S., & Sastry, S.
(2007).
Physical activity monitoring for assisted living at home. IFMBE proceedings.
213-219.
-
Guenterberg, E., Ghasemzadeh, H., Jafari, R., & Bajcsy, R.
(2007).
A Segmentation Technique Based on Standard Deviation in Body Sensor Networks. 63-66.
-
Jafari, R., Bajcsy, R., Glaser, S., Gnade, B., Sgroi, M., & Sastry, S.
(2007).
Platform Design for Health-care Monitoring Applications. 88-94.
-
Massey, T., Dabiri, F., Jafari, R., Noshadi, H., Brisk, P., Kaiser, W., & Sarrafzadeh, M.
(2007).
Towards Reconfigurable Embedded Medical Systems. 178-180.
-
Dabiri, F., Jafari, R., Nahapetian, A., & Sarrafzadeh, M.
(2007).
A Unified Optimal Voltage Selection Methodology for Low-power Systems. 1-6.
-
Vehkaoja, A., Zakrzewski, M., Lekkala, J., Iyengar, S., Bajcsy, R., Glaser, S., Sastry, S., & Jafari, R.
(2007).
A resource optimized physical movement monitoring scheme for environmental and on-body sensor networks. 64-66.
-
Brisk, P., Dabiri, F., Jafari, R., & Sarrafzadeh, M.
(2006).
Optimal Register Sharing for High-Level Synthesis of SSA Form Programs. IEEE Transactions on Computer - Aided Design of Integrated Circuits and Systems.
772-779.
-
Jafari, R., Jindrich, D. L., Edgerton, V. R., & Sarrafzadeh, M.
(2006).
CMAS: Clinical Movement Assessment System for Neuromotor Disorders. 102-105.
-
Sarrafzadeh, M., Dabiri, F., Jafari, R., Massey, T., & Nahapetan, A.
(2006).
Low Power Light-weight Embedded Systems. Proceedings of the International Symposium on Low Power Electronics and Design.
207-212.
-
Jafari, R., Noshadi, H., Ghiasi, S., & Sarrafzadeh, M.
(2006).
Adaptive Medical Feature Extraction for Resource Constrained Distributed Embedded Systems. 6-11.
-
Jafari, R., Dabiri, F., Brisk, P., & Sarrafzadeh, M.
(2005).
Adaptive and fault tolerant medical vest for life-critical medical monitoring. 272-279.
-
Jafari, R., Dabiri, F., Choi, B., & Sarrafzadeh, M.
(2005).
Efficient placement and routing in grid-based networks. 899-900.
-
Jafari, R., Encarnacao, A., Zahoory, A., Dabiri, F., Noshadi, H., & Sarrafzadeh, M.
(2005).
Wireless Sensor Networks for Health Monitoring. 479-481.
-
Jafari, R., Dabiri, F., & Sarrafzadeh, M.
(2005).
An Efficient Placement and Routing Technique for Fault-Tolerant Distributed Embedded Computing. 135-143.
-
Jafari, R., Memik, S. O., & Sarrafzadeh, M.
(2005).
Quick Reconfiguration in Clustered Micro-Sequencer. 1-8.
-
Wong, J. L., Jafari, R., & Potkonjak, M.
(2004).
Gateway Placement for Latency and Energy Efficient Data Aggregation. 490-497.
-
Memik, S. O., Memik, G., Jafari, R., & Kursun, E.
(2003).
Global resource sharing for synthesis of control data flow graphs on FPGAs. Design Automation Conference.
604-609.
-
Akbari, A., & Jafari, R.
(2019).
AN AUTOENCODER-BASED APPROACH FOR RECOGNIZING NULL CLASS IN ACTIVITIES OF DAILY LIVING IN-THE-WILD VIA WEARABLE MOTION SENSORS. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference).
3392-3396.
Research
principal investigator on
- An Unobtrusive Continuous Cuff-less Blood Pressure Monitor for Nocturnal Hypertension awarded by National Heart Lung and Blood Institute - (Bethesda, Maryland, United States) 2020 - 2025
- SCH: INT: A Context-aware Cuff-less Wearable Ambulatory Blood Pressure Monitor using a Bio-Impedance Sensor Array awarded by National Institutes of Health - (Bethesda, Maryland, United States) 2018 - 2022
- RAPID: Electronic Tattoos for Detection of Pre-symptoms of Infection awarded by Directorate for Computer & Information Science & Engineering - (Arlington, Virginia, United States) 2020 - 2021
- CAREER: CSR Ultra Low Power Architectures for Wearable Computing awarded by National Science Foundation - (Arlington, Virginia, United States) 2016 - 2021
- Design of Motion-Artifact Robust Electronic Tattoos and Software Reconfiguration Methodologies for Bio-impedance Sensing awarded by National Science Foundation - (Arlington, Virginia, United States) 2017 - 2020
- Ultra-Low Power Inertial MEMS for Pervasive Wearable Computing awarded by National Science Foundation - (Arlington, Virginia, United States) 2015 - 2020
co-principal investigator on
- Estimating Recovery in Cardiac Rehabilitation using Mobile Health Technology and Personalized Machine Learning awarded by National Institutes of Health - (Bethesda, Maryland, United States) 2019 - 2022
- Engineering Research Center for Precise Advanced Technologies and Health Systems for Underserved Populations (PATHS-UP) awarded by National Science Foundation - (Arlington, Virginia, United States) 2017 - 2022
- Student-Author Travel Grant for the International Conferences on Biomedical and Health Informatics and on Wearable and Implantable Body Sensor Networks 2018 awarded by National Science Foundation - (Arlington, Virginia, United States) 2017 - 2018
Teaching
teaching activities
- BMEN291 Hnr-research Instructor
- BMEN428 Embedded Systems Med Apps Instructor
- BMEN491 Hnr-research Instructor
- BMEN628 Embedded Systems Med Apps Instructor
- BMEN684 Professional Internship Instructor
- BMEN689 Sptp:microcntrl & Comm In Med Instructor
- BMEN691 Research Instructor
- CSCE461 Embedded Systems Med Apps Instructor
- CSCE482 Hnr- Sr Capstone Design Instructor
- CSCE489 Sptp: Microcnt Com Medical Dev Instructor
- CSCE491 Hnr-research Instructor
- CSCE491 Hnr-research Instructor
- CSCE684 Professional Internship Instructor
- CSCE685 Directed Studies Instructor
- CSCE691 Research Instructor
- ECEN489 Sptp:embedded Systems Med Apps Instructor
- ECEN491 Hnr-research Instructor
- ECEN684 Professional Internship: In-ab Instructor
- ECEN691 Research Instructor
Background
education and training
- Ph.D. in Computer Science, University of California Los Angeles - (Los Angeles, California, United States) 2006
- M.S. in Computer Science, University of California Los Angeles - (Los Angeles, California, United States) 2004
- M.S. in Electrical Engineering, State University of New York - (Albany, New York, United States) 2002
- B.S. in Electrical Engineering, Sharif University of Technology - (Tehran, Iran) 2000
- University of California, Berkeley - (Berkeley, California, United States) , Postdoctoral Training 2007
awards and honors
- Faculty Early Career Development (CAREER) Program, conferred by National Science Foundation - (Arlington, Virginia, United States), 2016
- Faculty Early Career Development (CAREER) Program, conferred by National Science Foundation - (Arlington, Virginia, United States), 2012
- Jonsson School Faculty Research Award, conferred by The University of Texas at Dallas - (Richardson, Texas, United States), 2012
Contact
first name
- Roozbeh
has last name
- Jafari
mailing address
-
Texas A&M University
Biomedical Engineering
3120 TAMU
College Station, TX 77843-3120
USA
Other
In the News
- Researchers receive $3.6M grant to continuously monitor blood pressure during sleep News Release
- Texas A&M Researchers To Study Blood Pressure During Sleep News Release
- Tiny thing, big impact! News Release
- rjafari@tamu.edu