Parvez Ahmmed

Ahmmed, P., Reynolds, J., & Bozkurt, A. (2024). A Subcutaneously Injectable Implant for Multimodal Physiological Monitoring in Animals. IEEE SENSORS JOURNAL, 24(7), 11205–11216. https://doi.org/10.1109/JSEN.2024.3366195

Zhao, L., Stephany, R. G., Han, Y., Ahmmed, P., Bozkurt, A., & Jia, Y. (2023). A Wireless Multimodal Physiological Monitoring ASIC for Injectable Implants. IEEE 49TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE, ESSCIRC 2023, pp. 305–308. https://doi.org/10.1109/ESSCIRC59616.2023.10268719

Queener, K. M., Ahmmed, P., Victorio, M., Twiddy, J., Dehn, A., Brewer, A., … Daniele, M. (2023). Conformal Micropatterned Organic-Metal Electrodes for Physiological Recording. 2023 IEEE SENSORS. https://doi.org/10.1109/SENSORS56945.2023.10324963

Reynolds, J., Williams, E., Martin, D., Readling, C., Ahmmed, P., Huseth, A., & Bozkurt, A. (2022). A Multimodal Sensing Platform for Interdisciplinary Research in Agrarian Environments. SENSORS, 22(15). https://doi.org/10.3390/s22155582

Ahmmed, P., Reynolds, J., Bozkurt, A., & Regmi, P. (2023). Continuous heart rate variability monitoring of freely moving chicken through a wearable electrocardiography recording system. POULTRY SCIENCE, 102(2). https://doi.org/10.1016/j.psj.2022.102375

Ahmmed, P., Reynolds, J., Levine, J. F., & Bozkurt, A. (2021). An Accelerometer-based Sensing System to Study the Valve-gaping Behavior of Bivalves. IEEE Sensors Letters, 1–1. https://doi.org/10.1109/LSENS.2021.3067506

Ahmmed, P., Holder, T., Foster, M., Castro, I. D., Patel, A., Torfs, T., & Bozkurt, A. (2021). Noncontact Electrophysiology Monitoring Systems for Assessment of Canine-Human Interactions. 2021 IEEE SENSORS. https://doi.org/10.1109/sensors47087.2021.9639748

Ahmmed, P., Reynolds, J., Hamada, S., Regmi, P., & Bozkurt, A. (2021). Novel 3D-printed Electrodes for Implantable Biopotential Monitoring. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), pp. 7120–7123. https://doi.org/10.1109/embc46164.2021.9630055

Songkakul, T., Wu, S., Ahmmed, P., Reynolds, W. D., Jr., Zhu, Y., & Bozkurt, A. (2021). Wearable Bioimpedance Hydration Monitoring System using Conformable AgNW Electrodes. 2021 IEEE SENSORS. https://doi.org/10.1109/sensors47087.2021.9639469

Valero-Sarmiento, J. M. F., Ahmmed, P., & Bozkurt, A. (2020). In Vivo Evaluation of a Subcutaneously Injectable Implant with a Low-Power Photoplethysmography ASIC for Animal Monitoring. SENSORS, 20(24). https://doi.org/10.3390/s20247335

A Wearable Wrist-Band with Compressive Sensing based Ultra-Low Power Photoplethysmography Readout Circuit. (2019). 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN). https://doi.org/10.1109/bsn.2019.8771074

Reynolds, J., Ahmmed, P., & Bozkurt, A. (2019). An Injectable System for Subcutaneous Photoplethysmography, Accelerometry, and Thermometry in Animals. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 13(5), 825–834. https://doi.org/10.1109/TBCAS.2019.2923153

Reynolds, J., Ahmmed, P., & Bozkurt, A. (2018). Preliminary Evaluation of an Injectable Sensor for Subcutaneous Photoplethysmography in Animals. 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS). https://doi.org/10.1109/biocas.2018.8584775

Roy, T., Ahmmed, P., Rahman, M. S., Ash-Saki, A., & Harun-Ur-Rashid, A. B. M. (2014). A novel adaptive volterra filter to compensate for speaker non-linearity. 8th International Conference on Electrical and Computer Engineering, 258–261. https://doi.org/10.1109/ICECE.2014.7026856

Ahmmed, P., Ahmed, Z., Rafee, M. I. J., Awal, M. A., & Choudhury, S. M. (2014). Self-localization of a mobile robot using monocular vision of a chessboard pattern. 8th International Conference on Electrical and Computer Engineering, 753–756. https://doi.org/10.1109/ICECE.2014.7026828

Ahmmed, P., Saha, S. S., Sunny, S. M. N. A., Hossain, M. I., & Rafee, M. I. J. (2013). Modeling and simulation of a Microcontroller based power factor correction converter. 2013 International Conference on Informatics, Electronics and Vision (ICIEV), 1–4. https://doi.org/10.1109/ICIEV.2013.6572713