Dr. Emil Jovanov

Professor, ECE

Contact

320 Sparkman Drive
Olin B. King Technology Hall
Room N355
Huntsville, AL 35899
Campus Map

256.824.5094
emil.jovanov@uah.edu

Biography

Dr. Emil Jovanov is Professor in the Electrical and Computer Engineering Department at the University of Alabama in Huntsville. He received his Dipl. Ing. and M.S. degree in Electrical Engineering, and PhD in Computer Engineering from the University of Belgrade. He is recognized as the originator of the concept of wireless body area networks for health monitoring and he is one of the leaders in the field of wearable health monitoring. His research interests include Wearable health monitoring, IoT (Internet of Things), wireless and sensor networks, ubiquitous and mobile computing, and biomedical signal processing. Dr. Emil Jovanov is an IEEE Fellow, and serves as a member of the Conference Editorial Board and Theme 7 Editor (Biomedical Sensors and Wearable Systems) of IEEE EMBS, a member of IEEE EMBS Technical Committee on Wearable Biomedical Sensors and Systems, Associate Editor of the IEEE Access, IEEE Open Access Journal of Engineering in Medicine and Biology, IEEE Journal of Biomedical and Health Informatics, and IEEE Transactions on Biomedical Circuits and Systems, and Editorial Board member of Applied Psychophysiology and Biofeedback. Dr. Jovanov received Outstanding Senior Faculty Member, Huntsville Engineer’s Week, 2020, 2017 IEEE Outstanding Educator Award, and 2014 Innovator of the Year Award. He published more than 220 papers, 17 book chapters, and 9 U.S. patents.

Dr. Emil Jovanov's Personal Website


Education

  • Ph.D., Electrical Engineering, University of Belgrade, Yugoslavia, 1993
  • M.S., Electrical Engineering, University of Belgrade, Yugoslavia, 1989
  • Dipl. Ing., Electrical Engineering, University of Belgrade, Yugoslavia, 1984

Honors & Awards

  • 2020 International Journal of Software Engineering (IJSE) Paper of the Year Award, for paper: M. T. Shrove, E. Jovanov, “Software Defect Trend Forecasting in Open Source Projects using A Univariate ARIMA Model and FBProphet,” International Journal of Software Engineering (IJSE), Vol. 8, May 2020.
  • Outstanding Senior Faculty Member, Huntsville Engineer’s Week, 2020
  • IEEE Fellow, 2020
  • 2018 PROSE Award in Clinical Medicine for book “Principles of Gender-Specific Medicine, Gender in the Genomic Era. Third Edition,” Elsevier 2017, Marianne J. Legato, Ed.; Book Chapter E. Jovanov, K. H. Frith, P. Madhushri, A. Hunter, S. S. Coffey, A. Milenkovic, “Gender differences in mobility of elderly: Measurements and interventions to improve mobility.”
  • 2018 The American Journal of Nursing Book of the Year “Applied Clinical Informatics for Nurses,” Second Edition 2017, S. Aleksander, K. H. Frith, and H. Hoy, Eds. Burlington, MA: Jones and Bartlett Learning; Book Chapter M. Milosevic, E. Jovanov, A. Milenkovic, and S. Alexander, “Mobile Health Applications.”
  • 2017 IEEE Outstanding Educator Award
  • 2016 UAH College of Engineering Outstanding Faculty Research Award
  • 2014 Innovator of the Year Award, Economic Development Partnership of Alabama

Expertise

  • Real-time and embedded systems
  • Physiological monitoring
  • Biomedical signal processing

Recent Publications

  • C. Adans-Dester et al., "Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?" in IEEE Open Journal of Engineering in Medicine and Biology, doi: 10.1109/OJEMB.2020.3015141, https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9162431

  • M. T. Shrove, E. Jovanov, “Software Defect Trend Forecasting in Open Source Projects using A Univariate ARIMA Model and FBProphet,” International Journal of Software Engineering (IJSE), Vol. 8, May 2020.

  • M. T. Shrove, E. Jovanov, “Early Outcome Prediction of Software Projects using Software Defects and Machine Learning,” Journal of Software Engineering Practice, Vol. 4, No. 1, pp. 1-12, May 2020.

  • B. Lai, K. Bond, Y. Kim, B. Barstow, E. Jovanov, C.S. Bickel, “Exploring the uptake and implementation of tele-monitored home-exercise programmes in adults with Parkinson's disease: A mixed-methods pilot study,” J Telemed Telecare, 2020 Jan-Feb, 26(1-2), pp. 53-63, doi: 10.1177/1357633X18794315. Epub 2018 Aug 22.

  • E. Jovanov, “Wearables Meet IoT: Synergistic Personal Area Networks (SPANs),” Sensors 2019, 19(19), 4295; https://doi.org/10.3390/s19194295; open access: https://www.mdpi.com/1424-8220/19/19/4295