Abdul Qadir Javaid

Abdul Qadir Javaid received the B.S. and M.S. degrees from the University of Engineering and Technology, Lahore, Pakistan, and Newcastle University, U.K., in 2007 and 2008, respectively. He was with the Electrical Engineering Department, National University of Computer and Emerging Sciences, Lahore, from 2010 to 2011. He received MS and PhD in Electrical Engineering from Georgia Institute of Technology, Atlanta, Georgia, in 2016. He worked at Intelligent Assistive Technology and Systems Lab (IATSL), University of Toronto, as a postdoctoral scholar from 2016 to 2018. Currently, he leads the data science and intelligent algorithms team at Myant, Inc. His current research interests include biomedical devices, signal processing algorithms for bio-signals, and machine learning.

Associated articles

JTEHM, Articles, Published Articles
Unobtrusive Detection of Simulated Orthostatic Hypotension and Supine Hypertension using Ballistocardiogram and Electrocardiogram of Healthy Adults
Effective management of neurogenic orthostatic hypotension and supine hypertension (SH-OH) due autonomic failure requires a frequent and timely adjustment of medication throughout the day to maintain the blood pressure (BP) within the normal range, i.e., an accurate depiction of BP... Read more
JTEHM, Articles, Published Articles
Elucidating the Hemodynamic Origin of Ballistocardiographic Forces: Towards Improved Monitoring of Cardiovascular Health at Home
The ballistocardiogram (BCG), a signal describing the reaction forces of the body to cardiac ejection of blood, has recently gained interest in the research community as a potential tool for monitoring the mechanical aspects of cardiovascular health for patients at... Read more