Pamela Bhatti

Pamela Bhatti (S’05-M’06-SM'19) is an Associate Professor and Associate Chair for Innovation and Entrepreneurship at the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Her research is dedicated to overcoming sensory loss in human hearing through focused neural stimulation, and novel implantable sensors. Dr. Bhatti also conducts research in cardiac imaging to assess and monitor cardiovascular disease. She received her B.S. in Bioengineering from the University of California, Berkeley (1989), her M.S. in Electrical Engineering from the University of Washington (1993), and her Ph.D. in Electrical Engineering from the University of Michigan, Ann Arbor (2006). In 2013 she earned an M.S. in Clinical Research from Emory University and serves as the Georgia Tech Research, Education, and Career Development Director for the Atlanta Clinical and Translational Sciences Institute, an NIH-funded center. Committed to translating technology to the clinical setting, in 2016 she co-founded Camerad Technologies, a company dedicated to improving throughput and quality in radiology imaging. Before completing her Ph.D. degree, she researched the detection of breast cancer with ultrasound imaging in the Department of Radiology, University of Michigan (1997-1999). Her industry experience includes embedded systems software development at Microware Corporation, Des Moines, IA, USA (1996-1997), local operating network applications development and customer support at Motorola Semiconductor, Austin, TX, USA (19941995), and research and fabrication of controlled-release drug delivery systems at Alza Corporation, Palo Alto, CA, USA (1986-1990).

Associated articles

JTEHM, Articles, Published Articles
An Adaptive Seismocardiography (SCG)-ECG Multimodal Framework for Cardiac Gating Using Artificial Neural Networks
To more accurately trigger data acquisition and reduce radiation exposure of coronary computed tomography angiography (CCTA), a multimodal framework utilizing both electrocardiography (ECG) and seismocardiography (SCG) for CCTA prospective gating is presented. Relying upon a three-layer artificial neural network that... Read more
JTEHM, Articles, Published Articles
Near Real-Time Implementation of An Adaptive Seismocardiography — ECG Multimodal Framework for Cardiac Gating
   Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are... Read more
JTEHM, Articles, Published Articles
Seismocardiography-Based Cardiac Computed Tomography Gating Using Patient-Specific Template Identification and Detection
    To more accurately trigger cardiac computed tomography angiography (CTA) than electrocardiography (ECG) alone, a sub-system is proposed as an intermediate step toward fusing ECG with seismocardiography (SCG). Accurate prediction of quiescent phases is crucial to prospectively gating CTA, which is... Read more
IEEE PULSE, Society News May/June 2020
JTEHM: The EMB Journey to Open Access
The ultimate goal of engineering in medicine and biology (EMB) researchers is to improve medical care for patients and communities all over the world by providing a collaborative environment for engineer–scientists and clinicians. In order for this collaboration to occur,... Read more
JTEHM, Articles
Combining Optical Character Recognition with Paper ECG Digitization
Objective: We propose a MATLAB-based tool to convert electrocardiography (ECG) waveforms from paper-based ECG records into digitized ECG signals that is vendor-agnostic. The tool is packaged as an open source standalone graphical user interface (GUI) based application. Methods and procedures:... Read more