People

Dr. Ghoraani joined the Department of Computer & Electrical Engineering at Florida Atlantic University in 2016. Prior to that she was an Assistant Professor at the Department of Biomedical Engineering (2012-2016). Dr. Ghoraani was a postdoctoral fellow in Faculty of medicine at University of Toronto (2010-2012). She has had extensive experience as an engineer working in the field (2000-2005), a teacher, and a researcher. Her achievements were recognized through prestigious scholarships and awards, including Mitacs Elevate Industrial Fellowship (2012), the G. Gordon M. Sterling Engineering Intern Award (2012), nomination for the Governor's General Gold Medal at Ryerson University (2010), the Ontario Graduate Scholarship in Science and Technology (2007-2010), the Graduate Research Excellence and Best TA awards in 2009; and the IEEE Toronto Section Outstanding New Leader Award (2009 and 2011). Dr. Ghoraani has co-authored several peer-reviewed journal papers, conferences papers, one book, and one book chapter. 
Dr. Ghoraani serves as a reviewer for several journals and international conferences.  She has also been active in professional activities, serving as coordinator of IEEE Canada Women in Engineering (WIE), chair of IEEE Toronto WIE, and vice chair of IEEE Toronto Signal Processing Section, in addition to serving as program committee member and technical program coordinator for several IEEE conferences including IEEE Western New York Image and Signal Processing Workshop (2013-15), Queen's Biennial Symposium on Communications (2014), the IEEE Canadian Conference on Electrical and Computer Engineering (2008 and 2011), the IEEE Canadian Women in Engineering National Conference (2011), the IEEE International Conference Science and Technology for Humanity (2009), TELUS Innovation Award Competition IEEE Canada (2008-2009), the IEEE International Conference on Multimedia and Expo (2006).

Education
  • Postdoc, Cardiac Electrophysiology, Medicine, University of Toronto, 2012
  • Ph.D., Electrical and Computer Engineering, Ryerson University, 2010

  • M.Sc., Electrical and Electronics Engineering, Amirkabir University of Technology, 2000
  • B.Sc., Electrical and Electronics Engineering, Sharif University of Technology, 1998
Teaching
  • Numerical and Statistical Analysis of Complex Biosystems (BME 0310-450), Rochester Institute of Technology
  • Biomedical signals and Systems Analysis (BME 0310-440), Rochester Institute of Technology
  • Computations in Genetic Engineering (BME 808), Ryerson University
  • Electronics and Biomedical Sensors (BME 604), Ryerson University

Present

Prasanth Ganesan is a PhD student in Engineering at Rochester Institute of Technology (RIT). His research is focused on designing algorithms for signal analysis of atrial fibrillation. Prasanth completed his MS in Electrical Engineering at RIT in 2015. His MS thesis was about analysis of simulated and clinical cardiac signals. He received his BE degree in Electronics and Communication from St. Joseph’s College of Engineering, Anna University, India. Research interests: Bioinformatics, algorithm design for signal processing and pattern recognition, simulation and modelling of cardiac electrophysiology.Contact: Prasanth Ganesan

Anthony Salmin is a BS/MS Electrical Engineering student with a focus in signal processing. Anthony’s work is focused in determining the locations of Atrial Fibrillations using simulated electrograms and multipolar sensing catheters. Anthony has worked for Ortho Clinical Diagnostics in the R&D department as well as Harris RF Communications as a radio testing engineer. Contact: Anthony Salmin



Kristina Shillieto is a third year undergraduate student pursuing a degree in Electrical Engineering, at the Rochester Institute of Technology (RIT). Her current project involves using Matlab to simulate a Lasso multi-pole diagnostic catheter on a 3D atrial endocardium. This tool collects electrogram information, which can be used for virtual cardiac testing and analysis of an Atrial Fibrillation. Contact: Kristina Shillieto





Murtadha Hssayeni is pursuing his M.S. degree in Computer Engineering at Rochester Institute of Technology (RIT). He is currently working on the assessment of motor fluctuations in patients with Parkinson's Disease using motion analysis as a part of his independent study with Dr. Ghoraani. Murtadha received his Bachelor degree of Science in Computer Engineering from Computer Engineering Department, University of Technology, Iraq. In the past, he worked as an engineer in the same department in communication lab and IT unit. Contact: Murtadha Hssayeni


Vignesh Ramji is currently pursuing his MS degree in Electrical Engineering with a specialization in Communications and Signal Processing at Rochester Institute of Technology (RIT). He is currently working on the Tensor approach of multi-channel sensors for Parkinson's Disease assessment. Vignesh had received his Bachelor's degree in Sri Venkateswara College of Engineering, Anna University, Chennai (2014). Most recently, he has worked for Bosch Security Systems as an Electrical Engineering Intern over the Summer of 2015. Contact: Vignesh Ramji


Nicholas DaCosta is a fourth year undergraduate student pursuing a B.S in Biomedical Engineering, at the Rochester Institute of Technology (RIT). He is working within a team of researchers in collaboration with a neurologist at the University of Rochester developing a novel algorithm to automatically detect Parkinson’s Disease patient medication state fluctuations using unobtrusive and easily available sensors. Contact: Nicholas DaCosta




Isaac Arabadjis is a fourth year undergraduate student pursuing a B.S in Biomedical Engineering. His work involves using Matlab to determine electroencephalogram (EEG) coherence for infants experiencing infantile spasms (IS). Previously, Isaac worked in the Cardiovascular Engineering Lab at the University of Rochester Medical Center, performing strain analysis on raw RF Ultrasound images using Matlab and Lunux CLI. Contact: Isaac Arabadjis





Past Students


Miguel Dominguez, M.S. Electrical Engineering student at the Rochester Institute of Technology (2015-2016). Thesis: Developing a higher-quality and lower-bitrate vocoders for voice communications applications.

Alison Kahn, Biomedical Engineering student at the Rochester Institute of Technology (2015-2016). Project: Quantify EEG signals from children with infantile spasms through the comparison of different aspects of EEGs in both normal and abnormal subjects.

Ronak Patel, M.S. Electrical Engineering student at the Rochester Institute of Technology (Fall 2015). Project: Characterization of the mechanism of atrial fibrillation using probabilistic and machine learning.

Supachan Traitruengsakul, Electrical Engineering Graduate at the Rochester Institute of Technology (2015). Thesis: Extracted features of hyppsarrthymia EEG from children with infantile spasms.

Jefferson Medel, BS/MS Computer Engineering student at the Rochester Institute of Technology (summer 2015). Project: Dictionary Learning and its versatility and applicability regarding different modes of classification.

Sriram Kumar , M.S. in Electrical Engineering at Rochester Institute of Technology (summer 2015). Project: Discovering discriminative dictionaries for robust signal classification.

Ryan Selby, Electrical Engineering student at the Rochester Institute of Technology, (Summer 2015). Project: The examination of cardiac surface unipolar electrograms in conjunction with ECG T-wave alternans.

Anup Jonchhe, Biomedical Engineering undergraduate student at the Rochester Institute of Technology (Summer 2015). Project: The Design and construction of an ECG data acquisition chamber for ex vivo rabbit hearts sustained through the Langendorff ​system.

Erik Messier, Biomedical Engineering undergraduate at the Rochester Institute of Technology (summer 2015). Project: Analysis of the relationship between Sudden Cardiac Death, and abnormalities in T-wave configurations.

Rachel Baumgarten, Biomedical Engineering undergraduate at the Rochester Institute of Technology (summer 2014). Project: Developing a sonification system that alerts patients of Paroxysmal Atrial Fibrillation through music.

Daniel Sinkiewicz, M.S. in Electrical Engineering at Rochester Institute of Technology (2013-2014). Thesis: Developed a novel method for extraction of neural response from cochlear implant auditory evoked potentials.

Mark Sterling, Postdoc, Rochester Institute of Technology, (2013-2014). Project: Characterization of cardiac arrhythmias by applying novel signal processing and learning analyses to physiological signals including the surface ECG.

Steven Ladavich, M.S. in Electrical Engineering at Rochester Institute of Technology (2013-2014). Thesis: Rate-independent detection of atrial fibrillation by statistical modeling of atrial activity.

Amy Zeller, Biomedical Engineering undergraduate, Rochester Institute of Technology (summer 2013). Project: Analysis of body surface mapping of T-wave alternans distribution in patients with myocardial scarring.

Baabak Mamaghani, M.S. in Electrical Engineering, Rochester Institute of Technology (2013). Thesis: Lead optimization for accurate atrial fibrillation detection using an ambulatory ECG recording device.

Andrew Tock, Biomedical Engineering undergraduate, Rochester Institute of Technology (summer 2013). Project: Minimization of cochlear implant stimulus artifact in deaf and hard-of-hearing individuals.

Alexander Martin, M.S. in Health Systems Administration, Rochester Institute of Technology (2012-2013). Project: Investigation of thermal imaging for Atrial Fibrillation treatment.

Brandon Micale, Biomedical Engineering undergraduate, Rochester Institute of Technology (fall 2012). Project: Evaluation of atrial fibrillation organization in left atrium.

Suba Seevaratnam, Biomedical Engineering undergraduate, Ryerson University (2008-2009). Project: Performed MATLAB coding for detection of Twave alternans in body surface mapping ECG recordings.

Mohammad Parahoo, Biomedical Engineering undergraduate, Ryerson University and Sunnybrook Hospital (2009-2010). Thesis: Developed a Graphical User Interface (GUI) for the Research Interface Box (RIB2 Box) in cochlear implant research.

Angela Ip, Biomedical Engineering undergraduate, Ryerson University (summer 2008). Project: Developed C programing for Matching Pursuit analysis for detection of Twave alternans.