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 Graduate Students

Prasanth Ganesan is a fourth year PhD candidate in Electrical Engineering at Florida Atlantic University. His research is focused on developing signal processing algorithms to localize the re-entrant sources of atrial fibrillation. He earned his MS degree in Electrical Engineering from Rochester Institute of Technology in 2015. His Master's thesis was on characterization of signals during atrial fibrillation. In 2013, he received his Bachelor of Engineering degree in Electronics and Communication Engineering from Anna University, Chennai. His area of interests are Signal/image processing, Pattern recognition/Deep learning, Statistical estimation, and Mathematical modelling.Contact: Prasanth Ganesan

Murtadha Hssayeni is pursuing his Ph.D. degree in Computer Engineering at Florida Atlantic University. His research interests are signal processing and machine learning. He is currently working on developing an automated method to estimate the severity of Parkinson's Disease using motion analysis and deep learning. He is also working on an algorithm for Intracranial Hemorrhage detection and segmentation. Murtadha received his M.S. degree in Computer Engineering form Rochester Institute of Technology (RIT) and his B.S. in Computer Engineering from University of Technology, Iraq. Contact: Murtadha Hssayeni

Tuan Vo is pursuing his Ph.D. degree in Electrical Engineering at Florida Atlantic University. His research interests are signal processing and electrical circuit designing. Tuan earned his MS degree in Electrical Engineering at Seoul National University of Science and Technology (Seoultech), in Seoul, South Korea, in 2018. His Master’s thesis was designing CMOS neural stimulation IC for implantable medical devices. In 2015, he received his Bachelor of Engineering degree in Biomedical Engineering at International University- Ho Chi Minh City, in Vietnam. Contact: Tuan Vo

Lillian Boettcher is an undergraduate student working towards a bachelor's degree in Computer Science at Florida Atlantic University. She is a dual-enrolled high school student through the school's FAU High School program. As an undergraduate researcher she assists and learns under Dr. Ghoraani's graduate students in machine learning. She is primarily working on the deep learning aspect of the Parkinson's Disease research project.



Past Students

 

Anthony Salmin BS/MS Electrical Engineering degree, Rochester Institute of Technology (2015-2016). Thesis: Determining the locations of Atrial Fibrillations using simulated electrograms and multipolar sensing catheters.

Vignesh Ramji MS degree in Electrical Engineering with a specialization in Communications and Signal Processing at Rochester Institute of Technology (2015-2016). Thesis: Tensor approach of multi-channel sensors for Parkinson's Disease assessment.

Murtadha Hssayeni M.S. Computer Engineering student at the Rochester Institute of Technology (2015-2016). Thesis: Developing an automated method to estimate medication fluctuation of Parkinson's Disease using motion analysis and deep learning.

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.

Kristina Shillieto B.Sc. Electrical Engineering, Rochester Institute of Technology (RIT). Project: Simulataion of a Lasso multi-pole diagnostic catheter on a 3D atrial endocardium for virtual cardiac testing and analysis of an Atrial Fibrillation.

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.

Nicholas DaCosta B.S in Biomedical Engineering, at the Rochester Institute of Technology (RIT). Project: Developing a novel algorithm to automatically detect Parkinson’s Disease patient medication state fluctuations using unobtrusive and easily available sensors.

Isaac Arabadjis B.S in Biomedical Engineering, at the Rochester Institute of Technology (RIT). Project: Developed Matlab Algorithms to determine electroencephalogram (EEG) coherence for infants experiencing infantile spasms (IS).

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.