Current Members

Lucas Besomi

MS candidate

LEB138@pitt.edu

Education and training
Lucas is a graduate student from the Electrical Engineering department of the French engineering school INSA Lyon. He joined the Electrical and Computer Engineering department of the University of Pittsburgh in 2018, in order to pursue a double MS degree.
Research interests
Lucas’ research investigates the application of machine learning to 12-lead electrocardiograms. The goal of this research is to help clinicians to predict acute coronary syndromes and major adverse cardiovascular events for patients transferred to hospital with chest pain or other symptoms.
Handenur Caliskan

PhD candidate

HAC129@pitt.edu

Education and training
Handenur received her B.S. degree in Electronics Engineering with a Minor in Mathematics from Sabanci University, Istanbul, Turkey in June 2018. She is currently a PhD student in Electrical Engineering.
Research interests
Handenur is interested in deep learning applications in medical imaging. Her current research involves characterization of swallowing difficulties.
Pritika Dasgupta

PhD candidate

prd17@pitt.edu

Education and training
Pritika is a graduate student at the Department of Biomedical Informatics at University of Pittsburgh's Medical school. She graduated from Cornell University in 2012 with a degree in Biological Engineering with a minor in Biomedical Engineering. Then she went to complete a Master of Public Health in Epidemiology and Master of Health Informatics degrees at the University of Michigan School of Public Health and Information Sciences in Ann Arbor, Michigan.
Research interests
Pritika's current research involves analyzing gait accelerometry signals with machine learning and causal hypotheses.
Nicholas G. Franconi

PhD candidate (co-supervised with Dr. Andy Bunger)

ngf3@pitt.edu

Education and training
Nicholas is a Ph.D. student in the Electrical and Computer Engineering Department of the Swanson School of Engineering. He graduated in 2010 with a B.S. in Electrical Engineering with a concentration in Electronics and his M.S. in 2012.
Research interests
His research includes antenna design, electromagnetic propagation and wireless embedded design.
Christopher Greathouse

MS candidate

CAG114@pitt.edu

Education and training
Christopher graduated from Pitt in April 2017 with a B.S. in electrical engineering and a minor in economics. He is currently a Masters student in electrical engineering, and will be pursuing a PhD in electrical engineering in the near future.
Research interests
His research includes deep learning with a focus on applying Generative Adversarial Networks to medical imaging. He has also performed research on lower limb exoskeletons for rehabilitation.
Yassin Khalifa

PhD candidate

ivj2@pitt.edu

Education and training
Yassin received his B.S. and M.S. degrees in 2010 and 2013 respectively from Biomedical Engineering Department, Cairo University, Egypt. After his graduation, Yassin worked as a teaching and research assistant for Cairo University and Nile University where he helped in teaching of several courses in both graduate and undergraduate levels and participated in multiple research projects focusing on big data analytics, machine learning and statistical analysis. Yassin also worked as a senior data scientist for Medstreaming, LLC (a leading American company in healthcare technology) till the end of 2016.
Research interests
Yassin is interested in biomedical signal processing, data science especially big data analytics and the applications of deep learning.
Shitong Mao

PhD candidate

SHM136@pitt.edu

Education and training
Shitong studied at Harbin Institute of Technology from 2004 to 2008, a Chinese engineering school specialized in electrical engineering. He received Master degree in Electronic Measurement and Control from Harbin Institute of Technology, China in 2010.
Research interests
Shitong’s current research revolves around the physiological event detection during swallowing. His projects focus on signal processing, x-ray image processing, and deep learning.
Sohel Sarwar

PhD candidate

sms300@pitt.edu

Education and training
Sohel received his M. Sc. in Electrical Engineering from Texas Tech University and he received his B. Sc. in Electrical & Electronics Engineering from Bangladesh University of Engineering & Technology. Currently he is a PhD student in Electrical & Computer Engineering at University of Pittsburgh. Sohel has over 20 years of industry experience in Research, Development, and Commercialization of Software & Embedded Systems. His current professional focus is to innovate & develop software solutions for healthcare industry.
Research interests
Sohel’s current research revolves around non-invasive brain-computer interfaces and their clinical application.
Kechen Shu

MS candidate

KES247@pitt.edu

Education and training
Kechen studies in the Department of Electrical Engineering at INSA de Lyon, one of the largest engineering graduate school in France from 2014. She is currently completing a dual master degree in electrical engineering from the University of Pittsburgh.
Research interests
Kechen’s current research interests revolve around image processing in biomedical applications.
Zhenwei Zhang

PhD candidate

zhz87@pitt.edu

Education and training
Zhenwei studied at ESIGELEC de Rouen from 2011 to 2015, a French engineering school specialized in electrical engineering. He received dual Master degrees in electrical engineering from ESIGELEC de Rouen, France and University of Pittsburgh, USA in 2016.
Research interests
Zhenwei’s current research revolves around characterization of swallowing difficulties. His projects focus on signal processing, x-ray image processing and machine learning.