Welcome to Javad Rahimipour Anaraki's Homepage

Javad Rahimipour Anaraki

Brief biography

I am a Ph.D. candidate in the Department of Computer Science, Memorial University of Newfoundland, supervised by Dr. Samet, Dr. Banzhaf and Dr. Usefi. I have been developing a new robust and scalable feature selection method by analyzing geometric characteristics of datasets to effectively decrease model complexity and reduce the effect of noise, aiming to improve resulting classification accuracy. I work with Dr. Fuller at BEAP lab (former Walkabilly lab), on detecting transportation modes and different types of physical activates through analyzing data-streams sourcing from smartphones and wearable smart devices, such as GENEActiv, SenseDoc, ActiCal, ActiGraph, Apple Watch and Fitbit. I also work with Dr. Smith on analyzing internal jugular vein ultrasound images to predict patient sitting position.

I received my Master degree from the Department of Computer Engineering at Shahid Bahonar University of Kerman under the supervision of Dr. Eftekhari and Dr. Mohammadi, where I proposed a set of improvements on existing fuzzy-rough set based feature selection methods.

I received my Bachelor degree from the Department of Computer Engineering at the Shahid Ashrafi Esfahani University, supervised by Dr. Kaedi, where I have designed a framework based on self-organizing map neural networks to distinguish Persian handwritten digits.

Research interests

Publications

Awards

Certifications

Contact information

Department of Computer Science
Memorial University of Newfoundland
St. John's, NL, A1B 3X5 Canada
Office: EN-1044C
Tel: +1 (709) 864-2457
Email: jra066 [AT] mun [DOT] ca

More information

I am also on LinkedIn, Google Scholar, GitHub, Harvard Dataverse, Stack Overflow, Twitter, Flickr, and YouTube.