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




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.