Welcome to Javad Rahimipour Anaraki's Homepage

Javad Rahimipour Anaraki

Brief biography

I received my Ph.D. from the Department of Computer Science, Memorial University of Newfoundland, supervised by Dr. Samet, Dr. Banzhaf and Dr. Usefi. I have developed a new noise-robust and scalable feature selection method called perturbation-based feature selection inspired by a historical monument in Isfahan called Monar Jonban (Shaking Minarets), and implemented using perturbation theory and system of equations. I work with Dr. Fuller at BEAP lab (former Walkabilly lab), on detecting transportation modes and different types of physical activities through analyzing data-streams sourcing from smartphones and wearable smart devices, such as GENEActiv, SenseDoc, ActiCal, ActiGraph, Apple Watch and Fitbit.

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.