On behalf of the Computer and Information Science Department, Dr. Boleslaw Mikolajczak, Chairperson, and Dr. Iren Valova, faculty member, are pleased to announce that Mr. Derek Beaton, a graduate student in the MS/CS program, has recently been awarded a NSF Grant for the East Asia and Pacific Summer Institutes program. The mission of the EAPSI is to provide U.S. Graduate students in science and engineering first-hand research to introduce students to East Asia and Pacific science and engineering in the context of a research setting, and to help students initiate scientific relationships that will better enable future collaboration with foreign counterparts.
Mr. Beaton will be working with Dr. Tak-Wai Chan of the Graduate Institute of Network Learning Technologies at National Central University in Taiwan for eight weeks this summer. They will be conducting research on cognitive behavior with respect to AI (Artificial Intelligence); human learning and memory; and education.
Mr. Beaton graduated with his BS from UMass Dartmouth and is now in his second year of graduate studies at the University. He is working as a research assistant under the supervision of Dr. Iren Valova and is also conducting research studies at the Kaput Center for Research and Innovation in Mathematics Education. The proposal, which is an extension of the research that he is working on, was submitted to the NSF in the fall. The abstract is as follows: "A proposal for the exploration into the design of a software based intelligent system to diagnose, classify and potentially predict neurological impairments. This system would use Electroencephalogram (EEG), Magnetic Resonance Images (MRI), psychiatric test results and/or genetic markers as data. The system (CaNIP: Cognitive and Neural Impairment Predictor) would be designed for use as a research tool for scientists, researchers, students and doctors who have a vested interest in the gathering and analysis of cognitive and neural data. CaNIP would be a software system utilizing an Artificial Neural Network (ANN) called a Self-Organizing Map (SOM) and feature extraction techniques, such as clustering. Self-Organizing Maps are unsupervised, competitive ANN algorithms that emulate the auditory and visual cortex regions of the brain. This project builds on 3+ years of course projects and research."
Web sites for further information:
Dr. Tak-Wai Chan: http://chan.lst.ncu.edu.tw/
Author: "Boleslaw Mikolajczak"
Submitted by: C. Allen
Department: College Of Engineering - Cis