CMINDS Research recognized at the 2013 IEEE International Conference on Technologies for Homeland Security
On Nov. 12, 2013, Professor Dalila Megherbi and her student Iliana Voynichka were honored at their IEEE International Conference on Technologies for Homeland Security
(HST) for their work mentioned in Researchers Focus on Facial Recognition System for Homeland Security
. Their work was presented in their paper titled “Analysis of the Effects of Image Transformation, Template Selection, and Partial Information on Face Recognition with Time-Varying Expressions For Homeland Security Applications.” Their paper won the “Best Paper Award” for all of the HST.
CMINDS Research in Homeland Security Relates to Boston Bombing
The Boston Marathon attack is a timely and painful reminder of the importance of developing accurate, reliable facial recognition algorithms. Some recent research at the CMINDS has been focusing on facial recognition, especially with time-varying facial expressions and/or disguises, which are crucial in many homeland security applications.
In particular, in this research work Prof. Megherbi and her student, Iliana Voychnika, show the effects on facial recognition accuracy of some seleted factors including image facial registration with or without off-the-plane image rotation, the type and number of individual’s face template(s) selection, and the type and increasing amounts of partial facial information contained in face images. Professor Megherbi and her student have been invited to present these findings and related experimental results at the IEEE Homeland Security Conference in Fall 2013.
Thesis Defense: On July 26, 2013, Mr. Paul Beaulieu defended his MS thesis titled “A Study of the Effect of Feature Reduction By Selecting the Significant Pixels For Object Representation, Classification and Prediction.”
Thesis Defense: On March 27, 2013, Ms. Iliana Voynichka defended her MS thesis titled: “Analysis of The Effects of Image Registration, Template selection, and Partial Information Compilation of Facial Recognition Accuracy.”
In October 2012, Prof. Megherbi was invited to the FDA-lead international collaborative project Conference to discuss and to share research results found at the CMINDS research center, Spring 2012, SAS headquarters, North Carolina.
In November 2011, Prof. Megherbi presented the first concept/need of Multi-Agent Distributed Dynamic Scheduling for Monitoring and Surveillance of Large Distributed Critical Key Infrastructures and Resources (CKIR) that span thousands of miles, at the 2011 IEEE International Conference on Technology for Homeland Security.
In May 2011, Prof. Megherbi was invited to the FDA-lead international collaborative project conference to discuss and to share research results found at the CMINDS research center, UMass Lowell, Spring 2011, SAS headquarters, North Carolina.
In May 2010, Prof. Megherbi was invited to the FDA-lead international collaborative project conference to discuss and share research results found at the CMINDS research center, UMass Lowell, Spring 2010. NIH/FDA headquarters, D.C.
In June 2007, The CMINDS graduated the first Ph.D. in Computer Engineering, within the Department of Electrical and Computer Engineering at UMass Lowell, Dr. Carlos Bejar, who currently holds a position at Motorola.