Wednesday, July 20, 2016

Nagurney Presents at EURO 2016

Nagurney Presents at EURO 2016 - Poznan, Poland

Ladimer S. Nagurney, professor of electrical, computer, and biomedical engineering in CETA,  presented Physical Proof of the Occurrence of the Braess Paradox in Electrical Circuits at the 28th European Conference on Operational Research held July 3-6. 2016 in Poznan, Poland.
The work described the first measurements to show the existence of the Braess Paradox in a macroscopic electrical circuit. The measurements were made as part of his activities during his AY 15-16 sabbatical at the Department of Electrical and Computer Engineering at the University of Massachusetts Amherst.

The presentation was co-authored with Professor Anna Nagurney of the Isenberg School of Management at University of Massachusetts and may be viewed here.

Milanovic and Eppes Publish Paper

Milanovic and Eppes Publish Paper at the ASME Fluids Engineering Division Summer Conference

Posted 07/12/2016
Category: Accolades
Ivana Milanovic, professor of mechanical engineering, CETA, and Tom Eppes, professor of electrical engineering, CETA, published a paper at the American Society of Mechanical Engineers (ASME) Fluids Engineering Division Summer Meeting (FEDSM) in Washington, DC. The Fluids Engineering Division (FED) sponsored this meeting jointly with ASME Heat Transfer Division and the International Conference on Nanochannels, Microchannels, and Minichannels (ICNMM).  This year marks FED 90th anniversary.

The paper, ‘Application Building in Undergraduate Courses with a Simulation Component,’ is a case study in thermo-fluids course design. The objectives were to better illustrate thermo-fluids concepts, embed simulations and research, and facilitate application building in the context of the undergraduate three credit lecture course. The approach combines project- and inquiry-based learning and emphasizes the importance of outside-of-class learning. The authors gratefully acknowledge support provided by University of Hartford Educational Technology and Strategic Plan Goal 1 grants.
Milanovic also co-organized the 17th Symposium on Fundamental Issues and Perspectives in Fluid Mechanics, and 9th Symposium on Transport Phenomena in Mixing. Milanovic additionally co-chaired sessions on Cavity, Jet, and Pipe Flows and Transport Phenomena in Mixing I: Jets. This marked the 13th year of her activities on the Fluid Mechanics Technical Committee co-organizing symposia, forums and poster sessions.

Salehi Publishes Paper

Salehi Publishes Paper Based on NIH-Funded Research Project in "Journal of Biomedical Optics"

Dr. Hassan S. Salehi, visiting assistant professor of electrical and computer engineering in the College of Engineering, Technology, and Architecture, published an article based on the NIH-funded research in the SPIE Journal of Biomedical Optics, Volume 21, Issue 4, 046006, 2016. The paper, “Coregistered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studies,” was written by lead author Dr. Salehi along with his collaborators at the University of Connecticut, Department of Electrical and Computer Engineering, Department of Biomedical Engineering, and the University of Connecticut Health Center (UConn Health).

The paper reports on a study testing capabilities of a novel co-registered photoacoustic and ultrasound imaging system and classification algorithms using machine learning techniques for ovarian cancer diagnosis. Most ovarian cancers are diagnosed at advanced stages due to the lack of efficacious screening techniques. As a result, there is an urgent need to improve the current clinical practice by advancing the conventional imaging systems and detecting early malignancies in the ovary. Photoacoustic tomography (PAT) is an emerging imaging modality with great potential to assist transvaginal ultrasound for ovarian cancer screening. Therefore, the authors have developed their co-registered photoacoustic tomography (PAT) and ultrasound (US) prototype system for real-time assessment of ovarian masses. Features extracted from PAT and US angular beams, envelopes, and images were input to a logistic classifier and a support vector machine (SVM) classifier to diagnose ovaries as benign or malignant. A total of 25 excised ovaries of 15 patients were studied and the logistic and SVM classifiers achieved sensitivities of 70.4 and 87.7%, and specificities of 95.6 and 97.9%, respectively. Furthermore, the ovaries of two patients were non-invasively imaged using the PAT/US system before surgical excision. By using five significant features and the logistic classifier, 12 out of 14 images (86% sensitivity) from a malignant ovarian mass and all 17 images (100% specificity) from a benign mass were accurately classified; the SVM correctly classified 10 out of 14 malignant images (71% sensitivity) and all 17 benign images (100% specificity). These initial results demonstrate the clinical potential of the PAT/US technique for ovarian cancer diagnosis.

This research was supported by the National Institutes of Health (NIH grant number: R01CA151570).