The Marketing Management Association awarded Drs. Beverlee Anderson, Glen Brodowsky and Camille Schuster with the Best Paper in Track - Global Marketing at the Spring Educators' Conference
in March 2012 for their paper, "Temporal Patterns and Orientation: Cross-Cultural Differences of Importance to Marketers."
Soheila Jorjani, Ph.D.
On December 17, 2011 Dr. Soheila Jorjani delivered a workshop to MBA students of Qafqaz University. Adiljan Abdurazzak, a senior lecturer of Operations Management at the MBA Program of Qafqaz University, and Dr. Jorjani met with MBA students to discuss quantitative tools of forecasting in a business setting.
Dr. Brodowsky received university president Karen Haynes' 2011 President's Outstanding Faculty Award for Service Leadership.
Dr. Aboolian's paper entitled "Profit maximizing distributed service system design with congestion and elastic demand" was accepted for publication in the Transportation Science Journal. Below is an
abstract of Dr. Aboolian's paper.
In this paper we developed a service network design model that explicitly takes into account the elasticity of customer demand with respect to travel distance and congestion delays. The model incorporates a feedback loop between customer demand and congestion at the facilities. The problem is to determine the number of facilities, their locations, their service capacity and the assignment of customers to facilities so as to maximize the overall profit of the system. An exact algorithm and heuristics are developed and tested via computational experiments. While our model is of “directed choice” type where the assignment of customers to facilities is controlled by the decision- maker, computational results show that in the vast majority of the cases the customers are assigned to the utility-maximizing facility, indicating there is no conflict between the customers’ and decision-makers’ goals. A case study of locating preventive medicine clinics in Toronto, Ontario illustrates the model.
Vassilis Dalakas, Ph.D.
Associate Professor of Marketing Vassilis Dalakas, Ph.D., was awarded the 2011 Outstanding Marketing Teacher of the Year Award by the Academy of Marketing Science (AMS). The award recognizes his teaching record and his accomplishments in the field of marketing education. As a recipient, he participated in a special teaching session at the annual conference, which was held at the Biltmore Hotel in Coral Gables, Florida in May of last year.
Dr. Dalakas also participated in Advertising Educational Foundation's Visiting Professor Program in July 2010. Hosted by McCann Erickson, Dr. Dalakas went through and eight-day internship to learn more about the current state of the field of advertising. In turn, he presented his host with a lecture on his expertise.
Dr. Pillai, CoBA Professor and Executive Director of the Center for Leadership Innovation and Mentorship Building (CLIMB), was honored with the 2010-11 Harry E. Brakebill Distinguished Professor Award, the highest faculty distinction at Cal State San Marcos. Named after the former executive vice chancellor of California State University who was instrumental in the creation of the San Marcos campus, the Harry E. Brakebill Distinguished Professor Award was established in 1998 to celebrate the accomplishments and contributions of outstanding faculty.
Dr. Oskoorouchi's paper entitled "An interior point constraint generation algorithm for semi-infinite optimization with healthcare application" was accepted for publication in the Operation Research Journal. Below is an abstract of Dr. Oskoorouchi's paper.
Leksell Gamma Knife Perfexion treatment planning is a highly specialized treatment for brain tumors. We present an interior point constraint generation algorithm to solve the sector duration optimization problem arising in this treatment. Using real patient data provided by the Department of Radiation Oncology at Princess Margaret Hospital in Toronto, we show that the proposed algorithm can efficiently handle problems in healthcare applications by providing a quality treatment plan in a timely manner. Comparing the computational results with MOSEK, we show that our algorithm outperforms commercial software packages.