GMU Software Engineering Seminar Series

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Date: Thur, 04/30/2009

Time: 12 – 1pm

Location: 3507 Engineering

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Title: Privacy-Enhanced Trust Management

Speaker: Dalal Alarayed

Abstract
This talk will focus on research being conducted as part of Dalal Al-Arayed's dissertation which aims to produce a conceptual framework that extends current trust models to cover the needs of smart spaces (Trust in Smart Spaces- TISS); and that is generalized to be applicable across multiple problem scenarios (Generalized- TISS). It will cover the employment of privacy policies right at the beginning of the trust formation function to direct the application of the trust model for decision making. This adds a human factor and enables the user to personalize the trust model.

Bio
Dalal Al-Arayed is a doctoral candidate in the IT program. She has her BS in Computer Science with a minor in Business Administration from Coastal Carolina University, and her MS in IT from the University of North Carolina at Charlotte. She is an international student from Bahrain.

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Title: Game Theory for Dummies

Speaker: Zeynep Zengin

Abstract
Optimization problems are computational problems that address to find the best solution among all feasible solutions. This field of research sits in the intersection of Artificial Intelligence, Mathematics, and Software Engineering. An optimization can be the interest of one or more users. One user optimization problems can be like best choice of essentials, shortest traveling route etc. Multi user optimization problems can be network load distribution, bidding optimization, or QoS optimization when the system is used by more than one person. This type of problems requires balancing the outcome within all users. Game theory formalizes the outcomes of each user considering every possible way of action for each user. It formulates the best choice of a user depending of choices of other users. When there is a global or local optimal solution where all users want to stay with their strategies, this situation is called Equilibrium. The desired solution of a multi user optimization problem is to formulate it game theoretically and reach to an equilibrium point.

Bio
Zeynep Zengin is a PhD student in Computer Science Department, Volgenau School of Information Technology and Engineering. She got her bachelor’s degrees on Information Systems with double major of Computer Engineering from Isik University, Istanbul, Turkey. She also holds a Master of Science degree in Computer Engineering from Bogazici University, Istanbul, Turkey. Her current research mainly focuses on end-user development, self adapting systems, ubiquitous computing, and Computation Tree Logic.