Title of dissertation: USER BEHAVIORAL MODELING OF WEB-BASED SYSTEMS FOR CONTINUOUS USER AUTHENTICATION Leslie C. Milton, Doctor of Philosophy, 2015 Dissertation directed by: Professor Atif M. Memon Department of Computer Science University of Maryland, College Park Authentication plays an important role in how we interact with computers, mobile devices, the web, etc. The idea of authentication...

A major deficiency in state-of-the-art automatic speech recognition (ASR) systems is the lack of robustness in additive and convolutional noise. The model of auditory perception (PEMO), developed by Dau et al. (1996a) for psychoacoustical purposes, partly overcomes these difficulties when used as a front end for automatic speech recognition. To further improve the performance of this auditory-b...

In this section, we briefly present the formalism we use. This formalism aims at describing the state of a system and its dynamic behaviour in an algebraic framework [DG 94]. It was first introduced in a case study on a formal specification of the embedded safety part of an automatic subway pilot [DM 91], [Dau 92], [DGM 93], in order to cope with the large number of variables whose values made ...

My thesis focuses on understanding and influencing the behavior and performance of users in large scale task systems. In task systems, multiple participants work independently to solve problems that are presented to them by a computer. From e-learning systems like Khan Academy and Coursera, to citizen science systems like Zooniverse and BugGuide, large scale task oriented systems are booming on...

Analysis and Modeling of Social Influence in High Performance Computing Workloads Shuai Zheng High Performance Computing (HPC) is becoming a common tool in many research areas. Social influence (e.g., project collaboration) among increasing users of HPC systems creates bursty behavior in underlying workloads. This bursty behavior is increasingly common with the advent of grid computing and clou...

Improper designs of the demand response programs can lead to numerous problems such as customer dissatisfaction and lower participation in these programs. In this paper, a home energy management system is designed which schedules appliances of smart homes based on the user’s specific behavior to address these issues. Two types of demand response programs are proposed for each house which are sh...

The present study considers factors that motivate users of social networks to publish different types of privacy-related information to friends or even the public. In contrast to prior research, we do not limit our research scope to an individual's decision-making process (i.e., the formation of behavioral intentions) but also include actual behavior as observed among a group of real Facebook u...

Considering opinions of other users (called advisors) has become increasingly important for each user in open and dynamic online environments. However, users might be subjectively different or strategically dishonest. Previous approaches on this problem generally suffer from the issue of limited (especially shared) historic experience when tracking each individual advisor’s behavior. In this pa...