The iSchool at Syracuse University produces top-notch PhDs in Science and Technology. iSchool doctoral graduates build on our 40 year history of impact and innovation. Each graduate embodies the iSchool’s distinguishing characteristics of interdisciplinarity, the roles of information, and the contributions of technologies. Graduates have developed skills in leading classes, participated in academic service, and pursued independent scholarship that is subject to review and approval by a committee of seven academics, including two from outside the faculty of the iSchool.
The following students are on the job market for the 2016-17 academic year and we encourage you to return often as this page is updated frequently.
I defended my dissertation in December 2015.
Advisor: Kevin Crowston
221 Hinds Hall
I defended my dissertation in March 2016.
Advisor: Milton Mueller
I completed my dissertation in September 2015 and graduated from the PhD program in December 2015. My dissertation explores fostering higher order learning skills through experiential learning by game design within the library space. My academic training is in the information science field.
My primary research interest lies within the domain of computer supported collaborative learning (CSCL) with a focus on digital youth. Much of my research revolves around the following themes: coding as a literacy, game design in experiential learning environments, exploration of learning theories in collaborative learning spaces, socio-technical approaches in learning environments; learner characteristics in distance learning, collaborative learning within the wireless grids sphere, role of libraries and librarians as learning facilitators in the networked world. One of my current goals is to link the explorations occurring in CSCL, with research and evolving practice models relating to libraries.
More recently, I have become very interested in the smart grid phenomenon. Exposure to this domain began with my graduate and postgraduate work with the smart grid research team at Syracuse University. However, my sustained interest was primarily catalyzed by the realization of its impact. From my view, smart grids can be considered as one of the biggest technological revolution happening within this decade. While this area does not fall within my primary research sphere, working in this arena has help me to become more nimble and adaptable as a researcher as well as offering me opportunities to hone my research skills in quantitative and qualitative research methods.
Before joining the PhD program I taught as an adjunct instructor in courses related to digital libraries, data and content management, digital information retrieval, library systems and technologies. I maintained my teaching throughout the program. As a librarian I was mainly involved in the application of technologies to streamline operations. In my courses I draw upon my work experiences and bring real cases into the classroom. I am interested in teaching courses with a more technical spin; more specifically - database design and management, web development, web content management and research design for graduates.
Advisor: Scott Nicholson
Recently Placed PhD Students
Advisor: Jeff Stanton & Jason Dedrick
Janet is currently part of a team working on a NSF-funded study called "Urban Resilience to Extremes Sustainability Research Network," which explores urban infrastructure and sustainability. Marsden's role is to provide data management for ten partner cities, and computational support for data analytics and visualization for researchers in eight working groups conducting multidisciplinary research on urban infrastructure resilience to extreme climate events.
Advisor: Jenny Stromer-Galley
Matt is a researcher at the Oxford Internet Institute at the University of Oxford. He is working on an interdisciplinary project that looks at the role of automation in general practice primary care services in the NHS. Specifically, Matt is responsible for a multi-methodological approach to understanding the work tasks that occur in the general practice setting and then working with a team at the Department of Engineering Science to model the probability of automating specific work tasks and how those tasks might be automated through machine learning, artificial intelligence, and robotics.
You can read more about the project here: http://healthautomation.oii.ox.ac.uk/
In addition to the health automation project Matt continues to grow as an academic through teaching and advising students at Oxford while advancing his own research agenda.
Jasy returned to Malaysia where she is working as a Lecturer at the School of Computer Sciences, Universiti Sains Malaysia (USM).
You can learn more about Jasy here >> http://www.cs.usm.my/index.php/jasyliew