Since Fall 2011 I am a RightNow Technologies Assistant Professor of Computer Science at Montana State University. I have received my PhD in Computer Science from the Computer Science Department at the University of California, Santa Barbara, where I was advised by Professor Kevin Almeroth's and Professor Elizabeth Belding. Before joining UCSB I worked for Anzus Inc. in San Diego, who have since been acquired by Rockwell Collins. Before coming to San Diego, I graduated from the University of Pennsylvania with an MSE in Computer Science and a BA in Cognitive Science, cum laude.
At MSU I am a co-director of the Network+Algorithms Lab. My students and I focus on making the networks more interactive to improve the Quality of User Experience (QoE) in applications such as interactive Web, online gaming, augmented reality, human-AI interactions (ex. Siri), and mobile apps. We are also invoved in several interdisciplinary projects with connected vehicles, automatic transportation systems, and sexual assault prevention.
Thinking about a PhD in Computer Science? Pursuing a doctoral degree is one of the most challenging, rewarding, and affirming experiences. If you would like to know more about what to expect from a PhD program, check out the advice for graduate students on my research page. Here are a few reasons why you should consider MSU and how to apply. For more general information about MSU, check out our viewbook.
The choice of an advisor is as important than the choice of the graduate school. If you are interested in working with me at MSU please take a look at my research page. There you can find out about my research interest, projects, and publications. If you would like to talk with me about coming to MSU, or about project and funding opportunities, feel free to email me, or schedule a meeting. If you are a Masters student I have several projects in the areas of mobile applications, database design, and network experimentation you can get involved with right away.
Finally the Networks+Algorithms lab is actively recruiting new PhD students for the following project:
- Preventing Accidents in Connected Vehicles. As vehicles become autonomous and situationally aware they will communicate and coordinate their behavior to increase road safety. By improving communication within clusters of vehicles, we can improve the performance of distributed algorithms necessary for coordinated collision avoidance.
- Ultra Responsive Cellular Networks. In spite of over two decades of research in improving cellular network performance, lack of responsiveness of mobile applications remains a problem. Our approach involves streamlining protocol interactions in mobile testbeds and large data analysis from content distribution networks.
- Sexual Assault Alert Network. Few things are more terrifying than being the victim of a sexual assault. Our goal is to make sexual assault less frequent by making it easier for people to call for help, whether the assault is happening at a refugee camp or at an organized event. This project is a collaborative effort to design, implement, and deploy a wireless alert network that will makes it simple to call for help and leads to a cultural change around secual assault.
- Quality of User Experience in Multi-User Applications. Whether a user be human or artificial (e.g., Siri), assuring the quality of user experience is essential for applications such as remote collaboration and gaming. In this lab, we develop algorithms for lag mitigation and resource planning in distributed systems.
- Demographics of Network Performance. Network performance is not homogeneous, and detecting the cause of the performance disparity is important for improving overall network quality. We approach this problem to considering functional data on graphs, and employing techniques from topological data analysis to detect relationships between different regions of those graphs.
Tel: (406) 994-3541
Office hours: Mondays and Tuesdays 3:10-4PM and by appointment in EPS 361. To schedule an appointment outside of office hours, please take a look at my calendar below and email me with a time that's not already taken.