One of the great parts of my job is working with students on research and software development. This page collects information for and about those students.
If you are interested in doing research with me, there are two basic steps:
- Get a feel for the kinds of things I and my group do; you can do this by looking at my research projects, reading some of my papers, and/or taking one of my classes.
- Get in touch and tell me something about what you find interesting and the kinds of things you might like to do.
If you are curious about the kinds of skills you need or will learn in the course working on research with our group, see my student research skills list.
If you are e-mailing me about our graduate program, please see my e-mail guidance.
Students intrested in doing graduate work me and the People and Information Research Team (PIReT), should apply to our M.S. in Computer Science or Ph.D in Computing program. Feel free to e-mail me, but I am not directly involved in admissions and rarely commit to a student until after the admissions process. I also likely don’t know how many funding lines I will have available until the spring.
I am not directly involved in this project, but if you are interested in the kinds of research I do, you may be interested in the Child Adaptive Search Tool project, which is currently taking applications for Ph.D students.
I am also interested in involving Boise State undergraduate students in our research. Sometimes I have funds myself for paid research opportunities; the university also has several programs that support undergraduate students involved in faculty research, and I am happy to discuss the possibilities of doing an independent study or an opportunity where you get course credit for research.
- Mucun Tian (M.S.)
- Sushma Channamsetty: MS 2016 at TXST (thesis: Recommender Response to User Profile Diversity and Popularity Bias)
- Mohammed Imran R Kazi: MS 2016 at TXST (thesis: Exploring Potentially Discriminatory Biases in Book Recommendation)
- Vaibhav Mahant: MS 2016 at TXST (thesis: Improving Top-N Evaluation of Recommender Systems)
- Shuvabrata Saha: MS 2016 at TXST (co-advised with Dr. Apan Qasem) with the thesis A Multi-Objective Autotuning Framework For The Java Virtual Machine