Potential Double Hoo Projects
The following graduate students are seeking undergraduate students to collaborate on a Double Hoo research proposal.
Name: Cara Goman
Department: Spanish, Italian, and Portuguese
The basic idea is to try and tackle the problem of anxiety in the foreign language classroom. Next semester, two other instructors and I will be conducting a phase I experiment, integrating contemplative practices -- including breathing exercises, relaxation techniques, movement, etc. -- to measure what effect (if any) these might have on reducing students' anxiety. Our class will be advanced-beginner Spanish.
I would propose to use the Double Hoo Research award to continue this research in the summer or spring. I would be interested in working with an undergraduate whose areas of interest are contemplative practices/contemplative pedagogy and/or foreign language learning.
Name: Matthew Shi
"Media industries have profound impacts on daily life and commercial activities. My current project investigates a series of economic questions in a leading media -- the US magazine industry. In 2012, US households subscribed to 2 - 3 magazines on average. To influence consumer decision, advertisers spent $20 billion (or 1/1000 of U.S. GDP) on magazine ads, making the magazine industry the second largest media in terms of ad revenues. I look at important issues in the industry, including (but not limited to) consumer preference for ads in magazines (e.g., do people really dislike ads), advertising decisions (e.g., how to do "targeted advertising") , and platform market powers (i.e., how much more can magazines charge beyond costs). This research takes a novel economic model to real-world data on US magazines. Depending on the undergraduate collaborator's interests, one can: (1) get to know economic theories of consumer behavior, firm and advertising, (2) get in touch with a unique data-set, and (3) explore innovative ideas and questions that you come up with."
Name: Shane Xia
Department: System Engineering
The project is mainly based on data mining, especially text mining. We collect the professors' information from the top 20 universities' in the states in Operation Research& Industrial Engineering department. It includes Professors all kinds of publications, their researches, their position, how long they have worked as faculty, the abstracts about their publications.....
Then we can do data analysis on the big data, to uncover the pattern what factors influence a professor most in the promotion from an assistant professor to accociate professor. And we can predict any professor if he or she can get tenured using our model set up.
That is a really interesting project, lead by my professor- Prof. Brown in system engineering.
Name: Nathan Seifert
A Framework for Automated Broadband Molecular Spectral Analysis and Databasing
The primary focus of the Pate lab is developing new techniques in broadband molecular spectroscopy. This includes instrument development, performing benchmark and cutting edge measurements, and application design. My research primarily focuses on the application design side of things.
Since the software typically used in the field has been fragmented and is dominated by legacy code in archaic programming languages, it has been my goal to develop a framework for doing computationally-enabled molecular spectroscopy using fast, modern and parallelized code in languages such as Python. In this Double Hoo project, we will be constructing a program to automate the assignment and analysis of spectroscopic data, integrating techniques from both “Big Data” as well as quantum chemical methodology. We will also develop an open web framework for interacting with the large amounts of data generated by our experiments. This will require work in scientific computing, web development, and system administration.
Although the end result is chemistry applications-focused, much of the work will be computational/programmatic in nature and will not require significant knowledge of chemistry. Some scientific proficiency would help, but expertise in programming is absolutely not required (just a willingness to devote the time and learn).
Name: Tom Berenato
I'm a fourth-year PhD student in the English department interested in working with an undergraduate involved with Welsh literature or language. Part of my dissertation is on the Welsh poet and painter David Jones, a veteran of the First World War. I visited his extensive archive at the National Library of Wales, Aberystwyth, last summer and am planning to return this summer. The library is an essential stop for anyone working on any aspect of Welsh culture and history. My particular project examines Jones's negotiation of the relationship between image and text. An undergraduate who works on calligraphy or typography would be a good match. Additionally, my project has a theological bent to it, as Jones was a convert to Roman Catholicism, and his faith informed his artistic outlook and production through and through.
Name: Temple Lee
Department: Environmental Science
My research is focused on understanding the underlying physical processes affecting the variability of atmospheric trace gas mixing ratios, namely CO and CO2, in mountainous terrain. To do this work, I use a combination of meteorological and trace gas observations from a mountaintop monitoring site in Shenandoah National Park, as well as atmospheric mesoscale models. The meteorological, eddy covariance, and trace gas data sets that we have collected provide an excellent opportunity for a student to help investigate a selection of research questions related to mountain meteorology and boundary layer meteorology. The work will involve a combination of field work in Shenandoah National Park as well as data analysis. Interested students of all backgrounds are encouraged to contact me at firstname.lastname@example.org.
Name: Ryan Donahue
Department: Materials Science
The goal of this study is to improve fatigue life predictions of ultra-high strength stainless steel in corrosive media. Custom 465 is such a steel that is currently used in aircraft landing gear, tension rods, and other structural components. Characterization of fatigue life is critical to ensure the operational safety of aircraft components and to maximize component lifetime.
There are multiple regimes that occur in fatigue crack growth, each of which will be studied individually. Corrosive surroundings decrease the fatigue life of each regime, but the degree to which is poorly understood. Through fatigue testing under various loading conditions, corrosive media, and scanning electron microscopy (SEM), we can gain a better idea of the exact micro and macrostructural mechanisms involved in corrosion fatigue crack growth.
Undergraduate students will have the ability work on any and/or all parts of this project. Duties can include sample preparation, polishing, solution preparation, environmental cell construction/assembly, running the actual fatigue tests, post-test specimen processing, optical and scanning electron microscopy, surface profilometry, and finite element analysis. There are a few undergraduates in the group already, one of which now has his own project, and it would be great to bring another member into the group.