Projects for 2017 are posted below; new projects will continue to be posted through February. To learn more about the type of research conducted by undergraduates, view the 2016 Research Symposium Abstracts.
This is a list of research projects that may have opportunities for undergraduate students. Please note that it is not a complete list of every SURF project. Undergraduates will discover other projects when talking directly to Purdue faculty.
You can browse all the projects on the list, or view only projects in the following categories:
Purdue AirSense: Creating a State-of-the-Art Air Pollution Monitoring Network for Purdue
|Research categories:||Agricultural, Aerospace Engineering, Bioscience/Biomedical, Chemical, Civil and Construction, Computational/Mathematical, Computer Engineering and Computer Science, Educational Research/Social Science, Electronics, Environmental Science, Industrial Engineering, Innovative Technology/Design, Life Science, Material Science and Engineering, Mechanical Systems, Nanotechnology, Physical Science|
|Preferred major(s):||Any engineering, science or human health major.|
|Desired experience:||Motivation to learn about, and solve, environmental, climate, and human health issues facing our planet. Past experience: working in the lab, analytical chemistry, programming (Matlab, Python, Java, LabVIEW, HTML), electronics/circuits, sensors.|
|Number of positions:||1-2|
Air pollution is the largest environmental health risk in the world and responsible for 7 million deaths each year. Poor air quality is a serious issue in rapidly growing megacities and inside the homes of nearly 3 billion people that rely on solid fuels for cooking and heating. Join our team and help create a new, multidisciplinary air quality monitoring network for Purdue - Purdue AirSense. You will have the opportunity to work with state-of-the-art air quality instrumentation and emerging sensor technologies to monitor O3, CO, NOx, and tiny airborne particulate matter across the campus. We are creating a central site to track these pollutants in real-time on the roof-top of Hampton Hall, as well as a website to stream the data to the entire Purdue community for free. 4-5 students will be recruited to work as a team on this project, which is led by Profs. Brandon Boor (CE) & Greg Michalski (EAPS).
The Urban-Ag Divide: The role of social learning in water resource protection behaviors
|Research categories:||Agricultural, Environmental Science, Other|
|School/Dept.:||Forestry and Natural Resources|
|Desired experience:||Personable, high attention to detail, willingness to work with diverse stakeholders, interest in water quality issues and environmental education, desire to work with the public and conduct research.|
|Number of positions:||1|
In this project, we seek to test out a new watershed/water pollution mitigation education strategy. One of the things we repeatedly hear when we talk to farmers is that they’re not the only ones to blame for water quality issues so they shouldn’t be the only ones expected to change their behaviors. We’re wondering if this is limiting willingness to voluntarily adopt practices.
In response to this, we are experimenting with something we’re calling “reciprocal tours” where we take farmers out to see things that cities and urban dwellers are doing and we take urban dwellers out to see what farmers are doing to help mitigate water pollution. This summer, we will be conducting a pilot study of this approach in Tippecanoe County where both farmers and cities have adopted water quality mitigation practices.
We are seeking a student to coordinate demonstration tours in Lafayette, IN and the surrounding agricultural area. Coordination includes finding urban and farmer tour participants, coordinating transportation to and from tours, organizing focus group location and food, and working with cities, farmers, and staff from the Wabash River Enhancement Corporation to identify appropriate sites and develop speaking points and education material about various conservation practice. In addition, this student will help develop, administer, and analyze evaluation materials.
Wideband GNSS Reflectometry Instrument Design and Signal Processing for Airborne Remote Sensing of Ocean Winds.
|Research categories:||Aerospace Engineering, Computer Engineering and Computer Science, Electronics, Environmental Science, Physical Science, Other|
|Preferred major(s):||Electrical Engineering, Physics|
|Desired experience:||Linear Systems, Signal processing, computer programming (C, Python, MATLAB). Some experience building computers or electronics is desirable. A basic understanding of electromagnetism is also desirable.|
|Number of positions:||1|
This research project will involve the assembly and test a remote sensing instrument to make measurements of the ocean wind field from the NOAA “Hurricane Hunter” aircraft. The fundamental operating principle of this new instrument is “reflectometry”, which is based upon observing changes in the structure of a radio frequency signal reflected from the ocean surface. These changes are related to the air-sea interaction process on the ocean surface and can be used to estimate the wind speed through empirical models. Transmissions from the Global Navigation Satellite System (GNSS), (e.g. GPS, Galileo, Glonass or Compass) are ideal signal sources for reflectometry, due to their use of a “pseudorandom noise” (RRN) code.
NASA will be launching the CYGNSS satellite constellation in November to globally monitor the tropical ocean and observe the formation of severe storms. CYGNSS will use a first generation GNSS-R instrument. This summer research project will produce a next-generation prototype taking advantage of the wider bandwidth of the Galileo E5 signal (~90 MHz vs. 2 MHz) for higher resolution measurements of the reflected signal.
In addition to hardware assembly and testing in the laboratory, this research project will also require the development of signal processing algorithms to extract essential information from the scattered signal. A “software defined radio” approach will be used, in which the full spectrum of the reflected signal is recorded and post-processed using software to implement the complete signal processing chain.
The goal of this summer research project is to deliver a working instrument, post processing software, and documentation to NOAA for flight on the hurricane aircraft during the 2017 hurricane season. There are two objectives of this experiment. The first is to demonstrate the feasibility of wideband E5 reflectometry measurements. The second objective is to collect the highest quality GNSS reflectometry data, under a wide variety of extreme meteorological conditions, to improve the empirical models that will be used for processing CYGNSS data and generating hurricane forecasts.
Students interested in this project should have good programming skills and some experience with C, Python and MATLAB. They should also have a strong background in basic signal processing. Experience with building computers or other electronic equipment will also be an advantage.