Projects 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 2017 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:
A dual-tuned, metamaterial-enhanced radiofrequency coil for MRI and phosphorus-31 spectroscopy
|Research categories:||Bioscience/Biomedical, Chemical, Computational/Mathematical, Electronics, Innovative Technology/Design, Life Science, Material Science and Engineering|
|School/Dept.:||Weldon School of Biomedical Engineering, School of Electrical & Computer Engineering|
|Preferred major(s):||Electrical Engineering, Biomedical Engineering|
|Desired experience:||CAD modeling, soldering, circuit characterization|
Magnetic resonance imaging (MRI) scanners can be used to acquire real-time localized metabolic information. This technique, known as magnetic resonance spectroscopy, can quantify the concentration of specific metabolites incorporating NMR-active nuclei. In this project, we will build a radiofrequency coil that will detect both typical proton (1H) and phosphorus-31 (31P) spectra using Purdue's 7T MRI scanner. The coil design will include metamaterial periodic structures to boost 31P sensitivity.
For this project, the SURF student will be part of the Magnetic Resonance Biomedical Engineering Lab (MRBEL) and work with Prof. Rispoli and a dedicated graduate student advisor. The SURF student's role will be to contribute to the final coil design (given electromagnetic modeling results from the graduate student advisor), to create a CAD model of the mechanical former, to prototype the former using our lab's 3D printer, to construct the required electrical circuitry on the former, and to validate the device on the 7T scanner. Familiarity with CAD software (Inventor/SolidWorks), soldering, analog circuits, metamaterials, and/or radiofrequency/microwave circuits is desired but not required.
A light-weight silicon pixel detector for the CMS detector at the Large Hadron Collider
|Research categories:||Electronics, Material Science and Engineering, Physical Science|
|School/Dept.:||Physics & Astronomy|
|Preferred major(s):||Physics (minor or experience in Electrical and/or Mechanical Engineering)|
|Desired experience:||Experience with labview is of advantage as well as a general understanding of at least one programming language. Existing experience with analysis of data and interpretation, e.g. linear regression / trend analysis.|
The Large Hadron Collider will be upgraded to provided a unprecedented number of hadronic interactions, which will be used to search for any deviation from the standard model theory of particle physics. In order to withstand the large number of hadronic interaction also the CMS detector needs to be upgraded. The proposed summer research project contributes to the upgrade of the forward pixel detector in the very heart of the CMS detector.
Candidates join my lab/group working on data taking and testing of silicon detector prototypes and their support prototypes in our local two-phase CO2 cold box setup. The project includes data taking, preparation & hands-on assembly of prototypes, as well as data analysis. There is also possibilities to carry out the thermal finite element analysis needed to simulate the thermal behavior of our prototypes. Experience with labview is of advantage as well as a general understanding of at least one programming language. Most important is being enthusiastic for the research project.
Human Body Communication
|Research categories:||Bioscience/Biomedical, Computer Engineering and Computer Science, Electronics|
|Preferred major(s):||ECE, CE, BME, CS|
|Desired experience:||Microprocessor Coding, or Device Design, or Circuit/System Design|
We are developing state-of-the-art devices and algorithms to use the human body as a communication network for wearables and implantables, impacting healthcare and neuroscience in future.
We are looking for young, bright students to take these systems to the next level.
More details here:
Network for Computational Nanotechnology (NCN) / nanoHUB
|Research categories:||Chemical, Computational/Mathematical, Computer Engineering and Computer Science, Electronics, Material Science and Engineering, Mechanical Systems, Nanotechnology, Other|
|Preferred major(s):||Electrical, Computer, Materials, Chemical or Mechanical Engineering; Chemistry; Physics; Computer Science; Math|
|Desired experience:||Serious interest in and enjoyment of programming; programming skills in any language. Physics coursework.|
NCN is looking for a diverse group of enthusiastic and qualified students with a strong background in engineering, chemistry or physics who can also code in at least one language (such as Python, C or MATLAB) to work on research projects that involve computational simulations. Selected students will typically work with a graduate student mentor and faculty advisor to create or improve a simulation tool that will be deployed on nanoHUB. Faculty advisors come from a wide range of departments: ECE, ME, Civil E, ChemE, MSE, Nuclear E, Chemistry and Math, and projects may be multidisciplinary. To learn about this year’s research projects along with their preferred majors and requirements, please go to the website noted below.
If you are interested in working on a nanoHUB project in SURF, you will need to follow the instructions below. Be sure you talk about specific NCN projects directly on your SURF application, using the text box for projects that most interest you.
1) Carefully read the NCN project descriptions (website available below) and select which project(s) you are most interested in and qualified for. It pays to do a little homework to prepare your application.
2) Select the Network for Computational Nanotechnology (NCN) / nanoHUB as one of your top choices.
3) In the text box for Essay #2, where you describe your specific research interests, qualifications, and relevant experience, you may discuss up to three NCN projects that most interest you. Please rank your NCN project choices in order of interest. For each project, specify the last name of the faculty advisor, the project, why you are interested in the project, and how you meet the required skill and coursework requirements.
For more information and examples of previous research projects and student work, click on the link below.
Purdue AirSense: An Air Pollution Sensing Network for West Lafayette
|Research categories:||Agricultural, Chemical, Civil and Construction, Computer Engineering and Computer Science, Electronics, Environmental Science, Innovative Technology/Design, Mechanical Systems, Nanotechnology, Physical Science|
|Preferred major(s):||The position is open to students from all STEM disciplines.|
|Desired experience:||Proficient in Python, Java, MATLAB; experience with Raspberry Pi or Arduino.|
Air pollution is the largest environmental health risk in the world and responsible for 7 million deaths each year. We are presently developing a new air pollution sensing network for the Purdue campus to monitor and analyze air pollutants in real-time. We are recruiting an undergraduate student to assist with the development of our Raspberry Pi-based air quality sensor module. You will be responsible for integrating the Raspberry Pi with air quality sensors, developing laboratory calibration protocols, building an environmental enclosure for the sensors, creating modules on our website for real-time data analysis and visualization, and maintaining state-of-the-art aerosol instrumentation at our central air quality monitoring site at the Purdue Agronomy Center for Research and Education (ACRE).
Remote sensing of soil moisture using P-band Signals of Opportunity: Model development and experimental validation.
|Research categories:||Agricultural, Aerospace Engineering, Computer Engineering and Computer Science, Electronics, Environmental Science, Physical Science|
|Preferred major(s):||ECE, Physics, Geophysics, With appropriate coursework: AAE, ABE, Civil, Geomatics,|
|Desired experience:||Signal processing; Programming: C, Python, MATLAB; Electronic hardware experience preferred; Drivers license and access to car required.|
Root Zone Soil Moisture (RZSM), defined as the water profile in the top meter of soil where most plant absorption occurs, is an important environmental variable for understanding the global water cycle, forecasting droughts and floods, and agricultural management. No existing satellite remote sensing instrument can measure RZSM. Sensing below the top few centimeters of soil requires the use of microwave frequencies below 500 MHz, a frequency range known as “P-band”. A P-band microwave radiometer would require an aperture diameter larger than 10 meters. Launching such a satellite into orbit will present big and expensive technical challenge, certainly not feasible for a low-cost small satellite mission. This range for frequencies is also heavily utilized for UHF/VHF communications, presenting an enormous amount of radio frequency interference (RFI). Competition for access to this spectrum also makes it difficult to obtain the required license to use active radar for scientific use.
Signals of opportunity (SoOp) are being studied as alternatives to active radars or passive radiometry. SoOp re-utilizes existing powerful communication satellite transmissions as “free” sources of illumination, measuring the change in the signal after reflecting from soil surface. In this manner, SoOp methods actually make use of the very same transmissions that would cause interference in traditional microwave remote sensing. Communication signal processing methods are used in SoOp, enabling high quality measurements to be obtained with smaller, lower gain, antennas.
Under NASA funding, Purdue and the Goddard Space Flight Center have developed an airborne prototype P-band remote sensing instrument to demonstrate the feasibility of a future satellite version. Complementing this technology development, a field campaign in the Purdue Agricultural research fields is being planned. This campaign will make reflected signal measurements from towers installed over instrumented fields. Measurements will be obtained over bare soil first, and then throughout the corn or soybean growth cycle. Complementing these remote sensing measurements, a comprehensive set of ground-truth data will also be collected for use in developing models and verifying their performance.
Work under this project will involve installing microwave electronic equipment in the field, writing software for signal and data processing, and making field measurements of soil moisture and vegetation properties.
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. Preference will be given to students who have an interest in applying their skills to solving problems in the Earth sciences, environment, or agriculture.
NOTE: The project will involve regular travel to and from the local research field, so students should have a drivers license and reliable access to a car.