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 2018 Research Symposium Abstracts.
2019 projects will continue to be posted through January!
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:
Building Software for Environmental Modeling
|Research categories:||Agricultural, Computer Engineering and Computer Science, Environmental Science, Other|
|School/Dept.:||Agricultural and Biological Engineering|
|Preferred major(s):||Agricultural Engineering , Civil Engineering, Computer Science or related disciplines|
|Desired experience:||Programming skills in any language with some experience in frontend and backend web development is desired.|
Agricultural and Biological Engineering Department has contributed several tools for environmental modeling community. It is a challenge to review and understand old codes with minimum documentation. This project involves modernizing an environmental modeling software written primarily in Perl. In this project, the SURF student will first assess the current application, create a plan for the new iteration in collaboration with the project supervisor, get a head start on developing the new application and document the process. The SURF student will work with a staff programmer.
Data Visualization and Analysis for IoT Based Smart Irrigation System
|Research categories:||Agricultural, Civil and Construction, Computer Engineering and Computer Science, Environmental Science, Other|
|School/Dept.:||Agricultural and Biological Engineering|
|Preferred major(s):||Agricultural Engineering, Civil Engineering, Environmental Engineering, Computer Science or related disciplines|
|Desired experience:||Programming skills in any language with some experience in statistics is desired.|
It is reported that currently almost 33 percent of the global population is affected by water scarcity and by 2030, this figure is expected to climb up to almost 50 percent. Around 60 percent of the water used for irrigation is wasted, either due to evapotranspiration, land runoff, or simply inefficient, primitive irrigation application methods. This realization has brought attention to smart irrigation – powered by the internet of things (IoTs) – that can be a better way of managing water stress on a global basis. In this project, the SURF student will customize commercially available software to analyze and visualize data, perform calculations/combine new data, run time-based calculations, plot functions for visual understanding and perform sophisticated analysis by combining data from several field nodes. The SURF student will work with Project Supervisor and a staff programmer.
Indoor Air Pollution Research: From Nano to Bio
|Research categories:||Agricultural, Bioscience/Biomedical, Chemical, Civil and Construction, Environmental Science, Life Science, Mechanical Systems, Nanotechnology, Physical Science|
|Preferred major(s):||Students from all majors are welcome to apply.|
|Desired experience:||Interest in studying contaminant transport in the environment, human health, air pollution, HVAC and building systems, microbiology, nanotechnology, and atmospheric science. Experience working in a laboratory setting with analytical equipment and coding with MATLAB, Python, and/or R. Passionate about applying engineering fundamentals to solve real-world problems.|
Airborne particulate matter, or aerosols, represent a fascinating mixture of tiny, suspended liquid and solid particles that can span in size from a single nanometer to tens of micrometers. Human exposure to aerosols of indoor and outdoor origin is responsible for adverse health effects, including mortality and morbidity due to cardiovascular and respiratory diseases. The majority of our respiratory encounters with aerosols occurs indoors, where we spend 90% of our time. Through the SURF program, you will work on several ongoing research projects exploring the dynamics of nanoaerosols and bioaerosols in buildings and their HVAC systems.
Nanoaerosols are particles smaller than 100 nm in size. With each breath of indoor air, we inhale several million nanoaerosols. These nano-sized particles penetrate deep into our respiratory systems and can translocate to the brain via the olfactory bulb. These tiny particles are especially toxic to the human body and have been associated with various deleterious toxicological outcomes, such as oxidative stress and chronic inflammation in lung cells. Bioaerosols represent a diverse mixture of microbes (bacteria, fungi) and allergens (pollen, mite feces). Exposure to bioaerosols plays a significant role in both the development of, and protection against, asthma, hay fever, and allergies.
Your role will be to conduct measurements of nanoaerosols and bioaerosols in laboratory experiments at the Purdue Herrick Laboratories, as well as participate in a field campaign at Indiana University - Bloomington in collaboration with an atmospheric chemistry research group. You will learn how to use state-of-the-art air quality instrumentation and perform data processing and analysis in MATLAB.
Low-cost user-friendly biosensors for animal health
|Research categories:||Agricultural, Bioscience/Biomedical, Electronics, Innovative Technology/Design, Life Science, Material Science and Engineering, Mechanical Systems|
|School/Dept.:||Agricultural and Biological Engineering|
|Preferred major(s):||Biomedical engineering, biological engineering, electrical engineering, mechanical engineering, or other relevant fields|
|Desired experience:||To be successful at this position, you should have a GPA>3.5, prior experience working in a wet lab (ideally experience with bacterial culture and DNA amplification), experience building electromechanical devices, and the ability to work in a team.|
Infectious diseases are a leading cause of economic burden on food production from animals. For example, bovine respiratory diseases lead to a loss of ~$480/animal. Current methods for tackling these diseases includes the administration of antibiotics by trial-and-error. This approach leads to failure of treatment in up to one-third of the cases. In addition, it also leads to a proliferation of antibiotic resistance in pathogens.
Our research project focuses on developing a low-cost user-friendly biosensor based on paper that can detect which pathogen is causing the disease and whether it exhibits antibiotic resistance. Such a biosensor would provide a readout to the farmer or the veterinary physician and suggest which antibiotics are likely to be successful.
The SURF student will have three objectives: i) design primers for detecting pathogens associated with bovine respiratory diseases, ii) build a device for processing the sample and extracting DNA that can be amplified by the biosensor, and iii) build a device for detecting colorimetric/fluorometric output from the biosensor.
Monitoring Bacterial Contamination in Biologics
|Research categories:||Agricultural, Bioscience/Biomedical, Chemical, Mechanical Systems|
|Preferred major(s):||Biomedical engineering, chemical engineering, biological engineering|
Biologics comprised 22% of major pharma companies in 2013 and is expended to grow to 32% of sales in 2023. Biologics are large complex molecules that are created by microorganisms and mammalian cells. They are polypeptides or proteins such as monoclonal antibodies, cytokines, fusion proteins used in vaccines, cell therapies, gene therapies, etc. Impurities such as aggregates, cell debris, bacterial and viral contamination can negatively impact the manufacturing process. In this project, we will focus on developing methods for monitoring bacterial contamination.
Remote sensing of soil moisture and forest biomass using P-band Signals of Opportunity: Model development and experimental validation
|Research categories:||Agricultural, Aerospace Engineering, Electronics, Environmental Science, Physical Science|
|Preferred major(s):||ECE, AAE, Physics, ABE|
|Desired experience:||Basic signal processing (AAE 301 or ECE 301 or equivalent) desired. Students should know how to use basic hand tools, and be willing to work outdoors in agricultural or forest environments. A drivers license and reliable access to a car is required for field work.|
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, often through dense vegetation, 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 will be conducted for its third year the Purdue Agricultural research fields. 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.
In Spring 2019 an additional experiment, using a small Unpiloted Aerial Vehicle (UAV), will be conducted in a forested area in collaboration with the School of Forestry and Natural Resources (FRN).
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. Students should be willing to work outdoors and have an interest in applying their skills to solving problems in the Earth sciences, environment, or agriculture.
The project will involve regular travel to and from the local research field, so students should have a driving license and access to a car.