Research Projects

Projects for 2017 will be posted soon. 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:

Computational/Mathematical

 

Fluid Dynamics of Bacterial Aggregation and Formation of Biofilm Streamers

Research categories:  Bioscience/Biomedical, Chemical, Computational/Mathematical, Physical Science
School/Dept.: Mechanical Engineering
Professor: Arezoo Ardekani
Number of positions: 1

Bacteria primarily live within microscopic colonies embedded inside a self-secreted matrix of polymers and proteins. These microbial biofilms form on natural and man-made surfaces and interfaces and play important roles in various health and environmental issues. Previous experimental studies have indicated the significance of bacterial motility mechanisms in the colonization process and the subsequent biofilm formation. In particular, flagellar mediated swimming is crucial in approaching the surface and initiating the adhesion process. Understanding the swimming strategy of bacteria in confined geometries is shown to be a decisive factor in identifying the adhesion rate and elucidating the subsequent colonization process. However, majority of studies focused on the swimming behavior of motile cells in complex fluids have been conducted assuming the cells’ habitat to be an unbounded domain and thus, the boundary induced effects, such as surface trapping and wall accumulation, are poorly understood. The student will investigate the motion of microorganisms in complex fluids near boundaries.

 

Heterogeneous Deformation and Strain Localization as a Precursor to Failure in Aerospace Materials

Research categories:  Aerospace Engineering, Computational/Mathematical, Material Science and Engineering
School/Dept.: AAE
Professor: Michael Sangid
Preferred major(s): AAE, MSE, ME, CS
Number of positions: 1

The research we do is building relationships between the material's microstructure and the subsequent performance of the material, in terms of fatigue, fracture, creep, delamination, corrosion, plasticity, etc. The majority of our group’s work has been on advanced alloys and composites. Both material systems have direct applications in Aerospace Engineering, as we work closely with these industries.

We are looking for a motivated, hard-working student interested in research within the field of experimental mechanics of materials. The in situ experiments include advanced materials testing, using state-of-the-art 3d strain mapping. We deposit self-assembled sub-micron particles on the material’s surface and track their displacement as we deform the specimen. Coupled with characterization of the materials microstructure, we can obtain strain localization as a precursor to failure. Specific projects look at increasing the structural integrity of additive manufactured materials and increasing fidelity of lifing analysis to introduce new light weight materials into applications.

 

VACCINE-Visual Analytics for Command, Control, and Interoperability Environments

Research categories:  Computational/Mathematical, Computer Engineering and Computer Science, Innovative Technology/Design
School/Dept.: ECE
Professor: David Ebert
Preferred major(s): Computer Engineering, Computer Science, other Engineering majors with programming experience
Desired experience:   Programming experience in C++, others as described below
Number of positions: 5

We are currently searching for students with strong programming and math backgrounds to work on a variety of projects at the Visual Analytics branch (VACCINE) of the Department of Homeland Security Center of Excellence in Command, Control and Interoperability. Students will each be assigned individual projects focusing on developing novel data analysis and exploration techniques using interactive techniques. Students should be well versed in C++ upon entering the SURF program, and will be expected to learn skills in R, OpenGL, and/or a variety of other libraries over the course of the summer.

Ongoing project plans will include research that combines soil, weather and crop data from sensing technology to provide critical crop answers for California wine growers and producers, programming for criminal incident report analysis, incorporating local statistics into volume rendering on the GPGPU, healthcare data analysis, and analyzing customizable topics and anomalies that occur in real-time via social media networks Twitter and Facebook. If you have CUDA programming experience or an intense interest to learn it, please indicate this on your application form. We also plan to have a project that will assist first responders in accident extrication procedures.

The ideal candidate will have good working knowledge of modern web development technologies, including client-side technologies such as HTML5, SVG, JavaScript, AJAX, and DOM, as well as server side components such as PHP, Tomcat, MySQL, etc. Experience in visualization or computer graphics is a plus. The project will likely be based on the D3 (http://d3js.org/) web-based visualization toolkit; prior experience using D3 or other visualization APIs for the web is particularly welcome.

Of the past undergraduate students that have worked in the center, five of their research projects have led to joint publications in our laboratory and at many of our areas' top venues. Sample projects include visual analytics for law enforcement data, health care data and sports data. Students will be assigned individual projects based on the center's needs which will be determined at a later date. To learn more about the VACCINE Center go to the website provided below.

More information: http://visualanalytics-cci.org

 

nanoHUB Research in Nanoscale Science and Engineering

Research categories:  Computational/Mathematical, Computer Engineering and Computer Science, Electronics, Material Science and Engineering, Nanotechnology, Other
Professor: NCN Faculty
Preferred major(s): Electrical, Computer, Materials, or Mechanical Engineering; Physics; Computer Science
Desired experience:   Serious interest in and enjoyment of programming; programming skills in any language. Physics coursework.
Number of positions:

Advances in nanoscale science and engineering promise to provide solutions to some of the Engineering Grand Challenges of the 21st century. The Network for Computational Nanotechnology (NCN) has several undergraduate research positions available in exciting interdisciplinary research projects that use computational simulations to solve engineering problems in areas such as nanoelectronics, predictive materials simulations, materials characterization, nanophotonics, and the mechanical behavior of materials. The projects cover a wide range of applications, including development of systems with increased efficiencies for energy storage or energy conversion, development of next-generation electronic devices, improved manufacturing processes for pharmaceuticals and other materials, and the prediction and design of new materials with specific properties. Descriptions of the available research projects, requirements, and faculty advisors are posted on the website provided under 'More Information' below.

We are looking for students with a strong background in engineering or physics who can also code in at least one language, such as C or MATLAB. Selected students will work with a graduate student mentor and faculty advisor to create or improve a simulation tool that will be deployed on https://nanoHUB.org.

nanoHUB is arguably the world’s largest nanoscale science and engineering user facility, with over 300,000 annual users. nanoHUB’s simulation tools run in a scientific computing cloud via a web browser, and are used by researchers and educators world wide. As part of our team, you will be engaged in a National Science Foundation-funded effort that is connecting theory, experiment and computation in a way that makes a difference for the future of nanotechnology and the future of scientific communities. At the end of the summer, successful students will publish a simulation tool on nanoHUB, where it can impact thousands of nanoHUB users.

In addition to the regular SURF workshops and seminars, NCN provides some additional activities and training for our cohort of summer students. More information, including examples of previous student projects, is available on the NCN SURF page: https://nanohub.org/groups/ncnsurf.

In your SURF application, be sure to list the specific NCN project that you are interested in, along with your qualifications for that project. Students are matched to NCN projects based on their interests, qualifications, and available openings on projects.