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:
Computer Engineering and Computer Science
Lets replace this outdated E-Textbooks with something that works and is inexpensive!
|Research categories:||Computer Engineering and Computer Science, Educational Research/Social Science|
|Preferred major(s):||Computer science; Computer Engineering|
|Desired experience:||HTML, JAVA, PHP programming languages|
|Number of positions:||1-2|
I am seeking Computer Science and Engineering students who are interested in creating a new digital learning tool that will replace E-textbooks. We will build a cloud-based platform that will allow teachers, professors, or other individuals to produce multimedia pages with embedded text, sound, video, quizzing, web-links, and external apps. This product is then published online and availed for purchase by students as a more effective and low cost alternative to traditional textbooks or e-textbooks. Student would need to be competent in one or more of these languages: java, html, php, Mysql.
Network for Computational Nanotechnology (NCN) / nanoHUB
|Research categories:||Computational/Mathematical, Computer Engineering and Computer Science, Electronics, Material Science and Engineering, Nanotechnology, Other|
|Preferred major(s):||Electrical, Computer, Materials, or Mechanical Engineering; Chemistry; Physics; Computer Science|
|Desired experience:||Serious interest in and enjoyment of programming; programming skills in any language. Physics coursework.|
|Number of positions:||16-20|
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 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. To learn about this year’s research projects along with their preferred majors and requirements, please go to website noted below.
If you are interested in working on a nanoHUB project in SURF, you will need to follow the instructions below and be sure you talk about specific NCN projects directly on your SURF application, in 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 that asks about your “understanding of your role in a project that you have identified”, you may discuss up to three NCN projects that most interest you. For each NCN project, be sure to tell us why you are interested in the project and how you meet the required skill and coursework requirements.
Faculty advisors for summer 2017 include: Arezoo Ardekani, Peter Bermel, Ilias Bilionis, Marcial Gonzalez, Marisol Koslowski, Peilin Liao, Guang Lin, Lyudmila Slipchenko, Alejandro Strachan, Janelle Wharry, and Pablo Zavattieri. These faculty represent a wide range of departments: ECE, ME, Civil E, MSE, Nuclear E, Chemistry and Math, and projects may be multidisciplinary.
Examples of previous student work can be found here:https://nanohub.org/groups/ncnsurf.
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).
VACCINE-Visual Analytics for Command, Control, and Interoperability Environments
|Research categories:||Computational/Mathematical, Computer Engineering and Computer Science, Innovative Technology/Design|
|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:|
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.
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.
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.