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Project Opportunities

The following are a list of the projects currently available for students. The list is constantly updating as we grow the program and community partner needs shift.

 

Do you have a project in mind? Have an organization you want to work with to make a project happen?

Let us know! We can help you make this happen. (Additional examples of what is possible can be see at the well-established Purdue EPICS Teams page.)

 

  • ABQ BioPark. Enrichment devices (veterinary needs, play, behavior specific, goal based, husbandry, many aspects!), portable hot/cold rock for temperature sensitive animals, Pond/Lawn drainage and habitat maintenance, touch screen app development for enrichment with great apes/elephants, painting boxes. Environmental enrichment including in atypical settings like cold temperatures (penguins) and salt water (aquarium & penguins), lots of options beyond these and open to creativity!
  • Affordable Solar. Monitoring and alerting operational PV systems is a potentially high value (for ASI) project. This potentially includes the opportunity to scope a PV monitoring project, target a do-able subset of that need, then execute (program in the Wonderware -or Ignition- environment to automate the intended monitoring functions (setting up more “intelligent” monitoring alerts that can detect problems without requiring a human to see them) would fit the EPICS program criteria. Another option could be to test-migrate part of the monitored portfolio over to Ignition from Wonderware and build in additional functionality. There is the potential to expand this towards a more AI approach to monitoring PV systems (having the machine “learn” how to detect problems). Our portfolio of monitored projects is a data bonanza. Students could also design around a historical data set until it’s determined that they are capable of building worthwhile features.
  • Air Force Research LaboratoryAFRL is committed as a Community Partner. Specific projects TBD.
  • Crossroads for Women. Design a new data base to track volunteer engagement
  • Management Sciences, Inc. in collaboration with Sandia National Labs. The state of the art in sensors, processing platforms, and algorithms continue to evolve at a rapid pace. New, low-cost sensors are emerging, embedded systems are becoming smaller and more capable, and open source software for analytics continues to grow. In this project, students working with Management Sciences in collaboration with Sandia National Labs will have the opportunity to explore one or more of these technologies to support new opportunities to fuse low-cost sensors at the edge of the network.
  • Sandia National Labs (Dr. Kathryn Hoffmeister & Dr. Caroline Winters). The project would be a signal processing project where the students setup simple lab experiments (with LEDs, an oscilloscope, a photodiode, a signal generator, etc) and try to remove the signal from background/noise using advanced signal processing concepts.
  • STEM Boomerang. 1. Data scrape social media sites to obtain contact information for New Mexico graduates that fit the criteria: graduated in New Mexico, degree in STEM-related fields; 2. Design and built SQL database of STEM professionals. Help set up queries. 3. Develop an API that posts job openings onto local and state job boards. 
  • UNM Department of Orthopaedics & Rehabilitation. In the Dept. of Orthopaedics we frequently conduct research on the human knee – assessing things like knee kinematics and comparing knee stability between pre-operative vs. post-operative surgical treatments. Traditionally, we have done so using infrared cameras and motion capture software. We will place markers or marker triads on the bone surfaces and use high resolution IR cameras to track their positions while applying various loads to the knee. We often do so on human cadaver knees that are uninjured, then repeat after inducing some simulated injury like a torn ACL, then repeat again after repairing the ACL to determine whether we are able to regain the same level of knee stability as we had when the specimen was uninjured. Motion capture systems like ours (Optitrack) allow us to capture data then analyze position information post-experimentation using various computer codes (typically Matlab). What we are asking for this senior design project is to develop a marker-less registration system (hardware) that uses a probe for identifying specified points on the bones. Once these points are identified, their locations will help map out the knee geometry to develop a knee coordinate system that can be used for marker-less knee tracking (software). Ideally, the software would work in conjunction with the Motive:Body software we already use for marker tracking and would be scripted using Matlab (but we are open to other user-friendly options). The global coordinate system could be defined using the ground plane system supplied by Optitrack. The hardware probe would use the Optitrack IR cameras for position registration. The system would be validated using the same IR camera system, but with physical markers on the bone surface.

 

Coming Spring 2021

  • BioPark Society. Our IUCN Conservation team is dedicated to producing the highest quality assessments of species extinction risks in a broad array of geographic contexts. As the needs for assessments far outstrip our capacity, we are seeking new and innovative ways to increase the pace at which assessments can be generated. One method we are exploring is through automation of data gathering and interpretation. For many species, the necessary data exists in a wide array of databases which can be scraped using automated means and interpreted using methods of varying complexity. At the moment, we are using very basic systems to do this, but these could be greatly improved through software development and improved informatics systems which expand our base of collected data. We would also like to explore new methods for interpreting these data.
  • Sandia National Labs(Dr. Scott Levy). We work extensively with an open-source simulator of bulk synchronous parallel applications. Our research depends on our ability to add new functionality and improve the existing functionality of this simulator. Our idea is to work with a team to identify, design, and implement one new feature for this simulator.