Build a wearable exoskeleton to prevent muscle injuries in strenuous physical work settings around the world. Develop a marketing strategy to share your technical plan with the global community.
TeamsThe default setting for this page is to show teams for Fall 2022. Use the filters below to help identify Summer 2022 teams and/or teams working on projects in a particular area of interest. Visit "Register for a Team" webpage for updated VIP subject code details.
Area of Interest
The objective of this research team is to develop the next generation 3D sensors.
The objective of this team is the development specialized device characterization modules (solar cells, MOS devices, diodes, etc.) using MatLab.
The team will build query processing engines that run on low-cost cameras.
Conduct accessibility and usability research and analyze research data to make web-based tools, specifically CATME, more accessible.
This team will work on developing a scientific calculator from scratch that will enhance the efficiency of how engineering students interact with calculators.
Hands-on Unmanned Aerial Systems research at Purdue’s world class indoor motion capture environment, Hangar 4. Direct collaboration and support from AFRL (Air Force Research Labs) Aerospace Systems Directorate.
This team uses advanced methods to analyze and design modern electric power components and systems , such as electric vehicles and smart grids.
This project uses computer vision to analyze visual data (image or video) captured in public locations in order to estimate the density of crowds and responses to governments' policies of social distancing.
Students will also perform various forms of content analysis and then write a systematic literature review using newly determined categorizations and reviewing articles related to ergonomics.
The team will conduct research to develop monitoring algorithms for tracking construction resources.
Purdue students will work with autonomous mowing stakeholders (Wright Manufacturing Inc., Greenzie and McGavic Outdoor Power) to develop autonomous mowing testing protocols, performance measures, and training material.
Autonomous racing project including both software and hardware aspects, with emphasis on path planning, sensor fusion, and machine learning techniques.
The team will work to design an automated VSIC circuit integrated autonomous system to predict damage tolerance of an energy system in space operations.
In this VIP team, the students will lead the efforts of prototyping and evaluating various technologies that could be used in the next generation wireless communication systems.
Bio-inspired digital twins (BioTwins) - The team will continue previous work on bio-inspired designs of the morpho butterfly and snake skin to update functional designs, manufacture, and test bio-inspired structures.
The project involves the study of locomotion principles of flying animals and the design of bio-inspired robots with similar flight performance to their natural counterparts.
This team provides opportunities for student entrepreneurs to work with experienced entrepreneurs and build the students’ startup companies.
To enable a set of 5 components (user gears) in a pouch or a keychain for distancing during daily operation, transit and travel. Safe, small footprint for portability, able to attach to travel bag or airplane seat arm rest, light weight, reusable and low cost.
The focus of this project is developing an automated speech-to-text program that works with young children (ages 3-5). The team will develop the algorithms for transcription and a functional interface that is user-friendly.
This team will investigate methods to improve efficiency (inference time, training time, storage space, energy consumption) of computer vision (both image and multimedia) so that computer vision can run on embedded systems.
This team will create a system that can perform CVFIA automatically.
CAM2 provides an event-based API and is open to researchers to analyze the data for their studies.
This project aims to conduct interdisciplinary research to develop data analytics tools using robotics and autonomous sensing.
This team investigates how to utilize deep reinforcement learning for optimal control of complex systems.
This project aims to develop a novel deep reinforcement-learning-based framework for autonomous freight transportation management.
Digital Phenomics: Machine-Vision-based Novel Feature Extraction of Characterization of Wheat/Rice Panicles
The project involves the development of an imaging system which will be able to provide 2D images of wheat/rice plants with panicles.
In order to mitigate the risk of health care personnel and other patients visiting hospitals from the 2019-nCoV, or bacteria, our team proposes to deploy autonomous cleaning robots to disinfecting Hospitals, Schools and Dorms. New technologies will be developed and test as part of the Robot.
This project aims to develop the solutions that can recognize objects captured by cameras mounted on drones.
We develop mobile and web-based digital health applications to improve health care operations so that community residents can maintain/improve their health outcomes and community-based care providers can plan their workforce in a more cost-benefit manner.
This team will build a PWM audio amplifier and test it for conformance to specs, learn relevant regulations for instrumentation and emissions testing.
This team will focus initially on making our planet's history easily accessible to both public and scientific audiences.
Design instrumentation and conduct field experiments to collect VVHF/P-band and S-band satellite signals.
This course aims to create a collaborative learning environment in which students will learn, discuss, and practice various aspects of electric and autonomous vehicles. Through popular open-source projects and other activities in support of evGrand Prix, students will apply their knowledge and gain real-world experience specific to the industry.
Engineering Education: Contribute to NSF-funded Engineering Education research projects. Explore relevant literature and learn data analysis techniques (primarily qualitative, but also quantitative).
FEMTA team will design and develop the hardware and software for a microgravity experiment to be flown in space on a reusable suborbital vehicle.
FLaC-Sat is a nanosatellite mission funded by the AFRL for research in Laser Communications and FEMTA Micropropulsion
This organization has the goal of designing, testing, and manufacturing a competitive racecar.
Students will perform various forms of data mining and bibliometric analysis.
The students will develop mobile phone applications that capture images of the scene and extract information from them using tools such as machine learning.
Team IBAC is targeting to develop a batch of image processing algorithm and toolbox for biological analysis.
This team uses imaging based processing and analysis for a variety of research projects.
Students on this team will develop solutions to problems that are related to Prof. Allebach’s on-going research collaborations with industrial sponsors.
The team uses a combination of computer modeling, laboratory and field measurements, and data analysis to quantify waves, currents, shoreline erosion, and sand transport along Lake Michigan’s coasts.
This team is to perform research work in the laser-based manufacturing and materials processing area.
The team will design, build, test and prepare an autonomous robot for a lunar mining competition sponsored by NASA.
Design, Development, and Testing of Wireless Sensor for Vial Stress Measurement During Lyophilization
In collaboration with the Minority Engineering Program (MEP), the GoKart team will design, build, and test go-karts for Purdue's Grand Prix competition.
This team uses machine learning to build a system that detects humans, shapes, and motion in 3D space, with the objective to create an interface that all can use in the realm of dance performance and choreography. This team will work with Purdue Division of Dance DANC 351 students to develop this new technology.
Milestones teams allow first-year and sophomore students to gain skills and knowledge within the context of three different areas: 1) automotive; 2) autonomous systems; and 3) grand challenges. After completing the a semester of Milestones, students will be prepared to effectively contribute to VIP teams that align with their interests and goals.
Operations Research (ORSOL) This team will work with industrial stakeholders to build prototype analytical solutions.
Students will work with an international community of students in order to design, build and test a non-grounded rover prototype. The project will be carried online and feature optional events in France and Costa Rica.
This team will examine and evaluate the feasibility of application development, the application platform, vibration recreation via auxiliary and Bluetooth availability within watercraft, and portable speaker systems to produce vibrative effects to target designated aquatic species.
This group works on integrating security education into programming courses. Specifically, we focus on developing frameworks and infrastructure to use existing security tools in the curriculum.
Purdue Aerial Robotics Team (PART): This team works with the IEEE chapter's PART committee to develop autonomous UAV platforms with computer vision and machine learning applications.
This team will design, build, and tests electrical systems and power electronics for an electric vehicle.
PSR mixes aerodynamics with solar energy and mechanical design to build a solar powered car to race across America.
This team will use data from benchtop quantum optics experiments and EM simulations to design photonic integrated circuits for quantum networking
This team will complete the mechanical design towards a continuous operation of a turbine coupled with a rotating detonation combustor. Predict the performance of the turbine-combustor during transients.
ZERO EMISSION HYDROGEN FUEL CELL VEHICLES. Based on a case study of an end-to-end integrated ‘green’ hydrogen production and fueling of heavy-duty, off-road trucks for surface mining operations, Anglo-American has completed a year-long pilot project in South Africa of a hydrogen-powered ultra-class mining haul truck.
Research and Development in IoT and Edge Processing in the world of Industry 4.0
This team will develop computer vision and artificial intelligent systems for the robots in RoboMaster Club.
The team will design, build and test a set of land and water-based robots to monitor the physico-chemical conditions of watersheds.
Multi-Agent Control Simulation Platform: Creating a customizable drone swarm control and simulation platform utilizing the cloud.
Enhance the regex engineering tools relied on by millions of open-source software projects.
Software Supply Chain Transparency: this team will work with industry and open source partners to build software infrastructure to cryptographically verify provenance of software
This team will work with researchers from CE, EEE, and IE to model and visualize industrial water use.
To provide students with a comprehensive System on Chip design, fabrication and test experience.
Solar sail is a technology to propel spacecrafts using the optical pressure from the sun. Two video cameras will monitor the shape of the sail to estimate the optical pressure and the acceleration.
The Study Spot Availability Tracker team is working on project that will make finding study spots easier for students by allowing them to check the availability of study spots on campus in real time.
This team's goal is to create a standard for worldwide machine learning model development. We are creating high-quality implementations of state-of-the-art machine learning models.
This team will build and test various subsystems of nano-satellite and laser communications system.
With the recent changes in global infrastructure caused by COVID- 19, a team from Purdue Engineering has designed an innovative solution to alleviate a subset of problems when it comes to object disinfection and safe transmission.
VIrtual Super-resolution Optics with Reconfigurable Swarms (VISORS) is an NSF sponsored space mission which will deploy a 'distributed space telescope' - a three-piece CubeSat formation that will allow researchers to obtain high-resolution imagery of Sun’s surface.
This team image and video processing to analyze animals in their habitat.
This study aims to use video along with environmental sensors to develop a behavioral model that can be used to predict human action during design and before construction and to analyze pre- and post-COVID use patterns within the built environment.
The purpose of this team is to develop product prototypes, in the guidance of industry experts, that may have practical values for deployment.
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