ABC-PV: The survival of our planet depends on, among other things, the effective generation and use of renewable energy. In this project, we will explore experimentally and theoretically how solar modules can be integrated with cities, cars, building, agricultural land, to create a vast/vibrant energy resource for the humanity.
TeamsThe default setting for this page is to show teams for Fall 2023. Use the filters below to help identify Summer 2023 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
AD RayOptics: Optical Tactile Sensing team will use computer vision techniques to build the next generation of tactile sensors
AI Omics: This team uses mass spectrometry-based proteomics, machine learning and data visualization strategies to discover disease biomarkers from biofluids for certain diseases
Using Artificial Intelligence to Transform Music Performers' training and practice. This project will investigate how AI technology could transform the work of future music performers for both individual practice and collaborative practice.
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.
Autonomous racing project including both software and hardware aspects, with emphasis on path planning, sensor fusion, and machine learning techniques.
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.
This team provides opportunities for student entrepreneurs to work with experienced entrepreneurs and build the students’ startup companies.
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 create an Agent Based Model for Public Policy Analysis for Opioid Spread Mitigation
This team will support the development of large-scale quantum information preserving computational electromagnetics modeling methods to improve the design/optimization process of a wide range of quantum technologies.
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 project aims to conduct interdisciplinary research to develop data analytics tools using robotics and autonomous sensing.
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.
Foldtac: Optical Tactile Sensing team will use computer vision techniques to build the next generation of tactile sensors
This organization has the goal of designing, testing, and manufacturing a competitive racecar.
GAINS: This team uses Unreal Engine to develop AI-driven NPCs and interactive environments for use in simulating complex human behaviors and dynamics. Students will develop skills in NPC and environment/level scripting, perception, and interactivity through machine learning based NPC performance trials.
Manufacturing robotics: This team will work with GE research to develop innovative technologies to improve the scalability, flexibility, and agility of manufacturing automation platform with robotic operations.
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.
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.
This team will implement sensors and internet of things (IoT) solutions at local manufacturing companies for data collection, visualization, and AI-based predictive analytics.
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.
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.
There are benefits and pitfalls to the current method of law journal publication when compared to traditional systems of peer review. The result is that scholars from historically underrepresented groups or from under-resourced schools are priced out of this market. Purdue students will engage in direct research to map out this market failure and will help propose and design possible solutions.
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.
NanoHUB has served millions of visitors with online lectures and tutorials and enables 18,000 users annually to run over a million simulations. We have gathered millions of historical data sets over the last 10 years and are leaders in the world of science gateways. Can we use these data sets and make the user experiences better and grow the number of users? Can we develop business models that could help sustain NanoHUB in the long run?
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.
Pharmaceutical research with the Eli Lilly and Company and Purdue University Research Alliance Center (Pharma with the LPRC)
Pharma with the LPRC: Students in this team will work on forefront pharmaceutical innovation questions aimed at advancing medicine and patient care to change lives around the world.
The high-level goal of the team is to secure an open-source software ecosystem using state-of-the-art tools and techniques. There are three main thrusts (i.e., groups) in this project: static vulnerability analysis and CI best practices and hardening.
Pre-Trained Models in Deep Learning: This team’s goal is to develop new measurements and techniques for working with pre-trained models.
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
The team collaborates with IQPARC@Purdue and industry partners to create educational demonstrations and develop algorithms involving quantum information and science.
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.
This team will create and analyze smart materials capable of intrinsically assessing their condition.
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.
This team will work on semiconductor materials and device fabrication and characterization at Birck Nanotechnology Center
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.
This project involves research into legal issues arising in connection with manned spaceflight activities, with a particular focus on lunar exploration.
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 design and implement Tiny Machine Learning on low-power edge devices for smart manufacturing applications
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.
WMS - EV GoKart: Work as a team to modify and optimize the Krannert/IBE EV Go Kart. Strategize marketing tactics and sponsorship opportunities. Participate in community outreach projects. Combining all to have a chance to win the EV Go Kart Race in Spring 2024.
WMS - FAA: Learn the ins and outs to pass the FAA’s initial aeronautical knowledge exam: “Unmanned Aircraft General – Small (UAG). Earn your certificate drone pilot license. All fees will be covered by IBE.
WMS - IoT: Work with Laser Scanners, 3D Printers, and Virtual Reality to integrate technologies together to develop an end result.
The project will entail building a new world in Horizon world that emulates a social space for students in Purdue to experience using VR headsets.
WMS - PROLIM: Utilize Mendix to develop a visual Internet of Things (IoT)/Dashboard platform to monitor and measure chiller/heater performance.
WMS French Knot: Students in this VIP course will discover the key principles of effective warehouse space utilization and process optimization in the context of a design and shipping company.
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