Teams

AAMED: Aero Astro MEDicine engineering

AAMED: This team will support skill development for students who are interested in space medicine, human performance, space biology, and astrobiology, with the parallel goal of producing meaningful engineering and scientific results in these fields.

ABC-PV: Agri, Building, Car Integrated Solar Photovoltaics

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.

AD RayOptics

AD RayOptics: Optical Tactile Sensing team will use computer vision techniques to build the next generation of tactile sensors

AERO: Aerodynamic research

AERO: Aerodynamic research team goal is to gain thorough knowledge of the state of the art in experimental aerodynamics research through publications and gain hardware skills for further discovery in an academic or industrial research laboratory.

AI Omics: Omics and AI for Disease Biomarker Discovery

AI Omics: This team uses mass spectrometry-based proteomics, machine learning and data visualization strategies to discover disease biomarkers from biofluids for certain diseases

AI Racing Software Development

AI Racing Software: Software development for high speed autonomous racing

AI Racing Systems: Systems Integration

AI Racing Systems: Systems integration for robotics in high speed environments

AI for Education

AI for Education: Drones (also called unmanned aerial vehicles, UAVs) can be used to handle dangerous tasks, such as inspecting buildings after earthquakes. Drones typically rely on computer vision for decision making, such as recognizing obstacles or objects of interest. This project aims to develop the solutions that can recognize objects captured by cameras mounted on drones.

AI-Thirst: Synthesizing Water Consumption Datasets in Computing

AI-Thirst: This team will synthesize facility-level water consumption data for computing facilities, with a focus on datacenters and semiconductor manufacturers, by using machine learning.

AIM: Artificial Intelligence in Music

AIM: 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.

AI_Industrial IoT Implementation (AI IIOT)

AI IIoT: AI IIOT team will implement sensors and internet of things (IoT) solutions at local manufacturing companies for data collection, visualization, and AI-based predictive analytics.

ASME PROST: ASME Prosthetics

ASME PROST: Work in small teams to create a unique and viable prosthetic hand using 3D-printing technology.

ASOL: Adaptive Systems and OPtimization Lab

ASOL: Adaptive Systems and Optimization Lab will focus on advancing real-time state estimation, control, and optimization techniques by integrating systems engineering principles with cutting-edge machine learning methodologies.

Accessibility and Usability Research

Conduct accessibility and usability research and analyze research data to make web-based tools, specifically CATME, more accessible.

Advanced Engineering Calculator

This team will work on developing a scientific calculator from scratch that will enhance the efficiency of how engineering students interact with calculators.

Air Force Research Laboratory - Unmanned Aerial System (PURT-UAS)

PURT-UAS: Formerly AFRL-UAS is 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.

Allegion - Improving Battery Life in IoT Security Solutions

The Allegion Improving Battery Life in IoT Security Solutions team (ALLE-IoT). In security/access control applications the preferred energy source is battery power. The ALLE-IoT team works to improve battery life by working on other sources besides the primary cell.

AutoIC: Automation and Intelligent Construction

AutoIC: This team leverages computer vision techniques (e.g., object detection, object localization, and object tracking) to support automation in engineering data analytics and construction operations using robots.

AutoVehic: Autonomous Vehicles

AutoVehic:

Autonomous Motorsports Purdue

AMP: Autonomous racing project including both software and hardware aspects, with emphasis on path planning, sensor fusion, and machine learning techniques.

BAJA

Purdue Baja Racing: This team designs, builds, and races a single-seat off-road buggy.

Bechtel IoT

Bechtel IoT: Research and Development in IoT and Edge Processing in the world of Industry 4.0

Beyond 5G

Beyond 5G: 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

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.

BioNanoTech - Assisting Nerves with Data Communication

The Biomedical Nanotechnology team will explore the use of nanotechnology to assist nerves with data communication in biomedical applications, such as vision restoration, cancer treatment, and nerve communication.

Biotransport

The Biotransport team uses machine-learning approaches and physical models to enhance biotransport for medical and pharmaceutical applications.

Build My Startup

This team provides opportunities for student entrepreneurs to work with experienced entrepreneurs and build the students’ startup companies.

CAST: Child Automated Speech-to-Text Team

CAST: 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.

CVGM: Computer Vision and Generative Models

CVGM: Computer Vision and Generative Models team will investigate methods of generative artificial intelligence to produce images or videos based on inputs that may include text, image, video, or music. This team will define metrics that evaluate generative models' abilities and limitations to produce desired outputs.

Cage Design - Measuring Brain Activity

This team works to develop a flexible, acrylic, live animal (rat) caging system and wire tether support system to enable measurement of EEGs (brain electrical activity) during epileptic seizures.

ChainVisor

ChainVisor: analyzing the security posture of IoT device software. The ChainVisor uses cybersecurity tools to understand and study how IoT devices are made and how they can be hacked.

Computational Quantum Electromagnetics (CQEM)

CQEM: 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.

Data Science for Smart Cities

Smart Cities: This project aims to conduct interdisciplinary research to develop data analytics tools using robotics and autonomous sensing.

Digital Forest Measurement

DFM: Digital Forest Measurements team will collect ground measurements, set up permanent plots, and compile existing ground and digital datasets for the ArborAmerica Walnut Thinning test plots near West Point, IN. This builds upon work that a previous student has already done on the sites.

Dynamics of Sociotechnical Systems in DIDM for College Student Success

ECELabs.io

ECELabs.io: This team maintains and develops a website to provide online access to hardware used in various ECE (and other) labs.

EHealth

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.

ETD: Educational Technology Development

ETD: This team develops innovative tools to enhance online learning in engineering, focusing on AI-enhanced automated grading systems, interactive content delivery, and personalized assessments.

Earth History Visualization

EHV: This team will focus initially on making our planet's history easily accessible to both public and scientific audiences.

Earth Remote Sensing with Signals of Opportunity

ERS: Design instrumentation and conduct field experiments to collect VVHF/P-band and S-band satellite signals.

Electric & Autonomous Vehicles

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.

FEMTA Suborbital Spaceflight Test

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

Foldtac: Optical Tactile Sensing team will use computer vision techniques to build the next generation of tactile sensors

Formula SAE

FSAE: This organization has the goal of designing, testing, and manufacturing a competitive racecar.

GAINS: Game-Dev AI NPC Simulation

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.

GE Robotics and Autonomous Systems

GE AI: 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.

Hand Assessment - Post-stroke Therapy Measurement using Webcam/SmartPhone

This project aims to develop measurements using phone/webcam video capture to enable at-home assessment of hand function to determine the effectiveness of post-stroke therapy.

Image Based Mobile Phone Applications (APPS)

APPS: The students will develop mobile phone applications that capture images of the scene and extract information from them using tools such as machine learning.

Imaging Processing and Analysis (IPA)

IPA: This team uses imaging based processing and analysis for a variety of research projects.

Integrated Photonics and Applications (formerly QUIP)

Integrated Photonics: This team will use data from benchtop quantum optics experiments and EM simulations to design photonic integrated circuits for quantum networking

Laser-Assisted Processing

LAP: This team is to perform research work in the laser-based manufacturing and materials processing area.

Lunabotics

Lbot: The team will design, build, test and prepare an autonomous robot for a lunar mining competition sponsored by NASA.

MEP: GoKart

MEP eKart: In collaboration with the Minority Engineering Program (MEP), the GoKart team will design, build, and test go-karts for Purdue's Grand Prix competition.

Machine Learning in Motion (MLM)

MLM: 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.

Market Failure in Legal Research

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

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: Growing Global Impact Data Analytics and Machine Learning

NanoHUB: 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?

Naval Surface Warfare Center - Artificial Intelligence

NSWC AIMM: The Naval Surface Warfare Center has developed an artificial intelligence maritime maneuvering challenge for six Indiana universities to compete with autonomous boats.

Operations Research (ORSOL)

ORSOL: Operations Research (ORSOL) This team will work with industrial stakeholders to build prototype analytical solutions.

PDE-STH: Plant Disease Epidemiology Sensor Technology Hub

PDE-STH: Plant Disease Epidemiology Sensor Technology Hub team uses advanced sensor-based technologies to better characterize plant disease epidemics.

PPML: Privacy-preserving Machine Learning

PPML: This team will build a prototype for privacy-preserving machine learning to perform inference computations on the GPU without revealing sensitive data.

PetroML

PetroML: Machine learning for accelerating the optimal solution of oil blending problem

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.

Posse: Securing Open-Source Software Ecosystem

Posse: 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

Pre-Trained Models in Deep Learning: This team’s goal is to develop new measurements and techniques for working with pre-trained models.

Privacy-preserving Machine Learning (PPML)

PPML: PPML team will build a prototype for privacy preserving machine learning to perform inference computations on the GPU without revealing sensitive data.

Program Analysis as a Service

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)

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.

Purdue Electric Racing

PER: This team will design, build, and tests electrical systems and power electronics for an electric vehicle.

Purdue Solar Racing (PSR)

PSR mixes aerodynamics with solar energy and mechanical design to build a solar powered car to race across America.

Quantum Algorithm Development

QuantAlgo: The team collaborates with IQPARC@Purdue and industry partners to create educational demonstrations and develop algorithms involving quantum information and science.

Race Horse Airway

RHA:Race Horse Airway team goal is to experimentally replicate the racing horse airway to investigate particle induced suboptimal function.

Race to Zero (R2Z): Supply Chain of Critical Minerals Needed in the Energy Transition for a Sustainable Future

R2Z: Supply Chain of Critical Minerals Needed in the Energy Transition for a Sustainable Future: The energy transition, which is increasing demand for critical minerals and metals, is putting pressure on the mining sector. Key to managing the critical minerals supply gap is assessing the inherent risks and opportunities. To hit net-zero emissions globally by 2050 (Race-to-Zero), the energy industry will require six times more mineral inputs by 2040.

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