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  • Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Aerospace
  • Keywords: Aerospace, AI, cyber security, High Performance Compute, Machine Learning
  • Tools: GitHub, Machine Learning, Neural Network, Python, Pytorch, Tensorflow
  • Citizenship: U.S. Citizens Required
Summary

This project will serve as an exploratory effort into the use of AI to conduct automated cyber anomaly detection with the use of a generative adversarial network (GAN) architecture.

PepsiCo - Mapping Environmental Risks
Closed for Registration
  • Lecture time: Friday: 10:30:00 - 11:20:00 ET
  • Lab time: Monday: 09:30:00 - 11:20:00 ET
  • Domain: Research and Development
  • Keywords: Climate Change, Dashboard, Data Scraping, GIS, PowerBI, Predictive Analysis, Sustainability
  • Tools: social listening
  • Citizenship: Open to all students
Summary

Create dashboard that monitors predictions for upcoming week for: Floods, Drought, Freeze, Extreme heat, Rainwater quantity, Humidity and predictions for changes to the frequency or magnitude of weather, alerts, and local news.

  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Agriculture, Climate Change, Crop Yield, Public data access, Weather Data
  • Tools: Linux, Public Data Access, Python, R, Spatio-temporal analysis, Statistics
  • Citizenship: Open to all students
Summary

Improve our understanding of potential climate change effects on business operations and agriculture in general.

  • Lecture time: Friday: 16:30:00 - 17:20:00 ET
  • Lab time: Monday: 16:30:00 - 18:20:00 ET
  • Domain: Aerospace
  • Keywords: Aerospace, cyber security, Data Analysis, Data Analytics, Satellite, Space
  • Tools: Data Analytics, Data Management, Geospatial Data Analysis, GitHub, Open Source, Python, R
  • Citizenship: U.S. Citizens Required
Summary

Report on ground infrastructure cyber-security and streamlined process/tool for data collection, storage, and analysis

Space ISAC - Space Weather
Open for Registration ROCKIES ONLINE
  • Lecture time: Thursday: 16:30:00 - 17:20:00 ET
  • Lab time: Tuesday: 16:30:00 - 18:20:00 ET
  • Domain: Aerospace
  • Keywords: Aerospace, Data Analysis, Data Analytics, Space, Weather Data
  • Tools: GitHub, Python, R, Satellite Imagery
  • Citizenship: U.S. Citizens Required
Summary

Investigate threats posed by space weather to satellites in LEO. Cross-correlate a variety of open-source space weather data with proprietary satellite anomaly information from Space ISAC member Satellite Operator(s).

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Aerospace
  • Keywords: Data Cleaning, Data Modeling, Geospatial Analysis, Large Language Models
  • Tools: Data Analytics, Geolocation, Geospatial Data Analysis, Large Language Models
  • Citizenship: U.S. Citizens Required
Summary

Problem Statement: Eroding U.S. military advantage over China and Russia undermines our ability to deter aggression and coercion in the Indo-Pacific. Central Idea: A credible military advantage translates into continued economic and political freedom.

Cummins - Trip Qualification
Open for Registration INDY
  • Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Manufacturing
  • Keywords: Machine Learning
  • Tools: Databricks, Python, SQL
  • Citizenship: Open to all students
Summary

Develop a data filtering tool that can help improve ML model decision making by eliminating records that may either skew the results or be unsuitable for the learning process.

  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Agriculture
  • Keywords: Abamectin, Almonds, Correlation, Miticides, Nealta, Predictive Analysis
  • Tools: Excel, SAS, Statistics
  • Citizenship: Open to all students
Summary

Analyze historical data of miticide applications on California almond acres and test if a correlation exists between the 1st application of a non-premium miticide and the second application of premium brands. Develop a model for application needs.

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Agriculture
  • Keywords: Agriculture, biology, Data Visualization, Genetics, Manufacturing, Optimization, Sustainability, Visualizations
  • Tools: Clustering Algorithms, Excel, Python, R, SQL, Statistics
  • Citizenship: Open to all students
Summary

Use data science to identify key factors affecting seed quality and germination with large historical datasets and statistical tools to impact business decisions. Factors include weather, field location, farming practices, harvest date, seed genetics/handling/age/shape and more.

CTB - Data Modeling
Open for Registration
  • Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Data integrity, Data Modeling, failure detection, notification
  • Tools: Azure, Data Analytics, Python, SQL
  • Citizenship: Open to all students
Summary

This project progresses our pursuit of condition-based maintenance & predictive maintenance by developing data models to: 1. Analyze equipment data sets 2. Send a message when an anomaly is detected.