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Space ISAC - Multi Orbit Interference and On Orbit Attacks
Open for Registration ROCKIES ONLINE
  • Lecture time: Tuesday: 10:10:00 - 11:00:00 ET
  • Lab time: Thursday: 09:00:00 - 10:50:00 ET
  • Domain: Aerospace
  • Keywords: Aerospace, Data Analytics, Python, Radio Frequency, Satellite, Space
  • Tools: Data Analytics, GitHub, Python, R
  • Citizenship: U.S. Citizens Required
Summary

Satellite constellation operators frequently experience interference to links between satellites and ground. Students will analyze data related to downlink jamming and other interference. In addition, will characterize interference and provide descriptive reports

  • Lecture time: Friday: 16:30:00 - 17:20:00 ET
  • Lab time: Monday: 16:30:00 - 18:20:00 ET
  • Domain: Aerospace
  • Keywords: Big Data, Weather Data
  • Tools: Databases, Data Management, Data Modeling, Geolocation, Geospatial Data Analysis, Time Series Data Analysis and Forecasting
  • Citizenship: U.S. Citizens Required
Summary

Space Domain Awareness (SDA) is one of the critical functions of the Space Operations Command (SpOC) of the US Space Force. SDA is the responsibility of the SpOC group known as Delta 2, the project sponsor.

  • Lecture time: Tuesday: 09:30:00 - 10:20:00 ET
  • Lab time: Thursday: 09:30:00 - 11:20:00 ET
  • Domain: Chemical Informatics
  • Keywords: Classification, Data Science, Machine Learning, Peroxides, Representation Learning, Safety, Time Sensitive Chemicals
  • Tools: Azure SQL Server, Cheminfomatics, Chemistry, Posit, Python, Shiny App, SQL Server, Version Control, Web App Development
  • Citizenship: Open to all students
Summary

This project aims to develop a database and user-friendly application for identifying and classifying time-sensitive chemicals, particularly those that can form peroxides.

  • Lecture time: Tuesday: 13:30:00 - 14:20:00 ET
  • Lab time: Thursday: 13:30:00 - 15:20:00 ET
  • Domain: Technology
  • Keywords: API, Automation, AWS Cloud Services, Azure, Cloud, Data Scraping, Documentation, infrastructure, Integration
  • Tools: Asana, AWS, Azure, Beautiful Soup, Docker, Git, JIRA, NLTK, PostgreSQL, Python, python-docx, ReportLab, Scrapy, SendGrid, SpaCy
  • Citizenship: Open to all students
Summary

Current release management process is done manually and resource-intensive. Celito's many Life Sciences customers require GxP impact assessments. The manual tracking and copy-paste efforts lead to inefficiencies and growing customer base creates scalability challenges.

Caterpillar - Time-In-Process Dashboard
Closed for Registration
  • Lecture time: Thursday: 13:30:00 - 14:20:00 ET
  • Lab time: Tuesday: 13:30:00 - 15:20:00 ET
  • Domain: Manufacturing
  • Keywords: Interactive Features
  • Tools: Oracle Databases, Power BI, Python, SQL
  • Citizenship: Open to all students
Summary

Develop a PowerBI dashboard that presents Time-In-Process (start of line to current location) as well as Time-In-Workstation (elapsed time in current location)

  • Lecture time: Monday: 13:30:00 - 14:20:00 ET
  • Lab time: Friday: 13:30:00 - 15:20:00 ET
  • Domain: Government
  • Keywords: Data Cleaning, data standardization, Exploratory Analysis
  • Tools: Python, R, SQL
  • Citizenship: U.S. Citizens Required
Summary

ICJI is interested in an evaluation and exploratory analysis of the data, the development of tools such as data dictionaries and standardization methods, and recommendations for county jails on data improvements and standardization.

Kautex - Virtual Melt Flow Index Sensor
Closed for Registration
  • Lecture time: Thursday: 09:30:00 - 10:20:00 ET
  • Lab time: Tuesday: 09:30:00 - 11:20:00 ET
  • Domain: Manufacturing
  • Keywords: Machine Learning, Python, Statistical Analysis
  • Tools: Cross Functional Collaboration, Machine Learning, Material Science, Python, SQL
  • Citizenship: Open to all students
Summary

Develop a regression model for real time melt flow index utilizing live and historically captured equipment, material and process data. Optimize process stability while being able to predict critical material changes. Generate best next steps for equipment operators.

  • Lecture time: Friday: 17:30:00 - 18:20:00 ET
  • Lab time: Monday: 17:30:00 - 19:20:00 ET
  • Domain: Health
  • Keywords: Alzheimer's Disease, biology, Disease Detection, Machine Learning, mRNA RNA-Seq
  • Tools: Biostatistics, Python, R
  • Citizenship: Open to all students
Summary

Precision Medicine Diagnostics has transitioned to multi-analyte, machine learning generated classifiers for health and disease with unique regulatory challenges requiring data simulation to model reproducibility.

Cultivate Food Rescue - Pantry Deserts
Closed for Registration NDMN/IDM ONLINE
  • Lecture time: Tuesday: 15:30:00 - 16:20:00 ET
  • Lab time: Thursday: 15:30:00 - 17:20:00 ET
  • Domain: Research and Development
  • Keywords: Food Desert, Food Equity, Food Insecurity, Pantry dESERT, Story Map, Sustainability
  • Tools: Data Analytics, Data Visualization, Python, R
  • Citizenship: Open to all students
Summary

This data mine project will expand on how to illustrate the concept of a pantry desert and better define the term. This project will use census tract data to identify the areas of highest need to better allocate resources to communities most impacted by pantry deserts.

  • Lecture time: Monday: 09:30:00 - 10:20:00 ET
  • Lab time: Friday: 09:30:00 - 11:20:00 ET
  • Domain: Agriculture
  • Keywords: Predictive Modeling
  • Tools: Predictive Models, Python, Statistics
  • Citizenship: U.S. citizens and permanent residents preferred
Summary

Strategically positioning our vegetable products at Syngenta in the most suitable markets is crucial for product success. Product performance is influenced by the combination of genetics, environment, and management practices.