Decision, Risk And Big Data Analytics
Students will look at challenging topics related to decision, risk, and big data analytics.
Project description
The students will work with faculty, graduate students, and undergraduate students on challenging topics related to decision, risk, and big data analytics. The tools that will be used include: network analysis, mathematical modeling, data analysis, machine learning, decision analysis, game theory, risk analysis, and programming (e.g., using Matlab, R, PHP, Java, Python). Examples of recent projects include the modeling of misinformation spreading and debunking on social media, data analytics for wildfire management, protecting soft targets (such as schools, surface transportation, houses of worship), human trafficking and smuggling, and border security.
Project outcome
The students would finish a research report. There will be opportunities to get journal or conference publications, and conference presentations.
Project details
| Length of commitment | Year-long 10-12 months |
| Start time | Anytime |
| In-person, remote, or hybrid? | Hybrid |
| Level of collaboration | Small group project (2-3 students) OR Large group collaboration (4+ students) |
| Benefits | Potential academic credit, work study, and/or stipend |
| Who is eligible | All undergraduate students who are studying or interested in engineering, decision analytics, and/or data analytics. |
Project mentor
Jun Zhuang
Morton C. Frank Professor
Industrial and Systems Engineering
Start the project
- Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
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Preparation activities
The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.
Keywords
industrial engineering, systems engineering, machine learning, analytics, risk, game theory, programming