The students will work with faculty, graduate students, and other undergraduate students on challenging topics related to decision, risk, and big data analytics. The tools will be used include: network analysis, mathematical modeling, data analysis, machine learning, decision 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, and fire risk forecasting and resource management.
Disciplines: Industrial Engineering, Computer Science, Others
Student Skill-Set Needed: Excellent oral and written presentation skills; Basic mathematics/calculus skills are required. Computer programming is not required but recommended.
Compensation: Academic Credit, Salary / Stipend, Volunteer, Work Study
Available: Fall, Spring, Summer
For further information on this opportunity, or to apply, contact:
Faculty Member: Jun Zhuang
Title: Associate Professor
Department: Industrial And Systems Engineering
Office: 317 Bell Hall