The project is highly interdisciplinary focusing on the areas of renewable and clean energy, healthcare systems, climate change, etc.
The project will include preliminary review of existing literature in the specific research areas, collection of data from various resources (publicly available databases, google maps, etc.), integrating the different datasets, performing data visualization to understand the trends and characteristics of the data and write a report about their observations.
Students will be given the opportunity to present their findings in relevant conferences / workshops.
Highly motivated students interested in research are encouraged to contact Prof. Sayanti Mukherjee with their CV and a short paragraph of why they are interested in this project.
Disciplines: Industrial & Systems Engineering, Computer Science, Computer Graphics, Geographic Information Science, etc.
Student Skill-Set Needed: R programing, Statistics, Machine Learning, Ability to work independently, Ability to think critically and be creative
Compensation: Academic Credit, Salary / Stipend
Available: Fall, Spring, Summer
For further information on this opportunity, or to apply, contact:
Faculty Member: Sayanti Mukherjee
Title: Assistant Professor
Department: Industrial And Systems Engineering
Office: 411 Bell Hall