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Building a crowdsourced engineering properties predictor knowledge base for food materials

Project Advisor
Professor Ashim Datta -

Project Area/Concentration
Material Properties, Database, Prediction, Visualization, Crowdsourcing

Project Description
While engineering properties for biomaterials exist in research papers, their access is difficult, and predictability is limited. Researchers at Cornell BEE are currently developing a database which enables easy access and convenient visualization of diverse engineering and manufacturing properties through a crowd-sourced website. A prototype of the website has been built with a sound foundation and basic functionalities—it is able to store, extract and visualize properties for a very large collection of materials. The most significant physical engineering aspect is building frameworks for material properties and ways to make sense of material properties from theoretical, semi-empirical, and empirical sources. The computer science aspects are: enabling crowdsourcing with effective oversight by a community, building user-friendly interface and visualization capabilities that better engages the audience, and improving the backend database and analysis capabilities.

Possible Courses
Transport Processes and Computation

Course number Course title
BEE 3500 Heat and Mass Transfer in Biological Engineering
BEE 4530 Computer-Aided Engineering: Applications to Biological Processes
BEE 6880 Applied Modeling and Simulation for Renewable Energy Systems
CEE 6720 Introduction to Finite Element Method
CHEME 7130 Chemical Kinetics and Transport
CS 4210 Numerical Analysis and Differential Equations
MAE 6230 Computational Fluid Dynamics
MAE 6510 Advanced Heat Transfer

Food Science and Biological Engineering

Course number Course title
BIOMI 6905 Prokaryotic Biology: Bacterial Pathogenesis
FDSC 4230 Food Processing A: Unit Operations and Food Packaging
FDSC 4250 Unit Operations and Dairy Foods Processing
FDSC 6650 Food and Bioprocessing Systems

Computer Science courses will be decided in consultation with Professor Datta and his CS colleague.