2019 AIChE Annual Meeting

Session: Big Data and Analytics for Sustainability

This session focuses on big data and machine learning approaches for understanding sustainability.

Chair

William Barrett, US Environmental Protection Agency

Co-Chairs

Nastassja Lewinski, Virginia Commonwealth University
Raymond Smith, US Environmental Protection Agency

Presentations

08:00 AM

(51a) Sustainability in Saudi Aramco: Planning & Optimization
Mohammed Alyanbaawi

08:25 AM

(51b) Applying Machine Learning to Estimate Releases from New Uses of Existing Chemicals
Raymond Smith, Jose D. Hernandez-Betancur, David E. Meyer, Gerardo Ruiz-Mercado, William Barrett, Michael A. Gonzalez, John P. Abraham

08:50 AM

(51c) Supply Chain Management of Livestock Waste for Spatio-Temporal Control of Nutrient Pollution in Water Bodies
Yicheng Hu, Gerardo Ruiz-Mercado, Victor M. Zavala, Apoorva Sampat

09:15 AM

(51d) Introducing a New Quantitative Life Cycle Assessment Module for Biofuels and Bioproducts
Rui Shi, Yoel Cortes-Pena, Jeremy Guest

09:40 AM

(51e) A Data-Driven Framework for Biomass Selection and Process Optimization of Activated Carbon Production
Mochen Liao, Steve Kelley, Yuan Yao

10:05 AM

(51f) A Personal Exposure Agent Based Model (ABM) with the Capacity of Aggregation at Various Levels of Population Size
Dimosthenis Sarigiannis, Dimitrios Chapizanis, Spyros Karakitsios