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Seminar - “Smart Plants and Big Data: Some Challenges and Solutions”, Dr. Yuri A.W. Shardt, Research Assistant, University of Duisburg-Essen, Duisburg, Germany
ABSTRACT: With the growing demands placed on industrial production to achieve an integrated smart plant, factories require the development of efficient and viable methods for analysing and assessing the available data. Recently, the emphasis has focused on the development of data-driven control methods that use economic key performance indices (KPIs).
Seminar - “LATENT VARIABLE MODELING AND SYSTEM IDENTIFICATION IN PROCESS SYSTEMS ENGINEERING” by Masoud Golshan, PhD, PEO, Technology Leader, Royal Dutch Shell
ABSTRACT: Due to the increasing focus on energy efficiency, environmental regulations, and market competitiveness, developing technologies for innovative process operation is an active research subject in academia and industry. Process Systems Engineering (PSE) technologies play an important role in addressing these challenges. Since most of advanced PSE methodologies use model-based algorithms, developing a representative and reliable process model is a crucial step in utilizing advanced technologies in process industries.
Notice of PhD Oral Defence - "Application of Polyvinylamine in Removal of Heavy Metals from Wastewater by Polymer-Enhanced Ultrafiltration and Adsorption" by Yifeng Huang
Seminar - “Learning Complex Process Systems from Data”, by Aditya Tulsyan, Process Systems Engineering Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
ABSTRACT: With the advent of the Internet of Things (IoT), smart devices and smart manufacturing, the amount of data collection has grown exponentially in a manner analogous to the Moore's law. The explosion in data availability, variety and size have enabled engineering, medicine, science and finance to heavily invest in data-based learning projects. Some of the successful learning projects, include The Human Genome Project, Google Flu Trends, Tesla Self-Driving Car Project and GE Industrial IoT.
Notice of PhD Oral Defence - "High Performance n-Type Polymer Semiconductors for Printed Logic Circuts" by Bin Sun
Notice of PhD Oral Defence - "Continuum Modeling of Two Battery Systems: Lithium-Sulfur and Rechargeable Hybrid Aqueous Cells", Mahmoudreza Ghaznavi
Notice of PhD Oral Defence - "Classification Algorithms Based on Generalized Polynomial Chaos" by Yuncheng Du
Seminar “Microscale Multi-Phase Flow Technologies for Sustainability, Pharmaceutical Chemistry, and Nanomaterial Synthesis” by Milad Abolhasani, Ph.D., Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
ABSTRACT: Molecular transport spanning multiple phases and drastically different length scales occurs in our daily life and controls our health and surrounding environment; such transport phenomena include greenhouse gas generation from combustion of fossil fuels and drug transport and delivery within the human body.
Seminar - “Insights into Multiphase Flows in Porous Media from Direct Numerical Simulations” by Orest Shardt, Postdoctoral Research Fellow, Complex Fluids Group, Mechanical and Aerospace Engineering, Princeton University
ABSTRACT: Lattice Boltzmann methods, due to their amenability to parallelization and ability to handle geometrically complex boundaries, are appealing for simulating flows with particles, droplets, and bubbles when experimental observations and manipulations are not possible. This talk will present recent advances in the use of these methods for simulating droplet coalescence and particle motion in confined geometries.