Current graduate students
Notice of PhD Oral Defence - "Development of a Topical Ocular Drug Delivery System Using Polymeric Nanoparticles" by Shengyan Liu
PLEASE NOTE THAT THIS PHD DEFENCE IS RESTRICTED
Notice of PhD Oral Defence - "Advanced Heteroatom Doped Nanocarbon Materials as Platinum Catalyst Supports for Fuel Cells" by Md Ariful Hoque
Seminar “Electrocatalysis in Oxygen Reduction Reaction: New Materials & Understandings for Fuel Cell & Lithium Air Battery Applications” by Di-Jia Liu, Chemical Sciences & Engineering Division, Argonne National Laboratory
ABSTRACT: Globe warming and energy security are two major challenges the world is facing today. To preserve our environment and energy resource, it is imperative to maximize the utilization of existing fuels while exploring renewable sources. Fuel cell and lithium metal battery as the next-generation high-efficiency energy conversion and storage devices have attracted a great deal of attentions in recent years. This presentation summarizes some recent progresses in my laboratory in these two research areas.
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.
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.
Notice of PhD Oral Defence - "Development of a Nanocatalytic-Based Assay for the Detection of an Endocrine Disrupting Compound in Aqueous Solution" by Yazmin Bustami
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 - "Continuum Modeling of Two Battery Systems: Lithium-Sulfur and Rechargeable Hybrid Aqueous Cells", Mahmoudreza Ghaznavi
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.
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