Current students

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.

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.

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.

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.

 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.

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).