Page 8 - CEGE Magazine Fall 2024
P. 8
GRADUATE STUDENT RESEARCH CONT...
My research aims to develop advanced
computational methods to enhance
modeling and simulation capabilities for
multiphysics systems. These methods are
enabled by state-of-the-art techniques
in artificial intelligence (AI) and machine
learning, and they can be applied to
multiphysics processes in fields from
geophysics to bioengineering. Better
models could enhance our understanding
of how complex systems, as well as
materials—from underground porous
medium to human tissues —behave in
response to external loading.
A prime example of our progress is a
solver we call NIM. This is a hybrid solver
that creates customized approximation
functions by integrating AI with traditional
numerical methods. This approach
addresses the challenges of high-
dimensional parameter spaces in neural
networks while avoiding the tedious
theoretical differentiation of constitutive
models. Thus, it helps us achieve more
efficient prediction and analysis of material
properties, as well as rapid and accurate
assessments of material behaviors.
Another example of progress is the
methodology we detailed in a paper
published in Computers and Geotechnics
(2023) that enables the accurate modeling
and simulation of density-driven flow in
porous media. This research enhances our
understanding of the long-term behavior of
CO2 in aquifers. This understanding is vital
for geological carbon sequestration, which
is being pursued to help to combat climate
change.
Honghui Du, Structures
Advised by Qizhi He
Received a Sommerfeld Fellowship
Automobiles and automation have long
been exciting and interesting concepts
to me, that’s why I'm here for a graduate
degree! I also have a minor background in
finance and project management.
Connected and automated vehicles and
intelligent intersections will be in great
demand all around the world. Transportation
is a major sector in every country and any
advancement in transportation systems
will make a huge improvement in terms of
investment needed and resources used.
Connectivity and automation of vehicles
present a huge opportunity. Connection
means that vehicles can talk to each other
and to the infrastructure. Automation means
that vehicles can perform computations and
follow instructions. In Michael Levin’s group,
we are utilizing connectivity and automation
to develop algorithms to improve road
safety and energy efficiency.
An interesting project that we just finished
is the development of a red light violation
warning system to be implemented in
connected vehicles. It warns the driver
when they may be violating a red light and
suggests deceleration (suggested brake
intensity is also displayed). The main benefit
is for drivers approaching a green light at
high speed with the potential that the light
might turn red when the vehicle is close
to the intersection. Our developed system
warns the driver a few seconds in advance,
which can help them avoid severe crashes.
Another ongoing project focuses on
developing an energy-efficient control
strategy for connected autonomous
vehicles (CAVs) and then to model the
strategy’s impact on the transportation
network. CAVs can save energy by driving
slower to save fuel, slowing down earlier
when approaching a red light, avoiding
stops, or re-routing to lower the average
travel time. My work is focused on realizing
more of these benefits.
Attending conferences and giving presentations is one of the most enjoyable
parts of my graduate experience. I have been to five conferences so far.
Having the class 'Storytelling for Engineers' in our department was a great
chance for me to, first, learn about the basics of presentations, and then to
practice my presentation and communication skills. I am an international
student with two years of English-speaking experience. This course helped
me build a structure for my writing and daily conversations. I use it all the
time! Although it might not sound like an engineering class, storytelling is a
necessary tool for every engineer.
I particularly appreciate the comprehensive support from my supervisor,
who is always available to discuss any concerns I have. This collaborative
atmosphere makes our research group a comforting and stimulating
place to work. Moreover, my project is at the cutting edge of technology,
integrating knowledge from various interdisciplinary fields, which
expands my expertise and perspective.
Maziar Zamanpour, Transportation
Advised by Michael Levin
8 CEGE | CSE.UMN.EDU/CEGE