October 2022 Colloquium

Advances in AI for Sustainability

While infrastructure, both static and dynamic, is the driver of the modern global economy, it is also a significant contributor towards global climate change due to the increased emissions. Artificial intelligence (AI) provides a radical framework for mitigating emissions by improving efficiency in static infrastructure, as well as enhancing mobility in transportation through low-carbon transport options and reduction in overall travel time. Through this mini-colloquium, we hope to bring together researchers from varied fields employing AI on these strategies.

Colloquium Public Presentations: Oct. 6,  8:00am – 1:00pm
Remote. Register to attend.

Faculty Workshop: Date & Time TBD
Remote. Registration link coming soon.

About the Speakers

Dr. Felix Creutzig

Dr. Felix Creutzig

Prof. Dr. Felix Creutzig is head of the working group Land Use, Infrastructures and Transport and Chair of Sustainability Economics at Technische Universität Berlin. He was lead author of the IPCC’s Fifth Assessment Report and lead analyst of the Global Energy Assessment. His research focuses on conceptualizing and quantifying GHG emissions of cities world-wide, assessing opportunities for GHG mitigation of cities world-wide and building models of sustainable urban form and transport.

Dr. Lynn Kaack

Dr. Lynn Kaack

Dr. Kaack is Assistant Professor of Computer Science and Public Policy at the Hertie School. Her research and teaching focus on methods from statistics and machine learning to inform climate mitigation policy across the energy sector, and she also has an interest in climate-related AI policy. She is a co-founder and chair of the organization Climate Change AI, and a member of the Austrian Council on Robotics and Artificial Intelligence, which is an advisory board of the Austrian Ministry for Climate Action.

Priya L. Donti

Priya L. Donti

Ms. Donti is a Ph.D. Candidate in the Computer Science Department and the Department of Engineering & Public Policy at Carnegie Mellon University, co-advised by Zico Kolter and Inês Azevedo. She is also a co-founder and chair of Climate Change AI, an initiative to catalyze impactful work at the intersection of climate change and machine learning. Her work focuses on machine learning for forecasting, optimization, and control in high-renewables power grids. Specifically, her research explores methods to incorporate the physics and hard constraints associated with electric power systems into deep learning models.

Dr. Moataz Mohamed

Dr. Moataz Mohamed

Dr. Mohamed’s research focuses on the systemic evaluation of transportation networks to achieve sustainable and resilient transportation systems. He is a strong believer of zero-emission, sustainable, resilient transit systems that support the rise of smart communities. His research focuses on the utilization of disruptive technologies in public transit networks with emphasis on electric and autonomous technologies. In particular, he investigates the operational efficiency of disruptive technologies in public transit networks with emphasis on; operational reliability, environmental assessment, and total cost of ownership. His research also investigates the systemic impacts of the transit system on utility grid and energy demand.

Schedule

Public Session: October 6

Location: Remote via Zoom

Registration

Agenda
Opening Remarks
8:00am - 8:15am
Dr. Felix Creutzig
8:15am-9:00am
Dr. Lynn Kaack
9:00am-9:45am
Break
9:45am-10:00am
Dr. Priya Donti
10:00am-10:45am
Dr. Moataz Mohamed
10:45am-11:30am
Roundtable Self-Introduction
11:30am-11:40am
Roundtable Discussion: How to improve exposure of the AI-sustainability community in top conferences
11:40am-11:55am
Roundtable Discussion: Data-driven research vs. theory-driven research, OR lessons learned from previous years
11:55am-12:20pm
Roundtable Discussion: Future colloquiua / webinars on AI-sustainability
12:20pm-12:45pm
Closing Remarks and Free Discussion
12:45pm-1:00pm

Faculty Workshops: Date & Time TBD

Location: Remote via Zoom

Registration: Opening Soon

Possible Discussion Topics:
How to improve exposure of the AI-sustainability community in top conferences
Data-driven research vs. theory-driven research
Lessons learned from the past years

Colloquium Organizers

Contact Us

Questions? Message the MIDAS team: midas-contact@umich.edu