I'm a graduate student at Cornell Tech, pursuing a dual Master's degree in Information Systems and Information Science. My research interests lie at the intersection of machine learning, digital twins, and urban informatics, with a focus on developing ethically-aware AI systems for smart city applications.
Under the guidance of Dr. Junfeng Jiao at the Urban Information Lab, I have worked on several projects that leverage advanced analytics and information technologies to optimize urban design and planning. These include the development of a real-time fire tracking map for the City of Austin, a blockchain-based food charity marketplace to alleviate food deserts, and a large language model for computational tasks.
At Cornell Tech, I am involved in research at the Urban Tech Hub, where I contribute to the development of NLP tools and the optimization of 311 call responses using machine learning. I also serve as a teaching assistant for the Break Through Tech AI initiative, which aims to increase diversity in technology fields through targeted education.
I graduated from The University of Texas at Austin two years early with a BS in Mathematics and certificates in Elements of Computing and Computational Science and Engineering. During my time at UT Austin, I worked as an undergraduate research assistant at the Good Systems initiative, focusing on the ethical design and societal impact of AI and machine learning.
Most recent publications on Google Scholar.
Voxelizing Google Earth: A Pipeline for New Virtual Worlds
Ryan Hardesty Lewis
SIGGRAPH Labs. 2024.
Crowdsourced Streetview: Integrating Real-Time Imagery Updates into Google Streetview
Ryan Hardesty Lewis
SIGGRAPH Poster. 2024.
Fire and smoke digital twin–A computational framework for modeling fire incident outcomes
Ryan Hardesty Lewis, Junfeng Jiao, Kijin Seong, Arya Farahi, Paul Navrátil, Nate Casebeer, Dev Niyogi
Computers, Environment and Urban Systems, 110, 102093. 2024.
@article{lewis2024fire, title={Fire and smoke digital twin--A computational framework for modeling fire incident outcomes}, author={Lewis, Ryan Hardesty and Jiao, Junfeng and Seong, Kijin and Farahi, Arya and Navr{'a}til, Paul and Casebeer, Nate and Niyogi, Dev}, journal={Computers, Environment and Urban Systems}, volume={110}, pages={102093}, year={2024}, publisher={Pergamon} }
ComputeGPT: A computational chat model for numerical problems
Ryan Hardesty Lewis, Junfeng Jiao
arXiv preprint arXiv:2305.06223. 2023.
@article{lewis2023computegpt, title={ComputeGPT: A computational chat model for numerical problems}, author={Lewis, Ryan Hardesty and Jiao, Junfeng}, journal={arXiv preprint arXiv:2305.06223}, year={2023} }
Gamifying Ethics for AI
Ryan Hardesty Lewis
arXiv preprint. 2023.
I'm proud to have been given the opportunity to present my work or lecture in various talks and workshops:
"Modeling and Evaluation Workshop" - Break Through Tech AI Workshop, 7 October 2023
Slides
"Building Cities Twice: The Making of Digital Twins" - Smart Cities and Generative AI Symposium, 18 August 2023
Slides
"Fire and Smoke Digital Twin" - Good Systems Symposium Poster Session, 4 April 2023
Poster
"Analyzing Downwind Smoke Impacts with Fluid Models" - CHEER Climate Change and Health Symposium Poster Session, 22 February 2023
Poster
Some of our work has been featured in various news outlets:
"Google Earth Transformed: Building a New World" - SIGGRAPH Blog, 4 June 2024
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"These are the neighbourhoods in most urgent need of trees" - BBC Future, 16 April 2024
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"Tree Folio NYC Aims to Monitor Urban Forest in Real Time" - Planetizen, 11 January 2024
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"Researchers advocate for new tech to revolutionize NYC infrastructure, and it's likely not what you think" - The Cooldown, 7 January 2024
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"When It Comes to Urban Trees, More Isn't Always Better" - Bloomberg CityLab, 9 October 2023
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"Digital twins in the fight to mitigate urban heat islands" - Geo Week News, 5 September 2023
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"A 3D interactive map of the shade provided by every single NYC street tree" - The Washington Post, 26 August 2023
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"New Yorkers, how much shade does your street really have? This map will tell you." - Gothamist, 21 August 2023
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"Throwing shade: Model maps NYC street trees' cooling benefits" - Phys.org, 14 August 2023
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"How artificial intelligence is making cities smarter" - The Drag Audio Production House, 23 April 2024
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"Project to Tackle Effects of Extreme Climate Unveiled by Doggett, UT and City of Austin" - UT News, 7 September 2023
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"UT-Austin researchers partner with Austin Fire Department to predict, map smoke impact on communities" - The Daily Texan, 8 February 2023
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"University of Houston using Artificial Intelligence to combat food insecurity" - FOX 26 Houston, 9 April 2023
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"University researchers are using AI to fight food insecurity" - FoodService Director, 4 April 2023
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"Project Combats Food Insecurity Through Artificial Intelligence" - UH News, 3 April 2023
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