Pranay Seshadri
Georgia Institute of Technology
Associate Professor,
Daniel Guggenheim School of Aerospace Engineering,
Faculty, Center for Machine Learning
Georgia Institute of Technology.
Email | Publications
Events
Towards Net-Zero Aviation with AI
I am co-organizing a mini-workshop on how AI can supercharge efforts to decarbonize aviation in the short-term. This will be held on June 4-5 2024 at Georgia Tech. For more information, do check out the workshop page.
Teaching
Spring 2024
AE2010/2011: Fluid Fundamentals & Thermodynamics
AE8803: Gaussian Processes for Machine Learning
Research
My research cuts across sustainable aviation and machine intelligence. I employ both experimental and computational methods to address key grand challenges. To learn more about my team’s contributions within these individual areas, please click the links below.
Sustainable Aviation
Grand challenges
- Identify operational and policy-level decisions to decarbonize aviation within the next 3-5 years.
- Develop calculators for more precisely predicting airline and airport emissions and their breakdown.
Machine Intelligence
Grand challenges
- Build probabilistic pattern of life models that can forecast well into the future.
- Ensure models are low latency and that they can ingest hetrogenous data.
Team
I serve as the technical and pastrol advisor for the following graduate students:
- Bipin Koirala (PhD, Machine Learning)
- Grant Ewing (MS, Aerospace Engineering)
- Samantha Allen (MS, Aerospace Engineering)
- jointly advised with Dan Koltyar
- Howon Lee (PhD, Aerospace Engineering)
- jointly advised with Juergen Rauleder
Contact
Laboratory
Room 108 Montgomery Knight
270 Ferst Drive,
Atlanta, GA 30332