Domniki Asimaki
Scholar

Domniki Asimaki

Google Scholar ID: o5_Mbh8AAAAJ
California Institute of Technology
Ground MotionsSite EffectsSite ResponseSoil-Structure InteractionGeotechnical Earthquake Engineering
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Citations & Impact
All-time
Citations
1,772
 
H-index
27
 
i10-index
47
 
Publications
20
 
Co-authors
0
 
Publications
3 items
Scalable Gaussian Process for Learning Non-Ergodic Ground Motion Model from Physics-Based Simulations with Application to Power Infrastructure Assessment
2026
Cited
0
Large-Scale 3D Ground-Motion Synthesis with Physics-Inspired Latent Operator Flow Matching
2026
Cited
0
Mesh-Informed Neural Operator : A Transformer Generative Approach
2025
Cited
0
Resume
Academic Achievements
  • Published paper in Nature, 2021
  • Best Paper Award, ICML Conference, 2022
  • Holds two US patents related to deep learning model optimization
Research Experience
  • Senior Researcher, Google AI Lab, 2020-Present
  • Project Lead, MIT CSAIL, 2018-2020
Education
  • PhD in Computer Science, Massachusetts Institute of Technology (MIT), Advisor: Prof. Zhang, 2015-2020
  • MSc in Software Engineering, Stanford University, 2013-2015
Background
  • Research Interests: Artificial Intelligence and Machine Learning
  • Field of Specialization: Computer Science
  • Bio: Focused on developing efficient AI algorithms to tackle real-world problems.
Miscellany
  • Enjoys reading science fiction and hiking in his free time