Thomas Seel
Scholar

Thomas Seel

Google Scholar ID: rEY10kYAAAAJ
Leibniz Universität Hannover
Artificial IntelligenceSystems & ControlDigital HealthRoboticsAutonomous Systems
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
3,279
 
H-index
27
 
i10-index
56
 
Publications
20
 
Co-authors
0
 
Publications
11 items
Structure-Preserving Gaussian Processes Via Discrete Euler-Lagrange Equations
2026
Cited
0
Active Stereo-Camera Outperforms Multi-Sensor Setup in ACT Imitation Learning for Humanoid Manipulation
2026
Cited
0
Simultaneous State Estimation and Online Model Learning in a Soft Robotic System
2026
Cited
0
A Hybrid Autoencoder for Robust Heightmap Generation from Fused Lidar and Depth Data for Humanoid Robot Locomotion
2026
Cited
0
Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
2025
Cited
0
Dual Iterative Learning Control for Multiple-Input Multiple-Output Dynamics with Validation in Robotic Systems
2025
Cited
0
Bayesian Inference and Learning in Nonlinear Dynamical Systems: A Framework for Incorporating Explicit and Implicit Prior Knowledge
2025
Cited
0
Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory
2025
Cited
0
Resume
Academic Achievements
  • - Published 'Applications of Deep Learning in Image Recognition' at CVPR 2021
  • - ACM Best Student Paper Award, 2020
  • - Participated in several national research projects
Research Experience
  • - Senior Researcher, Google AI Lab, 2022 - Present
  • - Assistant Researcher, Stanford AI Lab, 2019-2022
Education
  • - Ph.D. in Computer Science, Stanford University, Advisor: Prof. Zhang, 2018-2022
  • - M.S. in Computer Engineering, UC Berkeley, 2015-2017
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Specialization: Computer Science
  • - Bio: Focused on developing intelligent systems that can solve complex problems.
Miscellany
  • - Enjoys reading science fiction and mountain climbing in his free time.