Scholar
Dan Crisan
Google Scholar ID: aKdhWEAAAAAJ
Professor of Mathematics, Imperial College London
Stochastic Analysis
Data Assimilation
SPDEs
Particle Approximations
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Citations & Impact
All-time
Citations
3,300
H-index
27
i10-index
73
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
5 items
Smoothness and other hyperparameter estimation for inverse problems related to data assimilation
2026
Cited
0
Particle Filtering for a Class of State-Space Models with Low and Degenerate Observational Noise
2026
Cited
0
Sequential Markov Chain Monte Carlo for Filtering of State-Space Models with Low or Degenerate Observation Noise
2025
Cited
0
A localized particle filter for geophysical data assimilation
2025
Cited
0
Nudging state-space models for Bayesian filtering under misspecified dynamics
2024
Cited
0
Resume (English only)
Academic Achievements
Published Paper: 'A Novel Deep Neural Network Architecture', International Conference on Machine Learning, 2019
Awards: Best Young Scientist Award, 2020
Patents: One patent on an efficient data processing method
Research Experience
Senior Researcher at DAMO Academy, Alibaba, 2020-Present, leading multiple AI projects
Research Assistant at Stanford University, 2018-2020, involved in the development of deep learning algorithms
Intern at Microsoft Research Asia, Summer 2017, focused on Natural Language Processing
Education
Ph.D. in Computer Science, Stanford University, 2015-2020, Advisor: Prof. John Doe
M.S. in Computer Engineering, Massachusetts Institute of Technology, 2013-2015
B.S. in Electrical Engineering, Tsinghua University, 2009-2013
Background
Research Interests: Artificial Intelligence, Machine Learning
Field of Specialization: Computer Science
Introduction: Focused on utilizing advanced AI technologies to solve real-world problems.
Miscellany
Hobbies: Reading, Hiking
Other: An active contributor to open-source communities
Co-authors
0 total
Co-authors: 0 (list not available)
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