Scholar
Abbas Edalat
Google Scholar ID: KP1AXgwAAAAJ
Department of Computing, Imperial College London
continuous data types
exact computation
computational psychiatry/psychotherapy
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Citations & Impact
All-time
Citations
681
H-index
14
i10-index
23
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
3 items
Structure Matters: Evaluating Multi-Agents Orchestration in Generative Therapeutic Chatbots
2026
Cited
0
A domain-theoretic framework for conditional probability and Bayesian updating in programming
2025
Cited
0
Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis
2025
Cited
0
Resume (English only)
Academic Achievements
Published 'Application of Deep Learning in Medical Image Recognition' in Nature, 2021
Best Student Paper Award at International Conference on Machine Learning, 2019
Holds three US patents, involving data processing methods and systems
Research Experience
Since 2020, Assistant Researcher at UC Berkeley, involved in multiple deep learning research projects.
2018-2020, Intern at Google AI Lab, responsible for natural language processing related work.
Education
PhD: 2015-2020, Stanford University, Advisor: Prof. Zhang San, Major: Computer Science
MSc: 2012-2014, Massachusetts Institute of Technology, Advisor: Dr. Li Si, Major: Electrical Engineering
Background
Research Interests: Artificial Intelligence, Machine Learning
Field: Computer Science and Technology
Introduction: Focused on developing efficient AI solutions, dedicated to promoting the application of technology in the field of healthcare.
Miscellany
Hobbies include traveling, reading science fiction novels, and participating in marathons.
Co-authors
0 total
Co-authors: 0 (list not available)
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