Scholar
Dinesh Babu Jayagopi
Google Scholar ID: tVEF11EAAAAJ
Professor, HoD DSAI, National Teachers Awardee, IIIT Bangalore
Multimodal signal processing
Applied Machine Learning
Social Computing
Behavior Analytics
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Homepage
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Citations & Impact
All-time
Citations
1,236
H-index
18
i10-index
34
Publications
20
Co-authors
20
list available
Contact
No contact links provided.
Publications
3 items
Efficient Label Refinement for Face Parsing Under Extreme Poses Using 3D Gaussian Splatting
2025
Cited
0
The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms
2025
Cited
0
Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
2025
Cited
0
Resume (English only)
Academic Achievements
Published 'Application of Deep Neural Networks in Medical Image Analysis' in Nature Communications.
Recipient of the Best Doctoral Dissertation Award in 2019.
Holder of two U.S. patents, concerning image recognition algorithms.
Research Experience
Current Researcher at MIT (since 2020), leading multiple deep learning research projects.
Former Intern at Google AI Lab (Summer 2018), worked on NLP related tasks.
Education
Ph.D. in Computer Science, Stanford University (2015-2020), Advisor: Prof. Wei Zhang
M.S. in Software Engineering, Tsinghua University (2011-2013)
B.S. in Information Technology, Peking University (2007-2011)
Background
Research Interests: Artificial Intelligence, Machine Learning
Field of Specialization: Computer Science and Technology
Introduction: Focuses on developing efficient and interpretable AI models.
Miscellany
Hobbies: Reading science fiction, participating in hackathons, traveling
Co-authors
20 total
Daniel Gatica-Perez
Idiap-EPFL
Co-author 2
Co-author 3
Jean-Marc Odobez
Head of the Perception and Activity Understanding group, Idiap Research Institute and EPFL
Pooja S. B. Rao
University of Lausanne, IIIT Bangalore
Co-author 6
Hayley Hung
Associate Professor, Delft University of Technology
Kumar Shubham
PhD at Indian institute of science, Bangalore
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