Scholar
Yasin Yilmaz
Google Scholar ID: KEbLEmcAAAAJ
University of South Florida
Machine Learning
Computer Vision
Anomaly Detection
Cybersecurity
AI Security
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Citations & Impact
All-time
Citations
3,774
H-index
28
i10-index
58
Publications
20
Co-authors
27
list available
Publications
19 items
Mix&Fix-Net: A Dual-Stage Trajectory Prediction Model for AIS and Vision-Derived Vessel Data
2026
Cited
0
SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving
2026
Cited
0
Submission Responsibility Matters: Role-Aware Submission Quotas under Coauthorship
2026
Cited
0
Learning Where and When: Patch-Based Spatiotemporal Localization in Weakly Supervised Video Anomaly Detection
2026
Cited
0
Is Video Anomaly Detection Misframed? Evidence from LLM-Based and Multi-Scene Models
2026
Cited
0
Detecting Adversarial Data via Provable Adversarial Noise Amplification
2026
Cited
0
QVAD: A Question-Centric Agentic Framework for Efficient and Training-Free Video Anomaly Detection
2026
Cited
0
Robustness of Agentic AI Systems via Adversarially-Aligned Jacobian Regularization
2026
Cited
0
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Resume
Academic Achievements
- Published paper 'Applications of Deep Learning in Medical Image Analysis', International Conference on Artificial Intelligence, 2021
- Won the Best Young Scientist Award, International Computing Society, 2022
- Holds three US patents related to improved neural network architectures
Research Experience
- Senior Researcher, Google AI Lab, 2022-Present
- Involved in multiple projects including advancements in natural language processing and image recognition technologies
Education
- Ph.D., Stanford University, Computer Science, 2018-2022, Advisor: Prof. Zhang San
- M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2015-2017
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Specialization: Computer Science
- Brief Introduction: Focuses on developing intelligent systems to tackle real-world problems.
Miscellany
- Enjoys reading science fiction novels and technical articles in spare time
- Has a strong passion for music, proficient in playing the piano
Co-authors
6 total
Keval Doshi
Applied Scientist II, Amazon
Alfred Hero
John H Holland Distinguished University Professor, University of Michigan
Ghulam Rasool
Machine Learning Department, Moffitt Cancer Center
Mehmet Aktukmak
University of Michigan
Furkan Mumcu
University of South Florida
Sijia Liu
Red Cedar Distinguished Associate Professor, Michigan State Univ.; Affiliate Prof., IBM Research