Scholar
Prithul Sarker
Google Scholar ID: kl3_YggAAAAJ
Software Engineer at Google | Ph.D. in Computer Science
Citations & Impact
Citations
1,165
H-index
19
i10-index
30
Publications
20
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- - Strong publication record in virtual reality, computer vision, machine learning, and deep learning
- - Received a $50,000 award as part of the NSF I-Corps Program for his work on detecting conditions like traumatic brain injury through VR-based eye tracking data analysis
Research Experience
- - Software Engineer, Google, Jan 2025 – Present, focusing on machine learning aspects of the recommendation system at Google Search
- - PhD Software Engineer Intern, Google Research (Health AI), May 2024 – Aug 2024, worked on temporal modeling of geospatial data to predict disease progression
- - Software Developer Intern, SGX3, Texas Advanced Computing Center, The University of Texas at Austin, Jun 2023 – Aug 2023, involved in Frontera HPC system work
Education
- - Ph.D. in Computer Science, 2021 - 2024, University of Nevada, Reno
- - MS in Computer Science, 2021 - 2023, University of Nevada, Reno
- - B.Sc. in Electrical & Electronic Engineering, 2013 - 2017, Bangladesh University of Engineering and Technology
Background
- - Research Interests: AI in healthcare, particularly score-based generative modeling for anomaly detection and classification tasks
- - Professional Fields: Virtual Reality, Computer Vision, Machine Learning, Deep Learning
- - Biography: Currently working as a software engineer at Google. His doctoral research focused on unsupervised anomaly detection using score-based generative models for multivariate time series data, applied to concussion and ocular disease case studies.
Miscellany
- - Interests include: Pupillometry in Extended Reality, Artificial Intelligence in Healthcare, Computer Vision, Deep Learning, Virtual Reality
- - Started self-learning programming since 2006, passionate about solving complex problems and participating in coding challenges on competitive platforms
