Dr. Ernest Fokoue
Principal Investigator
As the Principal Investigator, Dr. Fokoue provides the strategic vision and academic leadership for the OpenBWC project. With a Ph.D. in Statistics and extensive experience in machine learning and data science, he guides the research methodology, ensuring ethical considerations and statistical rigor are at the core of our work. His passion lies in applying advanced computational techniques to solve pressing societal problems.
Jonathan Bateman
ML & Criminology Researcher
Jonathan bridges the critical gap between criminology and machine learning. His research focuses on developing fair and interpretable models to identify behavioral patterns in law enforcement interactions. With a background in both criminal justice and data analytics, he is instrumental in defining the features and metrics that matter for creating meaningful, evidence-based policy recommendations.
Anita Srbinovska
AI Researcher
Anita leads the natural language processing (NLP) and multimodal understanding efforts for the OpenBWC initiative. She develops pipelines that transform raw police body-worn camera (BWC) audio and transcripts into structured data, including Whisper-based speech-to-text, diarization, transcript correction workflows, and semantic parsing. She also works on ontology-driven reasoning, mapping police narratives into OWL knowledge graphs to support analysis, transparency, and research in policing.
Angela Srbinovska
ML & Computer Vision Researcher
Angela is the driving force behind our computer vision models. She specializes in object detection, activity recognition, and pose estimation to analyze the visual components of BWC footage. Her work is crucial for identifying non-verbal cues, the presence of weapons, and the physical dynamics of interactions, providing an objective layer of visual evidence to our analysis.
Vivek Senthil
ML & Data Engineering Researcher
Vivek architects the robust data pipelines and machine learning infrastructure that power the OpenBWC platform. He focuses on creating scalable, efficient systems for processing vast amounts of video data. His expertise ensures that our models are not only accurate but also deployable and maintainable, making our research accessible and practical for real-world application.