AI for Behavioral Health – Intoxication Detection
AI for Behavioral Health: Machine Learning Approaches to Alcohol and Marijuana Intoxication Detection
Artificial intelligence is opening new frontiers in understanding human behavior through data. This talk explores how advances in machine learning and sensor analytics are transforming behavioral health assessment, with a focus on detecting alcohol and marijuana intoxication from motion and physiological data.
Drawing from interdisciplinary research across data science, healthcare, and behavioral studies, the session will walk through real-world AI pipelines—from data preprocessing and feature engineering to deep learning models like CNNs and Vision Transformers. Attendees will also gain insights into ethical and regulatory considerations, model interpretability, and deployment challenges.
The talk will highlight how AI-driven behavioral analytics can inform clinical care, improve community safety, and expand our broader understanding of human cognition and behavior.
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- Starts 12 October 2025 04:00 AM UTC
- Ends 21 November 2025 05:00 AM UTC
- No Admission Charge
Speakers
Samuel
AI for Behavioral Health – Intoxication Detection
Biography:
Samuel Uche is a PhD Candidate at Worcester Polytechnic Institute, MA, USA. His research work at Clinical AI Research (CARE) labs, is an intersection of Deep learning, Machine Learning, AI, Clinical data, alcohol and marijuana impairment detection and Healthcare.He holds a bachelor’s degree in Computer Science from University of Nigeria and a Master’s degree from Worcester Polytechnic Institute. His research work involves the application of deep learning models to analyze smartphone sensor human gait data for alcohol intoxication detection. A passionate technology enthusiast, he is the founder of two non-profits - BrainsOverSexuality International and Next Generation Technology Support Foundation. He is the winner of the MTNF Science and Technology Scholarship (2014-2017), WNE FTI Fintech Fellowship and NSBE Boston Scholarships. In his spare time, you would find him volunteering, compering events, watching documentaries and playing football.