Multi-Modal Anomaly Detection in Human Behavior using Deep Learning and large Language Models (PhD) draft
Loughborough , United Kingdom
Tuition Fee
GBP 26,000
Per year
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Courses
Major
Cognitive Science | Psychology | Research Methods
Area of study
Social Sciences
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 26,000
Intakes
| Program start date | Application deadline |
| 2024-07-01 | - |
| 2024-10-01 | - |
| 2025-01-01 | - |
About Program
Program Overview
This PhD project aims to develop a comprehensive system for detecting anomalies in human behavior by leveraging both visual and textual data. The project will combine deep learning models for image and video analysis with large language models for natural language understanding, creating a multi-modal approach to enhance the accuracy and interpretability of anomaly detection in various scenarios. The successful candidate will have access to state-of-the-art facilities and work with a strong AI research team, with potential applications in security, surveillance, healthcare monitoring, and other domains.
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