DrAli Braytee

Eager to contribute my expertise to tackle industrial problems in AI and applied machine learning
Having experience leading several AI industrial projects using computer vision, LLM, RAG, conversational AI, Avatar generation and applied machine learning.

Research interest:

• Machine learning
• Computer vision
• Generative AI
• Multimodal learning
• Conversational AI chatbots
• RAG frameworks
• AI avatar generation
• Employing Large Language Models (LLMs) and Retrieval-augmented generation (RAG) to solve problems for various industries
  Applying machine learning across multiple disciplines, including healthcare systems, environmental studies, and education.

Applied AI research projects undertaken with interdisciplinary collaborators:

• AI in cancer research (e.g., leukemia, brain tumors, lung cancer) using multi-omics, single-cell, and imaging data
• Development of medical visual question answering (VQA) systems
• AI for vertigo detection using sensor, video, and text data
• Conversational AI chatbots based on Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) across various domains, including education and business
• AI in Telecom utilizing LLMs and KGs for network outage detection and resolution
• AI in agriculture utilizing LLMs and remote sensing technologies
• AI in environmental engineering to predict parameters in the desalination process (osmosis-based methods)

Internal Grants:
2018 UTS Blue Sky Research Scheme funding