Azmine Toushik Wasi
Aspiring AI Researcher and Engineering Student

📚 Formal Education

PhD in People-Centred Artificial Intelligence

October 2026 – Present

University of Surrey, United Kingdom

Research: Reliable and Transparent Foundation Models for Domain-Specific Applications

Supervisors: Dr. Sara Atito and Prof. Muhammad Awais

Affiliations: Centre for Vision, Speech and Signal Processing (CVSSP) and Surrey Institute for People-Centred AI (PAI)

Research focus: Foundation model reliability across vision language models (VLMs), video language models (VideoLMs), and multimodal clinical reasoning models, with an emphasis on evidence grounded reasoning, AI safety, alignment, and transparency in healthcare.

PhD project: Toward Reliable and Transparent Foundation Models for Domain-Specific Applications
Current foundation models, particularly large language models, still struggle with factual reliability, especially in specialized or high stakes domains. Although models such as GPT, LLaMA, Claude, and Gemini can generate fluent and convincing responses, they may still produce hallucinated or unsupported information. Hallucinations remain a challenge even in retrieval augmented generation (RAG) systems connected to external sources, as errors can occur during retrieval, reasoning, or generation. This creates a need for foundation models that can not only generate accurate responses, but also verify their outputs, express uncertainty, and provide traceable evidence for their claims. This research aims to improve the factual reliability and transparency of foundation models for domain specific applications, particularly in high stakes settings where incorrect outputs can have serious consequences.

Bachelor of Science (Engineering)

February, 2020 – September, 2025

Shahjalal University of Science and Technology

Industrial and Production Engineering

Overall CGPA
3.74 / 4.00
Last 2 years
3.89 / 4.00
Last 02 semesters
3.94 / 4.00


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