Md Tanzib Hosain

I am a recent graduate from the Department of Computer Science, part of the Faculty of Science and Technology at American International University-Bangladesh, where I worked on computational linguistics integrated human computer interaction and learning algorithms.

I collaborate with Prof. Mohammad Ali Moni (UQ) on artificial intelligence in medicine, agents, and linguistic fairness or bias; and Md Rizwan Parvez, PhD (QCRI) on machine translation, agents, and reasoning. My research centers on AI for mathematical and scientific understanding, spanning (1) Language Models—LLMs as search agents, multimodal pre-training, generative models for mathematics, LLMs for code generation and scientific discovery, and reinforcing language agents for reasoning—and (2) AI4Science, including transformer and graph neural network approaches to learning algorithms, machine learning, human-computer interaction, and optimization for scientific discovery.

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BRAINS: A Retrieval-Augmented Agent for Alzheimer's Detection and Monitoring

We present a LLM driven retrieval-augmented agent for Alzheimer’s detection and monitoring.

Intrinsic Linguistic Bias in Formal vs. Informal Bengali Pragmatics with Progressive Context Inflation

We studied observational measures of intrinsic gender bias in formal and informal bengali; the optimal context length influences on bias detection.

B-REASO: A Multi-Level Multi-Faceted Bengali Evaluation Suite for Foundation Models

We introduce a bengali language benchmark for large language models, covering 13,497 multiple-choice questions in 50 different subjects, divided into 4 levels of difficulty.

𝕏olver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

We introduce 𝕏olver—a training-free, multi-agent reasoning framework that equips a black-box LLM with a persistent, evolving memory of holistic experience.