Doctor of Philosophy (PhD) — Computational Science and Mathematical Modelling (CSM)

University: Coventry University
Location: Coventry, United Kingdom
Period: Jan 2023 – Present | Full-time | 3.5-year program (maximum 4 years) | Ongoing
Specialisation: Applied Machine Learning (ML) and Deep Learning (DL) in health informatics and (physiological) signal processing.
Research Topic: A Machine Learning-based Analysis of Sleep Patterns in Healthy Ageing using Physiological Signals.
Activities: Research · Development · Industry collaboration
Description: This Cotutelle (joint) PhD program is jointly administered by Deakin University (host institution) and Coventry University (partner institution). All key milestones, including candidature confirmation, annual progress reviews, and final thesis defense, are conducted independently by both institutions. The project is guided by a strong supervisory team of more than four specialists (2 from each institutions) from Deakin University and Coventry University. This project is about finding relationship between sleep pattern and different health status (healthy or have sleep disorders) using a simpler physiological signal called Hypnogram for assistive diagnostic. Starting from traditional ML and ensemble ML to advanced models such as traditional DL, CNN, RNN, graph neural networks (GNN), are applied to analyse the feasibility of a wearable sleep monitoring system. The research is carried out under the Centre for Computational Science and Mathematical Modelling (CSM).

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Doctor of Philosophy (PhD) — Information Technology (IT)

University: Deakin University
Location: Melbourne, Australia
Period: Jan 2023 – Present | Full-time | 3-year program (maximum 4 years) | Ongoing
Specialisation: Applied Machine Learning (ML) and Deep Learning (DL) in health informatics and (physiological) signal processing.
Research Topic: A Machine Learning-based Analysis of Sleep Patterns in Healthy Ageing using Physiological Signals.
Activities: Research · Development · Industry collaboration · Student engagement via: Australian Computer Society (ACS) · Deakin University Student Association (DUSA) · Deakin Biomed Society (DUBS) · Deakin Software Engineering Club (DSEC) · Deakin AI Society (DAIS)
Description: This is a Cotutelle (joint) PhD program hosted by Deakin University (host institution), Australia, in collaboration with Coventry University (partner institution), United Kingdom. It is a full-time, research-based program spanning 3 years (maximum completion duration: 4 years), with a focus on, applied ML and DL with biomedical signal processing in detecting sleep disorders. All key milestones, including candidature confirmation, annual progress reviews, and final thesis defense, are conducted independently by both institutions. This project is about finding relationship between sleep pattern and different health status (healthy or have sleep disorders) using a simpler physiological signal called Hypnogram for assistive diagnostic. Starting from traditional ML and ensemble ML to advanced models such as traditional DL, CNN, RNN, graph neural networks (GNN), are applied to analyse the feasibility of a wearable sleep monitoring system. At Deakin, the program is conducted under the School of Information Technology (SIT), Faculty of Science, Engineering and Built Environment (SEBE), and the research is based at the Data Analytics and Research Lab (DARL).

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Master of Science (by Research) – MRes — Information Technology (IT)

University: Deakin University
Location: Melbourne, Australia
Period: Feb. 2020 – Feb. 2022 | Full-time | 2 years (maximum 3 years) | Awarded in Oct. 2022
Specialisation: Applied Machine Learning (ML) and system optimisation with a focus on (pythological) signal processing and medical diagnostic
Research Topic: Minimising Scalp Electroencephalogram (EEG) Channels for Epileptic Seizure Detection
Thesis: Minimising Electroencephalogram Channels for Epileptic Seizure Detection (over 50,000 words.)
Activities: Research · Development · Industry collaboration · Student engagement through Deakin University Student Association (DUSA)
Description: This is a full-time, research-only program delivered under the School of Information Technology (SIT), within the Faculty of Science, Engineering, and Built Environment (SEBE). The research is conducted under the Data to Intelligence (D2I) Research Centre, focusing on biomedical engineering, signal processing, and Machine Learning (ML). The project focused on various aspects epileptic seizure detectino using EEG signal, especiall, EEG channel minimisation.

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Bachelor of Science (B.Sc.) — Computer Science and Engineering (CSE)

University: Hajee Mohammad Danesh Science and Technology University (HSTU)
Location: Dinajpur, Bangladesh
Period: Jan. 2007 – Dec. 2010 | Full-time | 4-year | Awarded in Apr. 2012
Specialisation: Computer programming and Algorithm, Database Management, Machine Learning and Pattern Recognition
Research Topic: Advanced string search algorithms using indexed binary search for a J2ME-based English-to-English dictionary application.
Thesis: J2ME English-to-English Dictionary with Indexed Binary Search (approximately 9,500 words)
Activities: Academic coursework · Research · Software/Application development · Competitive programming · Active member of the programming community — Programmers Arena
Description: This is a full-time undergraduate program offered by the Department of Computer Science and Engineering (CSE), under the Faculty of Computer Science and Engineering. The curriculum spans a broad range of computer science and engineering topics including: mathematics, physics, statistics, computer programming (C, C++, Java, PHP, etc.), database systems, artificial intelligence, machine learning, software engineering, system architecture, and microprocessor systems. A mandatory final-year thesis/project is required for program completion.

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