MrEmran Ali

Mr. Emran Ali is a current graduate researcher (Ph.D.) at the School of Information Technology (IT), Deakin University, Australia. He achieved a Master of Science (by Research) in IT from Deakin University, Australia, in 2022. He obtained his Bachelor of Science (B.Sc.) degree (4-year) in Computer Science and Engineering (CSE) from Hajee Mohammad Danesh Science and Technology University (HSTU), Bangladesh. 

His main areas of research include algorithm development, data analytics, time-series data analysis, applied machine learning (ML) and deep learning (DL) in health informatics, biosignal processing, explanable ML, and optimisation. His current Ph.D. project involves the use of data-driven ML/DL models to find relationships between sleep and sleep stage transitions in healthy ageing with causality. Additionally, it includes sleep disorder detection with ML. The processes consist of various biosignal processing and analysis, applied ML/DL, and explainability. His research in Masters includes epileptic seizure detection, electroencephalography (EEG) channel optimisation, and the application of ML in EEG signal analysis. He worked on a couple of projects on applied ML and data analytics in collaboration with Monash University, Alfred Health, and AETMOS Australia.

As part of his achievements, he has been awarded various awards and recognitions. He has been awarded the Deakin University Post-graduate Research Scholarship (DUPRS) as part of the Cotutelle (join) Ph.D. programme with Coventry University, UK. Earlier, he had been awarded a national fellowship in 2020 from the Ministry of Science and Technology, the People’s Republic of Bangladesh, to complete his research-based Masters degree at Deakin University, Australia. He had been awarded the "Best Presentation Award" in the annual school conference arranged by the School of IT in 2021 as part of his progress in his Masters study. He was the country's top performer in an entrance examination in 2013 for the Masters programme at South Asian University (SAU), which is a university funded by 8 South Asian countries. He was also the department topper in bachelor studies at HSTU. He is the recipient of the AWS AI/ML scholarship for 2023 & 2024 and the Next Generation Tech Booster Scholarship 2024 Techbooster scholarship to learn and accelerate the cloud-based AI/ML & GenAI technologies that include multiple nanodegrees offered by Udacity. 

As additional professional experience, he has been working in academia for over 10 years. He is a faculty member at HSTU, Bangladesh, where he teaches a variety of major courses in computer science and engineering, as well as take part in research projects and research supervision.
He also has industrial experience in IT. Before his academic journey, he worked in the software development industry in Bangladesh for nearly 3 years, developing many iOS apps independently as well as in a group. During that time, he was promoted to senior software engineer and software development manager. He also received the Best Employee Award for the recognition of his devotion and hard work. He achieved good management, leadership, and communication skills in his respective areas.