MrEmran Ali

Graduate Researcher Teaching Fellow

Faculty of Business and Law/Deakin Business School

  • Graduate Researcher Teaching Fellow
    Faculty of Business and Law/Deakin Business School
  • Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125

BIO

Mr. Emran Ali is a Graduate Researcher Teaching Fellow (previously, Sessional Academic Staff - Casual Tutoring) at Deakin University, Australia. He is also a current Ph.D. researcher 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 and find 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 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 and 2024 to learn and accelerate the cloud based AI/ML technologies that include multiple nanodegrees offered by Udacity.

As additional professional experience, he has been working in academia for over 8 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 taking part in research projects and research supervision. He is also involved as Sessional Academic Staff (Casual Tutoring) at Deakin University for different trimesters teaching Machine Learning and Data Analytics units.
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, I was promoted to senior software engineer and software development manager. I also received the Best Employee Award for the recognition of his devotion and hard work. He has good management, leadership, and communication skills in his respective areas.

DEAKIN UNIVERSITY CURRENT APPOINTMENT

  • Graduate Researcher Teaching Fellow
    Deakin University, Information Systems and Business Analytics Discipline Group

ACADEMIC POSITIONS

  • Casual Sessional Academic
    Deakin University, School of Information Technology, Australia10 Jul 2020 - present
  • Graduate Researcher (Ph.D.)
    Deakin University, Faculty of Science Engineering and Built Environment/School of Information Technology, Australia16 Jan 2023 - present
  • Casual Research Assistant
    Deakin University, Australia1 Jun 2020 - 31 Dec 2023
  • Graduate Researcher (MS Research)
    Deakin University, Faculty of Science Engineering and Built Environment/School of Information Technology, Australia21 Feb 2020 - 6 Oct 2022
  • Faculty Member - (On leave)
    Hajee Mohammad Danesh Science and Technology University (HSTU), Computer Science and Engineering, Dinajpur, Bangladesh1 Sep 2014 - present

NON-ACADEMIC POSITIONS

  • Senior Software Engineer and Software Development Manager
    Advanced Apps Bangladesh Limited (AAPBD), iOS, Dhaka, Bangladesh12 Feb 2012 - 31 Aug 2014

DEGREES

  • Doctor of Philosophy (Ph.D.) - (Ongoing), Machine Learning
    Coventry University, Coventry, United Kingdom16 Jan 2023 - present
  • Doctor of Philosophy (Ph.D.) - (Ongoing), Information Technology
    Deakin University, Burwood, Australia16 Jan 2023 - present
  • Master of Science (Research), Information Technology
    Deakin University, Burwood, Australia21 Feb 2020 - 6 Oct 2022
  • Bachelor of Science (B.Sc), Computer Science and Engineering
    Hajee Mohammad Danesh Science & Technology University, Dinajpur, Bangladesh1 Jan 2007 - 12 Feb 2012

CERTIFICATIONS

  • Microsoft Certified: Azure Data Fundamentals
    Microsoft25 Apr 2024 - present
  • Microsoft Certified: Azure AI Fundamentals
    Microsoft22 Feb 2024 - present
  • AI Programming with Python
    Udacity30 Dec 2023 - present
    Nanodegree Program (5 months long) funded by AWS as part of AWS AI/ML Scholarship 1 - 2023. Completed 2 computer vision projects using Deep Learning on AWS cloud platform.
  • AWS Machine Learning Fundamentals
    Udacity Inc, United States21 Aug 2024 - present
    Nanodegree Program (5 months long) funded by AWS as part of AWS AI/ML Scholarship 2 - 2024. Completed 4 deep learning and computer vision projects using Deep Learning on AWS cloud platform.
  • Generative AI
    Udacity Inc, United States27 Jul 2025 - present
    Nanodegree Program (5 months long) funded by Bertelsmann as part of Bertelsmann Next Generation Tech Booster Scholarship 1+2 - 2024. Completed 1 deep learning and generative projects using Deep Learning and hugging face.

LANGUAGES

  • English
    Can read, write, speak and understand
  • Bengali
    Can read, write, speak, understand and peer review

AREA/FACULTY

  • Faculty of Business and Law

DEPARTMENT/SCHOOL/INSTITUTE/DISCIPLINE

  • Information Systems and Business Analytics Discipline Group
  • Deakin Business School