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Curriculum Vitae

Profile

Emran Ali

Education | Research | Development

wwm.emran | emran.ali@research.deakin.edu.au | emran.humachlab.com

Profile Summary

I am a research and development enthusiast in Data Analytics, Machine (Deep) Learning, Generative AI, Explainability, Interpretability and Optimisation. Experienced in applied research in: Health Informatics, Business Analytics, Automation, and Sustainable Environment. Involved in the academic and industrial collaboration researches and projects.

Key Information
12 Years Teaching and research experience
3 Years Software development experience
5 Projects With research contribution
15 Publications Related to research
5 Institutions Involved in academic and research
5 Industrial Involvements in research and software development
4 Collaborations Research with institutes and industries
20 Certificates Specialisations for courses and training
Academic Information
Doctor of Philosophy (PhD) in Computational Science and Mathematical Modelling Jan. 15, 2023 – Present
Coventry University – Coventry, United Kingdom Ongoing
Collaboration: Cotutelle (Joint) Program with Deakin University, Melbourne, Australia
Specialisation: Applied Machine Learning (ML) and Deep Learning (DL) in health informatics and (physiological) signal processing.
Doctor of Philosophy (PhD) in Information Technology Jan. 15, 2023 – Present
Deakin University – Melbourne, Australia Ongoing
Collaboration: Cotutelle (Joint) Program with Coventry University, Coventry, United Kingdom
Specialisation: Applied Machine Learning (ML) and Deep Learning (DL) in health informatics and (physiological) signal processing.
Master of Science (by Research) in Information Technology Feb. 21, 2020 – Oct. 05, 2022
Deakin University – Melbourne, Australia Awarded on: Oct. 06, 2022
Specialisation: Applied Machine Learning (ML) and system optimisation with a focus on (physiological) signal processing and medical diagnostic.
Thesis: Minimising Electroencephalogram Channels for Epileptic Seizure Detection.
Bachelor of Science in Computer Science and Engineering Jan. 05, 2007 – Feb. 19, 2012
Hajee Mohammad Danesh Science and Technology University (HSTU) – Dinajpur, Bangladesh Awarded on: Feb. 19, 2012
Specialisation: Computer programming and Algorithm, Database Management, Machine Learning and Pattern Recognition.
Thesis: J2ME English-to-English Dictionary with Indexed Binary Search.
Professional Experiences
Research Experiences
Deakin University — Melbourne, Australia
Graduate Researcher (PhD Student) Jan. 15, 2023 – Present (2 yrs 11 mos)
About Job: Applied ML in sleep disorder detection using Hypnogram and find causalities using explainable AI.
Research Assistant Oct. 01, 2023 – Dec. 20, 2025 (2 yrs 2 mos)
About Job: Applied GenAI in cardiovascular disorder detection using ECG.
Graduate Researcher (MRes Student) Feb. 21, 2020 – Oct. 05, 2022 (2 yrs 7 mos)
About Job: Applied ML project for EEG channel optimisation for epileptic seizure detection using EEG.
Hajee Mohammad Danesh Science and Technology University (HSTU) — Dinajpur, Bangladesh
Research Supervisor Sep. 01, 2014 – Jan. 10, 2025 (10 yrs 4 mos)
About Job: Academic research conduction and research supervision of undergraduate students.
Training Experiences
Intersect Australia — Sydney, Australia
Digital Research Trainer Mar. 01, 2023 – Present (2 yrs 10 mos)
About Job: Programming and ML training for the research students of diverse institutions and backgrounds.
Teaching Experiences
Deakin University — Melbourne, Australia
Graduate Research Teaching Fellow (GRTF) Feb. 20, 2025 – Present (10 mos)
About Job: Assisting (the teachers) in teaching the graduate and post-graduate students in Machine Learning, Deep Learning and other IT related courses.
Sessional Academic Staff Feb. 21, 2020 – Jun. 30, 2025 (5 yrs 4 mos)
About Job: Assisting (the teachers) in teaching the graduate and post-graduate students in Machine Learning, Deep Learning and other IT related sessional courses.
Hajee Mohammad Danesh Science and Technology University (HSTU) — Dinajpur, Bangladesh
Assistant Professor Sep. 01, 2017 – Present (8 yrs 3 mos)
About Job: Conducting Computer Science and IT related courses and sessionals for the undergraduate students.
Lecturer Sep. 01, 2014 – Aug. 31, 2017 (3 yrs 0 mos)
About Job: Conducting Computer Science and IT related courses and sessionals for the undergraduate students.
Industrial (Software Development) Experiences
Advanced Apps Bangladesh (AAPBD) Ltd. — Dhaka, Bangladesh
Project Development Manager & Senior Software Engineer Jan. 1, 2014 – Aug. 31, 2014 (7 mos)
About Job: Software development and management of the company's apps, projects and clients.
DROID Bangladesh (DROIDBD) Ltd. — Dhaka, Bangladesh
Senior Software Engineer May 1, 2012 – Dec. 31, 2013 (1 yr 8 mos)
About Job: Developing iOS applications for the company's clients.
Kento Studios Ltd. — Dhaka, Bangladesh
Junior Programmer Feb. 01, 2012 – May. 31, 2012 (4 mos)
About Job: Developing and designing iOS applications and games for the company's clients.
Skills and Tools
Programming: Python, Java, Swift, Objective-C, C, C++, C#, SQL, PHP, R
Data Science: Data Collection, Cleaning, Preprocessing, EDA, Analysis, Feature Engineering, Numpy, Pandas, Matplotlib
Machine Learning: Concept and Application, Scikit-learn, Auto-ML
Deep Learning: Concept and Application, Pytorch, Tensorflow, Keras
Generative & Agentic AI: (Gemini & Huggingface): Multi-Agent, Tools & MCP, Session & Memory, Observability, A2A
Health Informatics & Signal Processing: Disorder detection, Epilepsy, Sleep disorders, EEG, Hypnogram
Cloud Platforms: AWS, AWS Sagemaker, MS Azure, Azure ML Designer
Teaching and Training: Demonstration, Communication, Supervision
Management and Leadership: Project Management, Team Lead, Client Management
Soft Skills: Critical Thinking, Problem Solving, Communication, Collaboration
Honors and Awards
Bertelsmann Next Generation Tech Booster Scholarship Jun. 09, 2024
Bertelsmann
Next Generation Tech Booster Scholarship (Phase 1+2) from Bertelsmann for a Udacity Nanodegree program, valued over $1,500.
AWS AI/ML Scholarship (Phase 2) Feb. 23, 2024
Amazon Web Services (AWS)
AWS AI/ML Scholarships (Phase 2) to pursue an Udacity Nanodegree program valued at over $5,000.
AWS AI/ML Scholarship (Phase 1) Jun. 05, 2023
Amazon Web Services (AWS)
AWS AI/ML Scholarships (Phase 1) to pursue an Udacity Nanodegree program valued at over $3,000.
Cotutelle Studentship Jan. 15, 2023
Coventry University
Cotutelle (joint) Studentship as part of the joint doctoral program at Deakin and Coventry University.
DUPR Scholarship Jan. 15, 2023
Deakin University
Fully funded DUPR Scholarship for Joint PhD research at Deakin and Coventry University.
Best Presentation Award Dec. 19, 2021
Deakin University (School of IT)
Annual School Conference - School of IT, Deakin University.
Science and Technology Fellowship (STF) Feb. 21, 2020
STF Trust, Ministry of Science and Technology, Bangladesh
Fully funded fellowship for higher education - STF Trust, Ministry of Science and Technology, Bangladesh.
Best Employee Award Jul. 15, 2014
Advanced Apps Bangladesh (AAPBD) Ltd.
Best employee of year 2014 - Advanced Apps Bangladesh (AAPBD) Ltd., Bangladesh.
Country Topper (Bangladesh) Apr. 23, 2013
South Asian University (SAU)
Post-graduation Entrance Exam - South Asian University (SAU), New Delhi, India.
Undergraduate Department Topper Mar. 02, 2012
HSTU
First Place from the undergrad batch (CSE) - HSTU, Bangladesh.
InUPC Champion Feb. 16, 2009
HSTU
Intra-University Programming Contest (InUPC) Champion - HSTU, Bangladesh.
Courses, Trainings and Certificates
AI Agents Intensive Course with Google (5-Day) Dec. 19, 2025
Kaggle / Google
Hands-on intensive covering agent fundamentals, Model Context Protocol (MCP), and building scalable AI systems.
Generative AI (Nanodegree) Jul. 27, 2025
Udacity (Funded by Bertelsmann)
In-depth program covering Large Language Models (LLMs), RAG, GANs, and Diffusion models using PyTorch.
Building Agents with Copilot Studio Jun. 13, 2025
Akkodis Academy / Microsoft
Specialised training in end-to-end development of AI agents and chatbots using Microsoft’s platform.
Foundation of Generative AI (Nanodegree) Dec. 27, 2024
Udacity (Funded by Bertelsmann)
Hands-on experience with LLMs, Retrieval-Augmented Generation (RAG), and advanced Prompt Engineering.
AWS Machine Learning Fundamentals (Nanodegree) Aug. 21, 2024
Udacity (Funded by AWS)
Building, training, and deploying ML models at scale using Amazon SageMaker.
Microsoft Certified: Azure Data Fundamental (DP900) Apr. 28, 2024
Microsoft (Akkodis Academy Bootcamp)
Validation of foundational knowledge regarding core data concepts and Microsoft Azure data services.
Microsoft Certified: Azure AI Fundamental (AI900) Feb. 21, 2024
Microsoft (Akkodis Academy Bootcamp)
Foundational knowledge of machine learning, AI, and associated Microsoft Azure cloud services.
AI Programming with Python (Nanodegree) Dec. 24, 2023
Udacity (Funded by AWS)
Foundation in Python, NumPy, Pandas, and Matplotlib for neural network development with PyTorch.
Critical-Thinking, Decision-Making, and Problem-Solving Feb. 27, 2023
LinkedIn Learning
Learning path focusing on structured logic, examining biases, and identifying creative solutions.
EMBS - Summer Camp 2022 Oct. 05, 2022
IEEE EMBS
Intensive program exploring research in healthcare, sports, and biomedical engineering.
BCI & Neurotechnology Spring School 2022 May 20, 2022
g·tec
International conference and workshop focused on innovations in Brain-Computer Interface (BCI).
Projects
Graduate Researcher Jan. 01, 2023 – Present (2 yrs 11 mos) | Ongoing
Investigating the relationship between sleep dynamics (Hypnogram) and healthy ageing using interpretable machine learning models.
Research Assistant Mar. 01, 2022 – Feb. 28, 2023 (1 yr 0 mos) | Phase 1 Completed
Prediction of indoor air temperature and quality metrics using meteorological data and deep ensemble machine learning models.
Research Assistant Apr. 01, 2020 – Mar. 31, 2022 (2 yrs 0 mos) | Phase 1 Completed
Channel minimisation and epileptic seizure detection using single channels using Deep Learning from continuous iEEG of ICU patients.
Project Research Associate Jul. 01, 2018 – Jun. 30, 2019 (1 yr 0 mos) | Completed
Designing a 3-layer network security technique in servers for prevention of DDoS attacks.
Project Research Associate Jul. 01, 2018 – Jun. 30, 2019 (1 yr 0 mos) | Completed
Analysis and design of a non-invasive way of measuring and monitoring blood-sodium concentration level using near-infrared spectroscopy.
Organisational Memberships
ACS Associate Member Aug. 01, 2023 – Nov. 30, 2024 (1 yr 4 mos)
Australian Computer Society (ACS)
Professional association for Australia's ICT sector, driving technological excellence and standards.
DUSA Member Jan. 01, 2023 – Dec. 31, 2023 (1 yr 0 mos)
Deakin University Student Association (DUSA)
Student support, advocacy, and service engagement across all Deakin University campuses.
DSEC Member Jan. 01, 2023 – Dec. 31, 2023 (1 yr 0 mos)
Deakin University Software Engineering Club (DSEC)
Participation in coding events, workshops, and technical seminars focused on software development.
DAIS Member Jan. 01, 2023 – Dec. 31, 2023 (1 yr 0 mos)
Deakin AI Society (DAIS)
Involved in activities promoting the understanding and application of AI and Machine Learning.
IEEE Student Member Jul. 01, 2022 – Dec. 31, 2023 (1 yr 6 mos)
Institute of Electrical and Electronics Engineers (IEEE)
World's largest technical professional organization dedicated to advancing technology for humanity.
EMBS Student Member Jul. 01, 2022 – Dec. 31, 2023 (1 yr 6 mos)
IEEE Engineering in Medicine and Biology Society (EMBS)
Focusing on advancing the application of engineering and technology to biology, medicine, and healthcare.
IEEE Young Professionals Jul. 01, 2022 – Dec. 31, 2023 (1 yr 6 mos)
Institute of Electrical and Electronics Engineers (IEEE)
Affinity group dedicated to helping engineers and scientists transition into successful professional careers.
Advisor and Founding Member Sep. 01, 2014 – Present (11 yrs 4 mos)
Programmers Arena - HSTU
Supporting competitive programming and software development skills among university students.
Advisor Sep. 01, 2014 – Present (11 yrs 4 mos)
CSE Club - HSTU
Guiding students in academic and co-curricular activities, technical workshops, and events.
Sessions and Events
Seminar Speaker Sep. 12, 2022 | Seminar Session
CSE Club, Hajee Mohammad Danesh Science and Technology University (HSTU)
Presented a talk at a seminar on "Higher Studies in Abroad - Journey to Australia and Research Experiences".
Keynote Speaker Apr. 06, 2015 | Seminar/Keynote Session
AFCSE, Hajee Mohammad Danesh Science and Technology University (HSTU)
Delivered a keynote at a seminar on career development and the future of mobile app development in Bangladesh.
Languages
Bengali Native | Excellent Level
Native language. Excellent proficiency in Listening, Reading, Writing, and Speaking (LRWS).
English Professional | IELTS (2019): 6.5
Medium of instruction at HSTU and Deakin University. Proficiency scores: L: 6.0, R: 6.5, W: 6.5, S: 7.0.
Spanish Beginner | Self-learner
Foundational vocabulary and expressions. Beginner-level proficiency across Listening, Reading, Writing, and Speaking.
Portfolios
DIHC_Downloader
@WWM-EMRAN/DIHC_Downloader
A fully Python-based utility library designed to recursively download contents from web directories, including all subdirectories and files.
DIHC_FeatureManager
@WWM-EMRAN/DIHC_FeatureManager
A Python and Matlab-based library developed for advanced feature extraction and feature engineering tasks specifically for Machine Learning applications.
AWS_Udacity_AIML_Scholarship_Program
@WWM-EMRAN/AWS_Udacity_AIML_Scholarship_Program
A comprehensive Python repository containing six end-to-end Machine Learning and Deep Learning projects completed during the AWS AI/ML Scholarship.
Volunteering Services
Section Leader - Code in Place (CIP) Apr. 01, 2023 – Jun. 30, 2024 (1 yr 3 mos) | Completed
Stanford Online, Stanford University
Facilitated student learning in Python through Stanford's global volunteer-driven Code in Place program.
Scientific Journal Reviewer Aug. 01, 2023 – Present (2 yrs 5 mos) | Ongoing
European Alliance of Medical and Biological Engineering and Science (EAMBES)
Actively involved in the peer-review of scientific manuscripts for journals affiliated with the EAMBES.
Publications
Journal Articles (8)
Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives 2024 | Journal
Ali E, Angelova M, Karmakar C. Epileptic seizure detection using CHB-MIT dataset: the overlooked perspectives. Royal Society Open Science. 2024 May 29;11(6):230601.
DOI/Link: 10.1098/rsos.230601
Sensor-based indoor air temperature prediction using deep ensemble ML 2023 | Journal
Yu W, Nakisa B, Ali E, Loke SW, Stevanovic S, Guo Y. Sensor-based indoor air temperature prediction using deep ensemble machine learning. Urban Climate. 2023 Sep 1;51:101599.
DOI/Link: 10.1016/j.uclim.2023.101599
A LSB Based Image Steganography Using Random Pixel and Bit Selection 2021 | Journal
Ali UA, Ali E, Sohrawordi M, Sultan MN. A LSB Based Image Steganography Using Random Pixel and Bit Selection. International Journal of Mathematical Sciences and Computing (IJMSC). 2021 Aug 8;7(3):24-31.
DOI/Link: 10.5815/ijmsc.2021.03.03
Enhancement of single-handed Bengali sign language recognition 2020 | Journal
Tabassum T, Mahmud I, Uddin MD, Ali E, Afjal MI, Nitu AM. Enhancement of single-handed Bengali sign language recognition. Journal of Theoretical and Applied Information Technology. 2020 Mar 15;98(05):743-756.
DOI/Link: http://www.jatit.org/volumes/Vol98No5/2Vol98No5.pdf
Mapping Character Position Based Cryptographic algorithm 2020 | Journal
Moon M, Tanim AT, Shoykot MZ, Sultan MN, Ali UM, Ali E. Mapping Character Position Based Cryptographic algorithm. International Journal of Computer Science and Software Engineering (IJCSSE). 2020 Mar 1;9(3):56-59.
DOI/Link: https://ijcsse.org/published/volume9/issue3/p1-V9I3.pdf
Pseudo random ternary sequence and its autocorrelation property 2017 | Journal
Ali MA, Ali E, Habib MA, Nadim M, Kusaka T, Nogami Y. Pseudo random ternary sequence and its autocorrelation property. International Journal of Computer Network and Information Security (IJCNIS). 2017 Sep 1;11(9):54.
DOI/Link: 10.5815/ijcnis.2017.09.07
Smart Campus Using IoT with Bangladesh Perspective 2017 | Journal
Sultan MN, Ali E, Ali MA, Nadim M, Habib MA. Smart Campus Using IoT with Bangladesh Perspective. International Journal of Research in Applied Science and Engineering Technologies (IJASET). 2017 Aug;8:1681-1690.
DOI/Link: 10.22214/IJRASET.2017.8239
Study of Abstractive Text Summarization Techniques 2017 | Journal
Yeasmin S, Tumpa PB, Nitu AM, Uddin MP, Ali E, Afjal MI. Study of Abstractive Text Summarization Techniques. American Journal of Engineering Research (AJER). 2017;6(8):253-260.
DOI/Link: https://www.ajer.org/papers/v6(08)/ZE0608253260.pdf
Conference Papers (5)
Efficient Feature Optimization Approach for Detection of MDD 2023 | Conference
Bhuyain AR, Ferdouse J, Babar MU, Sohrawordi M, Islam MR, Ali E. An Efficient Feature Optimisation Approach with Machine Learning for Detection of Major Depressive Disorder Using EEG Signal. In: 2023 26th International Conference on Computer and Information Technology (ICCIT). IEEE; 2023. p. 1-6.
DOI/Link: 10.1109/ICCIT60459.2023.10441051
Optimal Feature Identification and MDD Prediction 2023 | Conference
Babar MU, Bhuyain AR, Ferdouse J, Sohrawordi M, Ali E. Optimal Feature Identification and Major Depressive Disorder Prediction through Correlation-Based Machine Learning Approach. In: 2023 6th International Conference on Electrical Information and Communication Technology (EICT). IEEE; 2023. p. 1-6.
DOI/Link: 10.1109/EICT61409.2023.10427585
Performance Analysis of Entropy Methods in Detecting Epileptic Seizure 2021 | Conference
Ali E, Udhayakumar RK, Angelova M, Karmakar C. Performance analysis of entropy methods in detecting epileptic seizure from surface Electroencephalograms. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE; 2021. p. 3852-3855.
DOI/Link: 10.1109/EMBC46164.2021.9629538
Noise Reduction and HOG Feature Extraction for SLR 2018 | Conference
Mahmud I, Tabassum T, Uddin MP, Ali E, Nitu AM, Afjal MI. Efficient noise reduction and HOG Feature Extraction for Sign Language Recognition. In: 2018 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE). IEEE; 2018. p. 1-4.
DOI/Link: 10.1109/ICAEEE.2018.8642983
Indexed Binary Search based efficient search generator 2014 | Conference
Uddin MP, Ali E, Marjan MA, Al Mamun MA. Indexed Binary Search based efficient search generator for J2ME English to English dictionary. In: 2014 International Conference on Informatics, Electronics & Vision (ICIEV). IEEE; 2014. p. 1-6.
DOI/Link: 10.1109/ICIEV.2014.6850692
Poster Presentations (1)
Deep Learning Model for Detection of Seizures in ICU patients 2021 | Poster
Habib A, Pham C, Udhayakumar R, Ali E, Thom D, Laing J, Karmakar C, Kwan P, O'Brien T. Deep Learning Model for Detection of Electrographic Seizures from continuous EEG in ICU patients. American Epilepsy Society (AES) Annual Conference; 2021 Dec 3-7; Phoenix, AZ.
DOI/Link: https://cms.aesnet.org/abstractslisting/deep-learning-model-for-detection-of-electrographic-seizures-from-continuous-eeg-in-icu-patients
Contact Details

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Generated: 31 December 2025 Emran Ali