Prospective PhD candidate, 2027 Research Intern, XIoT Lab, MMU Digital health Motion detection Generative AI Measurement design
Research Intern at the XIoT Lab, Faculty of Computing and Informatics, Multimedia University, and electrical and electronic engineer with six and a half years in applied engineering, four in a dedicated research role. My work spans digital healthcare, telemedicine, AI-powered motion detection, healthcare device design and generative AI, with one common aim: measuring behaviour as it happens rather than reconstructing it afterwards. Seeking a funded doctoral position starting 2027.
Applied engineering
6.5
years
Four in a dedicated research role
Peer-reviewed output
4
papers
4 published · 1 presented Sept 2026 · 1 in preparation
MSc ICT · CGPA
3.81
/ 4.00
Bangladesh University of Professionals, 2022
Primary data collected
35
interviews
Under institutional ethics approval
Profile
I am a Research Intern at the XIoT Lab, Faculty of Computing and Informatics, Multimedia University, and an electrical and electronic engineer who builds what he studies. My work spans digital healthcare and telemedicine, AI-powered motion detection, healthcare device design and generative AI, held together by one aim: recording behaviour as it happens, not reconstructing it afterwards.
My MSc thesis detected over-speeding and lane changes in naturalistic traffic footage; my BSc thesis scheduled hydroelectric dispatch to cut load shedding in Bangladesh. My 2021 telemedicine study rests on 35 in-depth interviews under ethics approval, and my recent co-authored work applies machine learning to dengue, air quality and model interpretability.
Since 2024 I have also designed and run controlled experiments across five national markets in paid media, with randomisation and outcomes pre-specified before results are read. MSc in ICT, CGPA 3.81 / 4.00. Four peer-reviewed papers, a fifth presented in September 2026, one in preparation.
Doctoral interests
Each interest below grows out of something already in my record: a thesis, a paper, or hands-on work with the systems involved. I am open to a supervisor shaping any of them into a doctoral project.
Does moving to an electric vehicle change how the same person drives, plans trips and takes risks? Instant torque, silent running and range anxiety all suggest it should, but within-driver evidence is thin.
Builds on: MSc thesis: deep-learning detection of speeding and lane changes
Whether the environmental gains promised for electric mobility show up in measured air quality, battery life cycles and material use, rather than only in projections.
Builds on: Machine-learning work on air-quality prediction
What actually drives people to adopt, or reject, electric vehicles: the reasons they state before buying versus the behaviour observed afterwards, and how persuasion systems shape the choice.
Builds on: Controlled experiments across five markets since 2024
How patients and clinicians come to trust remote care, what makes adoption last beyond a crisis, and where AI triage helps or harms the consultation.
Builds on: Interview study of 35 clinicians, patients and platform staff
Forecasting and early-warning systems built on open data, so public-health teams can act before an outbreak rather than after it.
Builds on: Co-authored work on dengue outbreak forecasting
Connected sensing devices that record behaviour and health signals as they happen, designed for the people who will wear or use them.
Builds on: Healthcare device design; Research Intern, XIoT Lab
Making model decisions readable to the people who depend on them, and choosing the right interpretability method for the task.
Builds on: Published comparison of LIME, SHAP and feature importance
The ethical and occupational effects of generative AI on creative and professional work, measured through the people living with it.
Builds on: Survey of creative professionals, presented September 2026
Experimental design and A/B testing · randomisation and pre-specification of outcomes · survey and interview design · thematic analysis · research ethics · supervised machine learning and model benchmarking · explainable AI (LIME, SHAP) · deep learning for computer vision · forecasting · Python.
Publications
ORCID 0009-0009-8360-9690. Author name in bold. Code on GitHub. View the CV or download the PDF.
7th Multimedia University Engineering Conference (MECON2026), Multimedia University, Malaysia, 5–7 May 2026
A predictive framework built on open-source meteorological data to forecast dengue outbreak trends across Malaysia, aimed at early warning and public-health preparedness.
7th Multimedia University Engineering Conference (MECON2026), Multimedia University, Malaysia, 5–7 May 2026. Also presented at the 8th ASEAN–UEC Workshop, September 2026
Benchmarks Random Forest, XGBoost and Support Vector Regression for daily AQI prediction in Dhaka, adding a binary brick-kiln-season feature (November to March) under seasonally stratified evaluation.
8th ASEAN–UEC Workshop on Informatics and Engineering, held with the 13th UEC Seminar in ASEAN, Multimedia University, Cyberjaya, 5–6 September 2026
A survey of creative professionals on the occupational and ethical consequences of generative AI in Malaysia’s digital-art sector. Primary data collected by questionnaire. Presented on 6 September 2026.
International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), 13(3), 2024. DOI 10.17148/IJARCCE.2024.13301
Compares LIME, SHAP and conventional feature importance on a decision-tree classifier, and sets out practical selection criteria for interpretability frameworks. Published as Abdullah-Al Mahmood.
Asian Journal of Multidisciplinary Research & Review (AJMRR), 2(2), 592–621, 2021
Study of how AI-driven telemedicine was implemented and adopted during the pandemic, built on 35 in-depth interviews with clinicians, patients and platform staff under institutional ethics approval. Published as Abdullah-Al Mahmood.
In preparation
Extends the peak-shaving dispatch work of my undergraduate thesis with machine-learning methods.
Bangladesh University of Professionals, Dhaka, 2022
Deep-learning models applied to naturalistic traffic footage to detect over-speeding and lane-change manoeuvres.
Ahsanullah University of Science and Technology, Dhaka, 2012
Dispatch scheduling to flatten demand peaks in a supply-constrained national grid, extended with machine-learning methods in P6.
Achievements
Two journal publications and two conference papers. Hover over a certificate to enlarge it, or click to view it full screen.
Gallery
Moments from conferences and events in Malaysia. Hover over a photo to enlarge it, or click to view it full screen.
Where I have been
Research Intern, XIoT Lab
Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia.
Research Collaborator, environmental and climate-health machine learning
Multimedia University, Malaysia · Miraiyo, Bangladesh · Centre for Electric Energy and High Voltage Engineering. Output: P1 and P2.
MSc in Information and Communication Technology (CGPA 3.81 / 4.00)
Bangladesh University of Professionals, Dhaka. Thesis: deep learning-based automated speed and lane-change detection from naturalistic traffic footage.
Field study, telemedicine adoption
35 in-depth interviews with clinicians, patients and platform staff under institutional ethics approval, published as P5.
Research Engineer
Debonair Electrical & Electronics Ltd., Dhaka. Applied product research and technical evaluation of electrical and electronic systems for international suppliers.
Support Engineer
Ahsan Automation Ltd., Dhaka. Design and implementation of industrial automation systems.
BSc, Electrical and Electronic Engineering (CGPA 3.21 / 4.00)
Ahsanullah University of Science and Technology, Dhaka. Thesis: optimal peak-shaving operation of a hydroelectric power station to reduce load shedding.
Social Media & Content Manager, Paid Media
Black Swan Business Setup Services, UAE (remote). Controlled experiments across five national markets with outcomes and success criteria pre-specified before results are read; end-to-end measurement stack (Google Analytics 4, Tag Manager, server-side Conversions API, Looker Studio); leads a team of creators, editors and SEO specialists.
Technical Writer · Marketing Manager · Assistant Manager
BuddyBoss (Canada) · STUDiLOG (Bangladesh) · Enzaime Bangladesh. Developer documentation and structured pre-release software testing; competitor and market analysis; the Enzaime role provided the field access behind P5.
September 2026. 8th ASEAN–UEC Workshop and 13th UEC Seminar in ASEAN, Multimedia University, Cyberjaya. Presented P3 and P2. May 2026. 7th Multimedia University Engineering Conference (MECON2026), Malaysia; co-author of P1 and P2.
Bengali. Native speaker; a working research capability for fieldwork, interviewing and primary-document access in Bangladesh. English. Full professional proficiency; medium of instruction throughout secondary and higher education. IELTS Academic, overall band 7.0; the certificate lapsed in January 2026, and a retest can be arranged at short notice if a valid score is required. Hindi. Good working proficiency in speech and comprehension; sufficient for interviewing and for South Asian source material. Malay. Basic working familiarity, sufficient for regional source material with reference support.
Contact
If any of the interests above overlaps with your group’s work, I would value a short conversation. I can send a research statement, full texts of any paper listed here, and my transcripts on request.
A Bangladeshi national based in Malaysia on a long-term pass, I am currently a Research Intern at the XIoT Lab, Faculty of Computing and Informatics, Multimedia University, and I am ready to relocate for the right doctoral programme. My work brings together in-depth field interviews with clinicians and patients, deep-learning analysis of real-world driving behaviour, and controlled experimentation across five national markets since 2024.
Email is the quickest way to reach me. I usually reply within one working day.
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