プロフィール詳細

プロジェクトを作成

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Md. Sabbir A.に依頼

Australia

Data Science, HCI & Responsible AI Researcher | Research & Publication Consultant

プロフィール概要

I am a Senior Lecturer in Computer Science and a researcher in Data Science, HCI, and Responsible AI, with strong expertise in Quantitative Research Methods, Machine Learning, and Research Publication Strategy. I collaborate with postgraduate researchers, academics, and research teams to strengthen methodological design, statistical modelling, analytical rigor, and peer-review readiness. My technical expertise includes Machine Learning and Computer Vision modelling, particularly in applied AI and research-focused contexts. I provide Experimental Design Consulting, Statistical Validation, Model Development, Explainability Analysis, and structured guidance for Thesis Development and Journal Submissions. I have supported interdisciplinary research across Data Science, Education, and Applied AI, helping researchers enhance robustness, clarity, and publication quality. I focus on improving methodological integrity, analytical precision, and research positioning while maintaining strict academic standards. My approach is strategic, collaborative, and tailored to the objectives of each research project.

専門分野

• ★ Machine Learning
• ★ Applied Statistics
• ★ Human-Computer Interactions (HCI)
• ☆ Computer Science
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Social Network Analysis
• ☆ Predictive Modeling & Analytics
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Data Collection
• ☆ Data Manipulation
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Correlation Analysis
• ☆ Statistical Computing
• ☆ Survey Design
• ☆ Study Design
• ☆ Statistical Review
• ☆ Health Data Analysis
• ☆ Python
• ☆ SPSS
• ☆ SQL
• ☆ Excel
• ☆ Java
• ☆ Tensorflow
• ☆ LaTex
• ☆ Scikit-learn

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, Copywriting, General Proofreading & Editing

Research User Research, Meta-Research, Feasibility Study, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML, Data Visualization, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Senior Lecturer

BRAC University

1月 2026 - 現在

Lecturer

BRAC University

1月 2023 - 1月 2026

Contractual Lecturer

BRAC University

6月 2021 - 1月 2023

学歴

Master of Science in Computer Science and Engineering (Department of Computer Science and Engineering)

BRAC University

6月 2021 - 2022

Bachelor of Science in Computer Science and Engineering (Department of Computer Science and Engineering)

BRAC University

1月 2017 - 6月 2021

認定資格

• AWS Academy Educator

  Amazon Web Services (AWS)

  https://www.credly.com/badges/b36b5fe5-288b-4d5c-913c-41cb5ea4544b/linked_in_profile

  8月 2025 - 現在

出版物

BOOK CHAPTER

Md. Sabbir Ahmed, Maisha Haque, Israt Jahan Ayshi, Sadaf M. Anis, Nahian Tasnim, Mithila Moontaha, Muhammad Iqbal Hossain, Mohammad Zavid Parvez, Subrata Chakraborty, Biswajeet Pradhan, et al. (2026). ForCM: Forest Cover Mapping from Multispectral Sentinel-2 Image by Integrating Deep Learning with Object-Based Image Analysis .

CONFERENCE PAPER

Md. Sabbir Ahmed, Ishmam Bin Rofi, Mashiyat Mahjabin Eshita, Avijoy Chakma, S M Taiabul Haque, Jannatun Noor (2025). The Good, The Bad and The Ugly: The Opportunities, Challenges and the Mitigation Strategies of the Young Indigenous Social Media Users of the Chittagong Hill Tracts in Bangladesh .

Md. Sabbir Ahmed, Ishmam Bin Rofi, Mashiyat Mahjabin Eshita, Jannatun Noor (2024). Identifying Influences: A Machine Learning and Explainable AI Approach to Analyzing Social Media Addiction Resulting from Academic Frustration .

Md. Sabbir Ahmed, Khondoker Nazia Iqbal, Md. Golam Rabiul Alam(2023). Interpretable Lung Cancer Detection using Explainable AI Methods . 2023 International Conference for Advancement in Technology (ICONAT). {IEEE}

Ahmed, M.S., Iqbal, K.N., Alam, M.G.R. (2023). Interpretable Lung Cancer Detection using Explainable AI Methods . International Conference for Advancement in Technology (ICONAT).

Md. Sabbir Ahmed, Tonjih Tazalli, Zarin Anan Aunshu, Sumaya Sadbeen Liya, Magfirah Hossain, Zareen Mehjabeen, Muhammad Iqbal Hossain(2022). Computer Vision-Based Bengali Sign Language To Text Generation . 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS). {IEEE}

Md. Sabbir Ahmed(2022). A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models . 2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA). {IEEE}

Dofadar, D.F., Abdullah, H.M., Khan, R.H., Rahman, R., Ahmed, M.S.(2022). A Comparative Analysis of Lumpy Skin Disease Prediction Through Machine Learning Approaches . 4th IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2022.

Joy, S.K.S., Dofadar, D.F., Khan, R.H., Ahmed, M.S., Rahman, R.(2022). A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models . 2022 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2022.

Md. Sabbir Ahmed and Rafeed Rahman and Shahriar Hossain and Shahnewaz Ali Mohammad(2021). Brain Tumor Prediction by analyzing MRI using deep learning architectures . 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). {IEEE}

Ahmed, M.S., Rahman, R., Hossain, S., Mohammad, S.A.(2021). Brain Tumor Prediction by analyzing MRI using deep learning architectures . Proceedings of the 3rd International Conference on Inventive Research in Computing Applications, ICIRCA 2021. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1493-1498.

Ahmed, M.S., Rahman, R., Arefeen, Z.R., Alam, A., Tahreen, M.(2021). Effort To Mitigate Malaria Via Early Detection Using Hybrid Machine Learning Architectures . 31st International Conference on Computer Theory and Applications, ICCTA 2021 - Proceedings. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 155-159.

Shahriar Hossain and Rafeed Rahman and Md.Sabbir Ahmed and Md.Saiful Islam(2020). Pneumonia Detection by Analyzing Xray Images Using MobileNET, ResNET Architecture and Long Short Term Memory . 2020 30th International Conference on Computer Theory and Applications (ICCTA). {IEEE}

Hossain, S., Rahman, R., Ahmed, M.S., Islam, M.S.(2020). Pneumonia Detection by Analyzing Xray Images Using MobileNET, ResNET Architecture and Long Short Term Memory . 30th International Conference on Computer Theory and Applications, ICCTA 2020 - Proceedings. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 60-64.

JOURNAL ARTICLE

Md. Sabbir Ahmed, Md. Tasin Tazwar, Haseen Khan, Swadhin Roy, Junaed Iqbal, Md. Golam Rabiul Alam, Md. Rafiul Hassan, Mohammad Mehedi Hassan, Giacomo Fiumara (2022). Yield Response of Different Rice Ecotypes to Meteorological, Agro‐Chemical, and Soil Physiographic Factors for Interpretable Precision Agriculture Using Extreme Gradient Boosting and Support Vector Regression . Complexity.

Ahmed, M.S., Tazwar, M.T., Khan, H., Roy, S., Iqbal, J., Rabiul Alam, M.G., Hassan, M.R., Hassan, M.M.(2022). Yield Response of Different Rice Ecotypes to Meteorological, Agro-Chemical, and Soil Physiographic Factors for Interpretable Precision Agriculture Using Extreme Gradient Boosting and Support Vector Regression . Complexity. 2022.

Ahmed, Md. Sabbir, Tazalli, Tonjih, Aunshu, Zarin Anan, Liya, Sumaya Sadbeen, Hossain, Magfirah, Mehjabeen, Zareen, Hossain, Muhammad Iqbal (2022). Computer Vision-Based Bengali Sign Language To Text Generation . Ieee International Conference on Image Processing Applications and Systems, Ipas.