Dr. Md. Saef Ullah Miah

About Me

Hello, I am Mohammad Saef Ullah Miah. I am an Associate Professor at the department of Computer Science, AIUB. I have obtained my PhD from Universiti Malaysia Pahang Al-Sultan Abdullah, and have completed my Master's and Bachelor's degree from AIUB. I have hands-on experience in Software Development, Machine Learning, Deep Learning, Natural Language Processing, Data Science, Blockchain and project management. Prior to that, I completed my Higher Secondary education from Rajuk Uttara Model College and Secondary schooling from Ideal School and College.

Apart from my routine work, I enjoy managing open source projects and exploring new technological advancements and gadgets. My research interests lie in various areas including Machine Learning, Natural Language Processing, Data and Text Mining, Knowledge Management, Material Informatics, and Blockchain based decentralized applications. I am passionate about applying these technologies to solve real-world problems and contribute to the development of innovative solutions.

Journal Publications

A customized ensemble machine learning approach: predicting students' exam performance

Cogent Engineering, Date of Publication: 26 April 2025. Electronic ISSN: 23311916, Volume 12, 2025 - Issue 1

DOI Paper

REDf: a deep learning model for short-term load forecasting to facilitate renewable integration and attaining the SDGs 7, 9, and 13

PeerJ Computer Science, Date of Publication: 23 April 2025. Electronic ISSN: 23765992

DOI Paper

Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques

IEEE Access, Date of Publication: 17 March 2025. Electronic ISSN: 2169-3536

DOI Paper

A Comprehensive dental dataset of six classes for deep learning based object detection study

Data in Brief, Available online 21 September 2024, 110970

DOI Paper

A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction

Healthcare Analytics, Available online 14 September 2024, 100362

DOI Paper

Explainable deep learning for diabetes diagnosis with DeepNetX2

Biomedical Signal Processing and Control, Volume 99, January 2025, 106902

DOI Paper

A Medical Cyber-Physical System utilizing the Bayes algorithm for post-diagnosis patient supervision

AIUB Journal of Science and Engineering (AJSE), vol. 23, no. 2, pp. 84 - 91, Aug. 2024. ISSN: 1608 – 3679 (print) 2520 – 4890 (Online)

DOI Paper

A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM

Scientific Reports, volume 14, Article number: 9603 (2024)

DOI Paper

Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing

Sustainable Computing: Informatics and Systems, 30 November 2023, 100942

DOI Paper

Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm

Journal of Advanced Research in Applied Sciences and Engineering Technology, 34(1), 38–50

DOI Paper

An automated materials and processes identification tool for material informatics using deep learning approach

Heliyon, Volume 9, Issue 9, September 2023, e20003

DOI Paper

Aspect-based Sentiment Analysis Model for Evaluating Teachers' Performance from Students' Feedback

AIUB Journal of Science and Engineering (AJSE), vol. 22, no. 3, pp. 287 - 294, Dec. 2023., ISSN: 1608-3679 (print) 2520–4890 (Online)

DOI Paper

A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance

AIUB Journal of Science and Engineering (AJSE), Vol 22 No 2 (2020), pp.200-213, ISSN: 1608-3679 (print) 2520–4890 (Online)

DOI Paper

Yus - A Deep Learning Algorithm for Collision Avoidance through Object and Vehicle Detection

Journal of Advanced Research in Applied Sciences and Engineering Technology, 31(1), 226–236

DOI Paper

Distributed Ledger Technology Based Integrated Healthcare Solution for Bangladesh

IEEE Access, Volume 11, 2023

DOI Paper

4D: A Real-Time Driver Drowsiness Detector Using Deep Learning

Electronics 2023, 12(1), 235

DOI Paper

ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy

MethodsX, Volume 10, 2023, 101936

DOI Paper

ReSTiNet: On Improving the Performance of Tiny-YOLO-Based CNN Architecture for Applications in Human Detection

MDPI Applied Sciences 2022, 12(18), 9331

DOI Paper

Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding

PeerJ Computer Science 8:e1024

DOI Paper

A machine learning approach for Bengali handwritten vowel character recognition

IAES International Journal of Artificial Intelligence (IJ-AI), Vol 11, No 3

DOI Paper

Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study

PeerJ Computer Science 8:e898

DOI Paper

Predicting Young Imposter Syndrome Using Ensemble Learning

Complexity, Volume 2022, Article ID 8306473, 10 pages, 2022

DOI Paper

Sentence Boundary Extraction from Scientific Literature of Electric Double Layer Capacitor Domain: Tools and Techniques

MDPI Applied Sciences 2022, 12(3), 1352

DOI Paper

Recommending Research Articles: A Multi-Level Chronological Learning-Based Approach using Unsupervised Keyphrase Extraction and Lexical Similarity Calculation

IEEE Access, 2021

DOI Paper

Study of Keyword Extraction Techniques for Electric Double-Layer Capacitor Domain Using Text Similarity Indexes: An Experimental Analysis

Complexity, Volume 2021, Article ID 8192320, 12 pages, 2021

DOI Paper

IoT (Internet of Things) - Based Smart Garbage Management System: A Proposal for major Cities of Bangladesh

AIUB Journal of Science and Engineering (AJSE), Vol 19 No 1 (2020), pp.33-40, ISSN: 1608-3679 (print) 2520–4890 (Online)

DOI Paper