Faculty Member

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Md. Mahedi Hassan

Lecturer, MSc HSTU, BSc HSTU

Lecturer, Department of Computer Science & Engineering

https://orcid.org/0009-0001-2107-926X

Phone

09643204060

Email

Avenue 6 Road & Lake Drive Road, Sector # 17/H,Uttara, Dhaka-1230
h-index
51
Citations
4
h-index
h-index Calculated based on number of publications stored in google scholar

Personal profile

Biography

Md. Mahedi Hassan is currently working as a Lecturer at CSE Department of World University of Bangladesh (WUB). He has completed his MSc in Computer Science and Engineering degree from Hajee Mohammad Danesh Science and Technology University, Dinajpur. Before that, he also completed his BSc (Engineering ) in Computer Science and Engineering degree from the same university. Beside the teaching profession he also has devoted himself in research activities. His focal interest is in Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI), Cybersecurity and Data Science. He has authored several peer-reviewed journals, conferences, and book chapters. Some of his works appear in reputed Scopus indexed journals and conferences. He is also a reviewer at Indonesian Journal of Electrical Engineering and Informatics (IJEEI) which is Scopus indexed Q3 Journal. 

Education/Academic Qualification

Computer Science and Engineering, MSc, Hajee Mohammad Danesh Science and Technology University
2022 → 2023
Award Date: 05 June, 2023
Computer Science and Engineering, BSc, Hajee Mohammad Danesh Science and Technology University
2016 → 2021
Award Date: 16 March, 2021

Research expertise keywords

Machine Learning (ML) Deep Learning (DL) Artificial Intelligence (AI) Cybersecurity Bio-informatics Data Science.
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Research output

3
Article
8
Conference paper
0
Books
4
Books Chapter

2025

An Empirical Analysis on Renewable Energy: Biogas Production Prediction Using Machine Learning
Hassan, M.M., Hossen, A., Sarker, M.N., Arafat, Y., Khan, A., Talukder, S.I. and Roy, B.K.S., 2025. An Empirical Analysis on Renewable Energy: Biogas Production Prediction Using Machine Learning. Journal of Power and Energy Engineering, 13(7), pp.40-59.
Research output : Contribution to journal › Article › peer-review
Analyzing Global Energy Patterns: Clustering Countries and Predicting Trends Toward Achieving Sustainable Development Goals
Hasan, M., Shilpa, N.A., Sohag, A., Hassan, M.M. and Siddikee, M.J.A., 2025. Analyzing Global Energy Patterns: Clustering Countries and Predicting Trends Toward Achieving Sustainable Development Goals. In Machine Learning Technologies on Energy Economics and Finance: Energy and Sustainable Analytics, Volume 1 (pp. 1-23). Cham: Springer Nature Switzerland.
Research output : Contribution to chapter › Article › peer-review
Analyzing Biogas Production in Livestock Farms Using Explainable Machine Learning
Hassan, M.M., Shamim, M., Hasan, M., Hamja, M.A., Fatema, K. and Pritom, S.R., 2025. Analyzing Biogas Production in Livestock Farms Using Explainable Machine Learning. In Machine Learning Technologies on Energy Economics and Finance: Energy and Sustainable Analytics, Volume 1 (pp. 199-225). Cham: Springer Nature Switzerland.
Research output : Contribution to chapter › Article › peer-review
Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model. 
Hasan, M., Rabbi, M.F., Hamja, M.A., Fatema, K. and Hassan, M.M., 2025. Enhancing flood forecasting performance using effective and transparent explainable hybrid deep learning model. Earth Science Informatics, 18(2), p.417.
Research output : Contribution to journal › Article › peer-review
Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance. 
Noor, N.U., Hossain, M.A., Hossain, M., Hasan, M.R., Al Amin, M., Nahar, S., Ullah, A. and Hassan, M.M., 2025. Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance. Open Journal of Medical Imaging, 15(1), pp.1-29.
Research output : Contribution to journal › Article › peer-review
Emotion Recognition and Analysis System (ERAS): Leveraging Advanced AI for real-time Emotion Detection in Social Media Content
Siddika, A., Rayhan, T., Sarkar, M.S. and Hassan, M.M., 2025, February. Emotion Recognition and Analysis System (ERAS): Leveraging Advanced AI for real-time Emotion Detection in Social Media Content. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-8). IEEE.
Research output : Contribution to conference › Article › peer-review
Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water
Hassan, M.M., Noor, N.U., Hossain, M.A., Sarkar, M.S., Siddika, A. and Ghosh, S.K., 2025, February. Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water. In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
Research output : Contribution to conference › Article › peer-review

2024

Improving Loan Approval Decisions: The Impact of Data Balancing on the Classifier’s Performance in Predicting Borrower Reliability
Hassan, M.M., Abrar, M.F., Kakon, S., Hossen, A. and Arafat, Y., 2024, December. Improving Loan Approval Decisions: The Impact of Data Balancing on the Classifier’s Performance in Predicting Borrower Reliability. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1690-1695). IEEE.
Research output : Contribution to conference › Article › peer-review
Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter Tuning
Hassan, M.M., Ullah, A., Chakraborty, A., Sarker, N. and Roy, B.K.S., 2024, December. Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter Tuning. In 2024 27th International Conference on Computer and Information Technology (ICCIT) (pp. 1809-1814). IEEE.
Research output : Contribution to conference › Article › peer-review
Discovering the Depths of Cotton Leaf Disease Detection: Integrating Hypertuned Residual Networks with GradCAM XAI for Enhanced Understanding and Diagnosis
Sarkar, M.S., Lifat, M.A.S., Hasan, R. and Hassan, M.M., 2024, April. Discovering the depths of cotton leaf disease detection: Integrating hypertuned residual networks with GradCAM XAI for enhanced understanding and diagnosis. In 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) (pp. 1-6). IEEE.
Research output : Contribution to conference › Article › peer-review

2023

Leveraging Spatial and Channel Attention in VGG16 for Efficient Tomato Leaf Disease Detection
Faruk, A.M., Al Faraby, H., Abdul, A., Rimi, A. and Hassan, M.M., 2023, December. Leveraging Spatial and Channel Attention in VGG16 for Efficient Tomato Leaf Disease Detection. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.
Research output : Contribution to conference › Article › peer-review
Empirical Analysis of Regression Techniques to Predict the Cybersecurity Salary.
Hasan, M., Hassan, M.M., Faisal-E-Alam, M. and Akter, N., 2023. Empirical Analysis of Regression Techniques to Predict the Cybersecurity Salary. In Cyber Security and Business Intelligence (pp. 65-84). Routledge.
Research output : Contribution to chapter › Article › peer-review
An Explainable AI-Driven Machine Learning Framework for Cybersecurity Anomaly Detection.
Hassan, M.M., Abrar, M.F. and Hasan, M., 2023. An explainable AI-driven machine learning framework for cybersecurity anomaly detection. In Cyber Security and Business Intelligence (pp. 197-219). Routledge.
Research output : Contribution to chapter › Article › peer-review
An Ensemble Machine Learning Approach to Classify Parkinson’s Disease from Voice Signal. 
Mahedi Hassan, M., Fazle Rabbi, M., Hasan, M. and Roy, B., 2023, September. An ensemble machine learning approach to classify parkinson’s disease from voice signal. In International Conference on Big Data, IoT and Machine Learning (pp. 575-590). Singapore: Springer Nature Singapore.
Research output : Contribution to conference › Article › peer-review

2022

The Impact of Data Balancing on the Classifier's Performance in Predicting Cesarean Childbirth.
Hasan, M., Islam, M.M., Sajid, S.W. and Hassan, M.M., 2022, December. The impact of data balancing on the classifier's performance in predicting cesarean childbirth. In 2022 4th International conference on electrical, computer & telecommunication engineering (ICECTE) (pp. 1-4). IEEE.
Research output : Contribution to conference › Article › peer-review
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Supervised Work

2025

Predicting Future User Connections in Social Networks with Machine Learning Techniques
P.M. NIAMUL HASAN, MD. AHSAN HABIB SUMON, ANUP KUMAR DEY, 2025, (Unpublished)
Research output : Thesis › Undergraduate Thesis
Enhancing Vision Language Models Against Adversarial Attacks Using Machine Learning Defences as Detection and Mitigation for Colorectal Pathology
AKHINOOR, JAHID HASAN, RUDRAJIT CHOWDHURY SIKTO, 2025, (Unpublished)
Research output : Thesis › Undergraduate Thesis

2024

Design and Development of a Web Application for Agricultural Value Chain Management and Prevent Food Syndication in Bangladesh
AMENA KHATUN, MD. ROBIN ISLAM, MD. SAHINUR REZA, 2024, (Unpublished)
Research output : Thesis › Undergraduate Thesis
An Explainable AI-Driven Machine Learning Framework for Cybersecurity Anomaly and Phishing Detection
BIKASH KUMAR SAHA ROY, 2024, (Unpublished)
Research output : Thesis › Master's Thesis
Enhancing The Cyber Security Using Ensemble Stacking Model For Phishing Sites Detection With Hyperparameter Tuning
PRANTO ROY JIBON, ANUP CHAKRABORTY, 2024, (Published)
Research output : Thesis › Undergraduate Thesis

2023

Enhancing Drinking Water Quality Assessment: An Exploration of Elemental Composition for Drinkable Water.
BIJOY KRISHNA HOWLADER, MD. NAZMUL HASAN, PINAK CHAKRABARTI, 2023, (Published)
Research output : Thesis › Undergraduate Thesis
An explanatory Machine Learning approach for determining Social media's impact on mental health.
MD. FAHAMID RAHMAN FAYSAL, KAZI MD. RASHEDUR RAHMAN NAYEM, MD. KADIR HOSSAIN, 2023, (Unpublished)
Research output : Thesis › Undergraduate Thesis
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Participations

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Awards

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Membership

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Certifications

2020

Service at the Club Active
Rotaract Club of HSTU, Issued: 2020
Volunteer : Exceptional Contribution

2018

Skill development for mobile game and application project Active
ICT Division, Issued: 2018
Skilled : Game animator

2017

Campus Ambassador at English Olympiad Active
English Olympiad, Issued: 2017
Volunteer : Campus Ambassador
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Research Poster