Metropolitan University

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Md. Mahfujul Hasan

Md. Mahfujul Hasan
Faculty Member

Md. Mahfujul Hasan

Associate Professor Head, Dept. of CSE

Dynamic academic leader and researcher with over 16 years of experience in teaching, research, and administration in Computer Science and Engineering. Currently leading the Department of Computer Science and Engineering at Metropolitan University, with a strong focus on advancing knowledge in Machine Learning, Deep Learning, Natural Language Processing, Data Science, and Artificial Intelligence. Proven track record of authoring numerous publications in prestigious IEEE and Scopus-indexed journals, along with extensive experience in supervising research projects and theses. Recognized for creating engaging learning environments and fostering collaboration among colleagues while driving curriculum development and student mentorship to achieve institutional objectives.

  • M.Sc. in Communication Engineering
    United International University (UIU) Bangladesh
  • B.Sc. in Computer Science & Engineering
    International Islamic University Chittagong (IIUC), Bangladesh

Academic Research, Presentation and Publications

1. "Dense Stack Meta Ensemble Classifier (DSMEC): An Advanced Stacking Ensemble Approach for Early Cardiovascular Disease Prediction with Robust Feature Engineering" has been published in IEEE ACCESS, WoS, Q1. Impact factor 3.6. [2025] Article link: https://ieeexplore.ieee.org/document/11123845


2. “CricBakko: A New Bangla Dataset on Bangladesh Cricket for Sentiment Analysis;” International Conference on Nex-Generation Computing, IoT and machine Learning (NCIM 2025). [https://ieeexplore.ieee.org/document/11160196, 17 September 2025]


3. “Grid Search Based Hyperparameter-Tuned Deep Learning Model for Osteoporosis Diagnosis with Bi-Cubic Interpolation of X-Ray Images” Human-Centric Intelligent Systems (2025) 5:196–208 https://doi.org/10.1007/s44230-025-00102-9 ; 1 June 2025.


4. Novel Ensemble Model Utilizing Artificial Neural Networks and Boosting Regressors for Estimation of PM2.5 Concentrations.[2024 6th International Conference on Sustainable Technologies for Industry 5.0 (STI)]


5. Automated Wound Segmentation using Attention Mechanism based on Enhanced MobileNetV2. [2024 IEEE 3rd International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON)]


6. Deep Learning based IoT Device Categorization Using Network Traffic Analysis. [3rd International Conference on Computing Advancements(ICCA 2024)]


7. “A Transfer Learning Approach for Facial Emotion Recognition Using a Deep Learning Model”. [Journal: International Journal of Research and Scientific Innovation, Publication Date: April 2024, Volume: XI (Issue IV), On Page(s): 274-284, Digital Object Identifier: https://doi.org/10.51244/IJRSI.2024.1104022]


8. ”Effects of Backscattering and atmospheric scintillation on OFDM Based Optical Wireless Communication.” International Journal on Communications (IJC), Volume 3 Issue 1, March 2014.


9. “Performance Analysis of an OFDM Based Optical Wireless Communication Impaired by Backscattering” International Journal on Communications (IJC), Volume 2, Issue 3, September 2013.


10. ”Performance Limitations of a Wireless Optical Link Impaired by Backscattering and Atmospheric Scintillation"-International Journal of Research and Reviews in Computing Engineering (IJRRCE), Vol- 1, No-1 (2011).


11. “Performance analysis of an Optical Wireless Link with concern for Backscattered with And Without scintillation and Crosstalk and minimizing the related bit error rate (BER)”. I successfully presented this thesis for the completing of two years M.Sc. degree in United International University at October 2007 under the supervision of Prof. Dr. Satya Prasad Majumder, Professor, Department of Electrical and Electronic Engineering, Bangladesh University of Engineering & Technology (BUET), Formal Coordinator, Department of Electrical and Electronic Engineering, United International University (UIU).


12. “Edge coloring of a bipartite multi-graph in O (DV)”, I successfully presented this thesis for The Completing of four years B.Sc. graduation degree in IIUC at July 2004.

Ongoing Research
1. Title: “A Survey on Predicting Depression of the Teachers and Students at Metropolitan University (Sylhet, Bangladesh) Using Machine Learning”. 2. Title: “CricBakko: A New Bangla Dataset on Bangladesh Cricket”. 3. Title: “Comparative Analysis Of Banglish to Bengali Machine Language Back Transliteration”. 4. Title: “Teaching-Learning Evaluation System of MU”. 5. Title: “Detection of Bengali toxic comments on social media using traditional machine learning, neural network and transformer model”. 6. Title: “Hate Speech Detection in Bangla Language”. 7. Title: “Teaching-Learning Evaluation System of MU”. 8. Title: “Sentiment Analysis for Low Resource Language (Sylheti)”.
Project Under Supervision
Themes Haven, Boi Poka, Property Rental system, Library Management System, Online Exam System, Musica, Vehicle Rental System, Easy Ambulance, Point Of Sales (POS), E-commerce Word press Theme, Innovative Learning, University Teacher & Student Communication center (UTSC), Quick Diagnostic Center, Online Flower Shop, Racing BD, E-Pet and Animal Care, Online Library Management System, Online Gaming System, Event Management System, Online Becha Kena.
Technical Skills

BASIC KNOWLEDGE ON PROGRAMMING LANGUAGES, DATABASES, AND OPERATING SYSTEMS

  • PASCAL, C, C++, JAVA, Visual Basic, PHP, JavaScript, VBScript, ASP, HTML, CSS3, DHTML, XML
  • Oracle (SQL/PLSQL and Developer), MySQL, Developing and Maintaining Oracle Databases
  • Visual Studio, Flash 7, Adobe Photoshop 7
  • Linux (Redhat, Fedora) and Windows
  • Planning system development life cycle
  • Planning and designing DFD (Data Flow Diagram) & ER (Entity Relationship) diagrams for systems
  • Bootstrap 3, YII-2, Laravel-2, Simphony-2 etc.


NETWORKING BASICS

  • OSI Layers, TCP/IP, Ethernet Basics, Wireless Basics
  • Routing, Switching, IP addressing and basic routing
  • Diagnostics, Domain Name, System, Email routing and administration
  • FTP Server, HTTP, HTTPS, FTP, POP3, SMTP, IMAP
  • ARP, RARP, SSH, Telnet, SNMP
  • Apache, Sendmail, Qmail, SpamAssassin, Mailman
  • BIND 4.x/8.x/9.x, Dynamic DNS, Squid
  • IPtables, Ipchains, TCP, Port scanners, SSL, SSH, Zone alarm
  • Web Hosting, Dedicated Hosting, Virtual Hosting, Hosting Control Panel
  • Samba, MRTG, Webmin, Quata, Video LAN Server, Load Balancing, Mirroring, NAT
Other Activities
  • President CSE Society, Department of CSE, Metropolitan University 

  • Working as a member, LDF (Leadership development Forum) 

  • Working as a Head, Routine Committee (Department of CSE) 

  • Secretary Member, Programming Contest and Gaming contest. 

Industrial Training/Workshop Undertaken
Organization: PHP Group of Industry Ltd, 1078, Ramjoy Mohajan Lane, Asadgonj,Chittagong, Bangladesh. Period: From 10th April 2004 to 2nd May 2004. Responsibilities: Server Configuration with Red Hat Linux (DNS server, DHCP server, TELNET server, FTP server, MAILServer, APACHE web server, Samba server etc.). Design and Implementation an Efficient Network.
Additional Administrative Responsibilities

  • Head, Department of CSE, Metropolitan University (03/2021 – Present)

  • Dean (In-Charge), School of Science & Technology (Jul 2025 – Nov 2025) 

  • Syndicate Member, Metropolitan University (2024–2025) 

  • Academic Council Member, Metropolitan University (2021–Present) 

  • Senior Member, IQAC, Metropolitan University (2023–2025) 

  • Assistant Proctor, Metropolitan University (2022–2025) 

  • Head, Curriculum Committee, Department of CSE (2016–Present) 

Professional Training & Certifications

  • CCNA (Course Completed) 

  • Industry Training: PHP Group of Industries Ltd., Chattogram 

  • Linux Server Administration 

  • Network Design & Implementation 

  • DNS, DHCP, FTP, Mail & Web Server Configuration

Government Training Programs

  • UGC for OBE Curriculum Design

  • EDGE Project Trainer (2024)

  • Python with Data Science

  • Office Management

  • Key Contributions:

  • Conducted hands-on training in Python and Data Science.

  • Mentored students in Machine Learning and Data Analytics.

  • Supervised practical industry-oriented projects.

Machine Learning Deep Learning Spike Neural Network