Md. Sadiq Iqbal
Professor & Head
Academic Qualifications:
1. PhD, Dhaka University of Engineering & Technology (DUET), Result: Continue
2. Master of Computer Science, National Technical University of Ukraine, Kiev, Ukraine.
3. Bachelor of Computer Engineering, National Technical University of Ukraine, Kiev, Ukraine.
4. Higher Secondary School Certificate (H.S.C), New Govt. Degree College, Rajshahi.
5. Secondary School Certificate (S.S.C), Government Laboratory High School, Rajshahi.
Professional Certification:
1. Accessing Data with Microsoft.NET Framework 4, Microsoft Corporation, November, 2010
2. Web Applications Development with Microsoft.NET Framework 4, Microsoft Corporation, October, 2010
3. Windows Application Development, with Microsoft.NET Framework 4, Microsoft Corporation, October, 2010
Skills Profile:
Proficient or familiar with a vast array of computer technologies, including-
1. Platforms: Microsoft Windows Server 2000/2003/2008, Linux (Redhat, CentOS, Ubuntu)
2. Networking: LAN and WAN Technologies, Remote Installation Service (RIS), NFS Server, DNS Server, IIS, Apache Server, FTP Server, Samba, Print Server etc.
3. Programming: Turbo C/C++, Visual Basic 6.0/. Net, Visual C #, Java
4. Database Technologies: Microsoft SQL Server 2005/2008
5. Internet Technologies: PHP, ASP, HTML, DHTML, XHTML, CSS, XML, JavaScript
6. Graphic Design Tools: Microsoft Frontpage, Adobe Dreamweaver CS3, Adobe Flash CS3, Adobe Illustrator CS3
Professional Experience:
1. Associate Professor and Head, Department of Computer Science & Engineering, Bangladesh University. From 08/2014 to Present
2. Assistant Professor and Head, Department of Computer Science & Engineering, Bangladesh University. From 08/2008 to 07/2014
3. CEO, Center For Excellence in Research, Entrepreneurship & Teaching (CERET), Bangladesh University. From 08/2009 – Present
4. Lecturer, Department of Computer Science and Engineering, Bangladesh University. From 05/2005 to 07/2008
5. Teaching assistant, National Technical University of Ukraine, Kiev, Ukraine. From 09/1999 to 02/2001
Area of Interest
1. Telemedicine
2. Machine Learning
3. Network Security
4. WAN Technologies
5. Cloud Computing
6. Web Programming
7. High Performance Computing
Machine Learning-Enhanced SPR-Based Optical Biosensor for Cancer Cell Detection. Journal: Optics and Laser Technology. Publisher: Elsevier. DOI: https://www.doi.org/10.1016/j.optlastec.2025.113796
Performance analysis of classical and quantum support vector machines for diagnosis of chronic kidney disease. Journal: Informatics and Health. Publisher: Elsevier. DOI: https://doi.org/10.1016/j.infoh.2025.08.003
A Machine Learning Framework for Discriminating between ChatGPT and Web Search Results. Journal: Statistics, Optimization & Information Computing. Publisher: International Academic Press. DOI: https://doi.org/10.19139/soic-2310-5070-2338
A Machine Learning Framework for Identifying Sources of AI-Generated Text. Journal: Statistics, Optimization & Information Computing. Publisher: International Academic Press. DOI: https://doi.org/10.19139/soic-2310-5070-2225
An Ensemble Approach for Artificial Neural Network-Based Liver Disease Identification. Journal: Medinformatics. Publisher: Bon View Publishing. DOI: https://doi.org/10.47852/bonviewMEDIN52024744
Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model. Journal: Informatics and Health. Publisher: Elsevier. DOI: https://doi.org/10.1016/j.infoh.2025.01.001
Blood pressure abnormality detection and Interpretation utilizing Explainable Artificial Intelligence. Published in: Intelligent Medicine (Elsevier). DOI: http://dx.doi.org/10.1016/j.imed.2024.09.005
Analysis of the Performance of Feature Optimization Techniques for the Diagnosis of Machine Learning-based Chronic Kidney Disease. Journal: Machine Learning with Applications. Publisher: Elsevier. DOI: http://dx.doi.org/10.1016/j.mlwa.2022.100330
Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain. Published in: IEEE Transactions on Artificial Intelligence. DOI: http://dx.doi.org/10.1109/TAI.2024.3394799
An Explainable AI Driven Machine Learning Approach for Maternal Health Risk Analysis. Publisher: IEEE. Available: ResearchGate Link (https://www.researchgate.net/publication/391536838_An_Explainable_AI_Driven_Machine_Learning_Approach_for_Maternal_Health_Risk_Analysis)
A Noble Cost Effective Distributed Electronic Health System for Patient Data Handling. Journal: IJCSIS. Available: Zenodo Link (https://zenodo.org/records/4925706)
Publication in Progress:
Lagribot: The Development of Agricultural Robot Using Iot with Deep Learning Paradigm to Identify Locust. Preprint available: http://dx.doi.org/10.2139/ssrn.4406704
A Secure Telemedicine Scheme Based on Distributed Database, Machine Learning and Iot for Diagnosis of Diabetes Disease. Preprint available: http://dx.doi.org/10.2139/ssrn.5205532
A Comparative Machine Learning Based Obfuscated Malware Detection through Feature Scaling and Feature Optimization. Journal: Multimedia Tools and Applications. Publisher: Springer. Status: Under review.