• Visiting Research Fellow – QUT Momentum Visiting Fellow, QUT, Australia (2021 – Present) 
• Senior Lecturer (Computer Science) – South Eastern University of Sri Lanka (2020 – Present) 
• Sessional Academic – School of Electrical Engineering & Computer Science, QUT (2016 – 2019) 
• Lecturer (Computer Science) – South Eastern University of Sri Lanka (2012 – 2015) 
• Assistant Lecturer – South Eastern University of Sri Lanka (2010 – 2012) 
• Demonstrator in Computer Science – South Eastern University of Sri Lanka (2009 – 2010) 

Suitability For The Award

Dr. Mac Akmal Jahan Mohamed Abdul Cader, Senior Lecturer in Computer Science at the South Eastern University of Sri Lanka, is a highly accomplished academic and researcher, making him an exemplary candidate for the Best Researcher Award. With a career spanning over a decade, Dr. Cader has consistently demonstrated leadership in research, teaching, and academic development, particularly in the fields of artificial intelligence, computer science, and digital technologies. His research contributions, coupled with his active involvement in academic service, professional organizations, and international collaborations, solidify his standing as a leading figure in his domain.

Professional Development

Dr. Cader has participated in several professional development programs focused on effective communication, teaching and learning, and project-based learning. He has completed various certifications at QUT, enhancing his skills in pedagogy and curriculum development. His commitment to continuous improvement in education is evident in his active engagement in workshops and training sessions aimed at promoting best practices in teaching. As a Fellow of the Higher Education Academy, he champions high standards in academic instruction and student engagement. 

Research Focus

Dr. Cader’s research primarily focuses on artificial intelligence, data science, and document image analysis. He explores the synthesis and application of synthetic metals, aiming to develop innovative solutions in electronics and energy storage. His work on TCNQ chemistry has significant implications for biotechnology and medicine, including the construction of electrochemical sensors and drug delivery systems. By synthesizing novel compounds, he contributes to advancements in both theoretical and practical aspects of computer science and materials research. 

Awards and Honors

• Senate Honours Award for High Impact Publications – SEUSL (2022 & 2023) 
• Queensland University of Technology Postgraduate Award (QUTPRA) (2015) 
• Faculty Write Up (FWU) Scholarship – QUT, Australia (2019) 
• Effective Communication in Teaching and Learning – QUT, Australia (2019) 
• Foundation of Teaching and Learning – QUT (2018) 

Publication Top Notes 

• Locating tables in scanned documents for reconstructing and republishing | Cited by: 46 | Year: 2014 

• Plagiarism Detection on Electronic Text based Assignments using Vector Space Model (ICIAfS14) | Cited by: 37 | Year: 2014 

• AntiPlag: Plagiarism Detection on Electronic Submissions of Text Based Assignments | Cited by: 34 | Year: 2014 

• Plagiarism detection tools and techniques: A comprehensive survey | Cited by: 23 | Year: 2021 

• Fingerprint Systems: Sensors, Image Acquisition, Interoperability and Challenges | Cited by: 11 | Year: 2023 

• Contactless finger recognition using invariants from higher order spectra of ridge orientation profiles | Cited by: 10 | Year: 2018 

• Accelerating text-based plagiarism detection using GPUs | Cited by: 10 | Year: 2015 

• Contactless multiple finger segments based identity verification using information fusion from higher order spectral invariants | Cited by: 9 | Year: 2018