About
Engineering Faculty
Bio
Dr. Abdur R. Sikder is a faculty member in the Department of Electrical and Computer Engineering at San Francisco Bay University. He teaches undergraduate and graduate courses in areas including Managing Enterprise Networks, Information Systems, Discrete Mathematics, System Administration, Machine Structures, and Software Development (Python, Java, C#, JavaScript), emphasizing project-based learning and applied problem solving aligned with ABET student outcomes in system design, technical competence, and professional practice.
Dr. Sikder’s research spans machine learning, bioinformatics, protein structure prediction, image processing, and cybersecurity, with projects in EEG/fMRI image reconstruction, automated disease detection, and protein domain boundary prediction. He has published extensively in IEEE, ACM, and BMC journals and conferences, authored technical books on programming and Python, and serves as a peer reviewer for leading bioinformatics journals.
He earned his Ph.D. in Computer Science from the University of Sydney, Australia, with concentrations in Machine Learning and Bioinformatics and an MBA from Lincoln University, California. Dr. Sikder also brings significant industry experience as founder and CEO of software and consulting ventures, bridging research, education, and practical technology applications.
Degree & Academic Institution:
- PhD, Computer Science
University of Sydney, Australia - MBA
Lincoln University, CA
Courses Taught:
- CS 250 - Introduction to Programming
- CS 230 - Linux and Shell Scripting
- CS 485 - Javascript and Internet Programming
Publications:
Journal Articles
- Gursaildeep Singh Sidhu, Aiman Shabbir, Ahmed Selim Anwar, Nazifa Taslima, Md Abu Sayem, Abdur R. Sikder, Analyzing Enterprise Data Protection and Safety Risks in Cloud Computing Using Ensemble Learning, 2024, Computing and Communication, Volume 12, Issue 2, pp. 499–507.
- Olawunmi George, Sarthak Dabas, Abdur Sikder, Sheikh Iqbal Ahamed, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, State-of-the-art Versus Deep Learning: A Comparative Study of Motor Imagery Prediction Techniques, 2022, IEEE Access, Volume 10.
- Olawunmi George, Sarthak Dabas, Abdur Sikder, Sheikh Iqbal Ahamed, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, Enhancing Motor Imagery Decoding via Transfer Learning, 2022, Smart Health, Volume 26.
- Amin, R., Karim, M.M., Sikder, A.R., Prediction of the Post-Translational Modification Sites on Dengue Virus E Protein and Deciphering Their Role in Pathogenesis, 2010, International Journal of Bioinformatics Research and Applications, Vol. 6, No. 5, pp. 508–521.
- Biswas, A.K., Noman, N., Sikder, A.R., Machine Learning Approach to Predict Protein Phosphorylation Sites by Incorporating Evolutionary Information, 2010, BMC Bioinformatics, Vol. 11, pp. 273.
- Sikder, A.R., Zomaya, A.Y., Analysis on Protein Phosphorylation Site Predictors with an Independent Dataset, 2009, International Journal of Bioinformatics Research and Applications, Vol. 5, No. 1, pp. 20–37.
- Yoo, P.D., Sikder, A.R., Zhou, B.B., Zomaya, A.Y., Improved IGRN for Protein Domain Boundary Prediction, 2008, BMC Bioinformatics, 9(Suppl 1): S12.
- Yoo, P.D., Sikder, A.R., Taheri, J., Zhou, B.B., Zomaya, A.Y., DomNet: Domain Boundary Prediction Using Enhanced General Regression Networks and New Profiles, 2008, IEEE Transactions on NanoBioscience, Vol. 7, No. 2.
- Sikder, A.R., Zomaya, A.Y., Inferring the Protein Domain Boundary of Discontinuous Domain, 2008, IEEE Transactions on NanoBioscience, Vol. 7, No. 3.
- Sikder, A.R., Bioinformatics in Bangladesh: An Optimistic View, 2008, Plant Tissue Cult. & Biotech., Vol. 18, No. 1, pp. 85–88.
- Sikder, A.R., Zomaya, A.Y., Improving the Performance of DomainDiscovery of Protein Domain Boundary Assignment Using Inter-Domain Linker Index, 2006, BMC Bioinformatics, Vol. 7(Suppl 5): S6.
- Sikder, A.R., Zomaya, A.Y., An Overview of Protein Folding Techniques: Issues and Perspectives, 2005, International Journal of Bioinformatics Research and Applications, Vol. 1, No. 1, pp. 121–143.
Books
- Sikder, A.R., Creating Application with Visual C#, 2020, eBook.
- Sikder, A.R., Python: Coding Made Easy, 2025, Amazon.
Conference Papers
- Amm Quamruzzaman, Abdur R. Sikder, Ava S. Currie, Rohith A. Moolakatt, Scott Hashimoto, Joyce Wang, Climate Change and COVID-19: Are Countries with Bigger Ecological Footprint Suffering More from COVID-19?, ASA2022, Los Angeles, California, USA, Aug 5–9, 2022.
- Sikder, A.R., Genetic Testing, a Step to Personalized Medicine, International Symposium on Regulatory and Safety Issues in the Commercialization of Biotechnology Research in Developing Countries, Dhaka, Bangladesh, Dec 2–4, 2008.
- Yoo, P.D., Sikder, A.R., Zhou, B.B., Zomaya, A.Y., Improved IGRN for Protein Domain Boundary Prediction, InCOB2007, Hong Kong, Aug 27–31, 2007.
- Sikder, A.R., Zomaya, A.Y., Improving the Performance of DomainDiscovery of Protein Domain Boundary Assignment Using Inter-Domain Linker Index, Bioinformatics Australia 2006, “Connecting Australian Bioinformatics,” Sydney, Nov 21–22, 2006.
- Sikder, A.R., Zomaya, A.Y., Improving the Performance of DomainDiscovery of Protein Domain Boundary Assignment Using Inter-Domain Linker Index, InCOB2006, New Delhi, India.
- Sikder, A.R., Kay, J., Enhanced Multiple-Choice Question for Formative Assessment in E-Learning and User Modeling, International Conference on E-Learn 2004, Washington, DC, USA, Nov 1–5, 2004.
Bio
Dr. Abdur R. Sikder is a faculty member in the Department of Electrical and Computer Engineering at San Francisco Bay University. He teaches undergraduate and graduate courses in areas including Managing Enterprise Networks, Information Systems, Discrete Mathematics, System Administration, Machine Structures, and Software Development (Python, Java, C#, JavaScript), emphasizing project-based learning and applied problem solving aligned with ABET student outcomes in system design, technical competence, and professional practice.
Dr. Sikder’s research spans machine learning, bioinformatics, protein structure prediction, image processing, and cybersecurity, with projects in EEG/fMRI image reconstruction, automated disease detection, and protein domain boundary prediction. He has published extensively in IEEE, ACM, and BMC journals and conferences, authored technical books on programming and Python, and serves as a peer reviewer for leading bioinformatics journals.
He earned his Ph.D. in Computer Science from the University of Sydney, Australia, with concentrations in Machine Learning and Bioinformatics and an MBA from Lincoln University, California. Dr. Sikder also brings significant industry experience as founder and CEO of software and consulting ventures, bridging research, education, and practical technology applications.
Degree & Academic Institution:
- PhD, Computer Science
University of Sydney, Australia - MBA
Lincoln University, CA
Courses Taught:
- CS 250 - Introduction to Programming
- CS 230 - Linux and Shell Scripting
- CS 485 - Javascript and Internet Programming
Publications:
Journal Articles
- Gursaildeep Singh Sidhu, Aiman Shabbir, Ahmed Selim Anwar, Nazifa Taslima, Md Abu Sayem, Abdur R. Sikder, Analyzing Enterprise Data Protection and Safety Risks in Cloud Computing Using Ensemble Learning, 2024, Computing and Communication, Volume 12, Issue 2, pp. 499–507.
- Olawunmi George, Sarthak Dabas, Abdur Sikder, Sheikh Iqbal Ahamed, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, State-of-the-art Versus Deep Learning: A Comparative Study of Motor Imagery Prediction Techniques, 2022, IEEE Access, Volume 10.
- Olawunmi George, Sarthak Dabas, Abdur Sikder, Sheikh Iqbal Ahamed, Roger Smith, Praveen Madiraju, Nasim Yahyasoltani, Enhancing Motor Imagery Decoding via Transfer Learning, 2022, Smart Health, Volume 26.
- Amin, R., Karim, M.M., Sikder, A.R., Prediction of the Post-Translational Modification Sites on Dengue Virus E Protein and Deciphering Their Role in Pathogenesis, 2010, International Journal of Bioinformatics Research and Applications, Vol. 6, No. 5, pp. 508–521.
- Biswas, A.K., Noman, N., Sikder, A.R., Machine Learning Approach to Predict Protein Phosphorylation Sites by Incorporating Evolutionary Information, 2010, BMC Bioinformatics, Vol. 11, pp. 273.
- Sikder, A.R., Zomaya, A.Y., Analysis on Protein Phosphorylation Site Predictors with an Independent Dataset, 2009, International Journal of Bioinformatics Research and Applications, Vol. 5, No. 1, pp. 20–37.
- Yoo, P.D., Sikder, A.R., Zhou, B.B., Zomaya, A.Y., Improved IGRN for Protein Domain Boundary Prediction, 2008, BMC Bioinformatics, 9(Suppl 1): S12.
- Yoo, P.D., Sikder, A.R., Taheri, J., Zhou, B.B., Zomaya, A.Y., DomNet: Domain Boundary Prediction Using Enhanced General Regression Networks and New Profiles, 2008, IEEE Transactions on NanoBioscience, Vol. 7, No. 2.
- Sikder, A.R., Zomaya, A.Y., Inferring the Protein Domain Boundary of Discontinuous Domain, 2008, IEEE Transactions on NanoBioscience, Vol. 7, No. 3.
- Sikder, A.R., Bioinformatics in Bangladesh: An Optimistic View, 2008, Plant Tissue Cult. & Biotech., Vol. 18, No. 1, pp. 85–88.
- Sikder, A.R., Zomaya, A.Y., Improving the Performance of DomainDiscovery of Protein Domain Boundary Assignment Using Inter-Domain Linker Index, 2006, BMC Bioinformatics, Vol. 7(Suppl 5): S6.
- Sikder, A.R., Zomaya, A.Y., An Overview of Protein Folding Techniques: Issues and Perspectives, 2005, International Journal of Bioinformatics Research and Applications, Vol. 1, No. 1, pp. 121–143.
Books
- Sikder, A.R., Creating Application with Visual C#, 2020, eBook.
- Sikder, A.R., Python: Coding Made Easy, 2025, Amazon.
Conference Papers
- Amm Quamruzzaman, Abdur R. Sikder, Ava S. Currie, Rohith A. Moolakatt, Scott Hashimoto, Joyce Wang, Climate Change and COVID-19: Are Countries with Bigger Ecological Footprint Suffering More from COVID-19?, ASA2022, Los Angeles, California, USA, Aug 5–9, 2022.
- Sikder, A.R., Genetic Testing, a Step to Personalized Medicine, International Symposium on Regulatory and Safety Issues in the Commercialization of Biotechnology Research in Developing Countries, Dhaka, Bangladesh, Dec 2–4, 2008.
- Yoo, P.D., Sikder, A.R., Zhou, B.B., Zomaya, A.Y., Improved IGRN for Protein Domain Boundary Prediction, InCOB2007, Hong Kong, Aug 27–31, 2007.
- Sikder, A.R., Zomaya, A.Y., Improving the Performance of DomainDiscovery of Protein Domain Boundary Assignment Using Inter-Domain Linker Index, Bioinformatics Australia 2006, “Connecting Australian Bioinformatics,” Sydney, Nov 21–22, 2006.
- Sikder, A.R., Zomaya, A.Y., Improving the Performance of DomainDiscovery of Protein Domain Boundary Assignment Using Inter-Domain Linker Index, InCOB2006, New Delhi, India.
- Sikder, A.R., Kay, J., Enhanced Multiple-Choice Question for Formative Assessment in E-Learning and User Modeling, International Conference on E-Learn 2004, Washington, DC, USA, Nov 1–5, 2004.