Assistant Professor

Salim Jibrin Danbatta, Ph.D.

Software Engineering | Time series Analysis | Forecasting | Monte Carlo | Data Mining | Machine Learning
0000-0002-8913-5766

salimjibrin.danbatta@uskudar.edu.tr

salim@salimdambatta.com

Üsküdar University, Istanbul, Turkey

Dr. Salim Danbatta

Academic Profile

Biography

Dr. Salim Jibrin Danbatta is an Assistant Professor of Software Engineering at Üsküdar University, Istanbul. His research focuses on time series forecasting, data mining, machine learning, and neural networks. He serves on the scientific committee of ISDFS and reviews for Elsevier's Engineering Applications of Artificial Intelligence.

Education

🎓 Ph.D. Software Engineering – Fırat University
🎓 MSc Information System Engineering – Near East University
🎓 BSc Information Technology – Limkokwing University

Research Interests

Time Series Forecasting • Deep Learning • Data-Driven Models • Software Engineering • AI Ethics

Teaching (Recent)

  • Data Science & Analytics
  • Database Management Systems
  • Agile Methods
  • Object Oriented Programming
  • Software Validation & Testing

Awards & Recognition

  • Letter of Appreciation – Üsküdar University Rectorate (2025)
  • Kano State Government Overseas Scholarship (2012)

Administrative Duties

  • Academic Adviser (350+ students)
  • Software Engineering Dept. Education Commission Coordinator
  • Erasmus+ Coordinator

Peer-Reviewed Publications

Danbatta, S. J., & Varol, A. (2022). ANN–polynomial–Fourier series modeling and Monte Carlo forecasting of tourism data. Journal of Forecasting, 41(5), 920–932. https://doi.org/10.1002/for.2845
🔗 https://onlinelibrary.wiley.com/doi/10.1002/for.2845
Danbatta, S. J., & Varol, A. (2021). Modeling and Forecasting of Tourism Time Series Data using ANN-Fourier Series Model and Monte Carlo Simulation. 2021 9th International Symposium on Digital Forensics and Security (ISDFS), 1–6. https://doi.org/10.1109/ISDFS52919.2021.9486325
🔗 https://ieeexplore.ieee.org/document/9486325
Danbatta, S. J., & Varol, A. (2021). Monte Carlo forecasting of time series data using Polynomial-Fourier series model. International Journal of Modeling, Simulation, and Scientific Computing, 12(03), 2141004. https://doi.org/10.1142/S179396232141004X
🔗 https://www.worldscientific.com/doi/abs/10.1142/S179396232141004X
Danbatta, S. J., & Varol, A. (2020). Predicting Student’s Final Graduation CGPA Using Data Mining and Regression Methods: A Case Study of Kano Informatics Institute. 2020 8th International Symposium on Digital Forensics and Security (ISDFS), 1–7. https://doi.org/10.1109/ISDFS49300.2020.9116389
🔗 https://ieeexplore.ieee.org/document/9116389
Danbatta, S. J., & Varol, A. (2019). Comparison of Zigbee, Z-Wave, Wi-Fi, and Bluetooth Wireless Technologies Used in Home Automation. 2019 7th International Symposium on Digital Forensics and Security (ISDFS), 1–5. https://doi.org/10.1109/ISDFS.2019.8757472
🔗 https://ieeexplore.ieee.org/document/8757472
Ahmad, M. S., Danbatta, S. J., Abdullahi, A. A., Darma, A. A., & Ahmad, A. M. (2017). Issues Engulfing Operation of Internet Café in Kano State. International Journal of Advanced Research in Computer Science and Software Engineering, 7(5), 94–100. https://doi.org/10.23956/ijarcsse/SV7I5/0171
🔗 http://ijarcsse.com/Before_August_2017/docs/papers/Volume_7/5_May2017/SV7I5-0171.pdf
Ahmad, M. S., Danbatta, S. J., Abdullahi, A. A., Ahmad, A. M., & Darma, A. A. (2016). Use of Information Technology in Minimizing Insurgency Activities by Boko Haram in Borno State Nigeria. 6(12), 62–66.
🔗 http://ijarcsse.com/Before_August_2017/docs/papers/Volume_6/12_December2016/V6I12-01215.pdf
Danbatta, S. J., & Mohammed, N. D. (2016). Nigerian License Plate Using Bounding. 2(2), 239–244. https://fud.edu.ng/dujopas_2016.DEC.Vol2.issue2.php
🔗 https://fud.edu.ng/journals/dujopas/2016.DEC.Vol2.2/Salim_JD.pdf

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