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

Muhammad, A., Muhammad, I. Y., Ali, A. H., Isah, M. A., Danbatta, S. J., & Sait, A. A. (2026). A Source-Environment- Response (SER) approach for solving Spatio-Temporal Radon Transport in Different Media. Journal of Atmospheric and Solar-Terrestrial Physics, 282(March), 106796. https://doi.org/10.1016/j.jastp.2026.106796
🔗 https://doi.org/10.1016/j.jastp.2026.106796
Muhammad, A., Danbatta, S. J., Isah, M. A., Muhammad, I. Y., Ahmad, S. S., & Ghozlan, A. (2026). QSignature 1.0: A Dynamical Regime Classification Framework for Causal Time Series Data. 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 1–6. https://doi.org/10.1109/ISDFS69419.2026.11459049
🔗 https://doi.org/10.1109/ISDFS69419.2026.11459049
Danbatta, S. J., Muhammad, A., Varol, A., & Abdurrahaman, D. T. (2025). Forecasting monthly rainfall using hybrid time-series models and Monte Carlo simulation amidst security challenges: a case study of five districts from northern Nigeria. Environment, Development and Sustainability, 27(6), 13815–13837. https://doi.org/10.1007/s10668-024- 04516-6
🔗 https://doi.org/10.1007/s10668-024- 04516-6
Muhammed, U N., Danbatta, S. J., & Usman, U. Tawakaltu A. O. (2025). Leveraging Storm-breaker as a social Engineering Tool to Assess Penetration Levels and Develop Attack Prevention Strategies for Android and iOS Devices, Journal of Scientific Reports, 9(1), 251-260. DOI: https://doi.org/10.58970/JSR.1107
🔗 https://www.ijsab.com/jsr-volume-9-issue-1/8217
Muhammad, A., Külahc?, F., & Danbatta, S. J. (2024). Ion Transport from Soil to Air and Electric Field Amplitude of the Boundary Layer. Geomagnetism and Aeronomy, 64(4), 581–591. https://doi.org/10.1134/S0016793223600613
🔗 https://link.springer.com/article/10.1134/S0016793223600613
Mati, S., Danbatta, S. J., Varol, A., Nasab, A., Usman, A. G., Uzun, B., & Muhammad, A. (2024). Econometric and AI-Based Modelling of Nigeria’s Interest Rates Based on Fisher Equation. 2024 12th International Symposium on Digital Forensics and Security (ISDFS), 1–6. https://doi.org/10.1109/isdfs60797.2024.10527285
🔗 https://doi.org/10.1109/isdfs60797.2024.10527285
Mati, S., Civcir, I., Danbatta, S. J., Varol, A., Nasab, A., Muhammad, A., & Abba, S. I. (2024). Demystifying Knitr Package: Essential Recipes and Easy Steps for Adding Knit-Engines in R. 2024 12th International Symposium on Digital Forensics and Security (ISDFS), 01–06. https://doi.org/10.1109/isdfs60797.2024.10527232
🔗 https://doi.org/10.1109/isdfs60797.2024.10527232
Muhammad, A., Danbatta, S. J., Muhammad, I. Y., & Nasidi, I. I. (2023). Exploring soil radon (Rn) concentrations and their connection to geological and meteorological factors. Environmental Science and Pollution Research, 31(1), 565–578. https://doi.org/10.1007/s11356-023-31237-6
🔗 https://link.springer.com/article/10.1007/s11356-023-31237-6
Danbatta, S. J., Varol, A., & Nasab, A. (2022). Time series Modeling and Forecasting of Expected Monthly Rainfall in Some Regions of Northern Nigeria Amid Security Challenges. 2022 3rd International Informatics and Software Engineering Conference (IISEC), 1–6. https://doi.org/10.1109/IISEC56263.2022.9998189
🔗 https://ieeexplore.ieee.org/document/9998189
Danbatta, S. J., & Varol, A. (2022). Forecasting Foreign Visitors Arrivals Using Hybrid Model and Monte Carlo Simulation. International Journal of Information Technology & Decision Making, 21(06), 1859–1878. https://doi.org/10.1142/S0219622022500365
🔗 https://doi.org/10.1142/S0219622022500365

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