Professor of Computer Science
Department of Software Engineering
Bucak Faculty of Computer and Informatics
Mehmet Akif Ersoy University, Turkey

I am a Professor of Computer Science at Mehmet Akif Ersoy University, specializing in Artificial Intelligence and Machine Learning. My research focuses on developing intelligent systems, cybersecurity solutions, and advanced information systems. I am passionate about leveraging AI technologies to solve real-world problems and have been recognized as one of the "World's Most Influential Scientists" by Stanford University and Elsevier for both 2023 and 2024.

• Artificial Intelligence

  • Machine Learning Applications
  • Deep Learning
  • Neural Networks
  • Pattern Recognition

• Cybersecurity

  • Continuous Authentication Systems
  • Behavioral Analysis
  • Security in Information Systems

• Information Systems

  • Human Activity Recognition
  • Stress Detection via Behavioral Analysis
  • Mobile and Smartphone Applications

• Systems Engineering & DevOps

  • Linux Systems Administration
  • Open Source Technologies
  • Software Engineering Practices

• COVID-19 Data Analysis and Forecasting

  • Description: Comprehensive analysis and forecasting models for COVID-19 pandemic data with predictive analytics.
  • Published: 2021

• Human Activity Recognition Using PCA and Random Forest

  • Description: Advanced machine learning approach for recognizing human activities using Principal Component Analysis and Random Forest algorithms.
  • Published: 2019

• Continuous Authentication Using Machine Learning

  • Description: Innovative authentication system that continuously verifies users through behavioral patterns using machine learning techniques.
  • Published: 2024

• Stress Detection via Smartphone Typing Behaviors

  • Description: Novel approach to detect stress levels by analyzing typing patterns and behaviors on smartphones.
  • Published: 2020

• Electricity Generation Forecasting Under COVID-19 Lockdown

  • Description: Predictive modeling for electricity generation during pandemic lockdown periods.
  • Published: 2021

• World's Most Influential Scientists - Stanford University & Elsevier (2023, 2024)

To explore my complete research portfolio, check out my Google Scholar and ResearchGate profiles.

Get in touch with me via these channels:

• Email: serkanballi@mehmetakif.edu.tr
• Personal Website: serkan.yapay.us
• LinkedIn: linkedin.com/in/serkanballi
• GitHub: github.com/s-balli

Last updated: August 12, 2025