Programming & Software Development
C, C++, Python, PHP, data structures, and algorithmic problem-solving.
Teaching
I enjoy teaching at the intersection of computing fundamentals, AI, and applied systems. My teaching emphasizes conceptual clarity, hands-on implementation, and real-world problem solving.
Teaching Strengths
Artificial Intelligence & Data Science
Machine learning workflows, data mining, and interpretable AI foundations.
Computer Systems & Architecture
Computer organization, microprocessors, and systems-level reasoning.
Networks & Communication
Data communication, computer networks, and advanced internetworking topics.
Courses Taught
- Programming: C, C++, PHP, Python
- Data Mining and Artificial Intelligence
- Computer Organization and Microprocessors
- Computer Networks and Data Communication
- Digital Logic and Communication Systems
- Capstone and project supervision courses
Courses I Can Teach
- Machine Learning and Applied AI
- Neurosymbolic AI (introductory and advanced seminar format)
- Time Series Forecasting and Predictive Modeling
- Optimization for Intelligent Transportation Systems
- Research Methods for AI and Information Systems
Mentoring & Instructional Approach
I structure courses to balance theory, coding practice, and project-based learning. In mentoring, I focus on helping students define clear research questions, build reproducible workflows, and communicate technical results effectively.
Teaching Contact
For teaching invitations, guest lectures, workshops, or student mentoring collaboration: Contact.