Dynamic educator with extensive expertise in software engineering and artificial intelligence, previously at Yoobee Colleges. Proven ability to mentor students and develop innovative curricula. Adept in data analytics and project management, fostering a collaborative learning environment that enhances student engagement and success. Committed to integrating industry trends into academic frameworks.
Armed Services Board certificate in Security and First Aid (PAK)
Mental Health First Aid training by St. John (New Zealand)
Professional Affiliations
Supervised Projects (AI/Data Science Focus)
🔹 AI Wildlife Conservation (YOLOv8, Faster R-CNN)
🔹 Mental Health Behavior Analysis (Haar Filters + ResNet)
🔹 Automated Agricultural System (Image Recognition)
🔹 Data Analytics for Avon River Water Quality
🔹Predictive Analytics for House Price Estimation
🔹Fraud detection in financial transactions
🔹Sentiment Analysis on Social Media Data
🔹Market Basket Analysis (Association Rule Mining)
I am a very active member of Yoobee Colleges' research committee and continuously produce quality research work. Here are my research publications.
[1]. Zeeshan, F., & Prakash, B. (2025, January). AI-Powered Health Analytics: Addressing Cultural Disparities and Promoting Equity in Healthcare Delivery. Research & Professional Development Symposium 2025, Auckland.
[2]. Zeeshan, F., Nepal, N., & Norouzifard, M. (2024). Use of Artificial Intelligence in Ethereum Forecasting: The Deep Learning Models RNN and CNN with Ensemble Averaging. International Journal of Innovations in Science and Technology (IJIST). 🔗Link
[3]. Zeeshan, F., Nepal, N., & Norouzifard, M. (2023, August). Measurement and Forecasting of Fluctuating Cryptocurrency Prices Using Deep Learning. IEEE 9th International Conference on Computer and Communication Engineering (ICCCE). 🔗Link
[4]. Zeeshan, F. (2023, October). Predicting Cryptocurrency Prices: Assessing Accuracy Using Standard Evaluation Metrics. 2nd International Academic Conference of Yoobee College of Creative Innovation, Wellington, NZ. 🔗Link
[5]. Nasim, S., Hussain, S., Draz, U., Saeed, F., Haq, Z. U. I., Tahira, Abbas, U. N., & Rehman, M. U. (2020). An Energy Efficient Base Stations Optimization Scheme for Mobile Wireless Sensor Networks Enabled IoTs. IJCSNS International Journal of Computer Science and Network Security, 20(10),65–78. 🔗Link
[6]. Saeed, F., Shafique, Dr., Haq, Z. U. I., & Sultan, R. (2017). Interactive Case Recognition using Forensic Techniques. International Journal of Computer Science and Information Security (IJCSIS), 15(5), 123-126. 🔗Link
[7]. Ahsan, R., Saeed, A., Siddiqi, S., Masood, A., Zeeshan, F., & Amjad, I. T. (2017). Brand Consciousness, Brand Loyalty, Consumer Satisfaction and Buying Behavior of Teenagers for Apparel and Clothing. European Journal of Business and Management, 9(34), 45–52. 🔗Link