Fozia Zeeshan





Fozia Zeeshan is a devoted educator with a passion for teaching and mentoring students in the field of software engineering. Fozia draws on her considerable background in computer science as a Software Engineering Tutor at Yoobee Colleges to offer students with the tools and information they need to excel in this fast growing sector.

Fozia has an exceptional academic history, including a Master of Science in Computer Sciences (MS-CS) from Pakistan's Arid Agriculture University, a Master of Science (M.Sc) and a Bachelor of Science (B.Sc) in Computer Science from Multan's BZ University. She also has a Bachelor of Education from Lahore University of Education in Pakistan.

Her voluminous publication history demonstrates Fozia's expertise. She has published articles in academic journals. Her research interests extend from interactive case recognition using forensic techniques to brand loyalty, consumer satisfaction, and the buying behavior of teenagers for apparel and clothing and IoT applications and mobile wireless sensor networks where she proposed a strategy for optimizing the deployment of base stations demonstrates innovation and expertise in wireless networking.

She works on artificial intelligence, deep learning, and machine learning models in addition to the aforementioned. Her current doctorate focuses on forecasting the price and index of cryptocurrencies using deep learning and sentiment analysis.

Fozia served as an Associate Professor of Information Technology at a public graduate college in Sahiwal, Pakistan, prior to joining Yoobee Colleges. In this capacity, she were the Department Head of Information Technology, the Controller of Examination for the BS 4 Years program, and the Program Supervisor for the BS 4 Years degree program . Fozia was also a member of the College Council and co-chairperson of admission Committee. Fozia prepared and organized lectures for BS IT students, taught BS students software engineering, web development, Digital Logic Design, object oriented programming, C++, Java, and Artificial intelligence.

In addition, she supervised multiple senior-year research projects in web development and mobile application development and led seminars on a variety of computer science topics.

Overall, Fozia is a highly competent and motivated educator and researcher with exceptional research, instructing, and administrative skills. Her teaching and academic administration experience has refined her teaching and leadership abilities, making her an asset to any academic institution.


Academic Qualification

MSc: Master of Science (Computer Sciences), Arid Agriculture University, Punjab, 2016

MSc: Master of Science (Computer Sciences), Bahauddin Zakariya University, Punjab, 2016

BSc: Bachelor of Science (Computer Sciences), Bahauddin Zakariya University, Punjab, 1998






Research Outputs




Zeeshan, F., Nepal, N., & Norouzifard, M. (2023). Measurement and forecasting of fluctuating cryptocurrency prices using deep learning. In Proceedings of the 9th international conference on computer and communication engineering (ICCCE), August 15-16, 2023, Kuala Lumpur, Malaysia (pp. 258-263). IEEE.


Journal Articles

Zeeshan, F., Nepal, N., & Norouzifard, M. (2024). Use of artificial intelligence in Ethereum forecasting: The deep learning Models RNN and CNN with ensemble averaging technique. International Journal of Innovations in Science & Technology (IJIST), 6(5), 266–274.

Sana Nasim, A. A., 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.

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.

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.



Zeeshan, F., & Nepal, N. (2024, April 29-30). Use of artificial intelligence in Ethereum forecasting: The deep learning models RNN and CNN with Ensemble averaging technique [Conference paper presentation]. The International Conference on Innovations in Computing Technologies and Information Sciences (ICTIS-2024), April 29-30, Peshawar, Pakistan.

Zeeshan, F. (2023, October 25-27). Predicting cryptocurrency prices: Assessing accuracy using standard evaluation metrics [Conference paper presentation]. Retro-futuristic Visions: Looking Back to Look Forward. The 2nd International Academic Conference of Yoobee College of Creative Innovation, Wellington, New Zealand.

Zeeshan, F., Nepal, N., & Norouzifard, M. (2023, August 15-16). Measurement and forecasting of fluctuating cryptocurrency prices using deep learning [Conference paper presentation]. Engineering Research for a Sustainable World: The 9th International Conference on Computer and Communication Engineering (ICCCE), Kuala Lumpur, Malaysia.


Our friendly course advisors can help with everything you need to know including an outline of study options, key information about enrolment, and all our campuses spread around New Zealand.