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Guest Lecture: Mohsan Ali

Created: 30.10.2026

A guest lecture by Mohsan Ali entitled “Learning Across Borders: Education, Culture, and the Greek Experience” will take place on Tuesday, 10 November 2026, at 4:00 p.m. in Room 1, FOI 1, as part of the Business Communication course in the first year of the undergraduate programme in Economics of Entrepreneurship. The lecture is open to all interested participants.

The presentation begins with the speaker’s personal and academic journey from Pakistan to Greece, introducing his educational background, research at the University of the Aegean, and Erasmus+ experience at the University of Zagreb. It then explores the Greek experience through fascinating historical stories, cultural traditions, education, and everyday life. From ancient democracy and the story of Mytilene to the surprising connection between Greek urban planner Constantinos Doxiadis and Pakistan’s capital, Islamabad, the presentation highlights how knowledge, culture, and ideas cross national borders. It concludes with a brief reflection on the role of cultural understanding and communication in connecting people across academic and professional environments.

About the speaker

Mohsan Ali is a researcher at the Information Systems Laboratory (ISL), part of the Department of Information and Communication Systems Engineering (ICSD) at the University of the Aegean, Greece, and a PhD scholar researching technical interoperability for big, open, and linked data. He is an alumnus of the EU-funded Marie Skłodowska-Curie Actions (MSCA) programme under Horizon 2020 and is currently undertaking an Erasmus+ mobility programme at the Faculty of Organization and Informatics (FOI), University of Zagreb, Croatia. He holds an MS in Computer Science with distinction and a Gold Medal from Air University, Pakistan, and a BS in Computer Science from PMAS-Arid Agriculture University, Pakistan. His research interests include open-data ecosystems, semantic interoperability, artificial intelligence, natural language processing, large language models, and AI-enabled digital governance.