OIC-COMSTECH Digital Transformation Lecture Series
OIC Ministerial Standing Committee on Scientific and Technological Cooperation (COMSTECH) is organizing a Digital Transformation Lecture Series, aimed at promoting technical capacity building and scientific collaboration among OIC member states in emerging engineering sciences and technologies.
Through thematic webinars, this series seeks to strengthen technological awareness, facilitate the exchange of expertise and encourage regional cooperation in the adoption and application of emerging technologies.
Webinar Schedule
Session 1: OptiSystem 23.1 – Enabling Quantum Communication Software
Date: 15 October 2026
Topics: Quantum communication software, emerging communication technologies and secure-network applications.
Weblink: https://comstech.org/optisystem-23-1-software-enabling-quantum-10-oct-2026/
Session 2: Robotics & Automation: AI for Industrial Automation
Date: 26 October 2026
Topics: Applications of robotics and artificial intelligence in industrial automation, manufacturing efficiency and intelligent production systems.
Weblink: https://comstech.org/webinar-on-robotics-automation/
Session 3: IoT & Smart Systems and Applications in Agriculture
Date: To be Announced
Topics: Precision agriculture, connected sensors, smart monitoring and efficient resource management.
Session 4: AI Ethics, Governance & Policy Frameworks
Date: 5 November 2026
Topics: Responsible AI adoption, transparency, accountability, data protection and governance frameworks.
Session 5: AI Applications in Healthcare
Date: 18 November 2026
Topics: AI-assisted diagnosis, clinical decision support, medical research and healthcare service delivery.
Session 6: Cybersecurity & Digital Governance
Date: 22 December 2026
Topics: Cyber resilience, digital infrastructure protection, network security and digital governance.
Session 7: Artificial Intelligence & Machine Learning: Generative AI and Its Applications
Date: To be announced
Topics: Machine learning, generative AI, intelligent decision-making and applications across industry, education and research.
Session 8: Data Science & Big Data
Date: To be announced
Topics: Data analytics, big data technologies and data-driven decision-making across institutions and industries.
Who Can Participate?
The lecture series is open to students, researchers, academics, engineers, IT professionals, industry representatives, policymakers and individuals interested in digital transformation and emerging technologies.
Dates and programme details are subject to change.