Machine Vision and Intelligent Systems Lab

We are delighted to organize and host a 4-day Intensive Training on Applied AI & Data Science for Environmental Sustainability as part of our UKRI funded S2Cool project. This workshop is more than a learning exercise; it aims to build high-velocity AI pipelines that address critical climate and urban cooling challenges.

Over the course of 4 days, our participants will be working under the guidance of our experienced trainers to bridge the gap between research and deployment:

🎓 Dr. Muhammad Moazam Fraz – Building LLM-powered RAG assistants for climate reporting.
🎓 Dr. Nazia Pervaiz – Leveraging Computer Vision and Remote Sensing for heat-risk monitoring.
🎓 Dr. Fahad Satti – Implementing MLOps & LLOps strategies for production-grade AI.
🎓 Ms. Sahar Arshad – Mastering Clean Code and Modular AI Software Engineering.

The Objective: The "CoolSmart Intelligence Platform" ❄️

The training culminates in a capstone project that integrates satellite data with Generative AI to identify urban heat-risk zones and generate evidence-grounded interventions, ensuring that cooling solutions are data-driven and scalable.

A Global Collaborative Effort 🤝

This initiative is a testament to the international academic partnerships between:

⭐ UKRI (UK Research and Innovation)
⭐ Northumbria University
⭐ NUST SEECS

Together, we are equipping researchers and engineers with the skills to turn "Drones into Decisions" and data into climate action.

𝐒𝐏𝐄𝐀𝐊𝐄𝐑 𝐀𝐍𝐍𝐎𝐔𝐍𝐂𝐄𝐌𝐄𝐍𝐓:

Traditional teaching methods are often too slow for the fast-paced world of technical skills. To achieve true "Mastery," we need to rethink the structure of learning itself.

We are pleased to welcome an expert in modern pedagogy from 𝐀𝐥𝐥𝐚𝐦𝐚 𝐈𝐪𝐛𝐚𝐥 𝐎𝐩𝐞𝐧 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 (𝐀𝐈𝐎𝐔) to the 𝐁𝐚-𝐈𝐤𝐡𝐭𝐢𝐲𝐚𝐫 𝐉𝐚𝐰𝐚𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 workshop.

𝐒𝐩𝐞𝐚𝐤𝐞𝐫: 𝐃𝐫. 𝐀𝐧𝐞𝐞𝐥𝐚 𝐀𝐥𝐚𝐦 (Lecturer, Department of Secondary Teacher Education, AIOU)

𝐓𝐨𝐩𝐢𝐜: “𝐃𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐒𝐤𝐢𝐥𝐥 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: 𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐀𝐈 𝐰𝐢𝐭𝐡𝐢𝐧 𝐭𝐡𝐞 𝐃𝐨𝐮𝐛𝐥𝐞 𝐅𝐥𝐢𝐩𝐩𝐞𝐝 𝐌𝐨𝐝𝐞𝐥 𝐟𝐨𝐫 𝐓𝐕𝐄𝐓 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧”

The "Flipped Classroom" is a known concept, but Dr. Aneela takes it a step further with the Double Flipped Model. She will explore how Artificial Intelligence can supercharge this approach specifically for vocational training.

𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬:

Beyond Lectures: Moving content delivery outside the classroom so workshop time is 100% focused on hands-on practice.

AI-Driven Facilitation: Using AI tools to manage the pre-class learning phase and assess student readiness before they even touch the machinery.

Skill Mastery: A framework designed not just for passing exams, but for achieving actual competence in technical trades.

Join 𝐌𝐚𝐜𝐡𝐯𝐢𝐬, 𝐍𝐔𝐒𝐓, and 𝐃𝐀𝐀𝐃 as we explore the intersection of advanced pedagogy and digital tools.

📅 𝐃𝐚𝐭𝐞: 27 November 2025
📍 𝐕𝐞𝐧𝐮𝐞: Seminar Hall, NUST SEECS, Islamabad

Organizers:
Prof Dr Muhammad Moazam Fraz
Dr Muhammad Imran Malik
Dr Junaid Younas