Machine Vision and Intelligent Systems Lab

𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝗔𝗜 𝗮𝗻𝗱 𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘀𝗺𝗮𝗿𝘁 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁𝘀.

Join us for an immersive 5-Day Bootcamp on:
𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝗶𝗰 𝗖𝗼𝗼𝗹𝗶𝗻𝗴: 𝗨𝘀𝗶𝗻𝗴 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘁𝗼 𝗧𝗮𝗰𝗸𝗹𝗲 𝗨𝗿𝗯𝗮𝗻 𝗛𝗲𝗮𝘁 𝗮𝗻𝗱 𝗖𝗮𝗿𝗯𝗼𝗻 𝗘𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀

Are you ready to move beyond theoretical AI and tackle real-world climate challenges? This hands-on workshop dives deep into Reinforcement Learning (RL) applications for smart energy grids, decarbonization, and urban cooling using industry-standard tools.

𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗪𝗶𝗹𝗹 𝗟𝗲𝗮𝗿𝗻

1. Master RL foundations from Markov Decision Processes to advanced policy gradients (PPO, SAC, DDPG).

2. Build and train AI agents using PyTorch, Gymnasium, and Stable-Baselines3.

3. Design multi-agent systems with CityLearn to optimize HVAC and grid demand under real weather variability.

4. Analyze sustainability metrics like carbon reduction and thermal comfort rather than traditional game scores.

𝗘𝘃𝗲𝗻𝘁 𝗗𝗲𝘁𝗮𝗶𝗹𝘀
𝗗𝗮𝘁𝗲: 31 August – 04 September 2026
𝗧𝗶𝗺𝗲: 10:00 am to 1:00 pm
𝗩𝗲𝗻𝘂𝗲: Smart Classroom, SEECS, NUST
𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗼𝗿𝘀: Dr. Zuhair Zafar & Mr. Haider Masood
𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗲𝗿𝘀: Dr. Muhammad Moazam Fraz & Dr. Zuhair Zafar & Dr. Muhammad Naseer Bajwa

𝗪𝗵𝗼 𝗦𝗵𝗼𝘂𝗹𝗱 𝗔𝘁𝘁𝗲𝗻𝗱
Whether you are a student, researcher, industry engineer, or AI enthusiast, if you are passionate about leveraging Artificial Intelligence for social good, clean energy, and sustainable urban planning, this bootcamp is for you!

𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻
𝗙𝗲𝗲: PKR 5,000 (10% discount for NUST students!)
𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲: 27th August 2026
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗛𝗲𝗿𝗲: https://forms.gle/DEQeQWYSfcYrnQRQA

In collaboration with NUST, MachVIS, UKRI, and Northumbria University.

📢 Job Opportunity: Research Associate / Full-Stack Developer

We are looking for a highly motivated Research Associate / Full-Stack Developer to join our funded research project, IM’DAD.

The project focuses on advanced medical data analytics using decentralised and federated healthcare data lakes, with strong emphasis on secure data management and governance.

Required skills:

✅ Full-stack software development, including frontend and backend architectures
✅ Enterprise data management and data-lake architecture
✅ Distributed systems and secure data pipelines
✅ Integration of analytical models into federated healthcare environments

📅 Application deadline: 21 August 2026
🎤 Interviews for shortlisted candidates (tentative): 24 August 2026
🚀 Position start date: 1 September 2026

Interested candidates can apply through the following link:

🔗 https://forms.gle/nnRWMo7SfAAFeUnXA

For queries, please contact:
📧 [email protected]

Please note, only shortlisted candidates will be called for the interview.

Call for Papers – ICoDT2‑2026
Hosted at NUST, Islamabad | In collaboration with IEEE

Join leading researchers, academicians, and industry professionals at the 6th International Conference on Digital Futures and Transformative Technologies (ICoDT2‑2026). This premier global platform explores cutting‑edge innovations shaping the digital future from AI and machine learning to cybersecurity, robotics, and digital health.

Key Dates

Full Paper Submission: 21 June 2026

Notification of Acceptance: 17 August 2026

Camera Ready Due: 30 August 2026

Registration Deadline: 10 September 2026

Conference Dates: 17–18 November 2026

🔗 Learn more & submit your paper: https://conference.seecs.edu.pk/icodt2-2026/
📧 Contact: [email protected]

The Machine Vision & Intelligent Systems Lab proudly congratulates our esteemed Lab Director, Prof. Dr. Muhammad Moazam Fraz, on receiving the prestigious Tamgha-i-Imtiaz by the President of Pakistan on 13 May 2026.
This distinguished civil award recognizes his exceptional contributions to research, innovation, higher education, and the advancement of Artificial Intelligence and Machine Vision in Pakistan.
Prof. Dr. Fraz’s visionary leadership, dedication to scientific excellence, and commitment to mentoring future researchers continue to inspire the entire academic and research community. We are honored to be part of this remarkable journey and celebrate this proud national achievement with him.
Congratulations on this well-deserved recognition and milestone achievement!

We proudly congratulates AI Team Lead Usama Athar on securing the prestigious DAAD Fully Funded PhD Studentship in Germany.

During his time at Machine Vision and Intelligent Systems Lab, Usama played a pivotal role in shaping our research direction under the guidance of Prof. Dr. Muhammad Moazam Fraz and Dr. Zuhair Zafar. His contributions to AI4EO, computer vision, and vision-language modeling have left a lasting impact.

This achievement is a testament to his academic excellence and the mentorship provided at the lab.

We wish him the very best in this next chapter of his research career.

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:

In the world of Artificial Intelligence, bigger isn't always better. For vocational training, we need models that are efficient, fast, and experts in specific trades—not just general knowledge.

We are pleased to announce the researchers from 𝐌𝐚𝐜𝐡𝐕𝐈𝐒 𝐋𝐚𝐛 who are building these specialized engines for the 𝐁𝐚-𝐈𝐤𝐡𝐭𝐢𝐲𝐚𝐫 𝐉𝐚𝐰𝐚𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭.

𝐒𝐩𝐞𝐚𝐤𝐞𝐫𝐬: 𝐌𝐬. 𝐀𝐝𝐞𝐞𝐥𝐚 & 𝐌𝐫. 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐍𝐚𝐛𝐞𝐞𝐥 (Researchers, MachVIS Lab, NUST SEECS)

𝐓𝐨𝐩𝐢𝐜: “𝐒𝐦𝐚𝐥𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐟𝐨𝐫 𝐃𝐨𝐦𝐚𝐢𝐧-𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐐𝐮𝐞𝐫𝐢𝐞𝐬”

While everyone talks about Massive LLMs, Ms. Adeela and Mr. Nabeel will explain why Small Language Models (SLMs) are the game-changer for this project. They will demonstrate how they are fine-tuning these models to answer complex technical queries—from automotive repair to electrician guides—with high accuracy and low computing costs.

𝐊𝐞𝐲 𝐃𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐨𝐧 𝐏𝐨𝐢𝐧𝐭𝐬:

1. Efficiency: Running powerful AI on local devices without needing expensive supercomputers.

2. Domain Expertise: Training models specifically on technical vocational datasets.

3. Accuracy: Reducing hallucinations to ensure students get safe and correct technical advice.

Join 𝐌𝐚𝐜𝐡𝐯𝐢𝐬, 𝐍𝐔𝐒𝐓, and our partners to explore the cutting edge of efficient AI.

Funded by : DAAD German Academic Exchange Service

Partners: RPTU Kaiserslautern-Landau , National University of Sciences and Technology (NUST), Machine Vision and Intelligent Systems Lab , NUST School of Electrical Engineering & Computer Science

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

Organizers:

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

𝐒𝐏𝐄𝐀𝐊𝐄𝐑 𝐀𝐍𝐍𝐎𝐔𝐍𝐂𝐄𝐌𝐄𝐍𝐓:

How do we move away from a "one-size-fits-all" curriculum to a system that adapts to every single student? The answer lies in the intelligent application of AI.

We are proud to introduce the researchers from 𝐌𝐚𝐜𝐡𝐕𝐈𝐒 𝐋𝐚𝐛 who will be presenting this breakthrough technology at the 𝐁𝐚-𝐈𝐤𝐡𝐭𝐢𝐲𝐚𝐫 𝐉𝐚𝐰𝐚𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 workshop.

𝐒𝐩𝐞𝐚𝐤𝐞𝐫𝐬: 𝐌𝐬. 𝐈𝐬𝐫𝐚 𝐌𝐚𝐧𝐬𝐨𝐨𝐫 & 𝐌𝐫. 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐀𝐛𝐝𝐮𝐥𝐥𝐚𝐡 (Researchers, MachVIS Lab, NUST SEECS)

𝐓𝐨𝐩𝐢𝐜: “𝐀𝐈 𝐟𝐨𝐫 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠”

In this session, Isra and Abdullah will unveil the algorithms driving the project's learning platform. They will discuss how Artificial Intelligence is used to analyze student performance and automatically tailor the educational content to fit their unique needs.

𝐊𝐞𝐲 𝐃𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐨𝐧 𝐏𝐨𝐢𝐧𝐭𝐬:

1. Intelligent Profiling: Understanding the learner's strengths and weaknesses through data.

2. Smart Recommendations: How the system suggests specific modules to bridge skill gaps.

3. Adaptive Pathways: Creating a unique learning journey for every vocational trainee.

Join 𝐌𝐚𝐜𝐡𝐯𝐢𝐬, 𝐍𝐔𝐒𝐓, and our partners to witness the future of classroom technology.

Funded by : DAAD German Academic Exchange Service

Partners: RPTU Kaiserslautern-Landau , National University of Sciences and Technology (NUST), Machine Vision and Intelligent Systems Lab , NUST School of Electrical Engineering & Computer Science

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

Organizers:

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

𝐒𝐏𝐄𝐀𝐊𝐄𝐑 𝐀𝐍𝐍𝐎𝐔𝐍𝐂𝐄𝐌𝐄𝐍𝐓:

Building an AI system that can understand and translate complex technical manuals requires strong technical leadership. We are proud to introduce the engineering lead behind our core technology.

We are excited to have 𝐌𝐫. 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐃𝐚𝐰𝐨𝐨𝐝 𝐑𝐢𝐳𝐰𝐚𝐧, the 𝐓𝐞𝐚𝐦 𝐋𝐞𝐚𝐝 at 𝐌𝐚𝐜𝐡𝐕𝐈𝐒 𝐋𝐚𝐛, presenting at the 𝐁𝐚-𝐈𝐤𝐡𝐭𝐢𝐲𝐚𝐫 𝐉𝐚𝐰𝐚𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 workshop.

𝐒𝐩𝐞𝐚𝐤𝐞𝐫: 𝐌𝐫. 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐃𝐚𝐰𝐨𝐨𝐝 𝐑𝐢𝐳𝐰𝐚𝐧 (Team Lead, MachVIS Lab, NUST SEECS)

𝐓𝐨𝐩𝐢𝐜: “𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐕𝐨𝐜𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐧𝐭𝐞𝐧𝐭: 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 𝐨𝐟 𝐓𝐫𝐚𝐧𝐬𝐥𝐚𝐭𝐢𝐨𝐧 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐔𝐬𝐢𝐧𝐠 𝐃𝐢𝐠𝐢𝐭𝐢𝐳𝐞𝐝 𝐁𝐨𝐨𝐤 𝐒𝐜𝐚𝐧𝐬 𝐚𝐧𝐝 𝐁𝐢𝐥𝐢𝐧𝐠𝐮𝐚𝐥 𝐃𝐚𝐭𝐚𝐬𝐞𝐭𝐬”

As the Team Lead, Mr. Muhammad Dawood Rizwan is orchestrating the development of the AI pipeline that powers this project. He will provide a technical deep-dive into:

The OCR Pipeline: The challenges of digitizing vintage technical books and converting them into clean data.

Dataset Architecture: Leading the creation of Pakistan’s first specialized bilingual dataset for vocational terminology.

The Translation Engine: How his team is fine-tuning models to ensure that technical accuracy is preserved during translation from German/English to Urdu.

This is a must-attend session for those interested in the engineering architecture behind large-scale EdTech projects.

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

Organizers:

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

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