Machine Vision and Intelligent Systems Lab

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

𝐒𝐏𝐄𝐀𝐊𝐄𝐑 𝐀𝐍𝐍𝐎𝐔𝐍𝐂𝐄𝐌𝐄𝐍𝐓:

In the age of AI, the "one-size-fits-all" model of education is becoming obsolete. We need systems that adapt to the learner, not the other way around.

We are delighted to announce 𝐃𝐫. 𝐌𝐞𝐡𝐰𝐢𝐬𝐡 𝐅𝐚𝐭𝐢𝐦𝐚 𝐑𝐚𝐣𝐚 as a speaker for the 𝐁𝐚-𝐈𝐤𝐡𝐭𝐢𝐲𝐚𝐫 𝐉𝐚𝐰𝐚𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 workshop.

𝐒𝐩𝐞𝐚𝐤𝐞𝐫: 𝐃𝐫. 𝐌𝐞𝐡𝐰𝐢𝐬𝐡 𝐅𝐚𝐭𝐢𝐦𝐚 𝐑𝐚𝐣𝐚 (Assistant Professor, Dept of AI & Data Science, NUST SEECS)

𝐓𝐨𝐩𝐢𝐜: “𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐀𝐝𝐚𝐩𝐭𝐢𝐯𝐞 𝐚𝐧𝐝 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠”

With a PhD in Computational Linguistics from Heidelberg University and industry experience as a GenAI Architect at Educative Inc., Dr. Mehwish bridges the gap between deep research and scalable tech solutions.

She will explore:

LLMs in Education: Moving beyond chatbots to build intelligent tutoring systems.

Content Simplification: Using AI to translate complex technical concepts into local languages (Cross-lingual NLP).

Adaptive Curricula: How GenAI can dynamically adjust course difficulty based on student performance.

Join 𝐌𝐚𝐜𝐡𝐯𝐢𝐬, 𝐍𝐔𝐒𝐓, and our German partners to see how AI is rewriting the rules of teaching.

📅 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:

The disconnect between university curriculums and industry requirements is the biggest hurdle in Pakistan's workforce development. To solve this, we need honest feedback from the people doing the hiring.

We are proud to welcome 𝐄𝐧𝐠𝐫. 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐔𝐬𝐚𝐦𝐚 𝐐𝐚𝐦𝐚𝐫 from 𝐇𝐲𝐮𝐧𝐝𝐚𝐢 𝐍𝐢𝐬𝐡𝐚𝐭 𝐌𝐨𝐭𝐨𝐫𝐬 to the 𝐁𝐚-𝐈𝐤𝐡𝐭𝐢𝐲𝐚𝐫 𝐉𝐚𝐰𝐚𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 workshop.

𝐒𝐩𝐞𝐚𝐤𝐞𝐫: 𝐄𝐧𝐠𝐫. 𝐌𝐮𝐡𝐚𝐦𝐦𝐚𝐝 𝐔𝐬𝐚𝐦𝐚 𝐐𝐚𝐦𝐚𝐫 (Team Lead – Technical Training, Support & Warranty, Hyundai Nishat Motors)

𝐓𝐨𝐩𝐢𝐜: “𝐁𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 𝐆𝐚𝐩: 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲–𝐀𝐜𝐚𝐝𝐞𝐦𝐢𝐚 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐓𝐕𝐄𝐓”

As a Team Lead managing nationwide technical training for one of Pakistan's top automotive giants, Engr. MUHAMMAD USAMA QAMAR witnesses the skills gap firsthand every day. Having trained over 700+ technical staff and bridged the transition from academic theory (UET) to industry application (Hyundai/Suzuki), he brings practical solutions to the table.

𝐊𝐞𝐲 𝐃𝐢𝐬𝐜𝐮𝐬𝐬𝐢𝐨𝐧 𝐏𝐨𝐢𝐧𝐭𝐬:
1. Real-World Readiness: What technical skills are missing in fresh graduates?

2. Collaborative Models: How industries can actively shape TVET syllabi.

3. The Certification Advantage: The value of global certifications (like his HMC Korea credentials) over traditional degrees.

Join 𝐌𝐚𝐜𝐡𝐯𝐢𝐬, 𝐍𝐔𝐒𝐓, and 𝐃𝐀𝐀𝐃 to define a shared future for education and employment.

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

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