Research lab
Artificial Intelligence and Smart Systems Lab
Research in artificial intelligence and the smart systems built on it.
The Artificial Intelligence and Smart Systems Lab (AIS² Lab) is a research group directed by Prof. Dr. Muhammad Mansoor Alam. It brings together PhD researchers, postdoctoral researchers and research collaborators working on artificial intelligence and its application in smart systems.
About the lab
Who we are
The Artificial Intelligence and Smart Systems Lab (AIS² Lab) is a research group working on artificial intelligence and the smart systems built on it. Its President is Prof. Dato' Dr. Mazliham Mohd Suud, President and Chief Executive Officer of Multimedia University, and it is directed by Prof. Dr. Muhammad Mansoor Alam, Professor of Computer Science at Riphah International University.
Our vision
To be a leading centre for research in artificial intelligence and smart systems, recognised for rigorous, openly published work that is useful to society and carried forward by the researchers it trains.
Our mission
Our aim is to carry out rigorous, openly published research in artificial intelligence and smart systems, and to train doctoral and postdoctoral researchers to do that work independently.
Leadership
Lab leadership

President · AIS² Lab
Prof. Dato' Dr. Mazliham Mohd Suud
President and Chief Executive Officer, Multimedia University
President and Chief Executive Officer of Multimedia University since August 2020; previously President and Chief Executive Officer of Universiti Kuala Lumpur (UniKL), 2013 – August 2020.

Director · AIS² Lab
Prof. Dr. Muhammad Mansoor Alam
Professor of Computer Science, Faculty of Computing, Riphah International University, Islamabad (2021–present)
Professor of Computer Science at Riphah International University, Islamabad, and an HEC Approved Supervisor. His research spans machine learning and artificial intelligence, intelligent decision support, computer vision, software-defined and wireless networks, and IoT, with more than 300 research articles across journals, book chapters and conferences.
What we work on
Research areas
Machine Learning and Artificial Intelligence
Supervised learning, neural networks and ensemble methods applied to prediction problems, from disease classification and sentiment analysis to flash-flood forecasting, renewable-energy systems and the role of AI in education.
Computer Vision and Image Processing
Robot vision, reverse image search, X-ray image enhancement, face-mask detection and aerial-imagery analysis for precision agriculture, combining classical local features with deep convolutional models.
Embedded Systems, Wireless Networks and IoT
Anomaly detection in IoT/MQTT networks, 5G resource allocation and LoRa, energy-efficient heterogeneous networks, RFID and WSN systems, dielectric-resonator antenna design, and wireless location estimation.
Intelligent Decision Support Systems
Decision support for healthcare, agriculture and business: survivability prediction, explainable AI in healthcare, smart-agriculture monitoring and control, and machine-learning risk models for firms.
Systems and Software Engineering
Risk prediction and management in global software development, fault tolerance and load balancing in cloud computing, and reliable, AI-driven load balancing for software-defined networks.
People
Researchers
Latest
News and events
No updates yet
News and upcoming events will be posted here.
Recent
Publications
SM Waqas, A Alim, K Talpur, MM Su’ud, Y Djenouri, SM Ali, MM Alam
Array, 100785 · 2026 · Journal article
N Gul, A Khan, MM Su'ud, MM Alam, D Skandri
Frontiers in Artificial Intelligence 9, 1828950 · 2026 · Journal article
S Nand, SHS Ali, S Musa, MM Su’ud
Engineering, Technology & Applied Science Research 16 (3), 35523-35528 · 2026 · Journal article
QU Ain, H Afzal, F Subhan, MM Suud, Y Jung
Big Data 14 (2), 122-136 · 2026 · Journal article