School of Interdisciplinary Engineering & Sciences

AIMS Lab

The Artificial Intelligence for Mechanical Systems (AIMS) Laboratory integrates AI, optimization algorithms, and advanced manufacturing techniques to solve complex engineering challenges. The lab works across multiple interdisciplinary domains, including scalable manufacturing systems, renewable energy technologies, thermal comfort modeling, condition monitoring, and adaptive design frameworks. Current projects span AI-powered building systems, probabilistic occupancy modeling, and heat exchanger enhancements.
The AIMS Lab supports both experimental and computational research, enabling the development of data-driven mechanical systems that enhance performance, sustainability, and reliability.

PI Profiles

PI- Dr. Syed Maaz Hasan

Assistant Professor at NUST School of Mechanical and Manufacturing Engineering (SMME). PI of the Artificial Intelligence for Mechanical Systems (AIMS) Lab in SINES. Dr. Hasan specializes in manufacturing systems, particularly focusing on scalable systems and process planning. He holds a PhD in Mechanical Engineering from NUST and has a strong background in system modeling, optimization, and the integration of AI in mechanical systems.

PI- Dr. Yasar Ayaz

Professor at NUST School of Mechanical and Manufacturing Engineering (SMME). PI of the National Center of Artificial Intelligence (NCAI) at NUST. Dr. Ayaz’s research interests include renewable energy, energy systems, and artificial intelligence in energy applications. He has contributed significantly to sustainable energy technologies and their application in mechanical systems.

Projects

  1.     HEC NRPU 10462
  2.    AIMS funded by NCAI
  3.    IOSE Funded by NCBC

Expertise/Capabilities of Lab

  • Advanced thermal performance evaluation of heat exchangers and HVAC systems.
  • AI-based optimization and control for mechanical systems.
  • Development of energy-efficient and sustainable systems.
  • Experimental testing and simulation of renewable energy technologies (solar, wind).
  • Modeling and simulation of fluid dynamics in complex systems.

Lab Equipment/Resources

  1.       Solar Simulator
  2.      HVAC Test Bench
  3.      Heat Exchanger Test Bench
  4.      Envy Tech Devices
  5.      Air Quality Monitoring Devices
  6.      Power Quality Monitoring Devices

Human Resource

Typical Enrollment of lab researchers: 6-8 MS/PhD researchers

Contact Us

Dr. Syed Maaz Hasan
Email: [email protected]