Computational Intelligence & Control Systems (C2I) Lab
The Computational Intelligence and Control Systems (C2I) Lab focuses on advancing intelligent algorithms, adaptive control systems, and data-driven methodologies to address complex engineering and societal challenges. The lab integrates theory, computation, and real-world applications.
Research Focus
- Computational Intelligence & Machine Learning
- Intelligent Control Systems
- Robotics & Autonomous Systems
- Optimization & Decision Support
- Cyber-Physical Systems
Current Projects
Adaptive Control for Smart Infrastructure
Developing intelligent control models to improve efficiency, resilience, and sustainability of critical infrastructure systems.
Adaptive Control for Smart Infrastructure
Developing intelligent control models to improve efficiency, resilience, and sustainability of critical infrastructure systems.
Adaptive Control for Smart Infrastructure
Developing intelligent control models to improve efficiency, resilience, and sustainability of critical infrastructure systems.
Past Projects
- Intelligent Traffic Signal Optimization System
- Fuzzy Control Models for Energy Systems
- AI-Based Predictive Maintenance Framework
- Autonomous Navigation Algorithms for Robotics
Principal Investigator
Engr. Aqeel Ur Rehman
Dr. Aqeel Ur Rehman is the Principal Investigator of the C2I Lab with research expertise in computational intelligence, control theory, and intelligent systems. He has led multiple national and international research projects.
C2I Lab Team
Name
Designation
Name
Designation
Name
Designation
Name
Designation
Collaborate with the C2I Lab
The C2I Lab welcomes academic, industry, and policy collaborations in areas aligned with its research focus.