Malik Awan, MSc

Area of Study / Keywords

Pavement Engineering Construction Engineering and Management Machine Learning Reinforcement Learning

About

Malik is a Pavement Design and Management Engineer with an MSc in Civil and Environmental Engineering from the University of Alberta. His thesis, “A Hybrid Approach to Pavement Performance Prediction in Cold Regions: Machine Learning and Falling Weight Deflectometer Analysis,” focuses on integrating AI techniques with field-based pavement data to evaluate and predict pavement performance in challenging cold climates.

As part of the NRC’s AI for Logistics Program, he contributed to developing self-monitoring smart road systems that leverage dynamic sensors and advanced data modelling. His work bridges traditional pavement evaluation methods with machine learning to enable more accurate and proactive infrastructure management.

He holds a BSc in Civil and Environmental Engineering from COMSATS University Islamabad, where he received the Dean’s Gold Medal.

Research

• Pavement performance prediction and evaluation

• Machine learning applications in civil engineering

• Falling Weight Deflectometer (FWD) data analysis

• Smart infrastructure and self-monitoring road systems

• Pavement instrumentation and sensor technologies

• Construction materials and pavement management

Teaching

CIVE- 391 Civil Engineering Materials (TA) 2024-2025