Malik Awan, MSc

Area of Study / Keywords

Pavement Engineering Construction Engineering and Management

About

I am a Pavement and Management Engineer with an MSc in Construction Engineering & Management from the University of Alberta. My 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 deflection data to evaluate and predict pavement performance in challenging cold climates.

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

I hold a BSc in Civil and Environmental Engineering from COMSATS University Islamabad, where I received the Dean’s Gold Medal for academic and teaching excellence.

Currently, as an incoming Engineer-in-Training (E.I.T.) and an active member of the Canadian Technical Asphalt Association (CTAA), I bring practical experience in construction materials, pavement instrumentation, and project coordination. My goal is to advance sustainable and intelligent transportation infrastructure through innovative, data-driven solutions.

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

• Infrastructure resilience in cold climates

• Data-driven and AI-based infrastructure optimization