Afaq Ahmad

Afaq Ahmad is a highly ambitious, innovative, and hardworking professional engineer with over 13 years of combined experience in design and research. Currently, he is working as Associate Professor at the University of Engineering & Technology Taxila. Founder of Scotant Engineer Consultant and member of Opti-Structure International. Currently, his research group is working on structural health monitoring through CNN and Image processing, prediction of reinforced concrete and composite material through Artificial Neural Networks. His published research work contains 45 peer-reviewed journal papers and 13 papers in international and national conferences, with a cumulative impact factor of 69+ and a ResearchGate score of 24. His research group is working with international research groups (Prof. Vagelis Plevris, Qatar University, Prof. Mohamed Elchalakani, University of Western Australia, Prof. Dr. Farid Abed, American University of Sharjah and Dr. Omar Alajarmeh, University of Southern Queensland).

Publications

Finding Width, Angle, Endpoint Length, and Actual Path Length of Cracks in Concrete Structures Using CNN and Image Processing
Finding Width, Angle, Endpoint Length, and Actual Path Length of Cracks in Concrete Structures Using CNN and Image Processing
Afaq Ahmad, Waqas Qayyam, Junaid Mir, Qasier-uz-Zaman Khan. © 2024. 21 pages.
The degradation of infrastructures such as bridges, highways, buildings, and dams has accelerated due to environmental and loading consequences. The most popular method for...
Predicting the Characteristics of Defects in Wood Structures Using Image Processing and CNN
Predicting the Characteristics of Defects in Wood Structures Using Image Processing and CNN
Afaq Ahmad, Rana Ehtisham ul Hassan, Junaid Mir, Qasier-uz-Zaman Khan. © 2024. 25 pages.
These defects can occur in the form of cracks, pain deterioration, dampness, etc. due to mechanical and weathering effects. Crack identification and categorization must be part...
Artificial Intelligence and Machine Learning Techniques for Civil Engineering
Artificial Intelligence and Machine Learning Techniques for Civil Engineering
Vagelis Plevris, Afaq Ahmad, Nikos D. Lagaros. © 2023. 385 pages.
In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to...
Reliability Analysis of RC Code for Predicting Load-Carrying Capacity of RCC Walls Through ANN
Reliability Analysis of RC Code for Predicting Load-Carrying Capacity of RCC Walls Through ANN
Afaq Ahmad, Demitrios M. Cotsovos. © 2023. 31 pages.
Over the past couple of decades, a significant rise in utilization of artificial neural network (ANN) in the field of civil engineering has been observed. ANNs have been proven...