Prof. Moncef L. Nehdi is Dean of the College of Engineering and Physical Sciences, University of Guelph, Canada, Emeritus Professor at McMaster University and Western University, Canada, distinguished professor in the Lioning Institute of Technological Innovation, and Solid Waste Utilisation, and Visiting Professor at Henan Polytechnic University, China. He served as Chair of the Canadian Society for Civil Engineering (CSCE) – Materials and Mechanics Division, Co-Chair of the RILEM Concrete Data Science Committee, Chair of the CSCE Cement and Concrete Committee, Chair of the American Concrete Institute Recycled Materials Committee, and Infrastructure section Chair of the Natural Science and Engineering Research Council of Canada (NSERC) Discovery Grant Committee 1509. He also served as Associate Director for Environment Research Western, and as a Technical Manager for three international companies.

Prof. Nehdi is a Fellow of the Canadian Academy of Engineering, Engineering Institute of Canada, American Concrete Institute (ACI), Canadian Society for Civil Engineering (CSCE), Asia-Pacific Artificial Intelligence Association, and International Artificial Intelligence Industry Alliance (AIIA). He received numerous prestigious awards including: the Engineering Institute of Canada K.Y. LO Medal, ACI Sustainability Award, Engineering Medal for Research and Development from Ontario Professional Engineers; Ontario Premier’s Research Excellence Award; ACI Award for Professional Achievement; CSCE Horst Liepholz Medal, CSCE Whitman Wright Award; Bill Curtin Medal from the United Kingdom Institution of Civil Engineers; Faculty Fellow Award for Excellence in Engineering Education from the American Society of Engineering Education; Engineering Prize for Excellence in Teaching from Western University; along with several best paper awards and other recognitions. He has been invited as a distinguished keynote speaker in numerous international forums and conferences.

Prof. Nehdi’s scholarly and scientific research was used in high-profile construction projects in Canada and abroad, including some world landmark structures. He has been active in several technical committees of ACI, CSCE, RILEM, and a member of the editorial boards of several leading technical journals. He is also Canada’s leader in civil engineering professional development courses offered to practicing engineers. A prolific author with more than 500 peer-reviewed publications, he was listed in the world’s most impactful civil engineers by Elsevier and the Shanghai Global Ranking of Academic Subjects, and in the Stanford University ranking of the world’s top scientists. Prof. Nehdi’s research focuses on sustainable, eco-efficient, and NetZero construction, resilience of civil infrastructure, artificial intelligence, and machine learning in civil engineering, and innovative materials for construction and energy storage.

Prashant Kumar is a dedicated academician and researcher with over 12 years of experience in the field of Civil Engineering. He specializes in Reinforced Concrete Structures, Composite Materials, and the application of Machine Learning in structural engineering. Prashant holds a Master of Engineering degree in Structural Engineering from Thapar University, Punjab, and a Bachelor of Technology in Civil Engineering from Uttar Pradesh Technical University. His academic journey, marked by consistent excellence, began with his first division in both intermediate and matriculation under the CBSE board.

Since 2017, Prashant has been an Assistant Professor at COER University, Roorkee, India where he has played a pivotal role in teaching, research, and institutional development. His expertise and commitment were recognized with awards for his outstanding contributions to research and institutional growth in 2022 and 2023. Prior to COER University, he served as an Assistant Professor at Sharda University from 2012 to 2017, honing his skills in both teaching and research.

Prashant’s research interests are broad and multidisciplinary, spanning Concrete Technology, Fiber Reinforced Polymer (FRP), Fiber Reinforced Cementitious Matrix (FRCM), Corrosion, Retrofitting, Artificial Intelligence, and Machine Learning. His prolific research output includes numerous publications in renowned international journals, focusing on the prediction of structural behavior using advanced machine-learning techniques. He has contributed significantly to the understanding of the confined compressive strength of concrete columns, the flexural capacity of corroded beams, and the bond strength of FRP-reinforced concrete, among other areas.

In addition to his journal publications, Prashant has co-authored book chapters on forecasting compressive strength and assessing shear capacity of FRP-reinforced beams using AI, as well as presented his research at international conferences. His ongoing research projects continue to explore the application of machine learning and AI in structural engineering, demonstrating his commitment to advancing knowledge in this critical area.

Prashant’s technical skills include proficiency in MS Office, AutoCAD, MATLAB, STAAD Pro, and SketchUp, which he uses in his research and teaching. His academic achievements also include clearing the GATE exam, and he has been a Junior Research Fellow in the Civil Engineering Department of Thapar University.

Aman Kumar hails from Bilaspur, Himachal Pradesh, India. He holds a Master of Engineering degree in Construction Technology and Management from the prestigious National Institute of Technical Teacher's Training and Research Institute in Chandigarh, India. His academic journey is underscored by a deep passion for various facets of civil engineering, including sustainability development, non-destructive testing, concrete technology, and strengthening techniques such as fiber-reinforced polymer and fiber-reinforced cementitious matrix. He is also deeply engaged in exploring corrosion protection techniques for structural design, as well as the cutting-edge domains of artificial intelligence and the Internet of Things. Now his focus is to solve complex structural engineering problems with machine learning as well as deep learning algorithms. Aman Kumar's dedication to the field is evident through his extensive research endeavors and comprehensive technical surveys. His scholarly pursuits have culminated in numerous research papers and book chapters, which have been featured in esteemed international scientific publications. 

Mr. Kumar is actively involved in academic publishing and edited two major books on civil engineering topics: Application of Artificial Intelligence to Civil Engineering for Sustainable Construction (Elsevier, UK) and Damage Detection and Structural Health Monitoring of Concrete and Masonry Structures – Novel Techniques and Applications (Springer Nature, Singapore). He has published over 30+ peer-reviewed journal articles and several book chapters, covering topics like FRP-to-concrete bond strength, carbonation depth estimation in fly-ash-based concrete, and the use of machine learning models in structural health monitoring.

In addition to his academic and research accomplishments, Mr. Kumar has made significant contributions to the field of civil engineering through his hands-on experience in monitoring and maintaining critical infrastructure. He is committed to advancing the state of the art in civil engineering, particularly in the areas of eco-efficient construction, resilient infrastructure, and the integration of advanced materials for long-term durability and sustainability.