Rayan H. Assaad
Rayan H. Assaad
Assistant Professor, Civil & Environmental Engineering
207 Colton Hall
About Me
Rayan H. Assaad is the founding director of the Smart Construction and Intelligent Infrastructure (SCIIS) Lab at NJIT (https://sciis.njit.edu/). Dr. Assaad is an Assistant Professor at the Civil and Environmental Engineering Department at NJIT. Dr. Assaad’s research interests span over different multi-disciplinary areas, including infrastructure asset management of above and underground systems; sustainability, resilience, and environmental impacts of infrastructure facilities; computational methods and applied machine learning; and modeling, simulation, and optimization of infrastructure and construction operations. Dr. Assaad's research lab focuses on intelligent infrastructure systems; efficient system performance and innovative facility maintenance, repair, and rehabilitation; and next-generation technologies such as internet of things, construction robots, sensing technologies, and virtualization. Dr. Assaad previously worked as a project manager responsible for the rehabilitation and maintenance of large commercial and residential projects. Dr. Assaad has authored and co-authored more than 32 peer-reviewed journal and conference papers as well as two book chapters. Dr. Assaad has received numerous awards for his research, service, innovation, and leadership. Dr. Assaad is actively involved with the American Society of Civil Engineers and the Associated General Contractors of America, among other professional organizations.
Education
Ph.D.; Missouri University of Science and Technology; Civil Engineering; 2021
M.E.; American University of Beirut; Engineering Management; 2018
B.E.; American University of Beirut; Civil and Environmental Engineering; 2016
M.E.; American University of Beirut; Engineering Management; 2018
B.E.; American University of Beirut; Civil and Environmental Engineering; 2016
Awards & Honors
2023 Outstanding Reviewer Award , Journal of Built Environment Project and Asset Management
2022 Outstanding Reviewer Award , American Society of Civil Engineers (ASCE) Journal of Management in Engineering
2021 Academic Excellence Award, Missouri University of Science and Technology
2021 Distinguished Research and Innovation Excellence Award, Missouri University of Science and Technology
2021 Key Contributor Award, Missouri University of Science and Technology
2022 Outstanding Reviewer Award , American Society of Civil Engineers (ASCE) Journal of Management in Engineering
2021 Academic Excellence Award, Missouri University of Science and Technology
2021 Distinguished Research and Innovation Excellence Award, Missouri University of Science and Technology
2021 Key Contributor Award, Missouri University of Science and Technology
SHOW MORE
Website
2023 Fall Courses
CE 727 - INDEPENDENT RESEARCH III
CE 790A - DOCT DISSERTATION & RES
CE 792 - PRE-DOCTORAL DISSERTATION
CE 612 - APPLIED ML CIVIL ENGINEERING
CE 490 - CIVIL ENGR PROJECTS
CE 700B - MASTERS PROJECT
CE 725 - INDEPENDENT STUDY I
CE 491 - RESEARCH EXPER-CIVIL ENGR
CE 726 - INDEPENDENT STUDY II
CE 790A - DOCT DISSERTATION & RES
CE 792 - PRE-DOCTORAL DISSERTATION
CE 612 - APPLIED ML CIVIL ENGINEERING
CE 490 - CIVIL ENGR PROJECTS
CE 700B - MASTERS PROJECT
CE 725 - INDEPENDENT STUDY I
CE 491 - RESEARCH EXPER-CIVIL ENGR
CE 726 - INDEPENDENT STUDY II
Teaching Interests
- Applied Machine Learning
- Infrastructure Resilience and Sustainability
- Infrastructure Asset Management
- Modeling, Simulation, and Optimization
- Automation and Technologies in Construction
- Infrastructure Resilience and Sustainability
- Infrastructure Asset Management
- Modeling, Simulation, and Optimization
- Automation and Technologies in Construction
Past Courses
CE 702: SPECIAL TOPICS IN CIVIL ENGINEERING
CE 791: GRADUATE SEMINAR
CE 791: GRADUATE SEMINAR
Research Interests
Dr. Assaad's research interests are related to sustainable infrastructure systems, construction engineering, project management, and technologies. Dr. Assaad's research interests include:
- Sustainable, Resilient, and Intelligent Infrastructure Systems: Disaster Management and Recovery, Assessment of Deterioration Conditions of Infrastructure Assets, Inspection-Free and Data-Driven Maintenance Decisions, Technology-Driven Rehabilitation and Repair, Smart Cities and Transportation.
- Data Science and Computational Analytics: Artificial Intelligence, Machine Learning, Soft Computing, Data Mining, Deep Learning.
- Innovative Technologies: Emerging Materials, Automation, Robotics, Sensing Technologies, Virtualization, Internet of Things (IoTs), Green Technologies, Offsite Manufacturing.
- Optimization, Modeling, and Simulation: Agent-Based Modeling, Mathematical and Statistical Models, Deterministic and Stochastic Optimization, System Dynamics, Monte-Carlo, Discrete-Event Simulation.
- Multi-Agent Systems: Interacting Intelligent Agents, Resilient and Sustainable Communities, Game theory, Systems-of-Systems, Self-Organized System.
- Novel Project Management Methods: Accelerated Project Delivery Solutions, Project Performance and Control, Risk Management.
- Workforce- and Workplace-related Aspects: Productivity, Health and Safety, Skill Set, Training Practices, Business Operations, Financial Performance.
- Contracting: Bid Decision-making, Project Procurement Methods, Sub-contracting, Contractual Guidelines, Commercial and Legal Considerations, Dispute Mitigation and Resolution.
- Sustainable, Resilient, and Intelligent Infrastructure Systems: Disaster Management and Recovery, Assessment of Deterioration Conditions of Infrastructure Assets, Inspection-Free and Data-Driven Maintenance Decisions, Technology-Driven Rehabilitation and Repair, Smart Cities and Transportation.
- Data Science and Computational Analytics: Artificial Intelligence, Machine Learning, Soft Computing, Data Mining, Deep Learning.
- Innovative Technologies: Emerging Materials, Automation, Robotics, Sensing Technologies, Virtualization, Internet of Things (IoTs), Green Technologies, Offsite Manufacturing.
- Optimization, Modeling, and Simulation: Agent-Based Modeling, Mathematical and Statistical Models, Deterministic and Stochastic Optimization, System Dynamics, Monte-Carlo, Discrete-Event Simulation.
- Multi-Agent Systems: Interacting Intelligent Agents, Resilient and Sustainable Communities, Game theory, Systems-of-Systems, Self-Organized System.
- Novel Project Management Methods: Accelerated Project Delivery Solutions, Project Performance and Control, Risk Management.
- Workforce- and Workplace-related Aspects: Productivity, Health and Safety, Skill Set, Training Practices, Business Operations, Financial Performance.
- Contracting: Bid Decision-making, Project Procurement Methods, Sub-contracting, Contractual Guidelines, Commercial and Legal Considerations, Dispute Mitigation and Resolution.
Journal Article
Hu, Xi, & Hassane Assaad, Rayan (2023). Improving the Predictive Analytics of Machine-Learning Pipelines for Bridge Infrastructure Asset Management Applications: An Upstream Data Workflow to Address Data Quality Issues in the National Bridge Inventory Database. Journal of Bridge Engineering, 29(1), 04023103.
Hu, Xi, & Hassane Assaad, Rayan, & Hussein, Mohab (2023). Discovering key factors and causalities impacting bridge pile resistance using Ensemble Bayesian networks: A bridge infrastructure asset management system. Expert Systems with Applications, 238, 121677.
Kolawole, Oladoyin, & Hassane Assaad, Rayan, & Adams, Matthew, & Ngoma, M, & Anya, A, & Assaf, G (2023). Coupled Experimental Assessment and Machine Learning Prediction of Mechanical Integrity of MICP and Cement Paste as Underground Plugging Materials. Biogeotechnics, 1(2), 1-9.
Kolawole, Oladoyin, & Hassane Assaad, Rayan (2023). Modeling and Prediction of Temporal Biogeomechanical Properties Using Novel Machine Learning Approach. Rock Mechanics and Rock Engineering, 56(8), 5635 - 5655.
Hassane Assaad, Rayan, & Mohammadi, Mohsen, & Chang, Aichih (2023). An IoT-Enabled Sensing Device to Quantify the Reliability of Shared Economy Systems Using Intelligent Sensor Fusion Building Technologies. Buildings, 13(9), 2182.
Hu, Xi, & Hassane Assaad, Rayan, & Hussein, Mohab (2023). Discovering key factors and causalities impacting bridge pile resistance using Ensemble Bayesian networks: A bridge infrastructure asset management system. Expert Systems with Applications, 238, 121677.
Kolawole, Oladoyin, & Hassane Assaad, Rayan, & Adams, Matthew, & Ngoma, M, & Anya, A, & Assaf, G (2023). Coupled Experimental Assessment and Machine Learning Prediction of Mechanical Integrity of MICP and Cement Paste as Underground Plugging Materials. Biogeotechnics, 1(2), 1-9.
Kolawole, Oladoyin, & Hassane Assaad, Rayan (2023). Modeling and Prediction of Temporal Biogeomechanical Properties Using Novel Machine Learning Approach. Rock Mechanics and Rock Engineering, 56(8), 5635 - 5655.
Hassane Assaad, Rayan, & Mohammadi, Mohsen, & Chang, Aichih (2023). An IoT-Enabled Sensing Device to Quantify the Reliability of Shared Economy Systems Using Intelligent Sensor Fusion Building Technologies. Buildings, 13(9), 2182.
SHOW MORE
Chapter
Kolawole, Oladoyin, & Hassane Assaad, Rayan, & Ngoma, M, & Ozotta, O (2023). An Artificial Neural Network Model for Predicting Microbial-Induced Alteration of Rock Strength, E. Rathje, B.M. Montoya, & M.H. Wayne (Eds.), American Society of Civil Engineers. (pp. 243 - 251). American Society of Civil Engineers
El-Adaway, Islam, & Hassane Assaad, Rayan (2022). State-of-the-Art Research in the Area of Artificial Intelligence with Specific Consideration to Civil Infrastructure, Construction Engineering and Management, and Safety, CRC Press. (pp. 140--160). CRC Press
El-Adaway, Islam, & Hassane Assaad, Rayan (2022). State-of-the-Art Research in the Area of Artificial Intelligence with Specific Consideration to Civil Infrastructure, Construction Engineering and Management, and Safety, CRC Press. (pp. 140--160). CRC Press
Conference Paper
A Dynamic Agent-Based Optimization Model for Green Infrastructure Maintenance: Addressing Flooding Risks with a Focus on Permeable Pavements
June 2023
A Fuzzy Model and Decision-Support Tool for Assessing and Predicting the Probability of Bankruptcy of Construction Companies
June 2023
An Agent-Based Cellular Automaton Simulation Model to Study the Worker Safety Behavior on Construction Sites: The Impacts of Different Social Influence Rules
June 2023
An Intelligent IoT Device for Real-Time Cloud-Based Tracking of the Terms of Service in Smart Cities
June 2023
Assessing the Vulnerability of Communities Exposed to Climate Change-Related Challenges Caused by the Urban Heat Island Effect Using Machine Learning
June 2023
June 2023
A Fuzzy Model and Decision-Support Tool for Assessing and Predicting the Probability of Bankruptcy of Construction Companies
June 2023
An Agent-Based Cellular Automaton Simulation Model to Study the Worker Safety Behavior on Construction Sites: The Impacts of Different Social Influence Rules
June 2023
An Intelligent IoT Device for Real-Time Cloud-Based Tracking of the Terms of Service in Smart Cities
June 2023
Assessing the Vulnerability of Communities Exposed to Climate Change-Related Challenges Caused by the Urban Heat Island Effect Using Machine Learning
June 2023
SHOW MORE
Other
Innovative modeling and management of infrastructure systems, engineering and construction operations, and offsite construction technology using computational data analytics
Missouri University of Science and Technology, September 2021
Missouri University of Science and Technology, September 2021