Siddharth Banerjee

Dr. Siddharth Banerjee is a Civil Engineering educator and researcher specializing in construction management, project risk analysis, and applied data analytics. His academic career includes four years as a university professor in the United States, where he served as an Assistant Professor of Civil Engineering at California State Polytechnic University, Pomona for three years, and an Assistant Professor in Residence at Bradley University. He holds a Ph.D. in Civil Engineering with a concentration in Construction Engineering and Management from North Carolina State University, alongside a Graduate Minor in Applied Statistics.

Dr. Banerjee’s research and teaching bridge traditional civil engineering with cutting-edge data science, artificial intelligence, and statistical risk modeling. As a certified ASCE ExCEEd Fellow in engineering pedagogy and an AGC Robert L. Bowen Industry Resident Fellow, he combines world-class instructional design with direct, hands-on insights from U.S. construction operations.

His research focuses on leveraging natural language processing (NLP), text analytics, and machine learning to solve complex challenges in construction risk management, operational workflow automation, and infrastructure resilience.

• From August 2017 – August 2022: Ph.D., North Carolina State University, Raleigh, USA
  Dissertation/Thesis Title: Developing an Organization-Wide Knowledge Repository with Intelligent Knowledge Transference to Enhance Construction Project Outcomes.
  Supervisor: Dr. Edward J. Jaselskis
• From January 2009 – May 2011: MS, Arizona State University, Tempe, USA
• From September 2002 – To May 2006: BE, Osmania University, India

• Banerjee, S., Potts, C. M., Jhala, A. H., and Jaselskis, E. J., “Developing a Construction Domain–Specific Artificial Intelligence Language Model for NCDOT’s CLEAR Program to Promote Organizational Innovation and Institutional Knowledge,” Journal of Computing in Civil Engineering, 2023, DOI: 10.1061/JCCEE5.CPENG-4868
• Fullerton, C. E., Tamer, A. W., Banerjee, S., Alsharef, A. F., and Jaselskis, E. J., “Development of North Carolina Department of Transportation’s CLEAR Program for Enhanced Project Performance,” Transportation Research Record: Journal of the Transportation Research Board, 2021, DOI: 10.1177/0361198121995195
• Alsharef, A., Banerjee, S., Uddin, S. M. J., Albert, A., and Jaselskis, E., “Early Impacts of the COVID-19 Pandemic on the United States Construction Industry,” International Journal of Environmental Research and Public Health, 2021, DOI: 10.3390/ijerph18041559
• Banerjee, S., Jaselskis, E. J., and Alsharef, A., “Design for Six Sigma (DFSS) Approach for Creating CLEAR Lessons Learned Database,” Periodica Polytechnica Architecture, 2020, DOI: 10.3311/PPar.15442

• June 2026 – Present: Associate Professor, Department of Civil Engineering, Mahindra University, Hyderabad, Telangana, India
• May 2025 – August 2025: AGC Robert L. Bowen Industry Resident Fellow, CSI Electrical Contractors Inc., Santa Fe Springs, California, USA
• August 2023 – May 2026: Assistant Professor, Department of Civil Engineering, California State Polytechnic University, Pomona, California, USA
• August 2022 – May 2023: Assistant Professor in Residence, Department of Civil Engineering and Construction, Bradley University, Peoria, Illinois, USA
• August 2017 – August 2022: Graduate Teaching and Research Assistant, Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, North Carolina, USA
• August 2011 – June 2017: Assistant Professor, Department of Civil Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India

Dr. Banerjee’s research sits at the intersection of Construction Engineering and Management (CEM), Artificial Intelligence, and Applied Data Analytics. His work focuses on transforming unstructured project data into actionable intelligence, enhancing human-computer interaction (HCI) in engineering environments, and building organizational resilience across infrastructure project life cycles.

Core Research Pillars

1. Artificial Intelligence & Text Analytics in Construction

• Domain-Specific AI & Language Models: Developing customized Natural Language Processing (NLP) models and semantic retrieval algorithms trained on construction domain vocabulary (e.g., contract documents, standard specifications, and project claim records).
• Automated Knowledge Transference: Leveraging machine learning to automate the extraction, categorization, and retrieval of lessons learned and best practices to prevent repetitive project delays, budget overruns, and dispute risks.

2. Enterprise Knowledge Management & Digital Dashboards

• Knowledge Repository Architecture: Applying Design for Six Sigma (DFSS) frameworks to design and implement organization-wide knowledge repositories (such as the NCDOT CLEAR Program) that capture institutional memory from field personnel and project managers.
• Interactive Data Visualization: Creating executive monitoring dashboards in Tableau, Power BI, and web environments to track real-time project metrics, innovation indexes, and time-critical operational interventions.

3. Construction Risk Modeling & Workforce Resiliency

• Quantitative Risk & Disruption Management: Assessing the impacts of macro-environmental disruptions (e.g., global pandemics, regulatory policy shifts, and supply chain constraints) on infrastructure performance and schedule reliability.
• Workforce Retention & Process Automation: Exploring digital transformation strategies and workflow automation to mitigate institutional knowledge loss caused by workforce turnover and demographic shifts in transportation and heavy-civil engineering sectors.

Current Research Focus

Dr. Banerjee is currently expanding his research into Large Language Model (LLM) fine-tuning for domain-specific infrastructure applications, smart infrastructure risk monitoring, and integrating generative AI with building information modeling (BIM) platforms to streamline pre-construction planning, project controls, and decision-support systems. Dr. Banerjee actively collaborates on interdisciplinary research initiatives and welcomes national and international academic partnerships, joint research endeavors, and graduate student mentorship across construction tech, engineering analytics, and smart infrastructure systems.