Ph.D. & M.Phil. in Civil Engineering (Structures) August 2019 - December 2024
The City College of New York, CUNY
Dissertation: Data Driven Bridge Deck Deterioration Modeling and Maintenance Intervention Scheduling
Advisor: Dr. Anil K. Agrawal, Ph.D., P.E.

B.Tech in Civil Engineering (Honors.) July 2015 - May 2019
Indian Institute of Technology, Varanasi

Adjunct Assistant Professor

CE I3000: Structural Dynamics

Teaching Assistant

- SAP2000

Office hours

- CE 435: Dynamics of Civil Engineering Systems
- CE 401: Review of Civil Engineering Fundamentals
- CE 440: Finite Element Analysis of Structures

Graduate Research Associate

- Research Foundation of City University of New York (RFCUNY) August 2019 -December 2024

- Smart Sounding System for Autonomous Evaluation of Concrete Structures
  INSPIRE-University Transportation Center (INSPIRE-UTC) August 2019 - June 2024

• Designed and built a low-cost smart sensing device integrating MEMS microphones, Raspberry Pi, and a
• Bluetooth acoustic source to detect delamination in concrete decks.
• Programmed a Python-based system for data acquisition, advanced signal processing, and real-time visualization, deployed and tested on laboratory and field specimens.
• Conducted experimental validation by comparing device performance with traditional chain-drag and hammer methods, advancing portable structural health monitoring and sensing technologies.

- American Association of State Highway and Transportation Officials (AASHTO) and National
  Bridge Inventory (NBI) Element Deterioration Rates for Bridge Management System
  Connected Cities with Smart (C2Smart) Transportation Center October 2020 - December 2022

• Performed SQL/VBA queries for developing macros to automate the data cleaning, analysis and classification of different elements present in bridge inventory database having about 20,000 bridge inspection records.
• Designed computational models for bridge deck deterioration using Markov Chain, Weibull survival analysis and Accelerated Failure Time (AFT) models.
• Built a MATLAB desktop platform with 60+ features for deterioration prediction, data visualization, and model updating, providing agencies with a decision-support tool for budgeting and intervention planning, with built-in features to support for future database update.

- An Artificial Intelligence (AI) Based Overheight Vehicle Warning System for Bridges
  Connected Cities with Smart (C2Smart) Transportation Center February 2022 - August 2023

• A Developed a machine learning–powered vision system for overheight vehicle detection, integrating YOLOv8, vanishing point estimation, and 3D bounding box generation for real-time hazard detection.
• The module provides cost-effective installation on bridges for continuous monitoring and warning to prevent bridge strikes by overheight trucks.

Research Intern

- Seismic Displacement Demand of Curved Bridge in OpenSees
  The City College of New York (CUNY) - Online March 2018 - November 2018

• Modeled a 3DOF short span curved bridge in OpenSees to analyze its seismic response, incorporating non-linear soil behavior and dynamic characteristics.

- Behavior of Steel Plates in Fire
  Indian Institute of Technology, Hyderabad, India May 2018 - July 2018

• Conducted a parametric study in ABAQUS to investigate the effects of slenderness, temperature, imperfections, boundary condition, and materials using Eurocode and NIST under fire conditions.

• Grillage Analysis of Two Span Continuous Bridge: Performed grillage analysis and sensitivity studies on structural parameters to compare bridge girder responses with AASHTO load distribution methods.
   
• Stress Concentration Factor for Rectangular Filleted Bar: Investigated stress concentration in a Rectangular Filleted Plate using FEM, focusing on geometric discontinuities.
   
• High Rise Building Design and Analysis: This project involved designing and analyzing a 10-story and a 60-story building using ETABS, considering seismic and wind loads per IBC 2018 and ASCE 7-16 codes, with detailed modeling, member design, and schematic drawing outputs.
   
• Modifying the Given FEM Program to Include the Constant Strain Triangular Element: Modified MATLAB’s FEM code, originally supporting only quadrilateral elements, to include triangular elements, achieving consistent results with STAAD-Pro for stress concentration in a rectangular plate with grooves.
   
• Response History and Modal Analysis under El-Centro Earthquake: Performed response history analysis of an SDOF system under the El-Centro earthquake to determine maximum response and conducted modal analysis for a shear building using the Stodola method to calculate natural frequencies, mode shapes, and response.
   
• One-Way and Two-Way Slab Systems Design: Designed and analyzed both one-way and two-way slab systems, calculating material quantities and comparing the relative costs of each system per square foot.
   
• Two-Span Continuous Girder Design: Designed a two-span continuous girder with bearing stiffeners and connections, including moment and shear envelopes, material specifications, and a detailed sketch.
   
• Severstal Steel Defect Detection (Kaggle): Performed defect detection in Steel bars using simple Convolution Neural Networks and transfer learning with ResNet model, & applied segmentation for defect regions in image.

View All Publications on Google Scholar

Recent Publications

1. Invited Speaker, AI Applications for Intelligent Bridge Infrastructure Management ASCE SEI Metropolitan Section & NYSED Sponsor #6 Webinar (1 PDH), December 2025 (webinar)
    
2. Kumar, D., Agrawal, A. K. (2026). AFT–Weibull Modeling of Bridge Deck Deterioration with Optimized Censoring. Journal of Bridge Engineering, 31(9), 04026046. (DOI)
    
3. Kumar, D., Agrawal, A. K. (2025). Smart Acoustic Sounding for Automated Delamination Detection in Concrete Bridge Decks. International Journal of Bridge Engineering, Management and Research, 2(4), 214250033–1:214250033. (DOI)
    
4. Kumar, D., Agrawal, A. (2025). Advancing Bridge Infrastructure Management through Artificial Intelligence: A Comprehensive Review. International Journal of Bridge Engineering, Management and Research, 2(3), 214250021–1:18. (DOI)
    
5. Kumar, D. (2024). Data Driven Bridge Deck Deterioration Modeling and Maintenance Intervention Scheduling (Doctoral dissertation, The City College of New York).
    
6. Agrawal, A. K., Kumar, D. (2024). Smart Sounding System for Autonomous Evaluation of Concrete and Metallic Structures.
    
7. Agrawal, A., Kumar, D. (2023). An Artificial Intelligence (AI) Based Overheight Vehicle Warning System for Bridges.
    
8. Kumar, D., Agrawal, A.K., Cao, R., Zhan, L., Wei, J. (2023). Damage Detection in Concrete Slab Using Smart Sounding. In: Rizzo, P., Milazzo, A. (eds) European Workshop on Structural Health Monitoring. EWSHM 2022. Lecture Notes in Civil Engineering, vol 254. Springer, Cham. (DOI)