Scholar
Anto Ovid
Google Scholar ID: DHynLm0AAAAJ
PhD in Civil Engineering, North Carolina State University
Citations & Impact
Citations
194
H-index
5
i10-index
4
Publications
10
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Published: 'Leveraging ChatGPT to aid construction hazard recognition and support safety education and training'
- Published: 'ChatGPT as an educational resource for civil engineering students'
- Published: 'Biggest Challenges Facing the Construction Industry'
- Published: 'Meet2Mitigate: An LLM-powered framework for real-time issue identification and mitigation from construction meeting discourse'
- Published: 'Measuring Mental Fatigue in Construction: State of the Science and Future Opportunities'
- Published: 'Information Sources and Lessons Learned by Construction Organizations during the Early Months of the COVID-19 Pandemic'
Research Experience
- Summer 2025: Project Engineer, IPS-Integrated Project Services, Cary, NC
- Fall 2022: BIM/VDC Intern (4D BIM project monitoring), DPR Construction, Raleigh-Durham, NC
- Since 2018: Structural Designer & Project Engineer, Fresco Structures
- 2019–2021: Software Instructor, Cubik CADD, Tamil Nadu, India
- Spring 2019: Structural Designer & BIM Modeler, Swifterz Creative Services, Tamil Nadu, India
- Teaches Surveying lab at NC State
- Co-founded Fresco Structures to mentor and support students
Education
- 2022–2026: Ph.D. in Civil Engineering, North Carolina State University
- M.Eng. in Electrical Engineering, North Carolina State University (in progress)
- M.Eng. in Civil Engineering, North Carolina State University (in progress)
- 2015–2019: B.Eng. in Civil Engineering, Government College of Technology, Coimbatore – Anna University
- Ph.D. advisor: Dr. Alex Albert
Background
- Passionate about integrating cutting-edge technologies into civil engineering
- Research focuses on human-centered AI for safer, risk-aware construction
- Studies how optimization algorithms, sensors, and automation can improve all phases of construction: pre-construction design, on-site safety, and post-construction structural health monitoring
- Primary goal is to proactively reduce workplace injuries and save lives
- Current work spans natural language processing (NLP), computer vision (CV), large multimodal models, autonomous robots, and multi-agent AI systems
- Develops AI and robotic systems that understand job sites, navigate autonomously, monitor work, optimize tasks, automate processes, and train crews—using physics-informed digital twins, embodied AI agents, and expert assessments for reliability
