News
- NEW! July 2025: Will be joining Doxel as a Full-Stack Developer, CA, USA.
- May 2025: Presented a talk on 'Exploring AI & AEC Synergy' at Autodeskai, San Francisco, CA, USA.[Slides]
- May 2025: Presented a talk on 'Applied AI in AEC' at Doxel.ai, Menlo Park, CA, USA.[Slides]
- April 2025: Participated in Smart Cities Start-up Challnege AI at Smart Cities Connect event in Texas, USA
- March 2025: Defended my Ph.D. Thesis on 'Converting Static P&IDs into Queryable Knowledge Graphs'
- March 2025: Our paper 'PIDQA—Question Answering on Piping and Instrumentation Diagrams' is published in Machine Learning & Knowledge Extraction
- March 2025: Our paper 'City-Scale Bike Lane Facility Management through LiDAR, Weakly Supervised Learning, and Dimensionality Reduction' is published in Journal of Computing in Civil Engineering
- December 2024: Presented a demo on IoT-enabled Predictive Maintenance of Hydraulic Strutures at Salt River Project, USA
- July 2024: Presenting at I3CE 2024, Pittsburgh, USA. [Paper]
- June 2024: Co-founded Street Counts. Street Counts is a Platform as a Service (PaaS) for monitoring traffic patterns using computer vision and machine learning.
- May 2024: Visiting Research Scholar in Stanford University in California, USA
- Feb 2024: Presented a Guest Lecture on Predictive Maintenance of Hydro Dams with Artificial Intelligence at Georgia Institute of Technology.[Slides]
- January 2024: Our paper 'Deep learning model for discomfort glare detection based on occupants facial analysis' is accepted in I3CE 2024
- December 2023: Our paper 'Semi-supervised symbol detection for piping and instrumentation drawings' is accepted in Automation in Construction
- June 2023: Starting as Machine Learnng Intern in Salt River Project in Arizona, USA
- May 2023: Presented a talk on Artificial Intelligence in Construction: Enhancing Efficiency and Experiential Learning at Georg Nemetschek Institute for Artificial Intelligence in the Built World at the Technical University of Munich
- December 2021: Our paper 'Automated Valve Detection in P&IDs' is accepted in I3CE 2022
- December 2022: Our paper on City-Scale Bike Lane Facility Management through LiDAR, Weakly Supervised Learning, and Dimensionality Reduction is accepted in I3CE 2023
- December 2022: Our paper on NeRF-vs-SfM is accepted in I3CE 2023
- May 2022: Starting as Research Intern in Chair of Computing in Civil and Building Engineering at TU Munich, Germany (working on 3D scene reconstruction using Structure-from-Motion (SfM) and Neural Radiance Fields (NeRF))
- December 2021: Our paper 'Automated Valve Detection in P&IDs' and 'Automated Wall Detection in 2D CAD Drawings to Create Digital 3D Models' are accepted in I3CE 2022
- August 2021: Joining Arizona State University as a Ph.D. Student in Civil Engineering and Machine Learning