About Me
AI Researcher & Developer
I'm a graduate student at Purdue University, specializing in computational science and engineering. My research focuses on developing innovative solutions at the intersection of artificial intelligence and structural engineering.
Currently working on advanced computer vision and deep learning algorithms for building structural digital twins in order to get a digital replica of the structure that could be used for structural health monitoring and damage detection. In addition, I am working on developing a novel deep learning approach for small object segmentation for plant and human disease detection.
Technologies I Work With
- Deep Learning
- Computer Vision
- PyTorch
- TensorFlow
- Neural Architecture Search
- MLOps
- Docker
- Azure
- Structural Engineering
- FEA
- Python
- C++
Education
MS in Computational Science and Engineering
Purdue University, West Lafayette, Indiana
08/2023 - 05/2025
- GPA: 4.0
- Relevant Courses: Deep Learning, Computer Vision, Image Based Sensing, Artificial Intelligence, Machine Learning
Experience
AI Graduate Research Assistant
Purdue University, IN
08/2023 - Present
- Attention-based deep learning algorithm for small object segmentation validated with tar spot detection in corn plants: Created a computer vision algorithm achieving IoU score in par with human experts
- Deep-learning driven structural digital twin: Developing a framework for structural health monitoring and damage detection through a digital twin built with physics-guided deep learning approach
Featured Projects
Tar Spot Detection in Corn Plants
Computer vision algorithm using attention-based deep learning and image processing to detect tar spot disease in corn plants. Achieved state-of-the-art IoU scores for tarspot detection and high performance on small object detection.
- Python
- PyTorch
- OpenCV
- Deep Learning
- CNNs
- Transformers
- CUDA
- HPC
Deep Learning-Driven Structural Digital Twin
Physics-guided neural network framework to build a Structural Digital Twin by enhancing finite element models by incorporating real-world structural responses, enabling accurate simulations under varying conditions.
- PyTorch
- Physics-Informed ML
- FEM
- Uncertainty Quantification
- Structural Dynamics
Other Projects
Research Publications
A collection of my research work in artificial intelligence, machine learning, and structural engineering. Hopefully, there are more to come!
Confined masonry in seismic regions: Application to a prototype building in Nepal
Acharya, O., Dahal, A., & Shrestha, K. C.
Vulnerability assessment of residential steel building considering soil structure interaction
Chaudhary, K., Shrestha, K. C., & Acharya, O.