I am a dual major Ph.D. candidate in Civil Engineering and Computer Science at Michigan State University under the supervision of Dr. Nizar Lajnef and Dr. Vishnu Boddeti.

Research Interests: Machine Learning, Deep Learning, Finite Element Analysis, Structural Health Monitoring

Current Projects:

• Bridging Finite Element and Deep Learning
• Deep Learning Paradigm for Prediction of Stress Distribution
• Integrating Dynamic Finite Element Analysis and Attention Transformers

Computer Skills: Python, Matlab

Deep Learning: Pytorch

Selected Research Papers:

• Deep Learning Paradigm for Prediction of Stress Distribution in Damaged Structural Components with stress concentrations (under review)

• Integrating Dynamic Finite Element Analysis and Deep Learning to Predict Stress Distribution in Structural Components (under review)

• A new predictive model for compressive strength of HPC using gene expression programming

• Development of prediction models for shear strength of SFRCB using a machine learning approach

• Multigene genetic programming for estimation of elastic modulus of concrete

• A novel data reduction approach for structural health monitoring systems

• Programmable assembly of bi-walled nonuniform beams: Concept, modeling, and performance

• Bond strength prediction of FRP-bar reinforced concrete: a multi-gene genetic programming approach

• Towards lateral performance of CBF with unwanted eccentric connection: A finite element modeling approach

• Tunable Postbuckling Systems of Bi-Walled Nonuniform Beams

• Numerical Study on the Impact of Out-of-Plane Eccentricity on Lateral Behavior of Concentrically Braced Frames