Aidin Tamhidi, Ph.D. Email & Phone Number

Menlo Park, Ca, Us

• Developed a computer vision pipeline using YOLO and SAM models to detect building vulnerabilities from Google Street View imagery• Engineered scalable machine learning models on Spark, processing large-scale dataset to predict portfolio damages from structural and earthquake features• Built ensemble ML models with probabilistic methods to extract insights from wind hazard datasets for improved risk assessment• Simulated stochastic wildfire footprints using Gaussian Process Regression to model non-stationary and anisotropic patterns• Implemented stochastic modeling techniques to simulate earthquake ground motion time series, aligning outputs with target spectra from Ground Motion Models

Los Angeles, California, United States

- Established a computer vision classification model to detect structural features, such as soft-story buildings and the number of stories, by automating the collection and analysis of an ensemble of street view images via Google API- Pioneered text mining on tweets to classify post-earthquake building damage states using NLP. This innovative approach aimed to automate the traditional in-person inspection process, showcasing the potential of social media analytics in enhancing emergency response and structural assessment efficiency.- Conducted conditioned simulations and performed comprehensive uncertainty quantification and sensitivity analyses of earthquake ground motion time series using Gaussian Process Regression- Executed a big data analysis of structural responses at a fine scale in near real-time, and developing a framework to assess damage states of building portfolios immediately following an earthquake. This work leveraged advanced data analytics to enable rapid, city-wide damage assessments, significantly enhancing emergency response strategies.

Los Angeles, California, United States

Los Angeles

Holding supplementary problem solving and programming classes and grading home works for course M20, Introduction to Computer Programming with MATLAB, CEE 245, Ground-Motion Characterization, CEE 125 Fundamentals of Earthquake Engineering, and CEE 103 Applied numerical computing and modeling in Civil Engineering.

Buffalo/Niagara, New York Area

Holding supplementary problem solving classes and grading home works for course Statics

Tehran

Holding supplementary problem solving classes and grading home works for course Introductory Earthquake Engineering Course

Tehran

Holding supplementary problem solving classes and grading home works for course Dynamics

Doctor Of Philosophy - Phd, Engineering

Minor in Computer Science

Master Of Science - Ms, Engineering

Bachelor Of Science - Bs, Engineering