Joseph Ballouz, Phd Email & Phone Number

Palo Alto, Ca, Us

Palo Alto, Ca, Us

AI stealth startup

Houston, Texas, United States

I conduct hydrological and hydraulic analysis on future developments, calculate detention requirements, and design the drainage system, for projects in the city of Houston, the greater Harris county, and surrounding counties in Texas. Additionally, I am the Civil engineering department team lead and manage the civil engineering work for our projects, as well as coordinate with other departments (architecture, platting, electrical & mechanical) to oversee the project execution from beginning to… Show more I conduct hydrological and hydraulic analysis on future developments, calculate detention requirements, and design the drainage system, for projects in the city of Houston, the greater Harris county, and surrounding counties in Texas. Additionally, I am the Civil engineering department team lead and manage the civil engineering work for our projects, as well as coordinate with other departments (architecture, platting, electrical & mechanical) to oversee the project execution from beginning to end. Show less

United States

During my PhD at Stanford university, I was a research assistant under Professor Nick Ouellette of the Environmental Complexity Lab. My research initially was experimental in nature and explored the turbulence properties in dilute polymer solutions via 3D particle tracking in a cylindrical tank with counter rotating disks at the top and bottom (we published one paper on this topic). The main topic for my PhD was theoretical in nature and based on the data analysis side where we explored the… Show more During my PhD at Stanford university, I was a research assistant under Professor Nick Ouellette of the Environmental Complexity Lab. My research initially was experimental in nature and explored the turbulence properties in dilute polymer solutions via 3D particle tracking in a cylindrical tank with counter rotating disks at the top and bottom (we published one paper on this topic). The main topic for my PhD was theoretical in nature and based on the data analysis side where we explored the fundamental properties of the turbulent cascade by adopting a unique mechanical/geometrical perspective. We tested these theories using data analysis tools (MATLAB) from data obtained from large turbulence simulations. I have three publications on this topic as a first author. You may also see my full thesis: 'On the Efficiency of the Turbulent Cascade' in my featured works.In addition, I completed two PhD minors from Stanford University. The first is a minor in Computer Science with an emphasis on machine learning, deep learning, convolutional neural networks for visual recognition, amongst others. I completed several interesting projects on these topics as listed below.Secondly, I completed a PhD minor in Computational and Mathematical engineering (ICME) from Stanford University. This focused on numerical solving of partial differential equations, optimization, numerical matrix operations, the theory of probability and statistics, amongst others.These PhD minors allowed me to broaden my horizons at Stanford, and thanks to my PhD advisor Nicholas Ouellette, I was able to take all these interesting and exciting courses, which complemented the quality of my PhD research. Show less

United States

I was the teaching assistant for the masters/undergrad level course CEE262E: Rivers, Streams and Canals, at Stanford University. My job consisted in hosting office hours throughout the week, hosting laboratory sessions, and grading homework and lab reports.

Pacific Earthquake Engineering Research Center

Summer training as part of the curriculum for the engineering degree at the American University of Beirut. I learned to analyze and and Fourier process seismic data. Specifically, the work was part of the project: "PEER Taiwan Motion Database for Subduction Events". Advisor: Dr. Yousef Bozorgnia. Supervisor: Tadahiro Kishida.

Doctor Of Philosophy - Phd, Environmental Fluid Mechanics

Research focused on fluid mechanics, turbulence, and chaos theory.

Phd Minor, Computer Science - Ml / Ai

Machine learning and deep learning specialization

Phd Minor, Computational And Mathematical Engineering

Master Of Science - Ms, Environmental Fluid Mechanics And Hydrology, 4.2/4.0

Environmental fluid mechanics specialization

Bachelor'S Degree, Civil And Environmental Engineering, 92.19/100

Graduated ranked 1st, and recipient of the Youssef Salam Civil Engineering Excellence Award.

High School Diploma

Specialization: Mathematics. Graduated ranked 1st.