Alex Tsolovikos Email & Phone Number

Mountain View, California, United States

Calibration, localization, and mapping for off-road autonomy

Austin, Texas, United States

• Design model predictive control algorithms for high-dimensional systems, such as turbulent flows.
• Develop algorithms for data-driven stochastic optimal control of nonlinear systems using variational Gaussian process regression models.
• Incorporate dynamics-aware Gaussian process regression with transformers for motion prediction in PyTorch.
• Collaborate on a cross-functional team of controls and fluid physics researchers from three universities with the goal of developing novel flow control algorithms.
• Train and mentor undergraduate and graduate students in the Aerospace Engineering department.

• Courses: Linear Systems, Low-Speed Aerodynamics Lab, Compressible Flows, Applied Aerodynamics
• Tasks: Teaching, lecturing, grading, and holding office hours

Agoura Hills, California, United States

• Created a Python toolbox for object detection from low-level radar data with a modular design, enabling the combination of common deep learning components (backbones, heads, loss functions) from computer vision.
• Trained and compared the performance of more than ten object detection frameworks on radar data, leading to an increase in average precision of vehicle classes over the previously-used models.

Agoura Hills, California, United States

Implemented a radar-based simultaneous localization and mapping (SLAM) framework for the Road Model team in ROS using pose graphs to create a continuously updating radar occupancy grid map (C++/Python).

Agoura Hills, California, United States

Developed a sensor fusion framework for lane marker estimation from vision, HD maps, GNSS, and odometry, along with data pipelines and visualization tools in Python, leading to more accurate ground truth estimates.

Athens, Greece

Developed computational geometry tools in C++ using the computational geometry algorithms library CGAL and integrated with industrial aerodynamic shape optimization software.

Ms/Phd, Aerospace, Aeronautical And Astronautical Engineering, 4.00/4.00

• MS/Ph.D. student, Department of Aerospace Engineering and Engineering Mechanics. • GPA: 4.00/4.00 • Onassis Foundation Ph.D. Scholar •.

Master Of Engineering - Meng, Mechanical Engineering, 9.06/10.00

Activities and Societies: Parallel CFD and Optimization Unit • EUROAVIA Athens • AIESEC• BSc & MSc in Mechanical Engineering; 5-year joint.