Jonathan R. Cangelosi

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I am a Ph.D. candidate in the Department of Computational Applied Mathematics and Operations Research (CMOR) at Rice University in Houston, TX. I work under the supervision of Dr. Matthias Heinkenschloss on optimal control and surrogate modeling with aerospace applications. My research is sponsored by the Air Force Office of Scientific Research as part of AFOSR MURI Grant FA9550-22-1-0004. The project includes faculty, postdocs, and graduate students across several universities, including Stanford University, University of Minnesota, University of Notre Dame, and Rice University.

You can find my CV here.

Contact Information

• Office: Duncan Hall 2104, Rice University
• Email: jrc20@rice.edu

Education

• Ph.D., Computational and Applied Mathematics, Rice University, May 2025 (expected).
• M.A., Computational and Applied Mathematics, Rice University, December 2022.
• B.S., Mathematics with Honors, Louisiana State University, December 2019.
• B.S., Computer Science with Honors, Louisiana State University, December 2019.

Research Interests

• Trajectory optimization
• Sensitivity analysis
• Surrogate modeling

Research and Work Experience

• Graduate Researcher - Department of Computational Applied Mathematics and Operations Research at Rice University, Summer 2021-present
  • Ph.D. thesis: Adaptive surrogate model refinement framework for simulation and optimization of dynamical systems (in progress).
  • Master’s thesis: Trajectory optimization of hypersonic vehicles using pseudospectral collocation methods (defended December 2022).
• Technical Analyst - Center for Analytics and Research in Transportation Safety (CARTS) at Louisiana State University, Spring 2020
  • Reverse-engineered network screening and pattern recognition analysis tools used by the Louisiana Department of Transportation and Development (DOTD) and developed a comprehensive guide to analyze safety levels of roads and intersections using DOTD databases.

Publications and Preprints

• J. R. Cangelosi, M. Heinkenschloss, J. T. Needels, J. J. Alonso. Simultaneous Design and Trajectory Optimization for Boosted Hypersonic Glide Vehicles. AIAA Science and Technology Forum and Exposition (2024). https://doi.org/10.2514/6.2024-0375

• J. R. Cangelosi. Trajectory Optimization of Hypersonic Vehicles via a Radau Pseudospectral Method. Master’s thesis, Rice University (2022). Publically available at https://hdl.handle.net/1911/114902

Talks and Presentations

• J. R. Cangelosi, J. T. Needels. Simultaneous Design and Trajectory Optimization for Boosted Hypersonic Glide Vehicles. Technical paper presentation, AIAA SciTech 2024, 8 Jan. 2024, Orlando, FL.

• J. R. Cangelosi. Adaptive Gaussian Process Modeling for Trajectory Simulation with Model Inexactness. Minisymposium presentation, SIAM-TXLA 2023, 3 Nov. 2023, Lafayette, LA.

• J. R. Cangelosi. Trajectory Optimization of Hypersonic Vehicles via a Radau Pseudospectral Method. Poster presentation, SIAM-TXLA 2022, 5 Nov. 2022, Houston, TX.

Teaching Experience

• Teaching Assistant and Guest Lecturer - Department of Computational Applied Mathematics and Operations Research, Rice University
  • Differential equations in science and engineering, Fall 2022, Spring 2024.
• Lead Tutor - Center for Academic Success, Louisiana State University
  • Various math, computer science, and physics courses, Fall 2016-December 2019.

Service

• Undergraduate Student Mentor - Department of Computational and Applied Mathematics, Rice University, Spring 2024.

• Graduate Seminar Organizer - Department of Computational and Applied Mathematics, Rice University, Fall 2023-Spring 2024.

• Rice GSA Representative - Rice University, Fall 2023.

• AWM Math Nights Volunteer - Rice University, Fall 2021.

  • Tutored undergraduate students in calculus, matrix analysis, and differential equations.