Fernando Camelli
- Associate Professor
Contact Info

- Name
- Dr. Fernando Camelli
- Job Title
- Associate Professor
- Phone Number
- Office Number
- Planetary Hall, Room 101C, MSN 3F3
Affiliations
Departments
- Physics & Astronomy Department (Instructional Faculty)
- Physics & Astronomy Department (Faculty)
Education
Ph.D. in Computational Sciences and Informatics, George Mason University, 2002
Undergraduate Studies in Physics, University of Buenos Aires, 1990
About
Dr. Fernando Camelli has conducted research on the transport and dispersion of pollutants in urban environments for over 20 years. His research interests include modeling intentional and accidental releases in densely populated areas, turbulence modeling for transport and dispersion processes, damage assessment, and both indoor and outdoor dispersion scenarios. He extensively applies Computational Fluid Dynamics (CFD) to study pollutant transport and dispersion and to optimize CFD tools for these applications.
Dr. Camelli has participated as a member of collaborative research consortia simulating dispersion patterns in New York City and has applied his expertise to ship superstructure design in collaboration with the U.S. Naval Research Laboratory (NRL). He has also initiated collaborative efforts with PI Lien focused on the rapid reconstruction of three-dimensional geometries for CFD simulations. His current research includes studies of subway climatology and the optimization of ventilation systems in wastewater treatment plants to mitigate the corrosive effects of sewage emissions.
Current Research
My research introduced the application of Computational Fluid Dynamics (CFD) to the study of transport and dispersion of pollutants in large urban environments. I have extensive experience in porting finite-element CFD codes across multiple high-performance computing (HPC) platforms and in developing scalable numerical methodologies for complex, real-world flow problems.
Computational Methodologies and Applications
I develop and apply advanced CFD models to analyze the transport and dispersion of contaminants in both urban and maritime environments. A significant component of this work focuses on the dispersion of gaseous emissions from ship stacks and their interaction with ship superstructures. These methodologies were applied to study flow fields and thermal effects for the San Antonio–class amphibious transport dock (LPD-17) and later extended to the T-AKE 1 class, a next-generation transport ship for the U.S. Navy. This research also included the identification and characterization of flow features in helicopter landing zones on ship decks, with direct implications for flight safety.
Data Development and Engineering Integration
I have led the development of specialized datasets to support applied research and operational tools, including datasets used in helicopter flight simulators for the LPD-17 platform. In parallel, I have contributed to engineering and technology development through the creation of algorithms that automate the extraction of building geometries and complex terrain from geospatial data. These algorithms significantly accelerate CAD reconstruction in dense urban environments and triangulated terrains. The resulting technologies have been integrated into FEFLO-PC, along with AT Planner and VAPO, as part of the research activities of the Center for Blast Mitigation at George Mason University.
Urban Dispersion and National Security Applications
In 2005, I provided computational support to the Department of Homeland Security (DHS) dispersion experiments in New York City, performing simulations of atmospheric transport and dispersion around Madison Square Garden. More broadly, my research addresses the dispersion of chemical and biological agents in urban environments, an area of critical importance to national security. Through the Center for Computational Fluid Dynamics, we have developed the capability to simulate airflow across entire cities under realistic atmospheric conditions. Ensembles of these simulations are used to predict concentration levels and to optimize the placement of sensor networks at strategic locations. This work incorporates atmospheric variability and turbulence modeling and has been carried out in collaboration with national laboratories, universities, and industry partners.
Teaching Focus
Since 1998, I have taught at the College of Science and the School of Computational Science at George Mason University. Prior to this appointment, I taught in the Department of Physics at the University of Buenos Aires. My commitment to teaching began even earlier, during my undergraduate studies in Argentina, when I mentored high school students. Teaching is central to my professional identity; I value the opportunity to introduce students to new intellectual challenges and to support them as they develop the skills needed to meet those challenges.
My current teaching focus is Computational Physics. I teach the full sequence of undergraduate computational physics courses and mentor undergraduate research students in the Department of Physics and Astronomy:
- PHYS 251: Introduction to Computer Methods in Physics.
- PHYS 325: Intermediate Computer Methods in Physics.
- PHYS 410: Computational Physics Capstone.
- PHYS 408: Senior Research
In addition, I have taught a broad range of undergraduate and graduate courses, including:
- PHYS 244, 246, and 161.
- PHYS 613: Computational Physics II.
- CDS 351: Introduction to Scientific Programming.
- CSI 501: Introduction to Scientific Programming.
- CSI703: Scientific and Statistical Visualization.
- CSI603 and CSI604: Introduction to Scientific Programming.
- CSI729: Topics in Continuum Systems.
- CSI 999: Doctoral Dissertation.
- CSI 998: Doctoral Dissertation Proposal.
A core aspect of my teaching philosophy is the value I place on one-on-one instruction. Individual interactions allow students to identify and overcome specific learning obstacles, fostering both confidence and independence. To support this process, I offer flexible office hours and, when possible, accommodation with walk-in consultations. I maintain an open-door policy and encourage students at both the undergraduate and graduate levels to seek guidance and engage in ongoing dialogue.
Throughout my 27 years as an educator at George Mason University, I have sustained a strong commitment to excellence in teaching and to the cultivation of critical thinking skills. My goal has always been not only to teach computational techniques, but also to help students develop the analytical habits necessary for success in physics, research, and their future professional endeavors.
Selected Publications
Camelli, F., Byrne, G., & Löhner, R. (2014). Modeling Subway Air Flow Using CFD. Tunneling and Underground Space Technology 43: 20–31
Camelli, F., Coirier, W.T., Huber, A.H., Hansen, O.R., Kim, S., Hanna, S.R., & Brown, M.J. (2006). An intercomparison of four computational fluid dynamics models: Transport and dispersion around Madison Square Garden. In J2.6. American Meteorological Society.
Camelli, F., Hanna, S.R., & Löhner. R. (2004). Simulation of the MUST field experiment using the FEFLO-Urban CFD model. In 13.12. American Meteorological Society.
Camelli, F., Lien, J., Shen, D., Wong, D.W., Rice, M., Löhner, R., & Yang, C. (2011). Generating seamless surfaces for transport and dispersion modeling in GIS. GeoInformatica 16(2), 307–27.
Hanna, S.R., Brown, M.J., Camelli, F., Chan, S. T., Coirier, W.T., Hansen, O.R., Huber, A.H., Kim, S., & Reynolds, M. (2006). Detailed simulations of atmospheric flow and dispersion in Downtown Manhattan. An application of five computational fluid dynamics models. Bulletin of the American Meteorological Society, 87 (12), 1713–26.
Contact Info

- Name
- Dr. Fernando Camelli
- Job Title
- Associate Professor
- Phone Number
- Office Number
- Planetary Hall, Room 101C, MSN 3F3