CU Boulder from the air.

Seminar: Controlling Instabilities in Flow with Phononic Subsurfaces - Apr. 26

April 17, 2024

Abigail Juhl Material Scientist, Materials and Manufacturing Directorate, AFRL Friday, April 26 | 10:40 a.m. | AERO 120 Abstract: Delaying the onset of turbulence by a small percentage can significantly improve the capability of Air Force assets by reducing fuel expenditures while increasing operational. In subsonic flows, Tollmien-Schlichting (T-S) waves...

CU Seal

May 2024 Graduation Information

April 16, 2024

CU Boulder from the air.

Seminar: Autonomous Miniaturized Distributed Space Systems - Apr. 12

April 6, 2024

Simone D'Amico Associate Professor of Aeronautics and Astronautics, Stanford Friday, April 12 | 10:40 a.m. | AERO 120 Abstract: Two key trends are revolutionizing the way humans conduct spaceflight, namely, the miniaturization of satellites (e.g., micro- and nano-satellites) and the distribution of payload tasks among multiple coordinated units (e.g., formation-flying,...

Mahmoud Hussein

Seminar - Harmonics dispersion relation: A new fundamental theory of strongly nonlinear waves - Apr. 5

April 2, 2024

Wave motion lies at the heart of many disciplines in the physical sciences and engineering. For example, problems and applications involving light, sound, heat, or fluid flow are all likely to involve wave dynamics at some level. While the theory of linear waves is fairly established, nonlinear wave motion remains a...

The Aerospace Building

Smead Aerospace recognizes 2024 alumni award winners

March 25, 2024

The Ann and H.J. Smead Department of Aerospace Engineering Sciences is honoring nine alumni for outstanding contributions to industry, for technical achievement, and public service. The 2024 AeroBuffs Club Alumni Academy inductees are being recognized for work in business, civil, and military aerospace spheres. “Smead Aerospace has outstanding graduates serving...

CU Boulder from the air.

Seminar: Multi-spectral Remote Sensing and Retrieval of Snow Algae and Light Absorbing Particles in Snow with Commercial SmallSat data, UAVs, and Robotic Sampling - Apr. 1

March 25, 2024

Alia Khan Associate Professor, Environmental Sciences, Western Washington University Monday, April 1 | 9:30 a.m. | AERO 111 Abstract: The global cryosphere – the frozen water domain – is experiencing unprecedented change. To match this rapid pace, innovative technological approaches and interdisciplinary engineering solutions are needed across disciplines to increase...

CU Boulder from the air.

Seminar - Taming the Swarm: Toward Robust and Flexible Bio-inspired Autonomy - Apr. 3

March 25, 2024

Anastasia Bizyaeva Postdoctoral Scholar, AI Institute in Dynamic Systems, University of Washington Wednesday, April 3 | 9:30 a.m. | AERO 111 Abstract: Soon we will share our airspace, roads, homes, offices, warehouse floors, and construction sites with teams of autonomous robots, self-driving vehicles, and delivery drones. In order to coexist...

Rendering of a satellite orbiting the Earth.

CU Boulder developing space wargames simulation facility

March 20, 2024

University of Colorado Boulder researchers are working to keep America’s armed forces safe in space with a new research grant. Casey Heidrich is leading an Air Force Office of Scientific Research grant to develop a...

Patrick Binning

Patrick Binning (AeroEngr MS'94, PhD'97)

Patrick Binning received his MS and PhD degrees from the Department of Aerospace Engineering Sciences at the University of Colorado Boulder; he received his BS in aerospace engineering from the University of Cincinnati. His graduate work, performed under the direction of Professor George Born through the Colorado Center for Astrodynamics...

CU Boulder from the air.

Seminar - Engineering AI Systems and AI for Engineering: Compositionality and Physics in Learning - Apr. 5

March 13, 2024

Cyrus Neary PhD Candidate, Computational Science, Engineering, and Math, UT Austin RESCHEDULED TO: Friday, April 5 | 9:30 a.m. | AERO 111 Abstract: How can we transform artificial intelligence (AI) and machine learning capabilities into engineering systems? That is, how can we engineer AI systems within budget constraints, certify them...

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