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The article covered many of Aimdyn Founder Dr. Igor Mezic’s contributions to sustainable engineering and buildings.  “Mechanical engineering professor Igor Mezić comes to sustainability by way of algorithms, particularly as they relate to “smart” buildings and, peripherally, tracking oil spills in open ocean,” the article reads. “In an era when energy efficiency is a major topic of […]

Aimdyn inc. competed for and won a competitive Request for Proposal to work with The Defense Advanced Research Projects Agency (DARPA) on Artificial Intelligence technology. They have chosen to work with Aimdyn because of the company’s vast history with processing and managing this type of big data for applications in machine learning and artificial intelligence.  “Between

Aimdyn’s Principal Scientist Dr. Igor Mezic recently made nationwide headlines for partnering with PacketSled to work on Artificial Intelligence and Machine Learning challenges in the cybersecurity industry. Dr. Mezic was the focal point of the article, reading: “Since the 1990’s, Dr. Mezic has been helping global enterprises and government agencies solve massive data problems. He

Our co-founder, Dr. Igor Mezic was featured in the local news for his contributions to the Refugio Oil Spill Case, which recently went to court. The article reads, “Plaintiffs’ attorneys utilized the analysis prepared by expert witness Igor Mezić, co-founder and chief technology adviser of AIMdyn, Inc. and professor at the University of California, Santa

The UCSB Currant reads; “For most of us, fluid dynamics and mechanics aren’t particularly significant — that is, until we’re white-knuckling it on a bumpy plane ride or trying to stay buoyant in unusually bubbly water. The way we navigate through air and water may one day be improved thanks to UC Santa Barbara researchers

This paper was co-written by our founder and lead-scientist, Igor Mezic along with Aimdyn scientist and colleague, Ryan Mohr. Abstract: This paper considers the evolution of Koopman principal eigenfunctions of cascaded dynamical sys- tems. If each component subsystem is asymptotically stable, the matrix norms of the linear parts of the component subsystems are strictly increasing,

The Dynamic Mode Decomposition (DMD) is a tool of trade in computational data driven analysis of fluid flows. More generally, it is a computational device for Koopman spectral analysis of nonlinear dynamical systems, with a plethora of applications in applied sciences and engineering. Its exceptional performance triggered developments of several modifications that make the DMD

Aimdyn’s lead researcher Dr. Igor Mezic was featured in mainstream media recently for securing millions of dollars in grant money for his long-term contributions to applied mathematics.  To read the article, click the link below. LINK TO ARTICLE

This week AIMdyn’s team of scientists will present their research at the 2017 SIAM Conference on Applications of Dynamical Systems. The conference will be held from May 21 to May 25 and features presentations from a large number of scientists who are experts in their respective fields. Featured below we have a brief description of