We are a growing technology and research business located in Los Angeles, California and Orem, Utah. Founded in 2002, we continue to expand our team and technology developments into the future.
About Us
Innovative Technologies To Generate Intelligent Solutions
Our Mission
Improve Machine Autonomy and turn data into knowledge.
UtopiaCompression delivers innovative and mission-relevant solutions to U.S. Government Agencies and commercial markets. We push the state-of-the-art in the areas of computer vision, autonomous systems, unmanned aircraft Sense-and-Avoid, wireless communications, airborne networking, medical decision support systems and diagnostics. Our capabilities include algorithmic research, machine learning, deep learning, application development, systems integration, and customized support services.
Our Vision
Enrich the world by expanding human capabilities through artificial intelligence.
To paraphrase Nobel Laureate Herbert Simon, as society ascends the orders of social complexity, human-bounded rationality becomes increasingly overwhelmed. We are then pressed to extend our cognitive and rational capabilities through software and hardware. Historically, the evolution of instruments shows greater adaptability and autonomy through the incorporation of intelligence. We take this as a fundamental tenet in pursuit of novel and revolutionary intelligence-based software solutions that serve the needs of modern society.
Leadership
Leadership
Dr. Jacob Yadegar
CEO
Dr. Joseph Yadegar
President
Susan Weinstein
Contract Manager
Nazifa Karimi
Accounting
Board of Advisors
Eric N. Johnson is a Professor of Aerospace Engineering at Pennsylvania State University (PSU), and the Director of PSU UAS Research Laboratory (PURL). He received a B.S. degree from University of Washington, M.S. degrees from MIT and George Washington University, and a Ph.D. from Georgia Tech. He has five years of industry experience working at Lockheed Martin and Draper. As faculty since 2001, he has performed research in unmanned aircraft fault-tolerant control, aided inertial navigation, and autonomy. This work hasincluded the first air-launch of a hovering aircraft, automatic flight of a helicopter with simulated frozen actuators, and vision-based air-to-air tracking. His most recent work has included automatic low altitude high speed flight of helicopters, indoor and outdoor vision-aided inertial navigation, and methods for sensing and avoiding other aircraft.
Dr. He Bai is the Associate Professor of Mechanical and Aerospace Engineering for the College of Engineering, Architecture, and Technology at Oklahoma State University since 2021. He earned is Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute in 2009 and a
M.S. in Electrical Engineering from Rensselaer Polytechnic Institute in 2007. He earned a B.E. in Automation from the University of Science and Technology of China in 2005. He was the associate editor for the IEEE Control System Letters (2021) and the associate editor for the IEEE Control System Society Conferences. Dr.He Bai is a member of the IEEE Technical Committee on Manufacturing Automation and Robotic Control. Dr.Bai’s teaching and research focuses on robotics, control, estimation, machine learning, and information theory.
United States Air Force civil service and military veteran of 35 years with national and international experienced in the development of optical, infrared, and LADAR systems for the protection of USAF aircraft. Author of 20+ technical papers published in the leading technical journals. Author of the Optical Society of America‘s (OSA) Handbook of Optics, Chapter 3, “Diffraction”. Professor, Physics, Urbana University, Urbana Ohio Ph.D. Optical Sciences, University of Arizona 1999; M.S. Optical Sciences, University of Arizona 1998; M.S. Electrical Engineering, Wright State University 1993; M.B.A. Rensselaer Polytechnic Institute 1989; B.S. Electrical Engineering, University of Utah 1986; B.A.Mathematics, Fordham University 1975.
Dr. Randal Beard has been with the Electrical and Computer Engineering Department at Brigham Young University since 1996, where he is currently a professor. He was a Summer Faculty Fellow at the Jet Propulsion Laboratory. In 2006-2007 he was a National Research Council Fellow at the Air Force Research Labs at Eglin Air Force Base where he worked on vision based guidance and control algorithms for micro air vehicles. His primary research focus is in autonomous systems, uncrewed air vehicles, and multiple vehicle coordination and control. He has published over 200 peer reviewed articles and has received over $6M in external research funding from AFOSR, AFRL, NASA, DARPA, and NSF. He is a fellow of the IEEE and an associate fellow of the AIAA.