John C. Kirk Jr is the President and Chief Engineer of Goleta Star LLC. His career spans over fifty years in radar from 1956. Among his significant accomplishments are: (1) In 1971 he developed the first system to demonstrate real-time digital SAR from an intentionally maneuvering aircraft. Much of this technology evolved into the B-1B APQ-164 radar. (2) In 1972 he developed a missile warning radar concept that became the B-52 ALQ-153 Tail Warning Radar. (3) In 1973 he developed a Medium PRF mode based on a single receiver channel which was incorporated into the F-16 APG-66 radar. (4) From 1991 to 2000 he was an instructor at the TI (and now Raytheon) Learning Institute, teaching courses in Radar Signal Processing and Imaging Radar Technology. (5) In 2007 in conjunction with Quinstar Technology Inc, he formed Goleta Star LLC to develop light-weight and low-cost radar technology suitable for but not limited to small UAV platforms. He has a BSEE degree from NC State, an MSEE degree from Marquette, and has done graduate study at UCSB. Prior employment was in the USAF, at Westinghouse, at Raytheon and with Technology Service Corporation.
Dr Kai Lin
Dr Kai Lin received his Ph.D. degree in electrical engineering at the UCLA in 2006. His PhD thesis was on the adaptive leakage canceler that went into the LUAVR. He is currently involved in the development of the lightweight Ka-band SAR radar front end. His depth of expertise ranges from microprocessor DDS programming to digital filter design. He was the prinicpal RF engineer on the DCR.
Scott Darden received a B.S. and M.S. in EE from the University of Southern California in 1999 and 2002, respectively. Mr. Darden was an employee of JPL from 1999-2008 working on simulations as well as analysis, design, and development of software and hardware for advanced space-based and aircraft receivers. He has been responsible for the FPGA firmware development for LUAVR and DCR. Recently he has been involved in processing the DCR SAR GMTI data and implementing the DPCA algorithm, and for the recent Video SAR. Scott will be responsible for the development of all the signal processing algorithms and any simulations that support them.
Phd. Mechatronics – focus on robotics and control engineering, Johannes Kepler University Linz, 2011 (Advisor: Prof. del Re, Johannes Kepler University Linz, Austria, Prof. Emilio Frazzoli, MIT, USA)
MSc Mechatronics – focus on robotics and control engineering, Johannes Kepler University Linz, Austria, 2002
Prior to NM Robotic LLC., in 2006 Dr. Naderhirn was founder, CEO and CTO of AeroSpy GmbH in Linz, Austria, a startup company dedicated to the development of navigation algorithms for Unmanned Aerial Vehicles. Dr. Naderhirn was responsible for the business development and the direction of the engineering department. The company was sold to Airbus in mid 2013. Between 2002 and 2004 Dr. Naderhirn was a technical staff member at the Johannes Kepler University Linz where he worked on research projects for the Austrian Armed Forces. In 2005 he was a visiting scholar at the University of California in Los Angeles at the ARES lab of Prof. Emilio Frazzoli where he was part of the Golem group participating in the DARPA Grand Challenge.
Dr Raoul Tawel
Dr Raoul Tawel received his Ph. D. degree from Brandeis University in 1987. He has 6 US patents and has developed over 40 printed circuit board products and 90 FPGA and ASIC IP cores for radar, imaging, artificial neural networks, control, high speed (Gbps) digital designs, and mixed signal designs. He designed the digital board for the DCR and is now designing an upgraded version for our VideoRadar product.
Winston Kwong earned a Masters in Computer Science from the University of Southern California in 2006. From 2001 to 2006 he was with NASA's Jet Propulsion Laboratory as a software engineer where he developed software for various R&D projects. He has been the lead software engineer on LUAVR for the past five years, and is currently the lead software engineer on the DCR, including the interface with the GPS/INS motion measurement sensor (MMS) for mocomp.