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David Askey is responsible for key strategic initiatives, guidance, and market development of vision-based systems. He also develops software solutions and algorithms for video, vision, and 3-D modeling applications. David plays a leading role on several commercial and government machine vision projects. He has extensive industry experience in object tracking, image-based modeling, and video compression. His career includes the positions of Engineering Manager, Lead Technology Strategist, and Director of R&D at leading technology and imaging companies both in the US and Europe. David has B.S. and M.S. degrees in Electrical Engineering from Massachusetts Institute of Technology. Jim Bacon's technical responsibilities include design of XML languages and databases for engineering applications, and simulation and training system design and development. Jim has played a critical part of multiple vision-based and robotics projects. He also manages engineering financial resources for Energid. Jim's wealth of object-oriented software development and management experience is coupled with a solid background in aerospace engineering. While at Raytheon Jim developed a suite of object-oriented tools and was the software architect for advanced missile simulations for both the Air Force and Army. Jim has a B.S. and a M.S. in Aeronautical/Astronautical Engineering from the University of Illinois. Chu-Yin Chang is a widely recognized and published innovator in robotics and machine vision. He has a distinguished engineering background coupled with vast research and development experience. As the Senior Vice President of Energid, Chu-Yin's technical guidance has been instrumental in developing Energid's core machine vision capability. Chu-Yin has developed new 3-D surface profiling systems based on white light interferometry, new defect detection algorithms, and robotic object detection and pose recognition algorithms. Chu-Yin is responsible for developed three dimensional OpenGL-based visualization tools for robotic manipulators as well as object tracking algorithms. He has authored multiple patents. Chu-Yin has a M.S. in Electrical Engineering from the University of California, Davis and holds a Ph.D. in Electrical Engineering from Purdue University.
James English is President and Chief Technical Officer of Energid Technologies. He leads project teams in the development of complex robotic, machine vision, and simulation systems. James' specialty is design and simulation of automatic remote systems. His background is software development in the engineering and aerospace industries where he has held key R&D positions with Raytheon and MAK Technologies. He has authored multiple patents related to the control of bifurcating kinematically redundant mechanisms and a pending patent related to virtual reality training systems. James has a M.S. in Electrical Engineering from the University of Florida and holds a Ph.D. in Electrical Engineering from Purdue University.
Neil Tardella is responsible for managing operations at Energid. He also provides technical expertise in software design and implementation of large-scale systems. His technical background includes developing real-time embedded software for critical systems such as multimode radar, Automatic Target Recognition (ATR) systems, Moving Target Indicator (MTI) systems, and radar siting systems. He also has an extensive background in simulations, having led the development effort for a force-on-force constructive battlefield simulation. At Energid he designed a specialized multiple hypothesis tracking system to accommodate remote tracking supervision. He also implemented Energid's real-time robotic collision detection and avoidance algorithms. Prior to joining Energid, Neil held key research and development roles at Northrop Grumman Norden Systems, Sikorsky Aircraft Corporation, and Technology Service Corporation. Neil has a B.S. in Electrical Engineering from the University of Hartford and a M.S. in Computer Science from Polytechnic University.
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