Principal Investigator & Founder
Sukesh Patel
Sukesh Patel received his PhD from the University of Louisiana (Lafayette) in 1990 for work on capturing design knowledge using multi-valued logic. Previously, Sukesh was Principal Investigator at Lockheed Labs in Palo Alto where he worked on software reuse and reengineering and grew the project into a commercial offering for Lockheed. Sukesh also pioneered the development of the first self-explaining spreadsheet program at FXPAL (Fuji-Xerox Palo Alto Laboratories).
Sukesh was Chief Scientist at Manage.com and founder of Blue Control Technologies where his team designed and implemented Multi-Input Multi-Output APC control for the gate etch process.
At Performance Star Dr. Patel establishes the technical vision and spearheads all research and technical execution.
Dr. Patel has been granted several patents for his inventions and has published numerous papers in peer reviewed journals, and conferences. Topics include: Software Engineering, AI, Machine Learning, and Intelligent Systems.
Principal Scientist
Robert E. Filman
Robert E. Filman is a Computer Scientist based in the San Francisco Bay Area. Before PerformanceStar, he has worked at Google, the Research Institute for Advanced Computer Science at NASA Ames Research Center, Lockheed Martin Missiles and Space, IntelliCorp, Hewlett-Packard Laboratories, the Stanford Artificial Intelligent Laboratory and Amdahl, and on the faculty of the Computer Science Department at Indiana University, Bloomington. He is Editor in Chief emeritus of IEEE Internet Computing and is or has been on the editorial boards of The International Journal of Artificial Intelligence Tools, The Journal of Software Maintenance and Evolution, Transactions on Aspect-Oriented Software Development, Recent Patents on Engineering, IEEE Internet Computing and China Communications. He is the author (with Daniel P. Friedman) of Coordinated Computing: Tools and Techniques for Distributed Software (1984, McGraw-Hill), and the editor (with Tzilla Elrad, Siobhán Clarke, and Mehmet Akşit) of Aspect Oriented Software Development (Addison-Wesley, 2005). He was the founding chair of the Aspect-Oriented Software Association and was the general chair of AOSD-2006. He was Associate Program Chair for the Fifth National Conference on Artificial Intelligence (AAAI-86) and the Workshop Chair for the Eleventh National Conference on Artificial Intelligence (AAAI-93). He is a recipient of (among other awards) the Golden Core award from the IEEE Computer Society and awards from NASA for his work on the Mars Exploration Rover. He has worked and published in the areas of artificial intelligence, analysis of algorithms, software engineering, distributed computing, network security, programming languages, and human-machine interface. Dr. Filman received his B. S. (1974, Mathematics), M.S. (1974, Computer Science) and Ph. D. (1979, Computer Science) from Stanford University.
Principal Scientist
Wolfgang Polak
Wolfgang Polak received his PhD from Stanford University in 1980 for work on automated program verification. Since then he has done research, advanced development, and technology transfer for companies ranging from startups (e.g., Rational Software Corporation) to research institutes (e.g., Kestrel Institute, FX Palo Alto Laboratory) to large corporations (e.g., Lockheed Martin). Dr. Polak's areas of expertise include program synthesis and automatic programming, machine learning, security, self-organizing systems, and quantum computation.
At Performance Star Dr. Polak has been involved from the beginning in the development of the company's technology. He designed and implemented multiple tools including a special-purpose language for efficiently expressing computations on data streams and a graphical tool for constructing image processing algorithms.
Dr. Polak has published in peer reviewed journals, was awarded multiple patents, and has co-authored a popular textbook on quantum computing.
Scientist
Jeyendran Balakrishnan
Dr. Jeyendran Balakrishnan received his doctorate in the area of intelligent control from Yale University in 1996. He spent the next decade at various Silicon Valley startups, designing video compression algorithms and building the engineering teams that productized them. In 2006, Jeyendran founded PersonalTube, an angel-funded personalized video search engine startup that used large scale text classification to classify videos into a deep hierarchy. Since then, Jeyendran has been focusing on developing algorithms and business strategies in the areas of machine learning, natural language processing and big data, both for big companies like eBay, Groupon and Tellabs, and small companies like Transera, UV Labs, EcoFactor, ReUp Education and FogLogic. At PerformanceStar Jeyendran is helping to develop artificial intelligence algorithms for building the smart semiconductor manufacturing tools of the future.