Dr. Paul Robertson: Chief Scientist, President

Dr. Robertson, is working to apply self-adaptive software and machine learning principles to Computer Vision, and Perceptual Intelligence. His current research activities include self adaptive software architectures and technology, symbolic learning systems, perceptually enabled interfaces, physically embedded intelligent autonomous systems (including robots and vision systems), and advanced programming language environments and design.

He was recently a senior scientist at Raytheon BBN Technologies, where he...

Prakash Manghwani: Senior Architect

Before coming to DOLL, Prakash worked as a software engineer at PepperMob and before that as a software engineer at Raytheon BBN Technologies.  Where he worked on Concurrent High performance applications development,  Semantic Web Technologies,  Scalable, fast fault tolerant node failure detection, program composition for embedded systems, Sensor information technologies, and Open map design and implementation.

Prakash holds a Bachelor of Science in Computer Engineering.

Dan Cerys: Chief Architect

Dan is an experienced software development leader with experience ranging from DARPA R&D programs to delivering mission-critical applications used daily by thousands of users.  He has successfully implemented practical state-of-the-art computer systems in a variety of problem domains, particularly in areas of logistics and cyber security.  Technical interests include: planning and scheduling; user interfaces that distill large-scale, multi-attribute data into actionable information; knowledge representation; and distributed object-oriented systems.

 

Andreas Hofmann: Chief Scientist

Dr. Hofmann is a leading expert in the area of autonomous systems, particularly, in the fields of robotics, cyber-physical systems, and process control systems.  He has been responsible for developing innovative technology and algorithms that work in real-time environments, including the Gensym G2 inference engine and graphical process diagram system, algorithms for bipedal robot balance control, controllers for energy efficient mobile hydraulic systems, and integrated task and motion planning architectures for individual robots, and teams of robots working with...