Control system development for semi-autonomous excavator system (Trimble Earthworks) accurately controlling the boom and bucket so operators can achieve grade consistently, with high accuracy and in less time.
Researcher for over 10 years at a major multi-national automotive research laboratory developing novel control and prognostic systems for vehicles.
Co-Principal Investigator on NSF ECCS Grant 1001445 with Principal Investigator Professor Pattipati, University of Connecticut.
GOALI: Diagnosis and prognosis of automotive chassis systems,
September 15, 2010 to August 31, 2013.
Co-Principal Investigator on NSF ECCS Grant 0931956 with Principal Investigator Professor Pattipati, University of Connecticut.
CPS: Small: Collaborative Research: Fault Diagnosis and Prognosis in a Network of Embedded Systems in Automotive Vehicles,
September 1, 2009 to August 31, 2013.
Awarded the 2007 "Boss" Kettering award. The "Boss" Kettering Award is General Motors top technical, and most prestigious engineering honor, and GM's highest internal recognition for technical inventions and innovations.
Awarded the 2007 Charles L. McCuen Special Achievement Award from General Motors R & D Center (The award provides recognition for extraordinary technical accomplishment by R & D).
Developed an integrated chassis control system software architecture and model-based diagnostics system for the GM Stabilitrak 3.0 system. This is a chassis control system for vehicle stability control that integrates suspension, steering and brakes to enhance vehicle stability. It has resulted in several patents and awards.
Developed a fault-tolerant chassis control integration architecture for a by-wire, fuel-cell vehicle, the GM Sequel. This is the first fuel-cell vehicle to achieve a 300 mile range between refueling. This has resulted in several patents.
Defined the business strategy for vehicle health management across the organization, including enhanced diagnostics and prognostics, telematics, integrated database management and data-mining.
Post-doctoral researcher for 8 years at Loughborough University in intelligent automotive systems research.
The chief researcher responsible for the EPSRC/Ford Funded Project on Intelligent Suspension. It was rated by EPSRC as Alpha 4 (5 being the best) for scientific and technological merit, and given an excellent rating for the management and use of resources.
Initiated SAE Formulae Student at Loughborough University, obtaining university financial backing, resources, tools and technician support and a dedicated working area.
Collaborated with Ford Research, Dunlop Tire Research, JCB and TRW on collaborative industrial research projects and grant applications for EPSRC sponsored project.
Supervised PhD students on a wide range of control projects, ranging from hybrid vehicle control to novel vehicle control system integration solutions.
Developed several novel stochastic optimization algorithms; including the Genetic Learning Automata (GLA) that combines genetic search with learning automata, and the Continuous Action Reinforcement Learning Automata (CARLA).
Produced a lecture series on Matlab programming for undergraduates. The course included novel open-ended assignments. These included maze solving algorithms and writing code for a team in a 5 aside-soccer simulation where each student’s solutions competed against other students.
Produced a lecture series on optimization methods. This started with the basic concepts, motivations and challenges for optimization and included traditional gradient-based methods, the simplex method and also intelligent optimization techniques such as Genetic Algorithms, Tabu Search and Simulated Annealing.
Initiated a lunchtime postgraduate seminar lecture series for the graduate students to present there work to ther students, lecturers and professors within the department. This enabled informal discussion, suggestions and criticism at key stages of their research.
Internationally published research; over 30 papers and 30 issued patents.