Curriculum Vitae
Kai Goebel Senior Scientist RIACS NASA Ames Research Center Building T35A #30 MS 269-4 Moffett Field, CA 94035-1000 Tel: (650) 604-4204 Fax: (650) 604-4036 goebel AT email DOT arc DOT nasa DOT gov ACADEMIC TRAINING Ph.D. Mechanical Engineering, University of California at Berkeley, 1996 M.S. Mechanical Engineering, University of California at Berkeley, 1993 Dipl. Ing. Mechanical Engineering, Technische Universität München, 1990 RESEARCH Prognostics Center of Excellence, NASA Ames Research Center, 2006 - now. Machine Learning, Modeling, Prognostics, Uncertainty Management. Industrial Artificial Intelligence Lab, Information & Decision Technologies, General Electric Global Research, 1997-2006. Classification, Monitoring, Diagnostics, Prognostics, Soft Computing, Information Fusion. Intelligent Systems Research Group, BEST Lab, University of California at Berkeley, 1990-1997. Application of neural networks, fuzzy logic, and probabilistic reasoning for real time monitoring and diagnosis to power plants, automated vehicle control systems, and manufacturing processes. Sensor validation and fusion. SOCIETY MEMBERSHIPS/FELLOWSHIPS International Society for Information Fusion (ISIF) since 1999 American Association of Artificial Intelligence (AAAI) since 1994 Berkeley Initiative in Soft Computing (BISC) since 1994 American Society of Mechanical Engineers (ASME) since 1991 International Society for Optical Engineering (SPIE), since 2002 Verein Deutscher Ingenieure (VDI) since 1989 ADJUNCT PROFESSORSHIPS Rensselear Polytechnic Institute, Computer Science Department, since Fall 1998. Instructor for class “Soft Computing”. Georgia Institute of Technology, instructor, short course on Fault Diagnostics/Prognostics for Machine Health Maintenance, 2001, 2002, 2003, 2004, 2005, 2006. Ph.D. committee co-chair for W. Yan, Mechanical Engineering Department, Rensselear Polytechnic Institute, 2003. PROFESSIONAL COMMITTEE WORK Artificial Intelligence in Engineering Design, Automation, and Manufacturing (AIEDAM) Guest editor, special issue: AI in Equipment Service American Association of Artificial Intelligence Organizer and symposium chair, AAAI Annual Spring meeting, 1999, 2002 International Society for Optical Engineering (SPIE) Program chair, SPIE conference on Information Fusion, 1999, 2000, 2001, 2002, 2003, 2004, 2005 International Society of Information Fusion (ISIF), 1999 Invited session organizer, 2nd International Conference on Information Fusion (Fusion ’99). Berkeley Initiative in Soft Computing (BISC) Invited seminar, 1995 Student Pugwash, Berkeley Chapter, 1996-1997 PUBLICATIONS BOOK CHAPTERS B. Cheetham, P. Cuddihy, and K. Goebel, Applications of Soft CBR at GE, Soft Computing in Case Based Reasoning; Eds: S. Pal, T. Dillon, and D. Yeung; Springer Verlag, London, 2001; (ISBN 1-85233-262-X)., 2001 B. Cheetham, K. Goebel, and P. Bonissone, Benefits of Decision Support using Soft Computing, Applied Decision Support with Soft Computing; Eds: X. Yu and J. Kacprzyk, Studies in Fuzziness and Soft Computing, Vol. 124, Springer Verlag, (ISBN: 3-540-02491-3), pp. 61-85, 2003 EDITED VOLUMES K. Goebel, AI in Equipment Maintenance and Support, Papers from 1999 Spring Symposium; Technical Report SS-99-04; AAAI Press, 1999; (ISBN 1-57735-084-7), 1999 K. Goebel and P. Bonissone, Information Refinement and Revision for Decision Making: Modeling for Diagnostics, Prognostics, and Prediction, Papers from 2002 Spring Symposium; Technical Report SS-02-03; AAAI Press, 2002; (ISBN 1-57735-148-7), 2002 JOURNAL PAPERS A. Agogino, P. Bonissone, K. Goebel, and G. Vachtsevanos, Guest Editorial: AI in Equipment Service, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 15 (4), Sept. 2001, pp. 265-266, 2001 P. Bonissone and K. Goebel, Soft Computing for Diagnostics in Equipment Service, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 15 (4), Sept. 2001, pp. 267-279, 2001 K. Goebel and A. Agogino, Intelligent Sensor Validation and Sensor Fusion for Automated Vehicle Control Using Fuzzy Techniques , ASME J. of Dynamic Systems, Measurement and Control, March 2001, pp. 145-146, 2001 K. Goebel, Architecture and Design of a Diagnostic Information Fusion Tool, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 15 (4), Sept. 2001, pp. 335-348, 2001 K. Goebel and A. Agogino, Fuzzy Belief Nets, Intl. J. Uncertainty, Fuzziness, and Knowledge-Based Systems. Vol. 8, No. 4, pp. 453-469, 2000 P. Bonissone, Y. Chen, K. Goebel, and P. Khedkar, Hybrid Soft Computing Systems: Industrial and Commercial Applications, Proceedings of the IEEE, Special Issue on Computational Intelligence, Vol. 87, No. 9, pp. 1641-1667, 1999 PATENTS K. Goebel and D. Doel, System and method for generating alerts through multi-variate data assessment, US6216066, 2001. K. Goebel and D. Doel, Alert Generation for Trend Performance Analysis, US6408259, 2002. Kai Goebel , System and method for classifying unknown data patterns in multi-variate feature space, US6519575, 2003. Kai Goebel, Vivek Badami, Malcolm Ashby, Information Fusion of Classifiers in Systems with Partial Redundant Information, US6757668, 2004. Weizhong Yan, Peter Edic, Maria Iatrou, Kai Goebel, Erdogan Cesmeli, Method and Apparatus for Imaging a region of dynamic tissues, US6765983, 2004. CONFERENCE PROCEEDINGS J. Granderson, A. Agogino, Y. Wen, K. Goebel, Towards Demand-Responsive Intelligent Daylighting with Wireless Sensing and Actuation, Proceedings of 2004 Annual IESNA conference, 2004 Y. Wen, A. Agogino, K. Goebel, Fuzzy Validation and Fusion of Wireless Sensor Networks, Proceedings of 2004 ASME International Mechanical Engineering Congress,2004 R. Rausch, D. Viassolo, A. Kumar, K. Goebel, N. Eklund, B. Brunell, P. Bonanni, Towards In-Flight Detection and Accommodation of Faults, Proceedings of AIAA 2004,2004 P. Bonissone, K. Goebel, and W. Yan, Classifier Fusion Using Triangular Norms, Lecture Notes in Computer Science: Proceeding of the Fifth International Workshop on Classifier Fusion, pp. 154-163, 2004 K. Goebel and W. Yan, Choosing Classifiers for Decision Fusion, Proceedings of the Seventh International Conference on Information Fusion, vol. I, pp. 563-568, 2004 W. Yan and K. Goebel, Designing Classifier Ensembles with Constrained Performance Requirements, Proceedings of SPIE; Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2004, pp. 59-68, 2004 W. Yan, K. Goebel, and C. J. Li, Flight Regime Mapping for Aircraft Engine Fault Diagnosis, Proceedings of the 58th, Meeting of the Society of Mechanical Failures Prevention Technology, Virginia Beach, VA, April 26-30, 2004, Eds.: H. C. Pusey, S. C. Pusey and W. R. Hobbs, MFPT, Winchester, VA, pp. 153-164, 2004 K. Goebel, N. Eklund, and B. Brunell, Rapid Fault Detection for Safety Critical Aircraft Engine Operation, 2004 IEEE Aerospace Conference Proceedings, z11_0104, 2004 K. Goebel, Incremental Performance Improvement during Development of Diagnostic Algorithms, 2003 ASA Proceedings, Joint Statistical Meeting, Quality and Productivity Research Conference, pp. 4823-4831, 2003 K. Goebel, M. Dometita, and C. Graichen, Mapping Heterogeneous Information to Facilitate Fusion for Improved Lifing Estimates, Proceedings of the 6th Annual Conference on Information Fusion, Fusion 2003, pp. 364-371, 2003 M. Krok and K. Goebel, Prognostics for advanced compressor health monitoring, Proceedings of SPIE, System Diagnosis and Prognosis: Security and Condition Monitoring Issues III, Vol. #5107, pp.1-12, 2003 K. Goebel, Sensitivity of fusion performance to classifier model variations, Proceedings of SPIE, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications VII, pp. 39-46, 2003 W. Yan and K. Goebel, Sensor Validation and Fusion for Gas Turbine Vibration Monitoring, Proceedings of SPIE, System Diagnosis and Prognosis: Security and Condition Monitoring Issues III, Vol. #5107, pp. 106-117, 2003 P. Bonissone and K. Goebel, When will it break? A Hybrid Soft Computing Model to Predict Time-to-break Margins in Paper Machines, Proceedings of SPIE 47th Annual Meeting, International Symposium on Optical Science and Technology, Vol. #4787, pp. 53-64, 2002 K. Goebel and W. Yan, Fusing Binary and Continuous Output of Multiple Classifiers, Proceedings of the Fifth International Conference on Information Fusion, Fusion 2002, vol. 1, pp. 380-387, 2002 W. Yan, K. Goebel, and J. Li, Classifier Performance Measures in Multi-Fault Diagnosis for Aircraft Engines, Proceedings of SPIE, Component and Systems Diagnostics, Prognostics, and Health Management II, vol. 4733, pp. 88-97, 2002 P. Bonissone, K. Goebel, and Y. Chen, Predicting Wet-End Web Breakage in Paper Mills, Working Notes of the 2002 AAAI symposium: Information Refinement and Revision for Decision Making: Modeling for Diagnostics, Prognostics, and Prediction, Technical Report SS-02-03, AAAI Press, Menlo Park, CA, pp. 84-92, 2002 K. Goebel and S. Mysore, Factoring in a Priori Classifier Performance into Decision Fusion, Proceedings of SPIE, Sensor Fusion: Architectures, Algorithms, and Applications VI, vol. 4731, pp. 10-21, 2002 K. Goebel, W. Yan, and W. Cheetham, A Method to Calculate Classifier Correlation for Decision Fusion, Proceedings of IDC 2002, Adelaide, 11-13 February, 2002., pp. 135-140, 2002 P. Bonissone and K. Goebel, Soft Computing Applications in Equipment Maintenance and Service, Proceedings of Joint 9th IFSA World Congress and 20th NAFIPS international Conference, Vancouver, BC, Canada, July 25-28, 2001; vol. 5, Eds: Smith, M.H., Gruver, W.A., Hall, L.O., pp. 2752-2757, 2001 K. Goebel, Conflict Resolution using Strengthening and Weakening Operations in Decision Fusion, Proceedings of the 4th Annual Conference on Information Fusion, Fusion 2001, pp. ThA1-19 - ThA1-25, 2001 W. Cheetham, A. Varma, and K. Goebel, Case Based Reasoning at General Electric, Proceedings of FLAIRS ’01, Key West, FL., pp. 93-97. , 2001 K. Goebel and S. Mysore, Taking Advantage of Misclassifications to Boost Classification Rate in Decision Fusion, Proceedings of SPIE, Sensor Fusion: Architectures, Algorithms, and Applications V, 2001., pp. 11-20, 2001 K. Goebel, Decision Forgetting and Decision Smoothing for Diagnostic Information Fusion in Systems with Redundant Information, Proceedings of SPIE, Sensor Fusion: Architectures, Algorithms, and Applications IV, Vol. 4051, pp. 438-445., 2000 K. Goebel, M. Krok, and H. Sutherland; , Diagnostic Information Fusion: Requirements Flowdown and Interface Issues, Proceedings of the IEEE 2000 Aerospace Conference – Advanced Reasoner and Information Fusion Techniques, vol. 6, pp. 155-162, 2000 K. Goebel and W. Yan, Feature Selection for Tool Wear Diagnosis Using Soft Computing Techniques, Proceedings of the ASME, Manufacturing in Engineering Division, (MED-Vol.11), pp. 157-163, 2000 M. Garbiras and K. Goebel, Fusing Diagnostic Information Fusion without A priori Performance Knowledge, Proceedings of the 3rd Intl. Conference on Information Fusion, Fusion 2000, vol. 1, pp.TuD5-9 – TuD5-16, 2000 K. Goebel, V. Badami, and A. Perera, Diagnostic Information Fusion for Manufacturing Processes, Proceedings of the 2nd International Conference on Information Fusion, Fusion ’99, vol. 1, pp. 331-336, 1999 K. Goebel and A. Agogino, Fuzzy Sensor Fusion of Gas Turbine Power Plants, Proceedings of SPIE, Sensor Fusion: Architecture, Algorithms, and Applications III, Vol. 3719, 7-9 April ’99, , pp. 52-61, 1999 P. Bonissone and K. Goebel, Soft Computing Techniques for Diagnostics and Prognostics, Working Notes of the 1999 AAAI Spring Symposium: AI in Equipment Maintenance Service & Support, Technical Report SS-99-04, AAAI Press, Menlo Park, CA, pp. 68-81, 1999 K. Goebel and A. Agogino, Towards Fuzzy Belief Nets, Working Notes of the 1999 AAAI Spring Symposium: AI in Equipment Maintenace Service & Support, Technical Report SS-99-04, AAAI Press, Menlo Park, CA , pp. 60-67, 1999 K. Goebel, A. Agogino and S. Alag, , Probabilistic and Fuzzy Methods for Sensor Validation and Fusion in Vehicle Guidance: A Comparison, Proceedings of ISATA '97, 30th International Symposium on Automotive Technology & Automation, (dedicated conference on fuzzy systems/soft computing in the automotive and transportation industry; Florence, Italy, Vol. 1: Mechatronics/Automotive Electronics, pp. 711-719, 1997 K. Goebel and A. Agogino, An Architecture for Fuzzy Sensor Validation and Fusion for Vehicle Following in Automated Highways, Proceedings of the 29th International Symposium on Automotive Technology and Automation (ISATA), Dedicated Conference on Fuzzy Systems/Soft Computing in the Automotive and Transportation Industry, Florence, Italy, pp. 203-209, 1996 A. Agogino, S. Alag, and K. Goebel, A Framework for Intelligent Sensor Validation, Sensor Fusion, and Supervisory Control of Automated Vehicles in IVHS, Intelligent Transportation: Serving the User through Deployment, Proceedings of the 1995 Annual Meeting of ITS America, Washington, D.C., pp. 77-87, 1995 S. Alag, K. Goebel, and A. Agogino, A Methodology for Intelligent Sensor Validation and Fusion used in Tracking and Avoidance of Objects for Automated Vehicles, Proceedings of American Control Conference (ACC T95), pp. 3647-3653, 1995 K. Goebel, B. Wood, A. Agogino and P. Jain, Comparing a Neural-Fuzzy Scheme with a Probabilistic Neural Network for Applications to Monitoring and Diagnostics in Manufacturing Systems, Working Notes of the 1994 AAAI Spring Symposium “Detecting and Resolving Errors in Manufacturing Systems”, Technical Report SS-99-04, Palo Alto, CA, , pp. 45-50, 1994 K. Goebel and P. Wright, Monitoring and Diagnosing Manufacturing Processes Using a Hybrid Architecture with Neural Networks and Fuzzy Logic, Proceedings of EUFIT 1993, Aachen, Germany, vol. 2, pp. 574-580, 1993	Perspectives Work Curriculum Vitae Contact Info Retrospective University Photos Introspective Family Hobbies et cetera