EIN5117"Management Information Systems" - 2004

MS - Management and Engineering February 2001
Emphasis: Systems Dynamics, eCommerce, Technology Strategies Thesis: "What "Intelligent Agent" is Smarter in Business to Consumer Ecommerce?"
Dual Degree from the School of Engineering and the Sloan School of Management
Massachusetts Institute of Technology, Cambridge, MA GPA 5.0/5.0

Ph.D. - Engineering Management 1990
Emphasis: Artificial Intelligence (Neural Networks/Knowledge Based Systems Hybrids)
Dissertation: "A Hybrid Artificial Neural Networks and Knowledge-Based Expert Systems Approach to FMS Scheduling"
University of Missouri, Rolla, MO GPA 4.0/4.0

MS - Engineering Management 1988
Emphasis: Manufacturing Control, Theory of Constraints & JIT, and Business Functions
University of Missouri, Rolla, MO GPA 4.0/4.0

MS - Electrical Engineering 1987
Emphasis: Computer Engineering, Digital Control, Artificial Intelligence Thesis: "Simulation and Design of a Multiprocessor System for Signal Processing"
Florida Institute of Technology, Melbourne, FL GPA 3.94/4.0

BS - Electrical Engineering and Mechanical Engineering 1983
Emphasis: Power and Control Engineering
Technological University of Panama, Panama GPA Top 5%

UNIVERSITY OF CENTRAL FLORIDA - Orlando, FL
2001 - present
Land-grant state institution with education and research emphasis (32,000 students)

Associate Professor (2001-present)
• Taught and organized courses in Information Technologies, Engineering Management, Artificial Intelligence, Decision Analysis, Statistics and Probabilities, Project Management
• Coordinated research involving MS and Ph.D. Students.
• Attended conferences and submitted papers to proceedings and professional journals.

HONEYWELL INTERNATIONAL - Minneapolis, MN (recently Acquired by GE) 1999 - 2001
$25 billion global diversified company with 120,000 employees

Senior Principal Research Scientist - Honeywell Technology Center, Enterprise Optimization Group.
Applied advanced scientific and engineering principles, theories and concepts in R&D programs and business development.

• Technology Strategist: Accelerated Growth Initiative, Technology Platforms Roadmaps, eCommerce Committee.
• Program Manager in a project in Optimal Design of Policies for Supply Chain Management.
• Program Manager in projects related to enterprise optimization.
• Principal investigator in a project in Enterprise Optimization project, Supply Chain Management, Technology Strategies.
• Introduced companies and partners to our group to participate in several DARPA proposals in Agents, Heterogeneous Network (Internet, Wireless, Satellite) Simulation, and knowledge management.
• Corporate liaison to Search Committees, projects with other companies, government agencies, and special funding.

B.F. GOODRICH - Brecksville, OH 1996 - 1999
$4 billion global aerospace and specialty chemicals company with 18,000 employees

Research and Development Associate - Process Technology Group of Performance Materials (1998-1999)

Applied advanced scientific and engineering principles, theories and concepts in developing research and development programs.
• Task leader who completed the plans to implement and scale-up an intelligent control system using AI technologies for composite materials in an industrial facility.
• Proposed, planned, and coordinated an Intelligent Control System project to reduce costs, increase product consistency, and reduce cycle time.
• Introduced AI technologies in several groups of BFG Aerospace and advised several projects related to AI in the Wheels & Brakes Group and the Aerospace Sensors Division.
· Received a promotion 3 years ahead of schedule.

Senior Research and Development Engineer, Advanced Technology Group (1996-1998)

Applied working knowledge of several disciplines to solve complex problems where little or no precedence existed.
• Developed and implemented an intelligent control system using AI technologies (Blackboard Systems using G2 from Gensym Corporation, Neural Networks, Fuzzy Logic using Matlab, Machine Learning, Probabilistic Search) for composite materials manufacturing (Batch Process) in a pilot plant Task Leader (with BFGoodrich Aerospace).
• Designed and implemented an optimization engine for sensor/data fusion using advanced algorithms programmed in C++ and interfaced (using UNIX sockets) to a commercial CAD system Task Leader with BFGoodrich Aerospace.
• Generated and initiated the concept of sensor/data fusion for a new product development program in Aerospace.
• 8 Inventions Reports, 2 Patents:
Patent #1: Probe Placement Using Genetic Algorithm Analysis -
US 6,006,604.
Patent #2: Liquid Gauging Using Sensor Fusion and Data Fusion -
US 6,157,894.
• Approved Patent:
Patent #3: Liquid Gauging Apparatus Using a Time Delay Neural Network - First Inventor.
• Liaison to Search Committees, projects with other companies, and government agencies (NIST-NAVY).

AMP - Harrisburg, PA 1994 - 1996
$5.6 billion global leader of electrical and electronic connectors with 40,000 employees

Consultant, Advanced Manufacturing Technologies Group
• Accomplished the development of a knowledge-based system to schedule an "advanced" factory for electronic connectors.
• Recommended a production control system (based on computer simulations) for a new factory in Korea.

OHIO UNIVERSITY - Athens, OH 1991 - 1996
Land-grant state institution with education and research emphasis (20,000 students)

Associate Professor (1995-1996)
• Received promotion ahead of schedule.
Assistant Professor, Department of Industrial and Systems Engineering (early tenured) (1991-1995)
• Taught and organized courses in Artificial Intelligence, Neural Networks, Production Management, Neural Networks and Operations Research.
• Coordinated research and directed 18 MS and 1 Ph.D. students.
• Wrote research proposals to Government and Industry and received over $500,000 in research funding.
• Attended conferences and submitted papers to proceedings and professional journals.
• Designated journal editor, member of the program committee of several conferences, and chairperson of several sessions.
• Tenured ahead of schedule.

NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY, Gaithersburg, MA 1991 - 1996
Technology unit of the US Department of Commerce

Guest Researcher, Advanced Manufacturing Research Facility (AMRF)
• Demonstrated concepts of the "Virtual Factory" by using 3D animations, discrete-event simulations, databases, control theory, industrial scheduling software packages, and models of industrial production facilities.
• Performed research based on the integration of neural networks, genetic algorithms, and machine learning for hierarchical manufacturing control in the AMRF

UNIVERSITY OF MISSOURI - Rolla, MO 1990 - 1991
Land-grant state institution with engineering education and research emphasis (6,000 students)

Post-Doctoral Fellow, Nuclear Engineering Department and Intelligent Systems Center
• Designed and programmed architecture for sensor signal analysis by neural networks and time series for surveillance in "fast" nuclear reactors.
• Counseled in the development of a predictive system for the customer retention problem using neural networks (sponsored and deployed for a US Organization).

CONTADORA CORPORATION - Panama, Panama 1981 - 1985
Consortium located in the Republic of Panama with Hotels and Commuter Airlines

Operations Manager (1983-1985)
Administered engineering services involving management of a group of 75 employees.

Operations Analyst (1982-1983)
Coordinated engineering projects between the headquarters and the subsidiaries. Promoted ahead of schedule.

Maintenance Engineer (1981-1982)
Conducted quality control and trend-monitoring tests of turbo-prop and jet engines.
· Developed an optimization/scheduling system using the Newton Raphson numerical technique that improved the ratio of cycles/hours to reduce costs in over/haul of turbo-prop engines (savings around $250,000.00 in the first two years).

* Seminar: Internationalization of Courses, University of Central Florida, Orlando, April-May 2002.
* Seminar: H.NET Information Technologies, MIS University of Toledo, Cocoa Beach, March 2002.
* Seminar: Data Mining in Financial Systems, Hyperion, Orlando, June 2001.
* Seminar: WebCT, University of Central Florida, December 2001.
* Course: Supply Chain Management and the SCOR Model Supply Chain Council, Chicago, June 2000.
* Course: Java and Interactive Programming Department of Electrical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, June 1998.
* Course: Advanced Neural Networks and Process Control, AspenTech, Pittsburgh, April 1998.
* Course: G2: Intelligent Objects and Multiple Inheritance, Gensym Corporation, Cambridge, Massachusetts, March 1998.
* Course: Finite Scheduling and Supply Chain Using MILP, Advanced Process Combinatorics, West Lafayette, Indiana, February 1998.
* Course: Neural Networks and Process Control, AspenTech, Pittsburgh, 1997.
* Course: Computer-Aided Multivariable Control System Design, Department of Electrical
Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, June 1997.
* Course: G2 Part 2: Intelligent Objects and Multiple Inheritance, Gensym Corporation, Cambridge, Massachusetts, March 1997.
* Course: G2 Diagnostic Assistant: Information Flow Diagrams and Diagnostic Procedures for Intelligent Operator Applications, Gensym Corporation, Chicago, Illinois, January 1997.
* Tutorials: (1) From Traditional Statistical Models to Neural Networks, (2) Reinforcement Learning, and (3) Challenges of Time Series Prediction, Natural Information Processing Systems, Denver, Colorado, December 1996.
* Course: G2 Part 1: Intelligent real-time Systems, Gensym Corporation, Cambridge, Massachusetts, October 1996.
* Course: Fuzzy Logic Inference, Intelligent Inference Systems Corp., San Francisco, California, 1996.
* Tutorials: (1) Neural Networks for Identification and Control, (2) Computational Learning and Statistical Prediction, and (3) Unsupervised Learning Procedures, Natural Information Processing Systems, Colorado, November 1995
* Course: AutoSched Scheduling System, AutoSimulations, Washington DC, August 1995
* Course: FACTOR 5.2 Scheduling System, Pristker Corporation, Washington DC, July 1995
* Course: QUEST: The Simulation Language, Deneb Robotics, Washington DC, June 1995
* NSF Sponsored Workshop, "Mechatronics," California Polytechnic Institute, California, June 1995
* Course: Simulation with ARENA, Systems Modeling Corporation, Washington DC, May 1995
* Tutorials: (1) Intelligent Data Modeling, (2) Neural Networks and Statistical Methods, St. Louis, Missouri, November 1994
* NSF Sponsored Workshop, "Parallel Processing", Illinois State University, Illinois, June 1994
* Tutorials: (1) From Backpropagation to Neurocontrol, (2) Visual Pattern Recognition with Neural Networks, and Short Course: Genetic Algorithms: Theory and Applications (INNS), San Diego, June 1994
* Evolutionary Computation, Natural Selection, Inc., Sponsored by IEEE, California, April 1994
* Tutorials: (1) Rapid Prototyping for Robotics and Automation (2) The Automated Factory of the Future, IEEE Robotics and Automation, San Diego, April 1994
* L*.net Simulation Modeling of Local Area Networks (CACI), Arlington, Virginia 1993
* Reinforcement Learning: A Machine Learning Workshop (University of Massachusetts), Amherst, Massachusetts, July 1993
* Neural Networks, Statistics, and Information Theory in Sequence Analysis (Intelligent Systems for Molecular Biology-NIH), Bethesda, Maryland, June 1993
* Automatic Data Collection and Bar Code Systems (Automatic Identification Manufacturers, Inc.), Athens, Ohio, May 1993
* Berkeley Initiative for Soft Computing (BISC) Extended Seminar (Fuzzy Logic), University of California, Berkeley, California, March 1993.

Presented and published extensively over 90 papers in renowned technical journals, conference proceedings including several invited papers and international presentations
• Former Member of the Editorial Board of IIE Transactions
• Member of the Editorial Board of the ASEM Journal
• Former Member of International Journal in Machine Intelligence

BOOKS AND PROCEEDINGS

Mehta, B. and Rabelo, L. (Editors) Proceedings of the Ohio Aerospace Institute Neural Networks Symposium and Workshop, Sponsored by NASA Lewis Research Center and Wright Patterson Air Force Base, 1995.

REFEREED PUBLICATIONS (JOURNALS AND BOOK CHAPTERS)

Rabelo, L., Alptekin, S. A Hybrid Neural and Symbolic Processing Approach to Flexible Manufacturing Systems Scheduling INTELLIGENT HYBRID SYSTEMS Abraham Kandel and Gideon Langholz (Editors), The CRC Press, pp. 380 - 405, 1992.

Rabelo, L., Jones, A., Yih, Y. Job Shop Scheduling ENCYCLOPEDIA OF OPERATIONS RESEARCH AND MANAGEMENT SCIENCE S. Gass and C. Harris (Editors), Winter 1996.

Keyvan, S., Rabelo, L. Adaptive Control, Diagnosis, and Process Monitoring INTELLIGENT ENGINEERING SYSTEMS C. H. Dagli, S. R. Kumara, and Y. C. Shin (Editors), ASME Press, New York, 1991.

Rabelo, L, Jones, A., and Yih, Y. A Hybrid Approach Using Neural Networks, Simulation, Genetic Algorithms, and Machine Learning for Real-Time Sequencing and Scheduling Problems GENETIC ALGORITHMS APPLICATIONS Vol. 2: New Frontiers, edited by P. Stampoultzis, CRC Press, pp. 197-220, 1995.

Holter, T., Rabelo, L, Jones, A., Yih, Y., and Yao, X. Integration of Neural and Genetic Algorithms for an Intelligent Controller HYBRID INTELLIGENT SYSTEMS APPLICATIONS, edited by Jay Liebowitz, Winter 1996.

Mehta, B., Mehta, S. and Rabelo, L., Neural Network for Protein Prediction, Journal of Biomedical Systems, November 1997.

Rabelo, L., Jones, A. Job Shop Scheduling ENCYCLOPEDIA OF OPERATIONS RESEARCH AND MANAGEMENT SCIENCE S. Gass and C. Harris (Editors), Fall 2000.

Rabelo, L., Shastri, V. Neural Networks and Abductive Modeling Approaches for Multimedia Applications, Expert Systems: The International Journal of Knowledge Engineering and Neural Networks, May 1998.

Rabelo, L., Jones, A. Scheduling ENCYCLOPEDIA OF ELECTRICAL AND ELECTRONICS ENGINEERING John Webster (Editor),John Wiley & Sons, Winter 1999.

Gunasekera, J., Jia, Z., Rabelo, L. Development of a Neural Network Model for Cold Rolling Processes, Engineering Applications of Artificial Intelligence Journal, May 1998.

Rabelo, L., Avula, X. Adaptive Control of a Manipulator Using Artificial Neural Networks International Journal of Production Research, Taylor and Francis, Vol. 30, No. 2, pp. 315-336 , 1992.

Keyvan, S., Rabelo, L. Sensor Signal Analysis by Neural Networks for Surveillance in Nuclear Reactors IEEE Transactions on Nuclear Science, pp. 292 - 298, 1992.

Rabelo, L., Avula, X. Hierarchical Neurocontroller Architecture for Intelligent Robotic Manipulation IEEE Control Systems Magazine, Special issue on Neural Networks in Control Systems, April 1992, pp. 37-41.

Aylor, S., Rabelo, L., Alptekin, S. Artificial Neural Networks for Robotics Coordinate Transformation Computers&Industrial Engineering: An International Journal, Pergamon Press, Vol. 22, No. 4, pp. 481-493, 1992.

Keyvan, S., Ajaya, D., Rabelo, L., Applications of ANNs for Development of a Diagnostic Monitoring System in Nuclear Plants Transactions of the American Nuclear Society, May 1993.

Jones, A.., Rabelo, L., Yih, Y., Integration of Simulation, Neural Nets, Genetic Algorithms, and Machine Learning for FMS Scheduling International Journal of Computer Integrated Manufacturing, March-April 1995.

Rabelo, L., Bush, B., Jones, A., Using Genetic Algorithms for Job Shop Scheduling, Journal Mathematical Modelling and Scientific Computing, May 1998.

Rabelo, L., Yih, Y., and Jones, A., Knowledge-Based Reactive Scheduling Using the Integration of Neural Networks, Simulation, Genetic Algorithms, and Machine Learning IFIP WG5.7 Working Conference, pp. 444-455, 1995.

Sun, Y-L, Yih, Y., Rabelo, L., Jones, A. A Neural Network Based Scheduling System for Flexible Manufacturing Cells Commemorative Volume: The Materials Handling Engineering Division, edited by E. Malstron and I. Pence, The American Society of Mechanical Engineers, MH-Vol. 2, 1994, pp. 61-69.

Rabelo, L., Shastri, V., Device-Independent Color Correction for Multimedia Applications Using Neural Networks and Abductive Modelling Approaches, Scientific Computing&Automation, May 1996, Vol. 13 (6).

Rabelo, L. and Keyvan, S., Fuzzy ART for Diagnostic Monitoring in Nuclear Plants, Journal Mathematical Modelling and Scientific Computing, Special Issue on Neural Networks, (accepted May 2000).

Mehta, B., Mehta, S. and Rabelo, L., Using The General Regression Neural Network for Protein Prediction, Journal Mathematical Modelling and Scientific Computing, Special Issue on Neural Networks, (accepted May 2000).

PROCEEDINGS (Refereed and Non-Refereed)

Rabelo, L. Using System Dynamics to Sustain Growth in the Construction Industry, Information Systems Conference, June 2002.

Rabelo, L.and Shah, A, Supply Chain Management: Detecting Structural Changes. World Automation Congress Proceedings, Orlando, June 2002.

Rabelo, L.and Shah, A, Electronic Commerce Software Agents: The Featured-based Filtering Approach. World Automation Congress Proceedings, Orlando, June 2002.

Petterson, J. and Rabelo, L. A study and Simulation of the Entry of the New Generation of Wireless Communication Technology (3G) on the North American Market. Industrial Engineering Research Conference Proceedings, 2002.

Rabelo, L. Electronic Commerce Software Agents: How to Increase Their Machine IQ?. Industrial Engineering Research Conference Proceedings, 2002.

Rabelo, L. and Meade, P. Justification of Ongoing New Product/Process Development Using System Dynamics Modeling ?. Industrial Engineering Research Conference Proceedings, 2002.

Rabelo, L. and Meade, P. Analysis of Sustaining Growth in a Corporation using System Dynamics Modeling, IAMOT Conference Proceedings, Miami, 2002.

Rabelo, L. Support Vector Machiens for Electronic Commerce. Industrial Engineering and Management Systems Conference Proceedings, Cocoa Beach 2002.

Rabelo, L. System Dynamics Simulation of New Product Development. Industrial Engineering and Management Systems Conference Proceedings, Cocoa Beach 2002.

Rabelo, L. Recommender Software Agents: A Comparison Information Systems Conference Proceedings, Cocoa Beach June 2001.

Jia, Z., Rabelo, L and Gunasekera, J., Development of a Neural Network for the Flat Rolling Process Proceedings of the Sixth Artificial Neural Networks in Engineering (ANNIE) Conference, St. Louis,November, 1996.

Shastri, V. and Rabelo, L., Device-Independent Color Correction for Multimedia Applications Using Neural Networks and Abductive Modeling Approaches Proceedings of the International Conference on Neural Networks, ICNN' 96, Vol.4, June 3?6, 1996, 2176?2181

Rabelo, L., Yih, Y., and Jones, A,. Intelligent Scheduling for Agile Manufacturing Systems Proceedings of the 1996 Agile Manufacturing Systems Conference, (Iacocca Institute), Bethlehem, Pennsylvania, April 1996.

Bush, B. and Rabelo, L., Evolutionary Scheme for Adaptive Fuzzy Design in Mechatronics Proceedings of the NSF Mechatronics Workshop, San Francisco, California, June 13-15, 1996.

Bush, B., Kharoufeh, J., Rabelo, L., Development of an Evolutionary Scheme for Adaptive Fuzzy Design Proceedings of the Adaptive Distributive Parallel Computing Symposium, Dayton, Ohio, August 8-9, 1996.

Jones, A. and Rabelo, L., Genetic Computing and Job Shop Scheduling Proceedings of the International Conference on Intelligent Systems: a Semiotic Perspective, NIST, Gaithersburg, October, 1996.

Rabelo, L., Yih, Y., Jones, A., and Tsai, J. Intelligent Scheduling for Flexible Manufacturing Systems 1993 IEEE International Conference on Robotics and Automation, vol. III, pp. 810-815.

Keyvan, S., Rabelo, L., and Malkani, A. Nuclear Diagnostic Monitoring by Adaptive Resonance Theory Proceedings of the International Joint Conference on Neural Networks, and oral presentation (Top 20%), Baltimore , pp. 321 - 328, 1992.

Rabelo, L., Yih, Y., Jones, A., Witzgall, G. Intelligent FMS Scheduling Using Modular Neural Networks Proceedings of the 1993 International Conference on Neural Networks, San Francisco, California, and Oral Presentation, vol. III, pp. 1224-1229.

Rabelo, L. Flexible Manufacturing Systems Scheduling Using Q-Learning Proceedings of the World Congress on Neural Networks, (Top 20%) San Diego, California, 1994, pp. 378-385.

Rabelo, L., Avula, X. Hierarchical Neurocontroller Architecture for Intelligent Robotic Manipulation Proceedings of the IEEE Conference on Robotics and Automation, Sacramento, California, 1991.

Rabelo, L., Development of a Real-Time Learning Scheduler Using Adaptive Critics Concepts Proceedings of the OAI Neural Networks Symposium and Workshop, pp. 363-370, 1995.

Howard, T., Lacksonen, T., Rabelo, L., Neural Networks in the Search for an Optimal Chemical Reactor Series Proceedings of the OAI Neural Networks Symposium and Workshop, pp. 145-150, 1995.

Quiroga, L., Rabelo, L., Case Studies Using the Wang and Mendel Fuzzy Approximation Methodology, 4th Industrial Engineering Research Conference Proceedings, pp. 859-865, 1995.

Parks, C., Koonce, D., Rabelo, L., Judd, R., Sauter, J. A Model-Based Manufacturing Integration: A Paradigm for Virtual Manufacturing System Engineering, Computer and Industrial Engineering: An International Journal, Pergamon Press, Vol. 27, 1994.

Toure, S., Rabelo, L., Velasco, T., Artificial Neural Networks for Flexible Manufacturing Systems Scheduling Computers&Industrial Engineering: An International Journal, Pergamon Press, Vol. 25, pp. 385-388, 1993.

Hooks, K., Velasco, T., Rabelo, L., Enhancing CAI Through the Integration of Quality Control and CAD Computers&Industrial Engineering: An International Journal, Pergamon Press, Vol. 25, pp. 511-514, 1993.

Gilkinson, J., Rabelo, L., Bush, B., A Real World Scheduling Problem Using Genetic Algorithms Computer&Industrial Engineering, An International Journal, Pergamon Press, Vol. 29, pp.177-182, 1995.

Holter, T., Rabelo, L., Yao, X., Jones, A., Integration of Neural Networks and Genetic Algorithms for an Intelligent Manufacturing Controller Computer&Industrial Engineering, An International Journal, Pergamon Press, Vol. 29, pp.211-215, 1995.

Thomas, G., Gerth, R., Velasco, T., Rabelo, L., Using real-coded Genetic Algorithms for Weibull Parameter Estimation Computer&Industrial Engineering, An International Journal, Pergamon Press, Vol. 29, pp. 377-382, 1995.

Quiroga, L., Rabelo, L., Learning From Examples: A Review of Machine Learning, Neural Networks and Fuzzy Logic Paradigms Computer&Industrial Engineering, An International Journal, Pergamon Press, Vol. 29, pp. 561-567, 1995.

Hooks, K., Rabelo, L., Integrating Expert Systems and CIM Theory in the Creation of a Computer-Aided Inspection and Analysis System for Quality Control, 4th Industrial Engineering Research Conference Proceedings, pp. 295-302, 1995.

Rabelo, L., Jones, A, Yih, Y. Development of a Real-Time Learning Scheduler Using Reinforcement Learning Concepts Proceedings of the 9th IEEE International Symposium on Intelligent Control, Columbus, Ohio, August 1994, pp. 291-296.

Yih, Y., Rabelo, L., Jones, A. A Hybrid AI/Simulation Framework for FMS Scheduling Proceedings of the Conference: New Directions for Manufacturing and Communications, Tokyo, Japan, August 1-2, pp. 204-210, 1994.

Gerth, R., Bakshi, G., Rabelo, L. Comparisons of Ridge Regression and Backpropagation Networks Proceedings of the Fourth Artificial Neural Networks in Engineering (ANNIE) Conference, St. Louis, November, pp. 1205-1211, 1994.

Mehta, B., Roy, P., Rabelo, L. Using Fuzzy ARTMAP for the Prediction of Protein Secondary Structure Proceedings of the Fourth Artificial Neural Networks in Engineering (ANNIE) Conference, St. Louis, November, pp. 257-262, 1994.

Rabelo, L., Jones, A., Yih, Y. Development of a Real-Time Learning Scheduler for Dynamic Scheduling Proceedings of the International Symposium on Artificial Intelligence, Monterrey, Mexico, October 1994, pp. 119-126.

Rabelo, L., Kulak, F. Applications of the Neocognitron to the Part-Design Retrieval Problem Proceedings of the International Symposium on Artificial Intelligence, Monterrey, Mexico, pp. 87-93, 1994.

Kulak, F., Rabelo, L. Development of a Neocognitron Simulator for Group Technology Proceedings of the World Congress on Neural Networks, San Diego, California, 1994, pp. 535-540.

Rabelo, L, and Yih, Y. Development of a Two-Level Scheduling Prototype Using Artificial Intelligence Techniques for a "Systems" Company Proceedings of the 1994 Flexible Automation and Integrated Manufacturing Conference, Blacksburg, Virginia.

Rabelo, L., Yih, Y., Jones, A. An Intelligent Scheduling System for Manufacturing Proceedings of the International Symposium on Artificial Intelligence, Monterrey, Mexico, pp. 92-99, 1993.

Rabelo, L., Ma, H., Avula, X., Tsai, J. Hierarchical and Distributed Control of a Robotic Manipulator with Multiple Degrees of Freedom Using Neural Networks Proceedings of the First World Congress on Neural Networks, July 11-15, 1993, Portland, Oregon.

Rabelo, L., Yih, Y., Jones, A. An Artificial Intelligence Framework for FMS Scheduling Proceedings of the 1993 Flexible Automation and Integrated Manufacturing Conference, Limerick, Ireland, pp. 383-393.

Keyvan, S., Durg, A., Rabelo, L. Evaluation of the Performance of Various Artificial Neural Networks to the Signal Fault Diagnosis in Nuclear Reactor Systems Proceedings of the 1993 International Conference on Neural Networks, San Francisco California, vol. III, pp. 1719-1723.

Yih, Y., Rabelo, L., Jones, A., Witzgall, G. Development of Intelligent Scheduling Aids Using Simulation and Neural Networks Proceedings of the 26th Annual Simulation Symposium, 1993 Simulation Multiconference, Washington, DC, pp. 324-330.

Rabelo, L., Jones, A., Tsai, J. Using Hybrid Systems for FMS Scheduling 1993 IIE Proceedings of the Industrial Engineering Research Conference (IERC) (Invited Paper), pp. 471-475.

Jones, A., Rabelo, L. Integrating Neural Networks, Simulation and Genetic Algorithms for FMS Scheduling Proceedings of the Joint US/German Conference on New Directions for Operations Research in Manufacturing 1992, Germany, Springer-Verlag Lectures .

Rabelo, L., Avula, X., Ma, H., Malkani, A., Tsai, J. Planning and Control of a Robotic Manipulator Using Neural Networks Proceedings of the First IEEE Conference on Control Publications, Dayton, 1992, pp. I306 - I 311, 1992.

Jones, A., Rabelo, L. Real-Time Decision Making Using Neural Nets, Simulation, and Genetic Algorithms, Proceedings of the Second International Conference FAIM 92 (Flexible Automation and Information Management), Washington, D.C., pp. 746 - 757, 1992.

Rabelo, L., Bakshi, G., Malkani, A., Muthuswamy, B., Vila, J. Integration of Artificial Neural Networks and Simulation Proceedings of the Modeling and Simulation Conference, May 1, 1992.

Rabelo, L., Alptekin, S. Integrating Scheduling and Control Functions in Computer Integrated Manufacturing using Artificial Intelligence Computer and Industrial Engineering : An International Journal, Pergamon Press, 1989, vol. 17, pp. 101-106.

Gaber, T., Rabelo, L., Hosny, O., An Integrated Artificial Neural Network Model for Industrial Projects Risk Assessment Proceedings of the IEEE Engineering Management Conference, 1992, pp. 206-210.

Rabelo, L., Bakshi, G., Malkani, A. Design and Analysis of Flexible Manufacturing Systems using AI and Simulation Proceedings of the Second International Conference FAIM 92 (Flexible Automation and Information Management), Washington, D.C., pp. 758 - 769, 1992.

Keyvan, S., Rabelo, L., Malkani, A. Nuclear Reactor Condition Monitoring System Using Adaptive Resonance Theory Proceedings of the Fifth Conference on Neural Networks and Parallel Distributed Processing, Indiana University-Purdue University .

Hooks, K., Malkani, A., Rabelo, L. Application of Artificial Neural Networks in Quality Control Charts Proceedings of the Fifth Conference on Neural Networks and Parallel Distributed Processing, Indiana University-Purdue University.

Rabelo, L., Vila, J. A Hybrid AI Approach to Flexible Manufacturing Systems Scheduling: Procedural and Object-Oriented Comparisons Proceedings of the International Conference on Object Oriented Manufacturing Systems, Calgary, Canada, pp. 340 - 345, 1992.

Rabelo, L., Alptekin, S. A Hybrid Approach to FMS Scheduling Using Neural and Symbolic Processing Proceedings of the Joint US/German Conference on New Directions for Operations Research in Manufacturing 1991, Springer-Verlag Lectures, pp. 309 - 330, 1992.

Rabelo, L., Alasya, D. Artificial Neural Networks for Process Planning Proceedings of the Joint US/German Conference on New Directions for Operations Research in Manufacturing 1991, Springer-Verlag Lectures, pp. 331 - 345, 1992.

Rabelo, L., Keyvan, S. Nuclear Reactor Signal Analysis Using Fuzzy ART Proceedings of the International Fuzzy Systems and Intelligent Control Conference, 1992.

Rabelo, L., Avula, X. Intelligent Control of a Robotic Arm Using Hierarchical Neural Network Systems Proceedings of the International Joint Conference on Neural Networks, Seattle, 1991, pp. II747-II751.

Rabelo, L., Alptekin, S. Using Artificial Neural Networks for Flexible Manufacturing System Scheduling Proceedings of the Fifth International Conference on CAD-CAM, Robotics and Factories of the Future, Norfolk, Virginia, 1990.

Rabelo, L., Wu, H., Alptekin, S. Neural Networks as Decision Tools for CIM Proceedings of the American Society for Engineering Management Conference 1990, St. Louis, Missouri, pp. 217-222.

Vila, J., Rabelo, L., Deshmane, A. Applying ANNs of the Jordan Type to Job Sequencing Under Varying Environmental Inputs Proceedings of the IASTED Switzerland, June 25-27, 1990, pp. 308-312.

Alasya, D., Rabelo, L. An Intelligent System for Economic Development Proceedings of the IASTED International Conference on Artificial Intelligence Applications and Neural Networks, Zurich, Switzerland, June 25-27, 1990, pp. 255-257.

Rabelo, L., Alptekin, S., Kiran, A. Synergy of ANNs and KBESs for Intelligent FMS Scheduling Proceedings of the International Joint Conference on Neural Networks, San Diego, 1990, pp. I359-I366.

Rabelo, L., Alptekin, S. Adaptive Scheduling and Control Using ANNs and Expert Systems for a Hierarchical-Distributed FMS Architecture Proceedings of the International Conference on CIM, Troy, New York, IEEE Computer Society Press, 1990, pp. 538-545.

Alptekin, S., Rabelo, L. Integration of AI Technologies for FMS Scheduling Working Papers on AI in MS/OR, edited by TIMS, selected by the Working Papers on AI in Management Science Committee, Vol. 1, Fall 1989, pp. 1-9.

Rabelo, L., Kim, D., Erdogan, T. Integrating Digital and ANNs using Neurocontrollers Proceedings of the International Joint Conference on Neural Networks, Washington D.C., January 1990, pp. II191-II194.

Rabelo, L., Alptekin, S. Simulation in Design of Multiprocessor Systems for CIM Proceedings of the Summer Computer Simulation Conference, 1989, Society for Computer Simulation, 1989, pp. 370-375.

Rabelo, L., Alptekin, S. Synergy of Neural Networks and Expert Systems for FMS Scheduling Proceedings of the Third ORSA/TIMS Conference on Flexible Manufacturing Systems: Operations Research Models and Applications, edited by K. Stecke and R. Suri, Elsevier Science Publishing Company Inc., 1989, pp. 361-366.

Rabelo, L. A study and Simulation of the Entry of the New Generation of Wireless Communication Technology (3G) on the North American Market, INFORMS Telecommunications Conference, Boca Raton, Florida, March 2002.

Rabelo, L. Neural Networks and eCommerce (Keynote) University of Aguas Calientes Aguas Calientes, Mexico, March 2001.

Rabelo, L. A Hybrid Scheduler Using Neural Nets & Genetic Algorithms (Invited) INFORMS Washington DC May 1996 Conference.

Rabelo, L. Computational Intelligence (Invited) Electrical Engineering Week, Technological University of Panama, Panama, June 1996.

Thomas, G., Rabelo, L, and Hjartarson, G., Self-Organizing Genetic Algorithms (Invited) INFORMS New Orleans Fall 1995 Conference.

Rabelo, L. Adaptive Scheduling Using the Integration of OR and AI (Invited) Seminar Given to Manugistics, Inc., Rockville, Maryland, November, 1995. Hybrid Scheduling (Invited) Seminar Given to AutoSimulations, Inc, Bountiful, Utah, December 1995.

Rabelo, L. A Hybrid Intelligence View of Scheduling (Invited) INFORMS New Orleans Fall 1995 Conference.

Rabelo, L. Neural Networks in Control (Invited) Cal Poly, NSF sponsored workshop, June 1995.

Rabelo, L. Integrating OR and AI for Production Sequencing and Scheduling 1995 NSF Design and Manufacturing Grantees Conference, San Diego, California, January 1995.

Rabelo, L. Neural Networks and Genetic Algorithms, 2-day Workshop given to ICE Consultants, Inc., Reykjavik, Iceland, December 1994

Mehta, B., Rabelo, L. Using Fuzzy ARTMAP for Prediction of the Secondary Structure of Proteins Workshop (Invited) IEEE EMBC, Baltimore, MD, November 2, 1994.

Rabelo, L., Sahinoglu, M. Using Neural Networks and Dynamic Programming for real-time Learning ORSA/TIMS Joint National Meeting, Detroit, October 1994.

Jones, A., Rabelo, L., Yih, Y. Artificial Intelligence Approach to Real-Time Sequencing Problems (Invited) ORSA/TIMS Joint National Meeting, Detroit, October 1994.

Rabelo, L., Vila, J. Artificial Neural Networks, 3-Day Workshop, supported by InfoTech and TRP, Springfield, Illinois, September 26-28, 1994.

Rabelo, L., Soft Computing and Neural Networks (Invited), ITESM, Tampico, Tamaulipas, Mexico, 1995; Soft Computing (Invited), ITESM, Leon, Guanajuato, Mexico, September 1995; Neural Networks (Invited), University of Baja California, Mexicali, Mexico, November 1994; Computers and Neurons (Invited), ITESM, Torreon, Mexico, October 1994; Artificial Neural Networks (Invited), ITESM Toluca, Mexico, September 1994; Principles of Artificial Intelligence (Invited), ITESM, Tuxtla Gutierrez, Mexico, October 1994; Genetic Algorithms (Invited), University of Baja California, Mexicali, Mexico, February 1996;

Jones, A., Rabelo, L., Yih, Y. Intelligent Scheduling Systems Fifth Annual Meeting of the Production and Operations Management Society (POMS), Washington D.C., October 8-11, 1994.

Rabelo, L. Multimedia in Engineering Education Panel "Multimedia" (Invited), Midwestern Computer Conference, Illinois State University, Normal, Illinois, 1994.

Rabelo, L., Avula, X., Ma, H. Neuro-Control of a Robotic Manipulator with Multiple Degrees of Freedom (Invited) IMACS World Congress, Atlanta, Georgia, July 1994.

Yih, Y., Rabelo, L., Jones, A. An Artificial Intelligence Framework for Intelligent Scheduling Systems Workshop at the AAAI'94 Conference, Seattle, Washington, August 1994.

Rabelo, L. Neural Network: an Introduction for Engineers (Invited) XIX Simposium Internacional de Sistemas Computacionales, Monterrey, Mexico, February 24-26, 1994.

Rabelo, L., Jones, A., Yih, Y. Candidate Rule Selection for FMS Scheduling (Invited) TIMS/ORSA Joint National Meeting, Chicago, May 16-19, 1993.

Rabelo, L. OU- CIM Experience (Invited) National Science Foundation, CIM Summer Workshops for Undergraduate Engineering Faculty, University of Missouri, Rolla, Missouri, 1993.

Rabelo, L. Hybrid Artificial Intelligence (Invited) Compuexpo 92, Panama City, Panama, 1992.

Rabelo, L. Integration of Artificial Neural Networks and Knowledge-Based Systems: A Case Study (Invited), Neural Information Processing Systems, Post Meeting Workshop, November 29 - December 1, 1990, Keystone, Colorado.

Alptekin, S., Rabelo, L. Modeling Artificial Neural Networks for Adaptive FMS Scheduling (Invited) TIMS/ORSA Joint National Meeting, Las Vegas, May 7-9, 1990.

Rabelo, L., Alptekin, S. Increasing the Degree of Automation in CNC Systems Using AI and the integration of CAD/CAM Manufacturing International 1990, (ASME, IEEE, IIE) Atlanta, March 25-28, 1990.

Rabelo, L., Alptekin, S. Simulation in Design of Parallel Processing Systems for Manufacturing Xth International Conference on Production Research, Nottingham, England, August 14-17, 1989.

Rabelo, L., Alptekin, S. Using Hybrid Neural Networks/Expert Systems for Intelligent Scheduling in Flexible Manufacturing Systems International Joint Conference on Neural Networks (IJCNN), sponsored by the IEEE and the International Neural Network Society, (IEEE, INNS), Washington D. C., June 18-22, 1989.

* National Institute of Standards and Technology (NIST), 1992 - Present.
* National Science Foundation (NSF), 1992 - Present.
* Ohio Board of Regents, 1993 - Present.
* Ohio University Research Committee, 1993 - Present.
* Journal of Intelligent Manufacturing, 1990 - Present.
* International Journal of Production Research, 1991 - Present.
* European Journal of Operations Research, 1991 - Present.
* International Journal of Systems Automation, 1991 - Present.
* Mathematical and Computer Modeling and Scientific Computing Journal, 1992 - Present.
* Journal of Optimal Control Applications and Methods, 1992 - Present.
* International Journal of Computer Integrated Manufacturing, 1992 - Present.
* Interfaces (TIMS), 1993 - Present.
* Computers & Industrial Engineering: an International Journal, 1990 - Present.
* IIE Transactions, 1993 - Present.
* IEEE Control Systems Magazine, 1992 - Present
* IEEE Transactions on Neural Networks, 1992 - Present.
* IEEE Transactions on Systems, Man, and Cybernetics 1992 - Present.
* IEEE Transactions on Robotics & Automation, 1994 - Present.
* IEEE Transactions on Engineering Management, 1994 - Present.
* Computers in Industry 1993 - Present.
* IEEE Conference on Control Applications, 1992 - Present.
* IEEE Decision and Control Conference, 1993 - Present.
* IEEE Robotics and Automation Conference, 1993 - Present.
* American Control Conference, 1993 - Present.
* Flexible Automation and Information Management Conference, 1992 - Present.
* Industrial Engineering Research Conference (IERC), 1993 - Present.
* International Journal of Computational Intelligence and Organizations, 1995 - Present

* NASA Fellowship Application (National Aeronautics and Space Administration- KSC, May - July 2002). $12,000.00

* Adaptive Scheduling Using the Integration of Neural Networks and Genetic Algorithms National Institute of Standards and Technology, $50,000.00. Principal Investigator, June 1995 - December 1996. Under the NIST SIMA (Systems Integration for Manufacturing Applications) Program.

* Finite Scheduling Using Rule-Based and Discrete-Event Simulation System II, AMP Incorporated, R&D Facility, Harrisburg, PA, $25,000, (with OU matching), Principal Investigator, January 1996 - June 1996.

* Finite Scheduling Using Rule-Based and Discrete-Event Simulation System I, AMP Incorporated, R&D Facility, Harrisburg, PA, $25,000, (with OU matching and NIST Support), Principal Investigator, March 1995 - August 1995 (In collaboration with the NIST/NAVY Scheduling and Shop Floor Data Collection Program).

* Feasibility Studies of a Scheduler (based on Discrete-Event Simulation) for a New Facility (AMP Korea Inc.,1996).$20,000, Principal Investigator,January - May 1996. This work developed several scheduling and simulation models for a new facility in Korea and produced standard benchmarks.

* Software Systems Integration for the Apparel Manufacturing Industry, Defense Logistic Agency, 150,000.00, 1995-1998.

* Learning Modules Using the Integration of Artificial Intelligence and OR Methodologies, National Science Foundation, $40,000.00 (with OU Matching), DDM, Production Systems, Principal Investigator, June 1994-June 1996.

* Development of an Optimization Engine for Tower Spotting (ICE Consultants Inc., 1995-1996). ICE Consultants Inc. (Iceland) produces the package "ICE TOW". ICE-TOW is the dominant package in Europe to design the distribution network for a power system. The work developed used Genetic Algorithms to decide "autonomously" the tower locations. The cost function used quantitative and qualitative parameters (e.g., embellishment). $35,000.00, Principal Investigator.

* Adaptive Scheduling Ohio Research Challenge Program, $6,000.00 Principal Investigator, 1995-1995.

* A Two Level Scheduling Prototype Using Genetic Algorithms, Baker Funds, $10,000.00, Principal Investigator, July 1994- July 1995.

* Adaptive Pattern Recognition Scheduling for Computer Integrated Manufacturing Cells, National Institute of Standards and Technology, $20,000.00, Principal Investigator, June - December 1992.

* Genetic Scheduling for Computer Integrated Manufacturing Cells, National Institute of Standards and Technology, $20,500.00, Principal Investigator, June - December 1993.

* Adaptive Pattern Recognition Scheduling for FMS, Ohio Research Challenge Program, $6,000.00, Principal Investigator, 1992 - 1993.

* Intelligent Control System for Nuclear Reactors, Ohio Research Challenge Program and support from DOE, $20,000.00, Principal Investigator, 1992- 1993.

* Genetic Algorithms for Multi-Criteria Compromise Analysis in FMS Scheduling, Ohio University Research Committee, $5,880.00, Principal Investigator, 1993.

* Hybrid Controller for Floating Robots, 1804 Research Funds, $52,000.00, Co-Principal Investigator, 1992-1993.

* Artificial Neural Networks for Proteins Prediction, Stocker Funds, ENT, $8,000.00, Principal Investigator, 1993.

* Computer Aided Design Integration, Stocker Funds, ENT, $6,000.00, Co-Principal Investigator, 1993.

* Multimedia Teaching/Learning Modules for Production Scheduling, Ohio Research Challenge Program, $4,000.00, Principal Investigator, 1994 - 1995.

* Several Software Packages donated by Research Agreements with Industry to "do" Research and Improvement with AI Techniques ($300,000.00). Several proposal funded to develop the Industrial Robotics Lab, CIM Lab, and Automation Lab ($250,000.00).

Note (about Funding): There are several funded proposals not included in the previous list. These funded proposals are with organizations such as DARPA and the Advanced Technology Program (NIST-Department of Commerce). There were written using the "consortium" approach. The "consortium" approach involves several business organizations, government labs, and Universities working together. I prompted and negotiate some of these consortiums. The proposals are in the range of $2.5M - $7M.

* Dhar, A. Agile Supply Chain Management, MS, Spring 2003.
* Shah, A. Supply Chain Management Using the Theory of Constraints, MS, Spring 2003.
* Tachikawa, N. Modeling of a Manufacturing Company; Case Study: Honda Automotive Seat Covers Suppliers, MS, Summer 1992. In Collaboration with NEC and HONDA of America.
* Lee, H-H. Design of FMS by Integrating Artificial Neural Networks and Simulation, MS, Fall 1992.
* Ma, H. A Decision Support System for Robotic Motion Planning Using Artificial Neural Networks, MS, Fall 1992.
* Tsai, J., Genetic Algorithms for Multi-Criteria Optimization, MS, Winter 1993.
* Mannariat, L. Development of a Feature-Based Process Planner: an Industrial Case Study, MS, Fall 1993.
* Quiroga, L. Learning Fuzzy Logic from Examples, MS, Fall 1993.
* Sahinoglu, M. Development of a Real-Time Scheduler Using Adaptive Critics Concepts, MS, Fall 1993.
* Hooks, K. Integration of CAD and CAI Using AI, MS, Winter 1994.
* Kulak, F. Development of a Neocognitron Simulator for Group Technology Classification, MS, Winter 1994.
* Holter, T. Design and Development of an Intelligent Manufacturing Controller, MS, Spring 1994.
* Toure, S. Hybrid Approach to the TSP using Neural Networks and OR Techniques, MS, Spring 1995.
* Onyejekwe, E. Using Neural Networks for Color Error Reduction in Multimedia Applications, MS, Spring 1995.
* Uwais, M. Integrating AHP and Expert Systems for Pharmaceutical Industries Portfolio Management, MS, Summer 1995.
* Bush, B. Development of Fuzzy Systems Using Evolutionary Optimization, MS, Winter 1996.
* Mehta, M. Using Recurrent Networks to Generate Process Plans from Experience and GT, MS, Winter 1997.
* Yao, X. Adaptive Pattern Recognition Scheduling for FMS, MS, Fall 1996.
* Wongsangwate, P. Adaptive Dispatching Using Genetic Algorithms and Neural Networks, MS, Fall 1996.
* Wilson, D. Learning Scheduling Rules from Near-Optimal Examples, MS, Fall 1996.

* Meade, Phillip, Ph.D. Dissertation: Using Chaos and Complexity Theory for Strategic New Product Development, August 2003.

* Gorana, Knezevic, Ph.D. Dissertation: Measuring Process Quality, IEMS, University of Central Florida, 2003.
* Fang, Xuefeng, Ph.D. Dissertation: VLSI Design for Artificial Neural Vision Learning System, ECE, Ohio University, Winter 1994.
· Ali, Zulfikar, Ph.D. Dissertation: Effects on Temperature Dependent Thermal Cylindrical Ingots, ME, Ohio University, Spring 1996.
* Jia, J., Ph.D. Dissertation: A Methodology for Cold Rolling Processes, November 1997.

* Chen, S. Development of a Neural Network Based Software Package for the Automatic Recognition of License Plate Characters, ISE, Ohio University, Fall 1991.
* Kellmeyer, D. Detection of Highway Warning Signs in Natural Color Images, ISE, Ohio University, Winter 1992.
* Malkani, A. Implementing FuzzyARTMAP on a Hypercube (iPSC), ECE, Ohio University,, Summer 1992.
* Lee, Y-G An Algorithm for Solving the TSP with 3D Polygonal Barriers, ISE, Ohio University, Summer 1992.
* Lockesh, R. Prediction of Proteins Secondary Structure, ME and Biomolecular Engineering Program, Ohio University, Summer 1992.
* Soni, R. Computer-Aided Modeling and Simulation of Molecular Systems and Proteins Secondary Structure, ME and Biomolecular Engineering Program, Ohio University, Fall 1992.
* Ansari, N. Handwritten Character Recognition by Using Neural Networks Based Methods, ECE, Ohio University, Summer 1992.
* Reddy, S. Object Oriented Cell Controller for a Manufacturing Shop Floor, ECE, Ohio University, Fall 1993.
* Yang, Y-W. Segmentation and Clustering in Neural Networks for Image Recognition, ECE, Ohio University, Winter 1994.
* Lanka, S. Object-Oriented Simulation at Real-Time for a Manufacturing Facility, ECE, Ohio University, Spring 1994.
* Roy, P. Prediction of Proteins Secondary Structure using FuzzyARTMAP, ME and Biomolecular Engineering Program, Ohio University, Summer 1994.
* Matta, V. Prediction of Proteins Secondary Structure using the Probabilistic Neural Network, ME and Biomolecular Engineering Program, Ohio University, Fall 1994.
* Thomas, G. Genetic Algorithms in Reliability Engineering, ISE, Ohio University, Fall 1994.
* Rajani, S. 3-D Modeling and Finite Element Analysis of the Tibia, ME and Biomolecular Engineering Program, Ohio University, Fall 1994.
* Gautam, S. Computer-Aided Modeling and Analysis of the Human Femur, ME and Biomolecular Engineering Program, Ohio University, Winter 1995.
* Huang, Z. Computer-Aided Modeling and Simulation of Molecular Systems and Protein (WT-bGH) Structure Minimization, ME and Biomolecular Engineering Program, Ohio University, Spring 1995.
* Kanumury, R. Integrating Business and Engineering Processes in Manufacturing Environments Using AI Concepts", ECE, Ohio University, Spring 1995.
* Bakshi, G. Comparison of Ridge Regression and Neural Networks for Modeling Multicollinear Data, IMSE, Ohio University, Winter 1996.

* ARTIFICIAL NEURAL NETWORKS IN MANUFACTURING (ISE 626)
The purpose of this course is to introduce artificial neural networks and demonstrate their possible applications in engineering systems, Industrial and Systems Engineering Department, Ohio University, (Fall 1991, Fall 1992, Winter 1994, Winter 1995, Winter 1996).

* COMPUTER INTEGRATED MANUFACTURING SYSTEMS (ISE 640 to be changed to ISE650)
In this course advanced CIM concepts are introduced such as: Hierarchical and Distributed Control, Computer Networking and Manufacturing Systems Modeling, Design for Manufacturability and Assembly, Multi-Criteria Manufacturing Decision Making, and Manufacturing Enterprise Modeling, ISE Department, Ohio University, (Winter 1992, Winter 1993, Winter 1994, Winter 1995).

* COMPUTER INTEGRATED MANUFACTURING (ME 560)
In this course CIM concepts are introduced such as: CAD, CAM, CNC, Process Planning, Manufacturing Process, Group Technology, CAD/CAM Integration, and CIM. This course is Lab Intensive (Several CNC machines and software packages are introduced). Mechanical Engineering Department, Ohio University. This course was developed and team-taught with Dr. R. Judd from ECE (as the principal instructor) in Fall 1993.

* ROBOTICS FOR MANUFACTURING SYSTEMS ENG. (ISE 414/514)
In this course robotics and manufacturing automation concepts are introduced. This course is Lab intensive (using the "new" Robotics and CIM Lab).

* GENETIC ALGORITHMS (ISE 710)
In this course Genetic Algorithms and Evolutionary Computation concepts are introduced. Their applications and mathematical developments are emphasized. In addition, their connections to other paradigms such as Fuzzy Logic and Neural Network are also introduced (Fall 1994,Fall 1995).

* ARTIFICIAL NEURAL NETWORKS USING OPERATIONS RES. TECHNIQUES (ISE 726)
This course offers in-depth coverage of the latest developments in artificial neural networks using OR techniques. While the course concentrates most heavily on gradient -descent based neural networks, dynamic programming and numerical techniques are also described (Spring 1996).

* THE WORLD OF VIRTUAL REALITY AND MULTIMEDIA (TIER III)
An interdisciplinary course to prepare undergraduate students for the scientific and technical environments of the future, emphasizing computers, computer hardware and software, evolution and history of virtual reality.

* COMPUTER INTEGRATED MANUFACTURING LABORATORY
Active role in the development of a CIM cell for the College of Engineering at Ohio University.

* BUILDING BLOCKS OF AUTOMATION LABORATORY Development of an Undergraduate Laboratory to teach principles of automation for the ISE Department at Ohio University (with PLCs, Sensors, and Automation Modules).

* INDUSTRIAL ROBOTICS LABORATORY
Active role in the development of the Industrial Robotics Laboratory for the College of Engineering at Ohio University.

SIGMA XI The Scientific Research Society
IIE Institute of Industrial Engineers
IEEE Institute of Electrical and Electronics Engineers
ASEE American Society for Engineering Education
INFORMS Institute for Operations Research and the Management Sciences

* UCF IEMS Department Engineering Management Committee 2001.
* UCF IEMS Department Real-Time Simulation Committee 2001.
* UCF IEMS Department Research Committee 2001.
* UCF Department Search Committee for "IEMS Chair", 2001 - 2002.
* OU University Search Committee for "Dean of Engineering and Technology", 1995 - 1996.
* OU University Curriculum Council, 1994 - 1996.
* OU Computer Education Advisory Committee, College of Engineering, OU, 1991 - 1992
* OU Intergraph CAD/CAM Steering Committee, College of Engineering, OU, 1991 -1996
* OU CIM College-wide Advisory/Action Committee, 1991 - 1996
* OU College Curriculum Committee, 1995 - 1996
* OU Department Search Committee 1994
* OU Department Search Committee 1993
* OU Department Search Committee 1992

* INDUSTRIAL AND SYSTEMS ENGINEERING DEPARTMENT OUTSTANDING PROFESSOR by ISE Undergraduate Students Review, 1991-1992.
* INDUSTRIAL AND SYSTEMS ENGINEERING DEPARTMENT OUTSTANDING PROFESSOR by ISE Undergraduate Students Review, 1994-1995.
* INDUSTRIAL AND MANUFACTURING SYSTEMS ENGINEERING OUTSTANDING PROFESSOR by ISE Undergraduate Students Review, 1995-1996.
* COLLEGE OF ENGINEERING AND TECHNOLOGY (OHIO UNIVERSITY) OUSTANDING PROFESSOR (RECIPIENT OF THE PRIZE "RUSS AWARD") by College of Engineering and Technology Review, 1995-1996.

* NASA Fellow, National Aeronautics and Space Administration, 2002.
* Massachusetts Institute of Technology SDM Fellow, MIT., 2001
* Who's Who in Science and Engineering (Marquis - Selected by Peer Review) 1995, 1996, 1997.
* Who's Who (Strathmore's - Selected by Peer Review) 1996, 1997.
* Award "Distinguished Alumni" given by the Technological University of Panama, September 1995.
* Stocker ENT funds and Ohio Research Office, Ohio University, to attend workshops and organize conferences during 1991, 1992, 1993, 1994, and 1995 ($10,000.00).
* NSF and GERMAN Operations Research Society, to attend US and Germany Joint OR Conference in Hagen, Germany, 1992 ($900.00).
* Grant for Neural Networks Research and Process Control, Summer 1990 ($4,000), from the State of Illinois
* SME Gift Grant to attend Neural Networks and Manufacturing Clinic in Detroit, 1991 ($700.00).
* Dean of the School of Mines and Metallurgy Grant (UMR) to attend Systematic Course and Conference in Neural Networks at Boston University , 1991 ($750.00).
* Grants-in-Aid of Research Award from SIGMA XI, The Scientific Research Society to further research in Neural Networks and FMS, December 1989 ($500).
* University Faculty Grant to attend the 1990 National Communications Forum by NEC Information Industry Faculty Selection Committee($1,250).
* Several UMR and industry grants (AT&T and IBM) to attend various short courses, seminars and conferences, 1988 - 1990 ($3,000).
* Grant for Summer Proposal Preparation, UMR Associate Dean for Research and Graduate Affairs, May 1990 - August 1990 ($5,000).
* Honor Scholarship for graduate studies in Engineering Management at UMR "Ricardo Galindo Quelquejeu" by Panamanian Society of Executives, 1987 ($5,000).
* Honor Scholarship for undergraduate studies in Engineering at the Technological University of Panama, 1978 - 1983 ($7,000).
* Gold Medal "Guillermo Andreve" for educational achievements in 1978 (given to 45 students - from 12,000).