Professor of Electrical and Computer Engineering

I. Bio-sketch

A. M. Meystel is a Professor of Electrical and Computer Engineering at Drexel University. Since 1995, he is also with the National Institute of Standards and Technology (NIST), Gaithersburg, MD as a Senior Scientist, then as a Guest Researcher. He developed a theory of the multiresolutional (multigranular, multiscale) intelligent systems architecture and implemented it as the Planner-Navigator-Pilot in several applications including Autonomous Dune Buggy (1984-1987), robotic spray-casting machine (1987-1990), and Smart Power Plant (1991-1995). Since 1995 until now, he participates in the NIST-guided work on teams of unmanned autonomous vehicles.

Dr. Meystel has developed a number of courses both graduate and undergraduate related to Robotics and Intelligent Systems. Among his graduate courses the following are taught on a regular basis: Principles of Computer Engineering, Knowledge Engineering, Computer Aided Design. His Senior Design projects include such topics as "Rule Based Intelligent Controller for Soccer Playing." Several groups of freshmen have developed projects on "Learning Baby Robot." The last project was used for student's performance enhancement in two Philadelphia Middle Schools.

He is an author of more than 300 papers and 17 books including "Autonomous Mobile Robots: Vehicles with Cognitive Control", World Scientific, 1991. He was one of the initiators of the Annual IEEE International Symposium on Intelligent Control, and served as a general and program chair at four out of 14 meetings. Dr. Meystel is on the IEEE Technical Committee on Intelligent Control and is the moderator of the internet-based AICS-L list: a discussion group on Architectures for Intelligent Control Systems. He is a member of the Editorial Board of the Wiley Series on Intelligent Systems

II. List of Research Projects

  1. Intelligent Systems Architectures (212015), 1998-2000, National Institute of Standards and Technology. Theory of Architectures and Protocols of Symbolic Processing. Application: Teams of Autonomous Systems

  2. Design and Development of Large Complex Systems (212012), 1997-1998, Dept. of Commerce. Methodology of Design of Planning/Control Systems. Application: Manufacturing Systems and Robotics

  3. Generalization Algorithms (Learning Systems) (212001), 1996-1997, Dept. of Commerce. Development of the Theory of Conceptual Learning. Application: "Baby-Robot" Project.

  4. Intelligent Modeling in Complex Systems, 1991-1996, Fluor Daniel. Development of the simulation toolbox for solving various problems of industrial plants design.

  5. Smart Plant: Optimization of Large Systems, 1990-1998, Fluor Daniel. Algorithms of optimal planning and control. Application: Delmarva Power Station.

III. List of Publications

  1. A. Meystel, Autonomous Mobile Robots : Vehicles with Cognitive Control, World Scientific, Singapore, 580 p., 1991

  2. A. Meystel, "Learning Algorithms Generating Multigranular Hierarchies",Eds. B. Mirkin et al, Mathematical Hierarchies and Biology, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Vol. 37, , American Mathematical Society, 1997, pp. 357-384

  3. A. Meystel, "Architectures, Representations, and Algorithms for Intelligent Control of Robots", in Intelligent Control Systems: Theory and Applications, eds. M. M. Gupta, N. K. Sinha, IEEE Press, New York, 1997, pp. 732-788

  4. A. Meystel, "Multiresolutional Umwelt: Toward a Semiotics of Neurocontrol", Semiotica, v. 120, No, 3-4, 1998, pp. 343-380

  5. A. Meystel, "Robot Path Planning", The Encyclopedia of Electrical and Electronic Engineers, Wiley, New York, 1998, pp. 571-581


IV. Titles of recent Doctoral dissertations

  1. P. Filipovich, Hierarchical Feedback Control System, Drexel University, 1997

  2. R. Nawathe, Analysis and Design of Multiresolutional Fuzzy Variable Structure Controller, Drexel University, 1997

  3. S. Uzzaman

V. Key words that cover the research expertise

  1. intelligent systems,

  2. intelligent control,

  3. knowledge engineering,

  4. theory of generalization,

  5. autonomous robots,

  6. motion planning,

  7. behavior generation

  8. multiresolutional representation

  9. applied semiotics