Control Theory Publications of Kenneth Paul Baclawski

1. M. Kokar, K. Baclawski and Y. Eracar. Control Theory-Based Foundations of Self-Controlling Software. IEEE Intelligent Systems and their Applications 14(3):37-45. IEEE Computer Society, Los Alamitos, CA. (1999) [pdf][talk]

2. M. Kokar, K. Baclawski, K. Passino and J. Smith. Mapping an Application to a Control Architecture: Specification of the problem. In Self-Adaptive Software, Proceedings of the First International Workshop on Self-Adaptive Software. Lecture Notes in Computer Science1936 75-89. Springer-Verlag, Oxford. (April 2000) [pdf]

3. M. Kokar and K. Baclawski. Control theory based dynamic scan scheduler. Northeastern University. (2000)

4. M. Kokar and K. Baclawski. Control theory based distributed dynamic scan scheduler. Northeastern University. (2000)

5. M.M. Kokar and K. Baclawski. Self-Controlling Architecture Structured Agents. In Workshop on New Visions for Software Design and Productivity: Research and Applications. Software Design and Productivity Coordinating Group of the Interagency Working Group on Information Technology Research and Development . (December 13-14, 2001) [pdf]

6. Y. Xun, M. Kokar and K. Baclawski. Using a Control Architecture for Real-Time Dynamic Resource Allocation. Northeastern University, College of Engineering. (2002) [pdf]

7. M. Kokar, K. Baclawski, Y. Xun and K. Passino. Stability of Self-Adaptive Software: A Case Study. In Self Adaptive Software: Applications, Proceedings of the Second International Workshop on Self Adaptive Software . (May 2001) [pdf]

8. Y. Xun, M.M. Kokar and K. Baclawski. Control based sensor management for a multiple radar monitoring scenario. Information Fusion: An International Journal on Multi-Sensor, Multi-Source Information Fusion 5(4):49-63. Elsevier Science Publishers. (2004) [pdf]

9. C. Matheus, M. Kokar and K. Baclawski. Phase I Final Report: A Formal Framework for Situation Awareness. Vistology. (January 2003)

10. Y. Xun, M. Kokar and K. Baclawski. Using a Task-Specific QoS for Controlling Sensing Requests and Scheduling. In The 3rd IEEE Int. Sympos. Network Computing and Applications 269-276. (2004) [pdf]

11. K. Baclawski. Situation Awareness and Decision Making. (February 12, 2015) [pdf]

12. K. Baclawski. Applications of Self-Awareness, Situation Awareness and Feedback Control. College of Computer and Information Science, Northeastern University. (May 19, 2015) [pdf]

13. X. Zhang and K. Baclawski. A Scalable Data, Knowledge and Processes Management System (SKPMS). Northeastern University. (2015)

14. K. Baclawski, E.S. Chan, D. Gawlick, A. Ghoneimy, K. Gross, Z.H. Liu and X. Zhang. Framework for Ontology-Driven Decision Making. Applied Ontology 12(3-4):245-273. IOS Press, The Netherlands. https://bit.ly/2LYPszt (2017) [pdf]

15. G. Berg-Cross and K. Baclawski. Semantic Interoperability in the GeoSciences. In Ontology Summit 2016: Framing the Conversation: Ontologies within Semantic Interoperability Ecosystems. http://bit.ly/2fOGmsO (February 25, 2015) [links]

16. G. Berg-Cross and K. Baclawski. Semantic Integration for Geographically Distributed Sensor and Control Systems. In Ontology Summit 2016: Framing the Conversation: Ontologies within Semantic Interoperability Ecosystems. Ontolog Forum. Slide Presentation (March 31, 2016) [links]

17. K. Baclawski. Toward Combining Ontologies and Machine Learning for Improving Decision Making. In Ontology Summit 2017: AI, Learning, Reasoning, and Ontologies. http://bit.ly/2DVUS9D (March 15, 2017) [pdf][links]

18. K. Baclawski. Introduction to the SMADM Workshop. IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2022). (June 10, 2022) [pdf]

19. K. Baclawski. Introduction to Pandemics. IEEE Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA 2022). (June 10, 2022) [pdf]