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Rakib Abdur

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Rakib Abdur

Senior Lecturer in Mobile Security


A probabilistic logic for resource-bounded multi-agent systems (2019)
Presentation / Conference
Nguyen, H. N., & Rakib, A. (2019, August). A probabilistic logic for resource-bounded multi-agent systems. Paper presented at 28th International Joint Conference on Artificial Intelligence

Resource-bounded alternating-time temporal logic (RB-ATL), an extension of Coalition Logic (CL) and Alternating-time Temporal Logic (ATL), allows reasoning about resource requirements of coalitions in concurrent systems. However, many real-world syst... Read More about A probabilistic logic for resource-bounded multi-agent systems.

Probabilistic resource-bounded alternating-time temporal logic (2019)
Presentation / Conference
Nguyen, H. N., & Rakib, A. (2019, May). Probabilistic resource-bounded alternating-time temporal logic. Poster presented at International Conference on Autonomous Agents and Multiagent Systems

This paper extends resource-bounded ATL (RB-ATL) with probabilistic reasoning and provides the syntax and semantics of the resulting logic, probabilistic resource-bounded ATL (pRB-ATL).

Model checking ontology-driven reasoning agents using strategy and abstraction (2019)
Journal Article
Rakib, A., & Faruqui, R. U. (2021). Model checking ontology-driven reasoning agents using strategy and abstraction. Concurrency and Computation: Practice and Experience, 33(2), https://doi.org/10.1002/cpe.5205

We present a framework for the modelling, specification and verification of ontology-driven multi-agent rule-based systems (MASs). We assume that each agent executes in a separate process and that they communicate via message passing. The proposed ap... Read More about Model checking ontology-driven reasoning agents using strategy and abstraction.

Smart space system interoperability (2019)
Conference Proceeding
Abdur, R. (2019). Smart space system interoperability. In Proceedings of the 3rd International Workshop on (Meta)Modelling for Healthcare Systems, (16-23)

This paper presents our research approach which uses and integrates the terminologies and inference mechanism towards the development of functionally correct systems for smart spaces, considering the recent advances in the area of ontology-based mode... Read More about Smart space system interoperability.

An Efficient Rule-Based Distributed Reasoning Framework for Resource-bounded Systems (2018)
Journal Article
Rakib, A., & Uddin, I. (2019). An Efficient Rule-Based Distributed Reasoning Framework for Resource-bounded Systems. Mobile Networks and Applications, 24(1), 82-99. https://doi.org/10.1007/s11036-018-1140-x

© 2018, The Author(s). Over the last few years, context-aware computing has received a growing amount of attention among the researchers in the IoT and ubiquitous computing community. In principle, context-aware computing transforms a physical enviro... Read More about An Efficient Rule-Based Distributed Reasoning Framework for Resource-bounded Systems.

A resource-aware preference model for context-aware systems (2018)
Journal Article
Uddin, I., & Rakib, A. (2018). A resource-aware preference model for context-aware systems. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 217, 3-13. https://doi.org/10.1007/978-3-319-77818-1_1

© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. In mobile computing, context-awareness has recently emerged as an effective approach for building adaptive pervasive computing applications. Many of... Read More about A resource-aware preference model for context-aware systems.

Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources (2017)
Journal Article
Uddin, I., Rakib, A., Haque, H. M. U., & Vinh, P. C. (2018). Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources. Mobile Networks and Applications, 23(1), 13-26. https://doi.org/10.1007/s11036-017-0899-5

© 2017, The Author(s). This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneous knowledge sources. A Protégé plug-in for rules extraction from distributed... Read More about Modeling and Reasoning about Preference-Based Context-Aware Agents over Heterogeneous Knowledge Sources.

A preference-based application framework for resource-bounded context-aware agents (2017)
Book Chapter
Uddin, I., & Rakib, A. (2017). A preference-based application framework for resource-bounded context-aware agents. In K. J. Kim, & N. Joukov (Eds.), Mobile and Wireless Technologies 2017, 187-196. Springer

Context-awareness is an essential component of mobile and pervasive computing. It refers to the concept that an application understands its context, reason about its current situation, and provide relevant information and/or services to the users. On... Read More about A preference-based application framework for resource-bounded context-aware agents.

A framework for implementing formally verified resource-bounded smart space systems (2017)
Journal Article
Uddin, I., Rakib, A., & Haque, H. M. U. (2017). A framework for implementing formally verified resource-bounded smart space systems. Mobile Networks and Applications, 22(2), 289-304. https://doi.org/10.1007/s11036-017-0808-y

© 2017, Springer Science+Business Media New York. Context-aware computing is a mobile computing paradigm that helps designing and implementing next generation smart applications, where personalized devices interact with users in smart environments. D... Read More about A framework for implementing formally verified resource-bounded smart space systems.

Modelling and reasoning about context-aware agents over heterogeneous knowledge sources (2017)
Journal Article
Ul Haque, H. M., Rakib, A., & Uddin, I. (2017). Modelling and reasoning about context-aware agents over heterogeneous knowledge sources. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 193, 1-11. https://doi.org/10.1007/978-3-319-56357-2_1

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017. This paper presents a conceptual framework and multi-agent model for context-aware decision support in dynamic smart environments based on heterogeneo... Read More about Modelling and reasoning about context-aware agents over heterogeneous knowledge sources.