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Welcome to Semantic System Research Group

Semantic Systems Research Group (SSRG) at the NUST School of Electrical Engineering and Computer Science (SEECS), National University of Sciences & Technology (NUST) has demonstrated outstanding performance and excellent professionalism by carrying out high quality research work of international standard in distributed computing and Multi-Agent Systems (MAS).

Semantic Systems Research Group conducts research in broad domains including but not limited to:


Health Life Horizon:Design and Implementation of Open Source HL7 Version 3 Solution for E-Health Services

The aim of this project is to focus on applied research for developing Health Level 7 V3 based software framework to provide interoperable healthcare services. Initially, the plan is to design and implement HL7 V 3 basic domains i.e. laboratory, and patient administration. In the second phase, we plan to integrate SOA to HL7. Thirdly, we will propose an ontology-based HL7 system to achieve interoperability through semantics. The ultimate goal is to define HL7 as Semantic web services (

Semantic Based  Web Application Security (SWAS)

Recent survey shows that around 80% of the attacks are being deployed at application layer of OSI model and more than 90% applications are vulnerable to the attacks. Existing technique have proved to be ineffective to detect Web application attacks. We propose a Semantic Based Web Application Security (SWAS) that is a novel approach based on paradigm shift from the existing security techniques. We propose ontologies that specify context of attacks semantically and generate rules autonomously for mitigating these attacks(

Autonomous Semantic Grid (Semantic Web services and software agents interoperability)

This project focuses on the implementation of Autonomous Semantic Grid realization based on integration of Multi Agent Systems and Grid Service Architecture. Major focus is on the multi semantic languages interoperability and formalization of the system using Pi-ADL .NET (

µHPC (Micro High Performance Computing)

The increasing disparity between the processor and memory speeds leads toward significant performance degradation of the computing systems and networks.  Energy is one of the major growing concerns for ICT system globally. This project addresses these issues by designing hierarchical layered memory (higher level caches), hybrid HDD, and hybrid SSD for computing systems.

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