Department of Computing
Research Projects Managed by Dept. of Computing
The complete Name of this project is CollAborative Multicore Programming Using Scientific Java Messaging through the PMI2CONNECT Program. This project has been funded by British Council Pakistan. The total funding amount is 39,688.95 British Pounds. Short Description of this project is as follows
Main aims and objectives of this proposal include:
- Collaborative research and development of MPJ Express (http://mpj-express.org) software co-authored by the two project co-leaders,
- Provide training to support staff working at the High Performance Computing (HPC) Laboratory at SEECS,
- Knowledge dissemination workshops at SEECS by post-doctoral and senior researchers from the University of Reading,
- Joint production of a parallel computing book.
The project is a joint effort of SEECS, NUST and the University of Reading, UK. The project is in progress right now.
The complete Name of this project is Capacity building of Lady Health Workers in rural Mardan, NWFP through the use of ICT based Telemedicine. This project has been funded by USAID,HEC and ISIF ASIA. The funds for this project are 126,181 US Dollars. The following is the short description for this project:
Jaroka tele-healthcare project aims to provide quality healthcare to rural patients and disaster hit communities by connecting them with Medical Specialists through Lady Health Workers equipped with mobile phones in rural areas of Mardan, NWFP. The project is a joint effort of NUST (SEECS), UM Healthcare Trust and APPNA. The project is in progress right now.
The complete name of this project is Establishment of Grid Node at SEECS. This project was funded by HEC, Pakistan. The funding amount was 34.832 Million Rupees. Short description of this project is as follows:
This project focuses on establishment of a reasonably high power grid node which can take active part in experiments being conducted around the world on Grid technologies.
This project has been completed successfully.
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
Visit Project Website
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.
Visit Project Website
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.
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.
There are a few on-going projects in the domain of medical image texture analysis. The areas of interest include brain tumours, liver and prostate cancer. The aim is to make the process of medical diagnosis more accurate, efficient and objective. The project is in collaboration with the University of Warwick, UK. PhD studentships in UK may become available for people working in the project. The project is a joint project between PRIME labs and VisPro.
Active research is being carried out at PRIME Labs to identify the various types of anomalies that occur on a wide area network. One such network is the one supported by SLAC (Stanford Linear Accelerator Center) which connects to as many as 14 different nodes spread all over the globe. The project is in collaboration with the Wisenet Labs and funding for a Research Associate position is available. Network data from SLAC is available and the project is being carried out for Stanford.
Pakistan has one of the worst maternal and infant mortality rates in the developing world (237 in 1000 women die during labour and 97 in a 1000 children die during or immediately after birth). Our project aims to analyse health demographics of pregnant women all over Pakistan to develop techniques that could indicate if a pregnancy could result in to mortality. The project is in collaboration with Dow University of Health Sciences.
Image texture analysis to develop techniques for efficient texture classification and segmentation is an active area of research. The PRIME Labs and VisPro are carrying out active research in the area. Primary database used for experimentation is VisTex.
This project aims to develop a training system consisting of a Surgical Training Robot and a Simulator. This training system will initially serve the means to develop an environment where surgeons will become experienced with the use of robots for surgeries. As a first step skills will be acquired in this field by surgeons through training in MIS and by ICT experts through designing and developing robots and software in this field. Accordingly human resource and support systems to perform minimal invasive surgery procedures from remote locations in Pakistan will be created. Project Funding of PKR 39.78 million has been acquired from National ICT R&D Fund.
SRG has acquired a grant from Amazon to allow SEECS researchers to access its cloud services for academic research and has set up a Cloud Computing Research Study group with the aim of exploring cutting-edge technologies in this area. The aim of this project is to set up a prototype Eucalyptus cloud at SEECS to securely host data-intensive applications that utilize the Map Reduce framework for parallel processing.
The SRG NCSAT project- Network Configuration Security Assessment Tool
is an online network configuration generator for security-hardening
communication networks by following best-security practices provided
by NIST and NERC network protection profiles. Best security practices
are formalized using model-checking rules allowing a back end logic-based analyzer to automatically 1) highlight the most vulnerable parts of the network, 2) suggest security controls in terms of firmware and software patch upgrades where needed the most, and 3) suggest the most optimal security solution from a variety of alternatives according to the available budget available. This project is being developed together with and partially supported by a grant
from University College Dublin (UCD), Ireland.