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Department of Computing Research

​Research Groups Managed by Dept. of Computing

High Performance Computing

SEECS has established a High Performance Computing (HPC) Center, which is the first of its own kind in the Pakistani academia. This HPC center comprises of Sun's mainframe supercomputers like the Sun Fire V890 and clusters built with Sun Ultra and SunBlade workstations. An objective of this high performance facility is to conduct research, development, and evaluation of parallel programming libraries, languages, and paradigms. This high performance computing center aspires to support scientific computing ranging from forming cosmological structures like galaxies to modeling neurons that form the basis of a brain. 

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Data Engineering for Large Scale Applications Research Group - DELSA

The Data Engineering for Large Scale Applications (DELSA) research group explores semantics, databases, and interoperable systems in scientific and business domains. The research group aims at broadening the focus of database and data management techniques beyond their traditional scope. Currently on-going projects include data warehousing over distributed heterogeneous information sources, object-oriented database and transformation tools, semantic interoperability, heterogeneous database integration, distributed database design, semantic modeling in domains including bio-informatics and mobile query processing and query optimization, to just name a few. Our general methodology is to build systems to evaluate the feasibility and usefulness of our ideas as appropriate 

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Semantic Systems Research Group - SSRG

To carry out research in semantic based system in the areas of Health Systems Interoperability, Web Application Security. The group has interest in high performance computing and storage systems as well and overall group objective is to prepare students for conducting research in a way to apply in real environment.
Application Domain

·         Semantics in Health Informatics

·         Web Application Security

·         High Performance Computing

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SEECS Distributed & Grid Computing Group

The aim of our research group is to gain expertise in Distributed and Grid computing field and develop applications through which we can practically utilize the strength of Distributed and GRID computing. Hard work of this group has resulted in our strong collaboration with internationally renowned institutes like California Institute of Technology (CALTECH), USA and University of the West of England (UWE) and CERN labs Geneva and number international research publication. 

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Smart Machines And Robotics Technology (SMART)

Smart Machines And Robotics Technology lab is interested in investigating problems in the areas of intelligent robotics, Simulator Design, Tele-Surgical Robots and cost effective applications for Tele-Health Care. SMART Lab is currently working in collaboration with Holy Family Hospital, Rawalpindi, for the project "Development of a Tele-Surgical Training Robot and Simulator". The project funding is currently under review by National ICT R&D Fund.

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Systems Research Group (SRG)

The Systems Research Group at SEECS is breaking new grounds in research in Distributed Operating Systems; Mobile and Ubiquitous Computing, Critical Infrastructure protection and Hypervisors. Researchers at SRG have partnered with both local and international companies to develop cutting-edge software tools to model and develop communication networks that monitor and control large system of systems in a secure and reliable manner

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KTH-SEECS Applied Information Security (AIS) Lab

KTH-SEECS Applied Information Security (AIS) Lab is a joint effort of NUST School of Electrical Engineering and Computer Science ( SEECS ) Pakistan and Royal Institute of Technology (KTH), Sweden. The work undertaken in the lab targets the broad field of information and network security. 

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Research Group of Remote sensing and Geoinformatic, RGRG

Center of Excellence in Remote Sensing & Geo-Informatics is formed in 2011 at SEECS, NUST. This group is actively involved in the research of remote sensing, satellite image processing and GIS. The group comprises a multi-disciplinary team of scientists with expertise in remote-sensing, image processing, GIS, computer vision and computer science. 

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Medical Image Analysis and Computer Vision

Medical Image Analysis and Computer Vision (MedIA) Research Group is an interdisciplinary group working on the computer-based interpretation of 2D and 3D image data sets from conventional and non-conventional image sources. We perform research in the domain of Medical Image Analysis and Visualization, Retinal Image Processing and Development of Computer Assisted Diagnostic systems for Ophthalmologic disorders, Object Recognition, Gesture Analysis, Tracking, Scene Understanding and Modelling.

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Center for Research in Modeling, Simulation & Vision (Crimson)

Crimson focuses on the exoteric and esoteric research:

1.       To cater Modeling, Simulation, Analysis and Optimization of complex research problems related to the disparate fields of Information and Communication Technology, and eventually contribute in decision support of acquisition and enablement of ICT in different components of national infrastructure.

2.       Identify and articulate the most important, impactful modeling and simulation research problems that must be addressed to maximize the impact of M&S paradigms in ICT technologies.

3.       Enable innovations in solving of complex engineering problems through effective use of new M&S technologies in different domains.

4.       Imply methods of computer vision for developing efficient automated surveillance systems to enhance security and efficient monitoring of processes of different domains, thus contributing in the efficiency of the national infrastructure.

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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:

1.       Collaborative research and development of MPJ Express ( software co-authored by the two project co-leaders, 

2.       Provide training to support staff working at the High Performance Computing (HPC) Laboratory at SEECS,

3.       Knowledge dissemination workshops at SEECS by post-doctoral and senior researchers from the University of Reading,

4.       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.

Jaroka TeleHealthcare Project

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.


Grid Node

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.


Health Life Horizon

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

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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.

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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.

Medical Image Analysis

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.

Network Anomaly Detection

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.

Predicting Maternal and Infant Mortality

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

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.

Development of a Tele-Surgical Training Robot and Simulator

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.

Cloud Computing over Amazon

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.

Network Configuration Security Assessment Tool

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.


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