National Center For Big Data And Cloud Computing

Project funded by Higher Education Commission Pakistan, inline with long term Vision 2025 of Government of Pakistan

More About Us
About Us

Our focus is to effectively utilize cloud computing for Big Data applications for solution to problems of national importance. With support of cloud computing resource limited resource devices can perform heavy data services to store, edit, generate, process and communicate media files such as audio, video, images, graphics and so on, even without large storage and computation power.

Our Vision

"People First: Developing social and human capital" has been identified as very first of the seven Pillars of the Vision 2025. In order to enhance collective competitiveness in the longer run and channelize and streamline energies and potential of Pakistani youth. One of the most important pillars is to create Knowledge Economy through higher education and research.

Research Verticals

Remote Sensing

The objective of this R&D activity is to develop a cloud computing based land-use and change detection system using remote sensing to assist Planning Agencies, Government organizations, environment monitoring agencies, individuals and organizations, to effectively obtain land-use and change detection statistics for planning and monitoring of the land surface and environment. A Remote Sensing system will be developed that will effective utilization cloud’s storage, computing and analytics resource for land-cover use and change detection.

Multimedia Streaming

The objective of this R&D activity is to develop a cloud computing based P2P live and on-demand multimedia streaming application to assist media houses, educational institutes, individuals and organizations, to stream live multimedia contents, with support of scalability feature to work effectively in diverse networking conditions and provision of high users quality of experience with increase in number of users. An open source P2P multimedia streaming system will be developed, that will effective utilization cloud computing, storage and analytics resource for multimedia streaming.

Cloud Computing

Gathering of digital data and computing analytics to ensure governmental regularization of revenue and citizens welfare from digital apps and IoT ecosystem. Map-based digital portal will be developed that provides citizens and governing bodies with visual analytics to understand complex municipal data e.g. a citizen can see the analytics of pollution, crimes, road conditions, load shedding timing, street light conditions of any postal code. Governing bodies can use data for policy making, and monitoring. The digital portal will have support of search engine, analytics and heat maps support.

Traffic Characterization

Vehicular traffic flow being a dynamic system, experiences perturbation because of new entrant vehicles at ingress. Causing shock waves which travels back in the traffic flow system causing congestions. Congestion, excessive acceleration and deceleration increases fuel consumption, emissions (CO2, CO, dust particles etc.) and accident's vulnerability. Traffic flow models will be devised using Wave propagation, Fluid Flow dynamics, Constraint/linear programming, Queuing theory and regression techniques for forecasting, congestion mitigation and ameliorating traffic flow.

We already published 40+ research papers successfully and more counting.


Impact Factor


Products Developed


Team Members

Our latest Products

Our Latest Blogs


Afghanistan Earth Quake Analysis Using Radar Remote Sensing!

On Wednesday, 22nd June morning, an earthquake of magnitude 5.9...


What’s the buzz word AI - Part 2!

In the previous episode, we discussed that intelligence has no single ...


What’s the buzz word AI - Part 1!

There are things that are quite easy for computers to do and then there are...

Latest Publications

Our Team

Dr. Nasru Minallah,PI

Dr Iftikhar,CO-PI

Dr Zawar,CO-PI

Dr Khurram Shehzad Khattak,

Waleed Khan,Team Lead

Muhammad Zeeshan,
Research Associate

Tufail Ahmad,Research Associate

Ehtisham Ur Rehman,
Research Assistant

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