Introduction to Real-time Computing and Artificial Intelligence (Slides)

Basic Understanding of Real-life Problems


High Performance Computing Machines


Introduction to Artificial Intelligence


Artificial Intelligence Tools and Techniques  (Slides)

Future of Artificial Intelligence


Discussion on AI for Health-care and Embedded Applications


1. Title: Supercomputing and Artificial Intelligence at Mirpure University of Science and Technology and DICE Mega Event of Innovation and Entrepreneurship December 2017.

2. Title:  Supercomputing System Architecture for High Performance Applications Department of Electrical Engineering, Capital University of Science and Technology Islamabad, on 1st  of February 2017.

3. Title:  Supercomputing System Architectures and Trends
University of Lahore, Gujrat Campus 2nd International Multidisciplinary conference (IMDC 2016), on 19th of December 2016

4. Title:  Low Power Low Cost Supercomputing System
International Conference on Energy for Environmental and Economic Sustainability (ICEEES2016) Lahore (PK) on 22nd of October 2016

5. Title: A Workshop on High Performance Computing
Chenab Group of Colleges Gujrat Pakistan on 12th of August 2016
Dr. Tassadaq Hussain.

He is a permanent faculty member at, Riphah International University.
He did his Ph.D. from Barcelona-tech Spain, in collaboration with Barcelona Supercomputing Center and Microsoft Research Center.

He is a member of HiPEAC: European Network on High Performance and Embedded Architecture and Compilation, Barcelona Supercomputing Center and Microsoft ResearchCentre Spain.
Until January 2018, he had more than 14 years of industrial experience including, Barcelona Supercomputing Centre Spain, Infineon technology France, Microsoft Research Cambridge, PLDA Italia, IBM Zurich Switzerland, and REPSOL Spain. He has published more than 50 international publications and filed 5 patents.

Tassadaq's main research lines are Machine Learning, Parallel Programming, Heterogeneous Multi-core Architectures, Single board Computers, Embedded Computer Vision, Runtime Resource Aware Architectures, Software Defined Radio and Supercomputing for Artificial Intelligence and Scientific Computing.
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With the rise of big data and an increase in digital electronics, unsupervised programming applications become the fastest growing field in artificial intelligence. It helps digital electronics to understand and process big data available in 1D (sound), 2D
(images) and 3D (video, etc.) data structures.
Scientific applications are computationally complex and intensive, and it is difficult to optimize the code. Therefore, a high
performance supercomputing architecture and intelligent software development frameworks are required to train these applications.

In this course, different processing system architecture, programming models, and artificial intelligence techniques will be taught to solve science and engineering problems. After the course, the student can understand the development of supercomputing system and use Artificial Intelligence and High Performance Computing  systems for driving available data.
The course covers:
Introduction to high performance computing.
Understanding of Real-life problems.
Use of Artificial Intelligence tools and techniques for real-life problems.

Real-time Artificial Intelligence based Systems

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