Iridology Research Group (About)
Introduction to Iridology (Dr. Tassadaq)
Anatomy Behind Iridology (Umbar Waraich)
Iridology based Health Diagnosis System (Dr. Tassadaq)
Iris based Dysfunctional Lungs Identification System (Engr. Abdul Malik)
Iris for Stress Identification (Areeb Agha)
Live Practice of Iridology and Discussion (Dr. Bashir Choudhry)
 
 
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.

www.tassadaq.ucerd.com
UCERD Gathering Intellectuals Fostering Innovations
Unal Center of Educaiton Research & Development
UCERD Pvt Ltd Islamabad gives Iridology related education, research and develop products.
UCERD team performs disease pre-diagnosis using iridology map, and machine learning algorithms on high performance computing (HPC) machines.

About Iridology:
Iridology is an alternative medicine that can tell the health state of the human body systems and individual organ by just looking into the eye.
Iridologists use the iridology chart as a main reference to perform eye analysis.
Traditionally, iridologists have been performing eye analysis in a manual way, which is by using a slit lamp, a magnifying glass, and a plastic iridology chart. As the technology evolves, manual software is developed whereby the chart is drawn onto eye images with the help of a mouse cursor. This work therefore proposes an automatic approach to draw iridology chart automatically onto eye images by using image processing techniques and an iris boundary scanning approach.

Workshop on Iridology for Health-care


UCERD Rawalpindi
Supercomputing Center
UCERD Murree