Main Industrial and Research Projects

Summary

Project Title Automatic Endoscope KSM: A Parallel Super Microcomputer Development of Parallel System for Signal Processing Image transmission via low bandwidth wireless channels in hostile environment. Content based image retrieval system for trademark logo’s     Embedded System for Endoscope Navigation Hardware Software Codesign of Embedded Systems  RFID-based Monitring and Tracking of Elderly in a Smart Home Multi-core Embedded Systems: Computer Aided NoC/MPSoC Design and Simulation Techniques CAD Tools for Multi/Many-core NoC and Heterogeneous Computing System Design.

Role and Contribution Founding Member Project Leader Co-investigator Project Leader Principal Investigator   Principal Investigator Principal Investigator Principal Investigator Principal Investigator Principal Investigator

Project Duration and Sponsoring Agency 1987-1992 Olympus Optical Co. Tokyo 1989-1993 Institute of Industrial Automation, (KRL) Pakistan 1991-1993 NSRDB, Pakistan 1995-1997 E&ME College/Core, Rawalpindi 1998-2000 Trademarks & Patent Registry 2000-2004 NSERC, Canada 2005-2008 NSERC, Canada 2006-2007 CMC and NSERC, Canada 2010-2016 NSERC, Canada 2018-2019 NSERC, Canada

Outcome of the Project Prototype automatic colonoscope developed. 3 US patents accepted. Developed 256 and 1024 node high performance parallel systems. TMS320 DSP & T800 transputer based parallel system developed and implemented. Developed fault-tolerant image compression algorithms and prototype image receiver/ transmission systems. Image feature extraction for indexing trademark logos. Trademark database architecture design, searching techniques and Internet interfacing. Hardware-Software Codesign of high performance & fault-tolerant embedded System. Embedded Systems on Programmable Chips and CAD tools for Embedded System RFID based wireless tracking system that care providers can use to remotely monitor people with dementia or other disabilities. Development of state of the art NoC design and Simulation Techniques and CAD tools. Development of  CPU-GPU Co-scheduling and Partitioning Techniques.

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