KEYNOTE II:

Dr. Muataz Hameed Salih, (Senior Staff  Manager, Flex, Penang, Malaysia)

Biography:

Dr. Muataz H. Salih received the B.Sc. and M.Sc. degrees from the Dept of Computer Engineering from University of Technology, Iraq, in 1998 and 2002, respectively. In Sept 2013, he earned a PhD degree in Computer Engineering, with specialization in FPGA Embedded Multiprocessor SoC. From Sept. 1998 to March 2003, he was a research engineer in Military Industrialization Corporation of Iraq. From Oct. 2003 to June 2008, he was a lecturer and manager of engineering faculty’s LABS in the faculty of Engineering of Al-Kalamoon private university, Syria. From July 2008 to July April 2011, he was a Researcher at Underwater Robotic Research Group at USM. Nov. 2013 to Oct 2018, he is a Senior lecturer at UniMAP, Malaysia. Since Oct. 2018, he is FPGA Senior Staff Manager at Flex company. He is IR4.0 and Intelligent Automation lead of Flex Penang Cluster. He is SMIEEE, CEng, MIET and IACSIT Senior Member. His research interests and working area on designing digital systems using FPGA technology, FPGA-SoC design, system architect, embedded systems, computer system architecture, microprocessor architecture, active jamming system for laser missiles, IR4.0 transformation, Cybersecurity and Intelligent Automation.

Talk Title: Parallelism of Signal Processing for IR 4.0, Beyond Limits

Industrial manufacturing is undergoing its 4th revolution, so called Industry 4.0 (I4.0), with digitization and connectivity enabling the path beyond smart manufacturing towards intelligent factories defined by greater machine automation and greater agility; where data is transforming business. One significant challenge in designing a system is managing ordering dependencies between multiple real-time computations. Dependences can arise in many ways in multiple contexts. For example, a dependency can occur between two processes at coarse level when one process waits for a message or signal to arrive from another process, such as sending width adjustment control bytes to conveyors after the Wi-Fi connectivity handshaking signal. Dependency also arise in the fine-grain read-and-write operations (traditional Read-After-Write, Write-After-Write and Write- After-Read). Managing dependencies is key, as dependencies can not only limit parallel performance, but also affect correctness. For example, a data dependence that crosses cybersecurity layers boundary creates a need to synchronize or communicate between the layers. Analyzing where data dependencies exist, gives an understanding of the consequences for parallelism and correctness even there is no prior mapping of what aspect of the computation caused the sequence relation in the first place. Industrial architects have sought to overcome such problems using computing platforms such as industrial PCs, microprocessors and microcontrollers, or general-purpose graphic processors. While these platforms are accurate and very effective in certain tasks, they did not fulfil the requirements for deterministic low-latency compute with enough performance within the power consumption budget. Instead a platform was needed that had efficient concurrent and parallel architecture capable of hard real-time, high- performance compute; sufficiently low power, with I/O flexibility for the connectivity and the ability to integrate strong cyber-security to protect it.