Lihong Zhang, Ph.D.


Associate Professor
Electrical and Computer Engineering
Faculty of Engineering and Applied Science

Memorial University

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Dr. Zhang's research team is dedicated to addressing very-large scale integration (VLSI) design and implementation challenges in the modern submicron and nanometer technologies. The research activities cover electronic design automation (EDA), analog and mixed-signal integrated circuit design, digital system design and implementation, micro-electro-mechanical systems (MEMS) design and optimization, microfluidics and biosensors, wireless sensor networks, and microprocessor-based instrumentation for ocean and biomedical applications.



Dr. Zhang founded Computer-Aided Design Laboratory for Analog and Mixed-Signal VLSI Systems (CADLAMS) in the Faculty of Engineering and Applied Science at Memorial University in 2009. This state-of-the-art laboratory provides the following infrastructure for advanced research in the area of computer-aided design of analog and mixed-signal VLSI systems and circuits:

- Computing facilities: Sun Fire server, Supermicro servers, Dell workstations, a number of personal computers, commercial C++ class library software for efficient data types and algorithms, mathematical programming optimizer CPLEX, MOSEK optimization software, etc.

- Measuring instruments: function and arbitrary waveform generator, logic analyzer, semiconductor parameter analyzer, precision LCR meter, spectrum analyzer, digital source meter, multimeter and data acquisition system, low noise voltage preamplifier, ultralow noise current amplifier, etc.



Dr. Zhang's research team is supported by Natural Sciences and Engineering Research Council of Canada (NSERC), Canadian Foundation for Innovation (CFI), Government of Newfoundland and Labrador, Research and Development Corporation of Newfoundland and Labrador, Memorial University, and various companies (such as Agilent Tech., SUN, DELL, Keithley, Altera, BEEcube, IBM, Cadence, Synopsys, Mentor Graphics, etc) with their in-kind contribution.


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