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Ganesan Profile
Subramaniam Ganesan, Ph.D.
Professor
Electrical and Computer Engineering Department
105 DHE; (248) 370-2206; Fax: (248) 370-4633
ganesan@oakland.edu
secs.oakland.edu/~ganesan

Ph.D., Indian Institute Science, 1979
  • Joined Oakland University in 1986
  • Chair of CSE dept., Oakland University, 1991-98.
  • Currently: Professor Dept Electrical and Computer Engineering.
  • Director, Real Time and DSP System Laboratory (RTDL)
  • Associate Director, PDMC center
  • Member, Center for Robotics and Advanced Automation (CRAA).
  • 1984-86 Faculty member, Western Michigan University
  • 1983-84 Visiting Professor, Concord University, Montreal, Canada
  • 1979-80 DAAD Fellow, Ruhr University, Bochum, West Germany
  • 1971-83 Scientist, National Aeronautics Laboratory, India
  • Senior Member of IEEE
  • Research grants from Texas Instruments, Motorola, RPS and Electrocon Companies, Chrysler, International Technology Connection (ITC)
  • Guiding two full-time and two part-time Ph.D. students

RESEARCH

  • Divisible Load Scheduling; Condition Based Maintenance
  • Real Time DSP/Multiprocessor Systems for Specific Applications
  • Model Based Systems design
  1. Multiprocessor Architecture. Cache memory and multiprocessors are used now increasingly for higher throughput. Bus contention and Cache coherency are the main issues to be considered in such systems. Research on different architectures, performance analysis, cache memory control, and multiple cache coherency protocol is being pursued. This research has applications in high speed microcomputer system design, re-configurable architectures.
  2. Real Time Multiprocessor Systems for Specific Application. The aim is to design, simulate, and analyze multiprocessor systems and parallel programs/algorithms for different applications. Presently working on: Multiple microprocessor based systems for automotive control, implementation of wavelet transform correlation, spectral analysis, vibration analysis, recovery of signals buried in noise, and identification of abnormality in ECG using WT transforms.
  3. DSP Processor Based Systems. Research is directed at developing DSP processor based systems and algorithms for automotive engine knock/misfire detection, data encryption system for computer communication, active noise cancellation, fuzzy logic based engine controller, and field programmable gate array (FPGA) based digital systems.

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