This article has multiple issues. Please help improve it or discuss these issues on the talk page . (Learn how and when to remove these messages)
|
Maamar Bettayeb | |
---|---|
Born | Beni Amrane, Boumerdès Province, Algeria | June 7, 1953
Alma mater | |
Scientific career | |
Fields | |
Institutions | |
Thesis | Approximation of Linear Systems: New Approaches Based on Singular Value Decomposition (1981) |
Doctoral advisor | Professor Leonard M. Silverman |
Maamar Bettayeb (born 7 June 1953) is a control theorist, educator and inventor. He is the author of publications on understanding the singular value decomposition and model order reduction.[ citation needed ] Bettayeb is also a promoter of scientific research. [1] [2]
Bettayeb continued his elementary and middle studies in Beni Amrane before joining the polyvalent high school of Tizi Ouzou in 1969 to follow his secondary studies in the Mathematics sector. After obtaining his baccalaureate in 1972 with a first class honors, he obtained a scholarship from the Algerian state to continue his university studies in the United States at the University of Southern California in Los Angeles. [3] [4] [5]
He obtained his bachelor's degree in automatic control in 1976, then his master's degree in 1978. [6] [7] [8]
Bettayeb obtained his PhD degree in 1981 following his defense of his thesis at the University of Southern California in the Department of Electrical Engineering, and whose title was "Approximation of Linear Systems: New Approaches Based on Singular Value Decomposition", under the supervision of Professor Emeritus Leonard M. Silverman. [9] [10] [11]
He worked as a research scientist for a year in Houston, Texas until 1982 in the Bellaire Research Center at Shell Oil Development Company, in the development of seismic signal processing deconvolution algorithms for the purpose of Gas and Oil exploration. Back in Algeria, he was recruited by the Center for Development of Advanced Technologies (CDTA) where he headed the instrumentation and control department from 1982 until 1988, and he led various research and development projects in the field of modeling, simulation, and control design of large scale energy systems with applications to nuclear, solar, wind and electric power systems. [12] [13]
He then emigrated to Saudi Arabia where he joined King Fahd University of Petroleum and Minerals in Dhahran where he worked for two years until 1990. [14] [15]
During the year 2000 he joined the staff of the University of Sharjah as a professor, where he held research and administrative positions. [16] [17]
Since September 2014, Bettayeb has been vice-rector at this university where he is in charge of graduation and research.[ citation needed ] He is also associate professor in automatic control and signal processing within the Center of Excellence in Intelligent Engineering Systems (CEIES) at King Abdulaziz University in a research laboratory. [18]
During his career, he published more than 350 scientific journal and conference papers. [19]
Bettayeb was an External Examiner for Electrical Engineering Programs at the University of Malaya in Malaysia from 2001 to 2004. [20]
He also participated as a visiting professor at the Helsinki University of Technology in Finland during the years 2001 to 2003, where he gave short courses, research seminars, workshops and participated in the examination of doctoral students.[ citation needed ]
Bettayeb has worked in scientific consulting for the petrochemical industries on behalf of several companies, and has also taken part in several R&D funded projects in the fields of control and signal processing applications. [21]
He chaired the International Symposium on Signal Processing and its applications (ISSPA) 2007 conference organized by University of Jijel, and was also the chair/co-chair of the program committee of several conferences. [22] [23]
He was Deputy Editor-in-Chief of the International Journal of Modeling, Identification and Control, is currently the Head of the Intelligent Systems Research Group at the University of Sharjah where he also led the strategic planning development of the research. [24] [25]
Bettayeb has been interested in recent years in research areas related to: [26] [27]
Professor Bettayeb has received several awards and honors during his career in recognition of his work, including: [69]
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency. In digital electronics, a digital signal is represented as a pulse train, which is typically generated by the switching of a transistor.
Linear predictive coding (LPC) is a method used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model.
A wavelet is a wave-like oscillation with an amplitude that begins at zero, increases or decreases, and then returns to zero one or more times. Wavelets are termed a "brief oscillation". A taxonomy of wavelets has been established, based on the number and direction of its pulses. Wavelets are imbued with specific properties that make them useful for signal processing.
In mathematics, a time series is a series of data points indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average.
Noise reduction is the process of removing noise from a signal. Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree. Noise rejection is the ability of a circuit to isolate an undesired signal component from the desired signal component, as with common-mode rejection ratio.
Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. While this initially appears to be a chicken or the egg problem, there are several algorithms known to solve it in, at least approximately, tractable time for certain environments. Popular approximate solution methods include the particle filter, extended Kalman filter, covariance intersection, and GraphSLAM. SLAM algorithms are based on concepts in computational geometry and computer vision, and are used in robot navigation, robotic mapping and odometry for virtual reality or augmented reality.
In mathematics, a wavelet series is a representation of a square-integrable function by a certain orthonormal series generated by a wavelet. This article provides a formal, mathematical definition of an orthonormal wavelet and of the integral wavelet transform.
Bernard Widrow is a U.S. professor of electrical engineering at Stanford University. He is the co-inventor of the Widrow–Hoff least mean squares filter (LMS) adaptive algorithm with his then doctoral student Ted Hoff. The LMS algorithm led to the ADALINE and MADALINE artificial neural networks and to the backpropagation technique. He made other fundamental contributions to the development of signal processing in the fields of geophysics, adaptive antennas, and adaptive filtering. A summary of his work is.
Matching pursuit (MP) is a sparse approximation algorithm which finds the "best matching" projections of multidimensional data onto the span of an over-complete dictionary . The basic idea is to approximately represent a signal from Hilbert space as a weighted sum of finitely many functions taken from . An approximation with atoms has the form
Geophysical survey is the systematic collection of geophysical data for spatial studies. Detection and analysis of the geophysical signals forms the core of Geophysical signal processing. The magnetic and gravitational fields emanating from the Earth's interior hold essential information concerning seismic activities and the internal structure. Hence, detection and analysis of the electric and Magnetic fields is very crucial. As the Electromagnetic and gravitational waves are multi-dimensional signals, all the 1-D transformation techniques can be extended for the analysis of these signals as well. Hence this article also discusses multi-dimensional signal processing techniques.
GPS/INS is the use of GPS satellite signals to correct or calibrate a solution from an inertial navigation system (INS). The method is applicable for any GNSS/INS system.
Yasuo Matsuyama is a Japanese researcher in machine learning and human-aware information processing.
Wavelets are often used to analyse piece-wise smooth signals. Wavelet coefficients can efficiently represent a signal which has led to data compression algorithms using wavelets. Wavelet analysis is extended for multidimensional signal processing as well. This article introduces a few methods for wavelet synthesis and analysis for multidimensional signals. There also occur challenges such as directivity in multidimensional case.
V John Mathews is an Indian-American engineer and educator who is currently a Professor of Electrical Engineering and Computer Science (EECS) at the Oregon State University, United States.
Video super-resolution (VSR) is the process of generating high-resolution video frames from the given low-resolution video frames. Unlike single-image super-resolution (SISR), the main goal is not only to restore more fine details while saving coarse ones, but also to preserve motion consistency.
Dimitri Van De Ville is a Swiss and Belgian computer scientist and neuroscientist specialized in dynamical and network aspects of brain activity. He is a professor of bioengineering at EPFL and the head of the Medical Image Processing Laboratory at EPFL's School of Engineering.
Tapan Kumar Sarkar was an Indian-American electrical engineer and Professor Emeritus at the Department of Electrical Engineering and Computer Science at Syracuse University. He was best known for his contributions to computational electromagnetics and antenna theory.
Mário A. T. Figueiredo is a Portuguese engineer, academic, and researcher. He is an IST Distinguished Professor and holds the Feedzai chair of machine learning at IST, University of Lisbon.
Jerry M. Mendel is an engineer, academic, and author. He is professor emeritus of Electrical and Computer Engineering at the University of Southern California.
{{cite book}}
: CS1 maint: others (link){{cite book}}
: CS1 maint: location missing publisher (link) CS1 maint: others (link){{cite book}}
: CS1 maint: others (link){{cite book}}
: CS1 maint: others (link){{cite journal}}
: CS1 maint: DOI inactive as of November 2024 (link){{cite journal}}
: CS1 maint: DOI inactive as of December 2024 (link){{cite journal}}
: CS1 maint: DOI inactive as of November 2024 (link)