Nazanin Sahab
The Department of Computer Science and Electronic
Engineering
University
of Essex, Wivenhoe Park
Colchester,
CO4 3SQ, UK
E-mail: nazanin <at> ieee.org <OR> nsahab<at>essex.ac.uk
My PhD:
I
am a PhD student in computer science and electronic engineering. My main
area of research is on type-2 Fuzzy Logic systems, and I am working with a
mobile robot as my test bed.
Fuzzy
logic system is a method close to human understanding using linguistic and
perceptions. Fuzzy logic systems have been used as controllers,
classifiers, noise canceller, and decision maker so far. They have been
also successfully used in many applications such as washing machines, food
processors, automobiles, and robots from the point of industrial
electronics and electronic consume. Type-2 fuzzy logic systems are a more
general form of usual (type-1) fuzzy logic systems while taking accounts
the uncertain membership value for each variable. Type-2 Fuzzy logic
systems are much better than type-1 fuzzy logic systems when large amount
of noise and uncertainty existing in systems and environments such as when
variable temperature, windy, and acoustic noises effecting our measurement
inputs and when having dynamics systems.
Publications:
Sahab, N.; Hagras, H., “An Adaptive
Type-2 Input Based Non-singleton Fuzzy Logic System for Real World
Applications”, IEEE
International conference on Fuzzy Systems, 2011 (in press)
N. Sahab, H. Hagras, “Adaptive
Non-singleton Type-2 Fuzzy Logic Systems: A Way Forward for Handling
Numerical Uncertainties in Real World Applications”, International Journal of Computers,
Communications & Control, Special issue on fuzzy sets and systems,
Vol. VI (2011), No. 3
(September), 2011
Sahab, N.; Hagras, H.; , "A type-2 nonsingleton type-2 fuzzy logic system to handle
linguistic and numerical uncertainties in real world environments," Advances
in Type-2 Fuzzy Logic Systems (T2FUZZ), 2011 IEEE Symposium on , vol.,
no., pp.110-117, 11-15 April 2011 (in IEEE Xplore)
Sahab, N.; Hagras, H.; ,
"A hybrid approach to modeling input
variables in non-singleton type-2 Fuzzy Logic Systems," Computational
Intelligence (UKCI), 2010 UK Workshop on , vol., no., pp.1-6, 8-10
Sept. 2010 ( in IEEE Xplore)
Qualifications:
·
PhD Student in Computer Science and Electronic
Engineering (The PhD status has been
confirmed in spring 2010)
(Type-2
Fuzzy logic, neuro-fuzzy, mobile robots)
·
Msc in Electrical
& Electronic Engineering (1
year master)
·
Msc in
Electrical Engineering (Control Systems) (long
period master)
(The subjects in
the program were neural networks, advanced math and other control system modules
such as digital control, modern control, adaptive control, nonlinear
control, fuzzy control, multi variable control systems)
·
Bsc in
Electrical Engineering (Electronics)
(Analysing
electronic circuits, micro processors, power system, control systems and
lots of physics and mathematics courses)
Brief Activities in the
University of Essex:
·
Preparing
materials and teaching in CE888 Lab related to c programming for fuzzy
logic in mobile robots
·
One of the previous organisers in the 2nd International
Computer Science and Electronic Engineering Conference (CEEC 2010) held in
the University of Essex
·
Presenting a tutorial on introduction to fuzzy logic
in the CEEC 2010 conference in University of Essex
·
Graduate lab assistant (GLA) in the University of
Essex
Some of previous Experiences:
I have
experiences in electronics in designing electronic boards, low power AC and
DC motor driver & controller, 8x51 hardware & software in C and
assembly, I/O hardware & software, and C and visual C++ programming for
hardware purpose. I have used MULTISIM (PSPICE) software to analysing
electronic circuits and PROTEL to design schematic and PCB. I have also experience in using
MATLAB and SIMULINK software for analysing control systems, graphs, and
analysing mathematic equations. From the point view of software skills, I
am also good at C and C++ programming for general purpose programming.
My Plans in Academia:
I am
interested in teaching following course materials in London, Bath, New
York, California, Strasburg, and larger cities:
1- Fuzzy logic
systems (type-1 and type-2 usual Mamdani)
2- Electrical
circuits and Digital/Analog Electronics
3- C
programming and some C++
4- Classical
control systems and MATLAB
5- General
Mathematics and MATLAB
6- Basic of
Robotics
7- Modern
control systems (though need jogging)
8- MCS-51 and
PIC Microcontrollers (though need jogging)
9- Neural
networks (though need jogging)
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