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Information and Computer
Science Department
Research Profile
Wasfi G. Al-Khatib
Information and Computer Science Department
King Fahd University of Petroleum & Minerals
Information and Computer Science Faculty

25 Professorial Rank faculty members

2 PhD. Holders
• 1 Full Professor
• 5 Associate Professors
• 19 Assistant Professors
• 1 Instructor
• 1 Lecturer
ICS Research Areas
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Computer Vision, Image Audio and Video Processing and
Arabization.
Artificial Intelligence: Theorem Proving, Software and hardware
Verification, machine learning, pattern recognition, Uncertainty
and knowledge Reasoning
Computer Networks: Network design, Performance and
Optimization, Mobile and Distributed Computing Systems, HighSpeed Networks, Sensor Networks, Active Networks.
Operating Systems: OS for Mobile devices, Distributed Systems,
Multi-Agent Systems, Multimedia Systems, Computer Security.
Software Engineering: Object-oriented Software Engineering,
Software Design, Software Measurements
Computer Science Education and eLearning.
Computer Algorithms: Parallel Computing, Computational
Geometry, Randomized Algorithms, Grid Computing, Web-mining,
data mining.
Database Systems: Database Design, Query Optimization, XML
Databases, Multimedia Databases
Computer Vision, Image, Audio, and Video
Processing and Arabization

Muhammad Sarfraz
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Moustafa Elshafei (From Systems Engineering Dept.)
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Sabri Mehmoud
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Mohammed Balah
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Husni Al-Muhtaseb
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Wasfi Al-Khatib
ICS Research Projects: Computer Vision,
Image, Audio, and Video Processing
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Towards the Further Study of Designing with NURBS &
ANURBS: The CAD/CAM/CAE Tools, KFUPM/SABIC,
2002-2004.
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Automatic Text Recognition: A Need in Arabization,
KFUPM, 2001-2005
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Automatic Font Generation: A step ahead in
Arabization, KFUPM, 2000-2002
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Automatic Classification of music and speech in
digitized audio.
Recognition of License Plates
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Objectives
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Identification of car number plates in
complex background.
Plate extraction from poor images
with low contrast, glare affected
intensity profiles and motion blur.
Character Segmentation from plates
at high tilt or image skew.
Recognition under a rule base
pertinent to Saudi Arabian number
plate licensing standards.
Establishment of a standard number
plate database that doesn’t exist for
Saudi Arabia (Arabic plates) at the
moment.
Development of novel and promoted
techniques in the domain of Image
Processing, Computer Vision and
Machine Learning.
Proposed and Implemented Approach
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Approach
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Mainly involves three phases: Extraction,
Segmentation and Recognition
Achievements
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Contrast Adjustment using Histogram Stretching
Local feature extraction based on prevalent image edge
profiles and break lights.
Plate extraction using modified Fuzzy Vector/Euclidean
edge detection based techniques.
Character segmentation using a bi-cluster Fuzzy C-means
algorithms
Recognition of segmented character bitmaps using PCA.
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Regions
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Development possibilities with Intel
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A practical License Plate Recognition (LPR) System requires high quality
Image Grabbing Devices for operations that are, otherwise, very time
consuming under software simulators.
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An LPR system in practice is a part of an Intelligent Transport System.
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Supports numerous PC clusters for real-time data link.
Complex image processing tasks are performed in parallel using multiple computers.
A number of such operations that are built over hardware in real time
systems are
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Frame Averaging
Image Differencing
Color level conversions
Edge and Intensity Adjustment operations.
Segmentation and Labeling
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Significant work has been done in the recognition of US, EU, Japanese,
Korean and Chinese License plates. A practical License Plate Recognition
(LPR) System is needed NOT just for the local need of the Kingdom but also
at a global level which can include various other Arab countries in the
neighbor.
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The project will be useful for various applications and can be used to
enforce speed limits on expressways/roads, monitor traffic flows at traffic
signals, record parking statistics at lots, car theft monitoring, Border
Crossing, etc.
Arabization Projects
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Arabic Text-to-Speech (ATTS)
Two types of speech units were used independently: The
first consists of 375 diphones of Arabic sounds, and the
other has 178 allophones which cover Arabic and English
sounds. The project developed extensive Arabic linguistic
tools including: Arabic pronunciation rules, and tables of
irregularly pronounced Arabic words, and
allophone/diphone selection rules. A parametric model was
also built to synthesize the speech and to give the user
control over the pitch rate, stress, and speech tempo.
Arabization Projects
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Automatic Generation of the Arabic Diacritical
Marks
We formulated the problem of generating Arabic diacritized
text from unvoweled text using Hidden Markov Models
(HMM) approach. The word sequence of unvoweled Arabic
text is considered an observation sequence from an HMM,
where the hidden states are the possible diacritized
expressions of the words. The optimal sequence of
diacritized words (or states) are then obtained efficiently
using a Viterbi like Algorithm. The first phase of this project
has already achieved 94.5% letter accuracy.
Arabization Projects
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Arabic Speech Recognition System
• The project aims at building sufficient know how and a state•
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of-the-art research base for the development of the nextgeneration speech recognition techniques for the Arabic
language.
This project uses Carnegie Mellon University Sphinx-II,
Sphinx-III and Sphinx-IV ASR engines and tools as a base for
building a state-of-the-art large-vocabulary speakerindependent continuous Arabic ASR systems.
The project involves building a large Arabic speech corpus,
an Arabic phonetic dictionary, training Arabic triphone
parametric models, and development of extensive tools for
modeling Arabic natural language.
The project is executed jointly with the Center of Speech and
Phonological Science at King Abdulaziz City of Science and
Technology.
Target application: Automatic TV/Radio news transcription.
Arabization Projects
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Neural Network based Speech recognition.
The proposed project aims at investigating various
structures for ANN/HMM models for phoneme
recognition or next generation Arabic Speech
recognition. Carnegie Mellon Sphinx-4 will be used
as our testing platform.
Automatic Classification of Speech
and Music
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Music reduction/removal from documentaries
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Speech Segments Extraction
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Improving audio coding/compression
• Automatic speech recognition
• Indexing and retrieval
• Speaker recognition
Feature
Selection
Feature Extraction
Process
Classifier
Classification
Process
Automatic Classification of Speech and
Music: Methodology
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Newly Proposed Features
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RMS of Lowpass Signal
Mean of Discrete Wavelet Transform (DWT)
Variance of Discrete Wavelet Transform (DWT)
Range of Zero Crossings
Variance of Mel Frequency Cepstral Coefficients (MFCC)
Previously Used Features
• Spectral Flux
• Percentage of Low Energy Frames
• Linear Predictive Coefficients (LPC)
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Contribution of extracted features studied
using Fuzzy C-Means Clustering
Classification Frameworks
• Neural Networks
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• Multilayer Perceptron (MLP)
• Radial Basis Function (RBF)
Statistical Models
• Hidden Markov Model
Automatic Classification of Speech and
Music: Prototype System
Artificial Intelligence
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Madala Rama K. Krishna Rao
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Kanaan Faisal
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Emad El-Sebakhy
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Tarek El-Bassuny
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El-Sayed El-Alfy
ICS Research Projects: Artificial
Intelligence
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Learning Prolog programs: theory and applications in
data mining.
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Critical Assessment of Key Analytical Methods for
Sanding Prediction. 2005-2006.
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Develop Fuzzy Logic Models to Generate Permeability
Traces in Non-Cored Wells. 2005-2006.
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Development of Artificial Intelligence System for
Prediction and Quality Control of PVT Properties. 20052006.
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Multi-Agent Based Ubiquitous Approach for
Personalized Information Systems.
FUNCTIONAL NETWORKS AS A NEW
FRAMEWORK FOR PATTERN RECOGNITION
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Decision
Region 2
Decision
Region 1
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x2
FEATURE 2
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FEATURE 1
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-12
Decision
Boundary
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5 x16
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Computer Science Approaches:
1. Support Vector Machines
2. Probabilistic Neural Network (NN)
3. Radial Basis Functions Network
4. Multilayer Perceptron NN
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Statistical Approaches:
5. Discriminant Analyses
6. Logistic Regression
7. K-Nearest Neighbor
Functional networks are a generalization of neural networks.
They are capeable of capturing & representing complex
input/output relationships.
Functional Networks Classifier Learning Algorithm
We assume that the probability  ikcan be written as:


 ik  p  gk  xi ,k   ,
where gk xi ,k are unknown, but unrestricted functions to be learned from the data,
and p(.) must satisfy the two probability conditions, and  is unknowns. For
k
example, p(.) can be a Probit or Sigmoidal or CDF or Mulinomial
logistic functions.
In functional networks, we learn functions (not parameters)
by approximate them by linearly independent family:
qs
g s  x    asi  si  x , s  1, 2,..., m, where
  1, x,
, xq  ,
   1, e x , e x , , e qx , e  qx  ,    1,sin x,cos x, ,sin  qx  ,cos  qx 
The parameters a can be learned using optimization methods.
si
i 1
The response is: yi  j  1; if
j
j 1
  ik 
; for j  1,..., c -1.
c
c
We use Constrained Least Squares, or Iterative Least Squares, or Maximum Likelihood
Simulation and Real-World Applications of Functional
Networks: A Comparative Study
The real Databases under study are taken from:
Machine learning repository database at UC Irvine:
ftp://ftp.ics.uci.edu/pub/machine-learning-databases
Thalassemias
Data:
p=4, c=3
Functional Networks: Internal and External Validation Using
p=4 and c=3
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Carbonate rocks pose an extreme
challenge for mapping rock
properties, especially porosity and
permeability, due to their variable and
complex pore structure
Fuzzy Logic asserts that the reservoir
consists of several litho-types, each
having characteristic distributions for
permeability and electrical log values.
Fuzzy Logic attempts to uncover the
relationship between these
distributions.
1 GAS
1
WATER 0
POROSITY
0
CMR.AMP_DIST
FEET
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DEPTHX
Develop Fuzzy Logic Models to Generate
Permeability Traces in Non-Cored Wells
Objective: Develop expertise in fuzzy
logic permeability modeling that uses
conventional open-hole logs
KSDR
CKHL
0 SHALE VOLUME
1
0.01
0
50
100
150
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KCOATES
200
KRGPZ
KFL
KGA
0.01TIMUR/COATES 1000 0.01 SDR MODEL 1000 0.01 RGPZ MODEL 1000 0.01 FUZZY LOGIC 1000 0.01GENETIC ALGO 1000
MD
CKHL
1000 0.01
MD
CKHL
1000 0.01
MD
CKHL
1000 0.01
MD
CKHL
1000 0.01
MD
1000
The Fuzzy Mathematics of Litho-Facies Prediction
The normal distribution is given by:
P( x) 
e
 ( x   )2 / 2 2
 2
(1)
P(x) is the probability density that an observation x is measured in the data-set
described by a mean m and standard deviation s.
In statistics the area under the curve described by the normal distribution
represents the probability of a variable x falling into a range, say between x1
and x2.
The curve itself represents the relative probability of variable x occurring in
the distribution. That is to say, the mean value is more likely to occur than
values 1 or 2 standard deviations from it.
This curve is used to estimate the relative probability or “fuzzy possibility”
that a data value belongs to a particular data set. If a litho-facies type has a
porosity distribution with a mean m and standard deviation s the fuzzy
possibility that a well log porosity value x is measured in this litho-facies type
can be estimated using Equation 1. The mean and standard deviation are
simply derived from the calibrating or conditioning data set, usually core data.
Permeability Prediction in the Ula Field
Permeability Prediction From NMR Data
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Permeability prediction by
fuzzy logic allows better
choice of perforating
intervals and can be
applied to model building
to map permeability,
although it is still reliant on
a good core permeability
database.
The RGPZ and GAFL models
work exceptionally well as a
permeability predictor on
core and log data, performing
better overall than the SDR
and Coates models.
10000
(a)
d=100 microns
a =8/3
1000
Permeability (mD)
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100
10
1
m=1.0
m=1.4
m=1.8
m=2.2
m=2.6
0.1
0.01
0
0.05
0.1
0.15
0.2
0.25
Porosity (-)
0.3
0.35
0.4
Computer Networks
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Mohammad Al-Suwaiyel
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Farag Azzedin
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El-Sayed El-Alfy
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Ishtiaq Chaudhry
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Khaled Salah
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Muhammad Buhari
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Naser Darwish
ICS Research Projects: Computer
Networks
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Analytical, Simulation, and Experimental Investigation of the
Performance of Popular Interrupt Handling Schemes for GigabitNetwork Hosts, KFUPM, 2005-2007.
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Deploying voice and videoconferencing over IP Networks,
KFUPM, 2005-2006.
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Fuzzy logic based trust modeling.
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Trust modeling for Peer-to-Peer systems: Issues and approaches.
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Applications of Genetic Algorithms to MPLS-Based Network
Design. KFUPM July 2005-August 2005.
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Performance Evaluation and Enhancement of TCP over Wireless.
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Implementation of Multihoming and Multistreaming features to
Fast TCP.
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Performance analysis of SCTP over wireless networks.
Trust Modeling and Its Applications for Peerto-Peer Computing
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What is peer-topeer computing?
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What is trust?
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Why modeling
trust?
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paradigm
node
ownership
Node
manage
-ment
Control
policies
discovery
mechanisms
peer-topeer
computing
local
local
none
centralized
or
distributed
Cluster
computing
global
(single
ownership)
global
global job
scheduling
Grid
computing
local
global
management
under
local
policies
single
controlling
policy
centralized
or
distributed
public
computing
networks
local
global
manage
ment
under
local
policies
multiple
controlling
policies
distributed
Objectives:
• Increase the
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overall work done
by the resources
Decrease the risk
associated with
resource sharing
Enable resource
accountability
The Overall Trust Model
Network
Computing
Domain
TA
TA
Recommendation
Source
NCD
TA
RD
CD
Target
NCD
TA
RD
Direct
relationship
CD
Utility of The Trust Model
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Integrating trust into resource management
systems (RMSs)
• The idea is to make trust cognizant resource
allocations
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Integrating trust into computing utility
environments
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Introducing the notion of trusted regions
Friendly Active Network System
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Objective: To introduce active
networks in different areas
• Improper website blocking
• Access controls
• Congestion Control
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Active Network system with
capabilities to handle both
capsule-based and out-ofband architecture based on
applications.
Real-time and Simulation
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Access control using expert system, artificial neural
networks and parallel rules have been tested on both
active and non-active platforms.
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Real-time platform
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Processing on the fly was tested by linking the C code
of PVM to handle MATLAB applications.
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A 16-node Active Network system with both
ergodic and non-ergodic capabilities have been
tested on NS Simulator.
• Language used: Java.
• Clustering of PCs using PVM.
• Heterogeneous platforms used.
Planned Future Work
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In general, the access lists are fixed for a network
and so its easy to parallelize them and then apply
it using active networks approach.
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Future work requires parallelize the rules on-thefly and allocated job to the respective routers
using active networks.
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To induce routing decisions using active networks.
One scenario is to make Link-state protocols
stabilize faster.
Operating Systems
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Farag Azzedin
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Khaled Salah
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Tarek El-Bassuny
ICS Research Projects: Operating Systems
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Natural Language Voice Interface for Controlling
Audio-Video equipment
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Multi-agent based Electronic Commerce as an
integration technology for the next generation Web
Agentfying the E-Commerce Web Portals
Individual PCs
Portal Agents represent distributed
Web portals that provide different
services and information.
Service Mining Agents represent the
information or services presented by the URLs
of the Web portal.
CIA
SMA 1
SMA 2
CIA
CIA
CIA
System Kernel
1.
Routing
2.
Creating PAs
communities
3.
Customers
Modeling
4.
Sharing the
customers Models
5.
Advertising and
recommending
newly subscribed
services or added
information
6.
Security tasks
PA 1
PA 2
SMA n
SMA 1
SMA 2
SMA n
PA n
SMA1
SMA 2
SMA n
Natural Language Interface
Speech
User-interface
Speech-to-text
The AgenTV
MAS
Command
interpretation
&
response
generation
Experimental environment
Device
control
Device
Speech
input
Text
input
Input
100
Actuator
Program
1
Menu
Action
8
Remove
Add
11
Program
list
Television
7
Power
3
Window
2
Adjustment
6
Lights
3
VCR
5
DVD
5
Picture
5
Sound
3
On
Off
Sound
Jump
Color
3
Color
Jump
Brightness
3
Brightness
Jump
Contrast
Jump
Time/Date
9
Contrast
3
More
End time
Start time
10
Channel
2 (TV=4)
Less
Add
Remove
Channel
Jump
Forward
Rewind
Stop
Pause
Record
Play
Lights
Jump
Software Engineering
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Jarallah Al-Ghamdi
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Mohammad Al-Shayeb
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Mahmoud Elish
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Abdallah Al-Sukairi
ICS Research Projects: Software
Engineering
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Investigating Design Quality Characteristics for
Refactoring and Refactoring To Patterns Using
Software Metrics
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Measuring Architectural Stability in Object Oriented
Systems
Software Engineering research project
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Project: Investigating Design Quality Characteristics
for Refactoring and Refactoring To Patterns Using
Software Metrics
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Objective: to confirm or invalidate the claims that cost
and time put into refactoring are worthwhile.
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In this research we will investigate:
• An approach to detect the need to refactor early in the
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software process.
Two refactoring approaches: refactoring to produce design
patterns, and refactoring that produces code without design
patterns.
Using software metrics, we will quantitatively
investigate whether those approaches really improve
software quality or not
An example of a quality model
External attribute
Internal attribute
Number of procedure parameters
Maintainability
Cyclomatic Complexity
Reliability
Program size in Lines of Code
Portability
Number of Error Messages
Usability
Length of User Manual
Computer Science Education and
eLearning
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Madala Rama K. Krishna Rao
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Kanaan Faisal
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Junaidu Sahalu
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Muhammad Shafique
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El-Sayed El-Alfy

Wasfi Al-Khatib
ICS Research Projects: Computer Science
Education and eLearning
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Building Computer-Adaptive Testing Using
Reinforcement Learning. KFUPM, 2005-2006.
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Critical thinking skills in computer science curriculum.
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Technology-Based Education in KFUPM
Database Systems
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Salahadin Mohammed
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Muhammad Shafique
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Ejaz Ahmed
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Wasfi Al-Khatib
ICS Research Projects: Database Systems
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Integrating XML documents: KFUPM 2005-2006.
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Query optimization in XML databases.
Computer Algorithms
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Mohammad Al-Suwaiyel
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Ebrahim Malalla

Junaidu Sahalu
ICS Research Projects: Computer
Algorithms
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Two-way linear probing with reassignments.

Limit laws for sums of functions of subgraphs of
random graphs.
Information and Computer
Science Faculty Research
Profile
Dr. Muhammad Sarfraz, Professor
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Research Interests
• Computer Graphics, Pattern Recognition, Geometric Modeling.
Recent Projects
• Towards the Further Study of Designing with NURBS & ANURBS: The
CAD/CAM/CAE Tools, KFUPM/SABIC, 2002-2004.
• Automatic Text Recognition: A Need in Arabization, KFUPM, 2001-2005
• Automatic Font Generation: A step ahead in Arabization, KFUPM, 20002002
Recent Publications
•
•
•
Sarfraz, M, (2005), Computer Aided Intelligent Recognition
Techniques and Applications, ISBN: 0-470-09414-1, John Wiley and
Sons.
Sarfraz, M, (2004), Geometric Modeling: Techniques, Applications,
Systems and Tools, Kluwer Academic Publishers, ISBN: 1-40201817-7.
Habib, Z., Sarfraz, M., and Sakai, M. (2005), Rational Cubic Spline
Interpolation with Shape Control, International Journal of Computers
& Graphics, Elsevier Science, Vol. 29(4), 594-605.
Dr. M.R.K. Krishna Rao, Associate
Professor



Research Interests
• Theorem proving, software and hardware verification, learning theory, data
mining.
Recent Projects
• Learning Prolog programs: theory and applications in data mining.
• Critical thinking skills in computer science curriculum.
Recent Publications
• M.R.K. Krishna Rao, S. Junaidu, T. Maghrabi, M. Shafique, M. Ahmad and
K. Faisal (2005), Principles of curriculum design and revision: a case study
in implementing computing curricula CC2001, Proc. of the ACM SIGCSE
conf ITiCSE’2005.
• M.R.K. Krishna Rao (2005), Input-termination of logic programs, Proc. of
LOPSTR'2005, Lecture Notes in Artificial Intelligence, Springer-Verlag.
• M.R.K. Krishna Rao (2004), Inductive Inference of Term Rewriting Systems
from Positive Data, Proc. of Algorithmic Learning Theory, ALT'2004, Lecture
Notes in Artificial Intelligence 3244, pp. 69-82, Springer-Verlag.
• M.R.K. Krishna Rao (2004), Learnability of Simply-Moded Logic Programs
from Entailment, Proc. of Asian Computing Science Conference,
ASIAN'2004, Lecture Notes in Computer Science 3321, pp.128-141,
Springer-Verlag.
Dr. Mohammad Al-Suwaiyel, Associate
Professor


Research Interests
• Algorithms, Parallel Computing, Computational Geometry,
Interconnection Networks.
Recent Publications
• M. H. Alsuwaiyel, Algorithms: Design Techniques and Analysis,
World Scientific Publishers, English Edition (1999), Chinese Edition
(2003).
• M. Gavrilova and M. H. Alsuwaiyel, “Computing the Euclidean
Distance Transform”, Journal of Supercomputing, 25(2), June 2003,
177-185.
• M. Gavrilova and M. H. Alsuwaiyel, “Two Algorithms For Computing
The Euclidean Distance Transform,'' International Journal of Image
and Graphics, Vol. 1, No. 4 (2002) 635-645.
• M. H. Alsuwaiyel, “An Improved Parallel Algorithm for a Geometric
Matching Problem with Applications,'' Journal of Parallel Algorithms
and Applications, Vol 27(6), 2001, 861--865.
• M. H. Alsuwaiyel, “An optimal parallel algorithm for the multiselection problem,'' Parallel Computing, Vol 27(6), 2001, pp 861865.
Dr. Ebrahim Malalla, Assistant Professor

Research Interests
• Probabilistic analysis of algorithms, randomized algorithms,
and random data structures such as trees, graphs, and hash
tables.
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Research Projects
• Two-way linear probing with reassignments.
• Limit laws for sums of functions of subgraphs of random
graphs.

Recent Publications
• K. Dalal, L. Devroye, E. Malalla and E. McLeish, "Two-way
Chaining with Reassignment," SIAM Journal of Computing,
2005.
Dr. El-Sayed El-Alfy, Assistant Professor


Research Interests
• Network design, performance and optimization, Mobile and
distributed computing systems, and applications of soft computing in
network-related problems
Recent Projects
• Building Computer-Adaptive Testing Using Reinforcement Learning.
•
•

KFUPM, 2005-2006.
Applications of Genetic Algorithms to MPLS-Based Network
Design. KFUPM July 2005-Augest 2005.
Performance Evaluation and Enhancement of TCP over Wireless.
Recent Publications
• E. El-Alfy, “A General Look at Building Applications for Mobile
Devices,” IEEE Distributed Systems Online, Sep. 2005.
• E. El-Alfy, Y. Yao and H. Heffes, “Adaptive resource allocation with
prioritized handoff in cellular mobile networks under QoS
provisioning,” IEEE VTS 54th Vehicular Technology Conference,
VTC 2001, vol. 4, pp. 2113 – 2117, Oct. 2001.
• E. El-Alfy, Y. Yao and H. Heffes, “A model-based Q-learning scheme
for wireless channel allocation with prioritized handoff,” IEEE Global
Telecommunications Conference, GLOBECOM '01, vol. 6, pp. 3668
– 3672, Nov. 2001.
Dr. Emad El-Sebakhy, Assistant Professor
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Research Interests
•
•
•
Artificial Intelligence, Machine Learning, Functional Networks,
Bioinformatics, Pattern Recognition, Uncertainty and knowledge Reasoning,
Simulation, Non-Linear Optimization, and Statistics.
Soft Computing and Intelligence Systems and its applications in Petroleum
Engineering, Web-Mining, Security, and E-Commerce.
Industrial Experience
• Two years experience as a system analyst programmer for Micro Array
Technology, Science and Technology ,Corning Incorporated, NY, USA.
• Two years experience as a software engineering and research Scientist at
AUTODESK INC., California, USA.
Recent Projects
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“Critical Assessment of Key Analytical Methods for Sanding Prediction”. 20052006.
“Develop Fuzzy Logic Models to Generate Permeability Traces in Non-Cored
Wells”. 2005-2006.
“Development of Artificial Intelligence System for Prediction and Quality Control
of PVT Properties”. 2005-2006.
Publications
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Emad A. El-Sebakhy, “Functional networks training algorithm for statistical pattern
recognition”; IEEE Computers and Communications, 2004, Volume 1, 28:92 - 97.
Emad A. El-Sebakhy, “A Fast and Efficient Algorithm for Multi-class Support Vector
Machines Classifier”, ICICS2004: 28-30 November. IEEE Computer Society: 397-412.
Emad A. El-Sebakhy, “The Maximum Likelihood Functional Networks as a Novel
Approach for Pattern Classification Problems”, Journal of Neurocomputing, 2005, (In
press).
Dr. Farag Azzedin, Assistant Professor
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Research Interests
• Trust Modeling for Peer-to-Peer based computing systems.
• Grid computing and next generation middleware architectures.
• Resource management algorithms, dissemination, and discovery.
• Computer security in the context of Grid computing.
Recent Projects
• Fuzzy logic based trust modeling.
• Trust modeling for Peer-to-Peer systems: Issues and approaches .
Recent Publications
• F. Azzedin, M. Maheswaran, and N. Arnason ``A Synchronous Coallocation Mechanism for Grid Computing Systems,'' Cluster
Computing, The Journal of Networks, Software Tools and
Applications, Vol. 7, No. 1, Jan. 2004, pp. 39-49.
• F. Azzedin and M. Maheswaran, ``Trust Brokering System and Its
Application to Resource Management in Public-Resource Grids,''
2004 International Parallel and Distributed Processing Symposium
(IPDPS 2004), April 2004.
• F. Azzedin and M. Maheswaran, ``Integrating Trust into Grid
Resource Management Systems,'' 2002 International Conference
on Parallel Processing (ICPP 2002), Aug. 2002, pp. 47-54.
Dr. Ishtiaq Chaudhry, Assistant Professor
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Research Interests
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Recent Projects
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Performance analysis of network protocols, Operating system for
mobile devices.
Implementation of Multihoming and Multistreaming features to Fast
TCP.
Performance analysis of SCTP over wireless networks.
Recent Publications
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A. Ishtiaq, Y. Okabe and M. Kanazawa “Management of Parallel
UBR Flows over TCP in Congested ATM Networks,” Elsevier
Science Journal on Computer Communications 27 (2004) pp. 801808.
A. Ishtiaq, Y. Okabe and M. Kanazawa “Improving Performance of
SCTP over Broadband High Latency Networks,” Proceedings of
IEEE Conference on Local Computer Networks, Bonn, Germany,
October 20-24, 2003.
Dr. Junaidu Sahalu, Assistant Professor
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Research Interests
• Parallel Computing, Programming Languages,Computer Science
Education, Electronic Learning.
Recent Projects
• Technology-Based Education in KFUPM (Completed May 2004).
• Development of a Strategic Plan for KFUPM (Completed June
2005). Co Investigator.
Recent Publications
• M.R.K. Krishna Rao, S. Junaidu, T. Maghrabi, M. Shafique, M.
Ahmad and K. Faisal (2005), Principles of curriculum design and
revision: a case study in implementing computing curricula CC2001,
Proc. of the ACM Special Interest Group on Computer Science
Education Annual Conference on Innovation and Technology in
Computer Science Education (ITiCSE'2005).
• S. Junaidu and J. Al-Ghamdi, Comparative Analysis of F2F and
Online Course Offerings: KFUPM Experience. International Journal
of Instructional Technology and Distance Learning (IJITDL), April
2004.
• S. Junaidu and PW Trinder, Parallelising Large Irregular Programs,
Journal of Information Scicences, 140 (2002) 229-240.
Dr. Khaled Salah, Asst. Professor
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Research Interests
• High-speed computer networks, operating systems, security, and
distributed systems. Performance analysis and design of computer
networks and distributed systems using queueing theory and simulation.
Recent Projects
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Analytical, Simulation, and Experimental Investigation of the Performance of Popular
Interrupt Handling Schemes for Gigabit-Network Hosts, KFUPM, 2005-2007.
Deploying voice and videoconferencing over IP Networks, KFUPM, 2005-2006.
Recent Publications
• K. Salah and K. El-Badawi, “Analysis and Simulation of Interrupt Overhead
Impact on OS Throughput in High-Speed Networks”, International Journal
of Communication Systems, Wiley Publication, vol. 18, no. 5, June 2005,
pp. 501-526
• K. Salah and K. El-Badawi, “Modeling and Analysis of Application
Throughput in Gigabit Networks “, International Journal of Computers and
Their Applications, ISCA Publication, vol. 12, no. 1, March 2005, pp. 44-55
• K. Salah, “An Analytical Model for Evaluating Interrupt-Driven System
Performance of Gigabit Ethernet Hosts with Finite Buffer”, Proceeding of
10th IEEE Symposium on Computers and Communications, IEEE ISCC
2005, Cartagena, Spain, June 27-30, 2005, pp. 983-988
Dr. Mohammad Alshayeb, Assist. Professor
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Research Interests
• Object-oriented software engineering, software design,
software measurement,, design patterns, and software quality
improvement.
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Recent Projects
• Investigating Design Quality Characteristics for Refactoring
and Refactoring To Patterns Using Software Metrics, 2005
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Industrial Experience
• Senior research associate, Information Technology and Systems
Center (a NASA research center)
Publications
• Alshayeb, M. and Wei Li, “An Empirical Study of System Design
Instability Metric and Design Evolution in an Agile Software
Process,” Journal of Systems and Software, Vol. 74, issue 3, pp.
269-274, February 2005.
• Alshayeb, M. and Wei Li, “An Empirical Validation of ObjectOriented Metrics in Two Iterative Processes,” IEEE Transactions on
Software Engineering, Vol. 29, No. 11, pp. 1043-1049 , November
2003.
Dr. Salahadin Mohammed, Assistant professor
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Research Interests
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Physical database design, Query optimization, and XML databases .
Recent Projects
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Integrating XML documents:, KFUPM 2005-2006
Query optimization in XML databases
Recent Publications
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Salahadin Mohammed, Bala Srinivasan, Optimizing physical design of
multidimensional file for join queries, IASTED 2005 conference in Austria.
Joe Plzhou, Salahadin Mohammed, Incremental arbiter learning method,
Proceeding of Frontiers in Artificial Intelligence and applicationsSeventh Scandinavian Conference in Artificial Intelligence, Denmark,
February 2001
Salahadin Mohammed, Evan Harris, Roa Katagiri, Optimal Clustering of
Relations to Improve Sorting and Partitioning of Joins. The Computer
Journal, 2001
Salahadin Mohammed, Evan Harris, Roa Katagiri, Optimal Range Query
Retrieval, ACSW Conference Canberra, Australia, Jan. 2000.
Dr. Tarek El-Bassuny, Assistant Professor
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Research Interests
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Operating Systems, Multi-Agent Systems, Artificial Intelligence, and Personalized Web
services.
Recent Projects
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Multi-Agent Based Ubiquitous Approach for Personalized Information Systems
supported by KFUPM under the JF-2005/10.
Natural Language Voice Interface for Controlling Audio-Video equipment's, supported
by the Japanese Ministry of International Trading, 2000.
Multi-agent based Electronic Commerce as an integration technology for the next
generation Web supported by Fukuoka Prefecture government, 2001.
Recent Publications
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Tarek Helmy, Satoshi Amamiya, Tsunenori Mine, Makoto Amamiya, "A New Approach
of the Collaborative User Interface Agents", Proceedings of IEEE/WIC/ACM
International Conference on Intelligent Agent Technology (IAT'03), pp. 147-153,
October 13-17, 2003.
Tarek H. El-Basuny, “A Ubiquitous Approach for Next Generation Information
Retrieval System”, Proceedings of the IEEE (ICICS 2004), Dhahran, Saudi Arabia, 2830 November 2004, pp. 501-513.
Tarek Helmy, “Multi-agent based Electronic Commerce System”, Proceedings of the 1st
IEEE International Computer Engineering Conference New Technologies for the
Information Society, Egypt, 27-30 December 2004, pp. 791-796.
Tarek Helmy, ”Collaborative Multi-Agent-Based Framework for Web Portals
Management”, International Journal of Information Technology, ISSN 0218-7957, Vol.
12 No. 1, 2005.
Dr. Wasfi Al-Khatib, Assistant Professor
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Research Interests
• multimedia information systems, video data modeling, speech and audio
analysis, artificial intelligence, and Distance/eLearning.
Recent Projects
• Automatic Classification of music and speech in digitized audio, KFUPM
2005.
• Parallel Video Data Query Processing, Research Challenge Award, Wright
State University, 2001-2002
Recent Publications
• M. Kashif Saeed Khan, Wasfi G. Al-Khatib, and Muhammad Moinuddin,
“Automatic Classification of Speech and Music Using Neural Networks”,
Second ACM International Workshop on Multimedia Databases (ACMMMDB 2004), Arlington, VA, USA, 2004.
• W. Al-Khatib ``eLearning: Opportunities, Challenges, and Future'',
Proceedings of the International Workshop on Frontiers of Information
Technology, Islamabad, Pakistan, December 2003.
• W. Aref, W.J. McIver Jr., W.G. Al-Khatib, A. Ghafoor, and B.P. Berra,
“Indexing Techniques for Video Database Management Systems”, Chapter
in the Encyclopedia of Software Engineering, 2:1842 -1856, December
2001.
Dr. Muhammad Buhari, Lecturer
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Research Interests
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Recent Publications
• Computer network performance and evaluation.
• IPv6.
• MI Buhari, M. H. Habaebi and B. M. Ali, “A New Congestion
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Control Algorithm for Active Networks”, Pertanika Journal of
Science and Technology (Universiti Putra Malaysia), Vol. 13,
No. 2, (July) 2005.
M.I. Buhari, M.H. Habaebi, B.M. Ali (2005), “Artificial Neural
System for Packet Filtering”, Journal of Computer Science
1(2): 259-269, 2005.
H.M. Saleem, M.I. S. Buhari (2005), “Performance
Comparison of IPv6 versus IPv4 in Multimedia Oriented Elearning System”, Brunei International Conference on
Engineering and Technology [BICET 2005] 15 - 18 August
2005.