Information and Computer Science Department Research Profile

1
Information and Computer Science Department
Research Profile

• Wasfi G. Al-Khatib
• Information and Computer Science Department
• King Fahd University of Petroleum Minerals

2
Information and Computer Science Faculty

• 25 Professorial Rank faculty members
• 1 Full Professor
• 5 Associate Professors
• 19 Assistant Professors
• 2 PhD. Holders
• 1 Instructor
• 1 Lecturer

3
ICS Research Areas

• 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, High-Speed 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

4
Computer Vision, Image, Audio, and Video
Processing and Arabization

• Muhammad Sarfraz
• Moustafa Elshafei (From Systems Engineering
  Dept.)
• Sabri Mehmoud
• Mohammed Balah
• Husni Al-Muhtaseb
• Wasfi Al-Khatib

5
ICS Research Projects Computer Vision, Image,
Audio, and Video Processing

• 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, 2000-2002
• Automatic Classification of music and speech in
  digitized audio.

6
Recognition of License Plates

• Objectives
• 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 doesnt 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.

7
Proposed and Implemented Approach

• Approach
• Mainly involves three phases Extraction,
  Segmentation and Recognition
• Achievements
• 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.

8
Development possibilities with Intel

• A practical License Plate Recognition (LPR)
  System requires high quality Image Grabbing
  Devices for operations that are, otherwise, very
  time consuming under software simulators.
• An LPR system in practice is a part of an
  Intelligent Transport System.
• 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
• Frame Averaging
• Image Differencing
• Color level conversions
• Edge and Intensity Adjustment operations.
• Segmentation and Labeling
• 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.
• 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.

9
Arabization Projects

• 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.

10
Arabization Projects

• 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.

11
Arabization Projects

• Arabic Speech Recognition System
• The project aims at building sufficient know how
  and a state-of-the-art research base for the
  development of the next-generation 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 speaker-
  independent 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.

12
Arabization Projects

• 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.

13
Automatic Classification of Speech and Music

• Music reduction/removal from documentaries
• Speech Segments Extraction
• Automatic speech recognition
• Indexing and retrieval
• Speaker recognition
• Improving audio coding/compression

Feature Selection
Classifier
Features
Features
Speech
Music
Feature Extraction Process
Classification Process
14
Automatic Classification of Speech and Music
Methodology

• Newly Proposed Features
• 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)
• Contribution of extracted features studied
• using Fuzzy C-Means Clustering
• Classification Frameworks
• Neural Networks
• Multilayer Perceptron (MLP)
• Radial Basis Function (RBF)
• Statistical Models
• Hidden Markov Model

15
Automatic Classification of Speech and Music
Prototype System
16
Artificial Intelligence

• Madala Rama K. Krishna Rao
• Kanaan Faisal
• Emad El-Sebakhy
• Tarek El-Bassuny
• El-Sayed El-Alfy

17
ICS Research Projects Artificial Intelligence

• Learning Prolog programs theory and applications
  in data mining.
• Critical Assessment of Key Analytical Methods for
  Sanding Prediction. 2005-2006.
• 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.
• Multi-Agent Based Ubiquitous Approach for
  Personalized Information Systems.

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FUNCTIONAL NETWORKS AS A NEW FRAMEWORK FOR
PATTERN RECOGNITION
Computer Science Approaches 1. Support Vector
Machines 2. Probabilistic Neural Network (NN)
3. Radial Basis Functions Network 4. Multilayer
Perceptron NN
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.
19
Functional Networks Classifier Learning Algorithm
We assume that the probability can be
written as
where are unknown, but
unrestricted functions to be learned from the
data, and p(.) must satisfy the two probability
conditions, and is unknowns. For
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
The parameters can be learned using
optimization methods.
The response is
We use Constrained Least Squares, or Iterative
Least Squares, or Maximum Likelihood
20
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-learni
ng-databases
Thalassemias Data p4, c3
21
Functional Networks Internal and External
Validation Using p4 and c3
22
Develop Fuzzy Logic Models to Generate
Permeability Traces in Non-Cored Wells

• 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.
• Objective Develop expertise in fuzzy logic
  permeability modeling that uses conventional
  open-hole logs

23
The Fuzzy Mathematics of Litho-Facies Prediction
The normal distribution is given by
(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.
24
Permeability Prediction in the Ula Field
25
Permeability Prediction From NMR Data

• 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.

26
Computer Networks

• Mohammad Al-Suwaiyel
• Farag Azzedin
• El-Sayed El-Alfy
• Ishtiaq Chaudhry
• Khaled Salah
• Muhammad Buhari
• Naser Darwish

27
ICS Research Projects Computer Networks

• 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.
• Fuzzy logic based trust modeling.
• Trust modeling for Peer-to-Peer systems Issues
  and approaches.
• Applications of Genetic Algorithms to MPLS-Based
  Network Design. KFUPM July 2005-August 2005.
• Performance Evaluation and Enhancement of TCP
  over Wireless.
• Implementation of Multihoming and Multistreaming
  features to Fast TCP.
• Performance analysis of SCTP over wireless
  networks.

28
Trust Modeling and Its Applications for
Peer-to-Peer Computing

• What is peer-to-peer computing?
• What is trust?
• Why modeling trust?
• Objectives
• Increase the overall work done by the resources
• Decrease the risk associated with resource
  sharing
• Enable resource accountability

paradigm node ownership Node manage-ment Control policies discovery mechanisms
peer-to-peer computing local local none centralized or distributed
Cluster computing global (single ownership) global global job scheduling
Grid computing local global manag-ement under local policies single controlling policy centralized or distributed
public computing networks local global management under local policies multiple controlling policies distributed
29
The Overall Trust Model

30
Utility of The Trust Model

• Integrating trust into resource management
  systems (RMSs)
• The idea is to make trust cognizant resource
  allocations
• Integrating trust into computing utility
  environments
• Introducing the notion of trusted regions

31
Friendly Active Network System

• Objective To introduce active networks in
  different areas
• Improper website blocking
• Access controls
• Congestion Control
• Active Network system with capabilities to handle
  both capsule-based and out-of-band architecture
  based on applications.

32
Real-time and Simulation

• Access control using expert system, artificial
  neural networks and parallel rules have been
  tested on both active and non-active platforms.
• Real-time platform
• Language used Java.
• Clustering of PCs using PVM.
• Heterogeneous platforms used.
• Processing on the fly was tested by linking the C
  code of PVM to handle MATLAB applications.
• A 16-node Active Network system with both ergodic
  and non-ergodic capabilities have been tested on
  NS Simulator.

33
Planned Future Work

• 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.
• Future work requires parallelize the rules
  on-the-fly and allocated job to the respective
  routers using active networks.
• To induce routing decisions using active
  networks. One scenario is to make Link-state
  protocols stabilize faster.

34
Operating Systems

• Farag Azzedin
• Khaled Salah
• Tarek El-Bassuny

35
ICS Research Projects Operating Systems

• Natural Language Voice Interface for Controlling
  Audio-Video equipment
• Multi-agent based Electronic Commerce as an
  integration technology for the next generation
  Web

36
Agentfying the E-Commerce Web Portals
37
Natural Language Interface The AgenTV
MAS Commandinterpretationresponsegeneration
Device control
User-interface
Device
Speech
Speech-to-text
38
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39
Software Engineering

• Jarallah Al-Ghamdi
• Mohammad Al-Shayeb
• Mahmoud Elish
• Abdallah Al-Sukairi

40
ICS Research Projects Software Engineering

• Investigating Design Quality Characteristics for
  Refactoring and Refactoring To Patterns Using
  Software Metrics
• Measuring Architectural Stability in Object
  Oriented Systems

41
Software Engineering research project

• Project Investigating Design Quality
  Characteristics for Refactoring and Refactoring
  To Patterns Using Software Metrics
• Objective to confirm or invalidate the claims
  that cost and time put into refactoring are
  worthwhile.
• In this research we will investigate
• An approach to detect the need to refactor early
  in the 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

42
An example of a quality model
43
Computer Science Education and eLearning

• Madala Rama K. Krishna Rao
• Kanaan Faisal
• Junaidu Sahalu
• Muhammad Shafique
• El-Sayed El-Alfy
• Wasfi Al-Khatib

44
ICS Research Projects Computer Science Education
and eLearning

• Building Computer-Adaptive Testing Using
  Reinforcement Learning. KFUPM, 2005-2006.
• Critical thinking skills in computer science
  curriculum.
• Technology-Based Education in KFUPM

45
Database Systems

• Salahadin Mohammed
• Muhammad Shafique
• Ejaz Ahmed
• Wasfi Al-Khatib

46
ICS Research Projects Database Systems

• Integrating XML documents KFUPM 2005-2006.
• Query optimization in XML databases.

47
Computer Algorithms

• Mohammad Al-Suwaiyel
• Ebrahim Malalla
• Junaidu Sahalu

48
ICS Research Projects Computer Algorithms

• Two-way linear probing with reassignments.
• Limit laws for sums of functions of subgraphs of
  random graphs.

49
Information and Computer Science Faculty Research
Profile
50
Dr. Muhammad Sarfraz, Professor

• 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, 2000-2002
• 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 1-4020-1817-7.
• 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.

51
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 ITiCSE2005.
• 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.

52
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 multi-selection problem,'' Parallel
  Computing, Vol 27(6), 2001, pp 861-865.

53
Dr. Ebrahim Malalla, Assistant Professor

• Research Interests
• Probabilistic analysis of algorithms, randomized
  algorithms, and random data structures such as
  trees, graphs, and hash tables.
• 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.

54
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.

55
Dr. Emad El-Sebakhy, Assistant Professor

• 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
• Critical Assessment of Key Analytical Methods
  for Sanding Prediction. 2005-2006.
• 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
• Emad A. El-Sebakhy, Functional networks training
  algorithm for statistical pattern recognition
  IEEE Computers and Communications, 2004, Volume
  1,  2892 - 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).

56
Dr. Farag Azzedin, Assistant Professor

• 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 Co-allocation 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.

57
Dr. Ishtiaq Chaudhry, Assistant Professor

• Research Interests
• Performance analysis of network protocols,
  Operating system for mobile devices.
• Recent Projects
• Implementation of Multihoming and Multistreaming
  features to Fast TCP.
• Performance analysis of SCTP over wireless
  networks.
• Recent Publications
• 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. 801-808.
• 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.

58
Dr. Junaidu Sahalu, Assistant Professor

• 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.

59
Dr. Khaled Salah, Asst. Professor

• 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
• 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

60
Dr. Mohammad Alshayeb, Assist. Professor

• Research Interests
• Object-oriented software engineering, software
  design, software measurement,, design patterns,
  and software quality improvement.
• Recent Projects
• Investigating Design Quality Characteristics for
  Refactoring and Refactoring To Patterns Using
  Software Metrics, 2005
• 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 Object-Oriented Metrics in Two Iterative
  Processes, IEEE Transactions on Software
  Engineering, Vol. 29, No. 11, pp. 1043-1049 ,
  November 2003.

61
Dr. Salahadin Mohammed, Assistant professor

• Research Interests
• Physical database design, Query optimization, and
  XML databases .
• Recent Projects
• Integrating XML documents, KFUPM 2005-2006
• Query optimization in XML databases
• Recent Publications
• 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 applications-
  Seventh 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.

62
Dr. Tarek El-Bassuny, Assistant Professor

• Research Interests
• Operating Systems, Multi-Agent Systems,
  Artificial Intelligence, and Personalized Web
  services.
• Recent Projects
• 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
• 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, 28-30 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.

63
Dr. Wasfi Al-Khatib, Assistant Professor

• 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 (ACM-MMDB 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, 21842
  -1856, December 2001.

64
Dr. Muhammad Buhari, Lecturer

• Research Interests
• Computer network performance and evaluation.
• IPv6.
• Recent Publications
• MI Buhari, M. H. Habaebi and B. M. Ali, A New
  Congestion 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 E-learning System, Brunei International
  Conference on Engineering and Technology BICET
  2005 15 - 18 August 2005.