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FACULTY OF COMPUTER SCIENCE &
INFORMATION TECHNOLOGY,
UNIVERSITY OF MALAYA
Vision

To be an internationally renowned centre of
excellence in research and education in Computer
Science and Information Technology.
Mission

To advance and disseminate knowledge through
research, teaching and learning in Computer
Science and Information Technology in line with the
hopes and aspirations of the people and the nation.
Objectives

To sustain an outstanding faculty dedicated to
excellence in undergraduate and postgraduate
teaching, learning and research.

To contribute towards the development of the nation
through the production of quality research and
publications.

To provide innovative academic programs that can
respond to the changing needs of society.

To produce quality graduates who are equipped
with advanced knowledge and skills of computer
science and information technology.
Academic Programs
Bachelor’s
Degree
Academic
Programs
Master’s
PhD
Bachelor of
Computer
Science
Bachelor of
Information
Technology
Bachelor’s Degree Programs
Bachelor of Computer Science
(Artificial Intelligence)
Bachelor of
Computer Science
Bachelor of Computer Science
(Management Information
System)
Bachelor of Computer Science
(Software Engineering)
Bachelor of Computer Science
(Computer System and
Networking)
Bachelor’s Degree Programs
Bachelor of Information
Technology (Management)
Bachelor of Information
Technology
Bachelor of Information
Technology (Multimedia)
Bachelor of Computer Science Specializations
Bachelor of Computer Science
(Artificial Intelligence)
Bachelor of Computer Science
(Management Information System)
• Methods of making intelligent and knowledgeable
computer that can act like human.
• Topics : robotics, speech and natural language
processing, image processing, cognitive science,
machine learning, neural networks, fuzzy logic.
• Focus on management and system development in the
context of different organizations.
• Topics : system analysis and design, database,
information storage and retrieval and information systems
development.
Bachelor of Computer Science
(Software Engineering)
• Focus on software development process to produce quality
and reliable software with minimum cost.
• Topics : analysis, design, coding, testing and maintenance.
Bachelor of Computer Science
(Computer System and Networking)
• Focus on the principles and applications of data
communication : main function in computer network
• Topics : computer architecture, network technology, system
software, and the security of data and computer.
Bachelor of Information Technology
Bachelor of Information
Technology (Management)
•Focus on the use of technology to the
development of information systems as well
as gain knowledge in the management of
business organizations.
•Topics : accounting, business
administration, marketing, financial
management, human resource
management and entrepreneurship.
Bachelor of Information
Technology (Multimedia)
• Focus on the development of multimedia
system in various application that are
controlled by interactive computer system.
•Topic : multimedia computer system,
techniques and processes of development,
web-based multimedia programming,
project management, multimedia
elements processing such as image, audio,
and digital video, and computer graphics.
Postgraduate Programmes
• Faculty currently offers
– 3 Masters programs
• Master of Computer Science (MCS)
• Master of Software Engineering (MSE)
• Master of Library & Information Science (MLIS)
– Doctor of Philosophy (PhD)
Master of Computer Science
(MCS)
• Offered through
– Coursework & Dissertation (KD)
• 56 credits
 3 core courses + 2 elective courses
• Dissertation : 40 credits
– Dissertation only (D)
• Specialization in
–
–
–
–
Data Communication and Networking
Management Information Systems
Artificial Intelligence
Multimedia
Master of Library & Information Science
(MLIS)
• Offered through:
– Coursework & Dissertation (KD)
•56 credits
 4 core courses + 1 elective courses
•Dissertation : 40 credits
– Dissertation only (D)
Master of Software Engineering
(MSE)
• Offered through:
– Coursework & Dissertation (KD)
•56 credits
 3 core courses + 2 elective courses
•Dissertation : 40 credits
Doctor of Philosophy (PhD)
• By full research only
Added Value
 Relations with industry
•
•
•
•
•
•
Cisco
Microsoft
Oracle
SUN –Java
Mimos
Malaysian Research Network
The ICT Computational Science Cluster
KNOWLEDGE
KNOWLEDGE
ENGINEERING
ENGINEERING &
&
INFORMATICS
(KEI)
INFORMATICS (KEI)
COMMUNITY &
COMMUNITY &
ORGANIZATIONAL
ORGANIZATIONAL
INFORMATICS (COI)
INFORMATICS (COI)
PERVASIVE
PERVASIVE AND
AND
DISTRIBUTED
DISTRIBUTED
COMM
COMM (PDC)
(PDC)
DISTRIBUTED
DISTRIBUTED
SYSTEMS, GRID &
SYSTEMS,
GRID &
CLOUD COMPUTING
CLOUD COMPUTING
MOBILE
MOBILE
COMMUNICATION
COMMUNICATION
(OSI LAYER 3 AND
(OSI LAYER 3 AND
ABOVE)
ABOVE)
WIRED AND WIRELESS
WIRED AND WIRELESS
(OSI LAYER 3 AND
(OSI LAYER
3 AND
ABOVE)
ABOVE)
DATA ENGINEERING
DATA ENGINEERING
& VISUALIZATION
& VISUALIZATION
(DEV)
(DEV)
SELF-ORGANIZE
SELF-ORGANIZE
NETWORK
NETWORK
SOFTWARE
SOFTWARE
ENGINEERING
ENGINEERING &
&
INNOVATION
(SEI)
INNOVATION (SEI)
ICT
ICT SECURITY
SECURITY
(SECreg)
(SECreg)
ARTIFICIAL
ARTIFICIAL
INTELLIGENCE
INTELLIGENCE MM
MM
RESEARCH
(AIM)
RESEARCH (AIM)
REQUIREMENT
REQUIREMENT
ENGINEERING
ENGINEERING
SECURE
SECURE
PROTOCOLS/ROUTING
PROTOCOLS/ROUTING
IMAGE
IMAGE
PROCESSING
PROCESSING
SOFTWARE
SOFTWARE
ARCHITECHTURE &
ARCHITECHTURE
&
DESIGN
DESIGN
GROUP/MULTICAST
GROUP/MULTICAST
COMMUNICATION
COMMUNICATION
TEXT PROCESSING
TEXT PROCESSING
HUMAN COMPUTER
HUMAN COMPUTER
INTERACTION AND
INTERACTION
CSCW AND
CSCW
WIRELESS/MOBILE
WIRELESS/MOBILE
SECURITY
SECURITY
SOFTWARE REUSE
SOFTWARE REUSE
INTRUSION
INTRUSION
DETECTION AND
DETECTION
AND
PREVENTION
PREVENTION
OBJECT-ORIENTED
OBJECT-ORIENTED
TECHNIQUES AND
TECHNIQUES
TOOLS AND
TOOLS
CRYPTOGRAPHY
CRYPTOGRAPHY
MULTILINGUAL
MULTILINGUAL
SPEECH PROCESSING
SPEECH PROCESSING
INFORMATION HIDING
INFORMATION HIDING
SOFTWARE QUALITY
SOFTWARE QUALITY
AND MAINTENANCE
AND MAINTENANCE
AUTHENTICATION AND
AUTHENTICATION AND
BIOMETRIC
BIOMETRIC
GEO-HEALTH
GEO-HEALTH
INFORMATICS
INFORMATICS
VIDEO CONTENT
VIDEO CONTENT
ANALYSIS
ANALYSIS
AUGMENTED VIRTUAL
AUGMENTED VIRTUAL
REALITY
REALITY
GAMES IN LEARNING
GAMES IN LEARNING
Existing Collaborative Project with Soton
Natural Computation (Molecular Computing) :
Designing self-organized computational devices using
Ribonucleic Acids (RNA) as information processing
substrate.
Digital libraries,Open Access Repositories &
Scholarly Communication
•
Concern with populating the Web with scholarly contents and
local heritage through DLI and OAI
Open Archive
Initiatives
Eprint Archives (Postprint/pre-print)
Country initiatives to
preserve cultural heritage
Cultural heritage
initiatives
Country initiatives to
preserve local collections
Popular collection
initiatives
Community & Organizational Informatics

Governance
ICT Readiness



Supportive laws,
regulations and
policies in OAI
Info-structure
Growth of
repositories
 Accessibility of
information
 Organization of
information
Current focus is
People
Readiness

Adoption &
Adaptation
Appropriation of
OAI

Awareness and
current practices
 Information
competence
Knowledge-sharing
on scholarly
communication to
support the
research
community
A field of investigation and practice concerned with principle and norms related to ICT
with a focus on the personal, social, professional, cultural or economic development of,
within and by communities as well as organizations
User’s Intention-based Search of Video Visual
Content
Spatial Concept Association Based Search (SCABS) provides
interface for users to express their query visual intention (image
in mind) in retrieving videos.
Spatial Concepts Transition Based Search (SCTBS) search
mechanism grasps semantic and episodic (change from one
scene to another) expectations of a user in generating retrieval
results.
Educational Content Video Search based on Question
Answering Technique and Collaborative Profile
Semantic
Web
Get domain
specific videocontent (hits)
Send query to
get relevant
video
Record VQA
Navigational
History
Collaborative
Profile Input
Video Links
Repository
Create &
Update
Collaborative
Profile
To improve content
relevancy of the video
source
2. To promote
interoperable VQA
(semantic webcompliant)
1.
Expert/Local
Repository
Information Hiding
Generally divided into two disciplines:
(a) Data Embedding
Ext. Info.
Encoder
Original content
(b) Encryption
Output content
(Ext. info hidden inside)
Scrambler
Original content
Output content
(scrambled)
Unify both disciplines
Objectives
A.1 High capacity
A.2 Low distortion
A.3 Low complexity
A.4 Other requirements*
Objectives
A.1 High robustness
A.2 Small bit stream size
A.3 Low complexity
Information Hiding
 Header
 Payload
Network
Packets
 TCP
 IP




PTS
PCR
SCR
PES
With temporal
Movie
 I-Frame
prediction
 Motion vector
 FMO
 CABAC
 CAVLC
 Coefficient
 Quantization
scale
 Pixel
Audio
Video
Image
 SCF
 Bit-allocation
 Edges
 Zerorun
 Half-toning
 System
layer
 MNR
 SMR
 Psychoacoustic
 Open space
 UniCode
Text
Goals:
- Data
embedding
with scalable
capacity
- Scalable
quality
degradation
A Support Environment for Novice Researches
Using Semantic Approach
1
3
Identifying
methods to
support and
enhance
Scholarly
Research Activity
on the web.
4
2
Question Answering and Document Retrieval
Engine Using Logical Linguistic Approach
This research focuses on retrieving the answer to
A
1

A
1
A
2
B
1
B
2
B
1
Design of the Indexing framework
the question posed as well as stating the source
document in which the answer is derived from. The
research also presented a new approach in
creating semantic Skolem Indexing matrix based
on logical linguistic approach for automatically
indexing
multiple
documents
into
single
knowledge representation. A framework on IR for
QA that uses this semantic matrix as its knowledge
representation
has
been
designed
and
implemented.
To ensure the validity of the evidence, digital forensics help
by providing essential information about an image. For
example image forensics can be used to trace the source of a
digital image.
Individual CP Features average value
Features Based Camera Model Identification
0.7

Casio
Kodak
NikonS
NikonD
Avg. Diff.
0.6
0.5
0.4
0.3
0.2
0.1
0

0
10
20
Figure 1: EXIF’s make and camera model information
changed by using ExifTool software package
30
40
50
CP Features
60
70
Predicted
•Inter-camera model
•Intra-camera model
Casio
Kodak
NikonS
NikonD
Casio
99%
*
*
1%
Kodak
*
100%
*
*
NikonS
*
*
99%
1%
NikonD
*
*
*
100%
Average
* represents 0%
99.5%
Confusion matrix for original
images.
80
High Impact Research Project
Principle
Investigator
Project Title
Dr. Effirul Ikhwan
Ramlan
Natural computation via Molecular
RM 1,046,000.00
Computing: Towards the design,
development and implementation of
self-organized molecules as information
processing substrate.
Mobile Cloud Computing: Device and
RM1,500,000.00
Connectivity
Mirror Neuron and Quantum Mechanics RM1,039,000.00
Based Neural Architecture for Humanoid
Assoc. Prof. Dr.
Abdullah Gani
Prof. Dr. Loo Chu
Keong
Dr. Mohammed
Ziaur Rahman
Prof. Dr. Siti Salwah
Salim
Dr. Ng Liang Shing
Recursive Approach for the Design of
Asynchronous Sequential Circuits.
Multimodal Engagement for Children
with Communication Disabilities
A Generic / Natural Language Expert
System for Robotics and Bazaar
Simulation.
Amount (RM)
RM2,772,000.00
RM900,000.00
RM1,053,000.00
For more information
Visit Faculty website: www.fsktm.um.edu.my
Thank you
 FCSIT Website
http://www.fsktm.um.edu.my
 University of Malaya Website
http://www.um.edu.my