Lahore University of
Management and Sciences
Founding Vision
“To be a pre-eminent academic
institution, serving as a catalyst
for economic prosperity and
social development”
Focus on development of world-class
management talent
LUMS Overview
Private university founded in 1985
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Founded by corporate sector
(including Siemens)
Modern 100 acre campus
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Located in Lahore, the cultural capital of
Pakistan
2200 student body
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1700 undergrad & 500 graduate students
35% women
120 faculty members
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PhDs from Harvard, Stanford, MIT, Oxford
Over 60 international publications in 2006
Undergraduate Programs
Broad based education
BSc (Honors) - 4 Years Degree
Computer Science
Computer Engineering
Mathematics
Economics
Social Science
Accounting and Finance
Law
Entry Requirements: 12 years of education,
and SAT I & SAT II or LUMS Admission Test
Average SAT I score: 1300 / 1600
MS/PhD Programs
Graduate programs in:
Computer Science (MS/PhD)
Computer Engineering (MS/PhD)
Mathematics (PhD)
Business Studies (PhD)
Economics (MS)
Develop professionals with sound
technical and management skills
Produce highly qualified teachers
Inculcate research culture
Quality Focus
Best students inducted because of
need blind admission policy
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Over Rs.40 million disbursed as
financial aid in 2005
Excellent Graduate Placement
Record
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8 Rhodes Scholars in last 12 years
10 Fulbright Scholars in 2005
Over 2500 alumni studying at top
universities or employed in the top
multinationals, local corporates,
NGOs, Multilateral agencies,
Government
Graduate Placement
Selected Employers
International Linkages & Collaborations
Student Exchange Programs
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Copenhagen Business School
FH Joanneum Institute of Management
Asian Institute of Technology
University Utara Malaysia
Indian School of Business
Stockholm School of Business
Linkages
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McGill University (CIDA)
University of Essex
Harvard
MIT
University of Chicago
University of Sussex
Going Forward
Refocusing of existing Schools
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School of Arts & Sciences
Suleman Dawood School of Business
Two new schools and expansion of
teaching programs
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School of Law and Policy
School of Science and Engineering
Doubling of student body to 4000
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2400 undergraduate
1600 graduate
Tripling of faculty strength to 360
Science & Engineering Plans
Modeled after US Research Universities
$30 million already raised
First batch of students enrolled by 2008
By 2020 have 1200 undergrads, 800 grad
students and 200 faculty
Produce graduates who are:
• Technically competent,
creative & hands-on
• Able to sell their ideas
• Socially responsible
Mathematics
Computer Science
Computer Engineering
Physics
Chemistry
Biology
Electrical Engineering
Industrial Engineering
Mechanical Engineering
Material Science
Biological Engineering
Chemical Engineering
Science/Eng Advisory Committee
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Robert Jaffe (MIT)
John Kassakian (MIT)
Richard Larson (MIT)
Khalid Aziz (Stanford)
Mir Imran (Incube)
Hubertus Von Dewitz (Siemens CT)
Obaid Siddiqi (TATA Inst. of Fundamental Research)
Xiang-Sun Zhang (Chinese Academy of Sciences)
Ashok Mittal (IIT Kanpur)
Amos Nur (Stanford)
Stephen Berry (Univ of Chicago)
Hassan Ahmed (Sonus Networks)
Zia Chishti (The Resource Group)
Vision
To become an internationally
acclaimed research university that
serves society through excellence in
education and research
Research Work in
Department of Computer
Science and Engineering
Lahore University of
Management Sciences
Computer Science and Engineering Faculty
Telecommunication and Networks
Shahab Baqai, PhD Purdue
Tariq Jadoon, PhD Strathclyde
Umar Saif, PhD Cambridge
Amjad Luna, PhD Georgia Tech
Zartash Uzmi, PhD Stanford
Video and Image Processing
Nadeem A. Khan, PhD Eindhoven
Sohaib A. Khan, PhD U of Central Florida
Shahid Masud, PhD Queen’s Belfast
Artificial Intelligence and Pattern Recognition
Mian M Awais, PhD Imperial College
Asim Karim, PhD Ohio State
Electronics, Systems and Control
Khurram Afridi, PhD MIT
M Jahangir Ikram, PhD Manchester
Anwar Khurshid, PhD Michigan
Theoretical Computer Science and Software Engineering
M Ashraf Iqbal, PhD UET
Arif Zaman, PhD Stanford
Naveed Arshad, PhD U of Colorado
Shafay Shamail, PhD Bath
Nabil Mustafa, PhD Duke
Hamid Abdul Basit, PhD National U of Singapore
Research Areas and Funded Projects
Artificial Intelligence, Pattern Recognition and Computer Vision
Multi-Camera Multiple-Person Tracking and Surveillance
3D Reconstruction from Video (Non Rigid Structure from Motion)
Freeway Incident Detection
Automatic Multiple Party Lecture and Speech Summarization
Analysis of Satellite Imagery for Rural Applications
Telecommunication and Networks
Restoration Routing in MPLS Networks (Funded by Cisco)
Poor Man’s Broad-band (Funded by Microsoft Research)
Resource Management for Multimedia Services
Fault Tolerant TCP Stack for Reliable Routing
GMPLS Control for Ethernet (In collaboration with Siemens)
Benchmarking of Pakistan Internet Backbone for VOIP
Optical Network Management using GIS-based Information
Research Areas and Funded Projects
Video and Image Processing
Error Resilience of Multimedia Information
Efficient H.264/MPEG4 Video Encoding
Fast Correlation Methods for Image/Video Registration
Automatic Target Recognition
System Simulation and Design
Predictive Model Development for Industrial Distillation Column
Internet-based Environmental Watch System
Simulation of GELS-based Ethernet Networks
Automotive Systems
Vision-based Smart Airbag
Advanced Electrical System Design (MAESTrO)
Awarded BMW Scientific Award 1999
Evaluation of of
GELS
Architecture
Evaluation
GELS
Architecture
Problem
Dr. Zartash A Uzmi
– Is it feasible to use GMPLS to
control Ethernet traffic instead of
traditional (STP) control?
Project span: one year (01/2006-12/2006)
People involved:
Approach
─ Consider different networks and
place random traffic on each of
those networks
─ Consider the normal as well as
failed network conditions
─ Compare amount of traffic placed
in normal state and recovery
time after a failure
Solution
– Software tools for simulation of
traditional Ethernet control and
newly proposed control
Siemens: Herbertus Dewitz (Liaison and
advisory role); Johannes Riedl, Martin
Nathensen, Kulkarni
LUMS: Zartash Afzal Uzmi (Technical and
Supervisory role), three other researchers
Future Directions
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Evaluate different mechanisms for replacing the
traditional STP-based control with the new GMPLSbased control (GELS)
Collaboration with Siemens
Possible Publication in Globecom ‘07
Poor
Man’s Dialup: Peer to Peer Dialup Networking
Poor Man’s Broadband: Peer-to-Peer Dialup Networking
Problem
Dr. Umar Saif
– Provide better dialup internet
access to rural areas than what is
currently available
Approach
– The bottleneck in internet access is
not the ‘last mile’ in developing
countries; rather, internet access is
often much slower than the
bandwidth of a modem
– Allow multiple users download
internet content collaboratively, and
use remaining bandwidth of their
modem for sharing
Solution
– Internet dialup and ‘dialup
underlay’ connections are
interleaved to optimize available
bandwidth
– Implementation is named
‘Dittorrent’, motivated by Bit-torrent
Future Directions
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Developing a comprehensive security
architecture for this application
Extend implementation to high-bandwidth
WLL and WiMAX
Funded by Microsoft Research
Published in ACM SIGCOMM CCR 2007
Restoration Routing
Restoration
RoutingininMPLS
MPLSNetworks
Networks
Problem
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Develop framework to
accommodate maximum restorable
traffic in an MPLS ISP network
Approach
― Allow maximum sharing of backup
paths
― Identify optimal information to be
propagated
― Identify optimal set of nodes to
compute backup paths
Solution
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A restoration routing scheme able
to accommodate 10% more traffic
over an MPLS network compared to
best known methodologies
Dr. Zartash A Uzmi
S
1
Primary Path
2
3
D
Single Failure Assumption allows these backup
paths to share bandwidth
Backup Path
Future Directions
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Create MPLS Traffic Engineering test bed
with 26 nodes for experimentation
Funded by CISCO
Published in ICC ’05 and ICC ‘07
Resource Management in Multimedia Services
Problem
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Transport of multimedia over a
network for play-out within user
specified quality constraints
Approach
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Formulate resource allocation as
optimization problem with
constraints and fairness
Exploit tradeoff between available
resources and minimum required
play-out quality. Use fairness
condition to spread any
degradation evenly across active
objects
Solution
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Heuristic based dynamic resource
allocation solution able to transmit
better quality video over limited
resources versus static assignment
Dr Shahab Baqai
Time process
for I/O or
Network
channel
assignment
Dynamic
channel
allocation for
above process
Future Directions
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Extension to resource reservation by
intermediate nodes for end-to-end
quality
Published in ACM Multimedia Systems Journal
Error
Multimedia
Information
ErrorResilience
Resilience of of
Multimedia
Information
Dr Shahab Baqai
The Problem
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Incorporate error resilience in coding
of multimedia information against
correlated network losses.
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15
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Joint source and channel coding
Interleaving in compressed bitstream to preserve compression
Compliance with standards
– Minimum change in encoding
– Decoding using standard
decoder
Solution
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Split and interleave related
information in the frequency domain
so that partial information is
retrievable even under correlated
network losses
Different schemes for standard JPEG,
JPEG 2000 and MPEG standards
optimized for application scenarios.
Published in
J. of Image Representation & Video Coding
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Triangular
Interleaving
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Layer1
Layer2
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Interleaved Image
Original Image
Triangular Interleaving to
preserve partial high
frequency information in
case of brusty network loss
for better edge
reconstruction by error
concealment algorithms
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Approach
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dc
Upper Triangle
(U)
Lower Triangle
(L)
AC's
Applications
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Wireless multimedia applications
Layered coding for progressive decoding &
display of multimedia data
Graceful degradation of quality with
increasing resource constraints
Future Directions
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Error resilience and subsequent
concealment of different video and audio
coding standards
Modeling of loss in different networks
Wireless
Network
ResearchInformation
Initiative
Error Resilience
of Multimedia
Various faculty members
Observation
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Developing countries are offering the
fastest growth in mobile technology
Largest WiMax deployment is being
done in Pakistan (Motorola/Wateen)
Research Strategy
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Address the networking issues for the
4th generation multi-hop broadband
wireless networks
Emphasize the components in the
802.16J architecture
Work with the industry to translate
the research into technology
Icebreaking with 802.16J
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Relay functionality
Access network frequency
management
Admission control
Local and network mobility
management
QoS enhancements via relays
Broadband multimedia services
User Data Rate Distribution
(DL,10MHz, FDD,10 user/secotr)
Tri-Sector Only
2 Relay/Sector
2.5
Data Throughput (Mbps)
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2.0
1.5
1.0
0.5
0.0
0
10
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90
100
Percentile (%)
Future Plan
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Address ALL relevant research areas
Physical Layer (Collaborative MIMO and
OFDMA, ST diversity, Cognitive radio)
RF Hardware (High efficiency linear power
amps, tunable receivers, antenna arrays)
MAC (opportunistic scheduling with fairness)
Networking (Mobility management, handoff
and roaming, Ambient networking)
Services (VoIP, Mobile TV, High Res Games)
Thank You