Computer Science
Faculty Research Overview
CSIAC Meeting
November 5th 2004
Faculty Research Areas
• Artificial Intelligence
and Robotics
– Eugene Eberbach
– Iren Valova
– Xiaoqin Zhang
• Networks and Systems
– Emad Aboelela
– Vinod M. Vokkarane
• Software Engineering
– Paul Bergstein
– Richard L. Upchurch
• Theory and Formal
Methods
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Jan Bergandy
Eugene Eberbach
Boleslaw Mikolajczak
Haiping Xu
• Vision and Graphics
– Ram Balasubramanian
– Adam O. Hausknecht
– Li Shen
Dr. Emad Aboelela
Assistant Professor
Dr. Emad Aboelela
Degrees
Dr. Emad Aboelela received his Ph.D. in
Computer Engineering from the University of
Miami, Florida, in 1998. He received his M.Sc.
In Computer Science from Alexandria
University, Egypt, in 1993. He joined the
Department of Computer and Information
Science at the University of Massachusetts
Dartmouth in September of 2001
Dr. Emad Aboelela
Teaching
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CIS272 Introduction to Computer Systems
CIS273 Computer Organization and Design
CIS475 Computer Networks
CIS476 Network Programming
CIS577 Computer Networks
CIS579 Multimedia Networking
Dr. Emad Aboelela
Research
 Quality-of-service for multimedia networking.
 Wireless sensor networks.
 Network topology design.
 Parallel IP-address forwarding.
 Network performance measurement and analysis.
Dr. Emad Aboelela
Awards
 Provost Travel Award, University of Massachusetts
Dartmouth, Fall 2003 and Spring 2004.
Graduate School Award of Academic Merit,
University of Miami, Florida, 1998
Jury Award for Graduate Scholarship in Electrical &
Computer Engineering
University of Miami, Florida, 1998.
Dr. Emad Aboelela
Grants
 National Science Foundation (NSF) Collaborative
Research Grant – “Redundant Traffic Encoding and
Marking Scheme for Voice-Over-IP Quality-ofService” – September 2004 to September 2006.
 UMASS Dartmouth Foundation Research Grant,
University of Massachusetts , May 2001 to May
2002.
Dr. Emad Aboelela
Recent Publications
1. Yiluo Song and Emad Aboelela, "A Parallel IP-Address Forwarding
Approach Based on Partitioned Lookup Table Techniques”, The 29th
Conference on Local Computer Networks, Tampa, Florida, November
2004.
2. Phuong Tu and Emad Aboelela, "Genetic Algorithm Approach for
Optimization of Backbone Network Topology Design”, The Fourth
International Network Conference, Plymouth, United Kingdom, July 2004.
3. Phuong Tu and Emad Aboelela, "An Optimization Model for Backbone
Network Topology Design Based on Genetic Algorithm”, 7th INFORMS
Telecommunications Conference, Florida, March 2004.
4. E. Aboelela: "Network Simulation Experiments Manual", Morgan Kaufmann
Publisher, ISBN: 0120421712, June 2003.
Dr. Emad Aboelela
Recent Publications
5. E.Aboelela; C. Douligeris, "Quality of Service via an Optimal Routing
Model", Appears in: “Quality and Reliability of Large Scale
Telecommunication Systems”, Peter Stavroulakis (Editor), Publisher: John
Wiley, ISBN: 0-470-84770-0, pp. 281 - 295, February 2003.
6. E.Aboelela; C. Douligeris, "Fuzzy Reasoning Approach for QoS Routing in
B-ISDN", Journal of Intelligent and Fuzzy Systems, Application in
Engineering and Technology, Vol. 9, pp. 11-27, November 2000
7. E. Aboelela ; C. Douligeris, "Switching Theory Approach to Alarm
Correlation in Network Management”, 25th Conference on Local Computer
Networks, LCN'2000, Tampa, Florida, November 2000.
8. E. Aboelela; C. Douligeris, "Fuzzy Optimization Model For QoS Routing and
Bandwidth Allocation ", World Scientific Publisher, Advances in Informatics,
edited by Dimitrios Fotiadis & Stavros D Nikolopoulos, ISBN 981-02-41925, pp. 18-29, July 2000
Dr. Emad Aboelela
Recent Publications
9. E. Aboelela ; C. Douligeris, "Fuzzy Generalized Network Approach for
Solving an Optimization Model for Routing in B-ISDN", Telecommunication
Systems Journal , Vol. 12 (1999) 2-3, pp. 237-263, December 1999.
10. E. Aboelela; C. Douligeris, " Fuzzy Temporal Reasoning Model for Event
Correlation in Network Management ", 24th Conference on Local Computer
Networks, LCN'99 ,Lowell, Massachusetts, October 1999.
11. E. Aboelela; C. Douligeris, "Fuzzy Optimization Model For QoS Routing and
Bandwidth Allocation ", 7th Hellenic Conference on Informatics, Ioannina,
Greece, August 1999.
12. E. Aboelela, C. Douligeris, "Fuzzy Metric Approach for Routing in B-ISDN",
IEEE 1999 International Conference on Communications, ( ICC99 ),
Vancouver, Canada, June 1999.
Dr. Ram Balasubramanian
Assistant Professor
Dr. Ramprasad Balasubramanian
• Ph.D., Computer Science, June 2000
The University of South Florida, FL, USA
Thesis: Non-Rigid Motion Analysis and its Application to
MPEG-4.
• M.S.O.R., Operations Research, Aug. 2003
The University of Kentucky, KY, USA
• M.S., Applied Mathematics, Aug. 2001
The University of Toledo, OH, USA
• B.Sc., Mathematics, Sep. 1989
The University of Madras, India
Research Interests
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2-D and 3-D Visualization
Rigid and Non-Rigid Motion Analysis
Pattern Recognition
Artificial Intelligence
Human-Computer Interaction
Selected Publications
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Chaudhuri, A., Gangopadhyay, R. Balasubramanian and S. Ray, Automated
Oceanographic feature detection from high resolution satellite
images, Proceedings of the Seventh IASTED International Conference on
Computer Graphics and Imaging, 2004, Hawaii, August, 2004, 217-223.
Detecting and Tracking of Mesoscale Oceanic Features in the Miami
Isopycnic Circulation Ocean Model. Ramprasad Balasubramanian, Amit
Tandon, Bin John and Vishal Sood. Proceedings of The IASTED International
Conference on Visualization, Imaging, and Image Processing VIIP 2003, Pg.
169-174. Sept 8-10, Benalmedena, Spain.
Visualization methods for heat transport in Miami Isopycnic
Circulation Ocean Model (MICOM) by Ramprasad Balasubramanian, Amit
Tandon and Vishal Shah. Proceedings of the Fifth IASTED International
Conference on Computer Graphics and Imaging (CGIM 2002) August 12-14,
2002, pp 281-286, Kauai, Hawaii, USA.
Min Shin, Ramprasad Balasubramanian and Dmitry Goldgof. Framework for
Integrating 2D Points and Curves for Tracking 3D Nonrigid Motion
and Structure. Proceedings of the International Conference on Pattern
Recognition (ICPR), v3, pp. 831-834, September 2000.
Research Projects
• Extraction, Segmentation and Tracking of Eddies in Miami
Isopycnic Circulation Ocean Model (3 Grad Students + 1
Physics Faculty)
• Extraction of Eddies, Upwelling and other significant
features in SST (Sea Surface Temperature) Satellite Data
(2 Graduate Students + 1 Physics Faculty)
• Modeling and Shape Analysis of Eddy Structures (1 Grad
Student + 1 CIS Faculty)
• Visualization of Eddy for Heat Transport Diagnosis in the
CAVE (Collaboration with Faculty at Brown University)
• Non-Rigid Motion Analysis (Collaboration with Faculty at
UNCC)
What are mesoscale eddies
• Mesoscale: Size scale of about 100km
• Eddies are energetic swirling currents found
all over the ocean
• Mesoscale eddies have deep roots of about
5km
• They can transport momentum to the sea
floor
Why are mesoscale eddies important?
• Poleward Heat transport
– Heat moved by the from the equator towards
poles
– An important quantity in Climate Studies
– Oceans are partly responsible for poleward heat
transport
– Contribution of mesoscale eddies to heat
transport
Why are mesoscale eddies important?
• Biological communities of the ocean
– Strongly affected by ocean circulation and
mesoscale eddies
– Nutrient rich cold water at the bottom
– Cold cyclonic eddies can lift this nutrient waters
towards surface
– Sunlight on surface helps nutrient rich water
promote chlorophyll rich plankton, and thereby
the food chain from plankton to whales
Statistical
Border
Detection
Circle vs Ellipse – Segmentation Study
Difference in Clustering Based Feature
Extraction in SST Satellite Data
Visualization in the CAVE
Non-Rigid Motion Analysis –
FAP Estimation
Dr. Bolek Mikolajczak
Professor
Dr. Bolek Mikolajczak
• Dr. Habilitis – post-doctoral degree in Computer
Science with distinction, Poznan University of
Technology and State Commission on Academic
Cadres, 1979
• Ph. D. in Computer Science with distinction,
Poznan University of Technology, 1974
• MS in Mathematics, Adam Mickiewicz University,
Poznan, Poland, 1972
• MS in Control Engineering with Specialization in
Digital Systems, Poznan University of Technology,
1970
1. Software Development of Concurrent
Computing Systems
• Integrating Object-Oriented Design and High-Level
Petri Nets in Development of Concurrent Software
Systems
• Integration of Object Oriented Design and Colored
Petri Nets with Abstract Node Approach
• Conceptual Modeling of Concurrent Systems
through Stepwise Abstraction Using Petri Net
Vicinity Preserving Morphisms
Software Development and Engineering of
Concurrent Computing Systems, ctnd.
• Modeling and Resolving Inheritance Anomaly in
Concurrent OO Systems with Colored Petri Nets
• Modeling and Analyzing Multi-level Security
Features of Complex Information Systems using
Colored Petri Nets
Combining OO with Petri Nets
Abstract Node Approach
2. Design of Parallel Algorithms
• Parallel Algorithm Computing All
Homomorphisms of Deterministic Finite
Automata (all decompositions) – algorithm
design, analysis and MPI and transputerbased implementations
• Experimental study of time and space
performance of Parallel ocean modeling
system with MPI implementation
3. Design and Analysis of Workflow
Management Systems
• Design and Verification of Information Systems,
and in particular, Workflow Management Systems
• Workflow (Mining) Rediscovery Algorithms and
their Complexity
• Workflow Modeling and Analysis Using Petri Nets
• Modeling and Verifying Manufacturing/ Production
Systems as Workflows using Petri Nets
4. Grants
• NSF 01-52; ATE Articulation Partnerships,
Establishing an Articulated Computer
Science Program: From BCC through UMD,
co-principal investigator with P. Grocer, BCC;
$309,000
• CITI, PhaseII-IFAC, Program Committee
member, $1 mln, 2004-2005.
Grants, ctnd.
• 2000-2001;
BHE
Commomwealth
Information Technology Initiative (CITI)
Grant, $144,858.
• 2001-2002; Federal Grant, Naval Undersea
Warfare Center, Newport, RI, Software
Engineering of Web-enabled Navy, PI, coinvestigators: P. Bergstein and R. Upchurch,
$25,000.
5. Most recent publications
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Mikolajczak, B., Wang, Z., Conceptual Modeling of Information Systems with
Morphisms of Petri Nets, “Intelligent Information Processing and Web Mining”,
IIS’03, Zakopane, Poland, June 2-5, 2003; Advances in Soft Computing,
Springer, Physica Series, 2003, pp. 535-540.
Mikolajczak B., Sefranek, Ch. Integrating Object-Oriented Design with Petri
Nets – A Case Study of ATM System, 2003 IEEE International Conference
Systems, Man, Cybernetics SMC’2003, Washington, DC, Oct. 5-8, 2003, IEEE
Computer Society Press.
Mikolajczak, B., Wang Z., Conceptual Modeling of Concurrent Systems through
Stepwise Abstraction and Refinement using Petri Net Morphisms, 22nd
International Conference on Conceptual Modeling, ER2003, Chicago, Illinois,
Oct. 13-16, 2003, in: Lecture Notes in Computer Science, Springer-Verlag, vol.
2813, pp. 433-445.
Mikolajczak, B., Stepwise Abstractions of Workflow Systems using Petri Net
Morphisms, Proc. of the 2004 IEEE International Conference on Networking,
Sensing and Control, March 21-23, 2004, Taipei, Taiwan.
Dr. Li Shen
Assistant Professor
Dr. Li Shen
• Ph.D., Computer Science, 2004
Dartmouth College, Hanover, NH, USA
Thesis: Three Dimensional Shape Analysis with Parametric
Surface Modeling
• M.S., Computer Science, 1996
Shanghai Jiao Tong University, China
Thesis: A Rapid Normalization Technique in Term Rewriting
Systems
• B.S., Computer Science, 1993
Xi’an Jiao Tong University, China
Thesis: The Design and Implementation of A Personnel and
Salary Information Management System
Research Areas
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Image processing and computer vision
Pattern analysis and machine intelligence
Data mining and bioinformatics
Geometric modeling and graphics
Selected Publications (1)
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Li Shen, James Ford, Fillia Makedon, and Andrew Saykin. A surface-based
approach for classification of 3D neuroanatomic structures. Intelligent Data
Analysis, An International Journal, 8(5), to appear.
Li Shen, Ling Gao, Zhenwu Zhuang, Ebo DeMuinck, Heng Huang, Fillia
Makedon, and Justin Pearlman. An interactive 3D visualization and
manipulation tool for effective assessment of angiogenesis and arteriogenesis
using computed tomographic angiography. SPIE Medical Imaging 2005, San
Diego, California, 12-17 February 2005.
Li Shen and Fillia Makedon. Spherical parameterization for 3D surface analysis
in volumetric images. IEEE Conference on ITCC'04: International Conference
on Information Technology, pp 643-649, Las Vegas, NV, April 5-7, 2004.
Li Shen, Fillia Makedon, and Andrew Saykin. Shape-based discriminative
analysis of combined bilateral hippocampi using multiple object alignment.
Medical Imaging 2004: Image Processing, SPIE Proceedings 5370, pp 274-282,
San Diego, California, 14-19 February 2004.
Li Shen, James Ford, Fillia Makedon, Yuhang Wang, Tilmann Steinberg, Song
Ye, and Andrew Saykin. Morphometric analysis of brain structures for improved
discrimination. MICCAI'03: Medical Image Computing and Computer Assisted
Intervention, LNCS 2879, pages 513-520, Montreal, Canada, Nov 15-18, 2003.
Selected Publications (2)
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Li Shen, Ling Cheng, Faye Teng, Fillia Makedon, James Ford, Tilmann
Steinberg, and Andrew J. Saykin. A multimedia system for tracing and studying
regions-of-interest in brain images. MTAC'01: IEEE Multimedia Technology and
Application Conference, pages 238-245, Irvine, CA, November 7-9, 2001.
Li Shen, Ling Cheng, James Ford, Fillia Makedon, Vasileios Megalooikonomou,
and Tilmann Steinberg. Mining the most interesting web access associations.
WebNet'00: World Conference on the WWW and Internet, pages 489-494, San
Antonio, TX, Oct. 30-Nov. 4, 2000.
V. Megalooikonomou, James Ford, Li Shen, and Fillia Makedon. Data mining in
brain imaging. Statistical Methods in Medical Research, 9(4):359-394, 2000.
Li Shen, Hong Shen, Ling Cheng, and Paul Pritchard. Fast association
discovery in derivative transaction collections. Knowledge and Information
Systems, An International Journal, 2(2):147-160, May 2000.
Li Shen, Hong Shen, and Ling Cheng. New algorithms for efficient mining of
association rules. Information Sciences, 118(1-4):251-268, September, 1999.
Li Shen and Hong Shen. Mining flexible multiple-level association rules in all
concept hierarchies. DEXA'98: The 9th International Conference on Database
and Expert Systems Applications, LNCS 1460, pp 786-795, Vienna, Austria,
August 24-28, 1998.
Selected Projects
Shape Classification
Goal: Learn a shape-based medical classifier
Healthy
Classifier:
Schizophrenic
Schizophrenic or not?
Selected Projects
Surface registration
Sample application: measuring ventricle wall thickness
Joint work with Dartmouth Advanced Imaging Center at Dartmouth Medical School
Selected Projects
Shape analysis of brain
structures
– Hippocampus
– Amygdala
– Entorhinal cortex
Goal: distinguish the
following populations to
help diagnosis
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Healthy normal
Cognitive complaint
Mild cognitive impairment
Alzheimer disease
Joint work with Dartmouth Brain
Imaging Laboratory at Dartmouth
Medical School
Selected Projects
Lung Image Analysis
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Lung nodule classification
Goal: Distinguish
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Cancer
Inflammatory
Scar
Joint work with Dartmouth Advanced
Imaging Center at Dartmouth
Hitchcock Medical Center
Selected Projects
Interactive Vessel Manipulation
Goal: effective assessment of angiogenesis and arteriogenesis using
computed tomographic angiography
Joint work with Dartmouth Advanced Imaging Center at Dartmouth Medical School
Dr. Iren Valova
Associate Professor
Dr. Iren Valova
• PhD in Computer Science
– Tokyo Institute of Technology, Japan 1997
• Postgraduate MS in Applied Mathematics
and Informatics
– Technical University, Sofia, Bulgaria, 1993
• BS/MS in Computer Science
– Technical University, Sofia, Bulgaria, 1991
Research areas
• Neural Networks
– Learning algorithms
– Architectures
– Brain modeling and simulations
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Data Mining
Image Processing
Machine Learning
Artificial Intelligence
Recent Publications - Journal
• I.Valova, N.Gueorguieva, Y.Kosugi, Oscillation-driven
neural network for simulation of olfactory system. Springer
Neural Computing and Applications, Vol.13, No.1, pp 6579, April 2004.
• N.Gueorguieva, I.Valova, DYPOF: Dynamically Adaptive
Neural Network With Potential Functions. Journal of Smart
Engineering System Design, 5:517-536, No.4, 2003.
• I.Valova, Y.Kosugi. Hadamard-based image decomposition
and compression. IEEE Transactions on Information
Technology in Biomedicine, vol.4, No.4, pp 306-319,
December 2000.
Selected Recent Publications Conference
• I.Valova, N.Gueorguieva, F.Troescher, Synchronization of Spiking
Neurons Modeling Inhibition / Excitation Firing, ASME Press Series on
Intelligent Engineering Systems Through Artificial Neural Networks
(ANNIE 2004)
• I.Valova, G.Milano, K.Bowen, Optimizing Genetic Algorithms to Train
Fully Connected Feedforward Neural Networks, ASME Press Series on
Intelligent Engineering Systems Through Artificial Neural Networks
(ANNIE 2003), pp 391-396, In Part 2: Evolutionary programming,
Volume 13, Smart Engineering System Design, eds C. Dagli et al, 2003.
• N.Gueorguieva, I.Valova, Building RBF Neural Network Topology
Through Potential Functions, Springer-Verlag Series: Lecture Notes in
Computer Science. Vol.2714. Artificial Neural Networks and Neural
Information Processing (ICANN – ICONIP 2003), pp 1033 – 1040,
Kaynak, E. Alpaydin, E. Oja, L. Xu (Eds.), ISBN 3-540-40408-2
Invited seminars
• Dynamics of Odor Encoding: Neural Circuit
Modeling, Seminar on Medical Imaging and
Visualization , 2002
Awards and recognition
• Best paper award in the Theoretical Developments in
Computational Intelligence category at the Artificial Neural
Networks in Engineering (ANNIE’02): Smart Engineering
System Design – Neural Networks, Fuzzy Logic,
Evolutionary Programming, and Data Mining conference,
St. Louis, Missouri, USA, November 3-6, 2002
• Reviewer for the US Department of Education, Fund for
Improvement for Postsecondary Education grant evaluation
session
Current research projects
• Simulation of olfactory information
processing
– Oscillatory model
– Spiking neuron model
Current research projects
• Radial basis function neural networks
– Potential functions-based learning algorithm
– Clustering
Current research projects
• Self-organizing feature maps
– Growing parallel architectures and algorithms
– Autonomous learning SOMs
Current research projects
• Independent component analysis
– Neural network architectures
Dr. Vinod M. Vokkarane
Assistant Professor
Dr. Vinod Vokkarane
• Ph.D., Computer Science, Aug. 2004
The University of Texas at Dallas, USA
Thesis: Design of Architectures and Protocols for Optical BurstSwitched Networks
• M.S., Computer Science, Dec. 2001
The University of Texas at Dallas, USA
Thesis: Burst Segmentation: A New Approach to Reduce Packet Loss in
Optical Burst-Switched Networks
• B.Eng. (Hons), Computer Science and Eng., Sep. 1999
The University of Mysore, India
Thesis: Design and Implementation of LDAP
Research Interests
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Optical Networks
Wireless Networks
Sensor Networks
Satellite Communication Networks
Information Security
Selected Publications
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Book: J.P. Jue and V.M. Vokkarane, “Optical Burst Switched Networks,” Springer, 2005.
Q. Zhang, V.M. Vokkarane, J.P. Jue, and B. Chen, "Absolute QoS Differentiation in Optical Burst-Switched
Networks," to appear, IEEE Journal of Selected Areas of Communications (JSAC), vol. 22, no. 9, Nov. 2004.
Q. Zhang, V.M. Vokkarane, and J.P. Jue, "Path Clustering: An Approach to Implement Absolute QoS
Differentiation in Optical Burst-Switched Networks," accepted, IEEE Globecom 2004, Dallas, TX.
V.M. Vokkarane, J. Wang, R. Jothi, X. Qi, B. Raghavachari, and J.P. Jue, "Dynamic Dual-Homing
Protection in WDM mesh Networks," Proceedings, IEEE ICC 2004, Paris, France, June 2004.
R. Jothi, and V.M. Vokkarane, "Threshold-Based Differentiated Intermediate-Node Initiated (TDINI)
Signaling for Optical Burst-Switched Networks," Proceedings, Informs TELECOM 2004, Mar. 2004.
J. Wang, V.M. Vokkarane, X. Qi, and J.P. Jue, "Dual-Homing Protection in WDM Mesh Networks,"
Proceedings, IEEE/OSA OFC 2004, Los Angeles, CA, Feb. 2004.
Q. Zhang, V.M. Vokkarane, B. Chen, and J.P. Jue, "Early Drop and Wavelength Grouping Schemes for
Providing Absolute QoS Differentiation in Optical Burst-Switched Networks," Proceedings, IEEE Globecom
2003, San Francisco, CA, vol. 5, pp. 2628-2632, Dec. 2003.
V.M. Vokkarane and J.P. Jue, "Burst Segmentation: an Approach for Reducing Packet Loss in Optical
Burst-Switched Networks ," Special Issue on Engineering the Next Generation Optical Internet,
SPIE/Kluwer Optical Networks, vol. 4, no. 6, pp. 81-89, Nov./Dec., 2003.
G. Thodime, V.M. Vokkarane, and J.P. Jue, "Dynamic Congestion-Based Load Balanced Routing in Optical
Burst-Switched Networks," Proceedings, IEEE Globecom’03, vol. 5, pp. 2694-2698, Dec. 2003.
V.M. Vokkarane and J.P. Jue, "Segmentation-Based Non-Preemptive Scheduling Algorithms for Optical
Burst-Switched Networks, " Proceedings, WOBS 2003, Dallas, TX, Oct. 2003.
F. Farahmand, V.M. Vokkarane, and J.P. Jue, "Practical Priority Contention Resolution for Slotted Optical
Burst Switching Networks, " Proceedings, WOBS 2003, Dallas, TX, Oct. 2003.
Selected Publications (cont.)
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V.M. Vokkarane and J.P. Jue, "Prioritized Burst Segmentation and Composite Burst Assembly Techniques for
QoS Support in Optical Burst-Switched Networks," IEEE Journal of Selected Areas of Communications (JSAC),
vol. 21, no. 7, pp. 1198-1209, Sept. 2003.
Q. Zhang, V. M. Vokkarane, B. Chen, and J.P. Jue, "Early Drop Scheme for Providing Absolute QoS
Differentiation in Optical Burst-Switched Networks," Proceedings, IEEE HPSR 2003, Torino, Italy, pp. 153-157,
June 2003.
V.M. Vokkarane, G. Thodime, V. Challagulla, and J.P. Jue, "Channel Scheduling Algorithms using Burst
Segmentation and FDLs for Optical Burst-Switched Networks," Proceedings, IEEE ICC 2003 conference,
Anchorage, Alaska, vol. 2, pp. 1443-1447, May 2003.
R. Karanam, V.M. Vokkarane, and J.P. Jue, "Intermediate Node Initiated (INI) Signaling: A Hybrid Channel
Reservation Technique for Optical Burst-Switched Networks," Proceedings, IEEE/OSA OFC 2003, Atlanta,
TuJ2, vol. 1, pp. 213-215, Mar. 2003.
V.M. Vokkarane, Q. Zhang , J.P. Jue, and B. Chen, "Generalized Burst Assembly and Scheduling Techniques
for QoS Support in Optical Burst-Switched Networks," Proceedings, IEEE Globecom 2002, Taipei, Taiwan, Nov.
2002.
V.M. Vokkarane, K. Haridoss, and J.P. Jue, "Threshold-Based Burst Assembly Policies for QoS Support in
Optical Burst-Switched Networks," Proceedings, SPIE Optical Networking and Communication Conference
(OptiComm) 2002, Boston, MA, vol. 4874, pp. 125-136, July 2002.
V.M. Vokkarane, J.P. Jue, and S. Sitaraman, "Burst Segmentation: an Approach for Reducing Packet Loss in
Optical Burst-Switched Networks," Proceedings, IEEE International Conference on Communications (ICC)
2002, New York, NY, vol. 5, pp. 2673-2677, Apr. 2002.
V.M. Vokkarane and J.P. Jue, "Prioritized Routing and Burst Segmentation for QoS in Optical Burst-Switched
Networks," Proceedings, IEEE/OSA Optical Fiber Communication Conference (OFC) 2002, Anaheim, CA, WG6,
pp. 221-222, Mar. 2002.
Invited Talks and Awards
• Invited Talks
– "QoS in Optical Burst-Switched Networks," Dept. of Computer
Science, Hong Kong University of Science and Technology, Nov. 25,
2002.
– “Burst Segmentation: an Approach for Reducing Packet Loss in
Optical Burst-Switched Networks,” State Univ. of New York (SUNY)
at Buffalo, May 3, 2002.
• Awards
– Best Dissertation Award, UT-Dallas, 2003-04
– Texas Telecommunication Engineering Consortium Fellowship 200203
Research Projects
• Optical Burst-Switched Networks
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Scheduling and Signaling
Quality of Service
Congestion Control
TCP Performance
• Multi-Layer Survivability using Dual-Homing Protection over
Wireless and Optical Networks
• Energy-Efficient Routing and Information Security in
Wireless Sensor Networks
QoS in Optical Burst Switching
Burst
Segmentation
Prioritized
Scheduling
Composite Burst Assembly
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Burst Segmentation: minimizes
data loss
Prioritized Scheduling: supports
for different classes of traffic
Composite Burst Assembly:
further minimizes packet loss
Efficient utilization of network
resources
Publications: IEEE JSAC 2003, SPIE/Kluwer Optical Networks 2003, IEEE [ICC, OFC, GLOBECOM] 2002
Multi-Layer Survivability using
Dual-Homing Protection
Coordinated Dual-Homing Protection across multiple networks [ICC 2004, OFC 2004]
Dr. Haiping Xu
Assistant Professor
Dr. Haiping Xu
• Ph.D. in Computer Science, University of
Illinois at Chicago, Chicago, Illinois, 2003.
• M.S. in Computer Science, Wright State
University, Dayton, Ohio, 1998.
Academic/Research Specializations
• Current teaching and research interests:
theoretical computer science, software
engineering and distributed computing.
• Special interest and expertise: model-based
software development and agent-oriented
software engineering.
• Specific research issues in this area include:
– formal specification and design of complex software
systems;
– model-based development of agent-oriented software,
including design and implementation of software agents;
– real-world applications of agent technology.
Journal Publications
• Haiping Xu, Zhiguo Zhang, and Sol M. Shatz, "A Security Based Model
for Mobile Agent Software Systems," Submitted to the International
Journal of Software Engineering and Knowledge Engineering (IJSEKE),
August 2004.
• Haiping Xu and Sol M. Shatz, “ADK: An Agent Development Kit Based
on a Formal Model for Multi-Agent Systems,” Journal of Automated
Software Engineering (AUSE), October 2003, Vol. 10, No. 4, pp. 337365.
• Haiping Xu and Sol M. Shatz, “A Framework for Model-Based Design of
Agent-Oriented Software,” IEEE Transactions on Software
Engineering (IEEE TSE), January 2003, Vol. 29, No. 1, pp. 15-30.
• Ravi K. Gedela, Sol M. Shatz, and Haiping Xu, “Compositional Petri Net
Models of Advanced Tasking in Ada-95,” Computer Languages, July
1999, Vol. 25, No. 2, pp. 55-87.
Conference Publications
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Haiping Xu and Xiaoqin Zhang, "A Methodology for Role-Based Modeling of Multi-Agent
Software Systems," Submitted to the 27th International Conference on Software
Engineering (ICSE-2005), August 2004.
Haiping Xu and Sol M. Shatz, “A Framework for Modeling Agent-Oriented Software,” In
Proceedings of the 21st International Conference on Distributed Computing Systems
(ICDCS-21), April 16-19, 2001, Phoenix, Arizona, USA, pp. 57-64.
Haiping Xu and Sol M. Shatz, “An Agent-Based Petri Net Model with Application to
Seller/Buyer Design in Electronic Commerce,” In Proceedings of the Fifth International
Symposium on Autonomous Decentralized Systems (ISADS 2001), March 26-28, 2001,
Dallas, Texas, USA, pp. 11-18.
Haiping Xu and Sol M. Shatz, “Extending G-Nets to Support Inheritance Modeling in
Concurrent Object-Oriented Design,” In Proceedings of the IEEE International
Conference on Systems, Man, and Cybernetics (SMC 2000), October 8-11, 2000,
Nashville, Tennessee, USA, pp. 3128-3133.
Ravi K. Gedela, Sol M. Shatz, and Haiping Xu, “Formal Modeling of Synchronization
Methods for Concurrent Objects in Ada 95,” In Proceedings of the ACM Annual
International Conference on Ada (SIGAda'99), October 17-21, 1999, Redondo Beach, CA,
USA, pp. 211-220.
Invited Seminar Lectures
• Haiping Xu, “A Model-Based Approach for
Development of Multi-Agent Software
Systems,”, Computer Science Colloquium,
Computer Science Department, University of
Massachusetts Boston, December 2003.
Honors
• University Fellowship, University of Illinois,
Chicago, IL, 2001.
• Dayton Area Graduate Studies Institute
(DAGSI) Scholarship, Dayton, OH, 1998.
Current Research Projects
• Secure, Personalized Mobile Agents for
Stock Trading.
• Multi-Agent System for Online Auctions.
• Role-Based Modeling of Multi-Agent
Software Systems.
Dr. Xiaoqin Zhang
Assistant Professor
Dr. Xiaoqin Zhang
Doctor of Philosophy, Computer Science.
University of Massachusetts at Amherst, September, 2002.
Master of Science, Computer Science.
University of Massachusetts at Amherst, 1998.
Bachelor of Science, Computer Science.
University of Science & Technology of China, P.R.China,
1995.
Journal Publications
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4.
5.
Xiaoqin Zhang, Victor Lesser and Sherief Abdallah, “Efficient Management of MultiLinked Negotiation Based on a Formalized Model”, accepted by the Journal of
Autonomous Agents and MultiAgent Systems, to appear.
Xiaoqin Zhang, Victor Lesser, Rodion Podorozhny "Multi-Dimensional, MultiStep
Negotiation for Task Allocation in a Cooperative System". Journal of Autonomous
Agents and MultiAgent Systems, 7, page 1-36, 2004.
Xiaoqin Zhang, Victor Lesser and Tom Wagner. “A Layered Approach to Complex
Negotiations”. In the (WIAS) Web Intelligence and Agent Systems: An International
Journal. Page 91-104, Vol 2. No. 2. 2004. IOS Press, Netherlands.
Victor Lesser, Bryan Horling, Frank Klassner, Anita Raja, Thomas Wagner, and Shelley
XQ. Zhang. "BIG: An Agent for Resource-Bounded Information Gathering and
Decision Making."
In Artificial Intelligence journal, Special Issue on Internet
Information Agents, Volume 118, Number 1-2, pp. 197-244, May 2000, Elsevier
Science. Also available as UMass Computer Science Technical Report 1998-52.
Victor Lesser, Bryan Horling, Anita Raja, Thomas Wagner, and Xiaoqin Zhang.
"Resource-Bounded Searches in an Information Marketplace." In IEEE Internet
Computing: Agents on the Net, Volume 4, Number 2, pp. 49-57, March 2000, IEEE
Computer Society Publications.
Conference Publications
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3.
4.
5.
Shen, Jiaying; Zhang, Xiaoqin; and Lesser, Victor. “Degree of Local Cooperation and its
Implication on Global Utility”. In Proceedings of Third International Joint Conference on
Autonomous Agents and MultiAgent Systems (AAMAS 2004). July, 2004. To appear.
Xiaoqin Zhang, Victor Lesser and Tom Wagner "A Two-Level Negotiation Framework for
Complex Negotiations", In the Proceedings of the IEEE/WIC International Conference on
Intelligent Agent Technology (IAT 2003). pp. 311-317. 2003, Halifax, Canada. Acceptance
rate 23%.
Xiaoqin Zhang, Victor Lesser and Tom Wagner "Integrative Negotiation In Complex
Organizational Agent Systems", In the Proceedings of the IEEE/WIC International
Conference on Intelligent Agent Technology (IAT 2003). pp. 140-146. 2003. Halifax,
Canada. Acceptance rate 23%.
Xiaoqin Zhang, Victor Lesser "Multi-Linked Negotiation in Multi-Agent System" In the
Proceedings of the First International Joint Conference on Autonomous Agents & MultiAgent
Systems (AAMAS 2002), acceptance rate 26%. Page 1207-1214. July 15-19, 2002, Bologna,
Italy.
Xiaoqin Zhang, Rodion Podorozhny, Victor Lesser, "Cooperative, MultiStep Negotiation Over
a Multi-Dimensional Utility Function Multi-Agent Systems Negotiation," Proceedings of the
IASTED International Conference, Artificial Intelligence and Soft Computing (ASC 2000),
pages:136-142. ASTED/ACTA Press, Banff, Canada, July 2000.
Current research projects:
sophisticated negotiation
This research is focused on the sophisticated negotiation in multi-agent
systems for complex distributed applications. It explores a number of ideas
to speed up the negotiation and reduce the computational burden
involving how to order overlapping negotiations in time and abstractions,
and how to constrain individual negotiation in terms of a concept called
flexibility and where to pre-plan for the possibility of re-visiting settled
negotiations by introducing flexibility into the original statement of the issue
being negotiated so as to limit the effects of re-negotiation on other settled
issues. Specifically, we focus on the following issues related to
negotiations in our target application areas: ordering of multiple Related
negotiations, abstraction in hierarchical negotiation, and flexibility
management for sophisticated negotiations.
Study of Formation of Virtual
Organization
•
Virtual organization refers to the temporary teaming of organizations for the rapid
development of a new product or service; by sharing physical, human and knowledge
resources, via information technologies, a virtual organization enables member
enterprises to share skills, costs, access to one another’s markets and, at the same time
decrease the risk of investments. To realize this new generation of business model, the
ability to form, operation, and dissolution of virtual enterprise is of foremost importance.
While the concepts of virtual organization are similar to a traditional vertically integrated
enterprise, however, its implementation in e-marketplace remains a difficult task as
challenges and obstacles remain unsolved.
•
The project is to implement a multi-agent system that simulates an artificial emarketplace, for which we have derive mechanisms for the decision-making processes in
various stages of a virtual organization. In order to better understand the organizational
problem, we have conducted experiments to study the behaviors of individual
organizations (represented by agents) under different control settings. In additional, we
have modified a statistical model, that predicts scheduling conflicts and agent rewards,
as a verification tool for the correctness of our agent system.
Emotional and rational agents
•
There are two approaches to build intelligent agents. Traditional AI approach is to
develop rational agent, rational technologies include searching, logic reasoning,
planning, scheduling, learning, probabilistic reasoning, decision making, and etc.
Another approach is to build emotional agents based on affective mechanisms. A
number of applications for emotional agents have been explored. However, little
work has been done to study the connection of the traditional AI mechanisms
(rational approaches) and the new affective computing mechanisms (emotionbased approaches).
•
In this project is to build a hybrid agent architecture, which integrates both rational
reasoning mechanisms and emotional mechanisms. With such architecture, we are
going to verify the hypothesis that whether the emotional mechanisms improve the
agent’s performance, and in what circumstance. We will also like to explore how the
emotion affects agent’s social behavior. Additionally, this project will create a testbed for social science researchers to run experiments and test hypothesis related
to emotion and social behavior.
Thank You!
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