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My Research and e-Business Virendrakumar C. Bhavsar Professor and Director, Advanced Computational Research Laboratory Faculty of Computer Science – PowerPoint PPT presentation

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1
 
  • My Research and e-Business
  • Virendrakumar C. Bhavsar
  • Professor and
  • Director, Advanced Computational Research
    Laboratory
  • Faculty of Computer Science
  • University of New Brunswick Fredericton, NB
  • bhavsar_at_unb.ca
  • www.cs.unb.ca/profs/bhavsar
  • www.cs.unb.ca/acrl

2
Outline
  • Past Research Work
  • Current Research Work
  • Future Research Work
  • Conclusion

3
Past Research Work
  • ? Parallel/Distributed Processing
  • - Parallel Computer Architecture
  • Design and Analysis of Parallel Algorithms
  • Real-time and Fault-Tolerant Systems
  • ? Artificial Neural Networks
  • ? Learning Machines and Evolutionary
  • Computation
  • ? Computer Graphics
  • Visualization

4
Past Research Work (cont.)
  • ? Multimedia for Education Intelligent Tutoring
    Systems
  • Multi-Lingual Systems and Transliteration
  • Web Portal for an NB company
  • Clustifier and Extractor (IIT, NRC, Ottawa)
  • Intelligent User Profile Generator
  • ? Multi-Agent Systems
  • with Dr. Marsh (IIT, NRC, Ottawa)
  • ? Supervision/Co-supervision
  • 50 master's theses 4 doctoral theses
  • 5 post-doctoral fellows/research associates

5
Current Research Work (cont.)
  • ? Parallel/Distributed Processing
  • - C3-Grid development
  • - Design and analysis of parallel/distributed
  • applications
  • Multi-Agent Systems
  • - Specification and verification of multi-agent
    systems
  • with Dr. Mironov, Russia
  • Information Sharing in Multi-agent Systems
  • with Dr. Ghorbani, UNB

6
ACORN
  • Information diffusion and search in networks
  • All pieces of information - Agents
  • - documents images, etc.
  • Applications
  • B2B and B2C e-Commerce solutions
  • Virtual community creation and support
    systems
  • Personalized directed information handling

7
ACORN Relation to Other Work
  • Search Engines
  • e.g. Alta Vista, Excite, Yahoo, InfoSeek, and
    Lycos
  • If the user has to search, its because the
    information diffusion is
  • not fast enough
  • not accurate enough
  • Recommender Systems
  • Firefly (Maes), Fab (Balabanovic)
  • Content-based or Collaborative
  • ACORNs agents a mixture of both
  • Matchmakers
  • Yenta (Foner)
  • Very close to the ACORN spirit lacks the
    flexibility of ACORN

8
ACORN Relation to Other Work (cont.)
  • Web Page Watchers and Push Technologies
  • Tierra, Marimba, Channels
  • ACORN is a means of pushing new data, reducing
    the need to watch for changes
  • Filtering Systems
  • The filtering in ACORN is implicit in what is
    recommended by humans
  • Knowbots
  • Softbots (Washington, Etzioni, Weld), Nobots
    (Stanford, Shoham)
  • mobile agents for internet search
  • ACORN provides diffusion also

9
tom_at_ucsd.edu
ucsd.edu
ymasrour_at_ai.it.nrc.ca
ai.it.nrc.ca
S e r v e r
bob_at_ai.it.nrc.ca
dick_at_ucsd.edu
steve_at_ai.it.nrc.ca
anwhere.else
foo_at_anywhere.else
cs.stir.ac.uk
meto.gov.uk
joan_at_unb.ca
Clients
bhavsar_at_unb.ca
wibble_at_cs.stir.ac.uk
graham_at_cs.stir.ac.uk
anne_at_cs.stir.ac.uk
10
Café
  • At set intervals, agents present are compared,
    and relevant information exchanged
  • Keyphrase-based Information Sharing
  • A unique method of automating community based
    information sharing

11
CaféCosine Measure method Similarity of
Article 3 (Category 1)

12
Performance Evaluation of ACORN
  • Test-bed Several Autonomous Servers, each
    serving autonomous virtual users
  • Virtual User - capable of creating agents
  • - picks up a topic from a client cores
    interest
  • - migrates to other servers
  • - potential destinations

13
Performance Evaluation of ACORN
14
Future Research Work
  • Multi-Agent Systems B2B-B2C Extensions
  • User-driven personalization
  • Personalized and personalizable automatic
    delivery and search for information
  • Directed advertisements based on user profiles
    and preferences
  • agent learning
  • Data mining over large distributed networks and
    databases
  • Automated and manually-driven user profile
    generation and update

15
Future Research Work (cont.)
  • Multi-Agent Systems for Distributed Databases-
    continuous updating of large and distributed
    databases on intranets and the Internet
  • Multi-Agent Systems
  • - Very naturally satisfy many requirements in
    such an environment
  • - Provide a very flexible and open
    architecture
  • - Scalability analysis with multiprocessor
    servers

16
Professional Activities
  • Professional Involvement
  • - Chair, IEEE NB Section
  • - The C3.ca Association, Inc.(the Canadian
    Consortium for High
  • Performance Computing)
  • Member, Executive Committee and BoD
  • Organized many workshops and conferences
  • - Program-Co-Chair, HPCS2002, June 17-19,
    2002,
  • Moncton, NB
  • - Technical Committee Member, 3rd Workshop on
    Parallel
  • Distributed Science and Engineering
    Computing with
  • Applications, Fort Lauderdale, FL, April
    15-19, 2002.
  • - Program Committee Member, Grid Canada,
    Toronto,
  • February, 2002.

17
Conclusion
  • Broad research background
  • Collaborations
  • - IIT, NRC, Ottawa
  • - UNB, Univ. of IL, USC, C-DAC India, and other
    institutions
  • Professional Involvement
  • e-Business related interests
  • - e.g. user profiling, multi-agent systems,
    Learning and e-Learning, multi-lingual web, high
    performance web servers,
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