Biography:
Ph.D.
Research:
Peer-to-peer networks, sensor networks and the web are instances
of dynamic data networks, the next generation of the distributed
database systems with large scale, autonomous nodes, and dynamic
data-set, node-set, and topology. Despite the complexity of the
new physical level at these databases, they are expected to provide
a superset of the traditional database functionality while maintaining
the same user view.
I study approaches to extend the data management techniques (and
particularly, query processing methods) from the database literature
to adapt to the complex physical level of these new database systems.
I believe modeling these distributed database systems upon autonomic
complex systems such as social networks is a key solution to enable
the adaptation process. With my thesis, titled "Approximate
Query Answering in Unstructured Peer-to-Peer Databases",
I particularly focus on developing sample-based distributed query
processing techniques to answer both set-valued and aggregate
SQL queries in peer-to-peer databases.
Keywords: Distributed Data Management, Peer-to-Peer Databases,
Sensor Databases, Approximate Query Answering, Sampling, Similarity
Search, Complex Systems, Percolation Theory, Small-World
Projects:
- Digest: A generic testbed for evaluation of the distributed
query processing algorithms in peer-to-peer databases
- Kerena: A peer-to-peer streaming system
- WSPDS (Web Services Peer-to-peer Discovery Service): A
peer-to-peer discovery service for Web Services
- SNDB (Sensor Network Database): A remote environment-monitoring
system enabled by a network of sensors embedded in the environment
Publications:
- Farnoush Banaei-Kashani and Cyrus Shahabi, Self-sufficient
and adaptive sampling for aggregation in peer-to-peer databases,
submitted for review.
- Farnoush Banaei-Kashani and Cyrus Shahabi, Partial query processing
in peer-to-peer databases, submitted for review.
- Farnoush Banaei-Kashani and Cyrus Shahabi, Continuous aggregate
queries in peer-to-peer databases, submitted for review.
- Farnoush Banaei-Kashani and Cyrus Shahabi, Partial
Selection Query in Peer-to-Peer Databases, Proceedings of
the 22nd International Conference on Data Engineering (ICDE'06),
April 2006.
- Cyrus Shahabi and Farnoush Banaei-Kashani. Modeling
Peer-to-Peer Data Networks under Complex System Theory,
International Journal of Computational Science and Engineering
(IJCSE), Accepted for Publication.
- Farnoush Banaei-Kashani and Cyrus Shahabi, SWAM:
A Family of Access Methods for Similarity Search in Querical
Data Networks, Information and Knowledge Management
(CIKM'04), Washington D.C., November 2004.
- Farnoush Banaei-Kashani, Ching-Chien Chen, and Cyrus Shahabi,
WSPDS: Web Services
Peer-to-peer Discovery Service, International Symposium
on Web Services and Applications(ISWS'04), Nevada, June 2004.
- Farnoush Banaei-Kashani and Cyrus Shahabi, Searchable
Querical Data Networks, International Workshop on Databases,
Information Systems and Peer-to-Peer Computing in conjunction
with VLDB'03 , Berlin, Germany, September, 2003
- Farnoush Banaei-Kashani, Cyrus Shahabi, Brief
Announcement: Efficient Flooding in Power-Law Networks,
Twenty-Second ACM Symposium on Principles of Distributed Computing
(PODC'03) , Boston, Massachusetts, July, 2003
- Farnoush Banaei-Kashani and Cyrus Shahabi, Criticality-based
Analysis and Design of Unstructured Peer-to-Peer Networks as
Complex Systems, Third International Workshop on Global
and Peer-to-Peer Computing (GP2PC) in conjunction with CCGrid'03
, Tokyo, Japan, May, 2003.
- Cyrus Shahabi, Farnoush Banaei-Kashani, Decentralized
Resource Management for a Distributed Continuous Media Server,
IEEE Transactions on Parallel and Distributed Systems, Vol.
13, No. 7, pp. 710-727, July 2002.
M.S.
Research:
Projects:
- InSite: Web Usage Mining (WUM) for web persnalization
Publications:
- Cyrus Shahabi, Farnoush Banaei-Kashani, Efficient
and Anonymous Web Usage Mining for Web Personalization,
, To appear in INFORMS Journal on Computing - Special Issue
on Data Mining, 2002.
- Cyrus Shahabi, Farnoush Banaei-Kashani, A
Framework for Efficient and Anonymous Web Usage Mining Based
on Client-Side Tracking, , Book Chapter: Lecture Notes
in Computer Science - Mining Log Data Across A11 Customer Touch
Points (WebKDD'01), VOL. 2356, 2001.
- Cyrus Shahabi, Farnoush Banaei-Kashani, Yi-Shin Chen, Dennis
McLeod, Yoda: An Accurate and
Scalable Web-based Recommendation System, Sixth International
Conference on Cooperative Information Systems (CoopIS'01) ,
Trento, Italy, September 2001.
- Cyrus Shahabi, Farnoush Banaei-Kashani, Jabed Faruque, and
Adil Faisal, Feature Matrices:
A Model for Efficient and Anonymous Web Usage Mining
, 12th International Workshop on Database and Expert Systems
Applications (DEXA - ECWeb'01), Germany, September 2001.
- Cyrus Shahabi, Farnoush Banaei-Kashani, and Jabed Faruque,
A Reliable, Efficient, and
Scalable System for Web Usage Data Acquisition, WebKDD'01
Workshop in conjunction with the ACM-SIGKDD 2001, San Francisco,
CA, August, 2001.
Services:
- USENIX 2006, Co-reviewer
- SIGMOD 2005, Co-reviewer
- SIGCOMM 2005, Co-reviewer
- CIKM 2004, Session Chair
- SIGMOD 2004, Co-reviewer
- SIGCOMM 2003, Co-reviewer
- CIKM 2003, Co-reviewer
- SIGMETRICS 2002, Student Volunteer
- CIKM 2002, Co-reviewer
- MM 2001, Co-reviewer
Contact
Information:
| E-mail address:
| banaeika@usc.edu |
| Contact
Numbers: |
Office (RTH-323): (213)
821-1462
FAX: (213) 821-1739 |
| Campus Address : |
University of Southern California
Computer Science Department
SAL 300
Los Angeles, CA 90089-0781
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