Project Data

Jafar Adibi

**** ********* ***. #*** *** Angeles, CA 90025

Tel: 310-***-****, Cell: 310-***-****

*****.*****@*****.***

Highlights More than 10 years experience in data mining and fraud

detection

Fast paced startup entrepreneurship and Big4 experience

Experience in transferring ideas from concept to viable

products

Solid technical background in social network analysis

Hands on experience in project planning, management,

setting technical and business directions and execution

Excellent leadership, negotiation and client

relationship building skill

Experience

Project Lead Center for Advanced Research, PricewaterhouseCoopers

7/2009 - Present (PWC) San Jose, CA

Research Manager Led team of researchers, developers, usability and

9/2007 - 9/2009 subject matter experts to develop advanced tools and

technologies that solve difficult PwC practice problems

and transfer the discovered knowledge to business

actionable items.

Responsible for project management, setting technical

directions, developing business cases and presenting

results to firm senior leadership.

Leveraged techniques from data mining, knowledge

representation, social network analysis, case-based

reasoning and feature engineering to develop PwC

internal intelligence systems.

Hands on experience in forecasting, statistical

analysis and regression, classification, decision trees

and Bayesian networks techniques.

Led the first firm wide socio-collaborative project for

client intelligence and competitive intelligence by

real-time analysis of teams' interaction and

conversation about events, clients and markets.

Led research on PwC sales analytics and business

intelligence project, a recommender system that

determines and predicts issues companies are facing by

mining internal and external data sources and allows

PwC to offer services proactively.

Led research and evaluation of knowledge acquisition,

utilization and maintenance processes for a

people-centric knowledge management application.

Served as senior consultant on health care data

analysis project. Guided analytics staff through the

phases of the data mining life cycle including problem

definition, algorithm design, and evaluation measures.

Applied social network techniques for fraud detection

in Medicaid data, mortality rate and patient transfer

prediction, patient case management and patient

Research readmissions prediction.

Scientist Served as consultant in various PwC projects related to

11/2005 - 8/2007 social network and link discovery.

USC Information Sciences Institute, Marina del Rey, CA

Research

Associate

6/2002 - 11/2005 Designed and developed novel social network technique

to model, mine and discover new attributes, hidden

relations and groups with application in fraud

detection, counter terrorism and e-discovery.

Studied failure and success in blog space, detecting

insiders and outsiders and hidden groups in discussion

boards in blogsphere.

Key member of Center for Knowledge Integration and

Discovery funded by Department of Homeland Security

Architect of award winning Kojak Group Finder, a novel

link discovery system to discover relations between

seemingly unrelated individuals & detects fraudulent

behaviors.

Discovered fraud in Enron social network from Enron

email dataset.

Designed and developed novel method to find the most

important nodes in a social network graph via graph

Co-Founder entropy.

6/2005-6/2007 Worked on new method to measure the uncertainty in

graphs in and specifically in link discovery

techniques.

Research on Processing-In-Memory (PIM) technology for

link discovery.

Clenova LLC, Santa Ana, CA

Co-Founder, VP Co-Founder of the next generation search engine to

Engineering discover hidden relations among seemingly unrelated

1/2000 - 5/20002 people, organization and events.

Led the research team in algorithm design and

development.

A flash demo of product is available at:

http://faculty.washington.edu/paymana/flash

Zaias Technologies, Tarzana, CA

Co-Founder of ZAIAS Technologies (U4cast) pioneering in

event driven data mining and knowledge discovery

technologies and applications.

Led design and development of collective intelligence

technologies at early-stage technology start-up in data

mining and valuation for financial markets (including

dynamic pricing markets such as eBay).

Introduced modeling user behavior through user's

expertise to discover fair value in a dynamic pricing

market.

Managed the full cycle development of successful

prototypes.

Prepared project schedules and assigned resources for

design, unit testing, integration and validation

testing.

Prepared business plan, marketing plan and presented

the various aspects of technology to venture capitals

and investors.

Prepared partnership proposals for potential strategic

partners and involved in customers negotiation

Research USC Information Science Institute, Marina del Rey, CA

Assistant

9/1995 - 8/2002 Designed and developed novel data mining methods to

model, mine and to discover hidden patterns in

sequential data such customer purchase pattern data and

patient medical records.

Introduced self-similar hidden Markov modeling.

Designed and developed knowledge discovery system from

user web page navigation with emphasis on cookie free

model for user classification and dynamic web

construction

Experience on mining Biotech data including prediction

of Molecular Bioactivity for Drug Design, Binding to

Thrombin and Prediction of Gene/Protein Function.

Member of USC Award Winner & World Champion Robotics

team.

Designed and developed a decision support system for

Intensive Care Unit (ICU) patients at Los Angeles

County and USC hospitals.

Application of Data Mining in e/health care and

medicine.

Education

2002 Ph.D., Computer Science, USC

1996 M.S., Computer Science, USC

1988 B.S., Electrical Engineering, Isfahan University of

Technology

Awards and Honors

2009 Ranked Second INFORMS Contest

2004 Ranked First DARPA Group Detection Contest

2002 Young Scientist Award APSIH

2000 Certification Award American Medical Informatics

Association

1998 Leadership Award University of Southern California

1998 Meritorious Service Award Information Sciences

Institute, (USC)

1997 Gold & Bronze Medal RoboCup 97 (Real Robots &

Simulation)

1996 Silver Medal AAAI (mobile robot competition)

Patents pending

With R. Sadri, et Information retrieval using conjunctive search and link

al discover

with C. Zaniolo, Fast search for sequential patterns in sequential

et al databases

with A. Zarkesh, Methods for collective valuations and predictions for

et al market items

Professional Activities

Program Committee Link Analysis, Counterterrorism and Security, Dynamics

and Organizer and Statistics of Large Networks, Link Discovery:

Issues, Approaches and Applications,

Paper Reviewer KDD, KDD workshops, IROS, International KDD Journal,

Intelligent Data Analysis, American Medical Informatics

Association

Invited Talks PwC, The Institute of World Politics, UCLA, USC, SIAM,

AMIA, Rutgers, etc.

Media Presence My work is appeared in journals, newspapers and online

media venues including CNN, Reuters, BBC, The New York

Times, Washington Post, Los Angeles Times, USA Today,

ABC News, CBS, etc.

Grants and Co-author for several grants funded by governmental

Proposals agencies such as DARPA, NSA, NSF, etc.

Selected More than 40 papers in social network analysis, social

Publications media, data mining, database, robotics, medical

Informatics and artificial intelligence.

With Jitesh Discovering Important Nodes via Graph Entropy: The case

Shetty of Enron Email Dataset, LinkKDD-2005, in conjunction

with KDD2005

With H. The KOJAK Group Finder: Connecting the Dots via

Chalupsky, E. Integrated Knowledge-Based and Statistical Reasoning,

Melz, E. and A. IAAI 2004.

Valente

With C. Zaniolo, Expressing and Optimizing Sequence Queries in Database

A Zarkesh, and J. Systems, ACM Transactions on Database Systems, vol.

Adibi 29, no. 2, June 2004.

With W. Shen Self Similar Layered Hidden Markov Model, 12th European

Conference on Machine Learning (ECML'01) and

5thPKDD'01.

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