Usama Fayyad

Last updated
Usama M. Fayyad
Usama Fayyad pic.jpg
NationalityAmerican
CitizenshipU.S.
Alma mater University of Michigan
Known forExpertise in:
  • Data Science & discovery
  • Data Mining & Big Data
  • Machine Learning & Applied Data Science
Scientific career
Fields Computer Science Electrical Engineering
Institutions NASA JPL California Institute of Technology, University of Michigan, Ann Arbor, University of Southern California, UTS, HKPU and Monash University; and Adviser to Data Science Institute of Imperial College in London.

Usama M. Fayyad (born July, 1963) is an American-Jordanian data scientist and co-founder of KDD conferences and ACM SIGKDD association for Knowledge Discovery and Data Mining. [1] He is a speaker on Business Analytics, Data Mining, Data Science, and Big Data. He recently left his role as the Chief Data Officer at Barclays Bank. [2]

Contents

Early life

Fayyad was born to a Jordanian family in Carthage, Tunisia in July 1963, and lived his early childhood in Tunisia and other countries in the Middle East, Africa and Southern Europe. He graduated high school in Amman, Jordan from the National Orthodox School with GCE O-Levels. He spent most of his life in the U.S., having received his undergraduate and graduate education in Ann Arbor, MI at the University of Michigan. [3]

Career

Fayyad holds BSE's in both electrical and computer engineering (1984); MSE in computer science and engineering (1986); and M.Sc. in mathematics (1989). He also earned his Ph.D. in engineering from the University of Michigan, Ann Arbor (1991). Fayyad has published over 100 technical articles in the fields of data mining, Artificial Intelligence, machine learning, and databases. He holds over 30 patents and is a Fellow of both the AAAI (Association for Advancement of Artificial Intelligence) and the ACM (Association for Computing Machinery). Fayyad has edited two influential books on data mining [4] [5] and he launched and served as editor-in-chief of both the primary scientific journal in the field of data mining (Data Mining and Knowledge Discovery) and the primary newsletter in the technical community published by the ACM: SIGKDD Explorations. He continues to be active in the academic community, serving at chairman of ACM’s SIGKDD Executive Committee which runs the world’s premiere data science, big data, and data mining conferences: the KDD international annual conferences. [6] Fayyad is a recipient of the ACM SIGKDD Innovation Award (2007) [7] and Service Award (2003) [1]  – the only person to ever receive both awards.

Fayyad is an active angel investor in the U.S. and in the Middle East. He is also part of the U.S. Dept of State Delegation on Entrepreneurship in the Middle East. [8] Fayyad is an active speaker in both academic and business meetings, and regularly delivers keynotes on BigData, Predictive Analytics, Data Mining, Monetization Strategies, and Early-Stage Investment and Acceleration strategies for technology startups.

From 1989 to 1996 Fayyad held a leadership role at NASA's Jet Propulsion Laboratory (JPL), where his work in the analysis and exploration of Big Data in scientific applications (gathered from observatories, remote-sensing platforms and spacecraft) garnered him the top research excellence award that Caltech awards to JPL scientists – The Lew Allen Award for Excellence in Research, as well as a U.S. Government medal from NASA.[ citation needed ]

Prior to founding his first startup in 2000, Fayyad was at Microsoft for five years. At Microsoft he led the data mining and exploration group at Microsoft Research and headed the data mining products group for Microsoft's server division – especially SQL Server 2000 and Commerce Server 98. Fayyad’s work at Microsoft Research included the development of innovative data mining algorithms that scaled to very large databases and building up a new research program, as well as a new product line for Microsoft.[ citation needed ]

In early 2000, he co-founded and served as CEO of Audience Science (originally digiMine, Inc.), a data analysis and data mining company that built, operated and hosted data warehouses and web analytics for enterprises in online publishing, retail, manufacturing, telecommunications and financial services. He led the growth of the company from 3 employees to over 120 employees, raised over $45M in capital from top-tier venture firms. He stepped down as CEO and became chairman in June 2003 in order to start DMX Group. In 2003 Fayyad co-founded and led DMX Group, a data mining and data strategy consulting and technology company that specialized in Big Data Analytics projects for several Fortune 500 clients. DMX Group was acquired by Yahoo! in 2004.[ citation needed ]

2004–2008 Fayyad served as Yahoo!'s Chief Data Officer & Executive VP responsible for Yahoo!'s global data strategy, architecting Yahoo!'s data policies and systems, prioritizing data investments, and managing the company's data analytics and data processing infrastructure (which processed over 25 Terabytes of data per day). He was the industry’s first Chief Data Officer. Under his EVP role, Fayyad also founded and managed the Yahoo! Research Labs organization, which became the premier scientific research organization to develop the new sciences of the Internet, on-line marketing, Microeconomics, and algorithmic Advertising. At Yahoo! he applied Big Data techniques to content and advertising targeting and built the world’s largest group of data scientists – helping Yahoo! grow its revenues from user targeting by 20 times in 4 years.

In 2008, Fayyad founded Open Insights, LLC, technology and consulting firm based in Bellevue, WA. [9]

In 2014 he became chief data officer and group managing director at Barclays PLC, leaving the firm to pursue other interests in early March 2016; he is executive chairman of Oasis 500. He was the first person to ever hold the title chief data officer when Yahoo! Inc acquired his company in June 2004.[ citation needed ] Prior to Barclays he served as chairman, co-founder and CTO of ChoozOn Corporation —a mobile and web search engine service under the brand Blue Kangaroo.[ citation needed ]

KDD and SIGKDD

In 1995 Fayyad (with Ramasamy Uthurusamy) co-organized the First International Conference on Knowledge Discovery in Data (KDD-95), held at AAAI-1995 in Montreal, Canada. [10]

A good introductory article on Data Mining can be found in a special invited issue in AI Magazine. [11]

A year later, in 1996, Usama Fayyad launched the journal by Kluwer called Data Mining and Knowledge Discovery as its founding Editor-in-Chief. Later he started the SIGKDDD Newsletter SIGKDD Explorations. [12] The KDD International conference became the primary highest quality conference in Data Mining with an acceptance rate of research paper submissions below 18%. The Journal, Data Mining and Knowledge Discovery, is the primary research journal of the field.

Fayyad also organized the last KDD Workshop in 1994 (Seattle, WA) with Ramasamy (Sam) Uthurusamy (PDF file accessible at AAAI website) and the help of Gregory Piatetsky-Shapiro and transformed the workshops into an annual international conference on Data Mining. [13] [14]

For both his service to the KDD and Data Science fields and his technical contributions in these arenas Usama Fayyad is the only recipient of both ACM SIGKDD Service award [15] and the ACM SIGKDD Innovation Award. [16]

Fayyad was elected and served as a director of the executive committee of ACM SIGKDD when the SIGKDD group was formed as part of ACM to run the annual KDD conferences and help promote research in Data Mining, Data Science and Knowledge Discovery and Data Mining. Fayyad was elected director of SIGKDD for 2001-2009 and was elected as chairman of the executive committee of SIGKDD for 2009-2013. [17]

The annual ACM SIGKDD conference is the leading research conference on Knowledge Discovery and Data Mining, according to Microsoft Academic search [18] and Google Scholar. [19] The 21st ACM SIGKDD conference was held in Sydney, Australia August 2015. Fayyad served as Honorary Conference Chair of KDD-2015 and helped Prof. Longbing Cao and Geoff Webb in organizing this conference.

Personal life

Fayyad was born in Carthage, Tunisia and lived his early childhood in Tunisia and many countries in the Middle East, Africa and Southern Europe. He graduated high school in Amman, Jordan from the National Orthodox School with GCE O-Levels. He spent most of his life in the U.S., having received his undergraduate and graduate education in Ann Arbor, MI at the University of Michigan (Ph.D. in engineering in 1991), BSEs in both electrical and computer engineering (1984); MSE in computer science and engineering (1986); and M.Sc. in mathematics (1989) [20] and then lived in Pasadena, CA, Seattle, WA and Portola Valley, CA.

Fayyad has 4 children and now lives in Central London while he continues as chairman of Oasis500 in Jordan and is an investor in several companies in the U.S. and Europe.[ citation needed ]

Related Research Articles

Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.

<span class="mw-page-title-main">Weka (software)</span> Suite of machine learning software written in Java

Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

SIGKDD, representing the Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining, hosts an influential annual conference.

Jiawei Han is a Chinese-American computer scientist and writer. He currently holds the position of Michael Aiken Chair Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His research focuses on data mining, text mining, database systems, information networks, data mining from spatiotemporal data, Web data, and social/information network data.

<i>Data Mining and Knowledge Discovery</i> Peer-reviewed scientific journal

Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media. It was started in 1996 and launched in 1997 by Usama Fayyad as founding Editor-in-Chief by Kluwer Academic Publishers. The first Editorial provides a summary of why it was started.

AMiner is a free online service used to index, search, and mine big scientific data.

<span class="mw-page-title-main">Foster Provost</span>

Foster Provost is an American computer scientist, information systems researcher, and Professor of Data Science and Information Systems and Ira Rennert Professor of Entrepreneurship at New York University's Stern School of Business. He is also the Director for the Data Science and AI Initiative at Stern's Fubon Center for Technology, Business and Innovation. Professor Provost has a Bachelor of Science from Duquesne University in physics and mathematics and a Master of Science and Ph.D. in computer science from the University of Pittsburgh.

Jie Tang is a full-time professor at the Department of Computer Science of Tsinghua University. He received a PhD in computer science from the same university in 2006. He is known for building the academic social network search system AMiner, which was launched in March 2006 and now has attracted 2,766,356 independent IP accesses from 220 countries. His research interests include social networks and data mining.

Social media mining is the process of obtaining big data from user-generated content on social media sites and mobile apps in order to extract actionable patterns, form conclusions about users, and act upon the information, often for the purpose of advertising to users or conducting research. The term is an analogy to the resource extraction process of mining for rare minerals. Resource extraction mining requires mining companies to shift through vast quantities of raw ore to find the precious minerals; likewise, social media mining requires human data analysts and automated software programs to shift through massive amounts of raw social media data in order to discern patterns and trends relating to social media usage, online behaviours, sharing of content, connections between individuals, online buying behaviour, and more. These patterns and trends are of interest to companies, governments and not-for-profit organizations, as these organizations can use these patterns and trends to design their strategies or introduce new programs, new products, processes or services.

<span class="mw-page-title-main">Gregory Piatetsky-Shapiro</span> American computer scientist

Gregory I. Piatetsky-Shapiro is a data scientist and the co-founder of the KDD conferences, and co-founder and past chair of the Association for Computing Machinery SIGKDD group for Knowledge Discovery, Data Mining and Data Science. He is the founder and president of KDnuggets, a discussion and learning website for Business Analytics, Data Mining and Data Science.

Domain driven data mining is a data mining methodology for discovering actionable knowledge and deliver actionable insights from complex data and behaviors in a complex environment. It studies the corresponding foundations, frameworks, algorithms, models, architectures, and evaluation systems for actionable knowledge discovery.

Jianchang (JC) Mao is a Chinese-American computer scientist and Vice President, Google Assistant Engineering at Google. His research spans artificial intelligence, machine learning, computational advertising, data mining, and information retrieval. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012 for his contributions to pattern recognition, search, content analysis, and computational advertising.

Arthur Zimek is a professor in data mining, data science and machine learning at the University of Southern Denmark in Odense, Denmark.

<span class="mw-page-title-main">Gautam Das (computer scientist)</span> Indian computer scientist

Gautam Das is a computer scientist in the field of databases research. He is an ACM Fellow and IEEE Fellow.

<span class="mw-page-title-main">Martin Ester</span>

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<span class="mw-page-title-main">Hui Xiong</span> Chinese data scientist

Hui Xiong is a data scientist. He is a distinguished professor at Rutgers University and a distinguished guest professor at the University of Science and Technology of China (USTC).

Wei Wang is a Chinese-born American computer scientist. She is the Leonard Kleinrock Chair Professor in Computer Science and Computational Medicine at University of California, Los Angeles and the director of the Scalable Analytics Institute (ScAi). Her research specializes in big data analytics and modeling, database systems, natural language processing, bioinformatics and computational biology, and computational medicine.

Jiliang Tang is a Chinese-born computer scientist and associate professor at Michigan State University in the Computer Science and Engineering Department, where he is the director of the Data Science and Engineering (DSE) Lab. His research expertise is in data mining and machine learning.

Himabindu "Hima" Lakkaraju is an Indian-American computer scientist who works on machine learning, artificial intelligence, algorithmic bias, and AI accountability. She is currently an Assistant Professor at the Harvard Business School and is also affiliated with the Department of Computer Science at Harvard University. Lakkaraju is known for her work on explainable machine learning. More broadly, her research focuses on developing machine learning models and algorithms that are interpretable, transparent, fair, and reliable. She also investigates the practical and ethical implications of deploying machine learning models in domains involving high-stakes decisions such as healthcare, criminal justice, business, and education. Lakkaraju was named as one of the world's top Innovators Under 35 by both Vanity Fair and the MIT Technology Review.

References

  1. 1 2 Fayyad, Dr. Usama. "U.M. Fayyad Recipient of 2003 SIGKDD Service Award". SIGKDD Service Award. ACM SIGKDD . Retrieved 1 December 2010.
  2. ↑ Archived at Ghostarchive and the Wayback Machine : Data Science Institute distinguished speaker - Dr Usama Fayyad (CDO of Barclays Bank). YouTube .
  3. ↑ Fayyad, Usama. "Michigan Engineering". University of Michigan College of Engineering. University of Michigan. Retrieved 1 December 2010.
  4. ↑ Fayyad, Usama (1996). Advances in Knowledge Discovery and Data Mining (1 ed.). Menlo Park, CA: AAAI Press. ISBN   0262560976 . Retrieved 2 December 2010. Usama Fayyad.
  5. ↑ Fayyad, Usama (2002). Information Visualization in Data Mining and Knowledge Discovery (1 ed.). San Francisco, CA: Morgan Kaufmann Publishers. ISBN   1558606890 . Retrieved 21 December 2010.
  6. ↑ Piatetsky-Shapiro, Gregory (October 2005). "Interview with Usama Fayyad, Yahoo Chief Data Officer". Sig KDD newsletter.
  7. ↑ Fayyad, Usama. "SIGKDD 2007 Innovation Award". SIGKDD.org. SIGKDD . Retrieved 2 December 2014.
  8. ↑ Fayyad, Usama (14 Nov 2012). "U.S. Department of State Entrepreneurship Delegation". No. PRN: 2012/1796. U.S. Department of State. Reuters. Retrieved 14 Nov 2012.
  9. ↑ "Interview Dr Usama Fayyad Founder Open Insights LLC". DECISION STATS. 11 August 2009. Retrieved 2016-01-14.
  10. ↑ Conference Program Chair, KDD-1995. "First International Conference on Data Mining and Knowledge Discovery". KDD-1995 First International Conference by AAAI. ACM SIGKDD. Retrieved 25 December 2010.{{cite web}}: CS1 maint: numeric names: authors list (link)
  11. ↑ Fayyad, Usama M.; Piatetsky-Shapiro, G.; Smyth, P.J. (Fall 1996). "From Data Mining to Knowledge Discovery in Databases". AI Magazine. 17 (3): 37–54. ISSN   0738-4602 . Retrieved 27 December 2015.
  12. ↑ Fayyad, Usama (15 June 1999). "First Editorial by Editor-in-Chief". SIGKDD Explorations. 13 (1): 102. doi:10.1145/2207243.2207269. S2CID   13314420 . Retrieved 27 December 2010.
  13. ↑ 3rd AAAI Workshop on Knowledge Discovery in Databases, KDD-1994. "The 3rd Workshop on Knowledge Discovery in Databases" (PDF). AAAI KDD-1994 Workshop. AAAI . Retrieved 2015-09-22.{{cite web}}: CS1 maint: numeric names: authors list (link)
  14. ↑ Fayyad, Usama; Uthurusamy, Ramasamy (15 July 1994). Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, Seattle, Washington, July 1994. Technical Report WS-94-03 (PDF) (1 ed.). Seattle, WA: AAAI Press. ISBN   0-929280-73-3 . Retrieved 27 December 2015.
  15. ↑ Fayyad, Dr. Usama. "U.M. Fayyad Recipient of 2003 SIGKDD Service Award". SIGKDD Service Award. ACM SIGKDD . Retrieved 1 December 2010.
  16. ↑ Fayyad, Usama. "SIGKDD 2007 Innovation Award". SIGKDD.org. SIGKDD . Retrieved 2 December 2014.
  17. ↑ About SIGKDD
  18. ↑ "Top conferences in data mining". Microsoft Academic Search. Archived from the original on 2015-09-17. Retrieved 2015-09-22.
  19. ↑ "Data Mining & Analysis". Google Scholar . Retrieved 2015-09-22. 2. ACM SIGKDD International Conference on Knowledge discovery and data mining (Ranked #1 is a journal, not a conference.)
  20. ↑ "Usama M. Fayyad". Leadership Advisory Board. University of Michigan. Retrieved 20 October 2019.
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