Reza Zadeh
{{Infobox scientist
| name = Reza Zadeh
| image =
| caption = King Charles_III, Chris Hadfield, and Reza Zadeh launch the Astra Carta at Buckingham Palace.
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| citizenship = American
| nationality = American
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| field = Computer Science
| work_institution = Stanford University
| alma_mater = Stanford University (Ph.D.)
Carnegie Mellon University (M.Sc.)
University of Waterloo (B.S.)
| thesis_title = Large Scale Graph Completion
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| doctoral_advisor = Gunnar Carlsson
| known_for = Machine Learning
Recommender Systems
Computer Vision
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| website = {{URL|https://stanford.edu/~rezab}}
}}
Reza Zadeh ({{langx|fa|رضا زاده}}) is an American computer scientist and technology executive working on machine learning. He is adjunct professor at Stanford University, CEO of Matroid,{{cite web|url=http://icme.stanford.edu/people/faculty-and-instructors |title=Institute for Computational and Mathematical Engineering Faculty |publisher=Stanford University |access-date=14 May 2016 |url-status=unfit |archive-url=https://web.archive.org/web/20160514015722/http://icme.stanford.edu/people/faculty-and-instructors |archive-date=May 14, 2016 }}{{Cite news|url=https://www.wsj.com/articles/a-lifes-ambition-matroid-launches-1490614201|title=A Life's Ambition, Matroid Launches|last=Martin|first=Scott|date=2017-03-27|work=Wall Street Journal|access-date=2017-04-14|issn=0099-9660}} and a founding team member at Databricks.{{Cite web|url=http://www.creativedestructionlab.com/#!rezazadeh/c1tyb|title=University of Toronto - Creative Destruction Lab|website=University of Toronto - Creative Destruction Lab|access-date=2016-06-15}} His work focuses on machine learning, distributed computing, and discrete applied mathematics.{{cite web|last1=Beyer|first1=David|title=On the evolution of machine learning|url=https://www.oreilly.com/ideas/on-the-evolution-of-machine-learning|website=O'Reilly Media|date=3 May 2015}}{{cite web|last1=Simonite|first1=Tom|title=AI Supercomputer Built by Tapping Data Warehouses for Their Idle Computing Power|url=https://www.technologyreview.com/s/537831/ai-supercomputer-built-by-tapping-data-warehouses-for-their-idle-computing-power/|website=MIT Technology Review}}{{cite book|last1=Beyer|first1=David|title=The Future of Machine Intelligence: Perspectives from Leading Practitioners|date=February 2016|publisher=O'Reilly Media|url=http://www.oreilly.com/data/free/files/future-of-machine-intelligence.pdf}} His awards include a KDD Best Paper Award{{Cite web|url=http://www.kdd.org/awards/view/2016-sigkdd-best-paper-award-winners|title=SIGKDD Awards : 2016 SIGKDD Best Paper Award Winners|website=www.kdd.org|access-date=2016-07-29}} and the Gene Golub Outstanding Thesis Award at Stanford.
Work
= Computer Vision =
The Princeton University ModelNet challenge is an object recognition competition to classify 3D Computer-aided design models into object categories. In 2016, Matroid was a leader in this competition and the relevant neural networks were integrated into the Matroid product.{{Cite journal|last1=Hegde|first1=Vishakh|last2=Zadeh|first2=Reza|date=2016-11-26|title=FusionNet: 3D Object Classification Using Multiple Data Representations|url=http://3ddl.cs.princeton.edu/2016/papers/Hegde_Zadeh.pdf|journal=Princeton ModelNet|arxiv=1607.05695|via=Princeton University}}
In a collaboration with his own doctor at Stanford hospital, Reza's research team created a neural network to automatically detect Glaucoma in 3D optical coherence tomography images of the eyeball. The net surpassed human doctor performance and is providing diagnostic hints at the hospital.{{cite arXiv|last1=Noury|first1=Erfan|last2=Mannil|first2=Suria S.|last3=Chang|first3=Robert T.|last4=Ran|first4=An Ran|last5=Cheung|first5=Carol Y.|last6=Thapa|first6=Suman S.|last7=Rao|first7=Harsha L.|last8=Dasari|first8=Srilakshmi|last9=Riyazuddin|first9=Mohammed|last10=Nagaraj|first10=Sriharsha|last11=Zadeh|first11=Reza|date=2019-10-14|title=Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans|class=eess.IV|eprint=1910.06302}}
In 2016, Reza founded Matroid, inc to commercialize computer vision research by building a product for industries such as manufacturing and industrial sensors. Matroid raised $13.5 million from New Enterprise Associates, Intel, and others.
= Distributed Machine Learning =
Reza is a coauthor of Apache Spark, in particular its Machine Learning library, MLlib.{{Cite journal |last1=Meng |first1=Xiangrui |last2=Bradley |first2=Joseph |last3=Yavuz |first3=Burak |last4=Sparks |first4=Evan |last5=Venkataraman |first5=Shivaram |last6=Liu |first6=Davies |last7=Freeman |first7=Jeremy |last8=Tsai |first8=D. B. |last9=Amde |first9=Manish |last10=Owen |first10=Sean |last11=Xin |first11=Doris |last12=Xin |first12=Reynold |last13=Franklin |first13=Michael J. |last14=Zadeh |first14=Reza |last15=Zaharia |first15=Matei |display-authors=4 |year=2016 |title=MLlib: Machine Learning in Apache Spark |url=https://www.jmlr.org/papers/volume17/15-237/15-237.pdf |journal=Journal of Machine Learning Research |volume=17 |first16=Ameet |last16=Talwalkar|arxiv=1505.06807 }}{{Cite web|title=Matrix Computations and Optimization in Apache Spark|url=http://www.kdd.org/kdd2016/subtopic/view/matrix-computations-and-optimization-in-apache-spark|access-date=2016-06-15|website=www.kdd.org}} Through open source, Reza's work has been incorporated into industrial and academic cluster computing environments.{{Cite web|title=Machine Learning using Big Data: How Apache Spark Can Help {{!}} Biomedical Computation Review|url=http://biomedicalcomputationreview.org/content/machine-learning-using-big-data-how-apache-spark-can-help|access-date=2016-06-22|website=biomedicalcomputationreview.org}} He was a founding team member at Databricks, the company commercializing Spark.
= Recommender Systems =
Reza created the machine learning algorithm behind Twitter's Who-To-Follow projectPankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Bosagh Zadeh [http://dl.acm.org/citation.cfm?id=2488433 WTF:The who-to-follow system at Twitter], Proceedings of the 22nd international conference on World Wide Web and subsequently released it to open source.{{cite web|last1=Harris|first1=Derrick|title=Gigaom|url=https://gigaom.com/2014/09/24/twitter-open-sourced-a-recommendation-algorithm-for-massive-datasets/|archive-url=https://web.archive.org/web/20141016200705/https://gigaom.com/2014/09/24/twitter-open-sourced-a-recommendation-algorithm-for-massive-datasets/|url-status=dead|archive-date=October 16, 2014}} During that time he also led research tracking earthquake damage via machine learning, gaining wide media attention as an example of real-time social information flow.{{Cite web|last=Shu|first=Catherine|title=Tweets Can Guide Emergency Responders Almost Immediately After An Earthquake|url=https://techcrunch.com/2014/05/02/tweets-can-guide-emergency-responders-almost-immediately-after-an-earthquake/|access-date=2016-06-15|website=TechCrunch|date=2 May 2014 }}{{Cite web|last=Wagner|first=Kurt|title=Can Studying Tweets Lead to Faster Earthquake Recovery?|url=http://mashable.com/2014/05/02/twitter-earthquake-recovery/|access-date=2016-06-15|website=Mashable|date=2 May 2014 }}{{Cite web|title=Stanford turns to Twitter to track earthquakes|url=https://www.engadget.com/2014/05/02/using-tweets-for-earthquake-models/|access-date=2016-06-15|website=Engadget|date=2 May 2014 }}
= AI Responsibility =
During the G7 forum in Italy, Pope Francis stressed that humanity is in great danger, due to the wars that are taking place such as the war in Ukraine, in Gaza, the excessive use of artificial intelligence that is putting at risk to jobs in the world, which made him the first pontiff in history to participate in the maximum meeting of leaders of the largest economies in the world.{{cite web |date=June 14, 2024 |title=Pope Francis meets with world leaders at G7 summit |url=https://www.vaticannews.va/en/pope/news/2024-06/pope-world-leaders-g7-bilateral-meetings-zelensky-biden.html |access-date=June 15, 2024 |publisher=Vatican News.com |language=EN}} Pope Francis met with World Leaders during June 14-15 at the Vatican, during which Reza and the pope discussed responsible solutions for deploying Artificial Intelligence.{{Cite web |date=2024-06-15 |title=Pope to business leaders: Philanthropy is not enough - Vatican News |url=https://www.vaticannews.va/en/pope/news/2024-06/pope-ceo-sustainable-market-initiative-young-poor-environment.html |access-date=2024-07-21 |website=www.vaticannews.va |language=en}}{{Cite web |last=Zeller |first=Jeff |date=2024-06-15 |title=Matroid at G7 Summit Sidelines with His Holiness Pope Francis |url=https://www.matroid.com/matroid-ceo-meets-pope-francis/ |access-date=2024-07-21 |website=Matroid |language=en-US}}{{Cite web |date=2024-06-14 |title=Pope to G7: AI is 'neither objective nor neutral' - Vatican News |url=https://www.vaticannews.va/en/pope/news/2024-06/pope-g7-artifical-intelligence-objective-neutral.html |access-date=2024-07-21 |website=www.vaticannews.va |language=en}}
Personal
Reza was born during the Iran–Iraq War in the under-siege city of Ahvaz. From there, his family emigrated to London, England where Reza grew up until age 17, after which he emigrated to Toronto, Canada, obtaining a degree from University of Waterloo. He frequently visited the US at age 18 to work on the Google Research team, and later moved to the US for a master's degree at Carnegie Mellon University and PhD at Stanford, all in Computer Science and Mathematics.
References
{{reflist|30em}}
External links
- [http://www.xuwenhao.com/2012/11/20/dimension-independent-similarity-a-great-example-of-tech-blog/ Chinese translation of his PhD Dissertation] by Xu Wenhao, November 2012
- [https://stanford.edu/~rezab Website] at Stanford
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Category:Year of birth missing (living people)
Category:Stanford University alumni
Category:University of Waterloo alumni