Rajeev Motwani氏

Rajeev Motwani

Rajeev Motwani氏 提供:スタンフォード大学

Rajeev Motwani氏
提供:スタンフォード大学

 2009年6月5日、グーグル創業者に影響を与えた「ラジーブ・モトワニ(Rajeev Motwani)氏」が亡くなった。

 Rajeev Motwani氏はスタンフォード大学のコンピュータ科学の教授であり、シリコンバレーのエンジェル投資家としても知られている人でもあった。

 Motwani氏はSequoia Capitalの特別顧問を務めたほか、PayPal、Googleなどの企業にも投資した。しかし最もよく知られているのは、Googleの共同設立者であるLarry Page氏とSergey Brin氏も含むスタンフォード大学の多くの大学院生らのメンターとしてだろう。

 Brin氏は5日、自身のブログに「正式にいえば、Rajeev氏は私のアドバイザーではないが、私の研究、教育、それに職業開発に大きな影響を与えた人だ」と記している。「Rajeev氏はすばらしいコンピュータ科学者であるのと同時に、優しく、親しみやすい人物だったし、彼の部屋のドアはいつも開かれていた。私の人生や仕事にどんなことがあっても、Rajeev氏のオフィスに立ち寄れば、やさしい微笑みとともに興味深い話をすることができた」(Brin氏)

 Motwani氏はインドのニューデリー出身で、1988年にカリフォルニア大学バークレー校からコンピュータ科学で博士号を授与された。同氏のコンピュータ科学分野における研究領域は広範囲にわたっており、データベース、データマイニング、データプライバシー、ウェブ検索および情報検索、ロボット工学、コンピュータを活用した新薬開発、理論計算機科学に及ぶ。

 Motwani氏は「Randomized Algorithms」と2001年に出版された学部生向けの教科書の著者である。また同氏は理論計算機科学分野で卓越した業績を残した人物に送られるゲーデル賞を2001年に受賞したのをはじめ、数々の賞を受賞している。

 Brin氏はブログで「今日、われわれが利用する技術の多くが、Rajeev Motwani氏の影響を受けている」と記している。

 Motwani氏は妻と子どもたちを残して世を去った。享年45歳の若さであった。

(この記事は海外CBS Interactive出典を日本語に変換したものです。)

Biographical Information

Biographical Information

Former Professor and Director of Graduate Studies

Database Group/InfoLab, and Foundations Group
Computer Science Department
Stanford University

Ph.D. 1988 (Computer Science, U.C. Berkeley)
B.Tech. 1983 (Computer Science, IIT Kanpur)

 

Research Interests

Databases, data mining, information retrieval, and web searching. Privacy and security, particularly in the context of databases and information retrieval. Optimization and scheduling problems, particularly for applications in computer systems, compilers, and databases. Computational and combinatorial geometry with applications to robotics and vision. Computational biology and automated drug design. Design and analysis of algorithms with emphasis on approximations, online computations, and randomized algorithms, as well as related complexity theory.

Biographical Information

Rajeev Motwani is a Professor of Computer Science at Stanford University, where he also serves as the Director of Graduate Studies. He obtained his Ph.D. in Computer Science from Berkeley in 1988. His research has spanned a diverse set of areas in computer science, including databases, data mining, and data privacy, web search and information retrieval, robotics, computational drug design, and theoretical computer science. He has written two books — Randomized Algorithms published by Cambridge University Press in 1995, and an undergraduate textbook published by Addison-Wesley in 2001. Motwani has received the Godel Prize, the Okawa Foundation Research Award, the Arthur Sloan Research Fellowship, the National Young Investigator Award from the National Science Foundation, the Distinguished Alumnus Award from IIT Kanpur, the Bergmann Memorial Award from the US-Israel Binational Science Foundation, and an IBM Faculty Award. He is a Fellow of the ACM and of the Institute of Combinatorics and serves on the editorial boards of SIAM Journal on Computing, Journal of Computer and System Sciences, ACM Transactions on Knowledge Discovery from Data and IEEE Transactions on Knowledge and Data Engineering. Motwani serves on various industry boards and advisory boards, including Adchemy, Anchor Intelligence, BASES, Baynote, DotEdu Ventures, Flarion, Google, Mimosa Systems, Neopath Networks, Revenue Science, Stanford Student Enterprises Ventures, and Vuclip. He is a charter member of TIE (The IndUS Entrepreneurs) and on the board of BASES (Business Association of Stanford Engineering Students).

Rajeev Motwani’s Books

Rajeev Motwani's Books

 Book Chapters

 

  • A Survey of Query Auditing Techniques for Data Privacy., Privacy-Preserving Data Mining: Models and Algorithms (edited by Charu Aggarwal and Philip S. Yu), Springer, 2008. (with S. Nabar, K. Kenthapadi, and N. Mishra)
  • Load Shedding in Data Stream Systems., Data Streams: Models and Algorithms (edited by Charu Aggarwal), Springer, 2007. (with B. Babcock and M. Datar)
  • The Sliding Window Computation Model and Results., Data Streams: Models and Algorithms (edited by Charu Aggarwal), Springer, 2007. (with M. Datar)
  • Asymptotic Polynomial Time Approximation Schemes., Handbook of Approximation Algorithms and Metaheuristics (edited by Teofilo F. Gonzalez), Chapman&Hall/CRC, 2007. (with L. O’Callaghan and A. Zhu)
  • Probabilistic Algorithms, Handbook of Discrete and Combinatorial Mathematics (edited by Ken Rosen), CRC Press, 1999. (with P. Raghavan)
  • An Overview of Randomized Algorithms. (with P. Raghavan) Probabilistic Methods in Algorithmic Discrete Mathematics, Ed. Habib, M, McDiarmid, C., Ramirez-Alfonsin, J., and Reed, B., (Springer, 1998).
  • Coloring Away Communication in Parallel Query Optimization. (with W. Hasan) Readings in Database Systems, 3rd Edition, Ed. Stonebraker, M., and Hellerstein, J., (Morgan-Kaufmann Publishers, 1998).
  • Randomized Algorithms, Algorithms and Theory of Computation Handbook (edited by Mikhail Atallah), CRC Press, 1998. (with P. Raghavan)
  • Randomization in Approximation Algorithms, Approximation Algorithms (edited by Dorit Hochbaum), PWS Publishers, 1995. (with J. Naor and P. Raghavan)
  • Randomized Algorithms, The Computer Science and Engineering Handbook (edited by A. Tucker), CRC Press, 1996. (with P. Raghavan)

 

 Books

 

  • Approximation Algorithms, Book in preparation. (Preliminary Version: Techincal Report No. STAN-CS-92-1435, Department of Computer Science, Stanford University.)
  • Introduction to Automata and Language Theory, Addison-Wesley, 2000. (with J.E. Hopcroft and J.D. Ullman)
    See also the Book Support Web Page.
    
    0321455363
    
  • Randomized Algorithms, Cambridge University Press, 1995. (with P. Raghavan)
    
    mybook
  • Database Theory - ICDT 2003, Springer-Verlag, 2003. (with D. Calvanese and M. Lenzerini)
    
    icdt
  • SIAM Data Mining, SIAM,2002. (with R.Grossman,J.Han,V.Kumar,and H.Mannila)
    
    sdm2002
  • Foundations of Computer Science, IEEE Computer Society, 1998. 

 

(出典:http://theory.stanford.edu/~rajeev/books.html)

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