Professor Of Computer Science Research Articles

You Can Teach an Old Magician New Tricks

John P. Bonomo (bonomojp@westminster.edu) is an associate professor of computer science at Westminster College. He holds a B.S. and M.S. in physics from Catholic University and a Ph.D. in computer science from Purdue University. He has served as a judge and problem contributor for the International Collegiate Programming Contest several times, most recently in 2008. His interests outside of academia focus primarily on his wife, his three children, bridge, and a plethora of Japanese puzzles, including Heyawake, Nurikabe, and Fillomino. He is the current holder of the Geek Professor of the Year award at Westminster, much to the chagrin of his children.

An Interview with Terry Winograd: Convergence, Ambient Technology, and Success in Innovation

Terry Winograd is Professor of Computer Science at Stanford University, where he directs the program on human-computer interaction. His SHRDLU program done at the MIT AI Lab was one of the early explorations in natural language understanding by computers. His book with Fernando Flores, Understanding Computers and Cognition, critiqued the underlying assumptions of AI and much of computer system design, and led to completely new directions in those fields. He was a founder and national president of Computer Professionals for Responsibility. His remarks, made in 2002, are as relevant today as they were when first spoken.

An Interview with Terry Winograd

Terry Winograd is Professor of Computer Science at Stanford University, where he directs the program on human-computer interaction. His SHRDLU program done at the MIT AI Lab was one of the early explorations in natural language understanding by computers. His book with Fernando Flores, Understanding Computers and Cognition, critiqued the underlying assumptions of AI and much of computer system design, and led to completely new directions in those fields. He was a founder and national president of Computer Professionals for Responsibility. His remarks, made in 2002, are as relevant today as they were when first spoken.

A World Without Public Schools

Yearbook of the National Society for the Study of EducationVolume 107, Issue 2 p. 177-180 A World Without Public Schools David Gelernter, David Gelernter 1Yale UniversitySearch for more papers by this author David Gelernter, David Gelernter 1Yale UniversitySearch for more papers by this author First published: 09 December 2008 https://doi.org/10.1111/j.1744-7984.2008.00194_1.x David Gelernter is a national fellow at the American Enterprise Institute, professor of computer science at Yale University, chief scientist at Mirror Worlds Technologies, contributing editor of The Weekly Standard, and a member of the National Council of the Arts. The unabridged version of this essay was posted on the American Enterprise Institute's website on May 29, 2007. It also appeared in The Weekly Standard on June 4, 2007 and is reprinted here with permission of The Weekly Standard. Read the full textAboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Volume107, Issue2October 2008Pages 177-180 RelatedInformation

Designing a Table Both Swinging and Stable

Greg Frederickson (gnf@cs.purdue.edu) received an A.B. in economics from Harvard University and an M.S. and Ph.D. in computer science from the University of Maryland. He is a professor of computer science at Purdue University, with research interests in the realm of the design and analysis of algorithms. For fun he enjoys cutting up-?geometric figures, that is?and then hinging the pieces together so that they can swing, or twist, or flap, as they move from one figure to the other.

Interview with Wendy Hall

Wendy Hall is Professor of Computer Science at the University of Southampton, UK, and was Head of the School of Electronics and Computer Science from 2002 to 2007. Her team invented the ground-breaking Microcosm hypermedia system, which pre-dated the Web, and for which a patent was granted. Her research interests now include the development of web technologies (particularly the Semantic Web), hypermedia systems and link services, advanced knowledge technologies, digital libraries, decentralized information systems, and human computer interaction. She has published over 350 papers in areas such as hypermedia, multimedia, digital libraries, and distributed information systems. She is founding director, along with Professor Sir Tim Berners-Lee, Professor Nigel Shadbolt, and Daniel J. Weitzner, of the Web Science Research Initiative, which was launched in 2006 as a long-term research collaboration between the University of Southampton and MIT. She holds a number of prestigious leadership roles. She is currently senior Vice President of the Royal Academy of Engineering, and was President of the British Computer Society (2003-2004). She is a member of the Institute of Engineering and Technology (IET) Council and Publications Board and also Vice-President of the Association for Computing Machinery (ACM). She is a member of IW3C2 and was executive chair of the 15th International WWW conference in Edinburgh in May 2006. In April 2007 she joined the Board of the British Library.

Toward molecular programming with DNA

Biological organisms are beautiful examples of programming. The program and data are stored in biological molecules such as DNA, RNA, and proteins; the algorithms are carried out by molecular and biochemical processes; and the end result is the creation and function of an organism. If we understood how to program molecular systems, what could we create? Lifelike technologies whose basic operations are chemical reactions? The fields of chemistry, physics, biology, and computer science are converging as we begin to synthesize molecules, molecular machines, and molecular systems of ever increasing complexity, leading to subdisciplines such as DNA nanotechnology, DNA computing, and synthetic biology. Having demonstrated simple devices and systems -- self-assembled structures, molecular motors, chemical logic gates -- researchers are now turning to the question of how to create large-scale integrated systems. To do so, we must learn how to manage complexity: how to efficiently specify the structure and behavior of intricate molecular systems, how to compile such specifications down to the design of molecules to be synthesized in the lab, and how to ensure that such systems function robustly. These issues will be illustrated for chemical logic circuits based on cascades of DNA hybridization reactions. Bio Erik Winfree is an Associate Professor in Computer Science, Computation & Neural Systems, and Bioengineering at Caltech. Winfree is the recipient of the Feynman Prize for Nanotechnology (2006), the NSF PECASE/CAREER Award (2001), the ONR Young Investigators Award (2001), a MacArthur Fellowship (2000), and MIT Technology Review's first TR100 list of "top young innovators" (1999). Prior to joining the faculty at Caltech in 2000, Winfree was a Lewis Thomas Postdoctoral Fellow in Molecular Biology at Princeton, and a Visiting Scientist at the MIT AI Lab. Winfree received a B.S. in Mathematics w/ Computer Science from the University of Chicago in 1991, and a Ph.D. in Computation & Neural Systems from Caltech in 1998. His website is http://dna.caltech.edu/~winfree/.

Toward molecular programming with DNA

Biological organisms are beautiful examples of programming. The program and data are stored in biological molecules such as DNA, RNA, and proteins; the algorithms are carried out by molecular and biochemical processes; and the end result is the creation and function of an organism. If we understood how to program molecular systems, what could we create? Lifelike technologies whose basic operations are chemical reactions? The fields of chemistry, physics, biology, and computer science are converging as we begin to synthesize molecules, molecular machines, and molecular systems of ever increasing complexity, leading to subdisciplines such as DNA nanotechnology, DNA computing, and synthetic biology. Having demonstrated simple devices and systems -- self-assembled structures, molecular motors, chemical logic gates -- researchers are now turning to the question of how to create large-scale integrated systems. To do so, we must learn how to manage complexity: how to efficiently specify the structure and behavior of intricate molecular systems, how to compile such specifications down to the design of molecules to be synthesized in the lab, and how to ensure that such systems function robustly. These issues will be illustrated for chemical logic circuits based on cascades of DNA hybridization reactions. Bio Erik Winfree is an Associate Professor in Computer Science, Computation & Neural Systems, and Bioengineering at Caltech. Winfree is the recipient of the Feynman Prize for Nanotechnology (2006), the NSF PECASE/CAREER Award (2001), the ONR Young Investigators Award (2001), a MacArthur Fellowship (2000), and MIT Technology Review's first TR100 list of "top young innovators" (1999). Prior to joining the faculty at Caltech in 2000, Winfree was a Lewis Thomas Postdoctoral Fellow in Molecular Biology at Princeton, and a Visiting Scientist at the MIT AI Lab. Winfree received a B.S. in Mathematics w/ Computer Science from the University of Chicago in 1991, and a Ph.D. in Computation & Neural Systems from Caltech in 1998. His website is http://dna.caltech.edu/~winfree/.

Toward molecular programming with DNA

Biological organisms are beautiful examples of programming. The program and data are stored in biological molecules such as DNA, RNA, and proteins; the algorithms are carried out by molecular and biochemical processes; and the end result is the creation and function of an organism. If we understood how to program molecular systems, what could we create? Lifelike technologies whose basic operations are chemical reactions? The fields of chemistry, physics, biology, and computer science are converging as we begin to synthesize molecules, molecular machines, and molecular systems of ever increasing complexity, leading to subdisciplines such as DNA nanotechnology, DNA computing, and synthetic biology. Having demonstrated simple devices and systems -- self-assembled structures, molecular motors, chemical logic gates -- researchers are now turning to the question of how to create large-scale integrated systems. To do so, we must learn how to manage complexity: how to efficiently specify the structure and behavior of intricate molecular systems, how to compile such specifications down to the design of molecules to be synthesized in the lab, and how to ensure that such systems function robustly. These issues will be illustrated for chemical logic circuits based on cascades of DNA hybridization reactions. Bio Erik Winfree is an Associate Professor in Computer Science, Computation & Neural Systems, and Bioengineering at Caltech. Winfree is the recipient of the Feynman Prize for Nanotechnology (2006), the NSF PECASE/CAREER Award (2001), the ONR Young Investigators Award (2001), a MacArthur Fellowship (2000), and MIT Technology Review's first TR100 list of "top young innovators" (1999). Prior to joining the faculty at Caltech in 2000, Winfree was a Lewis Thomas Postdoctoral Fellow in Molecular Biology at Princeton, and a Visiting Scientist at the MIT AI Lab. Winfree received a B.S. in Mathematics w/ Computer Science from the University of Chicago in 1991, and a Ph.D. in Computation & Neural Systems from Caltech in 1998. His website is http://dna.caltech.edu/~winfree/.

Introducing the New Editor-in-Chief of the Journal of Computers

As my three-year term as the founding editor of the Journal of Computers ( JCP , ISSN 1796-203X) ends in September 2008, it gives me great pleasure to introduce Prof. Prabhat Mahanti as the next Editor-in-Chief of JCP . Prof. Mahanti is a Professor in Computer Science at the University of New Brunswick, Saint John, Canada. He has extensive publications and editorial experience in the field of computer science. He serves on the editorial boards of a number of international scientific journals. He has served on the organizing committees of numerous international conferences in his field. Prof. Mahanti photograph and biography follow. I would like to take this opportunity to thank all JCP Editors, authors, readers, and reviewers for their great help and support over the past three years. I look forward to a bright future for JCP under the leadership of Prof. Mahanti. George J. Sun Outgoing Founding Editor

Ricardo Baeza-Yates speaks out

Welcome to this installment of ACM SIGMOD Record' s series of interviews with distinguished members of the database community. I'm Marianne Winslett, and today we are at the ICDE 2007 conference in Istanbul. I have here with me Ricardo Baeza-Yates, who is the vice president of Yahoo! Research in Europe and Latin America. Before that, he was a professor of computer science at the University of Chile for many years. His research interests include information retrieval, databases, algorithms, and user interfaces, and he is a co-author of one of the most widely used books on information retrieval. Ric's PhD is from the University of Waterloo. So, Ric, welcome!

Holistic Information Security: ISO 27001 and Due Care

“The only truly secure system is one that is powered off, cast in a block of concrete and sealed in a lead-lined room with armed guards—and even then I have my doubts.” —Gene Spafford, Professor of Computer Science, Purdue University

Review of Work motivation: History, theory, research, and practice.

GARY LATHAM Work Motivation: History, Theory, Research, and Practice Sage Publications, 2006, 376 pages (ISBN: 9780761920175, US$99.95 Hardcover) (ISBN: 9780761920182, US$49.95 Paperback) Reviewed by JACK DUFFY is a good book. Now, if you are a cursory reader of book reviews, you need read no further. Take my word for it; this is a good book. But if you diink you might like to read it and you are not in the habit of buying books simply because a reviewer said, This is a good book, please read on. Gary Latham is well known to Canadian psychologists. As a past president of CPA and the recipient of many Canadian and international awards, he writes should be given a high priority in our reading pile. If your pile is as high as mine, priorities are a necessity. following closely after the realization that if you do not the before working your way through that pile, actuarial estimates are not to be trusted. In addition, Dr. Latham's past books have been easy to read and comprehensive. So, I approached the current book with a positive attitude; but I spent eight years studying in Iowa (one state above Missouri), and I have adopted the show me mantra of that neighbour state. Why would I mention where I studied you might ask? Well, as it turns out, Dr. Latham's book is very detailed about under whom and where the major writers on work motivation studied. makes for interesting asides. His footnotes are both informative and eyebrow raising. An example of the former is, can see why McGregor, who championed Maslow's theory, also endorsed Herzberg's work. ... implicit in Maslow's and Herzberg's theories is the assumption that one does not directly motivate another person, one creates an environment where people can motivate themselves (p. 39). An example of the latter is, ...Upon introducing myself to Fred [Herzberg in 1975] as a former student of Bill Ronan's, he replied with little humor, trouble with you industrial psychologists is that you climb down into a mine, you ask a miner, when you have to pee, can you always do so, generally do so, sometimes do so, seldom do so, or never do so? I simply asked what do you do you have to pee while you are down here? (p. 40). The astute reader will note that these footnotes occur on adjoining pages. There is no telling where informative notes versus eyebrow-raising notes will occur in this book. I rather liked that aspect. While I am on the subject of Herzberg, Latham discusses various criticisms of his work, most notably by Vroom. Personally, I think he should have pointed out that a researcher asks people two questions (Think of a time you were satisfied with your job. What made you satisfied? and Think of a time you were dissatisfied with your job. What made you dissatisfied?), how many factors should one expect from the data? A realization of this bias adds new meaning to the aptly named Dual Factor Theory. Herzberg's work is a wonderful testament to the veracity of factor analysis and little more. Yet, by golly, he did launch job enrichment from it and there is a lot to be said for that. Go figure. is a personal book as well as a review of the literature on work motivation. The book covers the last 100 years of research and has a chapter on the future of research in diis field, which covers directions as well as the author's warnings about misdirections. book could be catalogued as bodi history and personal essay. Dr. Latham interjects (mostly in footnotes) stories about the scientists he is summarizing on that page. One comes away with two impressions - he knows a lot of people, and he makes these people, er, well, people. One is forced to realize that they are just like the rest of us only more famous and more instrumental in the progress of our knowledge about work motivation. I gave this book to a computer science professor with whom I work. She is interested in designing computer interfaces for sick children that will create intrinsic motivation for them to further understand their illness, its remedies, and behavioural changes which they must make. …

Kyu-Young Whang speaks out

Welcome to this installment of ACM SIGMOD Record's series of interviews with distinguished members of the database community. I'm Marianne Winslett, and today we are at the ICDE 2007 Conference in Istanbul. I have here with me Kyu-Young Whang, who is a professor of computer science at Korea Advanced Institute of Science and Technology, and the director of the Advanced Information Technology Research Center. Before joining KAIST, Kyu-Young was a member of technical staff at IBM TJ Watson Research Center. His research interests are very broad, encompassing many different kinds of database systems as well as data mining and data streaming. He is an editor-in-chief of the VLDB Journal, a former member of the VLDB Endowment, and an IEEE Fellow. Kyu-Young's PhD is from Stanford. So, Kyu-Young, welcome!

Stria:Lines to Its Reconstruction

There is a story that goes with the next four articles about Stria and the forthcoming Computer Music Journal DVD. It is not simply a set of articles and a new recording with striking visualizations. It is a story of four researchers and how they rehabilitated a piece of music given a program with some missing code and missing data, two different sound recordings, and my memory (aided by fading notes and drawings) of what I had done more than 30 years ago then their carefully analyzing my not-veryclean code written in an old language, linking the code to my musical intentions, explaining the music-theoretical underpinnings, tracking down the versions and discrepancies, understanding how it was assembled in the days of very limited disk storage for sound files, confirming my intentions through contemporaneous notes of long-forgotten unpublished analyses, reconstructing the code for the composition and synthesis in modern languages, preserving my original programming errors that had an audible consequence, carefully analyzing the existing recordings and inferring what I must have done so they could faithfully recreate a critical lost version of the program and its data and finally, creating Stria anew. The four authors, Matteo Meneghini (a computer scientist/musician), Laura Zattra (a musicologist/ philologist), Olivier Baudouin (a composer/researcher), and Kevin Dahan (a composer/theorist), all had independent interests and motivations. At different times, each asked me for information about Stria, which I provided as completely as I could. They pushed hard, as the electronic mails, documents, and finally sound files moved from them to me and back. Excepting Laura and Matteo, the four were unknown to one another. Over the years, I had received a few inquiries regarding Stria some casual and some specific. Among the latter were those from Toby Mountain, Roberto Doati, and Giovanni De Poli, all of whose early work enriched this current effort. Then, in December 2002, 1 received an electronic mail that reflected a wholly different level of interest. Matteo Men ghini, then a graduate student in electronics and computer science, asked detailed questions about Stria and the program I had written to compose it. At various times, I had provided copies of the program when asked, and he had gotten hold of one. His questions were pointed, about my use of recursion and about the availability of the program's input data and any other documentation that would aid him in analyzing the program. His project was being guided by Giovanni De Poli, professor of computer science and director of Centro di Sonologia Computazionale at the University of Padua, with whom I had been at IRCAM at various times in

Boon Thau Loo speaks out

Welcome to this installment of ACM SIGMOD Record's series of interviews with distinguished members of the database community. I'm Marianne Winslett, and today we are in Alexandria, Virginia. I have here with me Boon Thau Loo, who is an Assistant Professor of Computer and Information Science at the University of Pennsylvania. Boon is the recipient of the 2007 ACM SIGMOD Dissertation Award for his thesis entitled "The Design and Implementation of Declarative Networks." Boon's PhD is from the University of California at Berkeley, where his advisors were Joe Hellerstein and Ion Stoica. So, Boon, welcome!

Science Commons: Material Transfer Agreement Project

vital to the success and advancement of science. Many research protocols require assembling a large and diverse set of materials from many sources. Yet, often the process of finding and negotiating the transfer of such materials can be difficult and time-consuming. The ability to locate materials based on their descriptions in journal articles is often limited by lack of sufficient information about origin and availability, and there is no standard citation for such materials. In addition, the process of legal negotiation that may follow can be lengthy and unpredictable. This can have important implications for science policy, especially when delays or inability to obtain research materials result in lost time, productivity, and research opportunities. These transactional barriers for material transfer may ultimately have more impact on the productivity of basic laboratory science than concerns related to patents or other intellectual property. Science Commons, a project of Creative Commons, is a non-profit initiative that promotes policy and technology that remove unnecessary legal and technical barriers to scientific collaboration and innovation. Science Commons’s Material Transfer Agreement (MTA) Project seeks to reduce unnecessary barriers to the transfer and reuse of basic research materials and reagents, for both United States and international scientific collaboration, by proposing a scalable and flexible infrastructure for searching, negotiation, and tracking. Creative Commons was founded in 2001 by cyberlaw and intellectual property pioneers, including James Boyle, Michael Carroll, Molly Shaffer Van Houweling, and Lawrence Lessig, MIT computer science professor Hal Abelson, lawyerturned-documentary filmmaker-turned-cyberlaw expert Eric Saltzman, renowned documentary filmmaker Davis Guggenheim, noted Japanese entrepreneur Joi Ito, and public domain Web publisher Eric Eldred. Inspired by the open source movement, Creative Commons published a set of standardized copyright licenses free Thinh Nguyen

A Conversation with Michael Stonebraker and Margo Seltzer

Over the past 30 years Michael Stonebraker has left an indelible mark on the database technology world. Stonebraker’s legacy began with Ingres, an early relational database initially developed in the 1970s at UC Berkeley, where he taught for 25 years. The Ingres technology lives on today in both the Ingres Corporation’s commercial products and the open source PostgreSQL software. A prolific entrepreneur, Stonebraker also started successful companies focused on the federated database and stream-processing markets. He was elected to the National Academy of Engineering in 1998 and currently is adjunct professor of computer science at MIT. Interviewing Stonebraker is Margo Seltzer, one of the founders of Sleepycat Software, makers of Berkeley DB, a popular embedded database engine now owned by Oracle. Seltzer now spends most of her time teaching and doing research at Harvard, where she is full professor of computer science. She was kind enough to lend us her time and travel down the Charles River to speak with Stonebraker, her former Ph.D. advisor, at MIT’s striking Stata Center.

Introduction to computational science: Modeling and simulation for the sciences

Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind--now fully updated and expandedFeatures two new chapters on agent-based simulations and modeling with matricesIncreased coverage of high-performance computing and its applicationsIncludes additional modules, review questions, exercises, and projectsAn online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors)An online illustration package is available to professors Angela B. Shiflet is the Larry Hearn McCalla Professor of Mathematics and Computer Science and director of computational science at Wofford College. George W. Shiflet is the Larry Hearn McCalla Professor of Biology at Wofford College.

WRITING AND PUBLISHING SCIENTIFIC PAPERS USING TEX AND LATEX

There is a common misbelieve that, in a scientific paper, what really matters is the content, not the layout; in reality, people do not read poorly presented papers. On the other hand, everyone agrees that the author(s) should indeed focus on the content and should not waste time on the layout. (La)TeX is based on this idea, that authors should be able to focus on the meaning of what they are writing without being distracted by the visual presentation of the information. In preparing a (La)TeX document, the author specifies the logical structure using concepts such as chapter, section, table, figure, etc., and lets the (La)TeX system worry about the presentation of these structures. It, therefore, encourages the separation of layout from content, while still allowing manual typesetting adjustments where needed. TeX was developed in late 70’s and early 80’s by Donald E. Knuth, a professor of computer science at Stanford University. TeX is a typesetting language that was designed to produce high quality documents. LaTeX (usually pronounced [`leɪ.tɛk] in English) is a document markup language for TeX that was developed in the mid-80’s by Leslie Lamport and has become the dominant method for using TeX. The current version is LaTeX2e. TeX is distributed under a free software license, the LaTeX Project Public License (LPPL) and has a huge community which sustains its development. A number of TeX distributions are available, including TeX Live (multiplatform), MiKTeX (Windows), MacTeX (Mac OS X). MiKTeX (curent stable version is 2.6) is an up-to-date TeX implementation for the Windows operating system. MiKTeX offers a complete set of utilities, macro packages and fonts, e.g., LaTeX, pdfTeX, ConTeXt, just to name a few.