Interfaces in Computer Science and Operations Research

1997 ◽  
Keyword(s):  
Computer Science ◽  
Operations Research

Computer Science and Operations Research: New Developments in Their Interfaces.

1994 ◽  
Vol 45 (2) ◽  
pp. 239 ◽  
Author(s):  
Martin Davies ◽  
Osman Balci ◽  
Ramesh Sharda ◽  
Stavros A. Zenios
Keyword(s):  
Computer Science ◽  
Operations Research ◽  
New Developments

scholarly journals GESTÃO DO CONHECIMENTO E GESTÃO DA INOVAÇÃO: UM ESTUDO BIBLIOMÉTRICO NA WEB OF SCIENCE (1945-2015)

2016 ◽  
pp. 113
Author(s):  
Paulo Fernando Marschner ◽  
Lucas Veiga Ávila ◽  
Analisa Tiburski Sommer
Keyword(s):  
Knowledge Management ◽  
Social Science ◽  
Computer Science ◽  
Operations Research ◽  
Information Science ◽  
Web Of Science ◽  
Innovation Management ◽  
Library Science ◽  
Research Management ◽  
Business Economics

Este estudo tem como objetivo analisar as características das publicações sobre Knowledge management (Gestão do conhecimento) e Innovation management (Gestão da inovação) na base de dados Web of Science, no período de 1945 a 2015. O trabalho descritivo e quantitativo, de natureza bibliométrica, busca levantar as características da produção acadêmica. Como principal resultado das 372 publicações analisadas constatou-se que os anos com maior publicação foram os de 2008 e 2015, em especial nas seguintes áreas temáticas: Business economics (Economia Empresarial), Operations research management science (Gestão de Operações), Engineering (Engenharias), Computer science (Ciência da Computação), Information science library science (Ciência da informação/biblioteconomia), Social science (Ciências Sociais). Os documentos são 66,6% proceedings paper, e o principal titulo é o International journal of technology management. Os países com maior número de produção são a China e os Estados Unidos, e o principal idioma é a língua inglesa.

The Pransky interview: Dr Ken Goldberg, Professor, Industrial Engineering and Operations Research, UC Berkeley; Inventor and Artist

2019 ◽  
Vol 46 (2) ◽  
pp. 188-191
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
San Francisco ◽  
Operations Research ◽  
Industrial Robot ◽  
Electrical Engineering ◽  
Medical Robotics ◽  
Industrial Engineering ◽  
Science And Engineering ◽  
Content Type ◽  
The University

Purpose The following article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business, and personal experience of a prominent, robotic industry PhD and inventor regarding his pioneering efforts and the commercialization of bringing a technological invention to market. The paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Ken Goldberg, an inventor working at the intersection of art, robotics, and social media. He joined the UC Berkeley faculty in 1995 where he is the UC Berkeley William S. Floyd Jr Distinguished Chair in Engineering and recently served as Chair of the Industrial Engineering and Operations Research Department. He has secondary appointments in UC Berkeley’s Electrical Engineering/Computer Science, Art Practice and the School of Information. Goldberg also holds an appointment at the UC San Francisco Medical School’s Department of Radiation Oncology where he pursues research in medical robotics. Goldberg is Director of the CITRIS “People and Robots” Initiative and the UC Berkeley’s Laboratory for Automation Science and Engineering (AUTOLAB) where he and his students research machine learning for robotics and automation in warehouses, homes, and operating rooms. In this interview, Goldberg shares some of his personal and business perspectives from his career-long pursuit of making robots less clumsy. Findings Goldberg earned dual BS degrees in Electrical Engineering and Economics from the University of Pennsylvania in 1984, and MS and PhD degrees in Computer Science from Carnegie Mellon University in 1990. Goldberg also studied at Edinburgh University and the Technion. From 1991-95 he taught at the University of Southern California, and in fall 2000, he was visiting faculty at the MIT Media Lab. Goldberg and his students pursue research in three primary areas: Geometric Algorithms for Automation, Cloud Robotics, and Robot Learning. Originality/value Goldberg developed the first complete algorithms for part feeding and part fixturing, and developed the first robot on the Internet. His inventions have been awarded nine US Patents. Goldberg has published over 250 peer-reviewed technical papers and edited four books. He co-founded and served as Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering (T-ASE). He is also Co-Founder of the Berkeley AI Research (BAIR) Lab, the Berkeley Center for New Media (BCNM), the African Robotics Network (AFRON), the Center for Automation and Learning for Medical Robotics (CAL-MR), the CITRIS Data and Democracy Initiative (DDI), Hybrid Wisdom Labs, and Moxie Institute. He has presented over four hundred keynote and invited lectures. Goldberg's artwork, closely linked with his research, has appeared in over seventy venues. Ken was awarded the Presidential Faculty Fellowship in 1995 by Bill Clinton, the Joseph Engelberger Robotics Award in 2000, elected IEEE Fellow in 2005, and selected by the IEEE Robotics and Automation Society for the George Saridis Leadership Award in 2016.

The Impact of Emerging Technologies on Computer Science and Operations Research.

1996 ◽  
Vol 47 (10) ◽  
pp. 1314 ◽  
Author(s):  
Charles Leake ◽  
Stephen G. Nash ◽  
Ariela Sofer
Keyword(s):  
Computer Science ◽  
Operations Research ◽  
Emerging Technologies ◽  
The Impact

scholarly journals ВИКОРИСТАННЯ ХМАРО ОРІЄНТОВАНОГО КОМПОНЕНТУ НА БАЗІ СИСТЕМИ MAXIMA У ПРОЦЕСІ НАВЧАННЯ ДОСЛІДЖЕННЯ ОПЕРАЦІЙ

2017 ◽  
Vol 57 (1) ◽  
pp. 154 ◽  
Author(s):  
Mariya P. Shyshkina ◽  
Ulyana P. Kohut
Keyword(s):  
Computer Science ◽  
Operations Research ◽  
High Tech ◽  
Expert Evaluation ◽  
Research Activities ◽  
Science Disciplines

The article highlights the problem of the use of computer mathematics (SCM) in today's high-tech environment, in particular, it describes the promising ways of introducing the cloud-oriented components based on SCM, which is a significant factor in increasing access to them as a means of educational and research activities in the field of mathematics and computer science disciplines. The role of SCM in training of bachelors of computer science and especially their use in operations research learning is revealed. The main characteristics of SCM MAXIMA and ways of access to it both locally and in the cloud-oriented implementation are considered. The results of the expert evaluation of the cloud-based learning component with the use of MAXIMA system for operations research learning are presented.

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