acm - an acm publication

2019 - August

  • Students tackle the routing problem for in-traffic emissions tests

    Vehicle emissions tests used to be done entirely in the laboratory. However, certain car manufacturers cheated on those tests. In response, the European Union introduced emissions tests in real traffic. To make such tests meaningful, they must be performed on routes that meet certain criteria, such as the difference in elevation between start and end points and the proportion of urban and country roads. Finding suitable routes is a complex search problem. Undergraduate students from Karlsruhe Institute of Technology, Germany, developed the first fully automatic solution for finding such routes. In this interview, they share how they did it.

  • A conversation with Marianna Obrist: using touch, taste and smell in virtual and augmented experiences

    In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Marianna Obrist, who is exploring augmented and virtual reality within the context of HCI. Obrist discusses multi-sensory interactions that go beyond sight and sound, as well as her work that explores the role of human senses in the design of future technologies.

2018 Symposia

Ubiquity symposium is an organized debate around a proposition or point of view. It is a means to explore a complex issue from multiple perspectives. An early example of a symposium on teaching computer science appeared in Communications of the ACM (December 1989).

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Ubiquity Symposium: Big Data

Table of Contents

  1. Big Data, Digitization, and Social Change (Opening Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic
  2. Big Data and the Attention Economy by Bernardo A. Huberman
  3. Big Data for Social Science Research by Mark Birkin
  4. Technology and Business Challenges of Big Data in the Digital Economy by Dave Penkler
  5. High Performance Synthetic Information Environments: An integrating architecture in the age of pervasive data and computing By Christopher L. Barrett, Jeffery Johnson, and Madhav Marathe
  6. Developing an Open Source "Big Data" Cognitive Computing Platform by Michael Kowolenko and Mladen Vouk
  7. When Good Machine Learning Leads to Bad Cyber Security by Tegjyot Singh Sethi and Mehmed Kantardzic
  8. Corporate Security is a Big Data Problem by Louisa Saunier and Kemal Delic
  9. Big Data: Business, technology, education, and science by Jeffrey Johnson, Luca Tesei, Marco Piangerelli, Emanuela Merelli, Riccardo Paci, Nenad Stojanovic, Paulo Leitão, José Barbosa, and Marco Amador
  10. Big Data or Big Brother? That is the question now (Closing Statement) by Jeffrey Johnson, Peter Denning, David Sousa-Rodrigues, Kemal A. Delic