Interviews are organized by the month and year in which they first appeared. To find an interviewee by name, use the search bar (at upper right).
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2019
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An interview with Jeronimo Castrillon: novel programming abstractions and methodologies for new computing architectures
by Bushra Anjum
December 2019In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Jeronimo Castrillon, a professor in the Department of Computer Science at the TU Dresden, to discuss the need for novel programming abstractions and methodologies for efficient computing on future systems.
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An interview with Sarah Clinch: anticipating adverse effects of technology on human cognition
by Bushra Anjum
November 2019In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Sarah Clinch, computer science researcher and lecturer at the University of Manchester, to discuss the cognitive burden technology innovations create.
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A conversation with Lauren Wilcox: empowering people in the review, analysis, and management of complex health-related data
by Bushra Anjum
October 2019In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Lauren Wilcox, Director of the HX Lab at Georgia Tech, to discuss how intelligent technologies can be designed and developed to facilitate the management of personal health data and support patient decision-making.
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A conversation with Danish Contractor: advancing chatbots and intelligent question-answering systems to support complex human querying
by Bushra Anjum
September 2019In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Danish Contractor, a senior artificial intelligence researcher at IBM Research India. Contractor discusses his work advancing question-answering systems and chatbots for complex human interaction.
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Students tackle the routing problem for in-traffic emissions tests
by Walter Tichy
August 2019Vehicle 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.
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A conversation with Marianna Obrist: using touch, taste and smell in virtual and augmented experiences
by Bushra Anjum
August 2019In 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.
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A conversation with Santiago Montesdeoca: how current 3-D computer animations are constraining individual creative expression
by Bushra Anjum
July 2019In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum, sits down with Dr. Santiago Montesdeoca to discuss the evolution of the animation industry as well as the aesthetic constraints creatives face when reconciling their personal artistry with commerce and trends.
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An interview with Lana Yarosh: confronting social isolation with the help of technology
by Bushra Anjum
June 2019In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum, sits down with Prof. Lana Yarosh of the University of Minnesota to discuss geophysical and emotional distances as they relate to social disconnection and our evergrowing dependence on technology.
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Computing a landing spot on Mars: an interview with Victor Pankratius
by Walter Tichy
May 2019The purpose of the Mars rover is in its name---to rove, explore, study Martian geology, look for signs of water, look for signs of life (past or present), etc. However, achieving these and other objectives requires putting the rover down on a suitable landing site, i.e. a site suitable for searching for the desired information and safe to land and function without hindrance or breaking down.
The data for making these decisions comes from prior Mars missions. Selecting a suitable landing site is a complex process typically taking several years. Researchers at MIT's Kavli Institute for Astrophysics and Space Research prototyped a new software that can help NASA mission planners to more rapidly and reliably find landing sites, potentially reducing the total time required to weeks. In this interview, Victor Pankratius, leader of the research team, shares some insight into the project.
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An interview with Jason Ernst: incentives of a decentralized networking infrastructure
by Bushra Anjum
April 2019In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum, sits down with Jason Ernst, CTO of RightMesh, to discuss how his company is using mobile mesh networks to decentralize existing network infrastructure in areas where it doesn't exist or is too expensive to maintain--effectively putting the control of data in the hands of the people.
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An interview with Katie Schuman: on the future of neuromorphic computing
by Bushra Anjum
March 2019In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum, sits down with Katie Schuman to discuss computers inspired by biological neural systems as an alternate promising architecture.
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An interview with Indrajit Roy: toward self-correcting systems
by Bushra Anjum
February 2019Indrajit Roy is a staff engineer at Google. He is currently working on peta-scale distributed databases. Previously, he was a principal researcher at HP Labs where he led the development of Distributed R, an open source HP product that brings the benefits of parallelism to data scientists. Roy received his Ph.D. in computer science from UT Austin. He is also an inaugural member of the ACM Future of Computing Academy.
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An interview with Lauren Maffeo: understanding the risks of machine learning bias
by Bushra Anjum
January 2019Lauren Maffeo is a research analyst who joined the global technology sector in 2012. She started her career as a freelance journalist covering tech news for The Next Web and The Guardian. She has also worked with CEOs of pre-seed to profitable SaaS startups on media strategy. Lauren joined GetApp, a Gartner company, as a content editor in 2016. She covers the impact of emerging tech like AI on small and midsize business owners.
Lauren has been cited by sources including Forbes, Fox Business, DevOps Digest, The Atlantic, and Inc.com. In 2017, Lauren was named to The Drum's 50 Under 30 list of women worth watching in digital. She holds an M.Sc. from The London School of Economics and a certificate in Artificial Intelligence: Implications for Business Strategy from MIT's Sloan School of Management.