Innar Liiv Email & Phone Number
@ttu.ee
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Who is Innar Liiv? Overview
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Innar Liiv is listed as Associate Professor (Big Data) at Tallinn University of Technology, a with 799 employees, based in Estonia. AeroLeads shows a work email signal at ttu.ee and a matched LinkedIn profile for Innar Liiv.
Innar Liiv previously worked as Advisor at 3Dprinteros and Member of University IT Council at Tallinn University Of Technology.
Email format at Tallinn University of Technology
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AeroLeads found 1 current-domain work email signal for Innar Liiv. Compare company email patterns before reaching out.
About Innar Liiv
Innar Liiv is a Associate Professor (Big Data) at Tallinn University of Technology. They possess expertise in data mining, machine learning, research, computer science, statistics and 33 more skills. They is proficient in Finnish, Russian and English. Colleagues describe them as "To me Innar is person with unrealistic wisdom/age ratio. I always try catch chance to listen him speaking on events and always will redistribute something new I learned from him."
Listed skills include Data Mining, Machine Learning, Research, Computer Science, and 34 others.
Innar Liiv's current company
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Innar Liiv work experience
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Advisor
Current3DPrinterOS simplifies how people produce physical objects, radically reducing the time from prototype to market. Our cloud infrastructure helps businesses of all sizes in every industry securely access and manage their analytics, users, files and manufacturing machines from a single interface. 3DPrinterOS is built on a pure cloud/web/mobile architecture so it infinitely scalable and can be deployed privately for maximum security. Trusted by companies such as Ford and Cisco, 3DPrinterOS offers on-site deployment, training and 24/7 support and has active users in over 100 countries around the world. Please contact us for more information at www.3dprinteros.com.
Associate Professor (Big Data)
Current
Member Of University It Council
IT Council serves to advise the rector on resources and priorities concerning all aspects of computing, information management, and communication technology.
Board Member
Estonian Young Academy of Sciences is a non-profit organization that aims to promote science and scientific decision-making, strengthen links between academia and the rest of the society, contribute to scientific and societal progress, and act as the voice of young researchers in Estonia. The members of the academy are selected Estonian researchers under the age of 41.
Research Associate
The Centre for Technology and Global Affairs produces research on the transforming impact of modern technology on international relations, government, and society. Based at Oxford University’s Department of Politics and International Relations, it is the first global research initiative focusing on the study of technology in a political science department at any of the world’s major universities.The Centre seeks to create a new body of knowledge on the political and social impact of ongoing technological changes and to apply these new understandings to the guidance of policy practice. The Centre’s research is wide ranging. Faculty, researchers, and associates explore developments across a broad spectrum of technological dimensions – including cybersecurity, artificial intelligence, machine learning, and robotics. Connections between our researchers and the wider world of government and industry are at the heart of our impact mission.The Centre was established by Artur Kluz through core funding from Kluz Ventures. Oxford University and its Department of Politics and International Relations express their gratitude to Mr. Kluz, the Centre's Founding Donor and Chairman of the Advisory Board, for his founding vision and critical role in the initiative.
Visiting Research Fellow
During my Visiting Research Fellowship at the Department, I will primarily work on an interdisciplinary research question "How to use data science to improve governments innovatively and successfully?" In addition, I will help the department and the Cyber Studies Programme develop their e-government research agenda, consult on e-governance technologies and act as an informal interface between disciplines.
Member Of Supervisory Board
70-person joint venture between universities and IT companies.
Visiting Scholar
During my stay at Stanford, I am seeking interdisciplinary collaboration for finding HR insights from big data, developing new HR analytics methods for understanding and making sense of future organizations. My current focus is on e-government and data science - making sense of work process logs from 100+ local municipalities in Estonia.
Research Associate
Visiting Researcher
Research visit to Prof. John Stasko's Information Interfaces Group.
Ceo
Data Mining Internship
Data Mining Internship at Hansapank (currently Swedbank). Participating in a data mining pilot project (Finding patterns from pension insurance pillar campaign data with SPSS Clementine)
Frequently asked questions about Innar Liiv
Quick answers generated from the profile data available on this page.
What company does Innar Liiv work for?
Innar Liiv works for Tallinn University of Technology.
What is Innar Liiv's role at Tallinn University of Technology?
Innar Liiv is listed as Associate Professor (Big Data) at Tallinn University of Technology.
What is Innar Liiv's email address?
AeroLeads has found 1 work email signal at @ttu.ee for Innar Liiv at Tallinn University of Technology.
Where is Innar Liiv based?
Innar Liiv is based in Estonia while working with Tallinn University of Technology.
What companies has Innar Liiv worked for?
Innar Liiv has worked for Tallinn University Of Technology, 3Dprinteros, Estonian Young Academy Of Sciences, University Of Oxford, and Stacc (Software Technology And Applications Competence Center, Estonia).
How can I contact Innar Liiv?
You can use AeroLeads to view verified contact signals for Innar Liiv at Tallinn University of Technology, including work email, phone, and LinkedIn data when available.
What skills is Innar Liiv known for?
Innar Liiv is listed with skills including Data Mining, Machine Learning, Research, Computer Science, Statistics, Artificial Intelligence, Data Analysis, and Algorithms.
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