Aalto University

Welcome to the Tenured Professors' Installation Lectures

28.02.2013

Aalto University celebrates its Tenured Professors with popular lectures presented by the new tenure track professors of Associate or Full level.

Welcome to hear about Aalto University’s research on Wednesday 6 March 2013 at 14.15 at the Dipoli Congress Center. (see the event details)

Programme (pdf)

Lecturers and topics:

Aristides Gionis, Associate Professor
School of Science, Department of Information and Computer Science
“Data analysis for smart living”

Mathias Groth, Associate Professor
School of Science, Department of Applied Physics
“Taming a star – fusion and fusion research at Aalto University”

Nuutti Hyvönen, Associate Professor
School of Science, Department of Mathematics and Systems Analysis
“Inverse problems”

Jari Saramäki, Associate Professor
School of Science, Department of Biomedical Engineering and Computational Science
“Mobile phones and social networks”

Sergiy Vorobyov, Full Professor
School of Electrical Engineering, Department of Signal Processing and Acoustics
“Modern engineering is computational engineering”

All lectures will be held in English and are open for everyone.

The multidisciplinary lectures will be followed by a reception hosted by Tuula Teeri, the President of Aalto University.

Lecturers:

Aristides_Gionis.jpgAristides Gionis (born 1972, Greece) obtained his Ph.D. from Stanford University, USA, in 2003. Prior to his present appointment at Aalto University, Dr. Gionis was an Academy of Finland postdoctoral fellow in the University of Helsinki (2003-2006) and a senior research scientist in Yahoo! Research, Barcelona, Spain (2006-2012).

Dr. Gionis is known for his work on algorithmic data analysis. His research focuses on developing novel methods to extract knowledge from large volumes of data, and explore new ways of using the extracted information. His contributions span a wide range of topics, from cluster analysis to web mining, and social-network analysis. Gionis is an associate editor of the IEEE Transactions of the Knowledge and Data Engineering. He has co-authored more than 90 journal and conference articles.

By the decision of the President of Aalto University on August 24, 2012, Aristides Gionis, Ph.D., has been appointed Associate Professor (tenured) in Machine Learning, Probabilistic Modeling, and Data Mining in the Department of Information and Computer Science at the Aalto University School of  Science.

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Mathias_Groth.jpgMathias Groth (born 1972, Germany) earned his Ph.D. degree in Plasma Physics and Nuclear Fusion at Manchester University of Science and Technology (UMIST), UK,  in 2000. He carried out the thesis research at the Joint European Torus (JET) in the UK, the world's largest magnetically confined fusion device, where he determined spectroscopically the helium content in the residual gas. His thesis showed helium de-enrichment in JET, which could potentially lead to quenching of the fusion process.

Prior to joining Helsinki University of Technology in 2008, Dr. Groth worked as a post-doctorate and research scientist for Lawrence Livermore National Laboratory at the DIII-D National Fusion Facility in San Diego, California. There, his research focused on impurity source and transport in the scrape-off layer of the DIII-D tokamak, linking measurements to edge plasma simulations to elucidate tritium retention in tokamaks. In 2009 Dr. Groth joined the JET Task Forces where he developed and executed the experimental programme of the JET ITER-like Wall campaigns in 2011 and 2012. Since 2009 he has been leading the efforts in edge plasma physics within the Finnish Fusion Association and at JET.

By the decision of the President of Aalto University on June 27, 2012, Mathias Groth, Ph.D., has been appointed Associate Professor (tenured) in Nuclear Engineering in the Department of Applied Physics at the Aalto University School of Science.

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Hyvonen_Nuutti.jpgNuutti Hyvönen (born 1977, Finland) earned his D.Sc. (Tech.) degree in Mathematics at the Helsinki University of Technology, Finland, in 2004. In 2008 he worked as a visiting researcher at the University of Washington, Seattle, USA. Dr. Hyvönen has been the head of the Inverse Problems Research Group at the Department of Mathematics and Systems Analysis of TKK and Aalto University since 2009. Prior to his appointment, he worked as an Academy Research Fellow in Finland.

Dr. Hyvönen's specialities are inverse problems and especially inverse boundary value problems for partial differential equations together with the related imaging modalities. He studies both computational and theoretical aspects of inverse mathematics. Dr. Hyvönen has co-authored 35 peer-reviewed journal articles. He is a board member of the Finnish Inverse Problems Society and the Finnish Centre of Excellence in Inverse Problems Research.

By the decision of the President of Aalto University on September 24, 2012, Nuutti Hyvönen, D.Sc., has been appointed Associate Professor (tenured) in Applied Mathematics in the Department of Mathematics and Systems Analysis at the Aalto University School of Science.

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Saramaki_Jari.jpgJari Saramäki (born 1971, Finland) earned his D.Sc. (Tech.) degree in Engineering Physics at the Helsinki University of Technology, Finland, in 1998. His doctoral studies were related to surface properties of 4He quantum crystals at milliKelvin temperatures.

Prior to returning to the Helsinki University of Technology, Dr. Saramäki worked in the telecom industry (Sonera), specializing in customer behavior, and co-founded the data mining company Xtract. Successively, he moved to the science of complex systems and re-entered academia in 2003. Since then, he has been the leader of the Complex Networks research group at the Department of Biomedical Engineering and Computational Science, Aalto University (formerly at the Laboratory of Computational Engineering, TKK).
For fall 2010, he was appointed a Visiting Scholar at the University of Oxford, UK.

By the decision of the President of Aalto University on June 27, 2012, Jari Saramäki, D.Sc., has been appointed  Associate Professor (tenured) in Computational Science in the Department of Biomedical Engineering and Computational Science at the Aalto University School of  Science.

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VorobyovSergiy.jpgSergiy A. Vorobyov (born 1972, Ukraine) obtained his Ph.D. degree in Systems and Information Processing from Kharkiv National University of Radio Electronics, Ukraine, in 1997. Prior to his present appointment at Aalto University, he was Professor at the University of Alberta, Canada, where he started in 2006 as an Assistant Professor, was tenured and promoted to Associate (2010) and Full Professor (2012). Dr. Vorobyov has also held a Reader position at Heriot-Watt University and the University of Edinburgh, U.K. Since his graduation, he also held various research positions in Ukraine (1998), Japan (1999-2001), Canada (2001-2005) and Germany (2002-2006).

Dr. Vorobyov's research interests include statistical and array signal processing, linear algebra, optimization, and game theoretic methods in signal processing and communications, estimation, detection, and sampling theories, and cognitive systems. He has co-authored over 160 refereed articles in these fields. Dr. Vorobyov is a recipient of the 2004 IEEE Signal Processing Society Best Paper Award, the 2007 Alberta Ingenuity New Faculty Award, the 2011 Carl Zeiss Award (Germany), and other awards. He has been/is a member of the Sensor Array and Multi-Channel Signal Processing and Signal Processing for Communications and Networking Technical Committees of the IEEE Signal Processing Society.

By the decision of the President of Aalto University on March 5, 2012, Sergiy Vorobyov, Ph.D. has been appointed Full Professor (tenured) in Signal Processing in the Department of Signal Processing and Acoustics at the Aalto University School of Electrical Engineering.

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Tenure track is the core academic career system of Aalto University. It is the foundation of Aalto University's objective to be a world-class university with a distinct profile, in which science and art meet business and technology. Aalto tenure track offers a well-supported career path aimed at the Professorial level for successful academics. Tenure track is based on the principle of commitment from university and individual to academic career; it has clearly defined expectations, incentives, and assistance in personal, professional and academic development.

Further information
Minna Lönnqvist
minna.lonnqvist [at] aalto [dot] fi

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