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CV Paul Lukowicz

Since 2012 Paul Lukowicz is Full  Professor of AI at the TU of Kaiserslautern in Germany and Scientific Director heading  the Embedded Intelligence group at DFKI (German Research Center for Artificial Intelligence). Between 2006 and 2011 he has been Professor (W3)  of Computer Science at the University of Passau. Before that he held the Chair for Computer Engineering at the University of Medical Informatics, Health Science and Technology (UMIT) in Austria (2004-2006) and was a senior researcher (“Oberassistent”) at the Electronics Laboratory at ETH Zurich (1999-2004, plus part time association till 2006). Paul Lukowicz has  MSc. (Dipl. Inf.) and a Ph.D. (Dr. rer nat.) in Computer Science  a MSc. in Physics (Dipl. Phys.). His research deals with the interface between the digital, the physical, and the social world in particular  interpreting complex real world processes with sensors that are suitable for integration and long term use in real world setting including ubiquitous and wearable sensors. Research  goes all the way  from  sensor design and modeling through signal processing and machine learning to a broad range of applications.  Examples include new concepts for on body capacitive sensing, novel magnetic positioning systems for smart spaces and textile pressure sensor matrices that were adapted to applications ranging from smart soccer shoes through smart shirts to smart carpets and sensor seats for cars. 

Paul Lukowicz co-funder of  3 spinoff companies and co-author (together with a team from QUALCOM ) of a US  patent on location discovery.

Qualifications

1999 PhD in Computer Science, University fo Karlsruhe, Germany,

1993 Diplomphysiker, (MSc). Physics, Universität Karlsruhe, Germany

1992 Diplominformatiker, (MSc). Computer Science, Universität Karlsruhe, Germany

Selected recent publications

Suh, S., Lee, H., Lukowicz, P., & Lee, Y. O. 2021. „CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems“. Neural Networks, 133 (2021), 69-86 4.       

Nanni, M., Andrienko, G., Barabási, A. L., Boldrini, C., Bonchi, F., Cattuto, C., …Lukowqicz,P… & Vespignani, A. (2021). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics and Information Technology, 1-6.

Nowak, A., Lukowicz, P., & Horodecki, P. (2018). Assessing Artificial Intelligence for Humanity: Will AI be the Our Biggest Ever Advance? or the Biggest Threat [Opinion]. IEEE Technology and Society Magazine, 37(4), 26-34. 

Strzys, Martin P., Sebastian Kapp, Michael Thees, Pascal Klein, Paul Lukowicz, Pascal Knierim, Albrecht Schmidt, and Jochen Kuhn. “Physics holo. lab learning experience: using smartglasses for augmented reality labwork to foster the concepts of heat conduction.” European Journal of Physics 39, no. 3 (2018): 035703.

Rey, V. F., & Lukowicz, P. (2017). Label propagation: An unsupervised similarity based method for integrating new sensors in activity recognition systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), 1-24.

Franke, T., Lukowicz, P., & Blanke, U. (2015). Smart crowds in smart cities: real life, city scale deployments of a smartphone based participatory crowd management platform. Journal of Internet Services and Applications, 6(1), 1-19.

Kampis, George, and Paul Lukowicz. “Collaborative knowledge fusion by ad-hoc information distribution in crowds.” Procedia Computer Science 51 (2015): 542-551

Lukowicz, P., Pentland, S., & Ferscha, A. (2012). From context awareness to socially aware computing. IEEE pervasive computing, 11(1), 32-41

Roggen, D., Tröster, G., Lukowicz, P., Ferscha, A., Millán, J.D.R. and Chavarriaga, R., 2012. Opportunistic human activity and context recognition. Computer, 46(2), pp.36-45.

Giannotti, Fosca, Dino Pedreschi, Alex Pentland, Paul Lukowicz, Donald Kossmann, James Crowley, and Dirk Helbing. “A planetary nervous system for social mining and collective awareness.” The European Physical Journal Special Topics 214, no. 1 (2012): 49-75.

Calder, M., Craig, C., Culley, D., de Cani, R., Donnelly, C. A., Douglas, R., Edmonds, B., Gascoigne, J., Gilbert, N., Hargrove, C., Hinds, D., Lane, D. C., Mitchell, D., Pavey, G., Robertson, D., Rosewell, B., Sherwin, S., Walport, M. and Wilson, A. (2018) “Computational modelling for decision-making: Where, why, what, who and how,” Royal Society Open Science, 5(6), p. 172096. doi: 10.1098/rsos.172096.