Jörg Lässig

Head of Group
Prof. Dr.-Ing.
Jörg Lässig
02826 Görlitz
Brückenstraße 1
Building G II, Room 108
+49 3581 7925 354

Short CV:

Professor for Enterprise Application Development, Zittau/Görlitz University of Applied Sciences (since 2011)

Postdoctoral Fellow, University of Lugano (2010-2011)

Postdoctoral Fellow, UC Berkeley (2009-2010)

Ph.D. in Computer Science, Chemnitz University of Technology (2009)

Research in Saarbrücken, Stanford (US), Christchurch (NZ)

Enterprise Application Development, CBS AG, Chemnitz

Diplom in CS, BA and MA of Sc. in Computational Physics, Chemnitz Universtiy of Technology

Apprenticeship, Dresdner Bank AG, Zwickau/Dresden

Selected Publications:

Lässig J, Sudholt D. General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms. In: Schaefer R, Cotta C, Kolodziej J, Rudolph G, editors. Parallel Problem Solving from Nature (PPSN XI). Vol 6238. Springer Berlin / Heidelberg; 2011. p. 234-43. (Lecture Notes in Computer Science; vol 6238). Best paper award of the PPSN 2010

Kramer O, Satzger B, Lässig J. Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. In: Proceedings of the 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010). San Sebastian, Spain: Springer LNAI, Vol. 6076; 2010. p. 262-9.

Lässig J, Sudholt D. The Benefit of Migration in Parallel Evolutionary Algorithms. In: Proceedings of the 12th annual conference on Genetic and evolutionary computation. ACM; 2010. p. 1105-12. Best paper award track "Parallel Evolutionary Systems"

Hochmuth CA, Lässig J, Thiem S. Simulation-based evolutionary optimization of complex multi-location inventory models. In: Proceedings of the 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). Vol 5.; 2010. p. 703-8.

Lässig J, Hoffmann K. Threshold-selecting Strategy for Best Possible Ground State Detection with Genetic Algorithms. Physical Review E. 2009;79:046702 (8 pages).

Awards:

Postdoctoral Fellowship of the German Academic Exchange Service (DAAD)

Second price for dissertations of the Foundation of Industrial Research (Stiftung Industrieforschung)

Ph.D. Scholarship of the Foundation of the German Business (sdw)

University Award 2004 of the Chemnitz University of Technology

Short CV

Professor for Enterprise Application Development, Zittau/Görlitz University of Applied Sciences (since 2011)

Postdoctoral Fellow, University of Lugano (2010-2011)

Postdoctoral Fellow, UC Berkeley (2009-2010)

Ph.D. in Computer Science, Chemnitz University of Technology (2009)

Research in Saarbrücken, Stanford (US), Christchurch (NZ)

Enterprise Application Development, CBS AG, Chemnitz

Diploma in CS, BA and MA of Sc. in Computational Physics, Chemnitz University of Technology

Apprenticeship, Dresdner Bank AG, Zwickau/Dresden

Selected Publications

Lässig J, Sudholt D. General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms. In: Schaefer R, Cotta C, Kolodziej J, Rudolph G, editors. Parallel Problem Solving from Nature (PPSN XI). Vol 6238. Springer Berlin / Heidelberg; 2011. p. 234-43. (Lecture Notes in Computer Science; vol 6238). Best paper award of the PPSN 2010

Kramer O, Satzger B, Lässig J. Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. In: Proceedings of the 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010). San Sebastian, Spain: Springer LNAI, Vol. 6076; 2010. p. 262-9.

Lässig J, Sudholt D. The Benefit of Migration in Parallel Evolutionary Algorithms. In: Proceedings of the 12th annual conference on Genetic and evolutionary computation. ACM; 2010. p. 1105-12. best paper award track "Parallel Evolutionary Systems"

Hochmuth CA, Lässig J, Thiem S. Simulation-based evolutionary optimization of complex multi-location inventory models. In: Proceedings of the 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010). Vol 5; 2010. p. 703-8.

Lässig J, Hoffmann K. Threshold-selecting Strategy for Best Possible Ground State Detection with Genetic Algorithms. Physical Review E. 2009;79:046702 (8 pages).

Awards

Second prize at Lausitzer Wissenschaftstransferpreis 2014 (Lausitz Research Transfer Award)

Postdoctoral Fellowship of the German Academic Exchange Service (DAAD)

Second prize for dissertations of the Foundation of Industrial Research (Stiftung Industrieforschung)

Ph.D. Scholarship of the Foundation of the German Business (sdw)

University Award 2004 of the Chemnitz University of Technology