For contacting us via email, please reason by analogy to albert.einstein [at] tu-dresden.de

 

Head of Chair

Marc Timme, Prof. Dr. rer. nat., MA

Became TU Dresden Strategic Professor and Chair for Network Dynamics in 2017, bridging the cfaed with the Institute for Theoretical Physics. Marc is interested in building mathematical, conceptual and algorithmic foundations towards an understanding of the collective nonlinear dynamics of networks, applications fields include biological and bio-inspired technical systems, future mobility, network economy & sustainability as well as network inverse problems of inference, design, and control. Enjoys swimming, hiking, philosophy -- and science.

 

Research inquiries:

e-mail: marc.timme@tu-dresden.de
Phone: +49 351 463 34512 / 43972
Offices: BZW A411 / BAR IV68

Management & Administration

Primary contact:

Manuela Merkel

Assistant

e-mail: manuela.merkel@tu-dresden.de

Phone: +49 351 463 39922

Office:
Barkhausen-Bau, BAR IV69
Helmholtzstr. 18
01069 Dresden

Teaching inquiries

Gundula Schädlich

Assistant

e-mail: gundula.schaedlich@tu-dresden.de

Phone: +49 351 463 33846

Office:
Bürogebäude Zellescher Weg, BZW A110
Zellescher Weg 17
01069 Dresden

Postdoctoral Researchers

Malte Schröder, Dr. rer. nat.

From Germany, studied at the University and the MPI for Dynamics and Self-Organization in Göttingen, joined in March 2018. Research Interest include statistical physics of network formation, percolation and phase transitions in these models as well as collective dynamics on networks, synchronization and especially the impact of optimization and economic constraints on these systems. Enjoys board games, all kinds of puzzles and cycling.

e-mail: malte.schroeder@tu-dresden.de
Phone: +49 351 463 43976

Xiaozhu Zhang, Dr. rer. nat.

From China, trained as an engineer in Shanghai and as a physicist in Göttingen. Joined in February 2018. Current research interests include dynamic network responses to fluctuations, pattern formation on networks, perturbation spreading and power grid dynamics. Enjoys reading and traveling.

e-mail: xiaozhu.zhang@tu-dresden.de
Phone: +49 351 463 43975

 

Fabio Schittler Neves, Dr. rer. nat.

Brazilian. Studied physics in Brazil and earned his PhD in Goettingen, Germany. Joined in July 2018. Research interests include emergent dynamics on networked  and dynamical systems, analogue computation in general and artificial intelligence concepts. Enjoys sports, in particular “The Beautiful Game” also known as football.

e-mail: fabio.neves@tu-dresden.de
Phone: +49 351 463 43978

Research Associates

Wen-Chuang Chou, Dr. rer.nat.

From Taiwan, joined in October 2017. Research interests include theoretical neuroscience, mainly focusing on sensory coding and processing in biological neural networks as well as artificial intelligence.  Enjoys classical music, and playing the piano.

e-mail: wen-chuang.chou
Phone: +49 351 463 38633

Florencia Noriega Romero Vargas, M.Sc.

Joined in 2018, studied in Mexico city, Rio de Janeiro and Göttingen. Develops algorithms for investigating acoustic signals of animals -- whales, parrots, primates, mice, bats -- focusing on the detection and classification of animal vocalizations and the quantification of temporal and combinatorial patterns. Enjoys traveling, skateboarding and learning.

e-mail: florencia.noriega

Diemut Regel, M.Sc.

From Germany, studied psychology in Göttingen and Pune, India. Joined in December 2018. Research interests include understanding how complex behavior can arise from very simple dynamical systems and theoretical neuroscience. Enjoys hiking, canoeing, camping and wondering how the mind and the brain are connected.

e-mail: Diemut.Regel

David Storch, M.Sc.

From Germany, studied physics and economics in Göttingen and Stellenbosch (South Africa). Research interests include collective phenomena in urban mobility systems, pattern formation in shared mobility modes, network flows, as well as seamless integration of multimodal mobility services. Enjoys long-distance running and cycling.

e-mail: David.Storch@mailbox.tu-dresden.de

Nora Molkenthin, Dr. rer. nat.

From Germany, studied in Berlin, Manchester, Cambridge and Uppsala. Research interests include statistical physics of network formation, network theory, protein folding, social dynamics and transport phenomena. Enjoys parkour and creativity in all its shapes.

e-mail: nora.molkenthin@ds.mpg.de

PhD Students

 

Guosong Lin, M.Sc.

From China, studied at TU-Clausthal. Joined March 2018. Research interests include observability analysis, measurement place on network, state estimation of network, control of converter. Enjoys sport and fishing.

e-mail: guosong.lin
 

Philip Marszal, M.Sc.

Joined in 2018.

e-mail: philip.marszal@tu-dresden.de

 

Raoul Schmidt, M.Sc.

Joined in 2018.

e-mail: Raoul.Schmidt@tu-dresden.de

 

Moritz Thümler, M.Sc.

Charlotte Lotze, M.Sc.

From Germany, studied in Freiberg and Dresden. Joined in October 2017. Current research interests include nonlinear dynamics especially in evolutionary models. Enjoys walking and music.

e-mail: charlotte.lotze@tu-dresden.de

 

Verena Krall, M.Sc.

From Germany, studied Physics in Tuebingen and Oulu (Finland). Joined in May 2019. Her current research interests include effects of network topologies on mobility dynamics. Enjoys singing, reading and writing.

e-mail:

Master's Students

 

David Stein, B.Sc.

From Germany, studied in Dresden. Joined in October 2017. Current research interests include mobility, especially transitions in collective autonomous dynamics. Enjoys music, reading and programming.

e-mail: David.Stein1

Paul Wilhelm, B.Sc.

From Dresden, joined in May 2018. Interested in neural networks and sensory processing. Enjoys biking and rap music.

e-mail: paul.wilhelm

 

Alumni

Jose Casadiego, Dr. rer. nat.

 

e-mail: jose.casadiego@tu-dresden.de

Benjamin Schäfer, Dr. rer. nat.

Benjamin Schäfer is continuing an academic career as a Marie Skłodowska-Curie Research Fellow working at Queen Mary University of London. In his recent DAMOSET project: "With data-driven modelling towards a successful energy transition", he is analyzing time series of various real-world systems and applying stochastic modelling to better understand the energy system.
https://www.qmul.ac.uk/maths/profiles/schaeferb.html

e-mail: benjamin.schaefer@tu-dresden.de