Research Profile

Philipp Hoevel

Biography

Dr. Philipp Hoevel is a trained mathematician and physicist. His research mission is to lift the boundaries between data-oriented science, theoretical approaches, and numerical simulations addressing interdisciplinary questions based on an overlap of nonlinear dynamics, network science, and control theory. 

His areas of mathematical expertise include complex systems, bifurcation theory, delay differential equations, and complex networks. Besides mathematical modeling and analytical investigations, he has always looked for experimental validation of his theoretical findings and a combination of the models with empirical data. His interdisciplinary research concept has led to better insight and fundamental understanding of synchronization processes and other dynamical phenomena. In addition, the combination with empirical data sets will allow for investigations of real-world relevance in areas such as neuroscience, epidemiology, and beyond.

Google Scholar Profile: https://scholar.google.de/citations?user=1rkcZPAAAAAJ&hl=en

Research Interests

Dr. Hoevel's research areas are located in the field of nonlinear dynamics and control with strong connections to neuroscience and contagion processes. Special attention is given to:
  • synchronization
  • effects of time delay
  • stochastic dynamical systems
  • network dynamics
  • control on/of networks, controlability of networks
  • temporal networks
  • spreading processes (epidemics, contagion)
  • mathematical neuroscience

Publications

Books

 YearPublication
(2010)Control of Complex Nonlinear Systems with Delay.
P. Hövel (2010) Control of Complex Nonlinear Systems with Delay. Heidelberg: Springer.   [DOI] [Details]

Book Chapters

 YearPublication
(2018)'Capturing the Dynamics of Hashtag-Communities'
P. Lorenz, F. Wolf, J. Braun, N. Djurdjevac Conrad P. Hövel (2018) 'Capturing the Dynamics of Hashtag-Communities' In: C. Cherifi, H. Cherifi, M. Karsai, M. Musolesi (eds). Complex Networks & Their Applications VI. Cham: Springer. [DOI] [Details]
(2017)'Surveillance for Outbreak Detection in Livestock-Trade Networks'
F. Schirdewahn, V. Colizza, H.H.K. Lentz, A. Koher, V. Belik, P. Hövel (2017) 'Surveillance for Outbreak Detection in Livestock-Trade Networks' In: N. Masuda, P. Holme (eds). Temporal Network Epidemiology. Theoretical Biology. Singapore: Springer. [DOI] [Details]

Edited Books

 YearPublication
(2016)Control of self-organizing nonlinear systems
E. Schöll, S.H.L. Klapp, P. Hövel (Ed.). (2016) Control of self-organizing nonlinear systems Berlin: Springer.   [DOI] [Details]

Peer Reviewed Journals

 YearPublication
(2019)'Characterizing Complex Networks Using Entropy-Degree Diagrams: Unveiling Changes in Functional Brain Connectivity Induced by Ayahuasca'
A. Viol, F. Palhano-Fontes, H. Onias, D. B. de Araujo, P. Hövel and G. M. Viswanathan (2019) 'Characterizing Complex Networks Using Entropy-Degree Diagrams: Unveiling Changes in Functional Brain Connectivity Induced by Ayahuasca'. Entropy, 21 (2) [DOI] [Details]
(2019)'Contact-Based Model for Epidemic Spreading on Temporal Networks'
A. Koher, H. H. K. Lentz, J. P. Gleeson, and P. Hövel (2019) 'Contact-Based Model for Epidemic Spreading on Temporal Networks'. Physical Review X, 9 [DOI] [Details]
(2019)'Accelerating dynamics of collective attention'
P. Lorenz-Spreen, B. Moch Monsted, P. Hövel, and S. Lehmann (2019) 'Accelerating dynamics of collective attention'. Nature Communications, 10 [DOI] [Details]
(2018)'Synchronization in functional networks of the human brain'
P. Hövel, A. Viol, P. Loske, L. Merfort, V. Vuksanović (2018) 'Synchronization in functional networks of the human brain'. Journal of Nonlinear Science, :1-24 [DOI] [Full Text] [Details]
(2018)'Chimera States in Networks of Type-I Morris-Lecar Neurons'
A. Calim, P. Hövel, M. Ozer, and M. Uzuntarla (2018) 'Chimera States in Networks of Type-I Morris-Lecar Neurons'. Physical Review E, 98 [DOI] [Details]
(2018)'Vibrational resonance in a scale-free network with different coupling schemes'
S. N. Agaoglu, A. Calim, P. Hövel and Mahmut Ozer, and M. Uzuntarla (2018) 'Vibrational resonance in a scale-free network with different coupling schemes'. Neurocomputing,   [DOI] [Details]
(2018)'Tracking online topics over time: understanding dynamic hashtag communitie'
P. Lorenz-Spreen, F. Wolf, J. Braun, G. Ghoshal, N. Djurdjevac Conrad, and P. Hövel (2018) 'Tracking online topics over time: understanding dynamic hashtag communitie'. 5 (1) [DOI] [Details]
(2018)'Robustness of Chimera States in Nonlocally Coupled Networks of Nonidentical Logistic Maps'
A.-K. Malchow, I. Omelchenko, E. Schöll, and P. Hövel (2018) 'Robustness of Chimera States in Nonlocally Coupled Networks of Nonidentical Logistic Maps'. Physical Review E, 98 [DOI] [Details]
(2017)'Identifying and modeling the structural discontinuities of human interactions'
S. Grauwin, M. Szell, S. Sobolevsky, P. Hövel, F. Simini, M. Vanhoof, Z. Smoreda, A.-L. Barabási, and C. Ratti (2017) 'Identifying and modeling the structural discontinuities of human interactions'. Scientific Reports, 7 [DOI] [Details]
(2017)'Effective Distances for Epidemics Spreading on Complex Networks'
F. Iannelli, A. Koher, D. Brockmann, P. Hövel, and I. M. Sokolov (2017) 'Effective Distances for Epidemics Spreading on Complex Networks'. Physical Review E, 95 (1) [DOI] [Details]
(2017)'Modeling functional connectivity on empirical and randomized structural brain networks'
S. Bayrak, P. Hövel, and V. Vuksanovic (2017) 'Modeling functional connectivity on empirical and randomized structural brain networks'. Differential Equations, :1-17 [DOI] [Details]
(2017)'Chimera states in multi-strain epidemic models with temporary immunity'
L. Bauer, J. Bassett, P. Hövel, Y. N. Kyrychko, and K. B. Blyuss (2017) 'Chimera states in multi-strain epidemic models with temporary immunity'. Chaos, 27 (11) [DOI] [Details]
(2017)'Multi-clustered chimeras in large semiconductor laser arrays with nonlocal interactions'
J. Shena, J. Hizanidis, P. Hövel, and G. P. Tsironis (2017) 'Multi-clustered chimeras in large semiconductor laser arrays with nonlocal interactions'. Physical Review E, 96 (3) [DOI] [Details]
(2017)'Chimera patterns in two-dimensional networks of coupled neurons'
A. Schmidt, T. Kasimatis, J. Hizanidis, A. Provata, and P. Hövel (2017) 'Chimera patterns in two-dimensional networks of coupled neurons'. Physical Review E, 95 (3) [DOI] [Details]
(2017)'Chimeras in leaky integrate-and-fire neural networks: effects of reflecting connectivities'
N. D. Tsigkri-DeSmedt, J. Hizanidis, E. Schöll, P. Hövel, and A. Provata (2017) 'Chimeras in leaky integrate-and-fire neural networks: effects of reflecting connectivities'. The European Physical Journal B, 90 (7) [DOI] [Details]

Professional Activities

Employment

 EmployerPositionFrom / To
University College Cork Lecturer20-AUG-18 /
Technische Universität Berlin Gastprofessor01-OCT-17 / 19-AUG-18
Technische Universität Berlin Gastdozent01-MAY-17 / 30-SEP-17
Technische Universität Berlin Principle Investigator01-JAN-15 / 31-DEC-18
Northeastern University, Boston Postdoctoral Researcher01-JUL-11 / 30-JUN-13
Technische Universität Berlin Junior Research Group Leader07-FEB-11 / 31-MAY-15

Committees

 CommitteeFunctionFrom / To
Graduate Studies Committee Member/
Financial Mathematics & Actuarial Science (FMAS) Member/

Professional Associations

 AssociationFunctionFrom / To
Deutsche Physikalische Gesellschaft (German Physical Society, DPG) Member/
Irish Mathematical Society Member/
Network Science Society Member/

Education

 YearInstitutionQualificationSubject
2017Technische Universität Berlin HabilitationSynchronization, desynchronization, and hybrid states: nonlinear dynamics on networks
2009Technische Universität Berlin Dr. rer. nat.Control of complex nonlinear systems with delay
2006Technische Universität Berlin Diplom (Mathematics)Matrix models related to the quantum-Hall effect
2004Technische Universität Berlin Diplom (Phyics)Effects of chaos control and latency in time-delay feedback methods

Teaching Activities

Teaching Interests

Since the start of his academic career, an excellent teaching performance has been very important to Dr. Hoevel. He has taught the full spectrum of theoretical physics and lectured at undergraduate and graduate levels (future high-school teachers, diploma, BSc, and MSc students). In addition, he has designed  new courses on advanced topics such as nonlinear dynamics, network science or epidemiology.

His teaching concept provides not only technical knowledge and methodological skills, but also promotes soft skills and social competences. He firmly believes that he development of these skill sets are a crucial condition for successful research and a promising career in general; be it in science, academia, or a different sector.

List of modules:
  • Mechanics I (AM1021)
  • Numerical Methods and Programming (AM2032)
  • Computer Modelling and Numerical Techniques (AM2061)
  • Fourier Methods (AM2071)
  • Computational Techniques (AM3064)
  • Network Science: Theory and Applications (AM4065)
  • Projects (AM4090)
  • Applied Mathematics Projects (AM4091)
  • Computational Techniques with Networks (AM6015)
  • Complex and Neural Networks (AM6017)
  • Mechanics I (MS2017)

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School of Mathematical Sciences

Eolaíochtaí Matamaiticiúla

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