Pedro Lind

Pedro Gonçalves Lind (født 23. mars 1976 i Lisboa) er en tysk-portugisisk fysiker og professor ved Institutt for informasjonsteknologi ved Oslomet – storbyuniversitetet. Han er også nestleder ved Oslomet Artificial Intelligence Lab (AI Lab).

Linds fremste forskningsinteresser er stokastisk modellering, komplekse ikke-lineære systemer, maskinlæring, avansert statistikk og dataanalyse, optimaliseringsmetoder og stabilitetsanayse, samt modellering og simulering av prosesser innenfor fagområdene fornybar energi, finans, biologi og samfunnsfag.

Utdanning og yrkeskarriere  
I 2003 fikk Lind en doktorgrad i matematisk fysikk fra universitetet i Lisboa. Året etter ble han ansatt som postdoktor ved Institutt for beregningsfysikk ved universitetet i Stuttgart, der han senere ble forfremmet til forsker. I 2007 tok han så en forskerstilling ved det tyske forskningsrådet Deutsche Forschungsgemeinschaft , og året etter tiltrådte han nok en forskerstilling - denne gangen ved universitetet i Lisboa. Deretter arbeidet han som forsker ved henholdsvis universitetet i Oldenburg og universitetet i Osnabrück, før han ble ansatt som professor ved Oslomet – storbyuniversitetet i 2019.

Utmerkelser 
I 2009 ble Lind utnevnt til Outstanding Referee av American Physical Society (APS). Utmerkelsen gis til forskere som har gjort en ekstraordinær innsats som fagfelle for tidsskrifter utgitt av APS.

Vitenskapelige publikasjoner 
Et utvalg av Linds publikasjoner:

 Krohn, Otthar; Varankian, Vako; Lind, Pedro; Melo, Gustavo (2020). Implementation of an inexpensive eye-tracking system for educational purposes. Stepahnidis, C.; Antona, M. (Ed.). Universal Access in Human-Computer Interaction, Applications and Practice. Article. p. 60-78. Springer Nature.

 Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality. Castillo, Pedro A.; Laredo, Juan Luis Jiménez; de Vega, Francisco Fernández (Ed.). Applications of Evolutionary Computation. p. 133-148. Springer.

 Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (2020). A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality. Cognitive Neurodynamics.

 Kampers, Gerrit; Waechter, Matthias; Hoelling, Michael; Lind, Pedro; Queiros, Silvio D.A.; Peinke, Joachim (2020). Disentangling stochastic signals superposed with periodic oscillations. Physics Letters A. Vol. 384.

 Fuchs, Andre; Queiros, Silvio D.A.; Lind, Pedro; Girard, Alain; Bouchet, Freddy; Wächter, Matthias; Peinke, Joachim (2020). Small scale structures of turbulence in terms of entropy and fluctuation theorems. Physical Review Fluids. Vol. 5.

 Garcia, Constantino; Lind, Pedro; Wächter, Matthias; Otero, Abraham; Peinke, J. (2019). ON THE EXISTENCE AND CHARACTERIZATION OF EXTREME EVENTS IN WIND DATA. EUROPEAN CONFERENCE ON RENEWABLE ENERGY SYSTEMS ECRES 2019. N.A.. p. 320-327.

 Sim, So-Kumneth; Maass, Philipp; Lind, Pedro (2019). Wind Speed Modeling by Nested ARIMA Processes. Energies.

 Schmietendorf, Katrin; Kamps, Oliver; Wolff, Matthias; Lind, Pedro; Maass, Philipp; Peinke, Joachim (2019). Bridging between load-flow and Kuramoto-like power grid models: A flexible approach to integrating electrical storage units. Chaos. Vol. 29.

 Wolff, Matthias; Schmietendorf, Katrin; Lind, Pedro; Kamps, Oliver; Peinke, Joachim; Maass, Philipp (2019). Heterogeneities in electricity grids strongly enhance non-Gaussian features of frequency fluctuations under stochastic power input. Chaos. Vol. 29.

 Sequeira, Joao; Louca, Jorge; Mendes, Antonio; Lind, Pedro (2019). Transition from endemic behavior to eradication of malaria due to combined drug therapies: an agent-model approach. Journal of Theoretical Biology. Vol. 484.

 Richter, Yvonne; Lind, Pedro; Maass, Philipp (2018). Optimized adjustment of a reaction-diffusion model to case-specific atrial physiology. PLOS ONE.

 Traphan, Dominik; Wester, Tom; Gülker, Gerd; Peinke, Joachim; Lind, Pedro (2018). Aerodynamics and percolation: unfolding the laminar separation bubble on airfoils. Physical Review X.

 Wolff, Matthias; Lind, Pedro; Maass, Philipp (2018). Influence of heterogeneities in the frequency stability of power grids. Chaos.

 Scholz, Teresa; Raischel, Frank; Lopes, Vitor; Lehle, Bernd; Wächter, Matthias; Peinke, Joachim; Lind, Pedro (2017). Parameter-free resolution of the superposition of stochastic signals. Physics Letters A. Vol. 381.

 Richter, Yvonne; Lind, Pedro; Seemann, Gunnar; Maass, Philipp (2017). Anatomical and spiral wave reentry in a simplified model for atrial electrophysiology. Journal of Theoretical Biology. Vol. 419.

 Curral, Luis; Leitao, Paulo; Gomes, Catarina; Marques-Quinteiro, Pedro; Lind, Pedro (2017). How complexity leadership and cohesion influence team effectiveness. Rev. Psicol., Organ. Trab. Vol. 17.

 Schiel, Christoph; Lind, Pedro; Maass, Philipp (2017). Influence of intermittency of wind power on the statistics of transmission line outages in power grids. Scientific Reports. Vol. 7.

 Estevens, Joana; Rocha, Paulo; Boto, Joao; Lind, Pedro (2017). Stochastic modelling of non-stationary financial assets. Chaos. Vol. 27.

 Lind, Pedro; Vera-Tudela, Luis; Wächter, Matthias; Kühn, Martin; Peinke, Joachim (2017). Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach. 14 p. Energies. Vol. 10.

 Richter, Yvonne; Lind, Pedro; Lenk, Claudia; Seemann, Gunnar; Maass, Philipp (2017). Optimized adjustment of a reaction-diffusion model to case-specific atrial physiology: towards clinical implementation. Computing in cardiology.

 Hadjihossein, Ali; Lind, Pedro; Mori, Nobuhito; Hoffmann, Norbet; Peinke, Joachim (2017). Rogue waves and entropy consumption. Europhysics letters.

 Mendes, Maria; Gomes, Catarina; Marques-Quinteiro, Pedro; Lind, Pedro; Curral, Luis (2016). Promoting learning and innovation in organizations through complexity leadership theory. Team Performance Management. Vol. 22.

 Lencastre, Pedro; Raischel, Frank; Boto, Joao; Lind, Pedro (2016). From empirical data to time-inhomogeneous continuous Markov processes. Physical review. E. Vol. 93.

 Rocha, Paulo; Raischel, Frank; Boto, Joao; Lind, Pedro (2016). Uncovering the evolution of non-stationary stochastic variables: the example of asset volume-price fluctuations. Physical Review E. Statistical, Nonlinear, and Soft Matter Physics. Vol. 93.

 Rinn, Philip; Lind, Pedro; Wächter, Matthias; Peinke, Joachim (2016). The Langevin Approach: An R Package for Modeling Markov Processes. Journal of Open Research Software (JORS). Vol. 4.

 Curral, Luis; Marques-Quinteiro, Pedro; Gomes, Catarina; Lind, Pedro (2016). Leadership as an emergent system: Insights from a laboratory experiment. PLOS ONE. Vol. 11.

En fullstendig liste over Linds publikasjoner finnes på OsloMets ansattside.

Referanser

Eksterne lenker 
 

Professorer ved Oslomet – storbyuniversitetet
Portugisiske fysikere
Personer fra Lisboa