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Global Faculty Program / Gastwissenschaftler*innen

Auf dieser Seite sind alle Gastwissenschaftler und Gastwissenschaftlerinnen aufgeführt, die an dem Kernprofilbereich "Intelligente Methoden für Erdsystemwissenschaften" beteiligt sind. Das KPA unterstützt Forschungsaufenthalte von Gastwissenschaftler*innen in Köln - insbesondere über das Global Faculty Programm der Universität zu Köln.

NameInstitutFachbereichMitglied im Global Faculty ProgrammAufenthalte in Köln
Artur CzumajUniversity of Warwick, UKInformatik - Algorithmische Datenanalyse, ...01.01.2023 - 31.12.2025 
Pavlos KolliasSchool of Marine and Atmospheric Sciences, of Stony Brook University (NY, USA)Atmosphären Wissenschaft / Meteorologie01.07.2025 - 30.06.2026 
Rita BorgoKing's College London, UKInformatik - Data Visualisation, Visual Analytics,... 20.08.2023 - 20.09.2023

Artur Czumaj is Professor at the Department of Computer Science and Director of Centre for Discrete Mathematics and its Applications (DIMAP) - University of Warwick, United Kingdom. 

  • PhD (1995), Habilitation (1999) from the University of Paderborn
  • President of the European Association for Theoretical Computer Science
  • past Chair of the London Mathematical Society (LMS) Computer Science Committee
  • Research funded by the Engineering and Physical Sciences Research Council (EPSRC), the National Science Foundation (NSF), the Royal Society, European Union, the Simons Foundation, and IBM

His research interest is fundamental computer science:

  • design of randomized algorithms and
  • analysis of large data

with the settings:

  • parallel and distributed computing
  • streaming and sublinear algorithms
  • game theory/economic

Read more

Read more at UoC Global Faculty - Prof.Dr. Artur Czumaj


 

Pavlos Kollias is 

Professor at the School of Marine and Atmospheric Sciences, of Stony Brook University – State University of New York

Atmospheric Scientist, Department of Environmental Sciences, Brookhaven National Laboratory, Upton NY

Pavlos Kollias has spent twenty five years at the cutting edge of atmospheric experimentation. Kollias is internationally recognized as one of the leading thinkers in the use of radars for the study of atmospheric phenomena. He is interested in radar engineering, signal processing, smart sensors, instrumentation, and participates in several national and international projects that involve the development and application of novel phased array and spaceborne radars for weather and climate research. Prior to being hired as a joint appointment at Stony Brook University and Brookhaven National Laboratory, Kollias was a prestigious Canada Research Chair and Professor at McGill University, Montreal Canada. He have authored and co-authored over 200 peer-reviewed scientific articles, and I am the recipient of a Humboldt Research Fellowship from Germany in 2013 and of the AGU Atmospheric Sciences Ascent Award in 2020.

Expertise

  • Cloud and Precipitation microphysics and dynamics
  • Boundary layer turbulence
  • Radar technology and meteorology
  • Sensor fusion and agile adaptive sensing
  • Satellite remote sensing

Education

  • Ph.D. in Meteorology, University of Miami, 2000.
  • M.S. in Atmospheric Science, The University of Athens, Greece, 1996.
  • B.S. in Physics, The University of Athens, Greece, 1994.

Read more at Stony Brook University 

Read more at Brookhaven National Laboratory

Read more at UoC Global Faculty - Prof.Dr. Pavlos Kollias


 

Dr Rita Borgo is Head of Human Centred Computing Group (HCC), Informatics Department, King's College London, London, United Kingdom. 

  • Ph.D. in Computer Science. Thesis title “Dealing with Massive Volumetric Visualization: Progressive Algorithms and Data Structures”. Università di Pisa, Pisa,IT
  • HEA Fellowship, awarded on May 9, 2019
  • Champion of Urban Living Hub. Informatics Department, King’s College London, London , UK.
  • Deputy Director Centre for Urban Science and Progress (CUSP) - London. King’s College London, London , UK.
  • Reader in Data Visualization. Informatics Department, King’s College London, London , UK.

Research Interests:

  • Data analytics with emphasis on mining and visualisation of large multidimensional/multivariate time series
  • Visualization for explainable AI
  • Urban informatics,visualization design promoting human-data interaction with focus on perception, cognition and usability
  • High Performance Computing applied to Big Data analytics
  • Augmented Reality and multimedia visualisation
  • Applications in theoretical physics, environmental sciences and climatology, digital humanities and healthcare

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