Dr Nikolaos Fountoulakis MEng MSc DPhil

Dr Nikolaos Fountoulakis

School of Mathematics
Reader in Probabilistic Combinatorics

Contact details

Telephone
+44 (0) 121 414 6188
Email
n.fountoulakis@bham.ac.uk
Address
School of Mathematics
Watson Building
University 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK

Nikolaos's research is motivated by mechanisms that describe the structure and the evolution of networks (particularly mathematical models used in order to describe networks which emerge in applications). In this context, he studies also processes, which describe the dissemination of information within a network. Randomness is the key feature that underlies these themes. His research has been funded by the Engineering and Physical Sciences Research Council (EPSRC) as well as by the European Commission and the Alan Turing Institute.

Qualifications

  • DPhil in Mathematics, University of Oxford, 2003
  • MSc in Mathematics, University of Oxford, 2000
  • MEng in Computer Engineering and Informatics, University of Patras, 1999

Biography

School of Mathematics, University 麻豆精选


  • 2018-present  Reader in Probabilistic Combinatorics
  • 2016-2018 Senior Lecturer in Combinatorics
  • 2011-2016 Lecturer in Combinatorics

Postdoctoral experience

  • 2008-2011 Postdoctoral researcher and Marie Curie Fellow Max Planck Institute for Informatics, Saarbrücken, Germany
  • 2006-2008 Postdoctoral researcher, School of Mathematics, University 麻豆精选
  • 2003-2004 Postdoctoral researcher, School of Computer Science, McGill University

Teaching

Semester 1

LH/LM Randomness and Computation

Semester 2

LM Stochastic Processes

Postgraduate supervision

Nikolaos is interested in supervising PhD students in random graph models, structural theory and stochastic processes.

Research

Research Themes

  • Combinatorics
  • Random structures
  • Stochastic processes on random graphs

Research Activity

Nikolaos's research focuses on the use of randomness in order to investigate and explain the structure of networks which emerge in applications. He is interested in the probabilistic analysis of geometric mechanisms which explain the structure and the evolution of large complex networks.

Publications

Recent publications

Article

Fountoulakis, KN, Alias, NA, Bjedov, S, Fountoulakis, NK, Gonda, X, Hilbig, J, Jakovljevi膰, M, Kulig, B, Mahale, G, Manafis, A, Mohammed, M, Nadareishvili, I, Navickas, A, Patsali, ME, Pavlichenko, A, Pilaga, SM, Razali, S, Romanov, D, Rossitza, I, Salihu, AS, Sinauridze, A, Stoyanova, M, Thosar, K, Vorobjova, J, Vrublevska, J, Rancans, E, Javed, A, Theodorakis, PN, Breda, J & Smirnova, D 2024, '', Frontiers in Psychiatry, vol. 14, 1320156.

Fountoulakis, N, Amini, H & Panagiotou, K 2023, '', Journal of Applied Probability.

Chellig, J, Durbac, C & Fountoulakis, N 2022, '', Games and Economic Behaviour, vol. 131, pp. 141-170.

Fountoulakis, N & Iyer, T 2022, '', Electronic Journal of Probability, vol. 27, 76.

Fountoulakis, N, Iyer, T, Mailler, C & Sulzbach, H 2022, '', Annals of Applied Probability, vol. 32, no. 4, pp. 2860-2913.

Fountoulakis, N, Joos, F & Perarnau, G 2022, '', SIAM Journal on Discrete Mathematics, vol. 36, no. 1, 1鈥�46.

Chellig, J, Fountoulakis, N & Skerman, F 2022, '', Journal of Complex Networks, vol. 10, no. 1, cnab051.

Fountoulakis, N & Przykucki, M 2021, '', Random Structures and Algorithms.

Fountoulakis, N, Muller, T, Schepers, M & van der Hoorn, P 2021, '', Electronic Journal of Probability, vol. 26, pp. 1-132.

Fountoulakis, N, Muller, T, Mitsche, D & Schepers, M 2020, '', Stochastic Processes and their Applications, vol. 131, pp. 340-358.

Fountoulakis, N & Yukich, J 2020, '', Electronic Journal of Probability, vol. 25, 141, pp. 1-51.

Fountoulakis, N, Kang, M & Makai, T 2020, '', Random Structures and Algorithms, vol. 57, no. 4, pp. 1134-1156.

Fountoulakis, N, Kang, M & Makai, T 2020, '', Random Structures and Algorithms, vol. 57, no. 4, pp. 1134-1156.

Fountoulakis, N, Kang, M, Koch, C & Makai, T 2018, '', Annals of Applied Probability, vol. 28, no. 2, pp. 990-1051. <>

Fountoulakis, N & Muller, T 2018, '', Annals of Applied Probability, vol. 28, no. 1, pp. 607-650.