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Peyman Ghaffari. Published 8 articles in journals.
Identification

Personal identification

Full name
Peyman Ghaffari

Citation names

  • Ghaffari, Peyman

Author identifiers

Ciência ID
2A14-004B-C5C3
ORCID iD
0000-0003-3891-5305

Telephones

Mobile phone
  • 964484092 (Personal)

Addresses

  • Rua Tamisa 3, 4B, 1990-518, Lisbon, Lisbon, Portugal (Personal)

Websites

Knowledge fields

  • Exact Sciences - Mathematics - Statistics and Probability
  • Exact Sciences - Mathematics - Applied Mathematics

Languages

Language Speaking Reading Writing Listening Peer-review
German (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Iranian (Other) (Mother tongue)
Portuguese Beginner (A1) Beginner (A1) Beginner (A1) Beginner (A1)
Education
Degree Classification
1994/09/01 - 1997/03/01
Concluded
 Complex Systems (Doktor (PhD))
Major in Mathematical Physics
Imperial College London Department of Mathematics, United Kingdom
Affiliation

Others

Category
Host institution 		Employer
2019/01/01 - Current Collaborator Universidade de Aveiro Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Portugal
Universidade de Aveiro Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Portugal
Projects

Grant

Designation Funders
2016/06/01 - 2021/10/01 Investigation and Mathematical Analysis of Avant-garde Disease Control via Mosquito Nano-Tech-Repellents
CA 16227
Principal investigator
European Cooperation in Science and Technology, Belgium
Ongoing
Outputs

Publications

Conference paper
  1. Nico Stollenwerk; Thomas Götz; Luis Mateus; Putra Wijaya; David Willems; Urszula Skwara; Ramona Marguta; Peyman Ghaffari; Maíra Aguiar. "Modelling spatial connectivity in epidemiological systems, dengue fever in Thailand on networks from radiation models". 2016.
    10.1063/1.4952185
  2. Ghaffari, Peyman. "Using Optimal Control Theory with Mosquito Repellents and Vaccination Applied to Dengue Disease Prevention and Reduction Managment, a First Toy Study with Analytically Treatable Models". 2016.
  3. Ghaffari, Peyman. "Power law jumps and power law waiting times, fractional calculus and human mobility in epidemiological systems". 2015.
  4. Skwara, U.; Martins, J.; Ghaffari, P.; Aguiar, M.; Boto, J.; Stollenwerk, N.. "Applications of fractional calculus to epidemiological models". 2012.
    10.1063/1.4756403
  5. Peyman Ghaffari; Nico Stollenwerk. "Evolution of N-species Kimura/voter models towards criticality, a surrogate for general models of accidental pathogens". 2012.
    10.1063/1.4756401
Journal article
  1. Ghaffari, Peyman. "COST Action “Investigation and Mathematical Analysis of Avant-garde Disease Control via Mosquito Nano-Tech- Repellents” (IMAAC) CA16227 (2017—2021)". (2019): https://doaj.org/article/21f02b5d0e0748a9b7f863c6501b5dff.
  2. Stollenwerk, N.; Sommer, P.F.; Kooi, B.; Mateus, L.; Ghaffari, P.; Aguiar, M.. "Hopf and torus bifurcations, torus destruction and chaos in population biology". Ecological Complexity 30 (2017): 91-99. http://www.scopus.com/inward/record.url?eid=2-s2.0-85008474537&partnerID=MN8TOARS.
    10.1016/j.ecocom.2016.12.009
  3. Mateus, L.; Masoero, D.; Rocha, F.; Aguiar, M.; Skwara, U.; Ghaffari, P.; Zambrini, J.C.; Stollenwerk, N.. "Epidemiological models in semiclassical approximation: an analytically solvable model as a test case". Mathematical Methods in the Applied Sciences 39 16 (2016): 4914-4922. http://www.scopus.com/inward/record.url?eid=2-s2.0-84990841939&partnerID=MN8TOARS.
    10.1002/mma.4108
  4. Stollenwerk, N.; Mateus, L.; Rocha, F.; Skwara, U.; Ghaffari, P.; Aguiar, M.. "Prediction and Predictability in Population Biology: Noise and Chaos". Mathematical Modelling of Natural Phenomena 10 2 (2015): 142-165. http://www.scopus.com/inward/record.url?eid=2-s2.0-84927639126&partnerID=MN8TOARS.
    10.1051/mmnp/201510210
  5. Mateus, L.; Ghaffari, P.; Skwara, U.; Rocha, F.; Aguiar, M.; Masoero, D.; Stollenwerk, N.. "Semiclassical approximations of stochastic epidemiological processes towards parameter estimation using as prime example the SIS system with import". Ecological Complexity (2015): http://www.scopus.com/inward/record.url?eid=2-s2.0-84944096595&partnerID=MN8TOARS.
    10.1016/j.ecocom.2015.09.001
  6. Ghaffari, Peyman. "Chaos and noise in population biology: modelling dengue fever and data analysis, multi-strain dynamics, mosquitos and climate". CMMSE (2014):
  7. Ghaffari, Peyman. "Semiclassical approximations of stochastic epidemiological processes towards parameter estimation". (2013):
  8. Ma{\'{\i. "How much complexity is needed to describe the fluctuations observed in dengue hemorrhagic fever incidence data?". Ecological Complexity 16 (2013): 31-40. http://dx.doi.org/10.1016/j.ecocom.2012.09.001.
    10.1016/j.ecocom.2012.09.001
  9. Peyman Ghaffari; Vincent Jansen; Nico Stollenwerk; Theodore E. Simos; George Psihoyios; Ch. Tsitouras; Zacharias Anastassi. "Evolution Towards Critical Fluctuations in a System of Accidental Pathogens". (2011): http://dx.doi.org/10.1063/1.3637847.
    10.1063/1.3637847
  10. Peyman Ghaffari; Stefano Lise; Henrik Jeldtoft Jensen. "Nonconservative sandpile models". Phys. Rev. E 56 6 (1997): 6702-6709. http://dx.doi.org/10.1103/physreve.56.6702.
    10.1103/physreve.56.6702
  11. Ghaffari, P.; Lise, S.; Jensen, H.J.. "Nonconservative sandpile models". Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics 56 6 (1997): 6702-6709. http://www.scopus.com/inward/record.url?eid=2-s2.0-0000530435&partnerID=MN8TOARS.
    10.1103/PhysRevE.56.6702