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■Introduction and Overview

About Dr Peyman Ghaffari*:

Dr Ghaffari received his Ph.D. in Mathematical-Physics (Non-linear Dynamics and Com-

plex Systems) at Imperial College London (UK) in 1997. He also received his German

Diploma in Physics (Dipl. -Phys.) 1993 in Theoretical Plasma Physics at Heinrich Heine

University Düsseldorf (Germany). After completing his Ph.D. at Imperial College London,

he worked as an industrial consultant for years focusing on establishing Joint-Ventures

between International companies wanting to penetrate the European and Middle Eastern

markets. In 2006 Dr Ghaffari returned to academia as a visiting/associate scientist at Impe-

rial College London, parallel to his consultancy. In 2007 he co-founded the “Complexity

and Interdisciplinary Research Centre (CIRC)” at Imperial College London providing a

platform to transmit the ideas of “Complexity Research” into Industry. Since March 2010

until Dec 2018, he has worked at the University of Lisbon in the Biomathematics and

Statistics Group and has participated in several scientific projects resulting in scientific

articles. Since 2020 he is continuing his research as an associate researcher at CIDMA

("Center for Research and Development in Mathematics and Applications", University of

Aveiro, Portugal). In June 2017 he won the prestigious EU - COST Grant (CA16227) as

proposal writer (estimates for 4.5 years circa 570.000 Euro). Since September 2017 he

has been the Chair of this Action with the acronym IMAAC ("Investigation and Math-

ematical Analysis of Avant-garde Disease Control via Mosquito Nano-Tech-Repellents",

www.imaac.eu) with around 100 members from about 35 countries involved. He also

founded 2018 a yearly Training School (“International Training School on Optimal Control

Theory and Mosquito Control Strategies”) and a conference in 2019 on “Political Decision

Making and Vector-Borne Diseases” aiming to bring political decision makers and sci-

entists together. Dr Ghaffari is working now on application of Optimal Control Theory

on deterministic and stochastic epidemiological models. Other scientific interests include

Complex Systems, Self-Organization, Fractional Derivatives, Neuronal Networks and In-

dustrial Mathematics.

* e-mail: [email protected]