Kosmas Kosmidis

Kosmas Kosmidis (Area: Computational Physics), Physics Department, A.U.Th.

E-mail: kosmask@auth.gr

Dr. Kosmas Kosmidis has a background in computational physics and systems biology. Currently, he serves as Special Teaching Personnel (EDIP) at the Physics Department of A.U.Th, Greece, where he has been actively contributing since 2015. His academic credentials include a Ph.D. in Computational Physics from A.U.Th, Greece, earned in 2006. His dissertation, titled “Random walk applications in Physical Systems,” received an excellent grade of 10/10. Dr. Kosmidis had earlier achieved a Master of Science in Materials Physics from A.U.Th in 2002 and a Bachelor of Science in Physics from the University of Ioannina, Greece, in 1990.

His professional journey includes a postdoctoral fellowship in Computational Systems Biology at Jacobs University Bremen, Germany (2013 – 2015). Prior to this, he held positions as a Research Associate and Software Engineer at the Computing and Communications Center of A.U.Th (2008–2013). Additionally, he served as a Postodoctoral Researcher at Universität Giessen, Germany, at the Institut für Theoretische Physik III (2006 – 2008). Dr. Kosmidis commenced his research career as a Researcher at the Physics Department of A.U.Th in 1998. He also participated as a researcher at the H.F.R.I-funded project titled “Latent Aspects of L2 Acquisition,” led by Assistant Prof. Alexandros Tantos (2021 – 2023; http://lal2a.lit.auth.gr).

Dr. Kosmidis has been an active contributor to peer-reviewed journals. His research has been supported by various grants and projects, including those from NATO, the Greek Secretariat of Research and Technology, and the European Commission. He has made significant contributions to the field, with his research findings reflected in over 2000 citations and an h-index of 20. Notable publications include articles on the dimension of spatially embedded networks, language evolution and population dynamics, language time series analysis, and a random matrix approach to language acquisition.

Role in GRADIENCE: Dr. Kosmidis is engaged in the Part-of-Speech (PoS) annotation of HelexKids and the extraction of noun stress frequences, contributes to the development of the Wordlist tool tailored for educators, and actively contributes to the development and testing of both the Machine Learning (ML) and Gradient Harmonic Grammar (GHG) algorithms.  He also participates in the publication process of the anticipated research outcomes.