Research in Environmental Sciences

The Direction ‘Research in Environmental Sciences‘ of the M.Sc. in Global Environmental Change, Management & Technology was established in 2019 and aims to train students in environmental sciences through taught courses and applied research (90 ECTS) and lasts for a minimum of three academic semesters (October 2019- February 2021).

For non-Greek nationals, please also check here about the necessary procedures for enrolling to the course.

2021:

• Botetzagias I. & Kostopoulos G. (2021) “For the Thorough Conservation of the Forests”: A History of Forest Management and Protection in “Old Greece,” 1830–1880. Journal of Modern Greek Studies, 39(1): 93-116

2020:

• Stefanatou, A., Dimitrakopoulos, P.G., Aloupi, M., Adamidis, G.C., Nakas, G., & Petanidou, T. (2020). From bioaccumulation to biodecumulation: Nickel movement from Odontarrhena lesbiaca (Brassicaceae) individuals into consumers. Science of the Total Environment, 747, 141197, https://doi.org/10.1016/j.scitotenv.2020.141197.
• Antonopoulos, G., Skanavis, C. 2020. Promoting an environmental awareness centre to enhance educational activities in Linaria port, Skyros. International Journal of Green Economics, 14(2), pp. 95-107.
• Troumbis I.A., Tsekouras G.E., Tsimikas J., Kalloniatis C. & Haralambopoulos D. (2020.) A Chebyshev polynomial feedforward neural network trained by differential evolution and its application in environmental case studies. Environmental Modelling & Software
• Kora E., Theodorelou D., Gatidou G., Fountoulakis M.S., Stasinakis A.S. (2020) Removal of polar micropollutants from domestic wastewater using a methanogenic – aerobic Moving Bed Biofilm Reactor system. Chemical Engineering Journal, 382, 122983.

2018:

• Troumbis I., Tsekouras G., Kalloniatis Chr., Papachiou P. & Haralambopoulos D. (2018) Modeling Data Center Temperature Profile in Terms of a First Order Polynomial RBF Network Trained by Particle Swarm Optimization. Artificial Neural Networks and Machine Learning- International Conference on Artificial Neural Networks 2018, 587-595.
• Anagnostopoulos T., Skouloudis A., Khan N. and Evangelinos K. (2018), Incorporating Sustainability Considerations into Lending Decisions and the Management of Bad Loans: Evidence from Greece. Sustainability, 10(12), 4728
• Thanopoulou Z. et al. (2018), How many fish? Comparison of two underwater visual sampling methods for
  monitoring fish communities. PeerJ 6:e5066; DOI 10.7717/peerj.5066

2017:

• Sakavara Ath., Tsirtsis G., Roelke D., Mancy R. & Spatharis S. (2017) Lumpy species coexistence arises robustly in fluctuating resource environments, PNAS