• environmental informatics 
• computational intelligence methods and tools for mechanical engineering and health (with applications including environment, energy, tribology, aeromechanics, exhaust aftertreatment modelling, allergy, aerobiology, etc.)
• web-based urban environment management and information systems 
• quality of life - environment related - information services 
• air quality microsensors and the computational improvement of their performance

Current research projects & activities

1. EU-citizen.science: Share, initiate and learn - citizen science in Europe. Main Role: third party supporting community building and platform use. Contact: citizenscience [at symbol] meng.auth.gr
2. KASTOM: An Innovative sustem for air quality monitoring and forecasting. Main Role: responcible for AQ microsensor use and computational improvement, AQ data fusion.
3. URwatair: a citizen science project for urban air quality and rain water management. Role: repsoncible for the AQ part of the project. Contact: citizenscience [at symbol] meng.auth.gr
4. Evolution of Computational Intelligence in Environmental Engineering - Generalization, Improvement, Optimal Combination of Methodologies in Air and Water Resources Quality Problems. Main role: scientific responsibility & coordination. Post-doc Researcher:  Dr. Ioannis Kontos
5. Studying NO2 levels in Thessaloniki with the aid of diffusion tubes. Main role: setting up, managing and analysing measurements (collaboration with www.duh.de)
6. COST Action PortASAP: European network for the promotion of portable, affordable and simple analytical platforms. Role: Management Commitee member

Selected past research project

1. FMI ENFUSER. Role: Subcontractor of the Finnish Meteorological Institute participating in the investigation, testing and extention of the fusion approach to include Computational Intelligence algorithms (indicatively Artificial Neural Networks) .
2. Netmon: An International training cource (run every year), devoted to "Low-cost Environmental Monitoring – from sensor principles to novel services". Role: event co-organiser and co-lecturer

Selected Publications 

1. Furxhi I., Murphy F., Mullins M., Arvanitis A., Poland C. (2020), Practices and Trends of Machine Learning Application in Nanotoxicology, Nanomaterials 10(1):116; doi:10.3390/nano10010116
2. Vohland K., Sauermann H., Antoniou V., Balazs B., Göbel C., Karatzas K., Mooney P., Perelló J., Ponti M., Samson R. and Winter S. (2020). Citizen Science and Sustainability Transitions. Research Policy 49(5), https://doi.org/10.1016/j.respol.2020.103978
3. Borrego C., Costa A.M., Ginja J., Amorim M., Karatzas K., Sioumis Th., Katsifarakis N., Konstantinidis K., De Vito S., Esposito E., Smith P., André N., Gérard P., Francis L.A.,. Castell N., Viana M., Minguillón M.C., Reimringen W., Otjes R.P., v.Sicard O., Pohle R., Elen B., Suriano D., Pfister V., Prato M., Dipinto S., Penza M. (2018), Assessment of air quality microsensors versus reference methods: The EuNetAir joint exercise– part II, Atmospheric Environment 193(127-142), https://doi.org/10.1016/j.atmosenv.2018.08.028
4. Karatzas K., Papamanolis L., Katsifarakis N., Riga M.  B. Werchan, M. Werchan, U. Berger, and K.C. Bergmann (2018), Google Trends reflect allergic rhinitis symptoms related to birch and grass pollen seasons, Aerobiologia, DOI: 10.1007/s10453-018-9536-4
5. Karatzas K., Katsifarakis N., Orlowski C. and Sarzyński A. (2018), Revisiting Urban Air Quality Forecasting: a Regression Approach, Vietnam Journal of Computer Science, 5(2), 177-184, DOI: 10.1007/s40595-018-0113-0, https://rdcu.be/Pa36
6. Karatzas K. and Katsifarakis N. (2018), Modelling of Household Electricity Consumption with the Aid of Computational Intelligence Methods.  Advances in Building Energy Research, 12:1, 84-96, DOI: 10.1080/17512549.2017.1314831
7. Katsifarakis N., Riga M., Voukantsis D. and Karatzas K. (2016), Computational Intelligence methods for rolling bearing fault detection, Journal of the Brazilian Society of Mechanical Sciences and Engineering 38 (6), pp. 1565-1574. doi:10.1007/s40430-015-0458-6 (First online: 08 December 2015)