People
Philip Doganis, Research Associate Unit of Process Control & Informatics Department II (Department of Process Analysis and Plant Design) School of Chemical Engineering, National Technical University of Athens fdoganis@chemeng.ntua.gr 0030 210 772 3134
Education
1997-2002: Diploma in Chemical Engineering, NTUA 2003-2007: PhD in Chemical Engineering, NTUA Thesis title: "Development of an integrated system for production planning and inventory management based on Computational Intelligence, Control Theory and Mathematical Programming methodologies."Research Interests
Process Control Mathematical Modeling and Optimization Cheminformatics and Bioinformatics Data Mining Machine LearningPublications
- 16. OpenRiskNet Part III: Modelling services in chemical/nano-safety, environmental science and pharmacokinetics [version 1; not peer reviewed]. Kramer S, Doganis P, Gebele D et al. F1000Research 2019, 8(ISCB Comm J):1514 (poster)
- 15. Computational Modelling of Biological Responses to Engineered Nanomaterials. Philip Doganis, Georgia Tsiliki, Georgios Drakakis, Charalampos Chomenidis, Penny Nymark, Pekka Kohonen, Roland Grafström, Ahmed Abdelaziz, Lucian Farcal, Thomas Exner, Barry Hardy, Haralambos Sarimveis. Chapter 11 in Nanotoxicology: Experimental and Computational Perspectives. Editors: Alok Dhawan, Diana Anderson and Rishi Shanker. Royal Society of Chemistry (2018) (In press).
- 14. Jaqpot Quattro: A novel computational web platform for modelling and analysis in nanoinformatics. Ch. Chomenidis, G. Drakakis, G. Tsiliki, E. Anagnostopoulou, A. Valsamis, P. Doganis, P. Sopasakis, H. Sarimveis. (2017) Journal of Chemical Information and Modeling, 57 (9), pp. 2161-2172.
- 13. Open source software in toxicology: Modelling perspectives [version 1; not peer reviewed]. Doganis P. F1000Research 2016, 5:2815, doi: 10.7490/f1000research.1113489.1 .
- 12. Decision trees for continuous data and conditional mutual information as a criterion for splitting instances. Drakakis, G., Moledina, S., Chomenidis, C., Doganis, P., Sarimveis, H. (2016) Combinatorial Chemistry and High Throughput Screening, 19 (5), pp. 423-428.
- 11. The eNanoMapper database for nanomaterial safety information. Jeliazkova, N., Chomenidis, C., Doganis, P. et.al. (2015) Beilstein Journal of Nanotechnology, 6 (1), pp. 1609-1634.
- 10. The first eNanoMapper prototype: A substance database to support safe-by-design. Jeliazkova, N., Doganis, P., Fadeel, B. et.al. (2014) Proceedings - 2014 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2014, art. no. 6999367, pp. 1-9.
- 9. Optimization of power production through coordinated use of hydroelectric and conventional power units. Doganis P., Sarimveis H. 2013. Applied Mathematical Modelling . Applied Mathematical Modelling, 2014, 38 (7-8): 2051-2062.
- 8. MILP Scheduling in the Food Industry. in: Optimization in Food Engineering. Philip Doganis and Haralambos Sarimveis. (2008), Taylor & Francis, Publisher: CRC Press. ISBN: 9781420061413.
- 7. An Adaptive Model Predictive Control configuration for Production- Inventory Systems. Eleni Aggelogiannaki, Philip Doganis and Haralambos Sarimveis. International Journal of Production Economics, July 2008, 114, 1, 165-178
- 6. A combined model predictive control and time series forecasting framework for production-inventory systems. Philip Doganis, Eleni Aggelogiannaki and Haralambos Sarimveis. International Journal of Production Research. 2008, 46 (24), pp. 6841-6853.
- 5. Optimal production scheduling for the dairy industry. Philip Doganis and Haralambos Sarimveis. Annals of Operations Research, March 2008, 159 (1): 315-331.
- 4. Optimal scheduling in a yogurt production line based on mixed integer linear programming. Philip Doganis and Haralambos Sarimveis. Journal of Food Engineering. 80 (2): 445-453 May 2007.
- 3. Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing. Philip Doganis, Alex Alexandridis, Panagiotis Patrinos and Haralambos Sarimveis. Journal of Food Engineering, 75, 2, July 2006, 196-204.
- 2. A classification technique based on radial basis function neural networks, Haralambos Sarimveis, Philip Doganis and Alex Alexandridis, Advances in Engineering Software, 37, 4, April 2006, 218-221.
- 1. An MILP model for optimal scheduling of the lube production plant. Philip Doganis, Haralambos Sarimveis, Dimitrios Koufos, George Bafas. Chemical Engineering Communications, Vol. 192, N. 8, August 2005, p. 1067-1084.