Georgios S. Stamatakos is Research Professor of Analysis and Simulation of Biological Systems and their Interaction with Electromagnetic Radiation at the Institute of Communication and Computer Systems (ICCS), School of Electrical and Computer Engineering (SECE), National Technical University of Athens (NTUA). He is also a Visiting Professor at the Medical School, University of Saarland (Medizinische Fakultät, Universität des Saarlandes), Germany. He is the Founder and the Director of the In Silico Oncology and In Silico Medicine Group of ICCS-SECE-NTUA (www.in-silico-oncology.iccs.ntua.gr). From 2016 to 2019 he was a Visiting Professor at SECE, NTUA.
Ηe has published more than 165 articles in international peer reviewed journals, conference proceedings and scientific books (books and book chapters).
Ηe has taught several courses at both undergraduate and postgraduate levels at SECE and the School of Applied Mathematical and Physical Sciences of NTUA as well as at the Hellenic Army's Postgraduate School of Telecommunications (STIAD). Τhe courses he has taught include, inter alia, Electromagnetic Fields (and Microwaves), Optoelectronics Laboratory Course, Laser Technology and Applications Laboratory Course, Physics Laboratory Courses.
He formulated and proposed the postgraduate course (705-SECE-NTUA) entitled: "Multiscale Cancer Modeling and In Silico Medicine", which he has been teaching in SECE, NTUA since 2014. The latter has been the first postgraduate course dedicated to the emergent domain of in silico medicine on a global scale (http://www.vph-institute.org/news/new-postgraduate-subject-on-multiscale-cancer-modelling-and-in-silico-medicine-mscm-ism.html). The course description is available at https://www.ece.ntua.gr/gr/doctoral/courses/705
G. Stamatakos has served as advisor for many diploma and doctoral theses in SECE.
He holds a Diploma/MSc degree in electrical engineering from NTUA, an MSc degree in bioengineering from the University of Strathclyde, Glasgow, UK, and a Ph.D. degree in physics (biophysics) from NTUA. He has also been a postdoctoral fellow in medical technology at ICCS-NTUA as a National Grant Foundation (IKY) grant recipient.
His research interests include in silico oncology, in silico medicine, multiscale cancer modeling, biomedical applications of Artificial Intelligence with special emphasis on oncology, computational medicine, systems medicine, precision medicine, the Virtual Physiological Human (VPH) initiative, systems biology, bioinformatics, biomedical engineering, bioengineering, bioelectromagnetics, biooptics, computational electromagnetics, software engineering and applied mathematics.
He proposed the concept and the system of the "Oncosimulator" (video available at https://www.youtube.com/watch?v=fdKHl4ecfwg). He pioneered the development of the Oncosimulator of the EC and Japan co-funded ACGT Integrated Project, a "world first" (http://cordis.europa.eu/result/rcn/86061_en.html). He also led the development of the Oncosimulators of several other competitive EC funded and international projects, mostly centered around the initiative of the Virtual Physiological Human (VPH) initiative (ContraCancrum, TUMOR, p-medicine, DR THERAPAT, MyHealthAvatar etc.). A major clinical collaborator in his research endeavours has been Norbert Graf, Professsor of Clinical Oncology and Hematology, University of Saarland, Germany.
G. Stamatakos was the scientific and the overall coordinator as well as the leader of the fundamental science part of the large scale EU-US integrating research project CHIC on in silico oncology (http://www.chic-vph.eu/). The latter was funded by the European Commission with a grant of 10,582,000 €. Seventeen leading academic, research, clinical and industrial partner organizations across Europe and US participated in CHIC. The CHIC project underwent its final review on 23 and 24 May 2017 and was assessed as "Excellent" by the Board of five External Reviewers appointed by the European Commission. A press release article on the "great achievements" of the CHIC project is available on the official website of the European Commission at https://ec.europa.eu/digital-single-market/en/news/great-achievements-eu-funded-chic-project A list of the major achievements of CHIC is available at http://chic-vph.eu/fileadmin/chic/downloads/CHIC_4th_Annual_Newsletter.pdf. A related news article published on the SECE website is available on https://www.ece.ntua.gr/en/article/111.
He is currently leading the predictive computer models action of the EU funded H2020 project BOUNCE entitled: “Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back.” (Project ID: 777167, https://www.bounce-project.eu/ .) ΒOUNCE is primarily based on an extensive clinical application of Artificial Intelligence (AI) strategies and techniques.
He proposed the term and the concept of "In Silico Oncology" denoting a new clinical trial driven scientific and technological discipline, primarily based on multiscale mechanistic biomodelling and in silico experimentation (i.e. experimentation on the computer). In Silico Oncology has also proved a precursor of the generic in silico medicine (https://en.wikipedia.org/wiki/In_silico_medicine).
Since 1st July 2019 (and till 15th September 2019) he has been working at the Medical School, University of Saarland, Germany, as an invited Visiting Professor, focusing on the clinical validation of the pioneering multiscale Oncosimulator of paediatric nephroblastoma which was designed and developed at ICCS-SECE-NTUA under his leadership and the clinical support of Prof. N. Graf, Medical School, University of Saarland (https://www.vph-institute.org/news/in-silico-oncology-en-route-to-clinical-translation.html).
He (co-)initiated and (co-)organized a number of international research workshops, including the IARWISOCI series on in silico oncology and cancer investigation (http://6th-iarwisoci.iccs.ntua.gr/ - open access to the Proceedings) and the First Transatlantic (EU-US) Workshop on Multiscale Cancer Modeling (ICT 2008, Brussels 2008, http://www.ehealthnews.eu/events/1200-1st-transatlantic-workshop-on-multiscale-cancer-modelling). A video of the opening talk of the latter delivered by G. Stamatakos is available at the ecancer oncology portal: http://ecancer.org/video/105/fundamentals-of-multiscale-modelling.php. He was an organizer and invited speaker at the Virtual Physiological Human (VPH2018) Conference dedicated to in silico medicine. This conference took place in Zaragoza, Spain on 5-6 Sept. 2018 ( http://vph-conference.org/program/invited)
He was co-editor, contributor and reviewer of the transatlantic multi-author textbook entitled "Multiscale Cancer Modeling" published by CRC Press in 2010/2011 (https://www.crcpress.com/Multiscale-Cancer-Modeling/Deisboeck-Stamatakos/p/book/9781439814406 and https://www.taylorfrancis.com/books/9781439814420). The US co-editor of the book was Thomas Deisboeck, MD, Associate Professor, Massachusetts General Hospital and Harvard Medical School. He was also co-editor of the Proceedings of the six international IARWISOCI conferences on in silico oncology and cancer investigation.
He is an expert of the European Research Council (ERC) established by the European Commission. He serves as a referee for numerous scientific peer reviewed journals including Nature Reviews Clinical Oncology and Nature Scientific Reports. G. Stamatakos is a Member of the Editorial Board of Cancer Informatics and a member of IEEE, the Virtual Physiological Human (VPH) Institute and the Technical Chamber of Greece.
The address of G. Stamatakos' webpage on the international researchers' database ORCID is http://orcid.org/0000-0003-2054-477X
in silico oncology, in silico medicine, multiscale cancer modeling, biomedical applications of Artificial Intelligence with special emphasis on oncology, computational medicine, systems medicine, precision medicine, the Virtual Physiological Human (VPH) initiative, systems biology, bioinformatics, biomedical engineering, bioengineering, bioelectromagnetics, biooptics, computational electromagnetics, software engineering, applied mathematics
- Multiscale Cancer Modelling and in Silico Medicine (MSCM & ISM) (Graduate - Fall Semester)