Philip Doganis

National Technical University of Athens — Greece

Materials Science · Physical Sciences

16h-index1.2kcitations60works2.02yr avg
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Research Topics

Nanoparticles: synthesis and applications(13), Computational Drug Discovery Methods(10), Advanced Control Systems Optimization(8), Machine Learning in Materials Science(6), Scheduling and Optimization Algorithms(5)

Publications60 total

The SABYDOMA Safety by Process Control framework for the production of functional, safe and sustainable nanomaterials
Computers & Chemical Engineering·2025Open Access
INSIGHT: An integrated framework for safe and sustainable chemical and material assessment
Computational and Structural Biotechnology Journal·2025· 8 citedOpen Access
Quantitative in vitro to in vivo extrapolation for human toxicology and drug development
arXiv (Cornell University)·2024· 1 citedOpen Access
Referee report. For: Translating nanoEHS data using EPA NaKnowBase and the resource description framework [version 1; peer review: 2 approved]
Faculty of 1000 Research Ltd·2024Open Access
The Sabydoma Safety by Process Control Framework for the Production of Functional, Safe and Sustainable Nanomaterials
SSRN Electronic Journal·2024· 1 citedOpen Access
Harmonising knowledge for safer materials via the “NanoCommons” Knowledge Base
Frontiers in Physics·2023· 23 citedOpen Access
Images of daphnids (control and exposed to NMs) over multiple generations, scored by experts as toxic or non-toxic and the resulting deepDaph predictions
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Metadata stewardship in nanosafety research: learning from the past, preparing for an "on-the-fly" FAIR future
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Metadata stewardship in nanosafety research: learning from the past, preparing for an “on-the-fly” FAIR future
Frontiers in Physics·2023· 13 citedOpen Access
Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2
Network Modeling Analysis in Health Informatics and Bioinformatics·2023· 7 citedOpen Access
Contributors
Elsevier eBooks·2023
Deep learning methodologies in drug design
Elsevier eBooks·2023
A model predictive control framework for the production of functional, safe and sustainable nanomaterials
Computer-aided chemical engineering/Computer aided chemical engineering·2023
Images of daphnids (control and exposed to NMs) over multiple generations, scored by experts as toxic or non-toxic and the resulting deepDaph predictions
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Representing and describing nanomaterials in predictive nanoinformatics
Nature Nanotechnology·2022· 79 citedOpen Access
Identifying diverse metal oxide nanomaterials with lethal effects on embryonic zebrafish using machine learning
Beilstein Journal of Nanotechnology·2021· 5 citedOpen Access
Methods, models, mechanisms and metadata: Introducing the Nanotoxicology collection at F1000Research
F1000Research·2021· 4 citedOpen Access
Image Analysis and Deep Learning Web Services for Nano informatics
2021· 1 cited
Development of QSAR ensemble models for predicting the PAMPA Effective Permeability of new, non-peptidic leads with potential antiviral activity against the coronavirus SARS-CoV-2.
2021· 2 citedOpen Access
Machine learning predictions of concentration-specific aggregate hazard scores of inorganic nanomaterials in embryonic zebrafish
Nanotoxicology·2021· 18 cited
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Frequent Co-authors

Haralambos Sarimveis(45), Iseult Lynch(17), Antreas Afantitis(14), Georgia Melagraki(13), Egon Willighagen(11), Pantelis Karatzas(11), Thomas E. Exner(11), Andreas Tsoumanis(9), Periklis Tsiros(8), Charalampos Chomenidis(7), Pekka Kohonen(7), Georgia Tsiliki(7), Anastasios G. Papadiamantis(7), Dieter Maier(7), Lucian Farcal(7), Nina Jeliazkova(6), Roland Grafström(6), Vladimir Lobaskin(6), Chrysoula Gousiadou(6), Dimitra‐Danai Varsou(5)