Konstantinos Panagiotopoulos

External Collaborator
Department of Mechanical and Aerospace Engineering (DIMEAS)

konstantinos.panagiotopoulos@polito.it

Profile

Research interests

Artificial intelligence

Bioinformatics

Biological networks

Predictive analytics

Skills

ERC sectors

LS2_12 - Bioinformatics

PE6_13 - Bioinformatics, biocomputing, and DNA and molecular computation

LS2_13 - Computational biology

PE6_12 - Scientific computing, simulation and modelling tools

SDG

Goal 1: No poverty

Goal 3: Good health and well-being

Goal 5: Gender equality

Goal 13: Climate action

Research

Research groups

Solid and fluid biomechanics (DIMEAS)

Other activities and projects related to research

PhD candidate at DIMEAS and a fellow researcher in MSCA-ITN in the PARENT project.

Publications

Latest publications View all publications in Porto@Iris

Shah, Syed Taimoor Hussain; Shah, Syed Adil Hussain; Panagiotopoulos, Konstantinos; ... (2025)
Artificial intelligence coupled with the Internet of Things targeting neurodevelopmental challenges in preterm neonates. In: JOURNAL OF MULTISCALE NEUROSCIENCE, vol. 4, pp. 32-56. ISSN 2653-4983
Contributo su Rivista
Sperti, Michela; Cardaci, Camilla; Bruno, Francesco; Shah, Syed Taimoor Hussain; ... (2025)
Artificial Intelligence-based Approaches for Characterizing Plaque Components From Intravascular Optical Coherence Tomography Imaging: Integration Into Clinical Decision Support Systems. In: REVIEWS IN CARDIOVASCULAR MEDICINE, vol. 26, pp. 1-23. ISSN 1530-6550
Contributo su Rivista
Panagiotopoulos, Konstantinos (2025)
Bioinformatics and Machine Learning Approaches for Biomarker Discovery and Predictive Modelling. relatore: DERIU, MARCO AGOSTINO; TUSZYNSKI, JACEK ADAM; , 37. XXXVII Ciclo, P.: 216
Doctoral Thesis
Shah, Syed Taimoor Hussain; Shah, Syed Adil Hussain; Panagiotopoulos, Konstantinos; ... (2025)
Explainable Emotion Recognition Using Xception-Based Feature Extraction and Supervised Machine Learning on the RAVDESS Dataset. In: 2025 IEEE Medical Measurements & Applications (MeMeA), Chania, Greece. ISBN: 979-8-3315-2347-3
Contributo in Atti di Convegno (Proceeding)
Gentile, Fr; Shah, Sth; Sperti, M; Panagiotopoulos, K; Primi, R; Bendotti, S; Currao, A; ... (2023)
An innovative MedIcaL dEcision Support tool for neurological ouTcome predictiOn from post-resuscitatioN Electrocardiograms (MILESTONE). In: EUROPEAN HEART JOURNAL, vol. 44. ISSN 1522-9645
Contributo su Rivista