Konstantinos Panagiotopoulos

Ph.D. in Bioingegneria E Scienze Medico-chirurgiche , 37^th cycle (2021-2024)

Ph.D. obtained in 2025

Dissertation:

Bioinformatics and Machine Learning Approaches for Biomarker Discovery and Predictive Modelling (Abstract)

Tutors:

Marco Agostino Deriu Jacek Adam Tuszynski

Profile

Research topic

Bioinformatics

Research interests

Computer Science

Biography

Entitled with a M.Sc in Informatics for Life Sciences from the University of Patras, Greece, with specialization in Bioinformatics.
Currently is a MSCA-ITN fellow in the PARENT project (Grant Agreement N° 956394).

Research

Research groups

Solid and fluid biomechanics

Other activities and projects related to research

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

Publications

Works published during the Ph.D. View all publications in Porto@Iris

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)
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. ISSN 2653-4983
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
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; Korfiati, Aigli; Theofilatos, Konstantinos; Hurwitz, ... (2023)
MEvA-X: a hybrid multiobjective evolutionary tool using an XGBoost classifier for biomarkers discovery on biomedical datasets. In: BIOINFORMATICS, vol. 39. ISSN 1367-4811
Contributo su Rivista
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
Panagiotopoulos, Konstantinos; Ibanibo, Lolia; Perrone, Benedetta; Marchetti, Caterina; ... (2022)
A review on computational tools for analytical visualisation and molecular interactions of sncRNAs: prospects in NDDs. In: 1st International Workshop in Neurodevelopmental Impairments in Preterm Children - Computational Advancements (DETERMINED 2022), Ljubljana, Slovenia, 26 August 2022, pp. 100-118
Contributo in Atti di Convegno (Proceeding)

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