Konstantinos Panagiotopoulos

Ph.D. candidate in Bioingegneria E Scienze Medico-chirurgiche , 37^th cycle (2021-2024)
Department of Mechanical and Aerospace Engineering (DIMEAS)

External Collaborator
Department of Mechanical and Aerospace Engineering (DIMEAS)

konstantinos.panagiotopoulos@polito.it

Profile

PhD

Thesis title

Bioinformatics and Machine Learning Approaches for Biomarker Discovery and Predictive Modelling

Research topic

Bioinformatics

Tutors

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).

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. ISSN 2653-4983
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; 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
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)