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ΤΥΡΟΒΟΛΑΣ ΔΗΜΗΤΡΙΟΣ
ΕΠΙΚΟΥΡΟΣ ΚΑΘΗΓΗΤΗΣ (ΘΗΤΕΙΑ)
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
ΤΜΗΜΑ ΠΛΗΡΟΦΟΡΙΚΗΣ ΚΑΙ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ - ΤΡΙΠΟΛΗ
Ε-mail: d.tyrovolas (at) uop (dot) gr
Γραφείο: Κάτω Κτήριο - 1ος Όροφος
Ώρες Γραφείου: Τρίτη 12:00-13:30 & Τετάρτη 16:30-18:00
Σύντομο Βιογραφικό ΣημείωμαΟ Δημήτριος Τυροβολάς (Μέλος IEEE) έλαβε το Δίπλωμα Ηλεκτρολόγου Μηχανικού και Tεχνολογίας Υπολογιστών από το Πανεπιστήμιο Πατρών το 2020 και το Διδακτορικό Δίπλωμα από το Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών του Αριστοτελείου Πανεπιστημίου Θεσσαλονίκης το 2024. Από τον Νοέμβριο του 2024 έως τον Οκτώβριο του 2026 εργάστηκε ως Μεταδιδακτορικός Ερευνητής στο Τμήμα Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών του Πανεπιστημίου Πατρών. Τον Οκτώβριο του 2026 εντάχθηκε στο διδακτικό και ερευνητικό προσωπικό του Πανεπιστημίου Πελοποννήσου, όπου υπηρετεί ως Επίκουρος Καθηγητής στο Τμήμα Πληροφορικής και Τηλεπικοινωνιών.
Τα ερευνητικά του ενδιαφέροντα επικεντρώνονται στις ψηφιακές και ασύρματες επικοινωνίες, στα δίκτυα επόμενης γενιάς και στην αξιοποίηση της Τεχνητής Νοημοσύνης (Artificial Intelligence – AI) στα σύγχρονα τηλεπικοινωνιακά συστήματα, με έμφαση στη βελτίωση της ποιότητας, της αξιοπιστίας και της ενεργειακής αποδοτικότητας των επικοινωνιών. Ειδικότερα, ασχολείται με τη μελέτη και τον σχεδιασμό ευφυών και αναδιαμορφώσιμων ασύρματων συστημάτων, την ανάπτυξη δικτύων με εγγενή ενσωμάτωση της Τεχνητής Νοημοσύνης (AI-native networks), την αξιοποίηση νέων τεχνολογιών κεραιών και τις επικοινωνίες μέσω μη επανδρωμένων εναέριων οχημάτων (UAVs). Παράλληλα, το ερευνητικό του έργο περιλαμβάνει τη μαθηματική μοντελοποίηση, την ανάλυση απόδοσης και τη βελτιστοποίηση τηλεπικοινωνιακών συστημάτων και δικτύων.
Είναι μέλος της συντακτικής επιτροπής (Editor) των διεθνών επιστημονικών περιοδικών IEEE Transactions on Communications και IEEE Communications Letters. Έχει διακριθεί ως Εξαίρετος Κριτής (Exemplary Reviewer) του περιοδικού IEEE Wireless Communications Letters το 2021 και του IEEE Communications Letters το 2022, κατατασσόμενος στο κορυφαίο 3% των κριτών. Επιπλέον, το 2025 έλαβε τη διάκριση Εξαίρετου Συντάκτη (Exemplary Editor) του περιοδικού IEEE Communications Letters. Το 2026 ήταν συναποδέκτης του Βραβείου Καλύτερης Φοιτητικής Εργασίας (Best Student Paper Award) στο διεθνές συνέδριο EuCNC & 6G Summit.
Έχει συμμετάσχει στις Επιστημονικές Επιτροπές Προγράμματος (Technical Program Committees – TPCs) διεθνών συνεδρίων, όπως τα IEEE International Conference on Communications (ICC), IEEE Global Communications Conference (GLOBECOM), IEEE Wireless Communications and Networking Conference (WCNC), IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), IEEE Vehicular Technology Conference (VTC-Spring και VTC-Fall), ΙΕΕΕ MECOM, και BalkanCom.
Τα ερευνητικά του ενδιαφέροντα επικεντρώνονται στις ψηφιακές και ασύρματες επικοινωνίες, στα δίκτυα επόμενης γενιάς και στην αξιοποίηση της Τεχνητής Νοημοσύνης (Artificial Intelligence – AI) στα σύγχρονα τηλεπικοινωνιακά συστήματα, με έμφαση στη βελτίωση της ποιότητας, της αξιοπιστίας και της ενεργειακής αποδοτικότητας των επικοινωνιών. Ειδικότερα, ασχολείται με τη μελέτη και τον σχεδιασμό ευφυών και αναδιαμορφώσιμων ασύρματων συστημάτων, την ανάπτυξη δικτύων με εγγενή ενσωμάτωση της Τεχνητής Νοημοσύνης (AI-native networks), την αξιοποίηση νέων τεχνολογιών κεραιών και τις επικοινωνίες μέσω μη επανδρωμένων εναέριων οχημάτων (UAVs). Παράλληλα, το ερευνητικό του έργο περιλαμβάνει τη μαθηματική μοντελοποίηση, την ανάλυση απόδοσης και τη βελτιστοποίηση τηλεπικοινωνιακών συστημάτων και δικτύων.
Είναι μέλος της συντακτικής επιτροπής (Editor) των διεθνών επιστημονικών περιοδικών IEEE Transactions on Communications και IEEE Communications Letters. Έχει διακριθεί ως Εξαίρετος Κριτής (Exemplary Reviewer) του περιοδικού IEEE Wireless Communications Letters το 2021 και του IEEE Communications Letters το 2022, κατατασσόμενος στο κορυφαίο 3% των κριτών. Επιπλέον, το 2025 έλαβε τη διάκριση Εξαίρετου Συντάκτη (Exemplary Editor) του περιοδικού IEEE Communications Letters. Το 2026 ήταν συναποδέκτης του Βραβείου Καλύτερης Φοιτητικής Εργασίας (Best Student Paper Award) στο διεθνές συνέδριο EuCNC & 6G Summit.
Έχει συμμετάσχει στις Επιστημονικές Επιτροπές Προγράμματος (Technical Program Committees – TPCs) διεθνών συνεδρίων, όπως τα IEEE International Conference on Communications (ICC), IEEE Global Communications Conference (GLOBECOM), IEEE Wireless Communications and Networking Conference (WCNC), IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), IEEE Vehicular Technology Conference (VTC-Spring και VTC-Fall), ΙΕΕΕ MECOM, και BalkanCom.
Επιστημονικά Ενδιαφέροντα: Ψηφιακές και Ασύρματες ΕπικοινωνίεςΜαθηματική Μοντελοποίηση και Ανάλυση Επίδοσης Τηλεπικοινωνιακών Συστημάτων και ΔικτύωνΒελτιστοποίηση Ασύρματων Συστημάτων και Δικτύων ΕπικοινωνιώνΔίκτυα με Εγγενή Τεχνητή Νοημοσύνη (AI-native Networks)Εφαρμογές Μεγάλων Γλωσσικών Μοντέλων (Large Language Models – LLMs) σε Ευφυή Δίκτυα και Τηλεπικοινωνιακά ΣυστήματαΕπικοινωνίες και Δίκτυα Μη Επανδρωμένων Εναέριων Οχημάτων (UAVs/Drones)Ευφυή και Αναδιαμορφώσιμα Ασύρματα Συστήματα και Τεχνολογίες ΚεραιώνΔίκτυα Κινητών Επικοινωνιών Επόμενης Γενιάς (5G/6G και πέραν αυτών)