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Bibliographic databases:Evangelia Fragkou received her diploma (Integrated Master's Degree - BEng+MEng) from the Department of Electrical and Computer Engineering (ECE Dept.), at University of Thessaly (UTH), in 2019. She is now a PhD candidate at the same Department and a member of the DANA Lab, of University of Thessaly. She has earned a HFRI grant to carry out her PhD studies. Her main research interests lie in the area of machine/deep learning. Furthermore, she is a teaching assistant in courses at University of Thessaly, she is a certified Adult Educator of Non-Formal Education and concurrently, she prepares high school students for their panhellenic exams on the subject of Informatics.
[J2] Fragkou E., Koultouki M., Katsaros D., "Model Reduction of Feed Forward Neural Networks for Resource-Constrained Devices", Applied Intelligence (Springer), 2022, https://doi.org/10.1007/s10489-022-04195-8. [ link ]
[J1] Fragkou E., Papakostas D., Kasidakis T., Katsaros D., "Multilayer Backbones for Internet of Battlefield Things", Future Internet (MDPI), vol. 14, no. 6, art. 186, 2022. [ link ]
[C5] E. Fragkou, V. Lygnos, D. Katsaros,2023, "Transfer Learning for Convolutional Neural
Networks in Tiny Deep Learning Environments”.
In Proceedings of the 26th Pan-Hellenic Conference on Informatics
PCI2022. Association for Computing Machinery, New York, NY, USA, 145–150.
DOI: https://doi.org/10.1145/3575879.3575984.
[ link ]
[C4] Fragkou E., Katsaros D., "Memory Reduction and Training Acceleration of Neural Networks for Tiny Machine Learning", Poster, 4th Summit on Gender Equality in Computing, (GEC’22), Hybrid Event, June 16-17, 2022.
[C3] A. Chouliaras, E. Fragkou, D. Katsaros,
“Feed Forward Neural Network Sparsification with Dynamic Pruning”,
Proceedings of 25th Pan-Hellenic Conference on Informatics (PCI2021),
Association for Computing Machinery (ACM), New York, NY, USA, 12–17,
November, 2021, DOI:https://doi.org/10.1145/3503823.3503826.
[ link ]
[C2] E. Fragkou, D. Katsaros, Y. Manolopoulos. "Sink Group Betweenness Centrality", Proceedings 25th International Database Engineering & Applications Symposium (IDEAS), pp.5-11, Montreal, Canada, July 2021, DOI:https://doi.org/10.1145/3472163.3472182. [ link ]
[C1] D. Papakostas, T. Kasidakis, E. Fragkou, D. Katsaros, “Backbones for Internet of Battlefield Things”, Proceedings of the IEEE/IFIP Wireless On-demand Network Systems and Services (WONS), pp. 116-123, March 9-11, 20, DOI:https://doi.org/10.23919/WONS51326.2021.9415560. [ link ]
Ph.D Student on the subject: "Deep Learning and its Applications in
Big Data Networks Performance Improvement",
advised by Assoc. Prof. Mr. Dimitrio Katsaro.
Diploma (Integrated Master's Degree - BEng+MEng - 300 ECTS):
Electrical and Computer Engineering.
Department of Electrical and Computer Engineering (ECE Dept.),
University of Thessaly (UTH), Volos, Greece.
English – Certificate of Proficiency in English (ECPE) – Level (C2),
University of Michigan.
Hellenic Foundation for Research and Innovation
(HFRI):
2-years-granted project for Ph.D studies – 3rd Call for HFRI PhD
Fellowships (Fellowship Number: 5631).
License of Practicing Profession of Electrical & Computer Engineering,
Technical Chamber of Greece (TEE - TCG) –
Regional Section of Magnesia.
Certificate of Educational Sufficiency –
Certified Adult Educator of Non-Formal Education (EOPPEP).
(Certification Code: EB 46338)
Educator – Teaching
the basics of Informatics (60 hours)
DIMITRA Education &
Consulting SA , Larissa , Thessalia, Greece.