Leonidas AkritidisFaculty list

Leonidas Akritidis

Leonidas Akritidis holds both a diploma and a PhD in Electrical and Computer Engineering. His research activity is mainly focused on the fields of deep machine learning on text data, natural language processing, data mining and representation, optimal aggregation and integration of ranked lists and parallel and distributed algorithms. He has authored numerous research articles that have been published in leading international journals, as well as a significant number of papers in the proceedings of international scientific conferences. He has contributed to various research projects in a variety of roles. In addition, he has taught numerous courses over the years at various Universities. Since 2020 he is a contracted lecturer at the International Hellenic University.

Title:
Academic Scholar
University Degree/ Diploma:
Electrical and Computer Engineering, Aristotle University of Thessaloniki
PhD Degree:
Electrical and Computer Engineering, University of Thessaly
E-mail:
lakritidis@ihu.gr
Recent publications:
Recent journal publications
  • L. Akritidis, M. Alamaniotis, P. Bozanis, "FLAGR: AFlexibleHigh-Performance Library for Rank Aggregation", Elsevier SoftwareX, vol. 21, pp. 101319, 2023.
  • Fevgas, L. Akritidis, M. Alamaniotis, P. Tsompanopoulou, P. Bozanis, "HyR-tree: a spatial index for hybrid Flash/3DXPoint storage", Neural Computing and Applications, vol. 35, no. 1, pp. 133-145, 2023.
  • Akritidis, A. Fevgas, P. Bozanis, Y. Manolopoulos, "An Unsupervised Distance-Based Model for Weighted Rank Aggregation with List Pruning", Expert Systems with Applications, vol. 202, pp. 117435, 2022.
  • Akritidis, M. Alamaniotis, A. Fevgas, P. Tsompanopoulou, P. Bozanis, "Improving Hierarchical Short Text Clustering through Dominant Feature Learning", International Journal on Articial Intelligence Tools, vol. 31, no. 5, pp. 2250034, 2022.
  • Akritidis, A. Fevgas, P. Bozanis, C. Makris, "A Self-Verifying Clustering Approach to Unsupervised Matching of Product Titles", Artificial Intelligence Review, vol. 53, no. 7, pp. 4777-4820, 2020.
  • Akritidis, A. Fevgas, P. Tsompanopoulou, P. Bozanis, "Evaluating the Effects of Modern Storage Devices on the Efficiency of Parallel Machine Learning Algorithms", International Journal on Artificial Intelligence Tools, vol. 29, no. 03n04, pp. 1-29, 2020.
  • Fevgas, L. Akritidis, P. Bozanis, Y. Manolopoulos, "Indexing in Flash Storage Devices: A Survey on Challenges, Current Approaches, and Future Trends", The VLDB Journal, vol. 29, no. 1, pp. 273-311, 2020.
Recent publications in Conference Proceedings
  • Akritidis, P. Bozanis, "How Dimensionality Reduction affects Sentiment Analysis NLP Tasks: An Experimental Study", In Proceedings of the 18th International Conference on Artificial Intelligence Applications and Innovations, pp. 301-312, 2022.
  • Akritidis, P. Bozanis, "Lifting the Curse: Exploring Dimensionality Reduction on Text Clustering Applications", In Proceedings of the 13th International Conference on Information, Intelligence, Systems and Applications (IISA 2022), pp. 1-8, 2022.
  • Akritidis, M. Alamaniotis, A. Fevgas, P. Bozanis, "A Scalable Short-Text Clustering Algorithm Using Apache Spark", In Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 927-934, 2021.
  • Akritidis, M. Alamaniotis, A. Fevgas, P. Bozanis, "Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections", In Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 813-820, 2020.
  • Akritidis, A. Fevgas, P. Bozanis, M. Alamaniotis, "A Self-Pruning Classification Model for News", In Proceedings of the 10th International Conference Information, Intelligence, Systems and Applications (IISA), pp. 1-6, 2019.
  • Fevgas, L. Akritidis, M. Alamaniotis, P. Tsompanopoulou, P. Bozanis, "A Study of R-Tree Performance in Hybrid Flash/3DXPoint Storage", Proceedings of 10th International Conference Information, Intelligence, Systems and Applications (IISA), pp. 1-6, 2019.
  • Akritidis, A. Fevgas, P. Bozanis, "An Iterative Distance-Based Model for Unsupervised Weighted Rank Aggregation", In Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 358-362, 2019.
  • Akritidis, P. Bozanis, A. Fevgas, "Supervised Papers Classification on Large-Scale High-Dimensional Data with Apache Spark" In Proceedings of the 4th IEEE International Conference on Big Data Intelligence and Computing (DataCom), pp. 987-994, 2018.
  • Akritidis, A. Fevgas, P. Bozanis, "Effective Products Categorization with Importance Scores and Morphological Analysis of the Titles", In Proceedings of the 30th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), best student paper award, pp. 213-220, 2018.
  • Akritidis, A. Fevgas, P. Tsompanopoulou, P. Bozanis, "Investigating the Efficiency of Machine Learning Algorithms on MapReduce Clusters with SSDs", In Proceedings of the 30th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 1018-1025, 2018.
  • Akritidis, P. Bozanis, "Effective Unsupervised Matching of Product Titles with k- Combinations and Permutations", In Proceedings of the 14th IEEE International Conference on Innovations in Intelligent Systems and Applications, pp. 1-10, 2018.
  • L. Akritidis, P. Bozanis, "Efficient Urban Transportation(s) with IoT Devices and Robust Workers Allocation", In Proceedings of the 2018 SouthEast European Conference on Design Automation, Computer Engineering, Computer Networks and Social Media (SEEDA-CECNSM), pp. 1-6, 2018.
Research projects:
  • CyberPi - Intelligent cyber threat detection and privacy protection system 2020-2022 Funding: It was implemented in the framework of the Action "RESEARCH-CREATE-INNOVATE" and was co-financed by the European Union and national resources through the OP. "Competitiveness, Entrepreneurship & Innovation (EPANEK)" (project code: T2EDK-01469), 2020-2022.
  • NANOTRIM - Continuous Transistor Sizing Toolset for Nanoscale IC Optimization – Collaborative, 2013-2015. The program aimed to optimize the transistor size of integrated circuits at the physical level.
  • Virtual Museum over a Sensor Web (iMuSe) - (EEA Grants - ΥΠ.ΟΙ.Ο. 7/2009-4/2011). An integrated platform was developed, combining Database, Sensor, Networking and PDA technologies for the Museum of Volos, allowing visitors to be informed about the exhibits, as well as educators and archaeologists to produce presentations and slides in an automated way.
Course titles:
Additional course titles:
  • Mobile Application Development
  • Web Programming
  • Machine Learning Principles and Concepts (Lab)
  • Big Data and Cloud Computing (Lab)
Personal Website:

Links to bibliometric databases:
https://scholar.google.gr/citations?user...
https://www.scopus.com/authid/detail.uri...
https://dblp.org/pid/19/49.html
https://www.researchgate.net/profile/Leo...