ProfessorsProfessors of University of the AegeanLefteris Tsipis

Lefteris Tsipis

University of the Aegean

H-index: 5

Europe-Greece

About Lefteris Tsipis

Lefteris Tsipis, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of the Aegean, specializes in the field of UAV Communication Networks, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Digital Repository as a Service (D-RaaS): Enhancing Access and Preservation of Cultural Heritage Artifacts

A machine learning UAV deployment approach for emergency cellular networks

Machine Learning-Based Methods for Enhancement of UAV-NOMA and D2D Cooperative Networks

On the assessment of ensemble models for propagation loss forecasts in rural environments

An unsupervised machine learning approach for UAV-aided offloading of 5G cellular networks

Satellite Aerial Terrestrial Hybrid NOMA Scheme in 6G Networks: An Unsupervised Learning Approach

Performance evaluation of machine learning methods for path loss prediction in rural environment at 3.7 GHz

Machine learning-based methods for path loss prediction in urban environment for LTE networks

Lefteris Tsipis Information

University	University of the Aegean
Position	PhD candidate
Citations(all)	80
Citations(since 2020)	80
Cited By	0
hIndex(all)	5
hIndex(since 2020)	5
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	University of the Aegean
Google Scholar	View Google Scholar Profile

Lefteris Tsipis Skills & Research Interests

UAV Communication Networks

Machine Learning

Top articles of Lefteris Tsipis

Title	Journal	Author(s)	Publication Date
Digital Repository as a Service (D-RaaS): Enhancing Access and Preservation of Cultural Heritage Artifacts	Heritage	Lefteris Tsipi Demosthenes Vouyioukas Georgios Loumos Antonios Kargas Dimitrios Varoutas	2023/10/22
A machine learning UAV deployment approach for emergency cellular networks		Lefteris Tsipi Vasileios I Tatsis Dimitrios N Skoutas Demosthenes Vouyioukas Charalabos Skianis	2023/5/28
Machine Learning-Based Methods for Enhancement of UAV-NOMA and D2D Cooperative Networks	Sensors	Lefteris Tsipi Michail Karavolos Petros S Bithas Demosthenes Vouyioukas	2023/3/10
On the assessment of ensemble models for propagation loss forecasts in rural environments	IEEE Wireless Communications Letters	Nektarios Moraitis Lefteris Tsipi Demosthenes Vouyioukas Angelina Gkioni Spyridon Louvros	2022/3/8
An unsupervised machine learning approach for UAV-aided offloading of 5G cellular networks	Telecom	Lefteris Tsipi Michail Karavolos Demosthenes Vouyioukas	2022/1/20
Satellite Aerial Terrestrial Hybrid NOMA Scheme in 6G Networks: An Unsupervised Learning Approach		Michail Karavolos Lefteris Tsipi Petros S Bithas Demosthenes Vouyioukas P Takis Mathiopoulos	2022/7/6
Performance evaluation of machine learning methods for path loss prediction in rural environment at 3.7 GHz	Symmetry	Binh Thai Pham Abolfazl Jaafari Mohammadtaghi Avand Nadhir Al-Ansari Tran Dinh Du ...	2020/6/17
Machine learning-based methods for path loss prediction in urban environment for LTE networks		Nektarios Moraitis Lefteris Tsipi Demosthenes Vouyioukas	2020/10/12