Theofilos Kakantousis

About Theofilos Kakantousis

Theofilos Kakantousis, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Distributed Systems, Big Data, Machine Learning.

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

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks

Deepcube: Explainable Ai Pipelines for Big Copernicus Data

ExtremeEarth meets satellite data from space

The ExtremeEarth software architecture for Copernicus earth observation data

Artificial Intelligence and big data technologies for Copernicus data: The EXTREMEEARTH project

Theofilos Kakantousis Information

University

Position

___

Citations(all)

112

Citations(since 2020)

84

Cited By

50

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Theofilos Kakantousis Skills & Research Interests

Distributed Systems

Big Data

Machine Learning

Top articles of Theofilos Kakantousis

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks

Remote Sensing

2022/4/14

Deepcube: Explainable Ai Pipelines for Big Copernicus Data

2021

The ExtremeEarth software architecture for Copernicus earth observation data

Proceedings of the 2021 Conference on Big Data from Space, Publications Office of the European Union, Virtual Event

2021/5/17

See List of Professors in Theofilos Kakantousis University(Kungliga Tekniska högskolan)