Desta Haileselassie Hagos

About Desta Haileselassie Hagos

Desta Haileselassie Hagos, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Universitetet i Oslo, specializes in the field of Artificial Intelligence, Machine Learning, Deep Learning, Tactical Autonomy.

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

Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT)

Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions

Asynchronous federated learning for tactical autonomy

A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems

Ensuring Trustworthy Medical Artificial Intelligencethrough Ethical and Philosophical Principles

Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement

Desta Haileselassie Hagos Information

University

Position

Faculty of Mathematics and Natural Sciences

Citations(all)

324

Citations(since 2020)

197

Cited By

193

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

14

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Desta Haileselassie Hagos Skills & Research Interests

Artificial Intelligence

Machine Learning

Deep Learning

Tactical Autonomy

Top articles of Desta Haileselassie Hagos

Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT)

2023/12/15

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Federated learning for medical applications: A taxonomy, current trends, challenges, and future research directions

2023/11/1

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Ulas Bagci
Ulas Bagci

H-Index: 32

Vladimir Vlassov
Vladimir Vlassov

H-Index: 17

Asynchronous federated learning for tactical autonomy

2023/6/12

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems

2023/5/20

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Ensuring Trustworthy Medical Artificial Intelligencethrough Ethical and Philosophical Principles

arXiv preprint arXiv:2304.11530

2023/4/23

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Ugur Demir
Ugur Demir

H-Index: 2

Ulas Bagci
Ulas Bagci

H-Index: 32

Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives

2022/12/16

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics

2022/6/20

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement

2022/6/13

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Vladimir Vlassov
Vladimir Vlassov

H-Index: 17

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks

Remote Sensing

2022/4/14

Accelerate model parallel training by using efficient graph traversal order in device placement

arXiv preprint arXiv:2201.09676

2022/1/21

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Vladimir Vlassov
Vladimir Vlassov

H-Index: 17

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

A machine-learning-based tool for passive os fingerprinting with tcp variant as a novel feature

IEEE Internet of Things Journal

2020/9/15

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Advanced passive operating system fingerprinting using machine learning and deep learning

2020/8/3

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

Discovering the Dynamic Complexity of TCP Using Machine Learning and Deep Learning Techniques

2020

Desta Haileselassie Hagos
Desta Haileselassie Hagos

H-Index: 8

See List of Professors in Desta Haileselassie Hagos University(Universitetet i Oslo)