Desta Haileselassie Hagos

Orcid: 0000-0002-2014-2749

Affiliations:
  • Howard University, Department of Electrical Engineering and Computer Science, Washington, DC, USA
  • KTH Royal Institute of Technology, Department of Computer Science, Stockholm, Sweden (former)
  • University of Oslo, Department of Computer Science, Norway (former, PhD 2020)
  • University Graduate Center (UNIK), Oslo, Norway (former)
  • Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Luleå, Sweden (former)


According to our database1, Desta Haileselassie Hagos authored at least 24 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions.
IEEE Internet Things J., 2024

2023
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023

A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives.
Sensors, 2022

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks.
Remote. Sens., 2022

Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement.
CoRR, 2022

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement.
Proceedings of the Distributed Applications and Interoperable Systems: 22nd IFIP WG 6.1 International Conference, 2022

2021
ExtremeEarth Meets Satellite Data From Space.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature.
IEEE Internet Things J., 2021

2020
Discovering the Dynamic Complexity of TCP Using Machine Learning and Deep Learning Techniques.
PhD thesis, 2020

Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019
Classification of Delay-based TCP Algorithms From Passive Traffic Measurements.
Proceedings of the 18th IEEE International Symposium on Network Computing and Applications, 2019

A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

2018
A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog.
Mob. Inf. Syst., 2018

General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques.
IEEE Access, 2018

A machine learning approach to TCP state monitoring from passive measurements.
Proceedings of the 2018 Wireless Days, 2018

Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements.
Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018

Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic.
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

2017
Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques.
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017

2016
The performance of network-controlled mobile data offloading from LTE to WiFi networks.
Telecommun. Syst., 2016

Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications.
Int. J. Grid High Perform. Comput., 2016

2013
Study on performance-centric offload strategies for LTE networks.
Proceedings of the 6th Joint IFIP Wireless and Mobile Networking Conference, 2013

NexTrend: Context-Aware Music-Relay Corridors Using NFC Tags.
Proceedings of the Seventh International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2013


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