Desta Haileselassie Hagos

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 26

Top Topics

Medical Informatics

Machine Learning

Artificial Intelligence

Top Venues

IEEE Internet Things J.

Publications

Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. IEEE Internet Things J. 11 (5) (2024)
Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives. CoRR (2024)
Danda B. Rawat, Hassan El Alami, Desta Haileselassie Hagos
Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives. CoRR (2024)
Desta Haileselassie Hagos, Earl Tankard, Danda B. Rawat
A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems. INFOCOM Workshops (2023)
Debesh Jha, Ashish Rauniyar, Abhishek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR (2023)
Desta Haileselassie Hagos, Earl Tankard, Manish Bhurtel, Danda B. Rawat
Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT). ICMLA (2023)
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. CoRR (2022)
Desta Haileselassie Hagos, Danda B. Rawat
Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives. Sensors 22 (24) (2022)
Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement. DAIS (2022)
Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling
Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. Remote. Sens. 14 (8) (2022)
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. CoRR (2022)
Tianze Wang, Amir H. Payberah, Desta Haileselassie Hagos, Vladimir Vlassov
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. CoRR (2022)
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. SAM (2022)
Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad
A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature. IEEE Internet Things J. 8 (5) (2021)
Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, Georgios M. Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky
ExtremeEarth Meets Satellite Data From Space. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Desta Haileselassie Hagos, Martin Løland, Anis Yazidi, Øivind Kure, Paal E. Engelstad
Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning. ICCCN (2020)
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Carsten Griwodz
A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP. IPCCC (2019)
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi
Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. NCA (2019)
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure
General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques. IEEE Access 6 (2018)
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure
Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic. ICCCN (2018)
Ashish Rauniyar, Desta Haileselassie Hagos, Manish Shrestha
A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog. Mob. Inf. Syst. 2018 (2018)
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure
Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements. NCA (2018)
Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure
A machine learning approach to TCP state monitoring from passive measurements. Wireless Days (2018)
Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad
Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques. AINA (2017)
Desta Haileselassie Hagos
Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications. Int. J. Grid High Perform. Comput. 8 (2) (2016)
Desta Haileselassie Hagos
The performance of network-controlled mobile data offloading from LTE to WiFi networks. Telecommun. Syst. 61 (4) (2016)
Desta Haileselassie Hagos, Rüdiger Kapitza
Study on performance-centric offload strategies for LTE networks. WMNC (2013)
Samuel Idowu, Desta Haileselassie Hagos, Welderufael Berhane Tesfay, Abiola Famurewa, Juwel Rana, Kåre Synnes
NexTrend: Context-Aware Music-Relay Corridors Using NFC Tags. IMIS (2013)