NexTrend: Context-Aware Music-Relay Corridors Using NFC Tags. - Samuel Idowu; Desta Haileselassie Hagos; Welderufael Berhane Tesfay; Abiola Famurewa; Juwel Rana; Kåre Synnes (IMIS, 2013)

Study on performance-centric offload strategies for LTE networks. - Desta Haileselassie Hagos; Rüdiger Kapitza (WMNC, 2013)

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

The performance of network-controlled mobile data offloading from LTE to WiFi networks. - Desta Haileselassie Hagos (Telecommun. Syst., 2016)

Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques. - Desta Haileselassie Hagos; Anis Yazidi; Øivind Kure; Paal E. Engelstad (AINA, 2017)

Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Øivind Kure (ICCCN, 2018)

Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Øivind Kure (NCA, 2018)

A machine learning approach to TCP state monitoring from passive measurements. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Øivind Kure (Wireless Days, 2018)

General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Øivind Kure (IEEE Access, 2018)

A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog. - Ashish Rauniyar; Desta Haileselassie Hagos; Manish Shrestha (Mob. Inf. Syst., 2018)

A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi; Carsten Griwodz (IPCCC, 2019)

Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. - Desta Haileselassie Hagos; Paal E. Engelstad; Anis Yazidi (NCA, 2019)

Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning. - Desta Haileselassie Hagos; Martin Løland; Anis Yazidi; Øivind Kure; Paal E. Engelstad (ICCCN, 2020)

Discovering the Dynamic Complexity of TCP Using Machine Learning and Deep Learning Techniques. - Desta Haileselassie Hagos (2020)

A Machine-Learning-Based Tool for Passive OS Fingerprinting With TCP Variant as a Novel Feature. - Desta Haileselassie Hagos; Anis Yazidi; Øivind Kure; Paal E. Engelstad (IEEE Internet Things J., 2021)

ExtremeEarth Meets Satellite Data From Space. - 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; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement. - Tianze Wang; Amir Hossein Payberah; Desta Haileselassie Hagos; Vladimir Vlassov (DAIS, 2022)

COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. - Ashish Rauniyar; Desta Haileselassie Hagos; Debesh Jha; Jan Erik Håkegård (SAM, 2022)

Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. - Tianze Wang; Amir Hossein Payberah; Desta Haileselassie Hagos; Vladimir Vlassov (CoRR, 2022)

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. - Desta Haileselassie Hagos; Theofilos Kakantousis; Sina Sheikholeslami; Tianze Wang; Vladimir Vlassov; Amir Hossein Payberah; Moritz Meister; Robin Andersson; Jim Dowling (Remote. Sens., 2022)

Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives. - Desta Haileselassie Hagos; Danda B. Rawat (Sensors, 2022)

Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT). - Desta Haileselassie Hagos; Earl Tankard; Manish Bhurtel; Danda B. Rawat (ICMLA, 2023)

A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems. - Desta Haileselassie Hagos; Earl Tankard; Danda B. Rawat (INFOCOM Workshops, 2023)

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. - Debesh Jha; Ashish Rauniyar; Abhishek Srivastava; Desta Haileselassie Hagos; Nikhil Kumar Tomar; Vanshali Sharma; Elif Keles; Zheyuan Zhang 001; Ugur Demir; Ahmet Topcu; Anis Yazidi; Jan Erik Håkegård; et al. (CoRR, 2023)

Dynamic Model Selection for Asynchronous Federated Learning in IoBT Scenarios. - Earl Tankard; Desta Haileselassie Hagos; Danda B. Rawat (IEEE Big Data, 2024)

Practical and Ethical Considerations for Generative AI in Medical Imaging. - Debesh Jha; Ashish Rauniyar; Desta Haileselassie Hagos; Vanshali Sharma; Nikhil Kumar Tomar; Zheyuan Zhang 001; Ilkin Isler; Gorkem Durak; Michael B. Wallace; Cemal Yazici; Tyler M. Berzin; Koushik Biswas; et al. (FAIMI/EPIMI@MICCAI, 2024)

Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives. - Danda B. Rawat; Hassan El Alami; Desta Haileselassie Hagos (CoRR, 2024)

AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions. - Desta Haileselassie Hagos; Hassan El Alami; Danda B. Rawat (CoRR, 2024)

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. - Ashish Rauniyar; Desta Haileselassie Hagos; Debesh Jha; Jan Erik Håkegård; Ulas Bagci; Danda B. Rawat; Vladimir Vlassov (IEEE Internet Things J., 2024)

Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives. - Desta Haileselassie Hagos; Rick Battle; Danda B. Rawat (IEEE Trans. Artif. Intell., 2024)

Neuro-Symbolic AI for Military Applications. - Desta Haileselassie Hagos; Danda B. Rawat (IEEE Trans. Artif. Intell., 2024)