default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDesta Haileselassie Hagos
Person information
- affiliation: Howard University, Department of Electrical Engineering and Computer Science, Washington, DC, USA
- affiliation (former): KTH Royal Institute of Technology, Department of Computer Science, Stockholm, Sweden
- affiliation (former, PhD 2020): University of Oslo, Department of Computer Science, Norway
- affiliation (former): University Graduate Center (UNIK), Oslo, Norway
- affiliation (former): Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Luleå, Sweden
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2020
[b1]Desta Haileselassie Hagos:
Discovering the Dynamic Complexity of TCP Using Machine Learning and Deep Learning Techniques. University of Oslo, Norway, 2020
Journal Articles
- 2024
- [j11]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): 7374-7398 (2024) - [j10]Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat:
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives. IEEE Trans. Artif. Intell. 5(12): 5873-5893 (2024) - [j9]Desta Haileselassie Hagos, Danda B. Rawat:
Neuro-Symbolic AI for Military Applications. IEEE Trans. Artif. Intell. 5(12): 6012-6026 (2024) - 2022
- [j8]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): 1889 (2022) - [j7]Desta Haileselassie Hagos, Danda B. Rawat:
Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives. Sensors 22(24): 9916 (2022) - 2021
- [j6]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): 3534-3553 (2021) - [j5]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: 9038-9063 (2021) - 2018
- [j4]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: 28372-28387 (2018) - [j3]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: 7905960:1-7905960:14 (2018) - 2016
- [j2]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): 1-22 (2016) - [j1]Desta Haileselassie Hagos:
The performance of network-controlled mobile data offloading from LTE to WiFi networks. Telecommun. Syst. 61(4): 675-694 (2016)
Conference and Workshop Papers
- 2024
- [c14]Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci:
Practical and Ethical Considerations for Generative AI in Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 176-187 - 2023
- [c13]Desta Haileselassie Hagos, Earl Tankard, Manish Bhurtel, Danda B. Rawat:
Optimal Asynchronous Federated Learning for the Internet of Battlefield Things (IoBT). ICMLA 2023: 1553-1559 - [c12]Desta Haileselassie Hagos, Earl Tankard, Danda B. Rawat:
A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems. INFOCOM Workshops 2023: 1-6 - 2022
- [c11]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: 114-130 - [c10]Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård:
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. SAM 2022: 216-220 - 2020
- [c9]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: 1-11 - 2019
- [c8]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Carsten Griwodz:
A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP. IPCCC 2019: 1-10 - [c7]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi:
Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. NCA 2019: 1-10 - 2018
- [c6]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic. ICCCN 2018: 1-11 - [c5]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements. NCA 2018: 1-10 - [c4]Desta Haileselassie Hagos, Paal E. Engelstad, Anis Yazidi, Øivind Kure:
A machine learning approach to TCP state monitoring from passive measurements. Wireless Days 2018: 164-171 - 2017
- [c3]Desta Haileselassie Hagos, Anis Yazidi, Øivind Kure, Paal E. Engelstad:
Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques. AINA 2017: 909-918 - 2013
- [c2]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: 573-578 - [c1]Desta Haileselassie Hagos, Rüdiger Kapitza:
Study on performance-centric offload strategies for LTE networks. WMNC 2013: 1-10
Informal and Other Publications
- 2024
- [i8]Danda B. Rawat, Hassan El Alami, Desta Haileselassie Hagos:
Metaverse Survey & Tutorial: Exploring Key Requirements, Technologies, Standards, Applications, Challenges, and Perspectives. CoRR abs/2405.04718 (2024) - [i7]Desta Haileselassie Hagos, Rick Battle, Danda B. Rawat:
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives. CoRR abs/2407.14962 (2024) - [i6]Desta Haileselassie Hagos, Danda B. Rawat:
Neuro-Symbolic AI for Military Applications. CoRR abs/2408.09224 (2024) - [i5]Desta Haileselassie Hagos, Hassan El Alami, Danda B. Rawat:
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions. CoRR abs/2411.09788 (2024) - 2023
- [i4]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 abs/2304.11530 (2023) - 2022
- [i3]Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov:
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. CoRR abs/2201.09676 (2022) - [i2]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 abs/2208.03392 (2022) - [i1]Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård:
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. CoRR abs/2208.04704 (2022)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-27 00:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
