Desta Haileselassie Hagos

PhD Candidate
Image of Desta Haileselassie  Hagos
Norwegian version of this page
Mobile phone +4748058339
Username
Visiting address Gaustadalléen 23B Ole-Johan Dahls hus 0373 OSLO
Postal address Postboks 1080 Blindern 0316 Oslo

Full publication list: Google Scholar 

Research Interests

  • Machine Learning

  • Deep Learning

  • Artificial Intelligence 

  • Computer Systems Networking

Educational Background

  • MSc Degree in Computer Science and Engineering (Specialization: Mobile Systems)

  • BSc Degree in Computer Science

Teaching

Spring 2015

Autumn 2016

Spring 2017

  • DAVE3605 - Effective Programming in C and C ++

Spring 2019

  • DAVE3605 - Effective Programming in C and C ++

Master Thesis Supervision

Master Thesis Title Supervisor Status
Spring 2015
A Software Defined Networking Evaluation Approach to Distributing Load Desta Haileselassie Hagos Compeleted
Troubleshooting of Software Defined Networks Desta Haileselassie Hagos completed
Spring 2016
Anomaly detection using machine learning techniques Desta Haileselassie Hagos completed

Publications

  • Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis & Kure, Øivind (2018). General TCP state inference model from passive measurements using machine learning techniques. IEEE Access.  ISSN 2169-3536.  6, s 28372- 28387 . doi: 10.1109/ACCESS.2018.2833107
  • Rauniyar, Ashish; Hagos, Desta Haileselassie & Shrestha, Manish (2018). A Crowd-Based Intelligence Approach for Measurable Security, Privacy, and Dependability in Internet of Automated Vehicles with Vehicular Fog. International Journal of Mobile Information Systems.  ISSN 1574-017X.  2018, s 1- 14 . doi: 10.1155/2018/7905960 Show summary
  • Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis & Kure, Oivind (2018). A machine learning approach to TCP state monitoring from passive measurements. IFIP Wireless Days.  ISSN 2156-9711.  2018-April, s 164- 171 . doi: 10.1109/WD.2018.8361713
  • Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis & Kure, Øivind (2018). Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements, In  2018 IEEE 17th International Symposium on Network Computing and Applications (NCA).  IEEE conference proceedings.  ISBN 978-1-5386-7659-2.  NCA 2018.  s 1 - 10
  • Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis & Kure, Øivind (2018). Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic, In Tarek F. Abdelzaher (ed.),  Proceedings of 27th International Conference on Computer Communication Networks (ICCCN), 2018. Hangzhou, China.  IEEE Communications Society.  ISBN 978-1-5386-5156-8.  TCP Flavors Prediction Model from Passive Traffic.  s 1 - 11
  • Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind & Engelstad, Paal E. (2017). Enhancing security attacks analysis using regularized machine learning techniques. Advanced Information Networking and Applications.  ISSN 1550-445X.  s 909- 918 . doi: 10.1109/AINA.2017.19
  • Hagos, Desta Haileselassie (2016). Software-defined networking for scalable cloud-based services to improve system performance of hadoop-based big data applications. International Journal of Grid and High Performance Computing.  ISSN 1938-0259.  8(2), s 1- 22 . doi: 10.4018/IJGHPC.2016040101
  • Hagos, Desta Haileselassie (2015). The performance of network-controlled mobile data offloading from LTE to WiFi networks. Telecommunications Systems.  ISSN 1018-4864.  61(4), s 675- 694 . doi: 10.1007/s11235-015-0061-2
  • Hagos, Desta Haileselassie (2013). NexTrend: Context-Aware Music-Relay Corridors Using NFC Tags. IEEE International Conference on Wireless and Mobile Computing, Networking, and Communications.  ISSN 2160-4886.  s 573- 578 . doi: 10.1109/IMIS.2013.101
  • Hagos, Desta Haileselassie & Kapitza, Rudiger (2013). Study on performance-centric offload strategies for LTE networks. IEEE International Conference on Wireless and Mobile Computing, Networking, and Communications.  ISSN 2160-4886.  s 1- 10 . doi: 10.1109/WMNC.2013.6548999
Published Nov. 12, 2015 11:23 AM - Last modified Jan. 8, 2019 2:27 PM