Tizazu Bayih Beyene

Full Name TIZAZU BAYIH BEYENE
Email Address bayihtizazu@gmail.com
Mobile Number +251919963370
Work Experience
  • February 08/2023 till now working as Lecturer and researcher in Injibara University, Ethiopia
  • May/09/2013 G.C to February/07/2023 Lecturer and r Researcher in Woldia University , Ethiopia
  • October 10/2017 G.C to October 29/2018 G.C working as head of Information Technology in Woldia University, Ethiopia
  • October 20/2020 G.C to January 20/2023 G.C working as Dean, School of Computing in Woldia University, Ethiopia  
Research Area Interests
  • Cloud computing, Internet of Things and related discipline
  • Machine Learning. Artificial Intelligence and deep Learning
  •  Software testing and quality assurance
  • Requirements engineering
  • Software maintenance and evolution
  • Software metrics and measurement
  • Software process improvement
  • Model-driven development
  • Empirical software engineering
  • Software project management
  • Software verification and validation
Publications
  • Impacts of Social Media on Administrative staff employees in case of Woldia University Site: International Journal of Innovative Science and Research Technology ISSN No:-2456-2165 Volume 5, Issue 6, June – 2020
  • Walk about time algorithm for black hole attack detection and prevention in MANET with AODV protocol Site: International Journal of Innovative Science and Research Technology ISSN No:-2456-2165Volume 5, Issue 6, June – 2020
  • Two-way Authentication Algorithm for Sinkhole Attack Isolation in WSN (Wireless Sensor Networks) Site: International Journal of Innovative Science and Research Technology ISSN No:-2456-2165Volume 6, Issue 2, February – 2021
  • A DMAC Protocol to Improve Spatial Reuse in Wireless Ad Hoc Network Site: International Journal of Innovative Science and Research Technology ISSN No:-2456-216 Volume 6, Issue 11, November – 2021
  • Optimizing Multi-Dimensional data index algorithm for mic architectures, site: ISSN No:-2456-2165
  • Implementing a Robust IoT Solution to Monitor Prone Position using Machine Learning Techniques DOI: 10.1109/CSNT54456.2022.9787604 Publisher: IEEE, 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT).
  • A Robust and Efficient Anti-Collision Technique for RFID Readers in the Mobile Environments based Machine Learning, Scopus Indexed, 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).
Office Address Injibara University, College of Engineering and Technology, Department of Software Engineering, Building G+4 –Room 007