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
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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
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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).
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Office Address |
Injibara University, College of Engineering and Technology, Department of Software Engineering, Building G+4 –Room 007 |