Yirga Yayeh Munaye(PhD)

Full Name Yirga Yayeh Munaye (PhD)
Academic Rank Assistant Professor
Education Background
  • PhD in Electrical Engineering and Computer Science (EECS), (specialization: Wireless communication with Artificial Intelligence), Taiwan (July, 2021)
  • MSc in Information Science from Adiss Ababa University, Ethiopia (June 2014)
  • BSc in Information Technology from Bahir Dar University, Ethiopia (June 2009)
Working Experience
  • Assistant Professor, Injibara University from November 2022 till now
  • Post graduate, research and community service vice dean (December 2022 till now)
  • Assistant Professor, Bahir Dar Institute of Technology (August 2021- November 2022)
  • Chair Holder, Bahir Dar Institute of Technology (November 2021- December 2022)
  • Study leave (July 2017-September 2021)Department Head, Assosa University (September 2014 to August 2016)
  • Distance and continuing coordinator, Assosa University (September 2016 to August 2017)
  • Lecturer, Assosa  university (July 2014 to July 2017)
Research Interest
Publication
  1.  Admass, W.S., Munaye, Y.Y. & Bogale, G.A. Convolutional neural networks and histogram-oriented gradients: a hybrid approach for automatic mango disease detection and classification. Int. j. inf. tecnol. (2023). https://doi.org/10.1007/s41870-023-01605-z
  2. Wasyihun Sema, Yirga Yayeh, Girmaw Andualem. Automatic Detection and Classification of Mango Disease Using Convolutional Neural Network and Histogram Oriented Gradients, 21 June 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-3073109/v1]
  3. Wasyihun Sema, Yirga Yayeh, “Cyber security challenges and future directions” Cyber Security and Applications, 2023, https://doi.org/10.1016/j.csa.2023.100031.
  4.  Admass, W.S., Munaye, Y.Y. Integrating case-based and rule-based reasoning for diagnosis and treatment of mango disease using data mining techniques. Int. j. inf. tecnol. (2023). https://doi.org/10.1007/s41870-023-01587-yG.
  5.  Biruh Andualem, Yirga Yayeh, and Belayneh Teshome: BI-LSTM Based on Indoor Localization by using Smartphones and WIFI with RSSI Values, ICAST-2023 conference. [Accepted for Publication]
  6. S. Getachew and Y. Yayeh, “Ge’ez-English Bi-Directional Neural Machine Translation Using Transformer,” 2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA), Bahir Dar, Ethiopia, 2023, pp. 160-164, Doi: 10.1109/ICT4DA59526.2023.10302254.
  7.  E. Enawugaw and Y. Yayeh, “Machine Learning Based Soil-Type Classification,” 2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA), Bahir Dar, Ethiopia, 2023, pp. 165-170, doi: 10.1109/ICT4DA59526.2023.10302265.
  8.  T. Melese and Y. Yayeh, “Hybrid Deep-Machine Learning Based Performance Comparison for Soybean Plant Disease Identification,” 2023 International Conference on Information and Communication Technology for Development for Africa (ICT4DA), Bahir Dar, Ethiopia, 2023, pp. 96-101, doi: 10.1109/ICT4DA59526.2023.10302238
  9. G. B. Tarekegn, R. -T. Juang, H. -P. Lin, L. -C. Tai, Y. Y. Munaye and M. A. Bitew, “SRCLoc: Synthetic Radio Map Construction Method for Fingerprinting Outdoor Localization in Hybrid Networks,” in IEEE Sensors Journal, vol. 22, no. 15, pp. 15574-15583, 1 Aug.1, 2022, doi: 10.1109/JSEN.2022.3186469.
  10. G. B. Tarekegn, R. -T. Juang, H. -P. Lin, Y. Y. Munaye, Wang, Li-Chun, Bitew Mekuanint, “Deep reinforcement Learning-Based Drone Base Station Deployment for Wireless Communication Services”, IEEE Internet of Things journal, 2022. DOI: 10.1109/JIOT.2022.3182633
  11. Yirga Yayeh Munaye, Rong-Terng Juang, Hsin-Piao Lin, Getaneh Berie Tarekegn, “Resource Management for Multi-UAV Assisted IoT Networks: A Deep Reinforcement Learning Approach”, Applied Science, 2021. https://doi.org/10.3390/app11052163.
  12. Yirga Yayeh Munaye, Rong-Terng Juang, Hsin-Piao Lin, Getaneh Berie Tarekegn, “Hybrid Deep Learning-Based Throughput Analysis for UAV-Assisted Cellular Networks”, IET Communications, 2021. https://doi.org/10.1049/iet-com.2020.0397
  13. G. B. Tarekegn, R. -T. Juang, H. -P. Lin, A. B. Adege and Y. Y. Munaye, “DFOPS: Deep Learning-Based Fingerprinting Outdoor Positioning Scheme in Hybrid Networks,” in IEEE Internet of Things Journal, 2021. Doi: 10.1109/JIOT.2020.3024845.
  14. Munaye, Y.Y.; Lin, H.-P.; Adege, A.B.; Tarekegn, G.B. “UAV Positioning for Throughput Maximization Using Deep Learning Approaches”, Sensors 2019, 19, 2775. https://doi.org/10.3390/s19122775
  15. Abebe Belay Adege, Hsin-Piao Lin, Getaneh Berie Tarekegn, Yirga Yayeh Munaye, and Lei Yen,  “An Indoor and Outdoor Positioning Using a Hybrid of Support Vector Machine and Deep Neural Network Algorithms,” Journal of Sensors, 2018. https://doi.org/10.1155/2018/1253752
  16. Yirga Yayeh Munaye, Rong-Terng Juang, Hsin-Piao Lin, Getaneh Berie Tarekegn, Ding-Bing Lin, “Radio Resource Allocation for 5G Networks Using Deep Reinforcement Learning”, 2021. https://doi.org/10.1109/WOCC53213.2021.9603111.
  17. Getaneh Berie Tarekegn, Rong-Terng Juang, Hsin-Piao Lin, Yirga Yayeh Munaye, Ding-Bing Lin, “Channel Quality Estimation in 3D Drone Base Stations for Future Wireless Network”, 2021. https://doi.org/10.1109/WOCC53213.2021.9603241.
  18. Y. Y. Munaye, R. -T. Juang, H. -P. Lin and G. B. Tarekegn, “Resource Allocation for Multi-UAV Assisted IoT Networks: A Deep Reinforcement Learning Approach,” International Conference on Pervasive Artificial Intelligence (ICPAI), Taipei, Taiwan, 2020, pp. 15-22. https://doi.org/10.1109/ICPAI51961.2020.00011.
  19. G. B. Tarekegn, R. -T. Juang, H. -P. Lin, Y. Y. Munaye and A. Belay Adege, “Reduce Fingerprint Construction for Positioning IoT Devices Based on Generative Adversarial Nets,” 2020 International Conference on Pervasive Artificial Intelligence (ICPAI), Taipei, Taiwan, 2020, pp. 23-28. https://doi.org/10.1109/ICPAI51961.2020.00012
  20. Adege A.B., Lin HP., Tarekegn G.B., Yayeh Y. “Mobility Prediction in Wireless Networks Using Deep Learning Algorithm.” Advances of Science and Technology. ICAST 2019. Vol 308. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-43690-2_31
  21. Y. Y. Munaye, A. B. Adege, G. B. Tarekegn, Y. Li, H. Lin and S. Jeng, “Deep Learning-Based Throughput Estimation for UAV-Assisted Network,“ 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), Honolulu, HI, USA, 2019, pp. 1-5, doi: 10.1109/VTCFall.2019.8891283. https://doi.org/10.1109/VTCFall.2019.8891283
  22. G. B. Tarekegn, H. Lin, A. B. Adege, Y. Y. Munaye and S. Jeng, “Applying Long Short-Term Memory (LSTM) Mechanisms for Fingerprinting Outdoor Positioning in Hybrid Networks,” 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), Honolulu, HI, USA, 2019, pp. 1-5, Doi: 10.1109/VTCFall.2019.8891309.
  23.   Abebe Belay Adege, Yirga Yayeh, Getaneh Berie, Hsin-Piao Lin, Lei Yen, Yun Ruei Li, “Indoor localization using K-nearest neighbor and artificial neural network back propagation algorithms,” 2018 27th Wireless and Optical Communication Conference (WOCC). https://doi.org/10.1109/WOCC.2018.8372704
  24. Abebe Belay Adege, Lei Yen, Hsin-Piao Lin, Yirga Yayeh, Yun Ruei Li, Shiann-Shiun Jeng, Getaneh Berie, “Applying Deep Neural Network (DNN) for large-scale indoor localization using feed-forward neural network (FFNN) algorithm,” 2018 IEEE International Conference on Applied System Invention (ICASI), 814-817. https://doi.org/10.1109/ICASI.2018.8394387
  25. Yirga Yayeh, Hsin-Piao Lin, Getaneh Berie, Abebe Belay Adege, Lei Yen, Shiann-Shiun Jeng, “Mobility prediction in mobile ad-hoc network using deep learning,” 2018 IEEE International Conference on Applied System Invention (ICASI), 1203-1206. https://doi.org/10.1109/ICASI.2018.8394504
Address

College of Engineering and Technology, Injibara University
Tel: +251 912322171
Email: byyirga@gmail.com