Office Hours
- Walk-in or by appointment
Education
- Ph.D., Computer Engineering, Ajou University, 2017
- M.Sc., Computer Engineering, Ajou University, 2012
- B.Sc., Computer Science, Addis Ababa University, 2007
Courses Taught
- CS151 - Introduction to Programming with Python
- CS701 - Introduction to Programming
Publications
- Khan, Muhammad Toaha Raza, Yalew Zelalem Jembre, Malik Muhammad Saad, Safdar Hussain Bouk, Syed Hassan Ahmed, and Dongkyun Kim. "Proactive Content Retrieval Based on Value of Popularity in Content-Centric Internet of Vehicles." IEEE Transactions on Intelligent Transportation Systems (2024).
- Zelalem Jembre, Yalew; Jung, Woon-young; Attique, Muhammad; Paul, Rajib; Kim, Beomjoon; Mobile Broadband Performance Evaluation: Analysis of National Reports MDPI-Electronics 2022
- Zeberga, Kamil; Attique, Muhammad; Shah, Babar; Ali, Farman; Jembre, Yalew Zelalem; Chung, Tae-Sun; A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model Computational Intelligence and Neuroscience 2022
- Khan, Muhammad Toaha Raza; Jembre, Yalew Zelalem; Saad, Malik Muhammad; Shah, Syed Hassan Ahmed; Kim, Dongkyun; Pop-Vndn: Proactive On-Path Content Prefetching in Vehicular Named Data Networks Available at SSRN 4058929 2022
- Shamim, Azra; Qureshi, Muhammad Ahsan; Jabeen, Farhana; Liaqat, Misbah; Bilal, Muhammad; Jembre, Yalew Zelalem; Attique, Muhammad; Multi-Attribute Online Decision-Making Driven by Opinion Mining MDPI-Mathematics 2021
- Jembre, Yalew Zelalem; Nugroho, Yuniarto Wimbo; Khan, Muhammad Toaha Raza; Attique, Muhammad; Paul, Rajib; Shah, Syed Hassan Ahmed; Kim, Beomjoon; Evaluation of Reinforcement and Deep Learning Algorithms in Controlling Unmanned Aerial Vehicles MDPI-Applied Sciences 2021
Areas of Specialization
- Cognitive Radio Networks (CRNs) and Dynamic Spectrum Access (DSA)
- Spectrum sensing and detection
- Secondary Users Rendezvous
- Multi-hop Wireless Networks (MWNs) (IEEE 802.11, 802.15.4)
- Medium Access Control and Routing protocols
- Named Data Networking
- Ad hoc, Mesh, Vehicular, Underwater, IoT, and Sensor Networks
- Machine Learning and Neural Networks (ML & NN)
- Application of ML and NN in MWNs and CRNs