Dr. Yirga Yayeh Munaye | security | Best Researcher Award

Dr. Yirga Yayeh Munaye | secuirty | Best Researcher Award

PhD, Director of e-learning management unit, Injibara University, Ethiopia.

Dr. Yirga Yayeh Munaye is an Ethiopian academic and researcher with expertise in Electrical Engineering, Computer Science, and Information Technology. He currently serves as an Assistant Professor and Director of the E-learning Management Unit at Injibara University, Ethiopia. With a Ph.D. from National Taipei University of Technology, Taiwan, Dr. Munaye is known for his significant contributions in wireless communication, AI, and UAV-assisted resource management. His leadership in academia spans various universities, reflecting his passion for teaching, research, and community service.

Publication Profile

Google Scholar

🎓 Education Background

Dr. Munaye earned his Ph.D. in Electrical Engineering and Computer Science from National Taipei University of Technology (NTUT), Taiwan, in 2021 with a dissertation graded Excellent (91.4/100). Prior to that, he obtained an M.Sc. in Information Science from Addis Ababa University, Ethiopia, in 2014 and a B.Sc. in Information Technology from Bahir Dar University in 2009. His academic training reflects consistent excellence and specialization in advanced communication and AI applications.

👨‍🏫 Professional Experience

Dr. Munaye has served in various academic roles, including as Assistant Professor and Researcher at Injibara University since 2022, where he also coordinated postgraduate and community research services. Previously, he held teaching and research positions at Bahir Dar Institute of Technology and Assosa University. He has mentored Master’s and Ph.D. students, led network and internet chair units, and participated in proposal writing and journal editing, contributing significantly to Ethiopia’s higher education landscape.

🏆 Awards and Honors

Dr. Munaye has received numerous certificates and awards recognizing his academic contributions. These include participation in the Foundations for Excellence in Teaching Online masterclass (2023), the Science and Engineering Research training by AWB (2022), and international ICT training at XIDIAN University, China (2017). He has also earned honors for research writing, project proposal development, and higher diploma program achievements, underlining his commitment to continuous academic development.

🔬 Research Focus

Dr. Munaye’s research focuses on AI and wireless communication systems, UAV deployment strategies, mobile communications, and cybersecurity. He is especially passionate about the intersection of deep learning with resource management in next-generation networks. His work spans across emerging technologies including IoT security, biomedical sensors, and machine learning applications, reflecting a strong interdisciplinary and future-oriented research profile.

✅ Conclusion

With a career rooted in excellence, leadership, and innovation, Dr. Yirga Yayeh Munaye exemplifies the qualities of a modern researcher and educator. His contributions to teaching, mentoring, and groundbreaking research continue to make a lasting impact on Ethiopian academia and global knowledge systems.

📚 Top Publications Notes

  1. Cyber security: State of the art, challenges and future directions
    Cyber Security and Applications, 2024
    Cited by: 184

  2. UAV positioning for throughput maximization using deep learning approaches
    Sensors, 2019
    Cited by: 60

  3. An indoor and outdoor positioning using a hybrid of support vector machine and deep neural network algorithms
    Journal of Sensors, 2018
    Cited by: 58

  4. Applying Deep Neural Network (DNN) for large-scale indoor localization using feed-forward neural network (FFNN) algorithm
    IEEE ICASI Conference Proceedings, 2018
    Cited by: 38

  5. Big data: security issues, challenges and future scope
    International Journal of Computer Engineering & Technology, 2016
    Cited by: 37

  6. Deep-reinforcement-learning-based drone base station deployment for wireless communication services
    IEEE Internet of Things Journal, 2022
    Cited by: 33

  7. Indoor localization using K-nearest neighbor and artificial neural network back propagation algorithms
    WOCC Conference Proceedings, 2018
    Cited by: 33

  8. Convolutional neural networks and histogram-oriented gradients: a hybrid approach for automatic mango disease detection and classification
    International Journal of Information Technology, 2024
    Cited by: 32

 

Assoc. Prof. Dr. Sixto Enrique Campaña Bastidas | Internet of Things | Best Researcher Award

Assoc. Prof. Dr. Sixto Enrique Campaña Bastidas | Internet of Things | Best Researcher Award

Researcher Professor, Universidad Nacional Abierta y a Distancia – UNAD, Colombia

Dr. Sixto Enrique Campaña Bastidas is a distinguished researcher and academic in the field of telecommunications, wireless sensor networks, and telemedicine. Based in Colombia, he has made significant contributions to technological advancements in healthcare and assistive navigation systems. As an Associate Professor and Researcher at Universidad Nacional Abierta y a Distancia (UNAD), he has played a pivotal role in developing innovative solutions for real-world challenges. His expertise in wireless sensor networks (WSN) and telemedicine has led to groundbreaking research in medical monitoring and assistive technology for visually impaired individuals.

Publication Profile

🎓 Education

Dr. Campaña Bastidas holds a Ph.D. in Engineering with a specialization in Telecommunications from Universidad Pontificia Bolivariana. He also earned a Master’s degree in Software Libre from Universidad Autónoma de Bucaramanga, focusing on telecommunications. His academic journey includes a specialization in Networks and Telematic Services from Universidad del Cauca and an Engineering degree in Systems from Universidad Mariana. Additionally, he has received certifications as a CCNA CISCO Instructor and completed a diploma in Linux, further strengthening his technical foundation.

💼 Experience

With over two decades of experience in academia and industry, Dr. Campaña Bastidas has held key positions across multiple organizations. He has been an Associate Professor and Researcher at UNAD since 2001, contributing to cutting-edge research and innovation. His leadership roles include serving as Director of CEAD Pasto at UNAD and a faculty member at IU CESMAG and Universidad Mariana. He has also worked in various governmental and corporate roles, including the Alcaldía de Pasto, Comfamiliar de Nariño, PricewaterhouseCoopers, and the Departamento Nacional de Planeación, where he provided expert guidance in systems engineering and modernization projects.

🏆 Awards and Honors

Dr. Campaña Bastidas has received recognition for his contributions to research and academia. His work in wireless sensor networks and telemedicine has been widely acknowledged in national and international conferences and journals. He has been a key contributor to research initiatives that enhance medical monitoring and assistive technologies, earning respect from the academic and professional community.

🔬 Research Focus

Dr. Campaña Bastidas specializes in wireless sensor networks, telemedicine, and telecommunications. His research revolves around developing smart systems for medical monitoring, assistive technologies for visually impaired individuals, and intelligent healthcare solutions. His studies in machine learning, fuzzy logic, and real-time monitoring systems have advanced the application of technology in medicine and navigation. His contributions have influenced the development of wearable devices, smart sensors, and AI-driven health diagnostics.

🔍 Conclusion

Dr. Sixto Enrique Campaña Bastidas is a leading researcher and academic dedicated to advancing wireless sensor networks, telemedicine, and assistive technologies. His interdisciplinary expertise in telecommunications, machine learning, and AI-driven healthcare solutions has positioned him as a key figure in technological innovation. With a wealth of experience in both academia and industry, he continues to contribute to the global scientific community through impactful research and groundbreaking discoveries. 🚀

📚 Publications

Implementación de técnicas de machine learning para la identificación de patrones que inciden en los determinantes sociales del municipio de Tumaco – Nariño (2024) – DOI

Path planning for assisting blind people in purposeful navigation (2022, Indonesian Journal of Electrical Engineering and Computer Science) – DOI

Vision‐Based System for Assisting Blind People to Wander Unknown Environments in a Safe Way (2021, Journal of Sensors) – DOI

Methodology to build a wearable system for assisting blind people in purposeful navigation (2020, ICICT Conference) – DOI

Sistema en tiempo real para el monitoreo de variables médicas en pacientes hospitalizadas con redes WSN (2019, Publicaciones e Investigación) – DOI

Redes de sensores Inalámbricas (WSN) caso de aplicación (2018, Book) – DOI

Sistema en tiempo real para el monitoreo de variables médicas en pacientes hospitalizadas con redes WSN (2017, Publicaciones e Investigación) – DOI

Fuzzy Intelligent System for Patients with Preeclampsia in Wearable Devices (2017, Mobile Information Systems) – DOI

Fuzzy intelligent system for supporting preeclampsia diagnosis from the patient biosignals (2016, Lecture Notes in Computer Science) – DOI