Dr. Yirga Yayeh Munaye | security | Best Researcher Award

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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

 

Roseline Ogundokun | Information Security | Women Researcher Award

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Dr. Roseline Ogundokun | Information Security | Women Researcher Award

Lecturer, Landmark University Omu-Aran, Nigeria

🎓 Dr. Roseline Oluwaseun Ogundokun is a dedicated academic and researcher who is passionate about advancing knowledge in Computer Science and solving real-world problems through Artificial Intelligence (AI), Machine Learning (ML), and Medical Imaging. She has a strong focus on interdisciplinary research and is driven to make impactful contributions to society through her work. With her vast experience in teaching and research, Dr. Ogundokun is shaping the next generation of computer scientists and engineers.

Publication Profile

Strengths for the Award:

  • Diverse Research Focus: Dr. Roseline Oluwaseun Ogundokun’s extensive research interests in Artificial Intelligence, Computer Vision, Deep Learning, and Medical Imaging positions her as a key contributor in fields with high impact. Her work in Machine Learning, Data Science, and Information Security also addresses pressing global issues.
  • Academic Excellence: With two Ph.D. pursuits—one completed in Computer Science and another ongoing in Multimedia Engineering—she exemplifies academic dedication. This diverse educational background reflects her determination to explore interdisciplinary solutions to real-world challenges.
  • Teaching Expertise: She has taught a wide range of courses, including Software Engineering Process, System Analysis, and Operating Systems, highlighting her role in shaping the next generation of computer scientists. Her teaching portfolio showcases versatility and depth in both foundational and advanced computing concepts.
  • Award-Winning Contributions: Dr. Ogundokun has received numerous awards, including a Cash Award for Poster Presentation at Deep Learning Indaba 2024 and multiple recognitions as a Top Nigerian Author on Scopus. These accolades emphasize her impact in both research and the academic community.
  • Global Collaborations: Her recent publications demonstrate global collaboration with researchers across countries, contributing to cutting-edge AI models, including the PulmoNet detection model for pulmonary diseases and a novel smartphone application for early disease detection. These innovations have potential for widespread societal benefits.

Areas for Improvement:

  • Focused Research Output: While Dr. Ogundokun has made notable contributions across several research domains, focusing on a few critical areas—such as medical imaging and AI for healthcare—could help solidify her standing as an expert and further boost her international recognition.
  • International Exposure: Although her research spans multiple countries, increasing participation in global conferences, particularly as a keynote speaker or panel expert, could elevate her visibility in the international research community.
  • Industry Collaboration: Strengthening collaborations with industry partners, particularly in AI-driven medical applications, would further highlight her work’s real-world impact and relevance.

Education

📚 Dr. Ogundokun holds multiple prestigious degrees, including a PhD in Computer Science from the University of Ilorin, Nigeria (2015-2022), and is currently pursuing another PhD in Multimedia Engineering from Kaunas University of Technology, Lithuania (2021-2025). She also earned an MSc in Computer Science from the University of Ilorin (2010-2013) and a BSc in Management Information System from Covenant University, Nigeria (2004-2008). Her academic journey reflects her continuous quest for excellence and specialization.

Experience

👩‍🏫 Dr. Ogundokun has taught numerous courses across computer science and software engineering, including topics such as Computer Programming, Software Engineering, Data Communication, and Medical Imaging. Her extensive teaching portfolio includes courses like System Analysis and Design, Operating Systems, and Data Management, showcasing her versatility in the field of computing and technology.

Research Focus

🔍 Dr. Ogundokun’s research interests span Artificial Intelligence, Computer Vision, Deep Learning, Medical Imaging, Machine Learning, Data Science, and Information Security. She is particularly focused on solving health-related problems through AI-driven models and systems, including pulmonary disease detection and sarcasm detection in social media through LSTM models.

Awards and Honours

🏅 Throughout her career, Dr. Ogundokun has received numerous awards, including a $250 Cash Award for Poster Presentation at the Deep Learning Indaba in Senegal (2024) and an Award of Recognition for her contributions as an SGD 4 Champion (2024). She has also been recognized multiple times as one of the top 500 Nigerian authors on Scopus and has been celebrated for her selfless service as a departmental exam officer.

Publication Top Notes

📝 Dr. Ogundokun has contributed significantly to the scientific community through her impactful publications. Notable works include research on deep learning for pulmonary disease detection, attention-based models for detecting sarcasm in social media, and the development of innovative AI-driven applications for healthcare.

“A Novel Insertion Solution for the Travelling Salesman Problem.” Computers, Materials & Continua. DOI: 10.32604/cmc.2024.047898
Cited by 12 articles.

“PulmoNet: A Novel Deep Learning Based Pulmonary Diseases Detection Model.” BMC Medical Imaging, 24(1), 51. Link
Cited by 8 articles.

“A Novel Smartphone Application for Early Detection of Habanero Disease.” Scientific Reports, 14(1), 1423. Link
Cited by 5 articles.

“Utilizing an Attention-Based LSTM Model for Detecting Sarcasm and Irony in Social Media.” Computers, 12(11), 231. Link
Cited by 10 articles.

“Dark and Light Triad: A Cross-Cultural Comparison of Network Analysis in 5 Countries.” Personality and Individual Differences, 215, 112377. Link

Conclusion:

Dr. Roseline Oluwaseun Ogundokun is an outstanding candidate for the Research for Women Researcher Award. Her research, which addresses societal challenges through AI, machine learning, and medical technologies, aligns perfectly with the award’s goals. Her academic accomplishments, global research contributions, and numerous accolades underscore her potential to inspire future generations and drive meaningful change in technology and healthcare. Strengthening her international and industry engagements could further enhance her profile as a leading researcher.