Aleka Melese Ayalew is an Ethiopian male with a Master’s degree in Information Technology from the University of Gondar. He is currently employed as an Information Technology Lecturer and Researcher at the same university. With a strong academic background and expertise in artificial intelligence, machine learning, and deep learning, Aleka has made significant contributions to the field through his research and publications. He is proficient in both English and his mother tongue, Amharic.
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Aleka Melese Ayalew has a prolific publication record, with over 12 articles published in reputable journals. His research spans various domains such as COVID-19 detection, disease classification, sentiment analysis, and more. He has also served as a peer reviewer for multiple journals, contributing to the academic community by critically evaluating research and providing constructive feedback.
Citations: Aleka’s publications have been cited a total of 119 times since 2019, indicating the influence and relevance of his research within the academic community.
h-index: With an h-index of 6 since 2019, Aleka has published at least 6 papers that have each been cited at least 6 times, demonstrating a consistent level of impact in his field.
i10-index: Aleka’s i10-index, which measures the number of publications with at least 10 citations, is 3 since 2019, indicating the presence of 3 papers with 10 or more citations during this period. This metric further underscores the significance of his research output.
Education:
Aleka Melese Ayalew holds a Bachelor of Science degree in Information Technology from Adigrat University, earned between 2014 and 2017. He further pursued his academic journey by obtaining a Master’s degree in Information Technology from the University of Gondar, completing it in 2021.
Research Focus:
Aleka’s research focuses primarily on artificial intelligence, machine learning, and deep learning, with applications in various domains such as healthcare (COVID-19 detection, disease classification), sentiment analysis, and IoT.
Professional Journey:
Aleka Melese Ayalew’s professional journey began in 2018 when he joined the University of Gondar as an Information Technology Lecturer and Researcher. Since then, he has been actively involved in course design, classroom instruction, research, article publication, mentoring, advising, assessment, and evaluation.
Honors & Awards:
Throughout his academic and professional career, Aleka has been recognized for his outstanding contributions. He has received awards for outstanding contributions during the Trachoma Control Program Impact Assessment and for good academic performance during his time at Adigrat University.
Publications Noted & Contributions:
Aleka has contributed significantly to the academic community through his publications. Notable contributions include research on COVID-19 detection, disease classification, sentiment analysis, and IoT applications. He has published over 12 articles in reputable journals and has also served as a peer reviewer for multiple journals.
Atelectasis detection in chest X-ray images using convolutional neural networks and transfer learning with anisotropic diffusion filter
Journal: Informatics in Medicine Unlocked
Year: 2024
DOI: 10.1016/J.IMU.2024.101448
Contributors: Aleka Melese Ayalew, Yohannes Agegnehu Bezabih, Biniyam Mulugeta Abuhayi, Asemrie Yemata Ayalew
Classification of pumpkin disease by using a hybrid approach
Journal: Smart Agricultural Technology
Year: 2024
DOI: 10.1016/J.ATECH.2024.100398
Contributors: Yohannes Agegnehu Bezabh, Biniyam Mulugeta Abuhayi, Aleka Melese Ayalew, Asegie, Habtamu Ayenew
Lumbar Disease Classification Using an Involutional Neural Based VGG Nets (INVGG)
Journal: IEEE Access
Year: 2024
DOI: 10.1109/ACCESS.2024.3367774
Contributors: Biniyam Mulugeta Abuhayi, Yohannes Agegnehu Bezabh, Aleka Melese Ayalew
X-ray image-based pneumonia detection and classification using deep learning
Journal: Multimedia Tools and Applications
Year: 2024
DOI: 10.1007/S11042-023-17965-4
Contributors: Asnake, Nigus Wereta; Salau, Ayodeji Olalekan; Aleka Melese Ayalew
Classification of Mango Disease Using Ensemble Convolutional Neural Network
Journal: Smart Agricultural Technology
Year: 2024 (May)
DOI: 10.1016/j.atech.2024.100476
Contributors: Yohannes Agegnehu Bezabh, Aleka Melese Ayalew, Biniyam Mulugeta Abuhayi, Tensay Nigussie Demlie, Eshete Ayenew Awoke, Taye Endeshaw Mengistu
Research Timeline:
Aleka Melese Ayalew’s research timeline reflects a continuous dedication to academic and professional growth. Starting from his undergraduate years in 2014, he progressed to obtain his Master’s degree in 2021. Throughout this journey, he has actively engaged in research, publication, and peer review activities.
Collaborations and Projects:
Aleka has collaborated with colleagues and researchers in various projects and conferences. Notable collaborations include working with Dr. Belay Enyew and Dr. Yelkal Mulualem at the University of Gondar. He has also participated in conferences such as the International Conference on Decision Aid Sciences and Applications and the Deep Learning Indaba Conference.