Ass. Prof at Wallaga University, Ethiopia
Dr. Obsa Gilo Wakuma is a dedicated researcher and academician with a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna, where his thesis focused on “Deep Learning Approaches for Efficient Domain Adaptation.” He holds an M.Sc. in Computer Science (CGPA: 3.78) and a B.Sc. in Computer Science (CGPA: 3.56) from Wallaga University, Ethiopia.Dr. Obsa Gilo Wakuma continues to contribute to the academic and research community with his expertise in deep learning and domain adaptation, leveraging his strong background in computer science and engineering to drive innovative solutions.
🎓 Education:
- Ph.D. in Computer Science and Engineering, IIT Patna (2024)
- M.Sc. in Computer Science, Wallaga University (2018)
- B.Sc. in Computer Science, Wallaga University (2014)
- XII Class, Sibu Sire Preparatory School (2010)
- X Class, Sibu Sire High School (2008)
💼 Work Experience:
Dr. Wakuma began his professional journey as a Recorder at Wallaga University’s main Registrar in Oromia, Ethiopia, from October 2014 to June 2015. He then served as a Laboratory Technician at Wallaga University’s Shambu campus until February 2016. From February 2016 to September 2018, he worked as a Graduate Assistant (GA-II) at Wallaga University, eventually becoming a Lecturer from February 2019 to September 2019. From September 2019 to December 2023, he was a Research Scholar at IIT Patna.
📚 Research Focus:
Dr. Wakuma’s research primarily revolves around deep learning and domain adaptation. His notable publications include articles in prestigious journals such as Expert Systems with Applications, Pattern Analysis and Applications, IEEE Access, and the Journal of Visual Communication and Image Representation. His work often explores robust unsupervised deep sub-domain adaptation and optimal transport for image classification.
🛠️ Skills:
Dr. Wakuma possesses strong competencies in multiple languages, including English, Afaan Oromoo, and Amharic. His technical skills encompass programming languages such as Java, PHP, Python, C, C++, and R. He is proficient in databases like MySQL, PostgreSQL, HSQL, and SQLite, and has experience in web development using HTML, CSS, JavaScript, and Apache Web Server. Additionally, he is skilled in academic research, teaching, training, consultation, and community service.
Research and Publications
- Journal Articles: Published in prestigious journals such as “Expert Systems with Applications,” “Pattern Analysis and Applications,” “IEEE Access,” and “Journal of Visual Communication and Image Representation.” Topics covered include domain adaptation in sensor data, subdomain adaptation via correlation alignment, robust unsupervised deep sub-domain adaptation, and unsupervised sub-domain adaptation using optimal transport.
- Conference Proceedings: Presented at the IEEE 19th India Council International Conference (INDICON), discussing the integration of discriminate features and similarity preserving for unsupervised domain adaptation.
Conclusion
Given his strong academic background, extensive research publications, practical skills, and teaching experience, Obsa Gilo Wakuma is a highly suitable candidate for the Best Researcher Award. His contributions to the field of computer science, particularly in deep learning and domain adaptation, demonstrate a high level of expertise and impact, making him deserving of such recognition.
📜 Publications:
- Unsupervised sub-domain adaptation using optimal transport
O. Gilo, J. Mathew, S. Mondal, R.K. Sanodiya
Journal of Visual Communication and Image Representation (2023)
🖼️🔄🚚
- Subdomain adaptation via correlation alignment with entropy minimization for unsupervised domain adaptation
O. Gilo, J. Mathew, S. Mondal, R.K. Sanodiya
Pattern Analysis and Applications (2024)
📊🔄🌐
- Integration of Discriminate Features and Similarity Preserving for Unsupervised Domain Adaptation
O. Gilo, J. Mathew, S. Mondal
2022 IEEE 19th India Council International Conference (INDICON) (2022)
📚🔍🤝
- Kernelized Bures metric: A framework for effective domain adaptation in sensor data analysis
O. Gilo, J. Mathew, S. Mondal
Expert Systems with Applications (2024)
📈🔄🔬
- RDAOT: Robust Unsupervised Deep Sub-domain Adaptation through Optimal Transport for Image Classification
O. Gilo, J. Mathew, S. Mondal, R.K. Sanodiya
IEEE Access (2023)
🖼️🔄🧠
- Information Extraction For Afaan Oromo News Texts Using Hybrid Approach
O. Gilo
Journal of Innovation in Computer Science and Engineering (2019)
📰🔍🇪🇹
- Unified Domain Adaptation with Discriminative Features and Similarity Preservation
O. Gilo, J. Mathew, S. Mondal
(Journal/Conference not specified)
🔄🌐🤝