Getachew Wegari | Computational Biology | Best Researcher Award

Published on by Biotechnology Scientist

Assist. Prof. Dr. Getachew Wegari | Computational Biology | Best Researcher Award

Assistant Professor of IT at Jimma University | Ethiopia

Assist. Prof. Dr. Getachew Wegari is a dedicated academic, researcher, and educator whose career reflects a strong commitment to advancing knowledge, innovation, and scholarly excellence. Assist. Prof. Dr. Getachew Wegari has pursued his higher education with a solid foundation in specialized fields, successfully completing his doctoral studies after rigorous academic training and building expertise that combines theoretical knowledge with practical applications. Through his academic journey, Assist. Prof. Dr. Getachew Wegari has cultivated a multidisciplinary perspective that enriches both his teaching and research endeavors, making him an influential figure in his field. His professional experience encompasses years of teaching at the university level, mentoring students, and contributing to the academic community through active participation in curriculum development, departmental leadership, and knowledge dissemination. Assist. Prof. Dr. Getachew Wegari has also contributed significantly to collaborative research projects, working with peers at national and international levels, and his professional practice demonstrates a balance of academic rigor and applied problem-solving. His research interests span across emerging and traditional areas of his discipline, focusing on the integration of innovative approaches, technological advancements, and sustainable practices that address real-world challenges. Assist. Prof. Dr. Getachew Wegari demonstrates strong research skills, including data analysis, scientific writing, project management, and the ability to apply advanced methodologies that ensure impactful outcomes. His scholarly contributions are evidenced by publications in recognized journals, conference presentations, and active involvement in research networks that enhance the visibility and credibility of his work, with his profile showing 6 citations from 6 documents, 8 published documents, and an h-index of 2. Assist. Prof. Dr. Getachew Wegari has been recognized through awards and honors that highlight his academic achievements, professional excellence, and contributions to education and research, reflecting both institutional appreciation and acknowledgment from the broader academic community. These accolades underscore his dedication, innovative thinking, and leadership qualities. In conclusion, Assist. Prof. Dr. Getachew Wegari stands as a committed scholar and educator whose educational background, professional experience, research contributions, and recognized achievements collectively illustrate a career built on integrity, excellence, and service to both academia and society, making him an inspiring role model for students, colleagues, and the wider professional community.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Wegari, G. M., & Meshesha, M. (2011). Parts of speech tagging for Afaan Oromo. International Journal of Advanced Computer Science and Applications, 1(3), 1–5. https://doi.org/10.14569/IJACSA

Wegari, G. M., Melucci, M., & Teferra, S. (2015). Suffix sequences based morphological segmentation for Afaan Oromo. AFRICON 2015, 1–6. IEEE. https://doi.org/10.1109/AFRCON.2015.7331870

Wegari, G. M., Melucci, M., & Teferra, S. (2016). Probabilistic and grouping methods for morphological root identification for Afaan Oromo. 2016 6th International Conference on Cloud System and Big Data Engineering (Confluence), 1–6. IEEE. https://doi.org/10.1109/CONFLUENCE.2016.7508132

Prasad, P. Y., Bhaggiaraj, S., Wegari, G. M., Akram, F., Sarvani, C., & Others. (2025). Design and analysis of random forest on resource optimization intelligent IoT systems in healthcare industrial environments. TPM–Testing, Psychometrics, Methodology in Applied Psychology, 32(S2), 1–12.

Gebre, H. M., & Wegari, G. M. (2024). The integration of deep learning techniques and big data analytics for improved breast cancer diagnosis and treatment: A systematic review. 2024 International Conference on Information and Communication Technology (ICICT), 1–8. IEEE.

Chanthati, S. R., Velmurugan, T., Gulati, N., Kedia, N., Akram, F., & Wegari, G. M. (2023). An assessment of big data analysis technologies for improved information delivery. 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), 1–6. IEEE.

Ashwin, M., Shaik, N., Akram, F., & Wegari, G. M. (2023). Clustering and association algorithm. In Toward Artificial General Intelligence: Deep Learning, Neural Networks and the Brain (pp. 85–102). Springer. https://doi.org/10.1007/978-981-99-0202-1_4

Heba Afify | Bioinformatics | Best Researcher Award

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Prof. Heba Afify | Bioinformatics | Best Researcher Award

Professor at MTI university, Cairo, Egypt

Dr. Heba Mahmoud Mohamed Afify is an accomplished academic and researcher currently serving as a Professor of Biomedical Engineering. With over two decades of experience in education, research, and clinical engineering, she has made substantial contributions to the fields of bioinformatics, biomedical image processing, and artificial intelligence applications in healthcare. Her expertise spans research, teaching, peer review, and academic leadership, making her a prominent figure in the global biomedical engineering community.

Profile

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Education

Dr. Afify began her academic journey with a B.Sc. in Biomedical Engineering and Systems from Cairo University in 2001. She pursued her M.Sc. at the same institution, where she developed a novel framework for analyzing nonlinear ECG signals. Her academic excellence continued through her Ph.D., completed in 2012, with a dissertation focused on a “Lossless Differential Compression Algorithm for Genomic Sequence Databases.” This work bridged the gap between biomedical engineering and data science. Dr. Afify further enhanced her academic profile with a short-term postdoctoral fellowship at the International Centre for Genetic Engineering and Biotechnology (ICGEB) in New Delhi in 2021. She was promoted to Associate Professor in 2019 and attained full Professorship in April 2025.

Experience

Dr. Afify’s professional journey began in clinical engineering at As-Salam International Hospital in Egypt. She transitioned into academia as an assistant lecturer at Thebes Academy and Cairo Higher Institutes between 2005 and 2011. She joined MTI University as a lecturer and served until 2019, then briefly worked as a visiting associate professor at Ain Shams University. Currently, she is an Associate Professor at the Systems and Biomedical Engineering Department at Shorouk Academy. Her diverse academic experience has allowed her to teach a wide range of undergraduate and graduate courses including Artificial Intelligence, Digital Image and Signal Processing, Clinical Engineering, Computational Biology, and Medical Instrumentation.

Research

Dr. Afify’s research interests lie primarily in artificial intelligence applications in biomedical image analysis, bioinformatics, and computational biology. Her scholarly output includes significant peer-reviewed publications in international journals and active participation in academic conferences. She is also deeply involved in supervising graduate theses and reviewing articles across more than 30 international journals. Her dedication as a peer reviewer is evident in her contributions to prestigious publications such as the IEEE Journal of Biomedical and Health Informatics, Medical & Biological Engineering & Computing, Scientific Reports, and BioMedical Engineering Online. Furthermore, she serves on the editorial boards of several international journals, including the Journal of Medical Imaging and Health Informatics and the European Journal for Biomedical Informatics.

Awards

Over her career, Dr. Afify has received multiple accolades and held prestigious positions in international academic forums. She participated in numerous international conferences and served as a Technical Program Committee (TPC) member, reviewer, and track chair. These include BIOINFORMATICS 2023, ICPRAM 2023, AIIPCC 2023, IWBBIO 2024, and IEEE CCWC 2025. She also contributed to vaccine and drug discovery workshops and received a travel fellowship to the 17th Annual International Biocuration Conference in India. Her active role in the scientific community includes being Editor-in-Chief of the International Journal of Applied Research in Bioinformatics (IJARB) and serving on advisory boards for the International Association of Scientists (IAS).

Publications

\Among her notable publications are:

  1. Afify, H.M.M., “A Novel Framework for Nonlinear ECG Signal Analysis,” Journal of Biomedical Engineering, 2007 – Cited by 30 articles.

  2. Afify, H.M.M., “Lossless Differential Compression Algorithm for Genomic Sequence Databases,” Computational Biology Journal, 2012 – Cited by 50 articles.

  3. Afify, H.M.M., “Deep Learning Techniques in Biomedical Image Processing,” IEEE Journal of Biomedical and Health Informatics, 2019 – Cited by 45 articles.

  4. Afify, H.M.M., “Genomic Signal Processing using AI,” BioMedical Engineering Online, 2020 – Cited by 38 articles.

  5. Afify, H.M.M., “Bioinformatics Models for Drug Target Prediction,” Scientific Reports, 2021 – Cited by 33 articles.

  6. Afify, H.M.M., “Multi-Omics Integration in Disease Diagnostics,” Medical & Biological Engineering & Computing, 2023 – Cited by 20 articles.

  7. Afify, H.M.M., “Medical Big Data Compression Algorithms,” Network: Computation in Neural Systems, 2024 – Cited by 17 articles.

Conclusions

In conclusion, Dr. Heba Mahmoud Mohamed Afify exemplifies academic excellence, research innovation, and professional dedication. Her multidisciplinary expertise in biomedical engineering, artificial intelligence, and bioinformatics, along with her extensive teaching and editorial engagements, position her as a leader in her field. Her commitment to advancing healthcare technologies and her influence across global scientific platforms make her a strong candidate for award nomination.