Ashenafi Gebremarian | Public Health | Editorial Board Member

Published on by Global Diseases Research

Assoc. Prof. Dr. Ashenafi Gebremarian | Public Health | Editorial Board Member

Huazhong Agricultural University | China

Assoc. Prof. Dr. Ashenafi Gebremariam is an emerging scholar and academic professional at Huazhong Agricultural University, Wuhan, China, recognized for his early yet growing contributions to agricultural and veterinary sciences. His Scopus-indexed research portfolio includes two peer-reviewed publications supported by two citations, reflecting the initial stages of academic impact and the steady visibility of his work in global scholarly circles. With an h-index of 1, he demonstrates a developing research trajectory that is expanding through specialized studies in animal health, agricultural biotechnology, and related life-science disciplines. Dr. Gebremariam’s collaboration with at least eight co-authors signals his active engagement in multidisciplinary research environments and underscores his commitment to knowledge exchange, methodological rigor, and international scientific cooperation. His academic affiliation with a leading agricultural institution places him at the forefront of research aimed at enhancing food security, livestock productivity, and sustainable agricultural systems. Although his publication record is still in its formative phase, his contributions reflect a clear dedication to generating evidence-based insights that address societal needs, support innovation, and strengthen global agricultural resilience. As his research continues to evolve, Assoc. Prof. Dr. Gebremariam is positioned to expand his scholarly influence through high-quality publications, impactful collaborations, and continued advancement in the fields of veterinary and agricultural sciences.

Profiles: Scopus | ORCID

Featured Publications

1.Shi, Y., Peng, G., Gebremariam, A. A., Iqbal, M. M., Baghaei Daemi, H., Khan, M. A., Ullah, R., & Wang, D. (2024). Analytical insights, modulation and compositional dynamics of the feline gut microbiota: a review. Animal Diseases, Article 00140. Cited by: 2.

2. Fentie, T., Teshome, Y., Ayele, B., Molla, W., Fenta, N., Nigatu, S., Assefa, A., & Leta, S. (2018). Sero-epidemiological study of peste des petits ruminants in small ruminants in Amhara region, Ethiopia. Comparative Clinical Pathology, 27(4), 1029–1036. https://doi.org/10.1007/s00580-018-2697-2 — Cited by: 15.

3. Fentie, T., Fenta, N., Leta, S., Molla, W., Ayele, B., Teshome, Y., Nigatu, S., & Assefa, A. (2017). Sero-prevalence, risk factors and distribution of sheep and goat pox in Amhara Region, Ethiopia. BMC Veterinary Research, 13, Article 385. https://doi.org/10.1186/s12917-017-1312-0 — Citation count not reliably available from publicly accessible sources at this time

Assoc. Prof. Dr. Ashenafi Gebremariam advances veterinary and agricultural science through research that strengthens animal health, productivity, and sustainable livestock systems. His work contributes to improved disease understanding and supports innovations that enhance food security and the resilience of global animal agriculture.

Monica Bhutani | Public Health | Editorial Board Member

Published on by Global Diseases Research

Dr. Monica Bhutani | Public Health | Editorial Board Member

Associate Professor | Bharati Vidyapeeth’s College of Engineering | India

Dr. Monica Bhutani is a distinguished researcher and academician at Bharati Vidyapeeth’s College of Engineering, New Delhi, India, recognized for her extensive contributions to computer science, information technology, and interdisciplinary innovations in artificial intelligence (AI), Internet of Things (IoT), and secure computing. With over 52 publications and 108 citations across 77 documents, her research demonstrates a strong commitment to advancing digital intelligence frameworks, data security architectures, and sustainable technological systems. Her recent works, including studies on AI-IoT convergence for sustainable agriculture, information dissemination networks, and secure image encryption using optimized chaotic sequences, highlight her focus on developing smart, energy-efficient, and cyber-resilient systems that address modern digital and environmental challenges. Dr. Bhutani’s scholarly collaborations with over 140 co-authors worldwide reflect her global engagement and interdisciplinary outlook, fostering impactful research networks across academia and industry. Her authorship of the book “Development and Management of Eco-Conscious IoT Medical Devices” further underscores her vision for integrating technology with environmental and healthcare sustainability. With an h-index of 6, she has consistently contributed to the global dialogue on intelligent systems design, information security, and digital transformation. Dr. Bhutani’s academic and research pursuits exemplify excellence in engineering education and innovation, bridging scientific theory with practical solutions that enhance societal well-being through technology-driven sustainability, secure communication systems, and data-driven decision-making.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Bhutani, M., Lall, B., & Agrawal, M. (2022). Optical wireless communications: Research challenges for MAC layer. IEEE Access, 10, 126969–126989. Cited by: 30

2. Goyal, R., Elawadhi, O., Sharma, A., Bhutani, M., & Jain, A. (2024). Cloud-connected central unit for traffic control: Interfacing sensing units and centralized control for efficient traffic management. International Journal of Information Technology, 16(2), 841–851. Cited by: 18

3. Bhutani, M., Lall, B., & Dixit, A. (2021). MAC layer performance modelling for IEEE 802.15.7 based on discrete-time Markov chain. IET Communications, 15(14), 1883–1896. Cited by: 14

4. Dr. Karthick Ganesan, D. M. B., Radhakrishnan, K., Manohar, K., & Bhutani, M. (2024). Automated dairy cow health monitoring and milking machine. US Patent 6,382,814. Cited by: 13*

5. Bhutani, M., Lall, B., & Agrawal, M. (2023). A novel energy-efficient adaptive superframe structure for OWC-based real-time bio-sensor networks. Peer-to-Peer Networking and Applications, 16(6), 3021–3031. Cited by: 10