Chalachew Yenew Dinku | AI in Healthcare | Best Researcher Award

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Mr. Chalachew Yenew Dinku | AI in Healthcare | Best Researcher Award

Lecturer at Debre Tabor Univesrity, Ethiopia.

Chalachew Yenew Dinku is a highly skilled Environmental and Public Health researcher and educator with over nine years of experience. His work focuses on antimicrobial resistance (AMR), public health emergency management, infection control, One Health, and environmental health sciences. Chalachew completed his Master’s in Environmental Health Sciences from Jimma University with excellent academic standing (CGPA: 3.83/4.00) and an undergraduate degree in Environmental and Occupational Health and Safety from the University of Gondar. His passion for microbial contamination and public health has led him to significant contributions in academia and research. He is currently a Lecturer at Debre Tabor University, where he is involved in research, teaching, and mentoring, while also holding leadership roles in national health initiatives.

Profile

Orcid

Education

Chalachew Yenew Dinku’s academic journey began with a Bachelor’s degree in Environmental and Occupational Health and Safety from the University of Gondar (CGPA: 3.75/4.00), where he graduated with distinction. He later pursued a Master’s degree in Environmental Health Sciences from Jimma University, graduating with great distinction (CGPA: 3.83/4.00). His research during his Master’s focused on antimicrobial resistance contamination pathways, which significantly contributed to the field with multiple peer-reviewed publications. In addition to formal degrees, Chalachew has engaged in several short-term training programs related to infection prevention and control, public health emergency surveillance, and curriculum development.

Experience

Chalachew has accumulated diverse experience in public health and academia. As a Lecturer at Debre Tabor University since 2017, he teaches both undergraduate and postgraduate students while also supervising their research projects. His responsibilities also include writing research grant proposals, conducting high-quality research, and publishing papers in top-tier journals. He has been part of many national and international health projects, such as those dealing with AMR and scabies prevention, securing significant research funding. Before his academic tenure, Chalachew worked as a Public Health Officer in the Amhara region, focusing on health education and disease prevention, and later as a Surveillance Officer with Ohio State University’s Global One Health Initiative. His work there involved disease surveillance and public health emergency response.

Research Interests

Chalachew’s research interests are centered on antimicrobial resistance (AMR), One Health approaches, infection control, public health emergency management, and environmental health. He has made notable contributions to understanding AMR contamination pathways and effective mitigation strategies. His research also delves into aflatoxin contamination in food systems, the burden of chemical poisoning, and the public health impact of emerging infectious diseases such as mpox. Chalachew’s work highlights the intersection of environmental health and public health issues, aiming to improve disease prevention and control measures in both local and global contexts.

Awards

Chalachew has received several awards and recognitions throughout his academic and professional career. He was awarded the International Institute for Primary Healthcare Research Grant to fund his Master’s thesis on AMR contamination pathways. During his undergraduate studies, his research was recognized at a national conference, a testament to his early contributions to the field. His excellence in research and teaching has earned him continued respect from both peers and students, solidifying his place as an influential figure in environmental and public health research.

Publications

Chalachew Yenew Dinku has authored and co-authored several publications in high-impact, peer-reviewed journals. Notable articles include:

“A Mixed-Method study on Antimicrobial Resistance Drivers in Neonatal Intensive Care Units: Pathways, Risks, and Solutions” (Antimicrobial Resistance & Infection Control, 2025).

“Effective Advanced technologies and One Health Mitigation strategies of Aflatoxin Contamination in Peanut Oil” (Food Science & Nutrition, 2023).

“Burden of Chemical Poisoning and Contributing Factors in the Amhara Region, Ethiopia” (BMC Public Health, 2024).

“Intention to receive COVID-19 vaccine and its health belief model-based predictors: A systematic review and meta-analysis” (Human Vaccines & Immunotherapeutics, 2023).

“Aflatoxin contamination of animal feeds and its predictors among dairy farms in Northwest Ethiopia: One Health approach implications” (Frontiers in Veterinary Science, 2023).

“Raw cow milk nutritional content and microbiological quality predictors of South Gondar zone dairy farmers in Ethiopia” (Heliyon, 2022).

“Assessing healthcare workers’ confidence level in diagnosing and managing emerging infectious virus of human mpox in hospitals in Amhara Region” (BMJ Open, 2023).

Conclusion

Chalachew Yenew Dinku’s career is dedicated to advancing the field of public health through research, education, and active engagement in community health initiatives. His contributions to understanding antimicrobial resistance, environmental health, and public health emergencies have made a significant impact on both local and international health systems. As an academic, he continues to inspire and mentor the next generation of public health professionals, while his research work remains at the forefront of addressing critical health challenges. His dedication to improving global public health through evidence-based strategies highlights his commitment to a healthier, more sustainable world.

Abu Sarwar Zamani | AI in Healthcare | Best Researcher Award

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Dr. Abu Sarwar Zamani | AI in Healthcare | Best Researcher Award 

Asst. Professor | Prince Sattam bin Abdulaziz University | Saudi Arabia

Dr. Abu Sarwar Zamani is a dedicated and disciplined academic and research professional with over 15 years of experience. Specializing in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Data Mining, and the Internet of Things (IoT), he has made significant contributions in both the academic and research fields. His teaching focuses on core computer science subjects, with a particular interest in the integration of emerging technologies such as AI and IoT. His professional journey reflects a passion for knowledge sharing and innovative research, contributing to scientific advancements in computer science and technology. Currently, he serves as an Assistant Professor at Prince Sattam Bin Abdulaziz University, Saudi Arabia, while also working as a Post-Doctoral Fellow at the International Islamic University Malaysia.

Profile

Scholar

Education

Dr. Zamani’s academic foundation includes a Ph.D. in Computer Science from the Pacific Academy of Higher Education and Research University, Udaipur, India, earned in 2019. Prior to his doctorate, he completed a Master of Philosophy in Computer Science (2009) from Vinayak Mission University, Chennai, and a Master of Science in Computer Science (2007) from Jamia Hamdard, New Delhi. His undergraduate studies were in Computer Applications at MCRP, Bhopal, India (2002). This extensive academic background, paired with his continuous pursuit of knowledge, has laid the foundation for his research contributions and teaching success.

Experience

Dr. Zamani has held various academic positions throughout his career. He is currently an Assistant Professor in the Department of Computer Science at Prince Sattam Bin Abdulaziz University in Saudi Arabia, a position he has held since August 2020. In addition to his teaching role, Dr. Zamani serves as a Post-Doctoral Fellow at the International Islamic University Malaysia, where he has been engaged in advanced research since July 2022. Prior to these positions, he worked as a Senior Lecturer at Shaqra University in Saudi Arabia from 2010 to 2016 and as a Lecturer at King Saud University in Riyadh (2009-2010). His academic career began as a Lecturer at Ibne Seena Pharmacy College in India (2007-2009). Over the years, Dr. Zamani has contributed significantly to both the academic and administrative frameworks of these institutions, including curriculum development and research committees.

Research Interests

Dr. Zamani’s research interests lie primarily in AI, ML, Deep Learning, Data Mining, IoT, and their applications in various domains. His work focuses on leveraging machine learning techniques to develop predictive models for healthcare, cybersecurity, and educational services. He has also researched IoT-based systems, contributing to advancements in real-time data analytics for improved decision-making and optimization of resources. His research has garnered attention in areas like automated disease detection, smart health monitoring, and the design of secure and efficient systems for IoT networks.

Awards

Dr. Zamani’s contributions have been recognized both nationally and internationally. He has been granted three international patents from India and Australia, further solidifying his standing as an innovator in the fields of machine learning and IoT-based systems. His patents cover key areas such as machine learning-based prediction systems for heart disease and systems for improving educational services. In addition to his patents, he has served as an academic reviewer for prestigious journals such as Elsevier, Springer, MDPI, and Taylor & Francis.

Publications

Dr. Zamani has published more than 100 papers in SCI, PubMed, and Scopus-indexed journals, as well as two conference papers. Some of his significant publications include:

Zamani, A. S., et al. “Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics.” Biomedical Signal Processing and Control, 2024, Elsevier, DOI: 10.1016/j.bspc.2024.106247.

Zamani, A. S., et al. “The Prediction of Sleep Quality using Wearable-assisted Smart Health Monitoring System based on Statistical Data.” Journal of King Saud University-Science, 2023, Elsevier, DOI: 10.1016/j.jksus.2023.102927.

Zamani, A. S., et al. “Machine Learning Techniques for Automated and Early Detection of Brain Tumor.” International Journal of Next-Generation Computing, 2022, Perpetual Innovation, DOI: 10.47164/ijngc.v13i3.711.

Zamani, A. S., et al. “Cloud Network Design and Requirements for the Virtualization System for IoT Networks.” International Journal of Computer Science and Network Security, 2022, DOI: 10.22937/IJCSNS.2022.22.11.101.

Zamani, A. S., et al. “Towards Applicability of Information Communication Technologies in Automated Disease Detection.” International Journal of Next-Generation Computing, 2022, Perpetual Innovation, DOI: 10.47164/ijngc.v13i3.705.

Akhtar, M. M., Zamani, A. S., et al. “Stock Market Prediction Based on Statistical Data Using Machine Learning Algorithm.” Journal of King Saud University-Science, 2022, Elsevier, DOI: 10.1016/j.jksus.2022.101940.

Prasad, V. D. P., Zamani, A. S., et al. “Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis.” Security and Communication Networks, 2022, Hindawi, DOI: 10.1155/2022/1918379.

Conclusion

Dr. Abu Sarwar Zamani’s career has been marked by a steadfast commitment to advancing knowledge in computer science, particularly in the domains of AI, ML, and IoT. His extensive experience in both teaching and research has made him a key figure in these fields, with numerous published works and patents to his name. As a dedicated educator and researcher, Dr. Zamani continues to make valuable contributions to the academic community and industry, with a focus on developing innovative solutions for healthcare, cybersecurity, and education. His work exemplifies the intersection of technology and human well-being, ensuring that his research has a lasting impact on society.