Agerie Mengistie | Intrusion Detection | Best Researcher Award

Ms. Agerie Mengistie | Intrusion Detection | Best Researcher Award

Intrusion Detection at College of Medicine and Health Sciences, University of Gondar, Ethiopia

Agerie Mengistie is a dedicated professional in the field of midwifery and maternal health, based in Gondar, Ethiopia. With a Bachelor of Science in Midwifery from the University of Gondar and a Master’s degree in Clinical Midwifery from Bahir Dar University, she has honed her expertise in providing comprehensive maternity healthcare services. Currently serving as a Lecturer and Researcher at the University College of Tedda Health Sciences, she plays a pivotal role in monitoring and enhancing the quality of public health research activities. Agerie has a passion for research and has successfully conducted thesis work at both undergraduate and postgraduate levels, demonstrating her commitment to advancing knowledge in her field. With a strong foundation in research methodology and proficiency in statistical software, she is well-equipped to contribute to evidence-based practices and improve maternal health outcomes in Ethiopia.



Ms. Agerie Mengistie holds a Master’s degree in Clinical Midwifery (MSc) from Bahir Dar University, Ethiopia, which she completed between February 2014 and June 2016. Prior to her Master’s degree, she obtained a Bachelor of Science in Midwifery (BSc) from the University of Gondar, Ethiopia, from May 2009 to March 2012. These academic qualifications have equipped her with a solid foundation in midwifery and clinical practices, enabling her to pursue a career focused on maternal and reproductive health.

Professional Experience

Ms. Agerie Mengistie has accumulated valuable professional experience in the field of midwifery and healthcare. Since May 2016, she has served as a Lecturer and Researcher in Clinical Midwifery at the University College of Tedda Health Sciences in Gondar, Ethiopia. In this role, she has undertaken various responsibilities, including monitoring and coordinating quality public health research activities, conducting and supervising thesis work for both undergraduate and postgraduate students, assisting senior professors in teaching and research, and contributing to manuscript preparation for peer-reviewed journals. Additionally, Ms. Mengistie has been actively involved in community diagnosis research as part of a team training program, providing research methodology training, and monitoring and evaluating public health services. Her commitment to education and research has significantly contributed to the advancement of midwifery education and healthcare services in her community.

Research Interest

Ms. Agerie Mengistie’s research interests lie in the intersection of midwifery, maternal healthcare, and public health. Specifically, she is passionate about exploring topics related to improving maternal and neonatal health outcomes, enhancing the quality of midwifery care, and advancing evidence-based practices in midwifery education and clinical practice. She is keen on conducting research that addresses key challenges in maternal healthcare delivery, such as reducing maternal mortality and morbidity rates, promoting safe childbirth practices, and ensuring access to comprehensive reproductive health services. Additionally, Ms. Mengistie is interested in investigating innovative approaches to midwifery education and training, as well as exploring the impact of cultural, social, and economic factors on maternal and child health outcomes. Through her research endeavors, she aims to contribute to the development of effective strategies and policies aimed at improving maternal and neonatal health outcomes in Ethiopia and beyond.

Award and Honors

Ms. Agerie Mengistie has been recognized for her dedication and contributions in the field of midwifery and maternal healthcare. She was granted the Induced Abortion Service award by the Ethiopian Midwifery Association in 2018 for her outstanding service in this area. This recognition highlights her commitment to providing quality healthcare services to women in need and acknowledges her significant contributions to the field of midwifery.

Research Skills

Ms. Agerie Mengistie possesses a diverse set of research skills, enabling her to contribute effectively to the advancement of knowledge in the field of midwifery and maternal health. She is proficient in various statistical software including Stata, SPSS, Epi Info, and Epi data software, which enables her to analyze data with precision and accuracy. Additionally, she is skilled in conducting systematic reviews and meta-analyses, demonstrating her ability to synthesize and evaluate existing research literature comprehensively. Moreover, Ms. Mengistie has received training in research methodology, enhancing her capacity to design and execute high-quality research studies. Her proficiency in these research skills equips her to address complex research questions and contribute meaningfully to the evidence-based practice of midwifery.


Oluwafemi Oke | Intrusion Detection | Best Researcher Award

Mr. Oluwafemi Oke | Intrusion Detection | Best Researcher Award

PhD, Near East University, Cyprus

🏆 Mr. Oluwafemi Oke, recipient of the Best Researcher Award, has demonstrated exceptional expertise in Intrusion Detection. Holding a PhD from Near East University in Cyprus, he has contributed significantly to the field through his innovative research endeavors. Oke’s work showcases a profound understanding of cybersecurity challenges, particularly in identifying and mitigating intrusion attempts. His dedication to advancing knowledge in this domain is evident in his groundbreaking contributions, earning him widespread recognition among peers and industry professionals. Oke’s accomplishments serve as a testament to his unwavering commitment to excellence and his invaluable contributions to the field of cybersecurity. 🌟



Research Experience

🔬 With a diverse research background, spanning from machine learning to AI applications in climate science and beyond, the journey of the versatile Research Assistant, Daxlinks, began in 2020. Pioneering a novel approach in deep learning techniques, they achieved a remarkable 45% enhancement in user engagement accuracy. Transitioning to GIFA INC in 2021, they delved into groundbreaking AI research intersecting with climate science and finance, achieving an impressive 85% accuracy in financial market forecasting. Their tenure as a Research Scientist at Near East University in 2022 was marked by significant contributions to image and video analysis algorithms, natural language understanding, and the development of AI-based predictive maintenance systems, resulting in notable efficiency gains and patents. 🚀

Professtional Experience

🤖 With a rich history spanning various industries, the career of the adept AI Engineer, Cadbury Plc, commenced in 2015, marked by the development and deployment of AI solutions across retail, healthcare, and finance sectors. Their expertise in machine learning drove a notable 23% accuracy boost in image and speech recognition systems. Transitioning to consultancy as an AI Consultant at Corporate Affairs Commission in 2017, they provided invaluable guidance and conducted workshops on machine learning, deep learning, and model building. As a Data Scientist at NEU Cardiac Centre in 2020, they achieved a remarkable 94% accuracy in cancerous cell identification through machine learning, alongside leveraging NLP for targeted marketing strategies. Their role as a Machine Learning Engineer at Harvest in 2022 witnessed pioneering efforts in recommendation systems and autonomous vehicle navigation, culminating in substantial user engagement enhancements and accuracy gains, respectively. 🚀


🎓 With an impressive academic journey, the individual commenced their educational pursuit at Babcock University in July 2016, earning a Bachelor of Science in Computer Engineering. Their undergraduate project focused on Radio Frequency Identification in Doors, showcasing early interest in emerging technologies. Advancing their expertise, they pursued a Master of Science in Computer Science (Software Engineering) at Babcock University, completing in August 2020, with a project titled Hybrid Intelligent Internet of Things (IoT) Systems for Automated Homes, highlighting a fusion of IoT and intelligent systems. Currently, they are pursuing a Doctor of Philosophy in Computer Information Systems (Artificial Intelligence) at Near East University, marking a dedication to advancing knowledge in AI. 📚


Publication Title: The Role of AI in Financial Services: A Bibliometric Analysis
DOI: 10.1080/08874417.2024.2304545
Year: 2024
Journal: Journal of Computer Information Systems

DOI: 10.33407/itlt.v95i3.5233
Year: 2023
Journal: Information Technologies and Learning Tools