Reagan Baluku | Quantitative Hypotheses | Best Researcher Award

Reagan Baluku | Quantitative Hypotheses | Best Researcher Award

Dr Reagan Baluku, Global health Uganda, Uganda

Dr. Reagan Baluku is a dedicated pediatrician and researcher with a Master’s in Pediatrics and Child Health from Makerere University (2019–2023) and an MBChB from Ryazan State I.P. Pavlov Medical University (2008–2014). 🩺✨ He has extensive training in clinical practice, including neonatal care and trauma life support, and holds certifications in human subject protection and Good Clinical Practice. πŸ“œπŸ’‘ Dr. Baluku has contributed to impactful studies on sickle cell anemia, COVID-19, and child health, with publications in reputable journals. πŸ“šπŸŒ As a Research Study Manager and conference presenter, he is committed to advancing pediatric health and education. πŸ‘ΆπŸ”¬

Publication Profile

Orcid

Education

Dr. Reagan Baluku is a dedicated medical professional with a solid academic foundation in medicine and pediatrics. He recently completed a Master’s in Pediatrics and Child Health (2019–2023) at Makerere University College of Health Sciences πŸŽ“πŸ‘Ά. His journey began with a Bachelor of Medicine and Bachelor of Surgery degree (2008–2014) from Ryazan State I. P. Pavlov Medical University 🩺🌍. Prior to this, he achieved his Uganda Advanced Certificate of Education (2006–2007) at Ntare School πŸ“˜, following his Uganda Certificate of Education (2002–2005) at the same institution πŸ“šπŸ«. His educational path reflects a strong commitment to excellence in healthcare. πŸ’‰βœ¨

Additional Training

Dr. Reagan Baluku has an impressive history of certifications in clinical and healthcare practices. He completed CITI Human Subject Protection training in April 2020 and August 2022 🌐, and Good Clinical Practice (GCP) training at Mulago in 2016, 2017, and 2019 πŸ“œ. In March 2022, he earned a GCP certification from the Johns Hopkins Center for Clinical Global Health Education πŸ₯. Additionally, Dr. Baluku attended specialized training in Acute Neonatal Resuscitation and Care in Hoima (July 2016) πŸ‘Ά and Acute Trauma Life Support and Resuscitation in Surgery at Mulago (June 2015) πŸ’‰. These achievements reflect his commitment to advancing patient care.

Professional ExperienceΒ 

Dr. Reagan Baluku is a dedicated researcher and clinician with extensive experience in leading and managing studies. As a Study Manager, Study Coordinator, and Research Assistant, he has demonstrated exemplary leadership in projects like the SuPCHO study, which focuses on learning deficits. πŸ§ πŸ“Š His clinical expertise shines through his mentorship of medical students and his proficiency in neonatal care, reflecting his commitment to advancing healthcare. πŸ‘©β€βš•οΈπŸ‘Ά Combining research and practical skills, Dr. Baluku continues to make significant contributions to medical education and clinical practice, bridging the gap between evidence-based research and quality patient care. πŸŒŸπŸ“šπŸ’‘

Conferences and SymposiumsΒ 

Dr. Reagan Baluku’s presentation at the Global Health Uganda Scientific Symposium underscores his dedication to advancing global health initiatives πŸŒπŸ’‰. By sharing his research findings and engaging with fellow experts, he demonstrates a strong commitment to fostering dialogue and collaboration in tackling pressing health challenges πŸ€πŸ“Š. This platform not only highlights his expertise but also reinforces his role as a key contributor to meaningful scientific discussions 🩺🧬. Dr. Baluku’s active participation reflects his passion for improving health outcomes and driving innovation in the field of global health πŸŒŸπŸ”¬.

Research focus

Dr. Reagan Baluku’s research focuses on sleep disturbances among school-going children, particularly in Uganda. His work examines the prevalence and associated factors such as screen time, environmental conditions, and socio-economic influences. Utilizing cross-sectional methodologies, he identifies how behaviors like prolonged TV or smartphone use impact sleep quality, ranging from poor sleep to severe disturbances. This research is vital for designing targeted interventions to enhance children’s health and well-being. Collaborating with institutions like the National Institute of Neurological Disorders and Stroke, his studies contribute to the global discourse on pediatric sleep health. πŸŒ™πŸ“ŠπŸ“±βœ¨

Publication top Notes

Prevalence of sleep disturbances and factors associated among school going children in Uganda, a cross-sectional study.

Conclusion

Dr. Reagan Baluku’s research focus lies in pediatrics and public health, emphasizing impactful and practical healthcare solutions. His work bridges clinical innovation and community well-being, addressing child health, disease prevention, and healthcare accessibility. Dr. Baluku’s publications reflect a commitment to advancing pediatric medicine and promoting public health strategies that combat inequalities. By integrating evidence-based research with clinical practice, he significantly contributes to improving health outcomes for children and families. His dedication to research and application makes him a vital figure in public health and pediatrics. πŸŒŸπŸ‘ΆπŸŒπŸ“šπŸ©Ί

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Mr Faroque Ahmed, Ural Federal University, Russia, Russia

Faroque Ahmed is a PhD researcher at Ural Federal University, Russia πŸ‡·πŸ‡Ί, specializing in development studies and financial economics πŸ“Š. He holds an M.Sc. and B.Sc. in Statistics from Islamic University, Kushtia-Jhinaidah, where he achieved top positions in his class πŸ₯‡. With research interests in quantile-based methods, VARs, data mining, and machine learning πŸ€–, he has served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM) and as a Research Assistant at the Islamic University, working on credit card fraud detection. Faroque also boasts excellent academic achievements and IELTS proficiency πŸ…πŸ“š.

Publication profile

Scopus

Education

πŸ“š With a strong academic background, I hold a Master’s in Statistics from Islamic University, Kushtia-Jhinaidah, completed in 2015 with an ‘A’ grade and a CGPA of 3.91, securing first-class first position πŸ₯‡. My Bachelor’s in Statistics from the same university, completed in 2014, earned me an ‘A’ grade and a CGPA of 3.84, ranking second in first class πŸ₯ˆ. Prior to this, I excelled in Science, achieving a perfect GPA of 5.00 in both my Higher Secondary (2009) and Secondary (2006) School Certificates at New Govt. Degree College and Masjid Mission Academy, respectively 🌟.

Experience

Since 2022, the user has been a PhD Researcher at the Laboratory of International & Regional Economics (LIRE) at the Graduate School of Economics and Management (GSEM), Ural Federal University, Yekaterinburg, Russia πŸ“šπŸŒ. Concurrently, they have served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM), affiliated with the University of Dhaka, since 2019 πŸ’πŸ‡§πŸ‡©. Previously, from 2016 to 2019, they worked as a Research Assistant at the Quantitative Financial Economic Development (QFED) Lab in the Dept. of Statistics at Islamic University, Kushtia, Bangladesh, focusing on credit card fraud detection using machine-learning algorithms under the supervision of Md. Altaf Hossain πŸ’³πŸ€–.

Research Interest

I am passionate about the fields of development studies and financial economics, focusing on advanced methodologies and data analysis. My expertise includes quantile-based methods, various types of VARs, and data mining techniques. I am proficient in leveraging machine learning and big data analysis for robust econometric modeling. Through these skills, I aim to contribute to the understanding and development of economic policies and practices. πŸ“ŠπŸ’‘πŸ”πŸ“‰πŸ’»πŸ”Ž

Awards

In 2017-18, I was awarded the UGC research grant for my master’s project on the socio-economic effects of remittance on Bangladeshi migrant households. Under the supervision of Md. Altaf Hossain, an Associate Professor at Islamic University, Kushtia, Bangladesh, I conducted extensive research in this area. Additionally, in 2017, I completed Big Data Analytics Training through the LICT project of the ICT Ministry, People’s Republic of Bangladesh. πŸ“šπŸ”πŸ’Ό The grant and training significantly enhanced my research capabilities and data analysis skills, contributing to my academic and professional growth. πŸ“ˆπŸŒ

Research focus

Faheem Ahmed’s research primarily focuses on the intersection of economics, environmental studies, and technological applications. His work includes examining the impact of geopolitical risks on global finance, analyzing the economic growth-environment nexus, and exploring the implications of AI technology on industrial outputs and energy consumption. Additionally, Ahmed delves into health outcomes influenced by governance and education, social distancing behaviors during Covid-19, and predictive modeling for air quality and credit card fraud detection. His interdisciplinary approach combines machine learning with economic and environmental analysis, reflecting a broad interest in sustainable development and risk management. πŸŒπŸ“ŠπŸ’‘πŸŒ±πŸ“‰πŸ”.

Publication top notes

Robot race in geopolitically risky environment: Exploring the Nexus between AI-powered tech industrial outputs and energy consumption in Singapore

Semi-Supervised Machine Learning Method for Predicting Observed Individual Risk Preference Using Gallup Data

Assessing the impact of Russian–Ukrainian geopolitical risks on global green finance: a quantile dependency analysis

An inquiry into the achievements in health outcomes of Bangladesh: role of health expenditure, income, governance and female education

Integration of theory of planned behavior into actual social distancing behavior amid Covid-19

Economic growth and environmental pollution nexus in Ba

An analysis of energy, environment and economic growth (EEE) nexus: a 2SLS approach

Creative social media use for Covid-19 prevention in Bangladesh: a structural equation modeling approach

A comparative study of credit card fraud detection using the combinati

Predicting air quality of Dhaka and Sylhet divisions in Bangladesh: a time series modeling approach