Amos Kipkorir Langat | Infectious Disease | Best Researcher Award

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Assist. Prof. Dr. Amos Kipkorir Langat | Infectious Disease | Best Researcher Award 

Senior Research Fellow | Jomo Kenyatta University of Agriculture and Techno | Kenya

Dr. Amos Kipkorir Langat, Ph.D., is a highly accomplished statistician, academic, and economist with expertise in Bayesian analysis, machine learning, spatial statistics, and public health modeling. He earned his Ph.D. in Mathematics (Statistics) from the Pan African University Institute for Basic Sciences, Technology and Innovation, his MSc. in Applied Statistics from Jomo Kenyatta University of Agriculture and Technology (JKUAT), and his BSc. in Economics and Mathematics from Kabarak University. Currently, he serves as a Lecturer at JKUAT and Senior Economist at the County Government of Bomet, with previous teaching roles at Maasai Mara and Kabarak Universities. His research spans statistical modeling of infectious diseases, HIV risk factors, maternal health, survival and time series analysis, and measurement error models. He has supervised MSc. and Ph.D. students across Africa, authored over 30 peer-reviewed publications, and contributed to journals such as Scientific African, Asian Journal of Probability and Statistics, and Annals of Medicine & Surgery. Dr. Langat has secured prestigious awards including the AU Ph.D. Scholarship and SICSS research funding, and he actively contributes as a reviewer and conference organizer. His technical expertise includes proficiency in R, Python, STATA, SAS, SPSS, WinBUGS/OpenBUGS, and advanced econometric tools. A member of the Royal Statistical Society, ISCB, IBS, and the Kenya National Statistical Society, he also demonstrates a strong commitment to community service through educational leadership roles. Dr. Langat exemplifies a dedicated scholar, mentor, and researcher advancing applied statistics in public health and beyond

Profile: Google Scholar | Scopus | Orcid

Featured Publications

1. Langat, A., Orwa, G., & Koima, J. (2017). Cancer cases in Kenya; forecasting incidents using Box & Jenkins ARIMA model. Biomedical Statistics and Informatics, 2(2), 37–48. Cited by: 21

2. Benki-Nugent, S. F., Martopullo, I., Laboso, T., Tamasha, N., Wamalwa, D. C., … [and others]. (2019). High plasma soluble CD163 during infancy is a marker for neurocognitive outcomes in early-treated HIV-infected children. JAIDS Journal of Acquired Immune Deficiency Syndromes, 81(1), 102–109. Cited by: 14

3. Mutinda, J. K., & Langat, A. K. (2024). Stock price prediction using combined GARCH-AI models. Scientific African, 26, e02374. Cited by: 10

4. Mutinda, J. K., & Langat, A. K. (2024). Modeling the impact of air pollution and meteorological variables on COVID-19 transmission in Western Cape, South Africa. International Journal of Mathematics and Mathematical Sciences, 2024(1), 1591016. Cited by: 5

5. Mutinda, J. K., & Langat, A. K. (2024). Capital asset pricing model: A renewed application on S&P 500 index. Asian Journal of Economics, Business and Accounting, 24(6), 226–239. Cited by: 4

Sharmin Musa | Foodborne Diseases | Best Researcher Award

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Prof. Dr. Sharmin Musa | Foodborne Diseases | Best Researcher Award

Professor | University of Dhaka | Bangladesh

Dr. Sharmin Musa, Professor in the Department of Zoology at the University of Dhaka, is an accomplished academic and researcher specializing in parasitology, zoonotic diseases, and vector-borne infections. She earned her Ph.D. in Animal Biology from the University of Manchester, UK, where her doctoral work focused on parental care in burying beetles, complementing earlier research on post kala-azar dermal leishmaniasis (PKDL) during her MSc at the University of Dhaka. Over the course of her career, she has led and collaborated on numerous research projects addressing pressing public health concerns in Bangladesh, including malaria among Rohingya refugees, intestinal parasitic infections in slum populations, soil-transmitted helminths, and foodborne parasitic risks linked to street vendors and vegetables. Her prolific publication record spans more than 40 peer-reviewed articles in national and international journals, covering both human and animal parasites. She has supervised multiple Ph.D. and MSc theses, contributing significantly to the development of young scientists in Bangladesh. In addition to research, Dr. Musa has delivered invited talks at international conferences, reflecting her recognition as an authority in parasitology and epidemiology. She is an active member of professional bodies such as the Zoological Society of Bangladesh and the Bangladesh Society for Parasitologists, where she has held executive roles. Her academic excellence has been acknowledged with awards, including the Dean’s Award and prestigious fellowships for higher study abroad. Alongside her teaching and research, she has also served in administrative roles, including warden and senate member, demonstrating her leadership within the university community and her enduring commitment to advancing science and public health

Profile: Scopus

Featured Publications

  1. Barua, P., Banik, K.S., Saha, S., & Musa, S. (2024). Risk factors associated with street food consumption in Dhaka city due to faeco-oral parasitic infection in food vendors. Food and Humanity

Denesh Sooriamoorthy | Cardiovascular Engineering | Best Researcher Award

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Dr. Denesh Sooriamoorthy | Cardiovascular Engineering | Best Researcher Award 

Senior Lecturer at Asia Pacific University of Technology & Innovation (APU), Malaysia

Dr Denesh A/L Sooriamoorthy is a distinguished academic and researcher specializing in mechatronic engineering, robotics, and biomedical systems. Currently serving as a Senior Lecturer at Asia Pacific University of Technology & Innovation, he has made impactful contributions to both education and research. His career has been defined by innovative curriculum development, particularly in robotics and mechatronics, alongside leadership in collaborative projects with academia and industry. His doctoral research pioneered early risk prediction methods for cardiovascular diseases, integrating numerical modeling and wearable technologies. He has consistently demonstrated the ability to merge advanced technical knowledge with practical applications, producing outcomes that bridge healthcare, robotics, and intelligent systems. Beyond his technical expertise, he has held leadership roles as programme coordinator, advisor to student clubs, and conference organizer, reflecting his versatility as an academic leader. His professional recognition as a certified engineer and technologist underscores his standing in the engineering community.

Professional Profile

Scopus | Orcid

Education

Dr Denesh A/L Sooriamoorthy has pursued a distinguished educational journey that integrates engineering, research, and teaching excellence. He began with a strong foundation in mechatronic engineering, completing his undergraduate studies with high honors at the University of Nottingham. His academic trajectory advanced through a master’s degree in mechatronic engineering, where he gained extensive technical knowledge in robotics, systems modeling, and intelligent control applications. Building on this foundation, he undertook doctoral research at the University of Nottingham, focusing on innovative cardiovascular disease risk prediction methods. This doctoral work not only strengthened his expertise in biomedical engineering and signal processing but also aligned with his passion for advancing healthcare technologies. To complement his research and academic career, he further specialized in pedagogy by obtaining a postgraduate qualification in teaching and learning. His educational path reflects a seamless integration of engineering, healthcare technology, and academic leadership, preparing him for impactful contributions in academia and industry.

Experience

Dr Denesh A/L Sooriamoorthy has amassed extensive academic and research experience across leading institutions. At Taylor’s University Malaysia, he was instrumental in developing the Mechatronics Engineering programme and played a vital role in robotics curriculum design. He also served as the Work-Based Learning Coordinator for the Robotic Design and Development programme, signing industry collaborations and facilitating practical training opportunities. As an advisor to the Taylor’s Robotics Club, he nurtured student innovation through projects and competitions. His earlier professional experience as a research engineer at Chulia Facilities Management allowed him to bridge industry with research, particularly in cardiovascular modeling and wearable health monitoring. Currently, as a Senior Lecturer at Asia Pacific University, he teaches diverse modules in electronics, robotics, and intelligent systems while leading programme development and accreditation processes. His expertise spans teaching, research, industry collaboration, student mentorship, and professional training, showcasing his commitment to holistic academic and professional excellence.

Awards and Honors

Dr Denesh A/L Sooriamoorthy has been recognized with multiple prestigious awards that highlight his academic excellence, research impact, and teaching innovation. His research on cardiovascular disease risk prediction and robotics applications has received accolades at international conferences and innovation exhibitions, including gold and silver awards at technology expos. He has been honored with best paper awards and has received recognition for his inventive contributions to healthcare and intelligent systems. His outstanding teaching abilities have earned him university-level awards, including recognition for his mentorship and dedication to students. He has also been celebrated for his communication and presentation skills, achieving notable positions in competitions such as the Three Minute Thesis. Beyond academic recognition, he has been commended for his leadership roles, including conference chairing and programme coordination. These honors collectively underscore his ability to excel across research, teaching, innovation, and professional service, strengthening his reputation as an accomplished engineer and educator.

Research Focus

Dr Denesh A/L Sooriamoorthy’s research spans mechatronics, robotics, biomedical engineering, and intelligent systems. His work uniquely bridges healthcare and engineering, particularly through pioneering methods for early prediction of cardiovascular diseases. Using numerical modeling of circulatory systems, coupled with wearable monitoring devices and predictive algorithms, his studies aim to advance preventive healthcare solutions. Beyond biomedical applications, he has contributed significantly to robotics, focusing on sensors, actuators, machine vision, swarm intelligence, and embedded systems. His expertise extends into renewable energy management and electric vehicle battery optimization, integrating artificial intelligence with engineering systems to enhance sustainability. He has led and collaborated on multiple funded projects, ranging from industrial robotics to intelligent autonomous navigation. His interdisciplinary approach combines theory, experimentation, and practical deployment, ensuring his research addresses real-world challenges. By aligning healthcare innovation with robotics and energy technologies, his work continues to influence both academic research and industrial applications globally.

Publication Top Notes

Title: An integrated convolutional neural network with zero-dimensional cardiovascular hemodynamics parameters for early cardiovascular disease detection

Journal: Biomedical Signal Processing and Control 
Summary: This paper introduces a hybrid diagnostic model that integrates convolutional neural networks (CNNs) with zero-dimensional cardiovascular hemodynamics parameters for early cardiovascular disease detection. The combination of deep learning and physiological modeling improves accuracy, interpretability, and clinical relevance, offering a reliable tool for risk assessment and decision support in healthcare.

Title: Optimizing solar maximum power point tracking with adaptive PSO: A comparative analysis of inertia weight and acceleration coefficient strategies

Journal: Results in Engineering 
Summary: This study investigates maximum power point tracking (MPPT) in photovoltaic systems using adaptive particle swarm optimization (PSO). By analyzing different inertia weight and acceleration coefficient strategies, the research demonstrates improved convergence speed, tracking stability, and energy harvesting efficiency. The adaptive PSO approach outperforms traditional methods, making it well-suited for practical solar energy applications.

Conclusion

Ir Ts Dr Denesh A/L Sooriamoorthy exemplifies the integration of engineering expertise, research innovation, and academic leadership. His contributions span mechatronics, robotics, healthcare technologies, and sustainable energy systems, reflecting his commitment to interdisciplinary solutions for global challenges. As an academic, he has nurtured future engineers through curriculum development, teaching, and mentorship, while also building bridges between academia and industry through impactful collaborations. His recognition as a professional engineer and technologist highlights his credibility and standing in the engineering profession. With a proven record of securing research grants, publishing in high-impact journals, and leading innovative projects, he continues to advance knowledge and practical applications in engineering. His long-term vision is to remain at the forefront of research, education, and innovation, contributing to the development of intelligent systems that benefit society. Through his dedication, versatility, and leadership, he stands as a valuable asset to any institution or research initiative he engages with.

Daouda SAMA | Public Health | Best Researcher Award

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Dr. Daouda SAMA | Public Health | Best Researcher Award

Adjunct Professor at University of Lomé ,Togo

Dr. Daouda Sama is an Adjunct Professor at the Department of Earth Sciences, University of Lomé, Togo. Specializing in environmental geochemistry, his work focuses on pollutant dispersion, health risk assessments, and sustainable coastal management. He has significantly contributed to West African environmental science by modeling industrial emissions and their ecological and human health impacts. His research incorporates advanced tools like AERMOD and Delft3D, bridging scientific understanding and practical application. Dr. Sama has led or contributed to over 40 consultancy projects, guiding environmental impact assessments for major industrial and government clients across West Africa. His academic contributions include 8 peer-reviewed articles in international journals, and he serves as a certified peer reviewer. Actively collaborating with local and international partners, he plays a pivotal role in projects addressing marine pollution, groundwater quality, and regulatory compliance. His work is shaping environmental policy and enhancing ecosystem resilience in developing regions.

Professional Profiles

Scopus | Orcid

Education 

Dr. Daouda Sama has pursued an academically rich path rooted in earth and environmental sciences. He earned his Bachelor’s degree in Geology, followed by a Master’s degree in Hydrology and Hydrogeology from the University of Lomé. He later completed his Ph.D. in Systemic Geochemistry and Multimodal Modeling from the same institution. His doctoral research focused on integrating pollutant dispersion modeling with geochemical assessments to evaluate the health risks of industrial emissions and water contamination. Throughout his studies, he demonstrated a strong interdisciplinary approach, merging geological sciences with public health and environmental policy. His academic journey has been guided by prominent mentors, particularly Prof. Kissao Gnandi, under whose leadership he developed innovative frameworks for environmental monitoring and adaptive quality standards. His educational background has provided a solid foundation for his dual roles in academia and consultancy, allowing him to contribute to both research and applied environmental management.

Experience 

Dr. Daouda Sama brings extensive professional experience from academia, consultancy, and field-based research. As an Adjunct Professor at the University of Lomé, he has taught both undergraduate and graduate courses in earth sciences and has led significant research on geochemistry and pollution assessment. Beyond academia, he has participated in numerous consultancy projects addressing environmental impact assessment, pollution monitoring, geospatial mapping, and water resource management. His clients span national and international institutions, including GIZ, the World Bank, and industrial entities like Dangote and Contour Global. He has worked on projects involving mining waste, coastal pollution, and aquifer contamination across Togo, Benin, Niger, and Congo. His technical roles have included lead analyst, hydrogeologist, and geospatial expert. He is skilled in AAS, spectrophotometry, and modeling software such as Delft3D and AERMOD. His work has directly contributed to policy frameworks, regulatory compliance, and sustainable environmental management in West Africa.

Research Focus 

Dr. Sama’s research centers on environmental geochemistry and its implications for public health and ecosystem resilience. He specializes in modeling the dispersion of pollutants from industrial sources using advanced tools such as AERMOD and Delft3D, enabling receptor-specific risk evaluations near vulnerable sites like schools and clinics. His studies assess the geochemical behavior of mining waste and the bioavailability of contaminants in aquatic systems, particularly along the Gulf of Guinea. He is currently advancing adaptive frameworks for air and water quality that are contextually suited for West African environments. His projects range from modeling the hydrodynamic effects of phosphate discharge to tracking metal pollution in fish and agricultural products. Dr. Sama’s interdisciplinary work integrates geochemistry, public health, and environmental policy, offering practical solutions for pollution mitigation and sustainable development. His research directly supports national and regional efforts to monitor environmental risks, promote regulatory compliance, and protect both ecosystems and communities.

Publication Top Notes

Title: Toxic Trajectories: Modeling Heavy Metal-Laden Phosphate Dust Dispersion and Multi-Receptor Health Risks Near Kpémé’s Industrial Zone

Journal: Results in Engineering

Summary:
This study presents an environmental modeling approach to trace the dispersion of phosphate dust contaminated with heavy metals from industrial activities in Kpémé, Togo. Using advanced atmospheric and geographic modeling tools, the research evaluates how toxic particles travel and affect various environmental and human receptors. The findings reveal elevated risk zones, highlighting vulnerable populations and ecosystems exposed to chronic contamination. The work contributes to industrial pollution management and public health risk assessment by offering a spatially explicit framework for multi-receptor analysis.

Conclusion 

Dr. Daouda Sama exemplifies the synergy of research, teaching, and field-based environmental consultancy. Through a decade of academic and professional contributions, he has established himself as a leader in environmental geochemistry in West Africa. His innovative methods for pollutant dispersion and health risk modeling have shaped environmental policies and regulatory practices in Togo and beyond. As an educator, he fosters critical scientific thinking and environmental responsibility among students. As a consultant, he has provided actionable insights to major stakeholders in industry, government, and international organizations. His scholarly publications and peer review activities reflect his commitment to scientific excellence. Looking ahead, Dr. Sama aims to deepen regional collaborations, expand his geochemical modeling research, and advocate for sustainable industrial practices grounded in data-driven environmental science. His work continues to bridge scientific knowledge and public policy, contributing to a healthier, more resilient future for West African communities and ecosystems.