Anthonia's research interests is the intersection of Earth Observation and GIS methodological applications in human and physical Geography. Expertise are in web based geospatial applications, geospatial data analytics and location intelligence problem solving; development of geospatial data portals and aerial flight planning. Recent research includes quantitative modelling of the impacts globalisation on health, migration, mobility and environment in rural spaces.
Marco's has research interests on human and animal health and performance, including Sport and Exercise Science. Recent research activities focus on the multi-disciplinary approach to the various aspects of frailty, including a biomechanical analysis of physical functioning such as gait and postural control, quantifying physical activity and behaviour attitudes, and diet.
OJ is an evolutionary-minded, clinically-trained researcher who is profoundly involved in examining the kinds of (and potential solutions for some of the) modern-day health and wellbeing risks deriving from the interactions between humans and their physical and social environment from a multifaceted evolutionary perspective.
Patricia's research interests include various aspects of Artificial Intelligence for autonomous systems and robotics: - biologically inspired developmental robotics; autonomous agent goal based reasoning; machine learning. Recent research aims to understand how humans learn starting from birth, and apply it to a robotic platform.
Gilda's research interests is in drug discovery, specifically applying bioinformatics to the validation study of the schistosome parasite gene and molecules that may have a role in invasion, migration, intravascular survival and egg transmission of the parasite. Gilda has interests in the medical aspects, vaccines and drug development of the covid 19 pandemic.
Daniel expertise is in artificial intelligence (AI), Machine and Deep Learning, and primarily focuses on the sourcing, processing of modelling of large global datasets using advanced computer programming language and machine learning algorithms. Daniel is currently during a PhD in Computer Science Department.
Byron has a Bsc in Geography and is currently running an Msc in Geographical Information Systems (GIS) and Remote Sensing. Byron brings skills from Geographical and Spatial data Analysis to interrogate spatial patterns and impacts of pandemics on global aspects of health, economy and technology.
Tayo has a background in Mathematical Sciences. His research interests lie at the intersection of Statistical Data Science, Applied Data Mining, Machine Learning, and Deep Learning and brings in these skills into probing large interdisciplinary datasets to examine the current and future global impacts of epidemics and pandemics. Tayo is currently pursuing a master's degree in Data Science.