Prof. Alun LloydNorth Carolina State University,USA
Prof. Alun Lloyd is a mathematical biologist and a Professor of Mathematics at the Department of Mathematics at the North Carolina State University. He is also the Director of Centre for Quantitative Sciences in Biomedicine, the Biomathematics Gradate Program and the Research Training Group in Mathematical Biology at North Carolina State University.
Prof. Lloyd’s main research work concerns mathematical biology with a particular interest in mosquito-borne infections. He obtained his B.Sc. degree in Mathematics from Trinity College, Cambridge and Ph.D. from Oxford University, UK in 1996. He also had his postdoctoral training at Oxford University before moving to North Carolina State University as Faculty in 2003.
Prof. Maithree WickramasingheUniversity of Kelaniya,
Prof. Maithree Wickramasinghe is a Professor in English and the founding Director of the Center for Gender Studies at the University of Kelaniya, Sri Lanka.She is also a visiting Professor at the Center for Higher Education and Equity Research (CHEER), School of Education and Social Work, University of Sussex, United Kingdom.
Prof. Wickramasinghe’s main research interests includes gender studies such as gender equality, a scan of gender sensitive laws, feminist-research methodology, etc. She is an Associate Director for the forthcoming Wiley Blackwell Encyclopedia on Gender and Sexuality Studies.
She obtained her B.A. degree in English from King’s College, University of London, UK, M.A. degree in women’s studies from University of Colombo, Sri Lanka and Ph.D. in Women’s Studies/Education from University of London, UK.
Dr. Herath ManthrithilakeInternational Water Management Institute, Sri Lanka
Dr. Herath Manthrithilake is a Senior Researcher and the Head of Sri Lanka Development Initiative of International Water Management Institute (IWMI) of Sri Lanka.
His main research concerns stochastic hydrology and focuses on river flow regimes as Markov Chains, modeling and simulation for the management of river cascades – regulation, and use for agricultural and hydro power production.He obtained his M.Sc. in Water Resource Engineering from International Friendship University in Moscow USSR and Ph.D. in Hydrology and Water Resource Management from the Moscow Civil Engineering Institute, Moscow, USSR.
Dr. Manthrithilake has over 35 years of experience in dealing with water-related issues and irrigation management. He has experience in leading multidisciplinary and multicultural research teams in many countries and has extensive experience in serving in many National Science committees. He served as the Director of Planning and Monitoring Unit of Mahaweli Authority, Sri Lanka before joining IWMI as a Senior Researcher in 2002
Dr. Rajib RanaUniversity of Southern Queensland,
Dr. Rajib Rana is an experimental computer scientist, Advance Queensland Research Fellow and a Senior Lecturer in the University of Southern Queensland. He is also the Director of IoT Health at the University of Southern Queensland. He is the recipient of the prestigious Young Tall Poppy QLD Award 2018 as one of Queensland’s most outstanding scientists for achievements in the area of scientific research and communication.
Dr. Rana’s research work aims to capitalize on advancements in technology along with sophisticated information and data processing to better understand disease progression in chronic health conditions and develop predictive algorithms for chronic diseases, such as mental illness and cancer. His current research focus is on Unsupervised Representation Learning.
He received his B.Sc. degree in Computer Science and Engineering from Khulna University, Bangladesh with Prime Minister and President’s Gold medal for outstanding achievements and Ph.D. in Computer Science and Engineering from the University of New South Wales, Australia in 2011. He received his postdoctoral training at Autonomous Systems Laboratory, CSIRO before joining the University of Southern Queensland as Faculty in 2015.
Dr. Adam ScottBayer Crop Sciences,
Dr. Adam Scott is a data scientist at Bayer U.S. – Crop Sciences of Monsanto Company, USA.
His main research work includes providing prediction and prescriptive models used throughout the global breeding pipelines, developing computational evolution models, developing analytical software to identify 3D mutational & PTM protein regions affecting cancers, and to characterize germline mutations found in genetic diseases.
Dr. Scott received two B.Sc. degrees in mathematics and physics from Drury University, and M.Sc. (2009) and Ph.D. in Physics (2014) from University of Missouri at St. Louis, USA. He had his postdoctoral training at the Washington University in St. Louis before joining Bayer U.S. – Crop Sciences as a data scientist in 2018.