Dr. Peng is a Professor of Data Science at the University of Sunderland. He is a Principal Investigator in Bioinformatics and Systems Biology and Medicine, and Principal Data Scientist working on Big Data Integration, Data Mining and Computational Intelligence. Dr. Peng's Data Science and BioMedical informatics (DS & BMI) research group focuses on development of innovative data analytics approaches to enable systematical analysis of biological data, medical images, and healthcare data and to gain new knowledge and insights from the integrative analytics of diverse data sources.
Dr. Napoleón Pérez-Farinós MD PhD, is a Professor at the Universidad de Málaga.
He is also Specialist In Preventive Medicine and Public Health and Master in Public Health.
Dr. Pérez-Farinós has worked as an Epidemiologist with communicable and non-communicable diseases, and recently as an expert in cardiovascular diseases prevention and childhood obesity prevention.
I am a behavior change professional on the cross-section between behavior change science (psychology), methodology and statistics and technology (ICT).
Main interests include: behavior change, statistics, methodology, online research methodology and intervention development.
Research Physiologist, US Army Research Institute of Environmental Medicine (USARIEM).
Part-time faculty, School of Science, Technology, Engineering, & Math (STEM), American Public University System (APUS).
Research portfolio spans across the applied sciences, from thermal manikin testing, to the cutting-edge of product development (computer-based decision aids, wireless communications, and wearable sensors). Current scientific work areas include: 1) individualized mathematical modeling of thermoregulatory responses to clothing, environment, activities, with the inclusion of components for rest and recovery, 2) studies of metabolic costs over complex terrain, 3) real-time assessments of ground reaction forces and energy demands during locomotion and load carriage, and 4) innovative approaches to data management and the application of mathematics in integrative physiology.
Prof. Filipe Prazeres is an integrated doctoral researcher in the Health for All research group, in the Research Line (LT1) - Preventive Medicine & Societal Challenges - Center for Health Technology and Services Research (CINTESIS). He has a PhD in Medicine from the Faculty of Health Sciences of the University of Beira Interior with the thesis “MM-PT study: multimorbidity in primary care” (2018). Prof. Prazeres research interest is focused on patients who present multiple chronic medical conditions (multimorbidity) in primary care settings. His work addresses the epidemiological description of multimorbidity and its consequences, as well as relations between multimorbidity and psychosocial and sociodemographic characteristics, health and disease determinants, chronic illness management, patient-centered care, using quantitative and qualitative methodologies.
The Rommel Ramos Professor of Bioinformatics of Federal University of Para (Brazil) affiliated member of Brazilian Science Academy and CNPq Researcher (level 1-D). Since 2008 works with genome assembly and RNA-Seq analysis, he is the leader of the bioinformatic development group of the Biologic Engineering Laboratory in Park of Science and Technology (Pará/Brazil).
Dr Nicola Reavley is a Principal Research Fellow in the Melbourne School of Population and Global Health at the University of Melbourne. Her research focuses on improving public knowledge and beliefs about mental health problems, reducing stigma and discrimination and improving support for those with mental disorders.
A/Prof Reavley is a Chief Investigator on five NHMRC-funded projects, three of which aim to improve mental health literacy in members of the public. She also led a number of projects that aim to assist organisations to better manage mental health issues, including the development of guidelines for implementation of a strategy for the prevention of mental health problems and for supporting employees returning to work after an episode of anxiety or depression, which can be found at http://workplace-mentalhealth.net.au/ . She also led the conduct of the 2011 National Survey of Mental Health Literacy and Stigma and the 2014 National Survey of Discrimination and Positive Treatment in People with Mental Health Problems.
Dr Saikarthik has an undergraduate degree in Radiology and Imaging Sciences Technology from Sri Ramachandra Medical College and Research Institute, India. He obtained his MSc in Medicine and Anatomy, followed by a PhD in the same specialty from the prestigious Saveetha University, India.
Dr Saikarthik's research interests include, Gross and Radiological Anatomy, Neurogenesis and Neurohistology, Psychiatric Epidemiology, Medical Education and Qualitative Research Methods. He has authored many scientific articles which have been published in ranked journals. Recently he has also published a book chapter on the association of COVID-19 with neurogenesis.
Dr Saikarthik is a fellow from the Institute of Biomedical Sciences, UK; Member of the British Association of Clinical Anatomy; Member of the Saudi Society of Medical Education and Member of the Royal Society of Biology UK. He is also a member and certificate holder of Essential Skills in Medical Education from Association of Medical Education from Europe.
Some of his awards include: Best oral presentation award from Association of Anatomist of Tamilnadu, Young researcher in Anatomy and Mental health (2021) and Global Faculty Award (2020). He is also currently an Associate Editor at Majmaah Journal of Health Sciences.
Dr. Fatima Saqib, has a PhD in Pharmacology from Bahauddin Zakariya University. Currently, she is serving as Professor (Assistant) in BZU, Multan. Previously she served as Lecturer for 8 years. She has supervised 34 M.Phil students and 5 PhD students under supervision. She has published 38 international research articles and review paper with a total IF120 with h-index 12, i-index 16 and total google scholar citations 437.
Dr. Tavpritech Sethi is founding Head of Center of Excellence in Healthcare at IIIT-Delhi. Associate Professor in the Department of Computational Biology. Clinician Data Scientist. Fellow of the DBT/Wellcome India Alliance and the Kavli Foundation (National Academy of Sciences, USA).
Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings.
Associate Professor, Institute of Nursing Science, Department of Public Health, University of Basel.