Advisory Board and Editors Radiology & Medical Imaging
Kamran Shaukat
Dr Kamran Shaukat is a Senior Learning Facilitator at Torrens University Australia and a researcher in the Centre for Artificial Intelligence Research and Optimisation. With more than 12 years of teaching and research experience, he specialises in artificial intelligence, machine learning, deep learning, cybersecurity, malware detection and health informatics. Kamran is recognised in the top 2% of researchers globally, with more than 75 peer-reviewed publications, four authored books, an h-index of 36 and over 5,600 citations. He has demonstrated excellence in curriculum development, PhD supervision and international academic collaboration, and is committed to leading industry-relevant programs and interdisciplinary research. Kamran holds a PhD in Computer Science and a Master of Science in Computer Science, and is a member of both ACM and IEEE.
Jair C. Soares
Dr. Soares obtained his M.D. in 1990 from the University of Sao Paulo School of Medicine, Brazil. He completed his psychiatric training at the University of Pittsburgh Medical Center, followed by a postdoctoral fellowship in neuroimaging research at the department of Psychiatry at Yale University School of Medicine. He has extensive clinical research experience on brain imaging, neurocognitive methods and clinical trials primarily in the field of mood disorders.
Kaspar Staub
I am an epidemiologist and historian interested in anthropometry, body height, obesity and neonatal health on the one hand, and historical epidemiology (past and present epidemics and pandemics, etc.) on the other. I am leading a research group at the University of Zurich at the Institute of Evolutionary Medicine.
Easter S Suviseshamuthu
Dr. Suviseshamuthu is an Associate Research Scientist at the Human Performance and Engineering Research Lab, Kessler Foundation, West Orange, NJ, U.S.A., since Dec. 2015.
He received the B.E. degree in Electronics and Communication Engineering from the Government College of Engineering, Tirunelveli, India (1988), the M.E. degree in Applied Electronics from Bharathiar University, Coimbatore, India (2001), and the Ph.D. in Multispectral Satellite Image Analysis from the Laboratoire des Sciences de l’Information et des Systèmes, Université de la Méditerranée, Marseille, France (2007). He was Post-Doctoral Fellow at the Bioimaging and Biostructure Institute, Italian National Research Council, Naples, Italy, (2008 to 2010), the Department of Mathematical Engineering, Université catholique de Louvain, Louvain-la-Neuve, Belgium, (2010 to 2014), and the GIPSA-Lab, Université Joseph Fourier, Grenoble, France (2014 to 2015).
His research focus encompasses statistical signal processing, blind source separation, medical imaging, optimization on matrix manifolds, machine learning, biomedical signal analysis, and bio-inspired computing. He serves as Associate Editor of IEEE Access.
Luca Testarelli
Professor Testarelli is Associate at the 1st Faculty of Medicine and Surgery of the University of Rome “La Sapienza” since 2006. Dentist in Dental Clinic of Policlinico Umberto I’s Hospital of Rome since 2011. He completed a Ph.D with the highest marks at the University of Rome “La Sapienza” (2004) and obtained a Specialization Diploma in Orthognathodontics, at the University of L’Aquila (2008). Professor Testarelli is a member of several scientific national and international associations, and a member of the editorial board for several dental scientific journals. He is also Professor of Dental Restorative, Endodontics in School of Dentistry in Sapienza University of Rome, Professor of Oral Care in School of Dental Hygienist in Sapienza University of Rome and Professor of PhD Dentistry in Sapienza University of Rome.
Jessica Turner
2CI in Neurogenomics Associate Professor, Georgia State University; Associate Professor, Translational Neuroscience, Mind Research Network (Albuquerque, New Mexico).
Alessandro M Viganò
Dr. Alessandro Viganò is a Neurologist at the Fondazione Don Gnocchi in Italy.
His areas of expertise include Headaches, Migraine, Severe Brain Injury, Strokes, Dysphagia, Focal Muscle Vibration.
Jamie D Walls
Jamie D. Walls obtained his PhD in chemistry in 2003 from UC Berkeley under the supervision of Alex Pines. He subsequently performed postdoctoral research at UCLA (with Prof. Yung-Ya Lin) and at Harvard University (with Prof. Eric J. Heller) before joining the faculty at the University of Miami in 2008, where he is currently an Associate Professor in the Department of Chemistry.
The research in the Walls group mainly focuses on nuclear magnetic resonance (NMR) methodological development and applications and studying spin physics. In particular, there is a focus on research into improving resolution in NMR and expanding the ways we can control spin dynamics.
Shibiao Wan
Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.
With more than 15 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >50 articles in top-tiered journals such as Genome Research, Nature Communications, Science Advances, Circulation Research, Briefings in Bioinformatics, and Bioinformatics. Dr. Wan is the Editor-in-Chief for Current Proteomics, and an Editorial Board Member for a series of prestigious journals such as Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, PeerJ Computer Science, BioMed Research International, and Computational and Mathematical Methods, and a guest associate editor for multiple high-impact journals including Frontiers in Immunology, Frontiers in Cell and Developmental Biology, Frontiers in Pharmacology, Biology, Frontiers in Genetics, and Genes.
Dr Wan is a TPC member for >20 machine learning related international conferences including IEEE ICTAI. Dr. Wan is also a reviewer for >70 prestigious journals including Nature Biotechnology, Nature Methods, Nature Communications, Nature Computational Science, Science Advances, Nucleic Acids Research, Advanced Science, Cancer Research, Genome Biology, and Genome Medicine. Dr. Wan has received a number of accolades including the Springer Nature Editor of Distinction Award in 2025 by Springer Nature, the New Investigator Award in 2024 by UNMC, the FIRST Award in 2023 by Nebraska EPSCoR, the Outstanding Young Alumni Award in 2022 by HK PolyU as well as the Global Peer Review Awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 by Clarivate. Dr. Wan is a member of AACR, ISCB and ACM and an IEEE Senior Member.
Jincheng Wang
Dr. Jincheng Wang is a research fellow at global center for Biomedical Science and Engineering, Hokkaido University Faculty of Medicine. Dr. Jincheng Wang worked as a hepatologist in Nanjing Drum Tower Hospital for 3 years. He published 29 articles and obtained more than 10 patents (https://orcid.org/0000-0001-9345-2388). His research interests are natural products, cancer treatment, radiomics, medical informatics and computational methods in personalized medicine.
Dapeng Wang
Dr Dapeng Wang is a Senior Bioinformatician in Integrative Analysis at the COMBAT consortium at the University of Oxford using multi-omics techniques in combination with the cutting-edge bioinformatic approaches and statistical methods to explore the pathogenesis of COVID-19 and stratification of patients as well as inform the treatment strategy based on genomics information.
Dr Wang received a bachelor’s degree in mathematics from the Shandong University in 2006 and obtained a PhD degree in bioinformatics from the Beijing Institute of Genomics of the Chinese Academy of Sciences in 2011. After his graduation, he continued to conduct research at the same institute from 2011 to 2014 and afterwards moved to the UK to take up various roles at the Cancer Institute at the University College London (2014-2016), the Department of Plant Sciences at the University of Oxford (2016-2018) and the LeedsOmics at the University of Leeds (2018-2020).
Jennifer L Whitwell
Associate Consultant and Associate Professor of Radiology, Mayo Clinic.
Research focuses on the investigation of neuroimaging biomarkers in different neurodegenerative disorders, particularly frontotemporal dementia, primary progressive aphasia, atypical Alzheimer's disease and progressive supranuclear palsy.
Editorial board member, Scientific Reports journal, Nature Publishing Group, 2014-present
Academic Editor, PeerJ journal, 2012-present
Junior Investigator Award for Excellence in Imaging and Aging Research, American Federation for Aging Research-GE Healthcare, 2010
Best Paper in Alzheimer's Disease Neuroimaging: New Investigator Award, Alzheimer's Association, 2009