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.
He earned a B.S. degree in Management Information Systems from BYU in 2001 and then worked as a software engineer for five years at Intel Corporation in Chandler, Arizona. In 2011, he received a PhD in Biomedical Informatics from the University of Utah (advised by Dr. Lewis J. Frey). From 2011-2014, he was postdoctoral researcher jointly at the University of Utah (Department of Pharmacology and Toxicology, advised by Dr. Andrea H. Bild) and Boston University School of Medicine (Division of Computational Biomedicine, advised by Dr. W. Evan Johnson). He teaches classes in biology and bioinformatics.
The Piccolo lab's overarching goal is to use advanced computational approaches to act on large and complex data sets in an interdisciplinary approach. As such, the lab integrates knowledge and techniques across biology, computer science, medicine, and statistics using "dry lab biology'' to take advantage of massive, publicly available databases.
Dr. Ivan Miguel Pires is a web and mobile developer, and adjunct professor at Instituto Politécnico de Santarém, Portugal.
Related to the back-end development:
He has worked with native PHP and OutSystems, and some PHP frameworks, including Zend, Symfony, Yii, Silex and Wordpress.
Related to the database development:
Dr. Pires has primarily worked with MariaDB and MySQL.
Related to the client-side development:
Dr. Pires has worked with native JavaScript, BackboneJS, UnderscoreJS, jQuery, jQueryUI, AngularJS, Angular 2, Angular 4 and others.
Related to the mobile development:
Dr Pires' primary research experience is related to the Android development. With additional training in Swift 3.
Related to my academic experience:
Dr. Pires was awarded a MSc in Computer Science and Engineering. Following this, his research focused on the use of mobile devices' sensors for the development of a platform related to Ambient Assisted Living.
Dr. Pires was awarded his PhD, and following this, his research has focused on the automatic recognition of Activities of Daily Living to be implemented as a module for the development of a personal digital life coach.
Certifications: Professional Trainer Certification; Scrum Master Certified; Scrum Product Owner Certified; Google Android Programming Certification; Oracle Certified Associate Java SE 7 Programmer; iOS Technical Test; OutSystems Apprentice Developer Certification.
Tomaso A. Poggio, is the Eugene McDermott Professor at MIT and one of the most cited computational scientists. The citation for the 2009 Okawa prize mentions his “…pioneering research ranging from the biophysical and behavioral studies of the visual system to the computational analysis of vision and learning in humans and machines.” His recent work is on a theory of hierarchical architectures for unsupervised learning of invariant representations.
I studied Chemistry at The University of York, Computer Science at The University of Leeds, and obtained a PhD at the Australian National University. I worked on the comparison, classification and prediction of protein structure at ANU and in Germany at the University of Hamburg before joining the Jalview project in Dundee in 2004.
I co-founded the VIZBI conference in 2009, and joined PeerJ CS as Academic Editor in 2014. I serve on a variety of biological and computer science peer review panels and conference program committees. I'm interested in how we can do better science by creating better tools for data analysis and communication.
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).
Senior Lecturer in the Department of Psychology at Nottingham Trent University. Interested in modelling perception, time perception, multisensory processing, Bayesian models, and Open Science.
Torbjørn Rognes is the Head of the Biomedical Informatics Research Group at the Department of Informatics at the University of Oslo, and a research scientist at the Department of Microbiology at Oslo University Hospital, Norway. He obtained a MSc in computer science in 1994, a PhD in bioinformatics in 2001 and a professorship in 2010. His main interest is in development of algorithms and tools for sequence analysis, and has recently worked mostly with metagenomics and metabarcoding. He is a co-author of the VSEARCH, Swarm and SWIPE tools.
Professor, Department of Physics, Wake Forest University. cross-appointment with Cancer Biology. Director, Interdisciplinary Certificate Program in Structural and Computational Biophysics. Co-director, Crystallography and Computational Biosciences Shard Resource, WFCCC
Laboratory Fellow at the Pacific Northwest National Laboratory (PNNL), and Lead Scientist at the Environmental Molecular Sciences Laboratory (EMSL), a scientific user facility located at PNNL. Research interests emphasize coupled hydrologic and biogeochemical processes as they control water quality, ecosystem health, and contaminant transport and fate. Collaborates with multidisciplinary teams to perform integrated computational and experimental research across a wide range of physical scales from molecules and cells to aquifers and watersheds. Was selected by the National Ground Water Association to serve as the 2010 Henry Darcy Distinguished Lecturer, in which role he presented 65 invited lectures across North America and Europe.
I am an Associate Professor in Computer and Information Sciences at Northumbria. I received my PhD degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.
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.