Advisory Board and Editors Data Mining & Machine Learning
Ivan Miguel Pires
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.
Douglas Pires
Douglas Pires is a Senior Lecturer in Digital Health in the School of Computing and Information Systems at the University of Melbourne. Previously, he was a group leader and researcher in public health at Oswaldo Cruz Foundation/Brazil. He was also a postdoctoral researcher fellow at the University of Cambridge and University of Melbourne. He received a PhD in Bioinformatics from the Universidade Federal de Minas Gerais/Brazil and a BSc in Computer Science, both with highest honours, by the same university. His research interests include: Computational Biology, Translational Bioinformtaics and Machine Learning.
Alessandro Sebastian Podda
Alessandro Sebastian Podda is an Assistant Professor (RTDa) at the Department of Mathematics and Computer Science of the University of Cagliari. He received a master's degree in Computer Science from the University of Cagliari (cum laude) in 2014, and a PhD in Mathematics and Computer Science in 2018. He has been visiting scientist at the Laboratory of Cryptography and Industrial Mathematics of the University of Trento since 2017. In 2021, he was formally commissioned to a six month collaboration with the Ispra Joint Research Center (JRC) of the European Commission under the research tender ref. JRC/IPR/2020/VLVP/2916.
Currently, Alessandro Sebastian Podda is Research Unit Coordinator (AI for eHealth and Smart Cities) at the Artificial Intelligence and Big Data Laboratory and member of the Blockchain Laboratory. He has been also the Work Package Lead of the Doutdes and Sardcoin projects and participates/d in several research projects including AlmostAnOracle, Nomad, Safespotter, Social Glue and Mister.
To date, he has been the co-author of 15 articles in international journals in the field of computer science, 13 conference and workshop proceedings, and 1 book chapter, for which he has over 530 citations on Google Scholar and over 390 on Scopus, as well as a speaker (eg. LOD 2022, ICCSA 2021, PerAwareCity 2021, MaDaIN 2020, FACS 2015, etc.), co-chair (AISC 2021/2022) and program committee member at numerous international scientific events (eg. HT2022, LOD 2021, IEEE HPCC 2022, IEEE CPS-COM 2021, etc.).
Joram M Posma
Lecturer in Cancer Informatics at Imperial College London and Fellow at Health Data Research (HDR) UK. Fellow of the Higher Education Academy (FHEA) and Member of the Royal Society of Chemistry (MRSC).
Adam W Potter
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.
James B Procter
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.
Kai Qin
Kai Qin received the Ph.D. degree from the Nanyang Technological University (Singapore) in 2007. After that, he worked at the University of Waterloo (Canada) and then INRIA (France) from 2007 to 2012. He joined the RMIT University (Australia) in 2012, first as a Vice-Chancellor’s research fellow and then promoted to a lecturer. His major research interests include evolutionary computation, machine learning, computer vision, GPU computing and service computing. He is an IEEE senior member.
Michela Quadrini
Current research is focused on Artificial Intelligence, Bioinformatics, Formal methods and Languages for the modelling, analysis and verification of Distributed Systems.
Waqar Shahid Qureshi
Dr. Waqar Shahid Qureshi is an applied AI researcher and engineer with over 22 years of professional experience across academia, research, and industry. His interdisciplinary expertise lies in artificial intelligence, computer vision, robotics, and intelligent sensing systems, with a strong emphasis on real-world deployment in precision agriculture, consumer electronics, and civil infrastructure.
Hossein Rahmani
Hossein Rahmani received his B.Sc. degree in computer software engineering from the Isfahan University of Technology, Isfahan, Iran, in 2004, an M.Sc. degree in software engineering from Shahid Beheshti University, Tehran, Iran, in 2010, and a Ph.D. degree from The University of Western Australia, in 2016.
He has published several papers in top conferences and journals such as CVPR, ICCV, ECCV, and the IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. He is currently an Associate Professor (Lecturer) with the School of Computing and Communications, Lancaster University. Before that, he was a Research Fellow at the School of Computer Science and Software Engineering, The University of Western Australia. His research interests include computer vision, action recognition, 3D shape analysis, and machine learning.
Sivaramakrishnan Rajaraman
Dr. Sivarama Krishnan Rajaraman is working as a research scientist at the National Library of Medicine (NLM), National Institutes of Health (NIH). Dr. Rajaraman received his Ph.D. in Information and Communication Engineering from Anna University, India. He is involved in projects that aim to apply computational sciences and engineering techniques toward advancing life science applications. These projects involve the use of medical images for aiding healthcare professionals in low-cost decision-making at the POC screening/diagnostics. He is a versatile researcher with expertise in machine learning, data science, biomedical image analysis, and computer vision. He has more than 15 years of experience in academia where he taught core and allied subjects in biomedical engineering. He has authored several national and international journal and conference publications in his area of expertise. Dr. Rajaraman is an Editorial Board member of the PLOS ONE, PeerJ Computer Science, MDPI Knowledge, and MDPI Electronics journals. He is reviewing manuscripts for more than 75 journals including those published by Nature, LANCET, IEEE, MDPI, Elsevier, and other conferences including CVPR, EMBS, CBMS, and MICCAI. Dr. Rajaraman is a Life Member of the Society of Photo-optical Instrumentation Engineers (SPIE), a regular member of the Institute of Electrical and Electronics Engineers (IEEE), IEEE Engineering in Medicine & Biology Society (EMBS), and the Biomedical Engineering Society (BMES).
Rommel T J Ramos
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).