Advisory Board and Editors Computer Education
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.
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).
Margo Seltzer
Margo Seltzer the Canada 150 Research Chair in Computer Systems and the Cheriton Family chair in Computer Science at The University of British Columbia. Her research interests are in systems, construed quite broadly: systems for capturing and accessing data provenance, file systems, databases, transaction processing systems, storage and analysis of graph-structured data, new architectures for parallelizing execution, and systems that apply technology to problems in healthcare.
Dr. Seltzer was a co-founder and CTO of Sleepycat Software, the makers of Berkeley DB, recipient of the 2020 ACM SIGMOD Systems Award.
She serves on Advisory Council for the Canadian COVID alert app and
the Computer Science and Telecommunications Board (CSTB) of the (US) National Academies.
She is a past President of the USENIX Assocation and served as the USENIX representative to the Computing Research Association Board of Directors and on the Computing Community Consortium.
She is a member of the National Academy of Engineering, a Sloan Foundation Fellow in Computer Science, and an ACM Fellow. She is recognized as an outstanding teacher and mentor, having received the Phi Beta Kappa teaching award in 1996, the Abrahmson Teaching Award in 1999, the Capers and Marion McDonald Award for Excellence in Mentoring and Advising in 2010, and the CRA-E Undergraduate Research Mentoring Award in 2017.
Kaize Shi
Kaize Shi received his PhDs in computer science and technology from the Beijing Institute of Technology, Beijing, China in 2022; in computer systems from the University of Technology Sydney (UTS), NSW, Australia in 2023. Now he is a Research Fellow at UTS.
His research interests include opinion mining in social media, emergency management, meteorological knowledge service, and artificial intelligence.
He serves as an editor for WCMC and PeerJ Computer Science, a guest editor for IJDSN and WCMC, and a reviewer for IEEE TITS, IEEE TCSS, IEEE IoTJ, etc. He also serves as a program committee member of SIGKDD, ACL, etc. He is a member of the IEEE SMC Society and the Artificial Intelligence Technical Committee of the China Meteorological Service Association.
Osama Sohaib
Dr Osama Sohaib is a Lecturer at the Faculty of Engineering and Information Technology, University of Technology Sydney. His research interest areas include information systems modelling, e-Services, Human-Computer Interaction (HCI) and Applied Machine Learning.
Tamara Sumner
I lead an interdisciplinary research and development lab that studies how computational tools - combining cognitive science, machine intelligence, and interactive media - can improve teaching practice, learning outcomes and learner engagement. Inquiry Hub, formerly known as Digital Learning Sciences, is a mission-centered, research-practice partnership involving faculty and students from the University of Colorado Boulder, scientific and technical staff from the University Corporation for Atmospheric Research (UCAR), and educators and administrators from Denver Public Schools. Our research and development team combines expertise in cognitive science, learning sciences, science education, user-centered design and evaluation, digital content management, software engineering, educational data mining, and machine learning/natural language processing.
I am also a Professor at the University of Colorado, with a joint appointment between the Institute of Cognitive Science and the Department of Computer Science. I am currently serving as the Director of the Institute of Cognitive Science. My research and teaching interests include personalized learning, learning analytics, cyber learning environments, educational digital libraries, scholarly communications, human centered computing, and interdisciplinary research methods for studying cognition. I have written 140 articles on these topics, including over 80 peer-reviewed scholarly publications.
Sándor Szénási
Sándor Szénási has earned his MSc degree in 2004 from Faculty of Informatics of Eötvös Loránd University, Budapest. He has received his PhD in 2013 from Doctoral School of Applied Informatics (GSAI) of Óbuda University, Budapest.
Currently, he is an associate professor in the Institute of Applied Informatics of John von Neumann Faculty of Informatics, Óbuda University, Budapest. He is the leader of the local CUDA Teaching Center.
His research areas are (data) parallel algorithms, GPU programming and medical image processing. He engages both in theoretical fundamentals and in algorithmic issues with respect to realization of practical requirements and given constraints.
He is the member of the John von Neumann Computer Society and IEEE, and also a reviewer of several conferences and journals.
Valerie Taylor
Valerie Taylor is the director of the Argonne National Laboratory Mathematics and Computer Science Division. She received her Ph.D. in electrical engineering and computer science from the University of California, Berkeley, in 1991. She then joined the faculty in the Electrical Engineering and Computer Science Department at Northwestern University, where she was a member of the faculty for 11 years. In 2003, she joined Texas A&M, where she served as head of the computer science and engineering department and senior associate dean of academic affairs in the College of Engineering and a Regents Professor and the Royce E. Wisenbaker Professor in the Department of Computer Science.
Julita Vassileva
Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies.
Sebastian Ventura
Sebastián Ventura is professor of Computing Science and Artificial Intelligence at the University of Córdoba. His teaching is devoted to computer programming, machine learning and data mining in undergraduate and graduate studies. His research labor is developed as head of the "Knowledge Discovery and Intelligent Systems" (KDIS) research group, and it is focused on machine learning, data mining, big data, computational intelligence and its applications.
Stefan Wagner
Stefan Wagner is full professor of software engineering at the Technical University of Munich in the TUM School of Communications, Information and Technology. He studied computer science in Augsburg and Edinburgh and psychology in Hagen. He holds a doctoral degree in computer science from TU Munich, where he also worked as a post-doc. Previously, he was a full professor at the University of Stuttgart. His main research interests are empirical studies, software quality, human factors, AI-assisted software engineering, AI-based software and automotive software. He is a member of GI and a senior member of ACM and IEEE.
Jingbo Wang
Prof Wang's research spans several disciplines including quantum dynamics theory, quantum computation and information, atomic physics, and computational science. She has published extensively, including a recent book published by Springer, four book chapters, and numerous journal papers. Prof Wang currently leads the quantum dynamics and computation group at The University of Western Australia. She and her research team have developed advanced numerical techniques to solve problems in both quantum and classical domain.