The following people constitute the Editorial Board of Academic Editors for PeerJ Computer Science. These active academics are the Editors who seek peer reviewers, evaluate their responses, and make editorial decisions on each submission to the journal. Learn more about becoming an Editor.
Dr. Myers joined the Neurobehavioral Research Lab at VA NJHCS in 2009 and joined NJMS as a Professor in 2011. Her research interests focus on understanding the brain substrates of learning and memory, using techniques including computational neuroscience and human experimental neuropsychology.
She has authored and co-authored over 100 peer-reviewed scientific articles and several books including the undergraduate-level textbook “Learning and Memory: From Brain to Behavior.”
Executive Director of the Institute for People and Technology and Professor in the College of Computing at the Georgia Tech. Her research program, known as Everyday Computing, examines the human-computer interface implications of having computation continuously througout everyday life. She is a member of the SIGCHI Academy, a Sloan and Kavli research fellow, and serves on Microsoft Research's Technical Advisory Board. Mynatt is also the Vice-Chair of the Computing Community Consortium.
Prof. Hyun Myung received a BSc, MSc, and PhD in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 1992, 1994, and 1998, respectively. He was a Senior Researcher with the Electronics and Telecommunications Research Institute, Daejeon, from 1998 to 2002, a CTO and the Director with the Digital Contents Research Laboratory, Emersys Corporation, Daejeon, from 2002 to 2003, and a Principle Researcher with the Samsung Advanced Institute of Technology, Yongin, Korea, from 2003 to 2008. Since 2008, he has been a Professor with the Department of Civil and Environmental Engineering, KAIST, and is the Chief of the KAIST Robotics Program. Since 2019, he has been a Professor with the School of Electrical Engineering, and a Senior Member of IEEE and ICROS since 2015. He received the 2018 KAIST Joint Research Award, Prime Minister’s Citation Award 2018 National Science Day, and 2015 KAIST Top 10 Research Accomplishment Award. His current research interests include autonomous robot navigation, SLAM (simultaneous localization and mapping), SHM (structural health monitoring), machine learning, AI, and swarm robots.
In 1998, he joined OCÉ Print Logic Technologies, as senior scientist. He worked there on various problem of image analysis dedicated to scanning and printing. In 2002, he joined the Informatics Department of ESIEE, Paris, where he is professor and a member of the Laboratoire d’Informatique Gaspard Monge, Université Paris-Est Marne-la-Vallée. His current research interest is discrete mathematical morphology and discrete optimization.
Prof. Helder Nakaya is Deputy Director of School of Pharmaceutical Sciences at University of São Paulo, Brazil, Associate Professor at University of São Paulo, Brazil, and Adjunct Professor of the School of Medicine, Emory University, USA. He has a PhD in Molecular Biology with extensive training in Bioinformatics. He is an expert in Systems Vaccinology, an interdisciplinary field that combines systems-wide measurements, networks, and predictive modelling in the context of vaccines and infectious disease. Dr. Nakaya has developed systems biology approaches to understand and predict the mechanisms of vaccine induced-immunity for Yellow Fever, seasonal Influenza, Meningococcal, and Tularemia vaccines. His lab is focused on investigating the basis of infectious diseases using computational systems biology.
I am a microbiologist with experience in classical and molecular techniques applied to the study of human pathogens, mainly threatening RNA and DNA viruses. My research focuses on developing diagnostic tools, molecular epidemiology, and evolution, mostly on emergent and reemergent viruses. My team approaches include genomics and phylogenetic studies to characterize known and unknown viruses; field studies on arboviral emergence in a rural area in the Brazilian Amazon; immunogenetics studies related to susceptibility or resistance against microbial infections; studies on biomarkers of acute viral illness; in vitro & in vivo virus-host interactions and evolution; and SARS-CoV-2 and other respiratory viruses molecular epidemiology. Senior investigator of Fiocruz Amazonas and Deputy Director of Research and Innovation. Member of the Brazilian Society for virology since 1997. Member of the Brazilian network of specialists in Zika and correlated diseases.
Mario Negrello obtained a mechanical engineering degree in Brazil (1997), and later after a period in the industry (VW 1999-2004) including RD and Prototypes, obtained his Masters degree (2006) and PhD (summa cum laude) in Cognitive Science at the University of Osnabrück in Germany in 2009. At that time, in the Fraunhofer Institute in Sankt Augustin (Germany) for Intelligent Dynamics and Autonomous Systems, he researched artificial evolution of neural network controllers for autonomous robots (2007/08). This work was awarded a scholarship by the International Society of Neural Networks (INNS) to sponsor an eight-month period (2008/09) as a visiting researcher at the Computational Synthesis Lab at the Aerospace Engineering department of the Cornell University in USA (with Hod Lipson). In his first post doctoral period he acted a group leader at the Computational Neuroscience laboratory at the Okinawa Institute of Science and Technology (with Erik De Schutter). He now heads a neuroscience lab that combines empirical research and computational methods (with Chris De Zeeuw). He has published in the fields of Machine Learning and Cognitive Robotics, Artificial Life, Evolutionary Robotics, Neuroethology and Neuroscience, as well as a monograph published by Springer US in the Series Cognitive and Neural systems entitled Invariants of Behavior (2012).
I received a BEng (Hons) in Electrical and Computer Systems Engineering and a Ph.D. in Fault Diagnosis and Control System from Monash University in 2006 and 2009, respectively. I am now a Lecturer at the School of Engineering, Ulster University, UK, and I am attached to the Nanotechnology and Integrated BioEngineering Centre (NIBEC). My research interests include fault diagnosis, vehicular systems, modelling, and data analytics for anomaly detection and classification.
In 2014–2015, I was a postdoctoral researcher at the Division of Vehicular Systems, Linköping University, Sweden, where I worked with Volvo Car Corporation (VCC) on advanced fault diagnosis schemes in vehicular engines using model-based and data-driven methods.
I am also a co-investigator in SAFEWATER, a £5 million project funded by GCRF, where I lead the development and the optimisation of embedded algorithms in the SAFEWATER project. These embedded algorithms will be used for controlling the low-cost water disinfection technologies that are being developed during the SAFEWATER project.
I am also an Adjunct Senior Research Fellow with Monash University Malaysia where I served as a Lecturer from 2009, and subsequently a Senior Lecturer till 2017.
I am a Senior Member of the IEEE.
I am the Moderator for the IEEE TechRxiv and the Associate Editor of IEEE Access.
Dr. Peter Ng is Professor of Computer Science at Purdue University Fort Wayne and Fellow of the Society for Design and Process Science (SDPS). He has served as the Chair and Professor of Computer Science in the College of Information Science and Technology at the University of Nebraska at Omaha, NE (1998-2000), and in the College of Science and Arts at the New Jersey of Institute of Technology, Newark, NJ (1985-1998). He has served as the Executive Director for Global e-Learning Project at the International Programs and Studies of the University of Nebraska-Omaha (2000-2003) and as the Vice President for Fudan International Institute for Information Science and Technology, Shanghai, China (1999-2000). Dr. Ng received his Ph.D. in Computer Science from the University of Texas at Austin in 1974.
Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).
Founder and CTO of Pollere, Inc; Previously Vice President of Network Science at Packet Design LLC; Director, Advanced Internet Architecures in the Office of the CTO at Cisco Systems, Inc.; Past co-chair of the IETF Differentiated Services Working Group. Ph.D. in Electrical Engineering and Computer Sciences from University of California, Berkeley and a B.S. in Electrical Engineering from the University of Pittsburgh.
Dr. Marisa Fabiana Nicolas is a biologist with a Ph.D. in Genetics. She worked as a protein annotator in the UniProt/Swiss-Prot database from 2005 to 2007. Since May 2009 she is an Associate Researcher at the Bioinformatics Laboratory (Labinfo) at LNCC/MCTI Brazil. Dr. Nicolas has experience in Genetics, Molecular Biology, Genomics, and Bioinformatics. She works mainly in Bioinformatics applied to the analysis of genomes and transcriptomes (RNAseq and scRNAseq) and metabolic and regulatory networks in clinically relevant pathogens.