Advisory Board and Editors Scientific Computing & Simulation
Bilal Alatas
Prof. Alatas received his B.S., M.S., and Ph.D. degrees from Firat University. He works as a Professor of Software Engineering at Firat University and he is the head of same department. He is the founder head of the Computer Engineering Department of Munzur University and Software Engineering Department of Firat University. His research interests include artificial intelligence, data mining, social network analysis, metaheuristic optimization, and machine learning. Dr. Alatas has published over 250 papers in many well-known international journals and proceedings of the refereed conference since 2001. He has been editor of twelve journals five of which are indexed in SCI and reviewer of seventy SCI-indexed journals.
Muhammad Aleem
Muhammad Aleem received his Ph.D. degree with distinction in computer science from Leopold-Franzens University, Innsbruck, Austria in 2012. His research interests include parallel and distributed computing comprise programming environments, multi-/many-core computing, performance analysis, cloud computing, and big-data processing. He has published more than 50 research papers in the reputed Journals and International conferences and authored 3 book chapters and 2 books. He is a co-director of the Parallel Computing and Networks (PCN) research group. He is currently working as Professor at National University of Computer and Emerging Sciences, Islamabad, Pakistan.
Ilkay Altintas
Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.
Diego R Amancio
Diego Raphael Amancio is an Associate Professor at University of São Paulo (Brazil). His research interest includes complex networks, machine learning, data mining, science of science, scientometrics, natural language processing and complex systems.
Giovanni Angiulli
Giovanni Angiulli received the Laurea (Master's degree) in Computer Science Engineering from the University of Calabria (Italy) and the Dottorato di Ricerca (PhD degree) in Electronics and Computer Science Engineering from the University of Napoli Federico II, Italy, in 1993 and 1998, respectively. Since 1999, he has been with the Department of Information, Infrastructures, and Sustainable Energy (DIIES, formerly DIMET) at the University Mediterranea of Reggio Calabria, Italy, as an Adjunct Professor. His main research activities concern Computational Electromagnetics, Group Theory methods, and Surrogate ModellingTechniques applied to model microwave circuits and antennas. He also worked on microwave imaging to detect female breast tumors and Ground Penetrating Radar applications in cultural heritage in the last years. He is a Senior Member of IEEE (2015) and a Member of IEICE (2013). In addition, he serves as an Associate Editor for IEEE Access. In recognition of his exceptional contributions, he has been honoured as an Outstanding Associate Editor for 2018 by the IEEE Access Editorial Board. He served as a Guest Editor for Mathematics (MDPI) Special Issue on “Surrogate modeling and related methods in science and engineering” (2021).
Valentina Emilia Balas
Valentina E. Balas is currently Full Professor at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania.
She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 350 research papers. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing.
She is the Editor-in Chief to IJAIP and to IJCSysE, and is evaluator expert for national, international projects.
Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations.
She served as General Chair of SOFA conferences in nine editions organized in the interval 2005-2020 and held in Romania and Hungary.
Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker.
She is a member of EUSFLAT, member of SIAM and a Senior Member IEEE, member in TC Fuzzy Systems (IEEE CIS), chair of the Task Force 14 in TC Emergent Technologies (IEEE CIS), member in TC Soft Computing (IEEE SMCS).
Dr. Balas was past Vice-president ( Awards) of IFSA -(2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics. She is the recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019) and “Stefan Odobleja” Prize from Romanian Academy of Scientists (2023).
Joanne Berghout
Dr. Berghout received her PhD in Biochemistry from McGill University in Montreal, QC where she researched the genetics of complex traits and susceptibility to infectious disease in humans and mouse models. Following that, she spent three years as the Outreach Coordinator for the Mouse Genome Informatics (MGI) database in Bar Harbor, ME. There, she trained researchers in genetics, genomics, data structures and data mining to answer biological questions, and worked closely with other members of the MGI group to develop and optimize the MGI resource. Now her research interests include genetics of all kinds, personalized medicine, big data, and scientific communication. She is currently pursuing projects in precision medicine for analysis of transcriptome data from patients with rare lung diseases (Sarcoidosis, Coccidiomycosis), and integrative network analysis of complex traits including Alzheimer's Disease. She is currently appointed at the University of Arizona's Center for Biomedical Informatics and Biostatistics (CB2) and The Center for Genetics and Genomic Medicine (TCG2M) in Tucson, AZ.
Christine L Borgman
Christine L. Borgman, Professor & Presidential Chair in Information Studies at UCLA, is the author Big Data, Little Data, No Data ( 2015), Scholarship in the Digital Age (2007) and From Gutenberg to the Global Information Infrastructure (2000), and about 200 other publications in information studies, computer science, and communication. She is a Fellow of the ACM and of AAAS; and a member of the Board of Directors of the Electronic Privacy Information Center.
M Emilia Cambronero
María Emilia Cambronero received a Ph.D. degree from the University of Castilla-La Mancha, in 2007, where she was an Assistant Professor for several years. She is currently a Full Professor of computer science with Castilla-La Mancha University, Spain. Her research goals are aimed to make the software more reliable, more secure, and easier to design. Her research interests include software engineering and related areas, including contract specification, program monitoring, testing, and verification. Her research combines strong theoretical foundations with realistic experimentation in the areas of web services and cloud computing.
Reed A Cartwright
Head of Human and Comparative Genomics Laboratory in the Biodesign Institute at Arizona State University. Affiliated faculty with the Center for Evolution and Medicine, ASU.
My research is at the interface of genetics, statistics, and software development. I am primarily interested in developing statistical models to estimate evolutionary process from large, genomic datasets. Currently most of my research is connected to mutations.
Prasenjit Chatterjee
Dr. Prasenjit Chatterjee is currently a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 4700 citations and 120 research papers in various international journals and peer reviewed conferences. He has authored and edited more than 25 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management and sustainability modelling.
Neil P Chue Hong
Neil Chue Hong is the founding Director and PI of the Software Sustainability Institute, a collaboration between the universities of Edinburgh, Manchester, Oxford and Southampton. He enables research software users and developers to drive the continued improvement and impact of research software. From 2007-2010, he was Director of OMII-UK at the University of Southampton, which provided and supported free, open-source software for the UK e- Research community. In addition to sitting on several project advisory committees, he is the Editor-in-Chief of the Journal of Open Research Software, chair of the Met Office / UKRI ExCALIBUR Steering Committee, past chair of the EPSRC Strategic Advisory Team on e-Infrastructure, co-author of "Best Practices for Scientific Computing" and "An Open Science Peer Review Oath", and co-organiser of the Software Engineering for Science workshop series.