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 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 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 received a Laurea (Master degree) in Computer Science Engineering from University of Calabria (Italy) and a Dottorato di Ricerca (Ph.D. degree) in Electronics and Computer Science Engineering from the University of Napoli Federico II, Italy. Since 1999, he has been with the Department of Information, Infrastructures, and Sustainable Energy (DIIES, formerly DIMET) at University Mediterranea of Reggio Calabria, Italy, as an Adjunct Professor of Electrical Engineering. He is a Senior Member of IEEE (2015), and a Member of IEICE (2013). He serves as an Associate Editor for IEEE Access. In recognition of his exceptional contributions, he has been honored as an Outstanding Associate Editor for the year 2018 by the IEEE Access Editorial Board.
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, and recipient of the "Tudor Tanasescu" Prize from the Romanian Academy (2019).
Professor in Scientific Computing; Training as an evolutionary biologist working with water frogs in the Mediterranean Sea; Distributor of the Bayesian population genetics inference program MIGRATE.
Interested in computational biology, in particular in computational population genetics and phylogenetics
Matthew Belmonte's research asks how domain-general cognitive capacities shape the developmental emergence of both social and non-social perception, cognition and action -- giving rise to individual differences therein and autistic disorders thereof. Applying both cognitive neuroimaging (EEG/ERP and fMRI) and behavioural methods, Belmonte enunciated the now widely accepted and supported theory of dysconnectivity within and between autistic neural and cognitive networks, in which differences of local neural network entropy perturb activity-dependent development of long-range network connectivity, impairing top-down integrative control and enhancing autonomous processing. A current clinical application of this work assays the effect of computer-assisted training of prerequisite motor skills on autistic social communicative ability, whilst work in basic science is exploring interactions of dimensional autistic traits, cognitive sex differences, individualistic versus collectivistic cultures, and situational manipulations of psychological distance and level of construal. Belmonte is the recipient of a 2009 Faculty Early Career Development Award from the US National Science Foundation, the 2010 Neil O'Connor Award from the British Psychological Society, and a 2011 Fulbright-Nehru Fellowship.
Xianye Ben received a Ph.D. degree in pattern recognition and intelligent system from the College of Automation, Harbin Engineering University, Harbin, in 2010. She is currently working as a full Professor in the School of Information Science and Engineering, Shandong University, Qingdao, China. She has published more than 90 papers in major journals and conferences, such as IEEE T-IP, IEEE T-CSVT, IEEE T-MM, PR, CVPR, etc. Her current research interests include pattern recognition and image processing. She received the Excellent Doctoral Dissertation award from Harbin Engineering University. She was also enrolled by the Young Scholars Program of Shandong University.
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, 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.
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 an Associate Professor of computer science with Castilla-La Mancha University, Spain, obtaining the Tenure Distinction, in 2012. 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.
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.