Advisory Board and Editors Network Science & Online Social Networks

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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Vera Pancaldi

I was trained as a physicist at Imperial College London and soon found my way in systems and computational biology. Since 2018 I lead a computational biology team at the Cancer Research Center of Toulouse (CRCT) working on modelling cancer and its interactions with the immune system.

I have worked on various projects on stress response in fission yeast and prediction of protein interactions (in the group of Jurg Bahler at Sanger Institute/University College London), epigenomics and hybrid vigour in plants (with David Baulcombe at Cambridge University) and integrative epigenomics in cancer (with Alfonso Valencia at CNIO, Madrid and Barcelona Supercomputing Center). My main current focus is understanding the relationship between genome architecture and heterogeneity at various levels and relating heterogeneity of tumour infiltrating immune cells to patient's prognoses in different cancers. I also co-founded Cambridge Networks Network in 2011, an online forum for scientists interested in networks in Cambridge in beyond.

Bioinformatics Computational Biology Data Mining & Machine Learning Genomics Network Science & Online Social Networks

Gabriella Pasi

Gabriella Pasi is Full Professor at the University of Milano Bicocca, Italy, where she leads the Information Retrieval research Lab within the Department of Informatics, Systems and Communication. Her research activity mainly addresses the definition of models and techniques for a personalized access to information (in particular related to the tasks of information Retrieval and Filtering). She is also working on the analysis of user generated content in social media.

Data Mining & Machine Learning Data Science Digital Libraries Human-Computer Interaction Network Science & Online Social Networks Social Computing Spatial & Geographic Information Systems World Wide Web & Web Science

Tomas Perez-Acle

Biologist, PhD in Biotechnology. Director of the Centro BASAL Ciencia & Vida. Head Researcher of the Computational Biology Lab (dLab) at Fundacion Ciencia & Vida, Santiago, Chile. Research Professor at Facultad de Ingeniería y Tecnología, Universidad San Sebastián.

Agents & Multi-Agent Systems Bioinformatics Biophysics Computational Biology Infectious Diseases Mathematical Biology Network Science & Online Social Networks Social Computing

Radia Perlman

Inventor of innovations that make today's network protocols scalable, robust, and self-organizing. In particular, link state routing, spanning tree, and TRILL. Also, innovations in security including distributed algorithms resilient against malicious participants, assured expiration of data from storage, and PKI trust models.

Awards
- National Inventors Hall of Fame induction (2016)
- Internet Hall of Fame induction (2014)
- SIGCOMM Award (2010)
- USENIX Lifetime Achievement Award (2006)
- Recipient of the first Anita Borg Institute Women of Vision Award for Innovation in 2005
- Silicon Valley Intellectual Property Law Association Inventor of the year (2003)
- Honorary Doctorate, Royal Institute of Technology (June 28, 2000)
- Twice named as one of the 20 most influential people in the industry by Data Communications magazine: in the 20th anniversary issue (1992) and the 25th anniversary issue (1997). Perlman is the only person to be named in both issues.
- Fellow of the Association for Computing Machinery, class of 2016

Adaptive & Self-Organizing Systems Algorithms & Analysis of Algorithms Computer Education Computer Networks & Communications Cryptography Databases Distributed & Parallel Computing Human-Computer Interaction Network Science & Online Social Networks Security & Privacy

Ana Reyes-Menendez

PhD Cum-Laude and Extraordinary Award in Business Economics from Rey Juan Carlos University specialized in Neuromarketing and Digital Marketing. Post-doctoral Research stays in Universidade Portucalense, Universidade do Algarve and RCC at Harvard University.

Assistant Professor of the Department of Business at Rey Juan Carlos University. Research focused on Online Consumer Behavior, Information Science, Data Science for Business and Biometrics.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioinformatics Brain-Computer Interface Data Mining & Machine Learning Human-Computer Interaction Network Science & Online Social Networks

Joanna Rosak-Szyrocka

Dr. Joanna Rosak-Szyrocka is Erasmus+ coordinator at the Faculty of Management, Czestochowa University of Technology, Poland. She specializes in the fields of digitalization, industry 4.0, society 5.0, IoT, AI, quality management, and quality 4.0.

Data Mining & Machine Learning Human-Computer Interaction Internet of Things Network Science & Online Social Networks Sentiment Analysis

José Ignacio Santos

I hold a Ph.D. in Industrial Engineering from the University of Burgos and a Bachelor's degree in the same field from the University of Valladolid. Additionally, I have earned an M.Sc. in Business Economics from UNED and an M.Sc. in Information Systems from the School of Industrial Management (EOI) in Madrid. At the outset of my career, I dedicated myself to developing methodologies for the study of complex systems, a commitment that has defined my research trajectory. My work is distinguished by a dual focus. First, I am deeply interested in employing a variety of methods and techniques—such as agent-based modeling, complex network theory, and machine learning. These approaches are instrumental in my ongoing study of complex systems. Second, I am committed to an interdisciplinary approach, actively collaborating with experts across engineering, social sciences, anthropology, and archaeology. This cross-disciplinary engagement has been crucial in tackling complex challenges, leading to significant contributions in both the social sciences and humanities and the domains of computer science and engineering.

Agents & Multi-Agent Systems Network Science & Online Social Networks

Rossano Schifanella

Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.

Computer Networks & Communications Data Mining & Machine Learning Data Science Distributed & Parallel Computing Human-Computer Interaction Mobile & Ubiquitous Computing Multimedia Network Science & Online Social Networks Social Computing Spatial & Geographic Information Systems World Wide Web & Web Science

Tavpritesh Sethi

Dr. Tavpritech Sethi is founding Head of Center of Excellence in Healthcare at IIIT-Delhi. Associate Professor in the Department of Computational Biology. Clinician Data Scientist. Fellow of the DBT/Wellcome India Alliance and the Kavli Foundation (National Academy of Sciences, USA).

Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings.

Artificial Intelligence Bioinformatics COVID-19 Data Mining & Machine Learning Data Science Network Science & Online Social Networks Public Health

Yilun Shang

I am an Associate Professor in Computer and Information Sciences at Northumbria. I received my PhD degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.

Adaptive & Self-Organizing Systems Agents & Multi-Agent Systems Algorithms & Analysis of Algorithms Artificial Intelligence Autonomous Systems Computational Science Data Mining & Machine Learning Data Science Mathematical Biology Network Science & Online Social Networks Optimization Theory & Computation Population Biology Robotics Scientific Computing & Simulation Social Computing Statistics Theoretical & Computational Chemistry Thermodynamics & Statistical Mechanics

Kaize Shi

Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He has PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include natural language generation, social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, and artificial intelligence technology. He is the associate editor of IEEE Transactions on Computational Social Systems and academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also served as a guest editor for the Information Fusion, International Journal of Distributed Sensor Networks, etc. He served as a program committee member for conferences of ACL, EMNLP, NeurIPS, SIGKDD, ICDM, etc. He is a member of the Artificial Intelligence Technical Committee of the China Meteorological Service Association.

Artificial Intelligence Computer Education Data Mining & Machine Learning Data Science Digital Libraries Distributed & Parallel Computing Emerging Technologies Natural Language & Speech Natural Resource Management Network Science & Online Social Networks Neural Networks Sentiment Analysis Social Computing Text Mining

Filipi Nascimento Silva

Dr. Filipi Silva is a Research Scientist at the Observatory on Social Media (OSoMe), Indiana University. With a Ph.D. in Computational Physics from the University of São Paulo, his expertise lies in the intersection of complex networks, machine learning, text analysis and data visualization. Dr. Silva's research includes contributions to many fields, from bioinformatics, to digital art representation. He is the developer of Helios-Web, a state-of-the-art network visualization tool. And his current interests include mapping science, detecting suspicious activities and uncovering narratives in social media data.

Data Mining & Machine Learning Data Science Natural Language & Speech Network Science & Online Social Networks Visual Analytics