Advisory Board and Editors Network Science & Online Social Networks

Journal Factsheet
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Giuseppe Agapito

Giuseppe Agapito is an associate professor and a senior research scientist in the field of Parallel and Distributed Computing, Machine Learning and Graph Theory at the University Magna Græcia, Catanzaro. His research interests focus on the study of machine learning methods that can be used to take advantage of the vast amount of data that are produced nowadays. In particular, the research focuses on the development, implementation, and application of computational intelligence techniques for addressing complex real-world problems in different domains, especially in the field of biology and omics sciences.

Giuseppe Agapito has published his research in various top-quality academic outlets, with more than 100 papers in international journals and conference proceedings. He serves as a reviewer for several scientific journals and a chair and program committee member of several national and international conferences.

Iftikhar Ahmed

Dr. Ahmed is a Professor of Software Engineering at the University of Europe for Applied Sciences in Germany. His research interests lie in Responsible AI, Explainable AI, and Social Network Analysis. Dr. Ahmed holds a Ph.D. in Computer Science from Saarland University, Germany, and a Master's degree in the same field from Albert Ludwigs University of Freiburg, Germany.

Yong-Yeol Ahn

Yong-Yeol (YY) Ahn is a Professor at Indiana University School of Informatics, Computing, and Engineering. He was a Visiting Professor at MIT during 2020-2021. Before joining Indiana University, he worked as a postdoctoral research associate at the Center for Complex Network Research at Northeastern University and as a visiting researcher at the Center for Cancer Systems Biology at Dana-Farber Cancer Institute after earning his PhD in Statistical Physics from KAIST in 2008.

His research focuses on developing network science and machine learning methods, and applying them to complex social and biological systems. He is a recipient of several awards including Microsoft Research Faculty Fellowship and LinkedIn Economic Graph Challenge.

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.

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.

Lora Aroyo

Lora Aroyo is a Full Professor at the Web & Media group, Department of Computer Science, Department of Computer Science, VU University Amsterdam, The Netherlands. Within the framework of the Network Institute, she is involved in several research projects focussed on crowdsourcing and human computation, collecting data, data quality, and especially hybrid human-AI systems for video understanding. She has led major research projects in semantic search, recommendation systems, event-driven access to online multimedia collections, and through these has become a recognized leader in digital humanities, cultural heritage, and interactive TV.

Wolfgang Banzhaf

Wolfgang Banzhaf is the John R. Koza Chair in Genetic Programming at the Department of Computer Science and Engineering at Michigan State University and an Honorary University Research Professor at Memorial University of Newfoundland. He received a "Diplom in Physik" degree in Physics from the LMU Munich and his Dr.rer.nat (PhD) from the Dept. of Physics of the TH Karlsruhe, now KIT. After a postdoc at the U. of Stuttgart, he was a Visiting and Senior Researcher at the Central Research Lab of Mitsubishi Electric in Japan and at MERL in Cambridge, USA. From 1993 to 2003 he was Associate Professor for Applied Computer Science at TU Dortmund.

Silvia Bartolucci

Silvia Bartolucci is a lecturer working in the Department of Computer Science within the Financial Computing and Analytics Group. Prior to joining UCL, Silvia worked at Imperial College Business School as Research Associate in the Department of Finance within the Centre for Financial Technology. Silvia has a background in Theoretical Physics from Sapienza University in Rome and holds a Ph.D. in Applied Mathematics from King's College London.

José Alberto Benítez-Andrades

Jose Alberto Benítez-Andrades received the B.S. degree in Computer Engineering and PhD in Production Engineering and Computing from the University of León, Spain, in 2010 and 2017 respectively. He is Associate Professor at the University of León. His research is related to the application of artificial intelligence techniques, knowledge engineering and social network analysis applied mainly to problems related to the field of health. He has more than 40 publications indexed in JCR, 30 communications in international conferences, is associate editor of the journal BMC Medical Informatics and Decision Making, has organized several international conferences since 2018 and is an evaluator of international projects for the government of Spain and Peru.

Mario Luca Bernardi

I received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.

Since 2003 I have worked as a researcher in the field of software engineering writing more than 90 papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering, and re-engineering, with a particular interest in software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as a reviewer of papers submitted to some of the main journals and magazines in the field of data and process mining, software engineering, software maintenance, program comprehension, and the application of computational intelligence approaches in the above fields.
Currently, I am an Senior Researcher at University of Sannio, holding the course of "Pervasive Computing".

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.

Jinde Cao

Jinde Cao (Fellow, IEEE) received the B.S. degree from Anhui Normal University, Wuhu, China, the M.S. degree from Yunnan University, Kunming, China, and the Ph.D. degree from Sichuan University, Chengdu, China, all in mathematics/applied mathematics, in 1986, 1989, and 1998, respectively. He was a Postdoctoral Research Fellow at the Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong, from 2001 to 2002.

Professor Cao an Endowed Chair Professor, the Dean of the School of Mathematics and the Director of the Research Center for Complex Systems and Network Sciences at Southeast University (SEU). He is also the Director of the National Center for Applied Mathematics at SEU-Jiangsu of China and the Director of the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence of China. Prof. Cao was a recipient of the National Innovation Award of China, Obada Prize and the Highly Cited Researcher Award in Engineering, Computer Science, and Mathematics by Clarivate Analytics. He is elected as a member of Russian Academy of Sciences, a member of the Academy of Europe, a member of Russian Academy of Engineering, a member of the European Academy of Sciences and Arts, a member of the Lithuanian Academy of Sciences, a fellow of African Academy of Sciences, and a fellow of Pakistan Academy of Sciences.