Costin Badica

University of Craiova, Romania
DBLP: https://dblp.org/pid/54/2323.html
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Title

Generalized Similarity Measures for Boolean Models: Definitions and Properties

Bio

Costin Bădică is Professor of Computer Science at the Department of Computers and Information Technology, University of Craiova, Romania. He is Director of the Doctoral School “Constantin Belea”, Co-chair of Technical Committee on Computational Collective Intelligence, IEEE SMC Society and Associated Member of the Romanian Academy of Technical Sciences since 2024. He is also the co-initiator of the Intelligent Distributed Computing (IDC) series of conferences that were held yearly since 2007.

His research interests are in the areas of Artificial Intelligence, Multi-Agent Systems, Distributed Systems and Software Engineering. He has published more than 200 papers in journals, books and conference proceedings. He has participated in more than 20 research projects (Romanian, Eureka, FP7, KA+ Erasmus, bilateral Greek-Romania, Poland-Romania) on various topics: e-business, information extraction, Semantic Web agents, disaster management, electric vehicles, job market.

He is member of the editorial board of many international journals (Computer Science and Information Systems ComSIS / ISSN 1820-0214, System Theory, Control and Computing Journal / ISSN 2810–4099, Cybernetics and Information Technologies CIT / eISSN1314-4081, Simulation Modelling Practice and Theory SIMPAT / ISSN 1569-190X, and Vietnam Journal of Computer Science / ISSN 2196-8888. He has delivered many keynotes at international conferences and seminars in Romania, UK, France, Poland, South Korea, Morocco, Ukraine, Greece, Spain, Germany, India, South Africa, and Italy.

Yeong-Tae Song

Towson University, Maryland, United States

Bio

Dr. Yeong-Tae Song is currently a full professor at Towson University in the department of computer and information sciences. He has earned his master’s and Ph.D. degrees in computer science in 1993 and 1999, respectively, from the University of Texas at Dallas. Prior to joining academia, he has worked as a software engineer and ATM software test engineer in industry for more than 8 years in Seoul, Korea and Dallas, Texas.

He has been working on various embedded software for network equipment including ATM switches. After joining academia, he has been working on a telemedicine project with NASA and the medical school in the University of Arkansas at Little Rock. During the tenure at Towson University, he has been PIs for various projects from the state of Maryland and local industries, including EHR/PHR, clinical sensors, smart learning, Voice over IP, and so on. He has been a frequent speaker for conferences and seminars. He has been a program chair and a conference chair for various conferences, including IEEE. He also serves as editor of a few journals. He has published about 100 papers in conferences and journals.

Krystian Wojtkiewicz

Department of Information Systems
Wroclaw University of Science and Technology.

Title

Collective Intelligence for Urban Air Quality: Leveraging Mobile Platforms and Citizen-Generated Data

Bio

Dr. Krystian Wojtkiewicz is an Assistant Professor at Wrocław University of Science and Technology and is the Head of the Research Laboratory in the Department of Applied Informatics in Poland. He obtained his Ph.D. in Control and Robotics from Opole University of Technology in 2019, where his doctoral research centered on the “Unified Process Metamodel.”

As a researcher specializing in applied informatics, Dr. Wojtkiewicz emphasizes practical and interdisciplinary problem-solving approaches. Since he joined WUST, he has been at the leading edge of applied informatics research. He has authored over 30 scholarly papers and multiple book editions and regularly reviews submissions for prominent conferences and journals. With extensive experience leading large-scale research initiatives, he has successfully managed interdisciplinary teams and complex projects in applied informatics.

Dr. Wojtkiewicz deeply engages in several research areas, including databases, knowledge systems, computational linguistics, and semantic networks. His work also delves into possible worlds theory and the behavioral aspects of knowledge. In addition, he investigates design patterns and innovative database applications alongside elements of collective intelligence such as modeling, prediction, and assessment.