Professor Tomasz Kajdanowicz completed his master's and doctoral studies with honors at Wrocław University of Science and Technology in 2008 and 2012, respectively. His doctoral dissertation received The Best Polish Ph.D. Dissertation Award in 2012/2013 from the European Association for Artificial Intelligence - Polish Chapter in 2014. In 2020, he obtained his habilitation from the Institute of Computer Science of the Polish Academy of Sciences. He serves as an Associate Professor at the Faculty of Information and Communication Technologies at Wrocław University of Science and Technology. He leads the Department of Artificial Intelligence.

He has been a co-chair and member of the organizing committee for numerous workshops and summer schools in the fields of Data Science, Artificial Intelligence, Machine Learning, and Big Data. He regularly serves as a member of international program committees and as a reviewer for prestigious international journals and scientific conferences in the areas of social networks, machine learning, parallel computing, data and knowledge management, Big Data, and natural language processing.

He is the author of over 150 scientific articles in various fields related to multi-label classification, collective classification, machine and deep learning, social network analysis, collaborative and recommendation systems, representation learning, big data, representation leargning, and LLMs. Additionally, he has initiated and led dozens of research projects in collaboration with commercial companies, including large international corporations, with a total budget of several hundred million PLN. Tomasz holds numerous professional certificates in project management and data science.

He has conducted research at Stanford University, USA; the University of Sydney, Australia; the University of Notre Dame, USA; and the Technical University of Dortmund, Germany. His research interests include machine learning, representation learning, deep neural networks, and large language models as well as applications of AI. His industrial experience spans telecommunications, manufacturing, medical, and financial sectors.

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Professor Grzegorz Krzos acts at the Wrocław University of Economics, where he serves as the Head of the Department of Management and Entrepreneurship. He is a domain expert in business management, entrepreneurship, family businesses, innovative projects, low-emission energy transformation, ICT, AI, circular economy, and has co-implemented over 120 research and development projects co-financed by the EU, NMF, SzMF, HE, and EIC from 2004 to 2024.

As a partner and board member of several technology startups, some of which have been awarded the "Seal of Excellence," he has played a crucial role in their development and success. He is also a co-creator of 11 incubators and industrial and technological parks in Poland.

His collaborative efforts extend to numerous scientific and business centers across Europe, Asia, and North America. Currently, he serves as the Scientific Advisor to the SME Ombudsman.

Grzegorz combines his extensive academic knowledge with practical experience in managing and advising businesses, fostering innovation and development within various industries.

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Sławomir Lasota is the initiator and originator of the AI Cluster, dedicated to promoting and implementing innovative solutions in the industry, with a particular focus on artificial intelligence. The AI Cluster's goal is to create synergy between businesses, scientific institutions, and public administration to support modern AI technologies and economic development. The AI Cluster serves as a collaborative platform where technological innovations, especially in the field of artificial intelligence, meet practical applications, fostering industrial development at various levels. Slawomir invites everyone who wants to be part of this exciting project to collaborate with the AI Cluster.

For more than 28 years, Slawomir has been designing, developing, and implementing cutting-edge information technologies that help companies and institutions succeed. Currently, together with a team of IT, industry, and business experts, he identifies, evaluates, and estimates the future potential of new innovative technologies, business models, and processes to address changing business and economic trends for manufacturing companies in line with the concept of Industry 4.0 and 5.0. Slawomir is a skilled manager with extensive experience in managing extensive IT infrastructure, implementing new technologies, and building systems. He has over 14 years of experience in IT and industrial automation management, having managed ERP and industrial automation system integration projects in automotive companies. He has successfully coordinated the implementation of large projects involving innovative IT solutions and has created and managed businesses. Slawomir is the author of publications in both the trade and scientific press, and is an author and co-author of solutions covered by patent applications.

Crucial Projects:

- 2023 - DPS-EA (Dynamic Production Scheduling based on Evolutionary Algorithm): An innovative tool for planning, scheduling, and optimizing the operation of dynamic production environments to solve dynamic single-criteria NP-hard problems using modern problem structure decomposition techniques. The project involves developing and implementing a tool that combines real data from industrial automation with elements of dynamic production optimization and scheduling, using a hybrid combination of evolutionary algorithms with Machine Learning. Budget: €1.25 million.

- 2022 - PMSA (Production Management Smart Advisor): An innovative tool for intelligent recommendation of changes in production processes to optimize them using cognitive techniques in line with the concept of Industry 5.0. Budget: €0.7 million.

- 2022 - 4FM (4FACTORY Manager): An innovative game simulating the management of real production processes using a gameplay model based on the interaction of the virtual world with the real world, aligned with the Industry 4.0 concept. Budget: €0.7 million.

- 2019-2021 - EU H2020 ENTRANCE project: Participation in the preparation and launch of the ENTRANCE project, aimed at developing and validating a comprehensive user-based toolbox for the risk-based non-intrusive inspection of cross-border freight movements, particularly at the EU Customs Union borders. Budget: €6.9 million.

- 2015 - Project Carewell: Providing suitable IT infrastructure and new technologies regarding medical telemetry while caring for the elderly. Budget: €5.9 million.

- 2015 - Educational Fronter Platform Migration: Coordinating the migration of the educational Fronter platform from the Data Center in Oslo to the Polish Data Centre. Budget: €3.9 million.

- 2012-2014 - Data Center Development: Designing, building, and launching a Data Center from scratch, based on Cisco Unified Computing System server solutions operating in the VMware vSphere 5.5 environment and Microsoft server operational systems, including SCOM and SCCM implementation. The project also involved LAN network reconstruction and VoIP telephony implementation based on Microsoft solutions. Slawomir supervised an interdisciplinary team and developed a business model, service catalogue, maintenance strategy, and service development plan for the Data Center. Budget: €5.1 million.

He holds ITIL Expert in IT Service Management. (1065278, 1067054) and PRINCE2 Foundation (02361090-01-EAVT) certificates. He graduated from Wroclaw University of Economics - Modern Institution Management (postgraduate, 2010), University of Business in Wroclaw - Certified Project Manager (IPMA 4LC, postgraduate, 2008), Management: Communication, Finance, Marketing, Accountancy, Strategical Planning at Wroclaw University of Technology and  Central Connecticut State University New Britain (postgraduate, 2001) and MSc. in IT and Econometrics. with specialty IT in Economics, Analyst and Designer of IT Management Systems. Wroclaw University of Economics (1996).

Professor Michał Przewoźniczek currently serves as an Associate Professor at the Department of Systems and Computer Networks at Wrocław University of Science and Technology (WUST). He obtainde D.Sc. in Computer Science, Artificial Intelligence in 2021 from (WUST), Ph.D. in Computer Science, Artificial Intelligence (with honors), 2012 (WUST) and M.Sc. in Computer Science, 2003 (WUST). In 2019 worked as a researcher at the Department of Computer Science, The University of York, England.

Michał’s research focuses on the application of evolutionary algorithms to practical problems. To achieve this, he investigates linkage learning techniques, multi-population approaches, dynamic management of subpopulations, among other methods. This expertise has been instrumental in solving complex multi-objective industrial problems as part of the SAFIRE project at The University of York. He has also participated in and led several projects, serving as R&D Manager or Principal Investigator, sponsored by The National Center for Research and Development and similar institutions. One of these projects was recognized with an award at The Polish Smart Development Forum. As an inventor and co-owner of a software company, Michał is a co-author of numerous prototype systems implemented in industry both in Poland and abroad.

As Principal Investigator, Michał leads and has led scientific projects he proposed, focusing on fundamental research in Evolutionary Computation. These projects are funded by the Polish National Science Centre under programs such as SONATA, SONATA-BIS, and OPUS.

In 2024, Michał joined the Editorial Board of IEEE Transactions on Evolutionary Computation, the world-leading journal in the field of Evolutionary Computation. He serves as a reviewer for leading evolutionary conferences, including The Genetic and Evolutionary Computation Conference (GECCO), Parallel Problem Solving From Nature (PPSN), and IEEE Congress on Evolutionary Computation (CEC). He also reviews papers for international journals in Evolutionary Computation, such as Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence, and Expert Systems with Applications.

Michał Przewoźniczek was nominated for the Best Paper Award at the GECCO conference in 2022 and 2023, winning the award in 2023 for his significant contribution to the field of Gray- and Black-box optimization.

His research Interests include evolutionary computation, problem decomposition, linkage learning, multi-objective optimization, many-objective optimization, gray-box optimization, hybridization, practical implementations and applications. 

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