Plenary Speakers

Prof. Vincent G. Duffy
Purdue University, USA

Title: TBA
Abstract: TBA

Biodata: TBA

Prof. Richard F. Hartl
University of Vienna, Austria

Title: TBA
Abstract: TBA

Biodata: TBA

Prof. Cristian Mahulea
University of Zaragoza, Spain

Title: TBA
Abstract: TBA

Biodata: Cristian Mahulea received his B.S. and M.Sc. degrees in control engineering from the Technical University of Iasi, Romania, in 2001 and 2002, respectively, and his Ph.D. in systems engineering from the University of Zaragoza, Spain, in 2007. Currently, he is a Full Professor at the University of Zaragoza, where he chaired the Department of Computer Science and Systems Engineering from 2020 to 2024. He has also served as a visiting professor at the University of Cagliari, Italy. His research interests include discrete event systems, hybrid systems, mobile robotics, and healthcare systems. He has been a Visiting Researcher at the University of Sheffield (UK), Boston University (USA), University of Cagliari (Italy), and ENS Paris-Saclay (France). Cristian has served as an Associate Editor for IEEE Transactions on Automation Science and Engineering (TASE) and IEEE Control Systems Letters (L-CSS). He is currently an Associate Editor for IEEE Transactions on Automatic Control (TAC), the International Journal of Robotics Research (IJRR), Discrete Event Dynamic Systems: Theory and Applications (JDES), and IEEE Robotics and Automation Letters (RA-L). Additionally, he was the General Chair of ETFA 2019.

Prof. Maurizio Faccio
University of Padua, Italy

Title: Flexible and scalable warehousing through mobile robots technology
Abstract: Scalability, the ability to increase system capacity (in terms of the number of totes handled per unit of time and the total number of totes stored), and flexibility, the ability to perform simple, cost-effective, and rapid layout modifications, such as changing the number and position of picking bays or rack configurations are key drivers for the logistics of the future. For these reasons mobile robots are becomming a useful technology to integrate into storage system, contibuting for a rapid evolution of intralogistics where transport, retrieval, and picking tasks are increasingly interconnected. This study analyzes the operational performance of innovative mobile robots systems applied to warehousing. Multi-Tote Storage and Retrieval (MTSR) systems and AMRSs are the main mobile robots technologies investigated under different configurations. Pure MTSR systems, hybrid MTSR–AMR configurations, and hybrid AS/RS–AMR systems are considered in the study. The objective is to identify, for each configuration, the key parameters, performance indicators, and the conditions under which each approach achieves maximum efficiency. Mathematical frameworks are developed by combining analytical modeling with simulation techniques. The MTSR model integrates horizontal and vertical movements within a single robotic unit, whereas the hybrid MTSR–AMR configuration allocates these tasks to specialized MTSR and AMR subsystems. Similarly, in hybrid AS/RS–AMR systems, tasks are distributed between AS/RS units and AMRs. All models consider physical travel times, handling operations, and queueing effects to represent aisle and front-aisle access delays. A comprehensive experimental analysis investigates the impact of layout geometry, rack depth, fleet size, order size, routing strategy, and tote location policy on overall system performance. Preliminary results are presented, together with a case study illustrating the practical implications of the research.

Biodata: Maurizio Faccio is currently Full Professor of Industrial Systems and Logistics at the School of Engineering of the University of Padua (Italy). After graduating in Engineering Management with a score of 110/110 cum laude at the University of Padua, he got his Ph.D. in Industrial Systems from this university, discussing a thesis titled 'Assembly in the Modern Industrial Production'. He teaches and carries out research in industrial plant design and management, development of advanced manufacturing technologies, design of the assembly system, plant logistics, industrial logistics, warehouse design and management, and operations management. He has published around 180 research papers, over 150 indexed in Scopus, in international journals and conference proceedings, with a Hirsch index = 35
(https://scholar.google.it/citations?user=zCoo_HAAAAAJ&hl=it).
He is part of the World's 2% Top Scientists by Stanford University 2024
https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7
Moreover, he serves at present as an Associate Editor in the Journal of Intelligent Manufacturing, Springer, Impact Factor 8.33, ranked 15th in SJR-Industrial and Manufacturing Engineering in 2022. He has further participated as a member of different International Journal Editorial Boards, including but not limited to the following: Assembly Automation, Emerald; Applied Science, MDPI; Universal Journal of Mechanical Engineering, Horizon Research Publishing. He was awarded the Highly Commended Paper Award in 2013 by the international journal 'Assembly Automation for the paper 'Fully Flexible Assembly System (F-FAS): a New Concept in Flexible Automation.' Besides this, he also got the Best Commended Paper Award at the international conference IFAC MIMS 2022 Conference on the paper entitled, 'Influence of Task Time Variations in Adopting Walking Worker Assembly Systems: a design approach.' Top cited 2023 paper, Journal of Intelligent Manufacturing, with the paper, Human factors in cobot era: a review of modern production systems features. He was also awarded, in 2019, the Best Financed Research Project award by the Veneto Region for the project 'COLOG' - 'Methods and Tools for the Integration of Human Resources and Collaborative Robotic Systems in Manufacturing Production Management'. In 2020 he developed several parts of the project AD-HOC - Augmentation and Development of Human Operations by Cobots for improving manual work in the manufacturing companies. Member of the International Technical Committee TC 5.1. Manufacturing Plant Control (IFAC) and Scientific Vice-chair "Plant Operations Management" thematic chair. He carried out research activity in national and international research programs and participated in the European Project MAIA, under the call: H2020-MSCA-RISE, Models and Methods for an Active Ageing Workforce: an International Academy (https://maiaproject.eu/).
He leads or is part of numerous research collaborations in the research area of Industrial Systems and Logistics, with Italian and European companies. In particular, he coordinated approximately 60 research projects on innovation and technological transfer in the Industrial Systems and Logistics sector. These projects involved institutions with high economic impact - business volume - and social impact - job positions. The added value for the beneficiaries has often been high, with technology transfer and innovations affecting production, logistics, and organizational processes. This has partly enabled the development of prototypes and, on the other hand, the production of various scientific publications in international journals and conferences. For Didactics Activities look at
https://en.didattica.unipd.it/off/docente/04D34D85516C525419BAF82BD42ECA90
For Scientific Publication look at
https://scholar.google.it/citations?user=zCoo_HAAAAAJ&hl=it

Prof. Luiz Moutinho
University of Suffolk, UK

Title: TBA
Abstract: TBA

Biodata: Professor Luiz Moutinho (BA, MA, PhD, MAE, FCIM) is the Visiting Professor of Marketing at Faculty of Arts, Business and Applied Social Science, University of Suffolk, School of Technology, Business and Arts, Ipswich, England, UK, and IPAM, Marketing Business School.
In 2020 he was elected as the member of The Academia Europaea. In 2017 he received a degree of Prof. Honoris Causa from the Univ. of Tourism and Management Skopje, North Macedonia. In 2025 was rated among the top 85 in 100 best scientists in the United Kingdom by Business and Management by Research.com and a Top 5% Professor in the areas of Marketing by ScholarGPS.
During 2015 - 2017 he was a professor of BioMarketing and Futures Research at the DCU Business School, Dublin City University, Ireland. This was the first Chair in the world on both domains - BioMarketing and Futures Research. Previously, and for 20 years, he had been appointed as the Foundation Chair of Marketing at the Adam Smith Business School, University of Glasgow, Scotland.
He completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 36 years and held posts at Cardiff Business School, University of Wales College of Cardiff, Cleveland State University, Ohio, USA, Northern Arizona University, USA and California State University, USA. He has held Visiting Professorship positions at numerous universities in China, Lithuania, Austria, New Zealand, Denmark, Slovenia, Portugal, Hungary, Taiwan, Brazil, Colombia, Fiji and Cyprus.
Between 1987 and 1989 he was the director of the Doctoral Programmes at the Confederation of Scottish Business Schools and at the Cardiff Business School between 1993 and 1996. He was director of the Doctoral Programme in Management at the University of Glasgow between 1996 and 2004.
Professor Moutinho is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and Co-editor-in-Chief of the Innovative Marketing Journal. He has another 4 associate editorships as well as being in the editorial boards of another 46 international academic journals.
His areas of research interest encompass marketing and management futurecast, artificial intelligence, biometrics and neuroscience in marketing, futures research algorithmic self, EmoWear - a wearable tech device that detects human emotions, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling processes of consumer behaviour and tourism futurecast.
He has developed a number of conceptual models over the years in areas such as tourism destination decision processes, automated banking, supermarket patronage, among other areas. The testing of these research models has been based on the application of many different statistical, computer and mathematical modelling techniques ranging from multidimensional scaling, multinomial logit generalised linear models (GLMs) and linear structural relations to neural networks, ordered probit, simulated annealing, tabu search, genetic algorithms, memetic algorithms and fuzzy logic.
Prof. Moutinho has given keynote speeches, lectures, seminars, talks, etc. in 63 countries worldwide.
Prof. Moutinho has 41 books published, over 162 articles published in refereed academic journals.