Industrial and Manufacturing Engineering Conference | WSEIME2024 |Mechanical Engineering | Top Conference in Industrial Engineering | Conferences in Valencia

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href="https://industrial-engineering.synergiasummits.com/contact">Contact</a> </ul> </div> </div> </div> </div> </nav>  </header>   <section class="wow fadeIn cover-background background-position-top top-space padding-25px-tb" style="background-image: url('https://industrial-engineering.synergiasummits.com/assets/images/about-banner.png')"> <div class="opacity-extra-medium"></div> <div class="container"> <div class="row"> <div class="col-md-12 col-sm-12 col-xs-12 display-table page-title-large"> <div class="display-table-cell vertical-align-middle text-left padding-30px-tb"> <h1 class="alt-font text-white font-weight-600 no-margin-bottom">Plenary Speakers</h1> </div> </div> </div> </div> </section>   <section class="wow fadeIn padding-25px-tb"> <div class="container"> <div class="row border-all border-color-blue padding-15px-tb margin-30px-bottom"> <div class="col-md-3 col-sm-6 col-xs-12 team-block text-left team-style-1 sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <figure> <div class="team-image xs-width-100"> <a href="#"><img src="https://industrial-engineering.synergiasummits.com/storage/speakers/1699600483.png" alt="" data-no-retina=""></a> </div> </figure> </div> <div class="col-md-9 col-sm-6 col-xs-12 text-left sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <div class="font-size-26px font-weight-600 text-extra-dark-gray">Prof. Luiz Moutinho</div> <div class="text-medium font-weight-500 text-dark-gray">University of Suffolk, UK</div> <div class="text-extra-large font-weight-500 text-blue margin-10px-top margin-20px-bottom">Title: <font class="text-light-blue text-italic">Futurama on Industrial and Manufacturing Engineering</font></div> <span class="more"> Professor Luiz Moutinho (BA, MA, PhD, MAE, FCIM) is a Fellow and Visiting Professor of Marketing at the University of Suffolk, Ipswich, England, UK, and at The Marketing School, Portugal and Adjunct Professor of Marketing, Graduate School of Business, Faculty of Business and Economics, University of the South Pacific, Suva, Fiji.<br /> <br /> 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.<br /> <br /> During 2015 - 2017 he was 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. Previously, he got his first Chair in 1989 at the University of Wales College of Cardiff 1989-2006.<br /> <br /> Professor Moutinho completed his PhD at the University of Sheffield in 1982. He has been a Full Professor for 34 years and has held Visiting Professorship positions at numerous universities worldwide. He is the Founding Editor-in-Chief of the Journal of Modelling in Management (JM2) and Co-editor-in-Chief of the Innovative Marketing Journal.<br /> <br /> His main areas of research interest encompass marketing, management and tourism futurecast ,emerging technologies, artificial intelligence, biometrics and neuroscience theory, evolutionary algorithms, human-computer interaction, the use of artificial neural networks in marketing, modelling processes of consumer behaviour, futures research.<br /> <br /> Prof. Moutinho has given keynote speeches, lectures, seminars, talks, etc. in 47 countries worldwide.<br /> <br /> Prof. Moutinho has 39 books published, over 159 articles published in refereed academic journals. He has 16606 academic citations, the h-index of 59 and the i10-index of 161 (Google Scholar, November 9th, 2023). </span> </div> </div> <div class="row border-all border-color-blue padding-15px-tb margin-30px-bottom"> <div class="col-md-3 col-sm-6 col-xs-12 team-block text-left team-style-1 sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <figure> <div class="team-image xs-width-100"> <a href="#"><img src="https://industrial-engineering.synergiasummits.com/storage/speakers/1700551838.png" alt="" data-no-retina=""></a> </div> </figure> </div> <div class="col-md-9 col-sm-6 col-xs-12 text-left sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <div class="font-size-26px font-weight-600 text-extra-dark-gray">Prof. Nita Inderlal Sukdeo</div> <div class="text-medium font-weight-500 text-dark-gray">Univ. of Johannesburg, South Africa</div> <div class="text-extra-large font-weight-500 text-blue margin-10px-top margin-20px-bottom">Title: <font class="text-light-blue text-italic">Women in STEAM, Breaking the glass ceiling</font></div> <span class="more"> Prof Nita Inderlal Sukdeo is currently an Associate Professor in the Department of Quality and Operations Management within the School of Mechanical and Industrial Engineering at the University of Johannesburg, South Africa. She obtained a Masters in Quality, from the Durban University of Technology and a PhD in Engineering Management from the University of Johannesburg. She is currently registered for a second PhD in Quality Engineering. She is an active researcher in the field of total quality management and operations management. Her field of expertise also include advanced manufacturing technologies, Artificial Intelligence in the manufacturing sector, smart factory, Quality 4.0 framework, quantitative analysis, quality management systems, quality auditing and risk assessment. She is a qualified Lead Auditor, proficient in ISO standards and certification. She is chairperson and director of the Society for Operations Management in Africa (SOMA). She is a professional member of the Southern African Society for Quality (SASQ). Empowering and advocating women in Engineering and STEM as the chairperson for Faculty’s Women in Engineering and the Built Environment (WiEBE). </span> </div> </div> <div class="row border-all border-color-blue padding-15px-tb margin-30px-bottom"> <div class="col-md-3 col-sm-6 col-xs-12 team-block text-left team-style-1 sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <figure> <div class="team-image xs-width-100"> <a href="#"><img src="https://industrial-engineering.synergiasummits.com/storage/speakers/1700552177.jpg" alt="" data-no-retina=""></a> </div> </figure> </div> <div class="col-md-9 col-sm-6 col-xs-12 text-left sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <div class="font-size-26px font-weight-600 text-extra-dark-gray">Prof. Michael Greenspan</div> <div class="text-medium font-weight-500 text-dark-gray">Queen’s University, Kingston, Canada</div> <div class="text-extra-large font-weight-500 text-blue margin-10px-top margin-20px-bottom">Title: <font class="text-light-blue text-italic">Deep Learning for Industrial Robot Vision: Challenges and Opportunities</font></div> <span class="more"> Michael Greenspan is a professor in the Department of Electrical and Computer Engineering at Queen’s University, Kingston, Canada. Dr. Greenspan’s research investigates problems of computer vision and robotics, with a focus on the development of machine learning-based pose estimation methods for industrial applications, including manufacturing and mining. Dr. Greenspan has over 150 refereed publications, including five patents, and he has served on the technical and program committees of over 200 international conferences in the fields of computer vision and robotics. He was an Academic Resident at Seiko Epson Corporation, and has served as Visiting Professor at University of Coimbra, Portugal. Greenspan holds membership in the Professional Engineers of Ontario, the IEEE Computer Society, and the IEEE Robotics and Automation Society. He has been the recipient of the Premier’s Research Excellence Award, the Canadian Image Processing and Pattern Recognition Society Young Investigator’s Award, and a number of Best Paper and Favorite Professor Awards. </span> </div> </div> <div class="row border-all border-color-blue padding-15px-tb margin-30px-bottom"> <div class="col-md-3 col-sm-6 col-xs-12 team-block text-left team-style-1 sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <figure> <div class="team-image xs-width-100"> <a href="#"><img src="https://industrial-engineering.synergiasummits.com/storage/speakers/1700560071.jpg" alt="" data-no-retina=""></a> </div> </figure> </div> <div class="col-md-9 col-sm-6 col-xs-12 text-left sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <div class="font-size-26px font-weight-600 text-extra-dark-gray">Prof. Andrew Goldenberg</div> <div class="text-medium font-weight-500 text-dark-gray">University of Toronto, Canada</div> <div class="text-extra-large font-weight-500 text-blue margin-10px-top margin-20px-bottom">Title: <font class="text-light-blue text-italic">Will update soon</font></div> <span class="more"> Dr. Goldenberg is the founder of Engineering Services Inc. (ESI) - www.esit.com, established in 1982. ESI is a high-technology company involved in the development of robotics-based automation and technology. Under his leadership, the company has achieved significant growth and a global leading role in a wide range of industrial sectors. From 2000 to 2001 Dr. Goldenberg was also the President of Virtek Engineering Science Inc. (VESI), a high-technology company formed after the acquisition of part of ESI by Virtek Vision International Ltd., a publicly listed company. Dr. Goldenberg is also President of Anviv Mechatronics Inc. (AMI), which he founded in 2006. Anviv is a high-technology company involved in the development of mechatronics products. In 2021 Dr. Goldenberg has established two companies active in AI-Embedded Robotics: TNL AI-Embedded Robotics Inc. and ESIRAI Inc.<br /> <br /> In May 2015 ESI has been acquired by a Chinese consortium located in Shenzhen, P.R. China. He has been the President of ESI after the acquisition until the Chinese consortium became a public company listed in Hong Kong. Dr. Goldenberg has been the Chief Technology Officer of the public company until May 12, 2019, when he left the public company.<br /> <br /> Dr. Goldenberg is also the founder of the field of Robotics at University of Toronto where he has been from 1982 as a Professor of Mechanical and Industrial Engineering, cross appointed in the Institute of Biomaterials & Biomedical Engineering, and previously cross-appointed in the Electrical and Computer Engineering. He is as of 2011 a Professor Emeritus. Dr. Goldenberg is also an Adjunct Professor at Ryerson University and Guest Professor at Nanjing University of Science and Technology, P.R. China.<br /> <br /> Dr. Goldenberg has supervised to date one of the largest numbers of graduate students in the Faculty of Applied Science and Engineering (48 PhD and 67 MASc). He has an exceptional publication record with over 10500 citations (134 archival journal papers, 306 papers in major conferences, 15 book chapters and 95 patents granted and applied).<br /> <br /> As of May 2019, he has returned to the University on a part-time basis to work on graduate research in the use of Artificial Intelligence in Advanced Robotics, focusing on Personal Service Robots. This is the domain of research of RAL ‘2019.<br /> <br /> From 1975 to 1981 Dr. Goldenberg has been an employee of SPAR Aerospace Ltd., of Toronto, working on the development of the first Space Shuttle Remote Manipulator System (Canadarm).<br /> <br /> Dr. Goldenberg is a Life Fellow of the Institute of Electrical and Electronics Engineers, Inc. (IEEE), a Fellow of the American Society of Mechanical Engineers (ASME), a Fellow of the Engineering Institute of Canada (EIC), a Fellow of the Canadian Academy of Engineering (CAE), a Fellow of The American Association for the Advancement of Science (AAAS), a Member of the Professional Engineers of Ontario (PEng), and a Designated Consulting Engineer in Ontario.<br /> <br /> He is the recipient of the 2010 PEO Engineering Medal for Entrepreneurship, the 2013 EIC Sir John Kennedy Medal for Outstanding Merit in the Engineering Profession, the 2016 IEEE A.G.L. McNaughton Gold Medal for Exemplary Contributions to the Engineering Profession, and the 2018 Ph.D. (Honorary) from the Technion, Israel Institute of Technology.<br /> <br /> Dr. Goldenberg is a former editor of the archival international journal IEEE Transactions on Robotics and Automation, and a member of the editorial boards of Robotica, Robotics in Japan, Journal of Robotics, Robotics Journal, Scientific World Journal, Industrial Engineering and Management Journal, SOJ Robotics and Automation and International Journal of Automation and Computing.<br /> <br /> Dr. Goldenberg obtained his PhD in 1976 at the University of Toronto, and his M.A.Sc. and B.Sc. degrees at the Technion, Israel Institute of Technology, in 1969 and 1972, respectively. Dr. Goldenberg was born in Bucharest, Romania. </span> </div> </div> <div class="row border-all border-color-blue padding-15px-tb margin-30px-bottom"> <div class="col-md-3 col-sm-6 col-xs-12 team-block text-left team-style-1 sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <figure> <div class="team-image xs-width-100"> <a href="#"><img src="https://industrial-engineering.synergiasummits.com/storage/speakers/1700560504.png" alt="" data-no-retina=""></a> </div> </figure> </div> <div class="col-md-9 col-sm-6 col-xs-12 text-left sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <div class="font-size-26px font-weight-600 text-extra-dark-gray">Prof. Chih-Hsuan Wang</div> <div class="text-medium font-weight-500 text-dark-gray">National Yang Ming Chiao Tung University, Taiwan</div> <div class="text-extra-large font-weight-500 text-blue margin-10px-top margin-20px-bottom">Title: <font class="text-light-blue text-italic">Supply Chain forecasting and analytics for semiconductor industries</font></div> <span class="more"> Dr. Chih-Hsuan (Jason) Wang is currently a full professor at the Department of Industrial Engineering & Management, National Yang Ming Chiao Tung University (NYCU). Prior to joining NYCU, he has been a faculty member at the Department of Marketing, National Chung Hsing University (NCHU). Prof. Wang has been selected as the Top 2% worldwide scientists by Stanford University since 2019 in Operations Research, Artificial Intelligence, and Engineering. He also published his research work in Journal of Forecasting, Computers & Industrial Engineering, International Journal of Production Research, Journal of Intelligent Manufacturing, Journal of Engineering Design, Advanced Engineering Informatics, Applied Soft Computing, Soft Computing, Decision Support Systems, Computer Standards & Interface, Computers in Human Behavior, International Journal of Systems Science: Operations & Logistics, Mathematical Problems in Engineering, IIE Transactions, Journal of Industrial Engineering, and Expert Systems with Applications. His research interests include technology management, operations management, industrial informatics, and business analytics. Since 2015, he has been a professional lecturer for Taiwan Ministry of Economic Affairs and representative large-scale companies (focusing on big data analytics and artificial intelligence), such as Chung Hwa Telecom, Formosa Plastics, NanYa Memory, and Winbond Electronics. He also served as an area editor for Mathematical Problems in Engineering, Applied Sciences, and International Journal of Industrial Engineering: Theory, Applications, and Practice since 2020. </span> </div> </div> <div class="row border-all border-color-blue padding-15px-tb margin-30px-bottom"> <div class="col-md-3 col-sm-6 col-xs-12 team-block text-left team-style-1 sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <figure> <div class="team-image xs-width-100"> <a href="#"><img src="https://industrial-engineering.synergiasummits.com/storage/speakers/1700728483.jpg" alt="" data-no-retina=""></a> </div> </figure> </div> <div class="col-md-9 col-sm-6 col-xs-12 text-left sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <div class="font-size-26px font-weight-600 text-extra-dark-gray">Prof. Ignacio E. Grossmann</div> <div class="text-medium font-weight-500 text-dark-gray">Carnegie Mellon University, USA</div> <div class="text-extra-large font-weight-500 text-blue margin-10px-top margin-20px-bottom">Title: <font class="text-light-blue text-italic">Digital Supply Chains: the Role of Advanced Optimization Techniques</font></div> <span class="more"> Ignacio E. Grossmann is the R. R. Dean University Professor in the Department of Chemical Engineering, and former department head at Carnegie Mellon University. He obtained his B.S. degree at the Universidad Iberoamericana, MexicoCity, in 1974, and his M.S. and Ph.D. at Imperial College in 1975 and 1977, respectively. He is a member and former director of the Center for Advanced Process Decision-making, an industrial consortium that involves about 20 petroleum, chemical, engineering, and software companies. He is a member of the National Academy of Engineering, and Fellow of AIChE and INFORMS. He has received the INFORMS Computing Society Prize and the following AIChE awards: Computing in Chemical Engineering, William H. Walker for Excellence in Publications, Warren Lewis for Excellence in Education, Research Excellence in Sustainable Engineering, Founders Award for Outstanding Contributions to the Field of Chemical Engineering. In 2015 he was the first recipient of the Sargent Medal by the IChemE. He has honorary doctorates from Abo Akademi in Finland, University of Maribor in Slovenia, Technical University of Dortmund in Germany, University of Cantabria in Spain, Russian Kazan National Research Technological University, Universidad Nacional del Litoral, Argentina, Universidad de Alicante in Spain, and RWTH Aachen, Germany. He is a 2019 top cited scientist in Computer Science and Electronics: 53 Worldwide, 38 National. He has authored more than 700 papers, the recent textbook Advanced Optimization for Process Systems Engineering, and the textbook Systematic Methods of Chemical Process Design, which he co-authored with Larry Biegler and Art Westerberg. He has also organized the virtual library on process systems engineering. Grossmann has graduated 68 Ph.D. and 34 M.S. students. His main research interests are in the areas of discrete continuous optimization, optimal synthesis and planning of chemical processes and energy systems, and supply chain optmization. </span> </div> </div> <div class="row border-all border-color-blue padding-15px-tb margin-30px-bottom"> <div class="col-md-3 col-sm-6 col-xs-12 team-block text-left team-style-1 sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <figure> <div class="team-image xs-width-100"> <a href="#"><img src="https://industrial-engineering.synergiasummits.com/storage/speakers/1701088172.png" alt="" data-no-retina=""></a> </div> </figure> </div> <div class="col-md-9 col-sm-6 col-xs-12 text-left sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <div class="font-size-26px font-weight-600 text-extra-dark-gray">Dr. Dongsheng Li</div> <div class="text-medium font-weight-500 text-dark-gray">Founder: Advanced Manufacturing LLC and AM Energization Corp</div> <div class="text-extra-large font-weight-500 text-blue margin-10px-top margin-20px-bottom">Title: <font class="text-light-blue text-italic">Application of Additive Manufacturing and Friction Stir Processing in High Temperature Alloy Development</font></div> <span class="more"> Dongsheng Li is the founder of Advanced Manufacturing LLC and AM Energization Corp, focusing on providing fabrication and consulting service in additive manufacturing and friction stir processing, respectively. In the research sector, AMLLC is a recipient of millions of dollars in funding support from DOE, DOD, and NASA. Dr. Li was a staff engineer at Pratt & Whitney, working on advanced alloys development and process modeling. He also coordinated and harvested the R&D works in Excellence Centers funded by P&W; led and coordinated research activities among OEMs in multiple multimillion Air Force programs as Technical POC. Before joining P&W, he worked at Pacific Northwest National Laboratory as a senior staff scientist and as a research engineer in Georgia Institute of Technology. His research areas include additive manufacturing, friction stir processing, ICME, materials design, process optimization, statistical upscaling, multiscale modeling, and microstructure reconstruction. He received a PhD in Mechanical Engineering and M.S. in Computer Science from Florida State University in 2002. Prior to that, he received B.E. in Chemical Engineering and M.S in Materials Science and Engineering. So far, he authored and co-authored 70+ peer reviewed journal publications. </span> </div> </div> <div class="row border-all border-color-blue padding-15px-tb margin-30px-bottom"> <div class="col-md-3 col-sm-6 col-xs-12 team-block text-left team-style-1 sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <figure> <div class="team-image xs-width-100"> <a href="#"><img src="https://industrial-engineering.synergiasummits.com/storage/speakers/1704793937.jpg" alt="" data-no-retina=""></a> </div> </figure> </div> <div class="col-md-9 col-sm-6 col-xs-12 text-left sm-margin-two-bottom xs-margin-20px-bottom wow fadeInRight"> <div class="font-size-26px font-weight-600 text-extra-dark-gray">Prof. Jana Sue Bochert</div> <div class="text-medium font-weight-500 text-dark-gray">Technical University of Ingolstadt, Germany</div> <div class="text-extra-large font-weight-500 text-blue margin-10px-top margin-20px-bottom">Title: <font class="text-light-blue text-italic">Will be update soon</font></div> <span class="more"> Jana Sue Bochert has been a professor of structural mechanics, construction informatics and fundamentals of civil engineering at the TH Ingolstadt since 2021 and she has been the dean of the faculty of Sustainable Infrastructure since 2022. She studied civil engineering at the TU Dresden and did her doctorate there. She received her doctorate in 2012 at the Institute of Statics and Dynamics of Structures. She then worked in various commercial companies, including as a research engineer and expert in structural dynamics. From 2016 she held managerial positions, including Head of Structural Design and Structural Dynamics. 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