Accelerating sustainable manufacturing with AI

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  • Date
    5 July 2023
    Timeframe
    09:30 - 13:00 CEST Geneva
    Duration
    All day
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    As we strive to achieve the United Nations Sustainable Development Goals (SDGs), it is crucial to leverage cutting-edge technologies in the manufacturing industry. The Day 0 manufacuring workshop, will focus on the application of artificial intelligence (AI) in sustainable manufacturing. This workshop is designed to complement the AI for Good manufacturing webinar sub-series, diving deeper into the practical implementation of AI techniques in manufacturing processes.

     

    During this interactive session, experts from various sectors will discuss the potential of AI technologies in enhancing product lifecycle management, smart factories, and intelligent supply chain management. Key topics to be covered include AI-driven modeling and simulation, digital twins, blockchain, 5G, and edge computing. Participants will gain insights into real-world case studies demonstrating AI’s impact on manufacturing sustainability, efficiency, and competitiveness.

     

    The workshop will also explore the challenges and ethical considerations of AI adoption in manufacturing, such as data privacy, workforce displacement, and responsible resource management. Attendees will have the opportunity to engage in group discussions and brainstorm innovative solutions to address these concerns.

     

    Join us to contribute to the conversation on how AI can be harnessed for good in the manufacturing domain, fostering sustainable development and driving the industry towards a more efficient, resilient, and eco-friendly future.

  • Professor and Chair of Sustainable Manufacturing
    ,
    KTH Royal Institute of Technology
    Lihui Wang is a Professor and Chair of Sustainable Manufacturing at KTH, Sweden. He is also the Director of Centre of Excellence in Production Research (XPRES) - one of the five national strategic research centres at KTH. He has served as the President (2020-2021) of North American Manufacturing Research Institution (NAMRI) of Society of Manufacturing Engineers (SME), and the Chairman (2018-2020) of Swedish Production Academy. In 2020, he was elected one of the 20 Most Influential Professors in Smart Manufacturing by Society of Manufacturing Engineers. He received his PhD and MSc from Kobe University (Japan) in 1993 and 1990, respectively, and BSc in China in 1982. He was an Assistant Professor of Kobe University and Toyohashi University of Technology (Japan) prior to joining National Research Council of Canada (NRC) in 1998, where he was a Senior Research Scientist before moving to Sweden in 2008. His research interests are presently focused on real-time monitoring and control, human-robot collaboration, brain robotics, digital twin, cyber-physical and sustainable production systems. His research work has won one Best Poster Award in Switzerland (2003), four Best Paper Awards in Germany (2002), USA (2016), Serbia (2020) and Sweden (2020), and two Outstanding Paper Awards in Mexico (2008) and USA (2016). In 2021, he received the Best Paper Award of Journal of Manufacturing Systems. He is also an eight-time winner of NRC Institute Awards on Excellence and Leadership in R&D, Multidisciplinary Collaborative Research, Global Reach, and Outstanding People. Professor Wang has published 10 books, 15 conference proceedings and 32 journal special issues. He has authored or co-authored in excess of 600 scientific articles in archival journals, books, and peer-reviewed conference proceedings in the above research areas. In addition to the research work, he is actively engaged in various committee and community activities. He was the Conference Chair of FAIM 2004 and CIRP CMS 2018, a member of Grant Selection Committee (GSC-20 for Industrial Engineering) of Natural Sciences and Engineering Research Council of Canada (2004-2007), the Chair of the Scientific Committee of NAMRI/SME during 2016-2018, and a member of Technical Committee 282 (Machinery Safety) of Swedish Standards Institute (2014-2017). He is the Editor-in-Chief of International Journal of Manufacturing Research, Editor-in-Chief of Journal of Manufacturing Systems, Editor-in-Chief of Robotics and Computer-Integrated Manufacturing, Editor of Journal of Intelligent Manufacturing (2007-2019), Associate Editor of International Journal of Production Research, and an Editorial Board Member of other 17 international journals. He is also a Fellow of The Canadian Academy of Engineering (CAE), a Fellow of The International Academy for Production Engineering (CIRP), a Fellow of SME, a Fellow of ASME, and a registered Professional Engineer in Canada.
    Junior Professional Officer
    ,
    International Telecommunication Union (ITU)
    Jin Cui is a Junior Professional Officer at the International Telecommunication Union (ITU), focusing on research on emerging technologies, especially Artificial Intelligence (AI). He has led work on the development and analysis of the 2022 UN AI Activities compilation. He co-created the AI for Manufacturing Discovery Channel on the AI for Good platform. He is engaged with the CEB-HLCP Inter-Agency Working Group on Artificial Intelligence (IAWG-AI) and AI for Good. He is also an Assistant Professor at Beihang University (China).   Jin Cui received his Ph.D. degree from Beihang University (China) in 2019 and his B.Eng. degree from Taiyuan University of Technology (China) in 2013, respectively. His research interests include Cloud Manufacturing, Digital Twin for Electromechanical Systems, and Prognostic and Health Management. He has authored or co-authored more than 30 scientific articles in scholarly journals and conference proceedings in the above research areas.   He is a member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the American Society of Mechanical Engineers (ASME), and a member of the Society for Modeling and Simulation International (SCS).
    Research Professor
    ,
    Zhejiang University
    Baicun Wang is currently a Research Professor and the Assistant Dean of School of Mechanical Engineering, Zhejiang University, China. Dr. Wang's research interests focus on research, innovation, and applications of human-centric new-generation intelligent manufacturing based on human-cyber-physical systems (HCPS), which include: (1) HCPS and human-robot collaboration, (2) Human-centric Smart Manufacturing, and (3) Human digital twin. Dr. Wang has secured over 10 research grants to date, with a total of more than ¥ 5 million. He has authored or co-authored in excess of 60 scientific articles in journals, books, and peer-reviewed conference proceedings. He served as the Guest Editor for <em>Journal of Manufacturing Systems</em>, <em>Chinese Journal of Mechanical Engineering</em>, MDPI journals, and reviewer for over 20 international scientific journals, including <em>Robotics and Computer-Integrated Manufacturing</em>, <em>Journal of Manufacturing Systems</em>, <em>Nano Energy</em>, and <em>Applied Energy</em>. He is also a Senior Member of <em>Chinese Mechanical Engineering Society (CMES)</em>, a Senior Member of <em>Chinese Association for Artificial Intelligence (CAAI)</em>.
    Senior Economist in the Research Department
    ,
    International Labour Organisation (ILO)
    ​Irmgard Nübler is a senior economist in the Research Department of the International Labour Organisation in Geneva. Her current research program is focusing on structural transformation, technological change, and the impact on jobs, skills and the Future of Work, in both developing and developed countries. She manages research projects, undertakes technical work and provides policy advice to ILO constituents in the areas of productive transformation, industrial, education, training policies, and on developing social capabilities for productive transformation. In previous capacities in the ILO she worked in the areas of skills development, training systems, apprenticeship, and informal economy. Before joining the ILO, she held a position as Professor of Economics at the Free University of Berlin for 13 years, teaching development economics and international trade. She conducted research at the Massachusetts Institute of Technology in Boston, the Institute for Development Studies at the University of Nairobi and the International Institute for Labour Studies, ILO, Geneva, and worked as a consultant for various national and international development agencies. She received her PhD in Economics at the Free University of Berlin. She has published widely in the areas of economic policy, globalization, technology, education, training, informal economy and human development. She is the co-editor of the book  <em>Transforming economies: Making industrial policies work for growth, jobs and development</em><em><strong>  </strong></em>published , and she is author of the forthcoming book <em>Capabilities for productive transformation: Shaping the Future of Work</em>
    Vice-President
    ,
    Tata Consultancy Services
    <span data-contrast="none">Vice-President, Emerging Tech/Sustainability GTM, Tata Consultancy Services; Technology business Leader, ESG, Mentor, Diversity champion, Mental health advocate.</span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span> <span data-contrast="auto">Malur Narayan is a proven technology business leader with over two decades of experience in technology industry having worked in five continents, and presently leads the Sustainability GTM for Tata Consultancy Services (TCS) across North America. He brings an effective combination of corporate & entrepreneurial experience - having held a broad range of senior management roles at Nortel and Tata covering product engineering, sales, business development, product management. </span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span> <span data-contrast="auto">As a co-founder and advisor to a few tech startups, Malur excels in helping companies in building their technology, creating access to b2b markets & segments, along with a strong ability to connect at the C-Level, and to develop long-term business partnerships. </span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span> <span data-contrast="auto">As co-founder of STRIDES.ai, he has been instrumental in defining its business & product strategy. </span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span> <span data-contrast="auto">Influenced by strong women throughout his life and being an immigrant minority, he understands deeply the importance of leadership diversity in the workplace as well as the need for sustainable business practices. </span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span> <span data-contrast="auto">Malur holds a degree in Computer Engineering, a Master’s in Computer Science from Western University (Canada), an MBA from Telfer School of Management (Canada), and an Advanced management program (through Harvard). Malur pioneered self-managed teams in software development in the early 90s. His research in Reverse Engineering, Inverse resolution & Induction led to the development of Adaptive learning algorithms in Machine Learning. </span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span> <span data-contrast="auto">He has been speaker on international business for Executive MBA programs at Cornell University, Imperial College, London and Queens University in Canada. </span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span> <span data-contrast="auto">He is known for his positive attitude, sense of humor, and is immensely passionate about trail hiking, creating music, gardening and sports. He is actively involved in charitable activities for mental health awareness. </span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span> <span data-contrast="auto">Malur is based in Austin, Texas.</span><span data-ccp-props="{"201341983":0,"335559738":120,"335559739":0,"335559740":240}"> </span>
    Professor
    ,
    Beihang University
    Dr. Lei Ren is a professor with the School of Automation and the School of Software, Beihang University. He is the first recipient of the National Science Fund for Distinguished Young Scholars in the field of Industrial Internet in China. He is one of the core contributors to the first theoretical and technical system, the first prototype system and the first national standard in the field of Industrial Cloud Manufacturing. He has presided over more than 20 national projects such as the National Key Research and Development Program, and Major Research Program of National Natural Science Foundation of China. He has chaired or participated in more than 10 international/national/industry standards.   He has published more than 100 papers in IEEE journals and other journals or conferences, and his core technology achievements have been applied to several large-scale Industrial Internet platforms and large enterprises, which have won significant economic and social benefits. He has been the chair of dozens of international and domestic conferences or forums such as IEEE. He is a member of the expert committees or professional committees of more than 10 domestic and international academic organizations, such as IEEE, CCF, CAAI, CAA, CSF, etc. He is also a council member of the China Simulation Society, the deputy director of the Special Committee on Intelligent Things of the China Simulation Society and the deputy director of the Special Committee on Cloud Control and Decision Making of the China Accusation Society. He is a member of the editorial board of top international journals such as IEEE TNNLS
    Associate Professor
    ,
    Beihang University
    Yuanjun Laili is an Associate Professor of the School of Automation Science and Electrical Engineering, Beihang University. She is a member of SCS (The Society For Modeling and Simulation International), and IEEE Robotics and Automation Society. She is also an Associate Editor of “International Journal of Modeling, Simulation, and Scientific Computing”. She has won the “Young Talent Lift Project” supported by China Association for Science and Technology and the “Young Simulation Scientist Award” from SCS. Her main research interests are in the areas of intelligent optimization, modeling and simulation of manufacturing systems.
    Senior Advisor for Digital Transformation and AI
    ,
    United Nations Industrial Development Organization (UNIDO)
    Ashraf Abushady is a highly accomplished professional with a strong background in digital transformation and artificial intelligence. As a Diplom Ingenieur (Dipl. Ing.), he serves as the Senior Advisor for Digital Transformation and AI at the Directorate of Technical Cooperation and Sustainable Industrial Development within the United Nations Industrial Development Organization (UNIDO).   Ashraf holds a Bachelor of Science in Engineering from the prestigious Egyptian Marine Academy, where he gained a solid foundation in his field. Building upon his expertise, he pursued a Masters of Science in Engineering from the Vienna Technical University, further enhancing his knowledge and skills.   With an impressive career spanning over 25 years, Ashraf has been a dedicated member of the United Nations system organizations since 1998. Throughout his professional journey, he has held various positions that revolve around technology and communications, constantly contributing to the advancement of these domains. Currently, as a Senior Advisor in the Division of Digital Transformation and AI Strategies, he plays a pivotal role in shaping and implementing innovative solutions to foster sustainable industrial development.   Originally from Alexandria, Egypt, Ashraf Abushady is recognized for his unwavering commitment to leveraging technology for the betterment of society. His expertise and leadership in digital transformation and AI have proven instrumental in driving impactful change within the United Nations and beyond.
    Senior researcher
    ,
    Technische Universität Wien
    Thomas Sobottka, Dr. techn. (equivalent to Phd) is a senior researcher at Fraunhofer Austria Research GmbH, unit Production and Logistics Management, as well as the TU Wien, Institute of Management Science, since 2011. In his current research, he supervises projects for the simulation-based energy-aware optimization of production processes, production planning and control in short to long-term planning horizons and digital-twin applications in production planning and control. He is the lead for the research topic Digital Factory at Fraunhofer Austria, aiming to develop solutions for reactive self-optimizing planning and control for production, based on simulation-based optimization, IOT/sensor data and AI methods.   He oversees applied research projects with industry partners around production optimization as well as factory planning and development, often involving the development of innovative planning tools, data processing for decision support and simulation-based optimization.
    Senior Research Scientist
    ,
    Idiap Research Institute
    <span class="TextRun SCXW18672495 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW18672495 BCX0">Dr Sylvain </span><span class="NormalTextRun SpellingErrorV2Themed SCXW18672495 BCX0">Calinon</span><span class="NormalTextRun SCXW18672495 BCX0"> is a Senior Research Scientist at the </span><span class="NormalTextRun SpellingErrorV2Themed SCXW18672495 BCX0">Idiap</span><span class="NormalTextRun SCXW18672495 BCX0"> Research Institute and a Lecturer at the Ecole Polytechnique </span><span class="NormalTextRun SpellingErrorV2Themed SpellingErrorHighlight SCXW18672495 BCX0">Fédérale</span><span class="NormalTextRun SCXW18672495 BCX0"> de Lausanne (EPFL). He heads the Robot Learning & Interaction group at </span><span class="NormalTextRun SpellingErrorV2Themed SCXW18672495 BCX0">Idiap</span><span class="NormalTextRun SCXW18672495 BCX0">, exploring new applications of human-robot collaboration and robot learning from demonstration. The approaches developed in his group can be applied to a wide range of applications requiring manipulation skills, with robots that are either close to us (assistive and industrial robots), parts of us (prosthetics and exoskeletons), or far away from us (teleoperated robots). </span></span><span class="EOP SCXW18672495 BCX0" data-ccp-props="{"201341983":0,"335551550":6,"335551620":6,"335559685":0,"335559739":160,"335559740":259}"> </span>
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