Altair Engineering Inspections Pte Ltd

[Zulema Estabrooks]

Frombig brand thought leaders to early-stage start-up entrepreneurs, learn how the convergence of simulation, high-performance computing, and AI is transforming how innovative companies unlock the full potential of their technology investment to compete in the future.

Day 2 will feature Belcan, EVR Motors, Nissan, Arcelor Mittal, JCB, and more, presenting alongside academic experts from Temple University, Purdue University, the University of Toronto, Nelson Mandela University, and the Universidade Federal do Rio de Janiero. Speakers presenting in these tracks range from some of the largest multinational companies to emerging startups.

Alessandro graduated with an MSc-Eng in Materials Engineering in 2008 from the Politecnico di Milano (Italy). Specialised in the field of advanced composite materials, he acquired experience in advanced CAE (Computer-Aided Engineering) structural design, research and development of composite materials and manufacturing technologies. He started his career in 2007 as aerospace research engineer at the CRC-ACS in Melbourne (Australia). Career highlights include, among others, his involvement in the design of the Volvo70 Groupama Team, Puma Racing and Team Telefonica for the 2011/2012 Volvo Ocean Race.

A visionary with extraordinary insight into what the future of business and society might look like, Webb is a winner of the Thinkers50 RADAR Award, and has been named to the BBC 100 Women list and the Thinkers50 Radar list of influential management thinkers shaping the future of how organizations are managed and led.

Alexander Gaeta studies quantum and nonlinear optics, or how laser light interacts with matter. He is uncovering new ways to use these interactions to see ultrafast processes in physics and to enhance communications, computing, and navigation, chemical sensing, and security.

Dr. Ragu Athinarayanan is a Professor of Smart Manufacturing & Industrial Informatics at Purdue University, West Lafayette. He holds BS and MS in Electrical Engineering, and PhD in Engineering Science from Southern Illinois University. He is a member of the expert network for World Economic Forum offering thought leadership on topics of intelligent manufacturing for shaping the manufacturing future using data and AI. His research interest is in data-driven smart manufacturing including systems optimization, zero-defect manufacturing, and predictive maintenance. He has over 90 refereed publications in areas of Artificial Intelligence, non-linear control, robotics, signal processing, and machine vision. Dr. Athinarayanan served in various leadership roles for 17 years as Department Head and Associate Dean. He has provided leadership in the development of research and academic programs that are consistent with state and national priorities. Under his leadership he has led the development of more than 20 academic programs through partnerships with business, industry, and federal agencies responding to national priorities. He has led the development of the BS degree in Smart Manufacturing Industrial Informatics aligned with the digitalization strategies of Industry 4.0, and successfully established four research centers at Purdue University focused on transferring technology into industries.

Peter Leblanc was appointed chief marketing officer of automotive for ArcelorMittal North America in May 2018. Leblanc previously served as director of automotive sales for ArcelorMittal North America.

Leblanc joined Dofasco in 1987 as a metallurgical engineer. He progressed through various roles servicing the automotive market, including both technical and commercial functions. In 1996, he was appointed manager of automotive market development, responsible for organizing the advanced engineering activities with the automotive customers in North America. In 2003, he was promoted to corporate account manager automotive, responsible for the commercial requirements of the Asian car makers in North America. He held this position until 2008, before taking his current role.

Leblanc graduated as a metallurgical engineer from Dalhousie (DalTech) in Halifax, Canada. He completed executive education programs at the Northwestern University (Evanston, Illinois) and McMaster University (Hamilton, Ontario).

Peder August Aune is a Senior Project Engineer at Kongsberg Defence and Aerospace, focusing on design and production of defense related CFRP aerostructures. He is also the technical lead in the joint industry collaboration ReThink, focusing on competence building in the field of Simulation Driven Design and Design for AM. Peder has a masters degree in Industrial Design Engineering from the Norwegian University of Science and Technology.

Manufacturing equipment can tell us when they need service. Automated data from field equipment informs our operation design decisions for today and tomorrow. Predictive scoring of credit lines help financial institutions identify who is a greater risk to default on credit loans. The evolution toward a smart, connected everything is digitally transforming the world, and as businesses realize the untapped benefits of taking digital twins to the next level, including the convergence of simulation technology, high-performance computing, and AI, the ... Read More

Light is the ideal carrier of information. Over the past several decades, light has enabled the formation of networks across long distances to transform how information is transmitted around the world. Today, networks at short length scales based on light are now poised to enable another revolution in high-performance computing. Many elements, such as CPUs, GPUs, and RAM can be connected efficiently at data rates comparable to those within the elements themselves. This will lead to new computer architectures and ... Read More

Light is the ideal carrier of information. Over the past several decades, light has enabled the formation of networks across long distances to transform how information is transmitted around the world. Today, networks at short length scales based on light are now poised to enable another revolution in high-performance computing. Many elements, such as CPUs, GPUs, and RAM can be connected efficiently at data rates comparable to those within the elements themselves. This will lead to new computer architectures and require new software that can take advantage of these highly connected elements for applications in AI, ML, modeling and simulation.

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