Daniel MacGregor

Co-Founder

Bio

Co-Founder, Nexiot AG. Business Development for the EmbeddedLab, a research and engineering lab at the ETH Zurich for Physical Computing/IoT, the foundation of Nexiot AG. Industrial IoT evangelist and digital shaper.

Daniel MacGregor has over 20 years’ experience in applying technology to business needs. Since 2014 he has focused on digitisation of the supply chain. Daniel has worked for the EmbeddedLab at ETH Zurich, going on to become a founder of multi-million Swiss technology company Nexiot AG.

Daniel focuses on uncovering business needs and applying Nexiot’s cutting edge IoT solutions to optimise operations and the clients own service portfolio. This is done through an end-to-end solution from sensor, to information intelligence, to knowledge sharing. Supply chain participants can deploy IoT to differentiate their services and monetise digital insights. The philosophy is to leverage knowledge derived from big data for continuous business improvement.

Edward Clark

Product Specialist and Solutions Consultant

Title

Value-based Decision Making: a Best Practice of ISO 55000 for the Rail industry

Sub headings

Consistently and fully assess the benefits of any project or investment—based on economics, risk and customer benefits
Align decision making to your company's evolving strategic objectives
Identify the optimal set of investments, alternatives, and timing that will deliver the greatest value while respecting all constraints

Bio

Edward is a Product Specialist and Solutions Consultant at Copperleaf. He has over 15 years experience working in consultancy and software implementation in the Utility, Rail and Transport sectors. Edward has a wealth of experience designing and implementing complex and heavily integrated Enterprise Software in the Asset Management and Mobile Solutions space. He was the lead solution architect responsible for the design of the largest European workforce management and mobile solution for Network Rail as part of the ORBIS programme.

Roland Moser

Chief Technology Officer

Title

Translating IoT into real use cases – three applications how SBB captures the opportunities of IoT

Sub headings

Smart construction switch to improve safety and processes
Location information of different assets such as rolling stock and construction equipment to reduce costs and failures as well as to optimize processes
Lighting control for 135’000 lighting points to realize energy savings and extend asset lifetime

Bio

Roland Moser is the SBB Head of Technology Office. Before joining SBB in January 2021, he served in various global corporate technology management roles at General Electric (GE) and Alstom.

Roland holds an MSc and PhD in Engineering from the Swiss Federal Institute of Technology and an MBA from the University of Chicago. He held various research positions with NASA, the Stanford Research Institute and the University of Tokyo prior to starting his industrial career managing the electronic engineering department of a Swiss textile machinery manufacturer.

He is author and co-author of over 20 peer reviewed journal papers, over 30 peer reviewed conference publications and over 20 patents in the field of sensors, robotics, machine tools and magnetic levitation. Roland was scientific advisor to the Institute of Production and Robotics of the École Polytechnique Fédérale de Lausanne (EPFL), winner of the 2010 Europ/Euron Technology Transfer Award and finalist of the 2010 IEEE-IFR Invention and Entrepreneurship Award. Roland won two times an Alstom Innovation Award and was a finalist in the 2018 Global New Venture Challenge with an electric motorbike project.

Krzysztof Wilczek

Head of Track Analytics

Title

Using technologies to improve track maintenance

Sub headings

Using Artificial Intelligence can automate repetitive tasks on tamping machines, reduce the risk of damage and increase the quality of work
Measuring absolute track geometry at 100 km/h is a "game changer" in the management of railways' most valuable assets
Processing Big Data enables employees to gain insights offsite, to ensure safety, and to increase track capacity

Bio

Krzysztof Wilczek is Head of Track Analytics at Plasser & Theurer, where he supports infrastructure providers in building their predictive track maintenance regimes.

Krzysztof has worked for the SBB (Swiss Federal Railway) where he developed swissTAMP, a system for track analysis and predictive maintenance planning. He also founded and headed the data laboratory for infrastructure at SBB, where research and big data analytics meet the challenges of asset managers.

Krzysztof’s expertise is deeply rooted in the railway industry. At the ÖBB (Austrian Federal Railway) and the Technical University Graz, he focused on the life cycle management of railway tracks.

He got his Masters Degree in Mining Engineering from the Montanuniverstät Leoben, while also studying at the University of New Orleans and University of New South Wales in Sydney.

Krzysztof is therefore an ambassador on mission to transfer new developing technologies into the railway industry for a safer, cleaner and more efficient means of transport.

Optimising the IoT to Exploit Smart Asset Data to Improve Network Availability, Extend Asset Lifetime and Reduce Costs

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Meet the speakers

Stefan Leistner

Roland Moser

Thymo Van Den Brug

Krzysztof Wilczek

Edward Clark

Daniel MacGregor

Agenda

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