Interested in becoming part of the PAW machine learning community?
Review – Speakers 2018
Dr. Boris Adryan
Expert for IoT & Data Analytics
Dr. Boris Adryan is an internationally renowned expert for IoT and M2M, and the lead author of "The Technical Foundations of IoT" (Artech House). For many years he led machine-learning research at the University of Cambridge, before engaging in commercial activities and consulting. He now works at chemical company Merck KGaA.
Dr. Boris Adryan is speaker of the following session:
Can Akin is Chief Operating Officer at Cargonexx, an innovative service for carriers that uses a specially programmed algorithm to calculate a current market price for each freight shipment. After completing his MBA with a focus on capital markets and finance and working for various management consultancies and auditing firms, he is now primarily responsible for strategic planning and process optimization for this fast-growing and highly rated start-up, which stands out from competing platforms through real-time pricing and deep neural networks.
Can Akin is speaker of the following session:
Head of Condition monitoring in large oil Refinery in the middle east, professional mechanical engineer with over 12 years of experience in condition monitoring and turbo machinery field includes machinery troubleshooting, machinery diagnose, balancing, structure analysis and commissioning of rotating equipment, Amir has assisted and managed many Reliability solution and condition monitoring program throughout industries. He is a well known speaker in condition monitoring international events and he worked before as lead reliability solution for Emerson process management in middle east and Africa,
Amir is a Certified Maintenance and Reliability Professional (CMRP) as recognized by the SMRP Certifying Organization. Certified as a Category IV Vibration Analyst in accordance with ISO 18436-2, ANSI /ASNT certified in ultrasound, and Lubrication analysis techniques and an instructor for Mobius Institute and Emerson Process Management during service ,also he is a member of Mobius Institute-reliability improvement training and certification.
Amir Basyouni is speaker of the following session:
Dipl.-Ing. Stefan Bendisch leads the technical development of Health and Usage Monitoring Systems (HUMS) for the German helicopter range at Airbus Helicopters since 2010. His recent focus is on deep vibration analysis for advanced anomaly detection and he holds patents in machine learning for helicopter flight regime recognition.
Stefan Bendisch is speaker of the following session:
JLI vision a/s
Henrik Birk has a M.Sc.EE from Aalborg University in computer vision and image analysis. He has been with JLI vision a/s since 1997, first as a project developer, from 2003 as quality manager and since 2012 as sales manager. JLI vision was founded in 1985 and are specialist in developing advanced turnkey machine vision systems.
Henrik Birk is speaker of the following session:
Klaas Willhelm Bollhöfer
Founder & AI Thinker
Klaas Bollhoefer is founder and managing director of Birds on Mars GmbH, a Berlin-based company that enables organizations to develop strategies, structures, teams and applications at the connections of artificial and human intelligence. Klaas has been chief data scientist & evangelist with The unbelievable Machine Company (*um) for more than 6 years, pioneering data science in Germany, Europe and beyond. Always in-between, at the interfaces of business, IT, artificial intelligence and design he describes himself as a for-, side- and backward thinker. The time left is filled with lightning talks, guest lectures, program committee chairs and craft brewing. Klaas is a certified scrum master, design thinker, mediator and coach and will never stop being curious.
Klaas Willhelm Bollhöfer is speaker of the following session:
Sven F. Crone is an Assistant Professor in Management Science at Lancaster University, UK, where his research on forecasting with artificial intelligence has resulted in 40+ peer reviewed articles (including EJOR, JORS, IJF) and received international awards. As the Deputy Director of the Lancaster Centre for Forecasting, with 15 members of staff & PhD students one of the largest units dedicated to business forecasting, Crone has more than 10 years of consultancy experience in corporate projects, including supply chain forecasting (e.g. Beiersdorf, Sanofi-Aventis, Bayer, Celanese, Hapag-Lloyd), retail forecasting (e.g. Tesco, Morrisons, Sainsbury, Wilkinsons), and utilities demand and price forecasting (e.g. DONG, Codelco). Crone regularly provides corporate training courses for the Forecasting Centre, IBF and IEEE worldwide as well as custom-made in-house courses. He has been a regular speaker at 50+ academic and practitioner conferences, including different keynote lectures.
Prof. Dr. Sven Crone is speaker of the following session:
As a data-driven problem solver I love to use data and machine learning to solve some of the hardest problems. Currently, I am working as a data scientist at Uber, where I am trying to solve some unique problems in data infrastructure domain. Data infrastructure comes with its own challenges, the biggest being: lack of quality data and not a lot of research has been done in this space. But harder the problem, bigger is the impact if you solve it, and we @ Uber are taking a lead in this space.
Aditya Guglani is speaker of the following session:
Alwin holds a Phd in Applied Mathematics and studied in London, Berlin and Amsterdam. His main fields of interest are the modeling of customer purchasing behavior, forecasting and optimization under uncertainty. He is the founder of the Analytics & Data Science consultancy Haensel AMS – Advanced Mathematical Solutions. Most recently, he concentrated on topics such as: omni-channel attribution, personalized recommendations, dynamic pricing, as well as specific data mining and forecasting projects.
Dr. Alwin Haensel is speaker of the following session:
Business Intelligence Consultant
Christoph Hein works as an expert for BI solutions at the consulting firm Hendricks, Rost & CIE. GmbH in Düsseldorf. Previously, Mr. Hein was self-employed in the field of business intelligence and analytics.
Christoph Hein is speaker of the following session:
Dr. Tobias Hipp
Dr. Tobias Hipp works as a data scientist responsible for machine data analytics at Siemens Healthineers Customer Service and thereby focused on predictive maintenance.
Dr. Tobias Hipp is speaker of the following session:
I am working as R&D Engineer in Dassault Systems,Germany. Working in the development team for distributed image rendering engine and exploring how to apply AI for photo realistic rendering. Previously, I worked with Fraunhofer in ML based Software Evolution tool for improving programmer's experience. I was also associated with Ciena Networks as Software Engineer in the development team for efficient routing, path planning algorithms. My Master of Science was focused on exploring machine learning algorithms and did my thesis on knowledge retrieval in Probabilistic Graphical Models.
Muzahid Hussain is speaker of the following session:
Dr. Guglielmo Iozzia
Big Data Delivery Lead
Guglielmo Iozzia is a Big Data Delivery Lead at Optum Ireland (part of the UnitedhHealth Group). The teams he lead deal with Big Data and Analytics projects in the Payment Integrity and Healthcare spaces. He switched his career from test automation to Big Data and Machine Learning while in IBM before moving to Optum.
Dr. Guglielmo Iozzia is speaker of the following session:
Philipp is the founder and managing director of dida, a Berlin-based software company specialising in the field of machine vision and natural language processing. He holds a master in statistics from TU Berlin.
Philipp Jackmuth is speaker of the following session:
Information about Christian Karrasch's session will follow soon.
Varun is a Solution Architect (Data Science) at TIBCO Software. Through thought leadership and customer engagement, he helps businesses remain competitive in the ever-changing digital landscape. He has worked in many industries, driving TIBCO product direction to address business problems in Financial Services, Energy, Life Sciences, Consumer Goods & Retail, and Telco, Media & Networks. He also works as a technology evangelist to spread the Analytics/Data Science message across partners and customers.
Varun Khandelwal is speaker of the following session:
Felix Klingert holds a diploma in physics and is about to finalize his PhD thesis focused on machine learning applications to support operators with mechanical setups. At Fraunhofer IISB he supports medium- and large-sized customers in data optimization activities. His projects concentrate on production processes in semiconductor and laser industry.
Felix Klingert is speaker of the following session:
Founder & Head of Data Science Research
Ralf Klinkenberg, founder and head of data science research at RapidMiner, is a data-driven entrepreneur with 25 years of experience in machine learning and advanced data analytics research, software development, consulting, and applications in the automotive, aviation, chemical, finance, healthcare, insurance, internet, manufacturing, pharmaceutical, retail, steel, and telecom industries. He holds Master of Science degrees in computer science with focus on artificial intelligence, machine learning, and predictive analytics from Technical University of Dortmund, Germany, and Missouri University of Science and Technology, Rolla, MO, USA. In 2001 he initiated the open source data mining software project RapidMiner. In 2007 he founded the company RapidMiner with Dr. Ingo Mierswa. 2008 he won the European Open Source Business Award and 2016 the European Data Innovator Award. In 2017 the German government invited him to the steering committee of the “Plattform Lernende Systeme”. Today RapidMiner has more than 320,000 registered users in over 100 countries and is one of the most widely used predictive analytics platforms world-wide.
Ralf Klinkenberg is speaker of the following session:
Rico Knapper studied Mathematics at the Karlsruhe Institute of Technology (KIT), Germany. From 2009 till 2016 he worked as Research Assistant, Department Manager and Division Manager on applied Data Science projects at the FZI Research Center for Information Technology in Karlsruhe, Germany. In 2016, Rico Knapper co-founded the “anacision GmbH // an EXXETA company” and is currently involved in various applied Data Science projects in collaboration with different industrial customers.
Rico Knapper is speaker of the following session:
Richard Lim is the Manufacturing Strategist for Ink Supplies Organization at HP Inc. He is has been leading the organization's efforts towards Smart Manufacturing, moving their manufacturing operations towards Industry 4.0. The organization has factories around the world.
Richard has been in HP for 31 years, having experience in Equipment/Process/Tester Engineering, Factory IT and Manufacturing Analytics. Currently he is leading the organization's Manufacturing Analytics and IIoT labs technically.
He is an Electronic Engineer & MBA by degree and believes the innovative melding of manufacturing engineering fundamentals and data science is the way to successful manufacturing analytics. He is excited by the opportunity to transform existing manufacturing infrastructure & practices with industry 4.0 insights to give the business industry 4.0 results! He has been active in building an diverse manufacturing analytics group in HP that is making a difference!
Richard Lim is speaker of the following session:
Marie Mecking recently completed her Master of Science in Medical Engineering Science with focus on Data Science and works now for Siemens Healthineers on predictive maintenance. Before that she finished her Bachelor of Engineering in Electrical Engineering in cooperation with Siemens Healthineers Customer Service.
Marie Mecking is speaker of the following session:
Björn Noreik supports companies, independent of any sector, as a trainer and consultant in implementing and applying statistical methods in the areas of quality, process and product development since 2000. Especially in the pharmaceutical and automotive supplier industry, he has supported project teams by cause-and-effect analyses and, also, the implementation of automated condition monitoring systems. Since January 2017, he is the managing director of the company BNB-Qualitätsstatistik und Training. In addition, he participated in various research projects and developments and is a lecturer at the University of Applied Sciences Ruhr West for statistics and Six Sigma.
Björn Noreik is speaker of the following session:
Dr. Christoph Paulitsch
Senior Key Expert Data Analytics and Condition Monitoring
Dr. Christoph Paulitsch is speaker of the following session:
Senior Data Scientist
I am a senior data scientist at Dataiku, a French startup with the most advanced collaborative data science and machine learning platform. I joined Dataiku as one of the first emplooyees after graduating four years ago. Since then, I’ve designed many challenging data science products with Dataiku’s leading industrial clients such as Gemalto.
Pierre Pfennig is speaker of the following session:
Vice President Solution Engineering
Gunther studied Mathematics at the Technical University of Munich and during his studies, Gunther gained loads of industry experience at Roland Berger, UnternehmerTUM and Finleap as well as academic experience at Stanford University. Since 2016 he is working full-time for Celonis, an innovative Process Mining software company based in Munich where he started as a Data Scientist and now leads the Solution Engineering department.
Gunther Rameseder is speaker of the following session:
Simon Schneider is Co-Founder of 42.ai, which connects enterprises with startups for their AI needs. He serves as Director of ECSI and the HR startup Capacity. Before that Simon was founder of the crowdsourcing startup OmniCompete (acquired’12) which hosted thousands of technology competitions around the world and then led the AI-recruiting startup Zyncd (acquired’17).
Simon Schneider is moderator of the following session:
Prof. Dr. Michael Schulz
Prof. Dr. Michael Schulz is speaker of the following session:
Business Development Manager
Peter Seeberg is Business Development Manager Industrial Data Intelligence at Softing Industrial Automation GmbH. Peter is a member of the OPC Europe Advisory Council and an active member of the Machine Learning Expert Group at the German Mechanical Engineering Industry Association (VDMA).
Peter Seeberg is speaker of the following session:
Data Science Engineer
Experienced engineer with 4+ years of experience as analyst in FMCG industry, including SC Adidas Ukraine, Danone, P&G, Henkel, SMART business. Certified within R, Python, Data Science and Data Management.
Andrii Shchur is speaker of the following session:
Business Development Manager Advanced Analytics
Mission is to serve SMART business customer, using innovations in analytical and cognitive services to increase business effectiveness. Dmitriy spent 7 years developing technology and strategy at Microsoft. And 4 years as certified trainer experienced in readiness programs development, official Microsoft courses.
Dmitriy Solopov is speaker of the following session:
Dr. Christian Spindler
Manager / Data Scientist
Christian Spindler leads Data Analytics for IoT in PwC Switzerland. He is a technology and business expert for predictive analytics, e.g. for applications in preventive maintenance, sensor analytics and computer vision. Christian Spindler leads a national expert group on data sharing within the Swiss Data and Service Alliance, as well as the Swiss expansion of the Industrial Data Space Association.
Dr. Christian Spindler is speaker of the following session:
M.Sc. cand. Business Information Systems (Wirtschaftsinformatik)
Currently, I am completing my Master of Science in Business Information Systems with focus on Data Science at the Frankfurt University of Applied Sciences, in addition to two other master's programs in Strategic Management and Leadership. As part of my Master thesis I worked for Yello Strom GmbH in the field of analytics. Thereby I actively worked on the automation of various business processes such as the processing and verification of meter readings on their plausibility as well as the automated approval of invoices. Previously, I worked for KPMG AG for five years in the consulting area (IT-Advisory) and completed my Bachelor in International Business Information Systems. Moreover, I work since years at the Frankfurt University of Applied Sciences as a research assistant and tutor in the area of analytical customer relationship management, corporate performance management and data science (data engineering, data / text mining and predictive analytics) and teach Bachelor and Master students.
Bastian Stock is speaker of the following session:
Dr. Roland Stoffel
Roland Stoffel received his doctoral degree in Applied Mathematics at the University of Trier. Following that he worked as a simulation engineer for Structural Optimization and Advanced Driver Assistance Systems. Today as a Data Scientist, Dr. Stoffel is responsible for advanced analytics and machine learning systems inside DSA Skylyze.
Dr. Roland Stoffel is speaker of the following session:
With his Strategy Consultancy Datentreiber Martin Szugat supports companies during the digital transformation to data-driven business models and processes. His method of data strategy design empowers companies to develop individual and successful data strategies and allows them to take tangible advantage of their data. Prior to Datentreiber Martin Szugat was Managing Director of SnipClip, an agency for social media marketing & analytics solutions. The bioinformatics graduate has researched machine learning and data mining and worked as a freelance specialist author and IT consultant. Since 2014, he additionally is in charge as program director for the Predictive Analytics World conferences in Germany
Martin Szugat is speaker of the following session:
Martin Szugat is moderator of the following sessions:
- Beyond Deep Learning? AI for Analytics in Industry 4.0
- 10.40 - 11.10am: Digitalizing Tires at Continental: Round and Round it Goes…Hopefully!
- 11:10 - 11:40 am: Designing Explainable and Responsible AI for Organisations
- 11:45 am - 12:15 pm: Data Quality Anomaly Detection at Uber
- 2:00 - 2:30 pm: Predictive Maintenance Model Retraining Based on Automatic Labels from Maintenance Log Data in an Automotive Press Shop
- 2:30 - 3:00 pm: Smart Data Analytics in Automotive Manufacturing at Audi
- 3:30 - 4.00 pm: Connecting Analytics at Merck: Towards an IoT Strategy
- 4:00 - 4:30 pm: Machine Learning Beyond Classification and Regression: Predicting Assembly Plans for New 3D Product Designs at Daimler
- How to Kill Your Data Lab
- 10:15 - 10:45 am: Intelligent Evaluation of Diagnostic Parameters to Support Mechanics During Car Repair
- 10:45 - 11:15 am: Predictive Maintenance @ Siemens Healthineers – Selected Approaches
- 11:20 - 11:50 am: Decoding Vibration Data at Airbus Helicopters – Anomaly Detection of Rotorcraft Components Using Data Analytics and Machine Learning
- 11:50 am - 12:20 pm: Preventive and Predictive Monitoring for Wind turbines and Other Machines under Remote Control
- 1:20 - 1:50 pm: Towards Industry 4.0 at HP: A Manufacturing Organization's Journey, Experience & Learning
- 1:50 - 2:20 pm: How to win in business model competition using artificial intelligence? Business case online taxi service UKLON.
- 2:25 - 2:55 pm: Industrial Edge Analytics for Real-Time On-Site Insight at a German Machine Builder
- 2:55 - 3:25 pm: Machine State Prediction from One Sensor
- 3:55 - 4:25 pm: Evidence-Based Metering Using Predictive Analytics at EnBW
- 4:25 - 4:55 pm: Combining Deep Learning and Satellite Images for a Down-to-Earth Business Application for Enpal
- Ten Key Principles on how to Transform a Global Company into a Data Driven Leader
- 12:15 - 12:45 pm: Session: How is Predictive Analytics and AI Helping Cargonexx to Revolutionize Truck Logistics?
- The Journey to 4.0 - Enabling the Workforce
Alexander Thamm GmbH
Alexander Thamm is CEO of the first German data science consultancy and inventor of Data Journey. As a leading company in the field of Data Science, Big Data & AI, Alexander Thamm and his team were awarded #1 for Machine Learning (Crisp Research) and Leader for Big Data (Experton / ISG) in 2017. With more than 500 successful projects over 6 years, Alexander Thamm and his team drive value creation through data in Europe with enthusiasm and passion. The AT Data Academy, where Data Scientists and Data Engineers are trained, also serves this purpose. Globally operating companies such as BMW, Vodafone, Allianz, Innogy and Daimler are among the satisfied customers. Alexander Thamm began his data career more than a decade ago in the automotive industry, where he developed analytics services along the entire value chain.
Alexander Thamm is speaker of the following session:
Head of Software Engineering High-level
Sebastian Weitzel studied Informatics Bachelor and Master at TUM and specialised in Software Engineering and Robotics. He has previous working experience in the fields of Software Quality and Systems Engineering. In April 2016 he co-founded KEWAZO in order to automate the construction industry. In his role at KEWAZO as Co-founder and Head of Data Analytics and IoT, Sebastian Weitzel works on collecting data about the construction process.
Sebastian Weitzel is speaker of the following session:
Dr. Sebastian Wernicke
Chief Data Scientist
Sebastian Wernicke is Chief Data Scientist of ONE LOGIC, helping organizations make sense of their data. He originally studied bioinformatics before moving into management consulting and serving as managing director at Seven Bridges, building genetic analysis platforms. He is also widely known for his TED Talks around data and statistics.
Dr. Sebastian Wernicke is speaker of the following session:
Viktor Wingert is co-founder of Enpal. He holds a Master in Business Administration from WHU – Otto Beisheim School of Management. Before founding enpal he worked as a consultant for 6 years with a focus on High Tech and Telecommunications.
Viktor Wingert is speaker of the following session:
M.Sc. cand. Business Information Systems (Wirtschaftsinformatik)
Lukas Zeisberger is currently finishing his Master degree of Business Information Systems at Frankfurt University of Applied Science. His Master thesis is about „Implementation of a system to plausibilizing the consumption data, by using machine learning”. He graduated his Bachelor degree of Informatics with his thesis “Forecast of fuel consumption of omnibus field data. Data preprocessing & modeling” wich he wrote in cooperation with Daimler AG.
Lukas Zeisberger is speaker of the following session:
Dr. Hans-Georg Zimmermann
Senior Research Scientist
Dr. Hans Georg Zimmermann, Study of Mathematics at University of Bonn, Senior Principal Research Scientist at Siemens Corporate Technology in Munich for 30 years, Founding member of the neural networks research at Siemens. Since Dec. 2017 at Fraunhofer Gesellschaft in Nurnberg.
Dr. Hans-Georg Zimmermann is speaker of the following sessions: