HILTON MUNICH PARK
12-13 JUNE, 2018

WHERE AI MEETS IoT

Speakers


Dr. Boris Adryan
Dr. Boris Adryan

Expert for IoT & Data Analytics at the Chief Digital Office

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
Can Akin

COO

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.

Amir Basyouni
Amir Basyouni

Head of Condition Monitoring

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:

Stefan Bendisch
Stefan Bendisch

R&D Engineer

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.

Klaas Willhelm Bollhöfer
Klaas Willhelm Bollhöfer

Founder & AI Thinker

Klaas Bollhoefer is founder and managing director of Birds on Mars, a Berlin-based company that empowers organizations to develop strategies, spaces, teams and applications at the connections of artificial and human intelligence. Klaas is 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.

Klaas Willhelm Bollhöfer is speaker of the following session:

Prof. Dr. Sven Crone
Prof. Dr. Sven Crone

Director

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:

Dubravko Dolic
Dubravko Dolic

Aditya Guglani
Aditya Guglani

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:

Dr. Alwin Haensel
Dr. Alwin Haensel

Business Analytics & Founder

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.

Christoph Hein
Christoph Hein

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.

Dr. Tobias Hipp
Dr. Tobias Hipp

Data Scientist

Dr. Tobias Hipp works as a data scientist responsible for machine data analytics at Siemens Healthineers Customer Service and thereby focused on predictive maintenance.

Muzahid Hussain
Muzahid Hussain

R&D Engineer

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
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 Jackmuth
Philipp Jackmuth

Founder

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.

Christian Karrasch
Christian Karrasch

Varun Khandelwal
Varun Khandelwal

Solutions Architect

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
Felix Klingert

Data Scientist

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.

Rico Knapper
Rico Knapper

Chief Data Scientist

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.

Amit Kurhekar
Amit Kurhekar

Senior Technology Manager

Amit Kurhekar has 15+ years of working experience and is currently working with Procter & Gamble as Senior Technology Manager. He is leading P&G’s global program for Smart Machines using Industry 4.0 and AI.

Amit has a unique background in FEA, Design of experiments, Manufacturing data science which brings together skills enable superior product/equipment design, deployment, and ongoing performance improvement. Amit has started & established Data Science capability in P&G to focus on AI applied to Industry 4.0 and leads internal and external pilots.

Richard Lim
Richard Lim

Manufacturing Strategist

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!

Dr. Christoph Paulitsch
Dr. Christoph Paulitsch

Senior Key Expert Data Analytics and Condition Monitoring

Pierre Pfennig
Pierre Pfennig

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.

Ulf Schöneberg
Ulf Schöneberg

Senior Data Scientist

Mathematician background. Data Scientist at The unbelievable Machine Company (*um). Worked as a software architect in the editorial office of zbMATH. Research interests include natural language processing methods for text analysis and neural networks methods and their use for data analysis. 

Ulf Schöneberg is speaker of the following session:

Prof. Dr. Michael Schulz
Prof. Dr. Michael Schulz

CEO

Peter Seeberg
Peter Seeberg

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).

Dr. Christian Spindler
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:

Bastian Stock
Bastian Stock

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.

Dr. Roland Stoffel
Dr. Roland Stoffel

Data Scientist

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:

Martin Szugat
Martin Szugat

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:

Prof. Dr. Wanja Wellbrock
Prof. Dr. Wanja Wellbrock

Professor for Procurement

Prof. Dr. Wanja Wellbrock works as a Professor for Procurement at Heilbronn University. Before his academic career, he worked as a consultant for Lumics GmbH & Co. KG – A joint venture between McKinsey & Company and Lufthansa Technik. Wanja Wellbrock achieved his PhD at Philipps University Marburg finishing his theses about "Innovative supply chain management solutions". Mr. Wellbrock is a multiple author in international journals and a well-known speaker at international conferences.

Prof. Dr. Wanja Wellbrock is speaker of the following session:

Dr. Sebastian Wernicke
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:

Lukas Zeisberger
Lukas Zeisberger

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.

Dr. Hans-Georg Zimmermann
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.