You are cordially invited to the Data Science Seminar that will take place on Friday, 28th October 2016 (TU/e AUD2).
Participation is free of charge, but please register by sending an email to email@example.com before 26th October 2016.
Speaker: Joao Paulo Carvalho, INESC ID’s Spoken Language Systems Laboratory
Title: Fuzzy Fingerprints: Identification and classification in Big data using top-k values
Information about the event is as follows:
Abstract: Fuzzy Fingerprints are a recently introduced technique inspired by the fact that many types of data studied in the physical and social sciences can be approximated with a Zipfian distribution. I.e., the frequency of an item is inversely proportional to its rank in the frequency table. Fuzzy Fingerprints efficiently use the implicit information contained in top-k most frequent data values to perform identification in large datasets. The term “fingerprint” is used in the sense that fingerprints are unique, and are usually left unintentionally, allowing us to identify their “owners”. The fingerprint concept can be extended from single users to categories, topics or classes, allowing us to perform tasks such as classification and recommendation.
In this talk I will approach the ideas behind Fuzzy Fingerprints and show case studies and applications involving: identification of anonymous users based on their phone and web usage habits; text author identification based on their writing habits; classification and identification in social data (e.g. detecting tweets related to a given trending topic); classification based on medical text data; movie recommendation; etc.
This event is technically co-sponsored by the Benelux Chapter of IEEE
Computational Intelligence Society.
Back to Event Calender
I am a visiting scholar in the Information Systems group at Eindhoven University of Technology and an associate professor of School of Computer and Information Technology, Northeast Petroleum University, Heilongjiang Province, China.
I graduated from Beihang University in 2009 with Doctor of Science Degree. I have been working in Northeast Petroleum University for 6 years. I have done more than 11 projects of Business Process Modeling, Data Integration and Quality Management.
My current research and work focuses on (1) Business Process Intelligence (2)Business Process Management (3)Big Data.
As a not so new employee to the group (I did a lot of student-assistantships and my master thesis research within the group), but still a new employee I would like to introduce myself. I received my Bachelor’s degree and both my Master’s degrees whilst studying at the Eindhoven University of Technology: In 2013 I completed my Bachelor in Industrial Engineering, whereas I recently completed my Masters in Operations, Management & Logistics and Business Information Systems in September of 2016. My main interests are in the area of business process analysis and optimization, especially the combination of logistical processes and the use of data to improve the efficiency of these processes.
I will participate within the Information Systems department as PhD student on the DATAS project, which is aimed to improve processes in the logistical sector by using (real-time) data and statistics combined with improved models for scheduling and planning. I look forward to the coming years and hope to further develop my skills and engage in interesting collaborations!
Every year, Industria organizes the Education Awards ceremony. Awards will be handed out to the best lecturers of 2015-2016 in the categories: Propedeuse (First year Bachelor), Post-propedeuse (second and third year Bachelor), Operations Management and Logistics, Innovation Management and for Talent.
From our the Information Systems Group Rik Eshuis, Irene Vanderfeesten, Pieter Van Gorp & Remco Dijkman and Jonnro Erasmus are amongst the nominees!
Rik is nominated for Propedeuse, Irene for Post propedeuse, Pieter & Remco for Operations Master Management and Logistics and last but certainly not least Jonnro for the Talent Award.
Click here for Last years’s winners
Back to IS Event Calender
3 November 2016; The drink starts at 16.00h, and the official ceremony starts at 17.00h.
The Villa, Eindhoven
End-to-end process management in high tech manufacturing – an introduction to the HORSE project
The HORSE project is a EU Horizon 2020 research and development project in the area of “factories of the future”. It aims to develop a framework for smart factories that increases efficiency and effectiveness of manufacturing processes by applying and extending process management technology and by integrating human and robotic activities on the workfloor while ensuring a safe and healthy work environment. In this presentation I will introduce the HORSE project, its goals, its applications, and the contribution of the TU/e HORSE team to the framework as a whole. I will report on the progress we have made so far in the requirements analysis, complete system design and development of manufacturing process management.
Back to event
I obtained my Diploma in Electrical and Computer Engineering in 2007 (5-years degree) from National Technical University of Athens (NTUA), Greece, with a specialization in Communications.
After my studies I fulfilled my military service and then I worked for 3.5 years as a software developer in a private company operating in tourism industry, based in Athens, Greece.
In September 2014 I completed my MSc degree in Business Information Systems, at Eindhoven University of Technology (TU/e), The Netherlands, with a specialization in Business Process Management (BPM). My master project was about the Design of a Standard Architecture for Service Management based on the BASE/X framework, which is a business engineering framework for service-dominant business. The project was carried out at DLL, a global provider of leasing and finance solutions where we also implemented a prototype in a BPM tool (from Pega, a leader in BPM market) to act as a proof of concepts of the BASE/X framework regarding the agility of organizations to offer new service compositions to the market.
During my post-graduate studies, I also worked for a short period as a student assistant, tutoring Bachelor level students for a Design-based learning project.
Upon completion of my master studies, I worked as a Research Assistant in the Information Systems (IS) research group of the Industrial Engineering and Innovation Sciences (IE&IS) Department of TU/e. I was involved in the “ITS (Intelligent Transport Systems) Reference Architecture NL” project, establishing a ground for mobility standard in The Netherlands, taking existing heterogenous architectures into account. A business framework that would show the benefits (and costs) for deployment of mobility systems and the connection to the architecture framework were also objectives of that project. Furthermore, I worked on “PPA (Praktijkproef Amsterdam) Zuidoost” (a large-scale trial designed to reduce traffic jams in the Amsterdam region) project in order to define a business framework to guide the identification of stakeholders, costs and benefits for deployment of ITS applications.
In May 2015 I moved to Luxembourg to work as a software engineeer in TiVo (formerly Rovi Corporation), a global leader in digital entertainment discovery.
Since October 2016, I returned to IS group to work as a Business Information Systems Engineer for Advanced Manufacturing Process Management. My role is part of a larger team of HORSE project, a prestigious and innovative European R&D project in the area of smart factories. The project focuses on the application in manufacturing of business process management concepts, theories and technologies.
Prof.dr.ir. Jos J.M. Trienekens was appointed October 1st 2015 as endowed professor of Information Management in Educational Value Networks ” at the Open University. The chair at the Faculty of Management, Science and Technology funded by DEKRA Certification BV in Arnhem.
He will deliver his inaugural lecture:
Date: 28 October 2016
Location: Aula from the Vergadercentrum Pretoria from the Open University. Address: Valkenburgerweg, 177, 6419 AT Heerlen
Time: Reception from 15.30h, Inaugural Lecture: 16:00h (precisely)
Registration: Mandatory until 21 October 2016, via www.ou.nl/uitnodiging.
The Information Systems group is often contacted by industrial organizations with assignments that could lead to student projects at various levels (master thesis project, bachelor completion project, etc.) Through this website we make these topics available to our students. In this post, we announce one such project, involving company: Accenture
Thesis Writers gezocht – Robotics Research Circle FS Accenture
Primary Contact within TU/e: Rik Eshuis
Accenture is per direct op zoek naar 2 thesis writers:
- Robotics and Client Interaction (https://www.accenture.com/nl-en/careers/jobdetails?id=00391591_en)
Robotics worden steeds zichtbaarder in ons dagelijks leven. Hoe ervaren mensen dit en wat zijn de positieve/negatieve effecten voor bedrijven (Brand Image, Brand Personality en Brand Identity)? Dit onderzoek is Financial Services specifiek, met focus op Robo Advisors, financiële adviseurs.
2. Robotics and Insurance Processes (https://www.accenture.com/nl-en/careers/jobdetails?id=00391594_en)
Een deep dive in een insurance proces om de haalbaarheid en toepasbaarheid van robotische technologie te toetsen. Voor dit onderzoek dient er geschakeld te worden met klanten van Accenture en interne SME’s.
Title: Utilizing Electronic Heath Records to Support Risk Prediction of Cardiovascular Diseases
Abstract: The presentation will introduce the recent research in Zhejiang University of China on Risk Assessment of Cardiovascular Diseases based on data mining techniques. The research are based on 15000 patient records collected from the hospital. The features are retrieved through Medical NLP techniques, the different risk prediction models have been used on the data, and the results have been evaluated and compared to the GRACE model which has been used in clinical practice now.
About the speaker:
Xudong Lu is a professor of medical informatics at BMI lab of Zhejiang University in China, and a visiting research professor at Technical University of Eindhoven in the Netherlands this week. Before his employment in ZJU, he has the industrial experience of working at Nihon Kohden Corporation in Japan (a well-known corporation on its physiology examination devices and information systems) from 2002-2003. His research focuses are on electronic medical record and clinical decision support. He is the project leader of the National “863” project of “Research on High-end EMR-S and its pilot implementations” initiated since 2011. Besides, he has also involved in several national projects on clinical decision support system.
Back to event