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> Nov 21, 2015 Workshop
Internet of Things Smart Space Research Team (IoT-s2o)
Smart Space Orchestration Hands-On
with the Intel Edison Platform
Nov 21, 2014 - LRZ @ TUM Campus Garching bei München
On this page you find an alphabetic list of all speakers.
The S2O workshop is about making smart spaces become reality. In fact, smart spaces are reality already in research labs.
In the 10 o’clock slot, you have the chance to get to know about such smart spaces that are currently reality in research. Ten experts will tell you their different perspectives.
The BaaS Model House
In this talk I would like to introduce the BaaS Model House to you. It is a small scale physical building model including a lot of building automation technology. We build this model along the research done in the BaaS project and want to reflect the results in it.
Malte Burkert is a staff member at the chair for practical informatics at Technische Universität Dortmund. His main interest are distributed reliable systems with focus on model based development and technical management.
Smart Energy Living Lab @ fortiss
In this talk the Smart Energy Living lab at fortiss will be introduced.
This demonstrator is integrated in a real office environment which
represents a node of the future smart grid. The current implementation
supports various device classes from different kinds of energy
technology like solar panels, batteries, smart meters, actuators and
sensors using different protocols. The demonstrator system is used to
monitor, control, and manage the office environment as well as to store
signals and data from every connected device. Furthermore, a rule system
is applied to support autonomous behavior and increase the energy
savings. In addition, mobile applications and corresponding interfaces
are developed to interact with the system.
Dr. Markus Duchon finished his PhD in 2013 in the area of Mobile and Distributed Systems at the Ludwig-Maximilians-University of Munich in cooperation with Siemens Corporate Technology. There he worked in the Department of Software Architectures and Platforms. His research interests include methods for optimizing Distributed Systems, Context-sensitive Systems and Software Architectures for the Smart Grid. At fortiss he is, among others responsible for the Smart Energy Living Lab Demonstrator.
Smart Spaces at IBM Research India
The talk will be about demand and response energy control.
Sunil K. Ghai is a research software engineer in the Smarter Energy group at IBM Research India. His research interests are in applied machine learning and systems development. At IBM, he works on problems pertaining to energy efficiency in residential and commercial buildings. He won a best paper award at IEEE E6, 2012 and his paper was nominated for a best paper award at ACM e-Energy 2013. He has also worked on an EU FP7 project (Wattalyst), where IBM is a consortium partner. Before joining IBM, he interned at the Technical University of Munich, Germany in 2009 and 2010 with The Chair for Network Architectures and Services group. He also worked with Google Inc. as a Google Summer of Code student in 2008 and 2010. He received his Bachelor’s degree in May 2010, from the Delhi College of Engineering, Delhi, India.
Internet of Things and embedded : easy prototyping, fast production transition | Hands-On
Internet of Things : I love it, I even have an idea for a product. But how do I start developing a prototype ? And how to go from a prototype to a production batch ? That’s the problem IoT developers are facing today. It’s part embedded computing, part electronics, part software and you can’t be expert in everything. There’s plenty of platforms available, from Raspberry Pi to Arduino, but they all have different capabilities and features. It’s hard to choose. Plus, most of them are not convenient to put into production. So, why not start with Intel Edison ? It’s very small, works with USB power, has wifi and Bluetooth 4. It’s a linux PC so it’s easy to work with. But there’s a microcontroller inside too. Sounds interesting ? Come with us to code on Galileo and Edison !
Paul is Intel Software Academic Program – Manager for EMEA-Russia. They are developing technical collaborations between intel and academic institutions.
End-user development of eTextiles
In my talk I will present one of the wearable projects I have developed so far: a smart jacket that supports blue collar workers during maintenance activities. I will also present a tool I created for the visual programming of smart textiles.
Juan Haladjian is a research assistant at the Chair for Applied Software Engineering at the TUM. He studied computer science in Barcelona and Computational Science and Engineering at the TUM. His research focus is on eTextiles and in particular, on ways to enable end-users to create software for their eTextiles.
Smart Meeting Rooms
The talk will be about smart spaces we are currently planning at our TUM living lab.
Benjammin is a staff member at the chair for network architectures and services at Technische Universität München.
IDEM -- Enforcing access control on data streams
In smart buildings a multitude of sensors measures the state of the building and its usage by the inhabitants. These information are collected at different places and at a time when it might be still unclear where these information will be analysed. It is therefore insufficient to imagine a centralized database for the storage of the information. Data streams are rather sent around and parts of it stored at different and/or multiple places. As a consequence, access control cannot rely on a database management system or a broker component but must be inherent to the data streams itself. We present a solution to this problem which uses attribute based encryption to protect data streams and enforce access control on the data level.
Marcel von Maltitz
Marcel studied Computer Sciences and Media at the Ludwigs-Maximilians-Universität in Munich. He is now a research staff member at the chair of network architectures and services at the Technische Universität München. His research interests are the creation of privacy preserving systems and strategies of data protection.
A Semantic Service Framework