Christian Meurisch

nameChristian Meurisch
positionResearch Assistant
emailmeurisch(AT)tk(dot)tu-darmstadt(dot)de
phone+49 (6151) 16 - 23190
fax+49 (6151) 16 - 23202
officeS2-02 A 112
postal addressTU Darmstadt - FB 20
FG Telekooperation
Hochschulstraße 10
D-64289 Darmstadt
Germany

Academic Education / Position

  • 05/2012, BSc in Computer Science at TU Darmstadt
  • 08/2014, MSc in Computer Science at TU Darmstadt
  • Since 10/2014, PhD student at the Telecooperation Lab (TK), TU Darmstadt
    Working title: "A Framework for Ubiquitous Personal Assistants"
  • Since 08/2016, Area Head (acting) of the Smart Proactive Assistance (SPA) area

Research Interests

  • Ubiquitous Personal Assistants
  • Edge Computing, In-network Processing
  • Smart City, Emergency Response

Current / Past Projects

Enhanced Smart Street Lamps (> 2017)
Interconnected street lamps as complementary ICT pillar of Smart Cities (X-2-streetLamps)

Ubiquitous Personal Assistants (> 2016)
Single point of intention-based proactive assistance for supporting individuals in everyday life

LOEWE NICER (2015 - 2017)
Networked Infrastructureless Cooperation for Emergency Response

https://www.nicer.network

Kraken.me (2014 - 2015)
Multi-device user tracking suite for mobile, desktop and social

https://www.kraken.me

Noisemap (2011 - 2013)
Participatory sensing app for measuring environmental noise level

da_sense (2010 - 2012)
Urban sensor platform for collecting, processing, and visualizing sensor data from smartphones, wireless sensor networks, and sensor infrastructure.

Awards & Programs

Software Campus (yr 2015)
Software Campus combines scientific leading-edge research with hands-on management practice into an entirely new and innovative concept.

Project: "PersonalAssistant: Personalisiertes Assistenzsystem zur Alltags- und Arbeitsunterstützung" (03/2016 - 02/2018)

http://www.softwarecampus.de

ACM MobiHoc 2017 - Best Poster Award
Our poster titled "NICER911: Ad-hoc Communication and Emergency Services Using Networking Smartphones and Wireless Home Routers" won the Best Poster Award at ACM MobiHoc 2017, the 18th International Symposium on Mobile Ad Hoc Networking and Computing.

Professional Development /Activities

  • 11/2016, Konflikte und Führungssituationen, Deutsche Post DHL Group, Bonn (Germany)
  • 09/2016, Neu als Führungskraft - Basics für zukünft. F.-kräfte, Holtzbrinck, Stuttgart (Germany)
  • 05/2016, Grundlagen der Szenarioplanung, Bosch, Stuttgart (Germany)
  • 04/2016, Kreative Potenziale wecken, Software AG, Darmstadt (Germany)
  • 04/2016, Sales Excellence - Verkaufen für Nicht-Verkäufer, Scheer Holding, Saarbrücken (Germany)
  • 04/2016, Intercultural Awareness, SAP AG, Walldorf (Germany)
  • 02/2010 - 09/2014: Working student, Prostep AG, Darmstadt (Germany)

Community Activities

  • 11/2017, Session Chair, Mobiquitous'17
  • 11/2017, Reviewer PerCom'18
  • 10/2017, PC member MobiCASE'18
  • 09/2017, Reviewer IEEE/ACM Transactions on Networking (IF: 3.376)
  • 09/2017, Chair of 2nd SmartGuidance Workshop, UbiComp'17
    (Website: http://smartguidance17.weebly.com)
  • 08/2017, Reviewer VRST'17
  • 08/2017, Session Chair "Mobile Computing", ICCCN'17
  • 07/2017, Reviewer OzCHI'17
  • 06/2017, Reviewer UbiComp'17: Posters
  • 05/2017, Reviewer ISWC'17
  • 10/2016, Reviewer Infocom'16
  • 09/2016, Chair of 1st Smarticipation Workshop, UbiComp'16
    (Website: https://smarticipation.wordpress.com)
  • 05/2016, Reviewer ISWC'16
  • 11/2015, Reviewer PerCom'16

Conferences & Travel

  • 12/2017, GLOBECOM'17, Singapore (Singapore)
  • 11/2017, Mobiquitous'17, Melbourne (Australia)
  • 09/2017, UbiComp'17, Maui, Hawaii (USA)
  • 08/2017, ICCCN'17, Vancouver (Canada)
  • 07/2017, MobiHoc'17, Chennai (India)
  • 07/2017, COMPSAC'17, Turin (Italy)
  • 03/2017, SWC Summit 2017, Berlin (Germany)
  • 03/2017, Smart City Forum, CeBIT'17, Hannover (Germany)
  • 09/2016, UbiComp'16, Heidelberg (Germany)
  • 11/2015, MobiCASE'15, Berlin (Germany)
  • 09/2015, UbiComp'15, Osaka (Japan)

Publications

Additional Attributes

Type

Temporal Coverage Analysis of Router-based Cloudlets Using Human Mobility Patterns

Christian Meurisch, Julien Gedeon, Artur Gogel, The An Binh Nguyen, Fabian Kaup, Florian Kohnhäuser, Lars Baumgärtner, Milan Schmittner, Max Mühlhäuser
In: IEEE GLOBECOM (to appear), December 2017
IEEE
[Inproceedings]

Capturing Daily Student Life by Recognizing Complex Activities Using Smartphones

Christian Meurisch, Artur Gogel, Benedikt Schmidt, Timo Nolle, Frederik Janssen, Immanuel Schweizer, Max Mühlhäuser
In: 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous), November 2017
ACM
[Inproceedings]

Smartphone-based Robust Hierarchical Framework for Activity Recognition based on Machine Learning

Rida Hussain, Muhammad Awais Azam, Mustansar Ghazanfar, Usman Naeem, Christian Meurisch
In: Future Technologies Conference (FTC'17), November 2017
IEEE
[Inproceedings]

Efficient Crowd Sensing Task Distribution Through Context-aware NDN-based Geocast

The An Binh Nguyen, Pratyush Agnihotri, Christian Meurisch, Manisha Luthra, Rahul Dwarakanath, Jeremias Blendin, Doreen Böhnstedt, Michael Zink, Ralf Steinmetz
In: 42nd IEEE Conference on Local Computer Networks (LCN'17), October 2017
IEEE
[Inproceedings]

Emergency Communication in Challenged Environments via Unmanned Ground and Aerial Vehicles

Lars Baumgärtner, Stefan Kohlbrecher, Juliane Euler, Tobias Ritter, Milan Schmittner, Christian Meurisch, Max Mühlhäuser, Matthias Hollick, Oskar von Stryk, Bernd Freisleben
In: IEEE Global Humanitarian Technology Conference (GHTC), October 2017
IEEE
[Inproceedings]

Reference Model of Next-Generation Digital Personal Assistant: Integrating Proactive Behavior

Christian Meurisch, Maria Ionescu, Benedikt Schmidt, Max Mühlhäuser
In: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'17): Adjunct Publication, September 2017
ACM
[Inproceedings]

SmartGuidance'17: 2nd Workshop on Intelligent Personal Support of Human Behavior

Christian Meurisch, Usman Naeem, Philipp Scholl, Muhammad Awais Azam, Sebastian Günther, Paul Baumann, Shafiq ur Réhman, Max Mühlhäuser
In: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'17): Adjunct Publication, September 2017
ACM
[Inproceedings]

An Extensible Pervasive Platform for Large-scale Anticipatory Mobile Computing

Christian Meurisch, Bennet Jeutter, Wladimir Schmidt, Nickolas Gündling, Benedikt Schmidt, Fabian Herrlich, Max Mühlhäuser
In: 41st Annual IEEE Computer Software and Applications Conference (COMPSAC'17), July 2017
IEEE
[Inproceedings]

NICER911: Ad-hoc Communication and Emergency Services Using Networking Smartphones and Wireless Home Routers

Christian Meurisch, The An Binh Nguyen, Stefan Wullkotte, Stefan Niemczyk, Florian Kohnhäuser, Max Mühlhäuser
In: International Symposium on Mobile Ad Hoc Netwroking and Computing (MobiHoc'17): Posters, July 2017
ACM
[Inproceedings]

Decision Support for Computational Offloading by Probing Unknown Services

Christian Meurisch, Julien Gedeon, The An Binh Nguyen, Fabian Kaup, Max Mühlhäuser
In: International Conference on Computer Communications and Networks (ICCCN'17), July 2017
IEEE
[Inproceedings]

Theses

2 Entries found


Predictive Analytics for Vehicle Inspection in Segmented Assembly Lines

Master Thesis

finished


<<Further details will follow>>

Enhancing Detection of Crisis-related Mircoblogs by Geo-based Lexical Approach

Master Thesis

finished


Microblogs are a rich source of information. During large-scale crisis events such as earthquake or flood, people share valuable information via microblogs. This information is crucial for relevant authorities so that appropriate actions can be taken. However, the information from micro-blogs is not easy to interpret. Most of the data which is retrieved from the microblogs is unstructured and raw. These characteristics of the data make it difficult to extract related information from it. Existing approaches have the ability to detect the crisis event using microblogs, however, these approaches are not appropriate and sufficient to extract relevant information from them. Mostly classification and lexicon approaches are used to filter out useful data but they do not capture the human behavior and many classification approaches also ignore the location information. Existing lexicon approaches only perform well for a specific event and it is true only if the lexicons are made in advance using related data for a particular event. In this thesis, we develop and analyze an approach to make use of classification and spatial information present in the tweets to find the related hotspot clusters. Our hypothesis is that people microblog (tweet) about the same topic if they are in the same area (hotspot) that is affected by a disaster event. We then create lexicons from these hotspot clusters and use them to detect and re-tag misclassified tweets. To evaluate our approach against the existing approaches we make use of six publicly available (geo-tagged) tweet datasets. The results after allowing our extension shows significant gains in the F1 score. The proposed method combines the benefits of regular classification and lexicon approach to detect useful information from a developing crisis event.


Please feel free to contact me, if you are interested in a thesis.

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