piwik-script

Intern
    Lehrstuhl für Informatik III

    Jun.-Prof. Dr. Matthias Hirth

    Junior Professor at TU Ilmenau

    Homepage Fachgebiet Nutzerzentrierte Analyse von Multimediadaten
    Telefon (03677) 69-2855
    E-Mail matthias.hirth@tu-ilmenau.de
    VoIP

    Supervised Bachelor Theses

    • Borst, V.: Experimental Evaluation of the Interface Design of Crowdsourcing Tasks, (2018).
       
    • Tschammler, F.: Relationship between Context and QoE for Video Streaming, (2017).
       
    • Stulier, N.: Evaluation of Cranial Deformations Using Crowdsourcing, (2017).
       
    • Bauer, A.: Impact of Game Mods on Game Sales and Player Behavior, (2017).
       
    • Smietanka, O.: Detecting People Flows with Distributed Loudness Sensors, (2017).
       
    • Ernst, F.: Einfluss von Netzwerkparamtern auf Synchronisationsmechanismen in Videospielen, (2016).
       
    • Lesch, V.: Estimating Worker Attention on Microtasking Platforms, (2015).
       
    • Beutel, A.: Comparison of Active and Passive Measurements of the Application Behaviour in Enterprise Networks with Thin-Client Architecture, (2014).
       
    • Schwarzmann, S.: Estimating Perceived User Quality using Support Tickets in an Enterprise-IT Environment, (2014).
       
    • Kuhn, N.: Implementation of a Crowdsourcing Platform Prototype for Mobile Applications, (2012).
       
    • Scholz, M.: Performance Evaluation of Databases for Network Measurements using the Example of MySQL and Hadoop-Hive, (2011).
       
    • Oberste-Vorth, S.: Analyzing the Temporal Development of Author Networks using the Example of Wikipedia, (2011).
       

    Supervised Master Theses

    • Steurer, F.: Design and Simulative Evaluation of Data-Driven Scheduling Algorithms for Crowdsourcing Tasks, (2018).
       
    • Allendorf, F.: Assessing the Impact of Network Impairments on the Performance of Players in DOTA 2, (2017).
       
    • Tüchert, A.: Influence of loading delays on the perceived quality of web-based enterprise portals, (2017).
       
    • Morgan, B.: Simulative Evaluation of Scheduling Mechanisms in Data Centers, (2016).
       
    • Fischer, V.: Emulation Framework for the Subjective Evaluation of Delays in Web and Business Applications, (2016).
       
    • Kuhn, N.: Analysis of the Correlation between the Qualification of Crowdsourcing Workers and their Social Network Relationships, (2015).
       
    • Scherer, J.: Analysis of the Impact of Delays in Web and Business Applications on the Perceived User Quality, (2014).
       
    • Borchert, K.: Recommendation Systems in Crowdsourcing Platforms, (2014).
       
    • Scheuring, S.: Analyzing Trustworthiness and Qualification of Workers on Crowdsourcing Platforms, (2013).
       

    Supervised Diploma Theses

    • Amrehn, P.: User Centric Evaluation and Optimization of Cloud Storage Services using the Example of Dropbox, (2013).
       
    • Seufert, M.: Modeling QoE for YouTube Video Streaming using Crowdsourcing, (2011).
       
    • Phung, A.-N.: Internet-Based Methods for German Fraktur Characters Recognition - Experiment with Crowdsourcing, (2011).
       

    Supervised Student Project Theses

    • Smietanka, O.: Comparison of LPWAN IoT Device Communication Techniques LoRa and NB-IoT, (2019).
       
    • Steurer, F.: Optimization of Scheduling Mechanisms for Crowdsourcing Tasks Considering Time-dependent System Parameters, (2018).
       
    • Beutel, A.: Correlation of Subjective and Objective Measurements in Enterprise Networks, (2016).
       
    • Allendorf, F.: Assessing the Accuracy of the NetGraph Network Measurement Tool in Dota 2, (2015).
       
    • Kuhn, N.: Analysis of the co-working network of a commercial crowdsourcing plattform, (2015).
       
    • Amrehn, P.: Crowdsourcing based Network Measurements using the Example of YouTube, (2012).
       

    Lectures (Teaching Assistant)

    Seminar Talks (Tutor)

     Neue Dienste und Applikationen im zukünftigen Internet (WS15/16)

    • Collaboration Mechanisms for Crowdsourcing
    • Frameworks zur Erstellung von mobilen Hybrid-Apps

     Neue Dienste und Applikationen im zukünftigen Internet (SS15)

    • Massive Open Online Courses, Online Education and Crowdsourcing

     Neue Dienste und Applikationen im zukünftigen Internet (WS14/15)

    • The Dark Side of Micro-Task Marketplaces: Malicious Crowdsourcing Tasks and Possible Counter Measures
    • Worker Engagement in Online Crowdsourcing

    Neue Dienste und Applikationen im zukünftigen Internet (SS14)

    • Cheaters in the Steam Community Gaming Social Network
    • STFU NOOB! Predicting Crowdsourced Decisions on Toxic Behaviour in Online Games
    • Watch me Playing, I am a Professional: A First Study on Video Gaming Live Streaming

     Neue Dienste und Applikationen im zukünftigen Internet (WS13/14)

    • Crowdsourcing Database Systems
    • Overview of existing Crowdsourcing Frameworks

     Neue Dienste und Applikationen im zukünftigen Internet (SS13)

    • An Analysis of Human Factors and Label Accuracy in Crowdsourcing Relevance Judgments
    • Don't Hide in the Crowd! Increasing Social Transparency Between Peer Workers Improves Crowdsourcing Outcomes

    Neue Dienste und Applikationen im zukünftigen Internet (SS12)

    • Human Computation: A Survey and Taxonomy of a Growing Field
    • Übersicht über aktuelle Qualitätssicherungsmechanismen für Crowdsourcingaufgaben

     Neue Dienste und Applikationen im zukünftigen Internet (WS11/12)

    • Ausbreitungsmodelle in der Physik und der Medizin

     Neue Dienste und Applikationen im zukünftigen Internet (SS11)

    • Cascading behavior in networks
    • P2P Trading in Social Networks: The Value of Staying Connected

     Neue Dienste und Applikationen im zukünftigen Internet (WS10/11)

    • Methoden zur De-Anonymisierung von Internet Nutzern

    Neue Dienste und Applikationen im zukünftigen Internet (SS10)

    • Microworkers, Shorttask und Amazon Mechanical Turk Microjobs für zu Hause
    • Search Engine Optimization am Beispiel von Google