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Student research projects, Bachelor, Master or Diploma theses

Different topics in knowledge management discipline with different focuses and the respective contact persons.


Prof. Dr. Alexander Holland

E-Mail: alex{at}informatik.uni-siegen.de

Current focuses:

  • Knowledge Management in SMEs
  • Organizational knowledge and knowledge intensive processes

Announced Topics:

Dr.-Ing. Mareike Dornhöfer

E-Mail: m.dornhoefer{at}uni-siegen.de

Current focuses:

  • Green Knowledge Management, Environmental Management, Environmental Information Systems, Sustainability and Green Technologies
  • Semantic Technologies, Linked Open Data
  • Industry 4.0 and IoT

Announced Topics: On request

Dipl.-Inform. Christian Weber

E-Mail: christian.weber{at}uni-siegen.de

Current focuses:

  • Data Mining and Machine Learning
  • Semantic Technologies
  • Technology Enhanced Learning
  • Cyber-physical Systems and Industry 4.0 Applications

Announced Topics: On request

Dr.-Ing. Sara Nasiri

E-Mail: sara.nasiri{at}uni-siegen.de

Current focuses:

  • Textual Case based Reasoning
  • Deep neural networks

Announced topics:

  • Medical Skin Image lesions classification using deep neural Networks: A case study of patients with melanoma
    Typ: Bachelor thesis/Master thesis
    Focus: Conception and implementation
    Requirements: Basic knowledge in programming and Caffe

  • Medical Learning TCBR and adaptation mechanism: A case study of caregivers (dementia caregiving)
    Art: Bachelor thesis/Master thesis
    Focus: Conception and implementation
    Requirements: Basic knowledge in programming(Java/c++) and CBR Open Source Tools

M.Sc. Johannes Zenkert

E-Mail: johannes.zenkert{at}uni-siegen.de

Current focuses:

  • Text Mining: Sentiment Analysis and Topic Detection
  • Extraction, Analysis and Visualization of unstructured data

Announced topics:

  • Extractive and Abstractive Text Summarization
    Type: Bachelor / Master thesis
    Focuses: Theoretical research, conception and implementation
    Requirements: Programming skills in your prefered programming language, Advanced skills for integration and communication with databases

  • Natural Language Generation: Utilization of Deep Learning (RNN/LSTM)
    Type: Bachelor / Master thesis
    Focuses: Theoretical research, conception and implementation
    Requirements: Programming skills in your prefered programming language, Advanced skills for integration and communication with databases

M.Sc. Ahlam Mallak

E-Mail: ahlam.mallak{at}uni-siegen.de

Current focuses:

  • Neurological image processing
  • Machine learning
  • Big Data Analysis
  • Ontology Engineering
  • Fault Detection and Diagnosis using machine learning
  • Fault Detection and Diagnosis using model-based/Rule-based techniques

Announced Topics: On request

  • Machine Learning for Mobile Wireless Sensor Networks (MWSN): The Application of Machine Learning to Overcome Some Functional Challenges in Real-time Routing MWSNs.
    Art: Master thesis

    Tasks: The main objectives in this master thesis are following:
    1. Apply a simulated model for MWSNs: This step doesn't have to be genuine or novel. So the student is expected to apply existing network topology, algorithms, and strategies using Simulink/Matlab. Which, guarantees the best mobile wireless data transfer and control.
    2. Extract real-time data from the created model.
    3. Use Machine learning Algorithms to make this simulated model a real-time routing model, by solving some functional issues of simulated MWSN.

    Requirements:
    1. Studies in Computer Science or Mechatronics, or any Related Field.
    2. Programming using Matlab, and one other programing language. more preferable C++ or C.
    3. Knowledge in Simulink.
    4. Communication skills.
    5. Interest in machine learning and/or wireless communication systems.

    Language: englich
    Start date: As soon as possible