Students

PhD students

  • Sumaiya Suravee is working in the project eDEM-Connect on automatic generation of semantic models from textual sources for assistive systems.
  • Teodor Stoev is working in the project BehavE on automatic semantic knowledge extraction from heterogeneous sources for behaviour analysis.
  • Tomasz Sosnowski is working in the project DigiCare on methods for natural language understanding and generation for intelligent conversational agents.
  • Moh’d Abuazizeh is working in the project DigiCare on methods for probabilistic state estimation in tutoring systems.
  • Nikolaj Graf von Malotky is working in the project DigiCare on methods for development of intelligent tutoring systems.
  • Samuel Whitehouse (external) is working in the project SPHERE at the University of Bristol on methods for sensor-based activity recognition.

Student assistants

Current

  • Bilal Hussain Chaudhry is a master student in Computer Science. He supports the development of natural language processing methods for text analysis.
  • Amir Raza is a master student in Computer Science. He is supporting the development on natural language processing methods for knowledge extraction from texts.
  • Muhammad Uzair Akmal is a master student in Computer Science. He is involved in the development of a chatbot-based tutoring system for interaction with patients with dementia.

Alumni

  • Arghya Biswas was responsible for supporting the development of an intelligent chatbot for supporting students in learning artificial intelligence topics
  • Debajyoti Paul Chowdhury was responsible for supporting the development and maintenance of the Text2HBM tool.
  • Teodor Stoev was responsible for the development of automated tool for semantic annotation of datasets.
  • Mona Arndt was responsible for the semantic annotation of sensor datasets.
  • Jakob Müller was responsible for the systematic categorisation of sensor datasets for activity recognition.
  • Amit Kumar was responsible for the development of stochastic model for activity recognition tasks.
  • Sebastian Klemm was responsible for the development of cognitive models for behaviour recognition with the ACT-R architecture.
  • Andreas Siebert was responsible for the semantic annotation of sensor datasets.

Final theses

Master theses

  • Dipendra Yadav successfully defended his thesis entitled “Exploring transfer learning for Deep NLP systems on rarely annotated languages“.
  • Sumaiya Suravee successfully defended her thesis entitled “Comparative study of the performance of various optimizers for named entity recognition systems“.
  • Teodor Stoev successfully defended his thesis entitled “A pipeline for named entity extraction from scarcely annotated and noisy text documents“.
  • Yi-Jie Lin successfully defended his thesis entitled “Identification of Different Persons by Applying Machine Learning Methods on Odor Patterns“.
  • Amit Kumar successfully defended his thesis entitled “Using Deep Learning Classifiers for Activity Classification“.
  • Saichand Gourishetti successfully defended his thesis entitled “Optimisation of Deep Learning Models for Real-time Keyword Detection on Resource-constrained Embedded Devices“.
  • Smit Chandarana successfully defended his thesis entitled “Investigating Feature Extraction Methods for Recognition of Social Environments and Behaviors from Transcripts of Daily Conversations“.
  • Samuel Whitehouse successfully defended his thesis entitled “Activity Recognition of Unscripted Kitchen Activities“. The thesis was conducted in collaboration between the University of Rostok and the University of Bristol.

Bachelor theses

  • Mariam Nassar successfully defended her thesis entitled “Analysis of Probabilistic Languages for Application in Lifted Inference“.
  • Teodor Stoev successfully defended his thesis entitled “Automated Recognition and Response to Text-Based Customer Requests Using Natural Language Processing“.

Student projects / Pre-theses

  • Mariam Nassar successfully completed the bachelor project “Automatic generation of domain ontology for activity recognition task“.
  • Sumaiya Suravee successfully completed the master pre-thesis “Automatic face detection for video-based intention recognition“.
  • Dipendra Yadav successfully completed the master pre-thesis “Automatic object detection for video-based intention recognition“.
  • Arghya Biswas successfully completed the master pre-thesis “Automatic Generation of Behaviour Models for Activity Recognition“.
  • Debajyoti Pau Chowdhury successfully completed the master pre-thesis “Automatic Generation of Behaviour Models for Activity Recognition“.