Prof. Dr. Mehmet Gültas

RESEARCH FOCUS


Research


1. Algorithmic Methods

  • Machine Learning and Deep Learning
  • Information theory
  • Probabilistic data models
  • Algorithmic methods of statistical learning

2. Data Management and Data Analysis

  • Statistical analysis and interpretation of big data in plant/animal breeding, bioinformatics and livestock husbandry
  • Big data analyses in agriculture in general
  • Development of machine learning algorithms to identify and classify specific behavioural patterns in livestock
  • Development of new data management systems with regard to collection, storage and administration of data relevant to agriculture
  • Establishment of unsupervised machine learning algorithms (e.g. clustering methods) to analyse agricultural data
  • Development of statistical data models and machine learning methods to establish digital technologies within the field of agriculture
  • Understanding complex biological processes like epistatic interactions among genotypic markers by applying statistical methods

3. Bioinformatics and Breeding Informatics

  • Analysis and interpretation of multi-omics data (Next-Generation Sequencing(NGS), RNA-seq, etc.)
  • Understanding of complex biological processes and networks, e.g. the research on epistatic interactions among genotypic markers
  • Analysis of transcription factors concerning their functions as well as interactions
  • Pathway analyses (upstream, downstream and masterregulator analyses) for the understanding of biological activities of regulatory processes on many levels (RNA, proteins, metabolites, etc.)
  • Information theory and its applications in bioinformatics and computational biology
  • Machine Learning approaches and evolutionary algorithms in bioinformatics and computational biology
  • Gene regulatory network analysis
  • Clustering approaches in bioinformatics (Markov Cluster Algorithm)



Teaching

Winter term

  • Applied Machine Learning in Agriculture with R (MSc)
  • Data Analysis with R (MSc)
  • Applied Bioinformatics with R (MSc)
  • Scientific Project: scientific methods, procedures and practical skills in animal and plant breeding (MSc)
  • Forschungspraktikum Biometrie mit R (BSc)

Summer term

  • Data Analysis with R (MSc)
  • Forschungspraktikum Biometrie mit R (BSc)
  • Anwendungsgebiete der Data Science (BSc)
  • Bioinformatik (BSc)
  • Scientific Project: scientific methods, procedures and practical skills in animal and plant breeding (MSc)


On-going and past projects, student related works and theses

Term Topic
ST 2020 Supervision of master's thesis: Development of an Automatic Pig Detection and Tracking System Using Machine Learning
ST 2020 Supervision of bachelor's thesis: Identifikation regulatorischer SNPs in Brassica napus durch Analyse von Multi-Omics-Daten
ST 2020 Supervision of bachelor's thesis: Die Entschlüsselung der spezifischen transkriptionellen Genregulation in Bezug auf den Krankheitsverlauf der Hühnerpest bei Stockente und Huhn
WT 2019/2020 Supervision of master's thesis: Genomic Prediction of Economically Relevant Traits in Livestock using Machine Learning
WT 2019/2020 Supervision of bachelor's thesis: Vorhersage von regulatorischen SNPs und deren Einfluss auf die Bindeaffinität von TFs in Pflanzen
WT 2019/2020 Supervision of bachelor's thesis: Analyse von Markerkandidaten und ihren assoziierten Genen in Vicia faba mittels bioinformatischer Methoden
ST 2019 Supervision of master's thesis Automatic distinction of behaviour patterns in pigs using anomaly detection techniques with a predictive convolutional network
ST 2019 Supervision of master's thesis: Development of a database of predicted regulatory SNPs and their impact on the binding propensity of transcription factors
ST 2019 Supervision of master's thesis: Random forest feature selection for MI epistatic networks
ST 2019 Supervision of research project: Comparison on genomic predictions using different statistical methods in a simulated cattle population
WT 2018/2019 Supervision of research project: Prediction of eukaryotic promoters using next generation sequencing data
WT 2018/2019 Supervision of research project: Prediction of epistatic interactions using information theory
ST 2018 Supervision of master's thesis: Assoziationsstudie zum Vicingehalt bei Vicia faba basierend auf Genotyping by Sequencing-Daten
ST 2018 Supervision of master's thesis: Genome wide association analysis for identification of markers associated with eggshell thickness using reverse regression based methods
ST 2018 Supervision of master's thesis: Identification of bovine tissue- and population specific transcription factor cooperations using next generation sequencing data and genome-wide variant calling

Publications

See ResearchGate or Google Scholar.