Umair Qudus

I am a computer scientist. I graduated in Computer Science from the National University of Computing and Emerging Sciences, with a strong background in data science, semantic web technologies, and query processing. I worked as a research engineer at Kyung Hee University, South Korea. I am currently working as a Ph.D. candidate at Paderborn University, Germany, tackling the application of Knowledge Graphs such as Fact Checking using traversal, embedding, and NLP techniques to assess and improve the quality of large-scale knowledge graphs.

Furthermore, I have worked and learned from a variety of environments, always employing a hands-on approach to gathering and processing data. I apply machine learning solutions to real issues, creating value through proofs-of-concept, deployed models in production, or peer-reviewed scientific papers.

I have acted in R&D teams in both software engineering and researcher positions, have worked as a data scientist for multinational companies, and I am also very experienced in teaching machine learning to different audiences, from master's students to start-up entrepreneurs and even seasoned engineers.

I am always open to collaborating and learning from researchers and industry experts around the globe.

#FactChecking #KnowledgeGraphs #QueryOptimization #FederatedQueryProcessing