
Ingo Frommholz
Reader in Data Science
University of Wolverhampton, UK
The The 13th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2023) will take place at ECIR 2023 in Dublin. The tentative schedule has been published. We hope to see you in Dublin!
How not to give in to too much information? I'm delighted to be part of OMINO, a Horizon Europe MSCA Staff Exchange project, guarantee funded by UKRI.
I'm General Chair of ACM CIKM 2023 in Birmingham, UK!
I am Reader (Associate Professor
equivalent) in Data Science in the
School
of Engineering, Computing and Mathematical Sciences at the University of Wolverhampton. I mainly work in the
areas of Information Retrieval and
Digital Libraries.
Prior to this, I was Senior Lecturer in the School of Computer Science and Technology of the University of Bedfordshire in Luton, UK. I was a member of the Information Retrieval group at the School of Computing Science of the College of Science and Engineering at the University of Glasgow. Before I was working in the Information Systems Working Group at the Faculty of Engineering of the University of Duisburg-Essen, where I did my PhD on information modelling and retrieval based on user annotations. Before joining the group in Duisburg, I worked at Fraunhofer IPSI on annotation-based retrieval in Digital Humanities.
I hold a PhD from the University of Duisburg-Essen and Diploma (MSc equivalent) in Computer Science from the University of Dortmund. I am a BCS Fellow as well as a Fellow of the Higher Education Academy.
I am the University of Wolverhampton's Principle Investigator of the EU Horizon Europe Marie Skłodowska Curie Staff Exchange project OMINO (Overcoming Multilevel INformation Overload).
I was the University of Bedfordshire's Principal
Investigator of the EU H2020 Innovative
Training Network QUARTZ
(Quantum Information Access and Retrieval Theory), which is
concerned with formal approaches to Information Access and Retrieval
based on the quantum mechanical framework.
My main research interests are Information Retrieval, Information Systems and Digital Libraries. The aim of my research is to tackle information overload by supporting users in finding relevant information more effectively. To this end, I employ cognitive and human-centric theories such as the Principle of Polyrepresentation or Information Foraging Theory. Being an educated computer scientist, I use mathematical formalisms (e.g., Hilbert spaces), AI and machine learning to bring the human into the loop.
Please contact me if you are interested in a BSc, MSc or PhD project in these areas.
In particular, I have been working on the following topics (links lead to peer-reviewed example papers):
As an example of my work, I gave a tutorial about quantum probabilities and quantum-inspired IR
at the Autumn School of the German IR Specialist Group.
I am coordinator of the MSc Computer Science and Data Science and MSc Computer Science and Artificial Intelligence online MSc Programmes at the University of Wolverhampton.
I was the coordinator of the BSc (Hons) Information and Data Systems course/programme during my time at the University of Bedfordshire.
Topics I have been teaching at undergraduate and postgraduate level comprise: