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Innovation and Intellectual Property Management (IIPM) Laboratory

This project aims explore and predict potential disruptive innovation opportunity. The disruptive innovation opportunity means potential and promising technology and innovation to penetrate and reshape mainstream as well as niche market. In other words, we find answer the questions – first, which technology will penetrate new market? Second, how is this disruptive technology implemented as business?



The main technique to solve these questions are machine learning and deep learning. Deep learning is a technique for learning and inference based on big data and it can solve hard problem in practice without information loss. Especially, it provides ‘right’ insights through iterative learning with high performance improvement. Machine learning and deep learning support are well-suited to deal with various type of data – both structured and unstructured data as coming of big data age.


This project serves as an ex-ante forecasting while considering existing technological paradigm because we will use both unsupervised learning and deep learning such as semi-supervised learning. It enables to early detection and forecasting by accumulating newly generated data not evaluating and classifying after implementing technology.


Project team: Dr Yujin Jeong, Leonidas Aristodemou, Frank Tietze


Related publications


Yujin Jeong, Leonidas Aristodemou, Frank Tietze (2019). Exploring disruptive innovation opportunity using deep learning. The R&D Management 2019 Conference, Paris, France.

News & Blog articles

Visit at University of Muenster and Fraunhofer FFB

24 May 2024

Prof. Tietze had the chance of visiting Muenster in Germany earlier this week. During his stay, Prof. Tietze, together with collaborators from Münster, including Prof. Jens Leker and Prof. Simon Lux visited the recently opened “FFB PreFab” at the Fraunhofer Research Institution for Battery Cell Production (FFB) . This...


17 May 2024

Congratulations to Jannik Fritz who graduated today with an MPhil. Jannik has complete his MPhil research with the IIPM Lab focused on developing a tool that helps technology ventures developing IP strategies. His research is based on our IP roadmapping work. image.jpg

Welcome to the team

17 May 2024

We are pleased to welcoming David Gross , who has recently joint the IIPM Lab as visitor from RWTH Aachen in Germany where he is currently completing his master studies in production technologies. His research builds on our work of Intellectual Property Risk Management, in particular with a focus on developing a framework...