Prof. Feindt’s main experience and most successful research work is data driven software development, understanding and learning effects through data analysis, usage, further development and discovery of new multivariate statistical algorithms and respective software (today labelled “predictive analytics” or “machine learning’’) in big data environments. Real big data in modern particle collider experiments consist of PetaBytes of data per second and have to be reduced by a factor of about 1 million by automatic trigger systems before even stored to disk. Reconstruction and Monte Carlo simulations also run on the world wide Grid, predecessor of today’s commercial Cloud Computing.
Important work lies in the abstraction from the particular problem for an easy and successful transfer of these methods to other disciplines, and big data challenges in retail, various industries and financial services as well as real-time targeting mechanisms i.e. in online ad business.
In 2000 Prof. Feindt invented the NeuroBayes®-algorithm to predict future events by learning from samples of past events and developed it for usage in research and very different industries and applications like insurance, trading, retail, wholesale, finance, medicine, industry, customer relations. Key features of NeuroBayes® are its general approach for retail, industry and financial service problems, its robustness, speed, scalability and flexibility.
At Blue Yonder he invented a number of further algorithms important for applications in retail and industry, now integral part of Blue Yonder’s proprietary machine learning library. These are e.g. the cyclic boosting algorithm for “explainable” predictions (vs. black box), an algorithm for isolating causal effects in historic data, and OR-by-AI using a combination of ideas from reinforcement learning, deep learning and NeuroBayes. Another highlight is the implementation of the NeuroBayes expert algorithm in FPGA hardware, in collaboration with KIT, for the Belle II experiment. Such a chip can calculate 8 billion intelligent decisions per second for deciding which parts of a sensor should be read out.
Since 1997 Prof. Dr. Feindt is professor of physics at the University of Karlsruhe (Germany), now called Karlsruhe Institute of Technology (KIT). He supervised more than 60 PhD theses and 70 diploma/master theses, and co-supervised another 100 theses. He leads a research group of about 20 scientists at KIT. Currently he is on leave of absence from KIT for working full time for Blue Yonder.