Marcus J. Neuer was born in Düsseldorf, Germany, in 1977. He received the Dipl.-Phys. degree, with distinction, from the Heinrich-Heine-University Düsseldorf in 2003 and the Dr. rer. nat. in 2006, following a Ph.D. thesis on a stochastic theory about anomalous transport in plasmas. In 2007, he joined ICx Technologies, focusing on algorithm development for pattern recognition for nuclide identification based on  gamma spectral signatures, which was highly relevant for homeland security applications. As of December 2012, he joined the Betriebsforschungsinstitut (BFI), a creative think tank with excellence in applied science, covering cutting edge data science and artificial intelligence solutions for process industries. In 2018 he became Head of the Department for Downstream Automation at the BFI, dealing with machine learning control (MLC), innovative, cyberphysical automation solutions and control theory. In November 2021, Dr. Neuer became Head of Research & Development at innoRIID GmbH, a company that he co-founded in 2014. 


Dr. Neuer was involved in projects for several high profile organisations such as the International Atomic Energy Agency (IAEA), the European commission (EU), the US Department of Energy (DOE), respectively the Domestic Nuclear Detection Office (DNDO) and the US Threat Reduction Agency (DTRA). For the European Union, he also acts as consulting expert and reviewer for research projects. In 2017 he was co-organizer and chair of the Werkstoff 4.0 session series at the Werkstoffwoche. In 2020 and 2022 he organised workshops on AI and machine learning for EU research projects. For the EU commission he also acts as scientific reviewer for selected ERA net proposals, the RFCS fund and the HorizonEurope programme. 


His technical and scientific interests concentrate on the development and application of algorithms, where his focus resides on a) industrial control and automation, b) machine learning and artificial intelligence, c) formal mathematical description of agent system dynamics and d) optimization in all its facets. Beneath his academic background, he has more than 25 years experience in agile software development and software architecture, including embedded system design.


Dr. Neuer is co-founder of innoRIID GmbH., a high-tech company which develops, manufactures and integrates solutions for radiation detection. In 2013, he developed ELIA, a next-generation nuclide identification code based on artificial intelligence which was successfully commercialised in the products of innoRIID. In spring 2016, he developed a novel auto-calibration algorithm named CEREBRA, introducing self-conception and deontic logics. A prompt gamma neutron activation analysis algorithm based on Likar-Vidmar-convolution was commercialised in the same year.


Since 2021, he offers the lecture series "Data Mining for Technical Processes" at the RWTH Aachen. In parallel he gives lectures at the FHDW for the topics "Foundations of Data Science" and "Advanced Topics in Computer Science". Having authored and co-authored various scientific works, he contributes regularly to scientific conferences and is member of the Institute of Electrical and Electronics Engineers (IEEE), the German physical society (DPG) and the Society of Industrial and Applied Mathematics (SIAM).