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 identifying nuclides based on their gamma spectrum signature, which was highly relevant for homeland security applications. In that time he acted as scientific
point-of-contact to the International Atomic Energy Agency (IAEA). As of December 2012, he joined the Betriebsforschungsinstitut (BFI), a creative think tank with excellence in applied science,
covering cutting edge data science 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.
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.
His technical and scientific interests concentrate on the development and application of algorithms, where his focus resides on a) agent and ensemble technologies,
b) machine learning, c) formal mathematical description of decentral system dynamics including stochasticity and d)
optimization in all its facets. Beneath his academic background, he has more than twenty years experience in agile software development and software architecture, including embedded system
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.
He offers contract based algorithm development and individual training courses on programming languages (Python, Julia and C/C++/C#) for companies. 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) and the German physical society (DPG).
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