Dr. Jochen Heistermann

Teaching at university level in artificial intelligence, including current AI concepts, methods, and applied perspectives for students in academic settings

AI scientist, inventor, and technology leader with a PhD in Computer Science and decades of experience in AI research, industrial AI, and international technology leadership. Background includes AI R&D in Germany and the US, a patented ML training method, publications, a computer-science book, and former headquarters-level roles at Siemens. Currently working on foundation-model architectures beyond standard Transformer scaling for more efficient and controllable multimodal and embodied AI systems.

Working on a novel architectural direction for foundation models beyond standard Transformer scaling, focused on true within-layer lateral mechanisms, competition and inhibition dynamics, associative memory, and multimodal extensions. The goal is to explore more efficient, controllable, and capable next-generation AI systems, especially for multimodal and embodied settings. Also worked on AI cell diagnostics, energy-management AI, and related industrial development.

Led large-scale international technology programs and governance at Siemens headquarters level, including complex multi-country transformations, carve-outs, and major infrastructure transitions across Europe and globally. Worked in demanding, business-critical environments requiring execution at scale, stakeholder coordination, and quality- and risk-sensitive delivery

Served in corporate audit roles within Siemens headquarters IT, contributing to audits of global business units as part of a highly selective team. The work required strong analytical judgment, broad technical and organizational understanding, and the ability to assess complex international business structures. Appointment was made under the direct authority of former Siemens CEO Heinrich von Pierer.

Worked in AI and advanced computing research roles in Germany and the United States, focusing on neural networks, genetic algorithms, expert systems, and parallel computing, with industrial deployment in real-world systems. This work led to international publications, a patented machine-learning method, and practical applications in industrial environments.

Mathematik, Informatik