Salim Chujfi La Roche

2024 Professor for Business Informatics and Digital Business at the Berlin School of Economics and Law

2024 Advisor for the Deployment of Tactical Infrastructure and Artificial Intelligence in Military Operations

2021 PhD. - Human Cognition / Artificial Intelligence - Hasso-Plattner-Institute

2012 Master of Science in Technology Management - Open University Business School

2009-2024 Managing Director/Co-Founder Sabienzia Technologies GmbH

2000-2024 Managing Director/Co-Founder meexus Limited

2001-2008 Managing Director/WD Communications (Previously Infogenie Europe AG)

2000-2001 Telecommunications Engineer, Covision Informationstechnik

1997-2000 Software Engineer, Colombian Petroleum Company (ECOPETROL)

1992-1997 Systems Engineer, Universidad Autónoma, Colombia
 

Digital World, Industry 4.0 and 5.0

Digital Business and Electronic Commerce

Internet Technology and Human - Machine Applications

Strategy Development in Digital Business

Artificial Intelligence and Quantum Computing

Blockchain Technology and ESG

Internet of Things (loT) and EDGE

IT Management: Agile, SCRUM and Design Thinking

Automation, Robotics & Al Agents

Digital Business Models. Ecosystems
 

Doctoral thesis: 
Human Cognition and Natural Language Processing in the Digitally Mediated Environment
 

Led the development of natural language processing systems by implementing Recurrent Neural Networks (RNNs) and deep learning architectures, delivering scalable models for language understanding and text prediction tasks.

Architected and implemented EDGE - AI infrastructure tailored for secure, military-grade operations, emphasizing low-latency computation, autonomous decision-making, and robust field deployment under constrained conditions.

Applied psychometric methodologies to investigate human cognitive processes, integrating insights into the design of AI-human interaction systems to improve user engagement and machine adaptability.

Engineered and deployed high-frequency trading algorithms for major financial markets (Nasdaq, S&P 500), utilizing real-time data processing, quantitative analysis, and predictive modeling for optimal performance.

Designed and optimized telecommunications infrastructure, with a strong focus on VoIP architecture, advanced signal processing, and digital communication protocols to enhance system efficiency and reliability.

Conducted strategic research on emerging technologies, evaluating innovation frameworks, disruption trajectories, and associated risks to support informed decision-making in tech-driven environments.
 

[Paper] Chujfi, S. & Meinel, ACM - ECCE '14. Modeling cognitive style patterns to explore individuals’ capabilities for processing knowledge in virtual settings. Proceedings of the 2014 European Conference on Cognitive Ergonomics. https://dl.acm.org/citation.cfm?doid=2637248.2637263

[Journal] Chujfi, S. & Meinel, C. Sringer Journal of Interact Science (2015) 3: 5. Patterns to explore cognitive preferences and potential Collective Intelligence empathy for processing Knowledge in Virtual Settings. https://doi.org/10.1186/s40166-015-0006-y

[Paper] Chujfi, S. & Meinel. IEEE - ICKEA '16. Prototyping a Cognitive-Centered Model to Improve Knowledge Creation in Geographically Distributed Teams. Proceedings of the IEEE International Conference on Knowledge Engineering and Applications. https://ieeexplore.ieee.org/document/7803015

[Paper] Chujfi, S. & Meinel.  FedCSIS (KAM) '17, Design Thinking and Cognitive Science: An Exploratory Approach to Create Intellectual Capital with Decentralized Organizations. Proceedings of the Federated Conference on Computer Science and Information Systems. pp. 303–310 DOI: 10.15439/2017F232 ISSN 2300-5963 ACSIS, Vol. 13  https://annals-csis.org/Volume_13/drp/pdf/232.pdf

[Paper] Chujfi, S. & Meinel. IEEE SMC '17 Cognitive Adaptability to Optimize Online Behavior Personalizing Remote Workspaces with Help of Virtual Reality. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics.  https://ieeexplore.ieee.org/document/8122970

[Journal] Chujfi, S. & Meinel, C. Springer Journal of Knowledge, Culture and Communication (2017). Matching Cognitively Sympathetic Individual Styles to Develop Collective Intelligence in Digital Communities. https://doi.org/10.1007/s00146-017-0780-x  

[Paper] Chujfi, S. & Meinel, C. IEEE CogMI ’19. Machine Learning and Human Cognition Combined to Enhance Knowledge Discovery Fidelity. Proceedings of the IEEE International Conference on Cognitive Machine Intelligence.  https://ieeexplore.ieee.org/document/8998997

[Chapter Book] Chujfi S., Traifeh H., Staubitz T., R. Refaie, Meinel C. Springer Book Workgroups eAssessment Planning, Implementing and Analyzing Frameworks – Chapter 8, Exploring Collaboration and Assessment of Digital Remote Teams in Online Training Environments.

[Paper] Staubitz T., Chujfi S., Traifeh H., Meinel C. ACM L@S2020. Have Your Tickets Ready! Impede Free Riding and Prevent Dropouts in Large Scale Team Assignments. Seventh Annual ACM Conference on Learning at Scale.