Jerry Lacmou Zeutouo

Jerry Lacmou Zeutouo is a Lecturer in the field of Networks and Data at Université de Picardie Jules Verne (UPJV), contributing to computer science research through advanced algorithm development and optimization. His work primarily focuses on parallel computing, dynamic programming, and computational biology.

• Academic Rank: Lecturer at UPJV
• Institution: Université de Picardie Jules Verne

Research Interests: Dr. Zeutouo specializes in designing and optimizing parallel algorithms for dynamic programming and database security. His research spans:

• Coarse-Grained Multicomputer (CGM) architectures
• K-anonymity in distributed databases
• RNA folding and bioinformatics applications
• Longest Common Subsequence (LCS) constraints

Publication Trends: His work emphasizes solving computational bottlenecks via parallelism, particularly in cloud environments, bioinformatics, and database security. Key themes include:

• Transformer-based models for cold start mitigation in FaaS
• Multicomputer algorithms for dynamic programming
• Four-splitting and Four-Russians techniques for optimization