معرفی
Olufemi Odegbile is an Assistant Professor in Computer Science at Clark University, specializing in network algorithms and distributed systems. His research develops novel solutions for traffic measurement and data streaming in high-speed networks.
Recent work focuses on virtual filtering techniques for non-duplicate sampling, super spreader identification, and noise reduction in streaming algorithms. He investigates hierarchical approaches to network monitoring that optimize memory allocation while maintaining measurement accuracy.
His publications demonstrate consistent innovation in adapting probabilistic data structures like Bloom filters and CountMin sketches for modern networking challenges. Experimental validations frequently address real-world constraints in edge-cloud computing environments and legacy network infrastructures.
