Summary
Hiroaki Shiokawa is an associate professor at the University of Tsukuba with a decade of experience spanning database systems, distributed systems, data engineering, and data mining. He combines academic rigor from a Ph.D. at Tsukuba with industry research experience at NTT, focusing recently on efficient graph mining algorithms for large-scale graphs. His work bridges theoretical algorithm design and practical system implementation, producing a steady record of publications captured on his university and DBLP pages. Based in Chiyoda, Japan, he mentors students and leads university research while maintaining ties to industry-grade problems. Notably, his research emphasizes scalable methods that make graph mining tractable on real-world, large datasets rather than purely synthetic benchmarks.
10 years of coding experience
9 years of employment as a software developer
Master of Engineering (MEng), Master of Engineering (MEng) at 筑波大学