Yasuo MATSUYAMA completed a doctor course of Waseda University in 1974 by studying mathematical modeling of stochastic pulse frequency modulation in neurons and neuron populations (Dr. Engineering, 1974). In the last year of his graduate school, he was awarded the Japan-US Personnel Exchange Fellowship, by the Japan Society for the promotion of Science, towards the doctoral program at Stanford University. At the Information Systems Laboratory of Stanford, he presented a distortion measure theory on stochastic processes and vector quantization algorithms (1974-78; a research assistant in 77-78; Ph.D., 1978).

On returning to his country, he was affiliated with the Research Institute of Science and Engineering at Waseda (Staff, 1978-79), and Ibaraki University ({Assistant, Associate, Full} Professor; 1978-79,79-85,85-96). There, he presented efficient low-bit-rate data compression algorithms (Telecommunication Systems Technology, Promotion Award, 1989). Then, these algorithms made a great progress unified with the methods of learning and self-organizations. This unification expanded their application areas including large-scale combinatorial optimization problems by giving fast and good approximate solutions (Best Paper Award of IEICE, 1992).

Since 1996, he has been with the School of Science and Engineering, Waseda University as a full professor. Currently, he is at the Department of Computer Science. At Waseda, he authored papers on the self-organization, harmonic competition and multiple descent cost competition with applications to multimedia information processing. Such a series of achievements lead to the IEEE Fellow Award(1998) and IEEE Transactions on Neural Networks Outstanding Paper Award(2001).

Guided by the above experience, he found the alpha-EM algorithm (Expectation-Maximization) which includes the traditional log-EM as an ultimate learning algorithm. This lead to the Telecommunication Systems Technology Major Award, 2001. Similarly to this method, he obtained the convex divergence ICA algorithm (Independent Component Analysis) called the f-ICA. The f-ICA algorithm made human brain's complex fMRI data analysis (functional Magnetic Resonance Imaging) possible by a personal computer.

In 2002, he was awarded the title of IEICE Fellow for his outstanding contributions to data compression, self-organization and learning algorithms.

The field of computational intelligence and learning algorithms is essential for the creation of sophisticated contents and advanced human interfaces. This area is highly related to agents and networking. VLIS realization is also possible.

From 2002 to 2007, he has been working as a core member of the 21st Century COE Program (Productive ICT Academia). From 2003, he applied the convex-divergence ICA to bioinformatics, especially, the conserved region recognition on DNA, RNA and amino-acid sequences for prokaryotes and eukaryotes. The best scores were obtained.

In 2004, he applied the computational intelligence theory to networked two-leg humanoid via machine-independent method. This led to the APNNA Best Paper Award for Application Oriented Research.

In 2006, he received the LSI IP Award for the invention of a novel interleaver for turbo coding.

From 2008 to 2012, Yasuo MATSUYAMA has been working as a core member of the Global COE Program (Ambient SoC).

In 2008, he devised an integration system of body motions, brain signals of non-invasive measurement and bipedal humanoids. "Thinking-alone" was equipped therein. This was a very early establishment of non-verbal HCI system by PCs. In 2009, a set of neural spike trains which is a representative of invasive brain information was also incorporated. This was the first trial on the conversion of a primary's visual information to humanoid motions.

In the term from 2010 to 2011, he succeeded in the derivation of the α-HMM estimation algorithm from theα-EM algorithm. Theα-HMM estimation algorithm is a pure generalization and a faster version of the Baum-Welch algorithm. In addition to this, he invented the RapidICA (rapid independent component analysis) which outperforms the FastICA.

From 2011, Prof. Matsuyama assumes the position of the director of the Media Network Center of Waseda University. Therein, he was in charge of the safety inquiry of 65,000 students, staffs and faculties at the East Japan Earth quake and Tsunami.

Continued latest years.