Profile[en,ja]

Kazuhiro HISHINUMA

Kazuhiro HISHINUMA, MSc.

Research Fellow of Japan Society for the Promotion of Science,
Doctoral Course Student at Meiji University, Japan.

mailto: kazemail-suffix (keybase); ORCID, GNU Social.

Current Specialized Field

Continuous optimization theory (convex and quasi-convex optimization; distributed optimization), fixed point theory.

Academic & Professional Experience

Apr. 2017-
Research Fellow of Japan Society for the Promotion of Science.

Education

Mar. 2015
BSc, Department of Computer Science, School of Science and Technology, Meiji University.
Mar. 2017
MSc, Computer Science Course, The Fundamental Science and Technology Program, Graduate School of Science and Technology, Meiji University.

Publications in Refereed Journals

  1. S. Iemoto, K. Hishinuma, H. Iiduka: Approximate Solutions to Variational Inequality over the Fixed Point Set of a Strongly Nonexpansive Mapping, Fixed Point Theory and Applications, 2014:51, 2014. [BiBTeX, Open Access]
  2. H. Iiduka, K. Hishinuma: Acceleration Method Combining Broadcast and Incremental Distributed Optimization Algorithms, SIAM Journal on Optimization, Vol. 24, Issue 4, pp. 1840-1863, 2014. [BiBTeX, DOI, PDF]
  3. K. Hishinuma, H. Iiduka: Parallel Subgradient Method for Nonsmooth Convex Optimization with a Simple Constraint, Linear and Nonlinear Analysis, Vol. 1, No. 1, pp. 67-77, 2015. [BiBTeX, Open Access]
  4. K. Hishinuma, H. Iiduka: On Acceleration of the Krasnosel’skii-Mann Fixed Point Algorithm Based on Conjugate Gradient Method for Smooth Optimization, Journal of Nonlinear and Convex Analysis, Vol. 16, No. 11, pp. 2243-2254, 2015. [BiBTeX, Open Access]

Proceedings

  1. K. Hishinuma, H. Iiduka: Parallel Computing Method for Nonsmooth Convex Optimization, RIMS Kôkyûroku, No. 1963-11, pp. 71-77, 2015. [BiBTeX, CiNii, Open Access]

Conference Activities & Talks

  1. K. Hishinuma, H. Iiduka: Parallel Algorithm for Nonsmooth Convex Optimization, the International Workshop on Nonlinear Analysis and Convex Analysis, 2014.
  2. K. Hishinuma, H. Iiduka: On Parallel Computing Method for Nonsmooth Convex Optimization, The 2014 Fall National Conference of Operations Research Society of Japan, 2014.
  3. K. Hishinuma, H. Iiduka: Acceleration approach for parallel subgradient method based on line search, The 2016 Fall National Conference of Operations Research Society of Japan, 2016.
  4. K. Hishinuma, H. Iiduka: Flexible stepsize selection of subgradient methods for constrained convex optimization, the 10th Anniversary Conference on Nonlinear Analysis and Convex Analysis, 2017.
  5. K. Hishinuma, H. Iiduka: Quasi-subgradient method for quasiconvex minimization problem with fixed point constraints, the RIMS Workshop on Development of Mathematical Optimization: Modeling and Algorithms, 2017.
  6. K. Hishinuma, H.Iiduka: Iterative method for solving constrained quasiconvex optimization problems based on the Krasnosel'skiĭ-Mann fixed point approximation method, RIMS Workshop on Nonlinear Analysis and Convex Analysis, 2017.

Rewards and Punishments

Nov. 2015
37th Place, the 2015 ACM-ICPC Asia Tsukuba Regional Contest.
Jul. 2015
The Award for Nineteenth Place in Domestic Contest 2015 for ACM-ICPC Asia Tsukuba Regional Contest.
Mar. 2015
The Award for a Graduate with Excellent School Records, Meiji University Alumni Association.

Licenses

May 2013
Fundamental Information Technology Engineer, Information-technology Promotion Agency (IPA), Japan.
Aug. 2006
Amateur Fourth-Class Radio Operator, Kanto Bureau of Telecommunications, Japan.

Association Memberships

the Operations Research Society of Japan, Information Processing Society of Japan.

Contact

Kazuhiro HISHINUMA,
Mathematical Optimization (Hideaki Iiduka) Lab.,
Department of Computer Science, Meiji University
1-1-1 Higashimita, Tama-ku, Kawasaki-shi, Kanagawa 214-8571 Japan.
(Tel: +81-44-934-7484, Web: https://www.mo.cs.meiji.ac.jp/en/)

mailto: kazemail-suffix