Guilherme Nakahata

Resume

tags: research, publications, optimization, combinatorial-optimization, evolutionary-computation, metaheuristics, machine-learning, multi-agent-systems
@GuilhermeNakahata 12/05/2025

Research Summary

My research focuses on highly constrained combinatorial optimization problems. I investigate how infeasible regions can provide structural information to guide search processes, combining fitness landscape analysis, metaheuristics, and multi-agent systems.

Conference Papers

2026

A Constructive Method to Build Many Valid Initial Solutions for the Traveling Tournament Problem

Guilherme Nakahata, F. Richoux, D. van den Berg, C. Aranha EvoApplications (EvoApps) — Toulouse, France, 2026

PDF · DOI: 10.1007/978-3-032-23607-4_27 · Repository

Bons-AI: An Agent-Based Model to Evaluate the Behavior of Bonsai Grower According to Different Levels of Communication and Experience

S. Satake, Guilherme Nakahata, C. Aranha International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Cyprus, 2026

PDF · DOI: 10.65109/UHQU6299 · Repository

Decision-Making Policies under Stigmergic Communication: A Pheromone-Based Multi-Agent Study

A Pheromone-Based Multi-Agent Study S. Satake, Guilherme Nakahata, C. Aranha IEEE World Congress on Computational Intelligence (WCCI-CEC), 2026

PDF · DOI: placeholder · Repository

Bioinspired strategy for coordinating multiple unmanned aerial vehicles for surveillance tasks

S. Satake, Guilherme Nakahata, R. Calvo IEEE World Congress on Computational Intelligence (WCCI-CEC), Netherlands, 2026

PDF · DOI: placeholder · Repository


2025

Bird Apprehension Forecasting with XGBoost

F. Diniz, J. Luis, Guilherme Nakahata Computer on the Beach — Florianópolis, Brazil, 2025

PDF · DOI: 10.14210/cotb.v16.p154-159


2023

Metaheuristic VNS applied to the crew rostering problem in the intercity and interstate public transport

Guilherme Nakahata, L. Saviniec, A. Constantino Brazilian Symposium on Operations Research (SBPO) — São José dos Campos, Brazil, 2023

PDF · DOI: 10.59254/sbpo-2023-174797


2020

Bonsai Style Classification: A New Database and Baseline Results

Guilherme Nakahata, A. Constantino, Y. Maldonado IEEE International Symposium on Multimedia (ISM) — Naples, Italy, 2020

PDF · DOI: 10.1109/ISM.2020.00025 · Repository

Education

  • PhD in Computer Science, University of Tsukuba (2025–Present)

  • M.Sc. in Computer Science, State University of Maringá (2022)

  • B.Sc. in Computer Science, State University of Paraná (2019)

Academic & Research Experience

  • Research Assistant, AIST (2025–Present)

  • Teaching Assistant (CS Seminar), University of Tsukuba (2025–Present)

  • Research Student, University of Tsukuba (2024–2025)

  • Substitute Assistant Professor, UNESPAR (2023–2024)

  • Assistant Professor, Apucarana University (2023)

International Collaborations

  • Collaboration with Manna Team (Brazil) – Research project funded by Araucaria Foundation (2026-Present

Scholarships

  • MEXT Scholarship (Japan), 2024–Present

  • CAPES Scholarship (Brazil), 2020–2022