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Aranha Claus de Castro

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Affiliation
Faculty of Engineering, Information and Systems
Official title
Assistant Professor
ORCID
0000-0003-1390-7536
KAKEN ID
80629858
URL
Email
 
Office
SB1012, SB904
Phone
029 853 6574
Fax
029 853 6574
Research fields
Theory of informatics
Software
Research keywords
Evolutionary Algorithms
Optimization Techniques
Data Analysis
Machine Learning
Artificial Intelligence
Research projects
Heterogeneous Multi-Objective Evolutionary Algorithms for Improved CO2 Storage Monitoring2019-07 -- 2019-10Claus AranhaJapan Society for the Promotion of Science/Foreign Researcher Fellowship (Long-term)150,000Yen
Achieving Belief Models Deep Reinforcement Learning2019-06 -- 2020-03Claus AranhaUniversity of Tsukuba/Intramural Young Fusion Research Project400,000Yen
Human-Computer Collaboration for the Generation of Soccer Strategies using Multi-Agent Simulations2019-02 -- 2020-01Claus AranhaUniversity of Tsukuba and Foundation for Research Support of the State of Sao Paulo (FAPESP)/Collaborative Research and Mobility project SPRINT1,000,000Yen
Modeling of Negotiation Agent Protocol in Group Discussion2018-12 -- 2019-02Fujio ToriumiUniversity of Tsukuba Center for Artificial Intelligence Research/Applied Collaborative Research in AI500,000Yen
Development of organ-specific classifier of greenhouse-grown tomato using thermal image and RGB image2018-12 -- 2019-02Fujiuchi NaomichiUniversity of Tsukuba Center for Artificial Intelligence Research/Applied Collaborative Research in AI980,000Yen
Development of artificial intelligence base technology for automation of magnetic particle flaw detection test2018-12 -- 2019-02Kyosuke YamamotoUniversity of Tsukuba Center for Artificial Intelligence Research/Applied Collaborative Research in AI500,000Yen
Concrete Crack Detection and Identification based on Image Recognition with Machine Learning2017-04 -- 2018-03Claus AranhaUniversity of Tsukuba/Intramural Young Fusion Research Project500,000Yen
Career history
2010-10 -- 2012-01Federal University of Rio de Janeiro Post Doc Researcher
Academic background
1998-03 -- 2002-02State University of Campinas Institute of Computing Computer SciencesGraduated
2002-03 -- 2005-02State University of Campinas Institute of Computing Computer ScienceCompleted
2005-10 -- 2007-09The University of Tokyo Graduate School of Frontier Sciences Dept. of Frontier InformaticsCompleted
2007-10 -- 2010-09The University of Tokyo Graduate School of Frontier Sciences Department of Frontier InformaticsCompleted
Degree
2010-10Doctor in SciencesThe University of Tokyo
2005-03Master in Computer SciencesState University of Campinas
2007-10Master in SciencesThe University of Tokyo
Academic societies
2018-03 -- (current)Japanese Society for Evolutionary Computation
2012 -- (current)Association for Computing Machinery
2012 -- 2015Institute of Electrical and Electronics Engineers (IEEE)
Honors & Awards
2018-03Award for Educational Achievement from the Graduate School of Systems and Information Engineering
2017-12Best Paper Award
2015-03Award for Educational Achievement from the Graduate School of Systems and Information Engineering
2002ACM International Collegiate Programming Contest, South American Regional Contest, First Place
2011-03Dean's award of the Graduate School of Frontier Sciences, University of Tokyo
Articles
  • Analysis of Automatic Generated Swarm Intelligence using Grammatical Evolution
    Junior Jair Pereira; Bogdanova Anna; Aranha Claus de Castro
    16th Symposium of the Japanese Society on Evolutionary Computation, 2019-09
  • Solving Portfolio Optimization Problems Based on MOEA/D and Levy Flight
    He Yifan; Aranha Claus de Castro; 狩野均
    16th Symposium of the Japanese Society on Evolutionary Computation, 2019-09
  • A Pragmatic Investigation of the Objective Function for Subsurface Data Assimilation Problem
    Chassagne Romain; Aranha Claus de Castro
    Operations Research Perspectives/7, 2020-02
  • Using diversity as a priority function for resource allocation on MOEA/D
    Lavinas Y. C.; Aranha Claus; Sakurai Tetsuya
    GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion/pp.215-216, 2019-07
  • Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics
    Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo
    Theory and Practice of Natural Computing/pp.134-146, 2019-11
  • Research Challenges for the Automated Negotiating Agents Competition (ANAC) 2019
    Aydogan Reyhan; Baarslag Tim; Fujita Katsuhide; Mell John...
    7 th International Conference on Agreement Technologies, 2020-04
  • INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches
    Vago Nicolo; Lavinas Yuri; Rodrigues Daniele; Moura Felip...
    34th International ECMS Conference on Modeling and Simulation, 2020-06
  • A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
    Jair Pereira Junior; ARANHA CLAUS DE CASTRO; Tetsuya Sakurai
    Proc. IEEE Congress on Evolutionary Computation (CEC), 2020-07
  • MOEA/D with Random Partial Update Strategy
    Yuri Lavinas; ARANHA CLAUS DE CASTRO; Marcelo Ladeira; Fe...
    IEEE Congress on Evolutionary Computation, 2020-07
  • The MOEADr Package - A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition
    Campelo Felipe; Batista Lucas; Aranha Claus de Castro
    Journal of Statistical Software/92(6)/pp.1-39, 2020-02
  • A Pragmatic Investigation of the Objective Function for Subsurface Data Assimilation Problem
    Chassagne Romain; Aranha Claus de Castro
    Operations Research Perspectives, 2020-04
  • MOEA/D-RAD Resource Allocation by Diversity
    Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo; Sa...
    Symposium of the Japanese Society of Evolutionary Computation 2018, 2018-12
  • Comparative Study on Discrete SI Approaches to the Graph Coloring Problem
    Aranha Claus de Castro; Junior Jair Pereira; Kanoh Hitoshi
    Proceedings of Genetic and Evolutionary Computation Conference Companion (GECCO 2018)/pp.81-82, 2018-07
  • Classification of EEG Signals using Genetic Programming for Feature Construction
    Icaro Marcelino; ARANHA CLAUS DE CASTRO; Marcelo Ladeira
    Genetic and Evolutionary Computation Conference (GECCO '19), 2019-07
  • Franken-Swarm: Grammatical Evolution for the Automatic Generation of Swarm-like Meta-heuristics
    Bogdanova Anna; Junior Jair Pereira; Aranha Claus de Castro
    Genetic and Evolutionary Computation Conference Companion (GECCO '19 Companion), 2019-07
  • Negotiation in Hidden Identity: Designing Protocol for Werewolf Game
    Osawa Hirotaka; Otsuki Takashi; Aranha Claus de Castro; T...
    In Twelfth International Workshop on Agent-based Complex Automated Negotiations (ACAN2019), 2019-08
  • Experimental Analysis of the Tournament Size on Genetic Algorithms
    Aranha Claus de Castro
    IEEE International Conference on Systems, Man and Cybernetics/pp.3647-3653, 2018-10
  • Learning to Cheese: Using Genetic Algorithms to Generate Build Orders in Starcraft
    Miller Mitchel; Aranha Claus de Castro
    Entertainment Computing Symposium 2017/pp.318-322, 2017-09
  • Beauty is on the Chip of the Beholder: Teaching a Neural Network to Recognize Beautiful Handwriting
    Han Huang; Aranha Claus de Castro
    Entertainment Computing Symposium (EC2017)/pp.323-327, 2017-09
  • Understanding Multi-Objective EvolutionaryAlgorithms through Component Oriented Design
    Aranha Claus de Castro; Campelo Felipe; Batista Lucas S.
    13th Meeting of the Japanese Society of Evolutionary Computation, 2017-09
  • Information Exchange Model for Multi-Agent Earthquake/Tsunami Evacuation Simulation
    Aranha Claus de Castro; Matsushima Hiromu; Kanoh Hitoshi
    Journal of Natural Disaster Science/38(2)/pp.179-200, 2017-12
  • A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem
    Miranda Icaro; Ladeira Marcelo; Aranha Claus de Castro
    Proceedings of the IEEE Conference on Evolutionary Computation 2018, 2018-07
  • Automatic Crack Detection in Infrastructure Inspection Using Fully Convolutional Network
    木村宇任; ARANHA CLAUS DE CASTRO; 櫻井鉄也
    Information Processing Society of Japan Transactions on Modeling/11(1)/pp.12-20, 2018-03
  • Solving Facility Layout Problems Using EA with Levy Flight
    趙 冬青; アランニャ クラウス; 狩野 均
    Transaction of the Japanese Society for Evolutionary Computation/9(1)/pp.1-9, 2018
  • Solving Real-World Facility Layout Problems Using GA with Levy Flights and Multi-Decoding
    Dongqing Zhao; Aranha Claus de Castro; Hitoshi Kanoh
    Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2017-05
Books
  • Practical Applications of Evolutionary Computation to Financial Engineering: Robust Techniques for Forecasting, Trading and Hedging
    Hitoshi Iba; Claus C. Aranha
    Springer Berlin Heidelberg, 2012-03
  • Composition of Music and Financial Strategies via Genetic Programming
    Hitoshi Iba; Claus Aranha
    Genetic Programming Theory and Practice VIII, Springer New York, pp.211-226, 2011-01
  • Development of Hybrid Evolutionary Techniques to Solve Resource Allocation Problems
    ARANHA CLAUS DE CASTRO
    2010-10
  • Portfolio Management with Cost Model using Multi Objective Genetic Algorithms
    ARANHA CLAUS DE CASTRO
    2007-10
  • Auto-Diagnosis and Auto-Repair for Robots
    ARANHA CLAUS DE CASTRO
    Campinas State University, 2005-03
Conference, etc.
  • Analysis of Automatic Generated Swarm Intelligence using Grammatical Evolution
    Junior Jair Pereira; Bogdanova Anna; Aranha Claus de Castro
    16th Symposium of the Japanese Society on Evolutionary Computation/2019-09-27--2019-09-28
  • Solving Portfolio Optimization Problems Based on MOEA/D and Levy Flight
    Aranha Claus de Castro
    16th Symposium of the Japanese Society on Evolutionary Computation/2019-09-27--2019-09-28
  • Franken-Swarm: Grammatical Evolution for the Automatic Generation of Swarm-like Meta-heuristics
    Bogdanova Anna; Junior Jair Pereira; Aranha Claus de Castro
    Genetic and Evolutionary Computation Conference/2019-07-13--2019-07-17
  • Classification of EEG Signals using Genetic Programming for Feature Construction
    Miranda Icaro Marcelino; ARANHA CLAUS DE CASTRO; Ladeira ...
    Genetic and Evolutionary Computation Conference/2019-07-13--2019-07-17
  • Using Diversity as a Priority Function for Resource Allocation on MOEA/D
    Lavinas Yuri; Aranha Claus de Castro; Sakurai Testuya
    Genetic and Evolutionary Computation Conference/2019-07-13--2019-07-17
  • Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics
    Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo
    8th International Conference on the Theory and Practice of Natural Computing/2019-12-09--2019-12-11
  • A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
    Jair Pereira Junior; ARANHA CLAUS DE CASTRO; Tetsuya Sakurai
    World Congress on Computational Intelligence/2020-07-19--2020-07-24
  • MOEA/D with Random Partial Update Strategy
    Yuri Lavinas; ARANHA CLAUS DE CASTRO; Marcelo Ladeira; Fe...
    World Congress on Computational Intelligence/2020-07-19--2020-07-24
  • MOEA/D-RAD Resource Allocation by Diversity
    Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo; Sa...
    Symposium of the Japanese Society of Evolutionary Computation 2018/2018-12-08--2018-12-09
  • Comparative Study on Discrete SI Approaches to the Graph Coloring Problem
    Aranha Claus de Castro; Junior Jair Pereira; Kanoh Hitoshi
    Genetic and Evolutionary Computation Conference 2018/2018-07-15--2018-07-19
  • Artificial Bee Colonyによる時間割編成問題の解法
    呉東映; アランニャ; 狩野 均
    情報処理学会 数理モデル化と問題解決研究会/2018-12-10
  • Cuckoo Searchを用いた室内レイアウト問題の解法
    狩野 均; 澤田和磨; アランニャ クラウス
    情報処理学会 第80回全国大会 7M-06/2018-03-10
  • 類似度を用いたArtificial Bee Colonyによるグラフ色塗り問題の解法
    冨樫勇哉; アランニャ クラウス; 狩野 均
    情報処理学会 数理モデル化と問題解決研究会/2018-12-10
  • Experimental Analysis of the Tournament Size on Genetic Algorithms
    Lavinas Yuri; Aranha Claus de Castro; Sakurai Tetsuya; La...
    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)/2018-10-7--2018-10-10
  • Experimental Analysis of the Tournament Size on Evolutionary Algorithms
    Lavinas Yuri Cossich; Aranha Claus de Castro; Ladeira Mar...
    Symposium of the Japanese Society of Evolutionary Computation/2017-12-09--2017-12-10
  • Ecology-aware Evolutionary Computation Systems
    Andrade Felipe S. P.; Aranha Claus de Castro; Torres Ricardo
    Symposium of the Japanese Society of Evolutionary Computation/2017-12-09--2017-12-10
  • Understanding Multi-Objective EvolutionaryAlgorithms through Component Oriented Design
    Aranha Claus de Castro; Campelo Felipe; Batista Lucas S.
    13th Meeting of the Japanese Society of Evolutionary Computation/2017-09-01--2017-09-02
  • Learning to Cheese: Using Genetic Algorithms to Generate Build Orders in Starcraft
    Miller Mitchel; Aranha Claus de Castro
    Entertainment Computing Symposium/2017-09-16--2017-09-18
  • Beauty is on the Chip of the Beholder: Teaching a Neural Network to Recognize Beautiful Handwriting
    Han Huang; Aranha Claus de Castro
    Entertainment Computing Symposium/2017-09-16--2017-09-18
  • Continuous Optimization using Parallel Cuckoo Search with Multiple Swarms
    河面知定; ARANHA CLAUS DE CASTRO; 狩野 均
    The 80th National Convention of IPSJ/2018-03-13--2018-03-15
  • Solving the Room Layout Problem using Cuckoo Search
    澤田和磨; ARANHA CLAUS DE CASTRO; 狩野 均
    The 80th National Convention of IPSJ/2018-03-13--2018-03-15
  • Comparative Study on Discrete SI Approaches to the Graph Coloring Problem
    Aranha Claus de Castro; Junior Jair Pereira; Kanoh Hitoshi
    Annual Genetic and Evolutionary Computation Conference/2018-07-15--2018-07-19
  • A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem
    Miranda Icaro; Ladeira Marcelo; Aranha Claus de Castro
    IEEE World Congress on Computational Intelligence/2018-07-08--2018-07-13
  • Solving Real-World Facility Layout Problems Using GA with Levy Flights and Multi-Decoding
    Dongqing Zhao; Aranha Claus de Castro; Hitoshi Kanoh
    18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing/2017-05-24--2017-05-26
  • Solving the Graph Coloring Problem using Cuckoo Search
    Aranha Claus de Castro; Toda Keita; Kanoh Hitoshi
    The Eight International Conference on Swarm Intelligence/2017-07-27--2017-08-01
Works
  • Package MOEADr - A Modular MOEAD library for R
    Aranha Claus de Castro; Campelo Felipe; Batista Lucas
Teaching
2020-10 -- 2021-02Directed Research in Computer Science BUniversity of Tsukuba.
2020-10 -- 2021-02Research in Computer Science IIUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer Science IIUniversity of Tsukuba.
2020-04 -- 2020-08Directed Research in Computer Science AUniversity of Tsukuba.
2020-10 -- 2021-02Research in Computer ScienceUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer ScienceUniversity of Tsukuba.
2020-04 -- 2020-08Software and Computing Science Laboratory AUniversity of Tsukuba.
2020-04 -- 2020-06Programming ChallengesUniversity of Tsukuba.
2020-10 -- 2021-02Research in Computer Science IUniversity of Tsukuba.
2020-04 -- 2020-08Research in Computer Science IUniversity of Tsukuba.
Other educational activities
2019-07 -- 2019-07Tokyo Tokai Academy AI Intensive CourseUniversity of Tsukuba Center for Artificial Intelligence Research
2019-05 -- 2019-07JAXA AI Intensive CourseUniversity of Tsukuba Center for Artificial Intelligence Research
2019-02 -- 2019-02Data Science From Zero Extension ProgramUniversity of Tsukuba, Division of Social Outreach
2019-10 -- 2019-10STEMinars 2019University of Tsukuba, Division of Social Cooperation
2018-09 -- 2018-09STEMinars 2018University of Tsukuba, Division of Social Cooperation
2017-09 -- 2017-09STEMinars 2017University of Tsukuba, Division of Social Cooperation
2014-04 -- (current)Short Term Internship with Bordeaux University TSSP ProgramUniversity of Tsukuba College of Information Sciences
2015-11 -- 2015-11Outreach Lecture at the Super Science High School Project in IwakiUniversity of Tsukuba
2016-09 -- 2016-09STEMinars 2016University of Tsukuba
2015-09 -- 2015-09STEMinars 2015University of Tsukuba
Professional activities
2019-06 -- (current)Automated Negotiating Agents Competition Organizing CommitteeMember
2018-12 -- (current)AIWolf ProjectMember
2016-04 -- (current)ICPC Japan Regional Contest Organizing ComitteeMember
University Management
2019-04 -- (current)Computer Science Department, International Cooperation OfficeMember
2018-04 -- (current)COINS Public Relation OfficeMember
2015-04 -- (current)Sao Paulo Office Promotion ComitteeMember
2015-04 -- (current)Central and South American Exchange Coordinator OfficeMember
2015-04 -- 2016-03Internship Promotion OfficeMember
2012-02 -- (current)CS English Program Promotion OfficeMember
2013-04 -- (current)Student Support OfficeMember
2013-04 -- 2015-03Promotion Office (CS)Member
Other activities
2014-04 -- (current)Coordinator of the Short Term exchange student program with Bordeaux University
Message
I'm generally interested in researching applications of Evolutionary Algorithms (GA, GP) to hard problems. My current projects are the optimization of Earthquake Models, Oil Reservoir Models and Medical Data Clustering using evolutionary algorithms. I am also interested in the study of Social Implications of computer sciences, Applications of Artificial Intelligence in Games, and Scientific Methodology for Computer Science research.

(Last updated: 2020-08-26)