Rchr
J-GLOBAL ID：200901065480524678   Update date: Sep. 29, 2024

Tanev Ivan

イヴアン タネヴ | Tanev Ivan
Affiliation and department：
Doshisha University Faculty of Science and Engineering Department of Information Systems Design

About Doshisha University Faculty of Science and Engineering Department of Information Systems Design


Job title： Professor
Homepage URL  (1)： http://isd-si.doshisha.ac.jp/itanev/
Research field  (1)： Robotics and intelligent systems
Research keywords  (5)： 遺伝的プログラミング ,  Multi-agent Systems ,  Adaptation ,  Emergence ,  Genetic Programming
Research theme for competitive and other funds  (12)：
  • 2023 - 2026 Clinical Wisdom-Oriented Community Systems Design
  • 2017 - 2020 Visualization and Management of Relationality Assets as Trust for Rebuilding Community
  • 2010 - 2012 複数の小型ロボットを用いた協調的・多細胞型の行動進化の研究
  • 2008 - 2011 Automated Evolutionary Design of Driving Agent
  • XML-based Genetic Programming Framework
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Papers (168)：
  • Madoka Takahara, Hidetsugu Suto, Ivan Tanev, Katsunori Shimohara. Sleep Visualization through Indirect Biofeedback for Patients' Behavioral Changes and Sleep Quality. IEEJ Transactions on Electronics, Information and Systems. 2022. 142. 6. 637-642
  • Takahara Madoka, Suto Hidetsugu, Tanev Ivan, Shimohara Katsunori. Sleep Visualization through Indirect Biofeedback for Patients' Behavioral Changes and Sleep Quality. IEEJ Transactions on Electronics, Information and Systems. 2022. 142. 6. 637-642
  • Satoko Yoshida, Madoka Takahara, Erina Makihara, Ivan Tanev, Katsunori Shimohara. Interactive Reading Note Generation Utilizing Gaze Information. Human Interface and the Management of Information: Visual and Information Design. 2022. 516-527
  • Satoko Yoshida, Madoka Takahara, Ivan Tanev, Katsunori Shimohara. Possibility of Reading Notes as Media to Enrich Communications Between Reader and Book. Human Interface and the Management of Information. Information Presentation and Visualization. 2021. 113-124
  • Akinori Sato, Ivan Tanev, Katsunori Shimohara. Automatic detection of ironic expressions based on the Implicit Display Theory. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). 2020
ｍore...
MISC (66)：
  • 平山太一, 岡田優花, 岡田優花, 木本充彦, 木本充彦, 飯尾尊優, 飯尾尊優, 塩見昌裕, TANEV Ivan, 下原勝憲, et al. Effect of Movement Speed to Contact by Robot on Impression. 知能システムシンポジウム講演資料(CD-ROM). 2022. 49th (Web)
  • 大畠 俊明, 高原 まどか, 槇原 絵里奈, Ivan Tanev, 下原 勝憲. テレイグジスタンスとソーシャルテレプレゼンスを促進させる遠隔教育支援システムの構築 : 2種類の頭部動作検出手法の提案-To Establish Distance Education Support System to Enhance Telexistence and Social Presence of Long-term Hospitalized Children : Propose two recognition system of head motion-学習・教授システムの開発・利用/一般. 日本教育工学会研究報告集 = Research report of JSET Conferences. 2020. 20. 1. 5-10
  • 松葉俊樹, 高原まどか, TANEV Ivan, 下原勝憲. Effectiveness of Biofeedback Prior to Sleep for Improving Sleep Habit. 知能システムシンポジウム講演資料(CD-ROM). 2020. 47th
  • 吉田智子, 高原まどか, TANEV I., 下原勝憲. Automatic Creation of Reading Notes: Identifying Reading Patterns by Gaze Information During Reading. 知能システムシンポジウム講演資料(CD-ROM). 2020. 47th
  • 田中鏡月, 塩屋諒, 米崎克彦, 塩津ゆりか, TANEV I., 下原勝憲. Multi-Agent Simulation of Dynamic Gift and Circulation Model. 知能システムシンポジウム講演資料(CD-ROM). 2020. 47th
ｍore...
Patents (6)：
  • ドライバーの注意力低下推定装置および方法
  • 不適切な認知的負荷の推定方法、ドライバーの注意喚起方法および警告装置
  • ドライバーの触覚改善方法および振動パッド
  • Apparatus and Method for Estimating the inadequate Attention Level of Drivers
  • Method for Estimating Inadequate Cognitive Load for Early Warning of Drivers
ｍore...
Books (4)：
  • Multi-Agent Systems - Modeling, Interactions, Simulations and Case Studies: Evolutionary Adaptive Behavior in Noisy Multi-agent System
    2011
  • Learning Mutation Strategies for Evolution and Adaptation of a Simulated Snakebot
    Springer 2007
  • Mobile Robots, Moving Intelligence; On the Analogy in the Emergent Properties of Evolved Locomotion Gaits of Simulated Snakebot
    2006
  • Evolvable Machines: Theory & Practice, Series: Studies in Fuzziness and Soft Computing; Evolution, Robustness and Adaptation of Sidewinding Locomotion of Simulated Snake-like Robot
    Springer 2005
Lectures and oral presentations  (2)：
  • Invited Lecture Course: Introduction to Genetic Programming
    (University of Sofia, Bulgaria 2011)
  • XML-based Genetic Programming Framework: Design Philosophy, Implementation and Applications
    (2010)
Works (1)：
  • Inferring Human Behavior in Power Grid Systems via Genetic Algorithms @ CSIRO, Sydney, Australia
    2010 -
Education (6)：
  • - 2001 Muroran Institute of Technology
  • - 2001 Dr.Eng., Muroran Institute of Technology
  • - 1993 サンクトペテルブルグ電気技術大学 コンピューター技術科
  • - 1993 Ph.D., Saint-Petersburg State Electrotechnical University
  • - 1987 レニングラード電気技術大学 コンピューター技術科
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Professional career (2)：
  • Doctor of Engineering (Muroran Institute of Technology)
  • Ph.D. (Saint-Petersburg State Elctrotechnical University, Sankt Peterburg, Russia)
Work history (7)：
  • 2006 - 現在 Doshisha University
  • 2004 - 2006 Doshisha University
  • 2002 - 2004 Advanced Telecommunications Research Institute International
  • 2001 - 2002 SPI Co.Ltd., Software Developer
  • 1994 - 1997 Bulgarian National Electricity Company, System Administrator, Senior Software Developer
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Committee career (1)：
  • IEEE Computational Intelligence Society Games Technical Committee Committee Member
Awards (7)：
  • 2018 - Winner of the Best Paper Award at the The 18th International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA 2018), Varna, Bulgaria
  • 2005 - Best Paper Award Nomination at the 8th European Conference on Genetic Programming (EuroGP-2005), Lausanne, Switzerland
  • 2005 - Winner of the computer-controlled car racing competition at the 2005 IEEE Congress on Evolutionary Computation, Edinburgh, UK
  • 2005 - Best Paper Award Nomination at the 8th European Conference on Genetic Programming (EuroGP-2005), Lausanne, Switzerland
  • 2004 - Best Paper Award Nomination at the 2004 IEEE Congress on Evolutionary Computation, Portland, Oregon, USA
Show all
Association Membership(s) (3)：
ACM Special Interest Group for Genetic and Evolutionary Computation (SIGEVO) ,  ACM Special Interest Group for Genetic and Evolutionary Computation (SIGEVO) ,  IEEE Computational Intelligence Society Games Technical Committee
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