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S Balakrishnan S Balakrishnan

Biographic Data

ID10131998
NAMES Balakrishnan S Balakrishnan
GIVEN NAMESS Balakrishnan S
FAMILY NAMEBalakrishnan
SIGNATUREBALAKRISHNAN S B S
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Management of Online Art Education Platforms

    Open Access•Priyadarshani Singh, Pratik Singh et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Ecosystems of online art education have become rich online spaces, combining creative pedagogy and smart technology and data-driven management. The research explores a global governance and operational system that combines artificial intelligence and cloud services with ethical policies to provide more accessibility, quality, and sustainability in the learning of digital art. The study identifies the use of human-AI hybrids in enhancing the learn…

  • Deep Learning Models for Choreography Generation

    Open Access•Afroj Alam, Sadhana Sargam et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Due to the rapid development of deep learning, the new opportunities of computational production of human movement have been opened, especially in the field of dance choreography. The paper discusses deep learning choreography generators that combine movement information, music framework, and time in order to create expressive and sensible sequences of dances. Conventional choreography models tend to have a handmade regulation or professionalized…

  • Using Ai to Personalize Creative Learning Paths

    Open Access•Vivek Kumar, S Balakrishnan et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The fast development of artificial intelligence has created additional opportunities to create highly adaptive and creativity-based learning environments. The paper proposes an AI-based framework of customizing the creative learning trajectory by means of incorporating cognitive modeling, profiling of the learners, and active content-adaptation. In contrast to conventional, static learning systems, the proposed one examines multimodal learner dat…

No prominent works on this page.

  • Management of Online Art Education Platforms

    Open Access•Priyadarshani Singh, Pratik Singh et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Ecosystems of online art education have become rich online spaces, combining creative pedagogy and smart technology and data-driven management. The research explores a global governance and operational system that combines artificial intelligence and cloud services with ethical policies to provide more accessibility, quality, and sustainability in the learning of digital art. The study identifies the use of human-AI hybrids in enhancing the learn…

  • Deep Learning Models for Choreography Generation

    Open Access•Afroj Alam, Sadhana Sargam et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Due to the rapid development of deep learning, the new opportunities of computational production of human movement have been opened, especially in the field of dance choreography. The paper discusses deep learning choreography generators that combine movement information, music framework, and time in order to create expressive and sensible sequences of dances. Conventional choreography models tend to have a handmade regulation or professionalized…

  • Using Ai to Personalize Creative Learning Paths

    Open Access•Vivek Kumar, S Balakrishnan et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The fast development of artificial intelligence has created additional opportunities to create highly adaptive and creativity-based learning environments. The paper proposes an AI-based framework of customizing the creative learning trajectory by means of incorporating cognitive modeling, profiling of the learners, and active content-adaptation. In contrast to conventional, static learning systems, the proposed one examines multimodal learner dat…

Creativity (2 works) · Accountability (1 works) · Accreditation (1 works) · Adaptive Learning (1 works) · Artificial Intelligence in Games (1 works) · Artistic and Creative Research (1 works) · Choreography (1 works) · Cloud computing (1 works) · Cognition (1 works) · Computational Creativity (1 works)

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