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Indira Priyadarsani Pradhan

Biographic Data

ID8967479
NAMEIndira Priyadarsani Pradhan
GIVEN NAMESIndira Priyadarsani
FAMILY NAMEPradhan
SIGNATUREPRADHAN I P
AFFILIATIONSNoida International University
VERIFIEDNo
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Human–ai Co-Creation Models in Conceptual Art

    Open Access•Suhas Bhise, Indira Priyadarsani Pradhan et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2026

    Human-ai co-creation is an important paradigm in the modern conceptual art, whereby ideas, processes and systems are prioritized over material form. This paper explores formal frameworks of human-AI collaborative creation and the way that AI is transforming the notions of authorship, intentionality, and creative agency in the context of conceptual practice. The paper is based on the conceptual art theory and co-creativity frameworks of the human-…

  • Reinforcement Learning in Musical Improvisation

    Open Access•Thara P Thara P, P Thara et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    As a synthesis of real-time choices, awareness of style and expressiveness, musical improvisation is a complicated creative process. Implementing a conventional generative music system that uses supervised learning will tend to favor the approach that is only adaptive and exploratory of the approach used in improvisational performance. The paper explores how reinforcement learning (RL) can be applied to musical improvisation and presents the task…

  • Reinventing Art Criticism in the Ai Era

    Open Access•M Maheswari, M Maheswari M Maheswari et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The fast-growing generative artificial intelligence has redefined the modern-day artistic production, casting searching questions on creativity, authorship and the place of criticism. In this paper, the author suggests a general framework of an algorithmically literate art critique and explains why the traditional interpretive models based on the material analysis, biographical intention, and specific media are not adequate to analyze AI-generate…

  • Ai in Modern Printing Design and Production

    Open Access•Meghana Bhilare, Balasaheb Balkhande et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    With the adoption of Artificial Intelligence (AI) into the contemporary printing designing and printing processes, the conventional processes involved in the printing industry have approached novel avenues of creativity, efficiency, and precision, unlike before. In the past, printing has been developed and transformed by the manual process of printing such as the letter press and lithography to entirely automated digital printing. Nowadays, AI is…

  • Predicting Exhibition Success With Neural Networks

    Open Access•Itishree Pradhan, Indira Priyadarsani Pradhan et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The forecast of art and cultural exhibition success has become more of a concern to galleries, museums, and creative institutions aiming at data-driven methods to increase audience attendance, utilize resources to capacity and improve financial performance. Conventional methods of statistics do not provide much potential to model multifaceted, nonlinear relationships between the various factors, including visitor behaviour, marketing impact, soci…

  • Robotic Carving and Its Pedagogical Implications

    Open Access•Avni Garg, Pooja Pooja et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Robotic carving is fast transforming the modern day activities in the fields of design, engineering, and creative arts by combining computer accuracy with the physical exploration in materials. The technological, educational and pedagogical aspects of robotic carving are discussed in the paper and it is argued that robotic carving is a game changer in the experimental learning. First, it provides a description of the fundamental elements, working…

No prominent works on this page.

  • Reinforcement Learning in Musical Improvisation

    Open Access•Thara P Thara P, P Thara et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    As a synthesis of real-time choices, awareness of style and expressiveness, musical improvisation is a complicated creative process. Implementing a conventional generative music system that uses supervised learning will tend to favor the approach that is only adaptive and exploratory of the approach used in improvisational performance. The paper explores how reinforcement learning (RL) can be applied to musical improvisation and presents the task…

  • Reinventing Art Criticism in the Ai Era

    Open Access•M Maheswari, M Maheswari M Maheswari et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The fast-growing generative artificial intelligence has redefined the modern-day artistic production, casting searching questions on creativity, authorship and the place of criticism. In this paper, the author suggests a general framework of an algorithmically literate art critique and explains why the traditional interpretive models based on the material analysis, biographical intention, and specific media are not adequate to analyze AI-generate…

  • Ai in Modern Printing Design and Production

    Open Access•Meghana Bhilare, Balasaheb Balkhande et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    With the adoption of Artificial Intelligence (AI) into the contemporary printing designing and printing processes, the conventional processes involved in the printing industry have approached novel avenues of creativity, efficiency, and precision, unlike before. In the past, printing has been developed and transformed by the manual process of printing such as the letter press and lithography to entirely automated digital printing. Nowadays, AI is…

  • Predicting Exhibition Success With Neural Networks

    Open Access•Itishree Pradhan, Indira Priyadarsani Pradhan et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The forecast of art and cultural exhibition success has become more of a concern to galleries, museums, and creative institutions aiming at data-driven methods to increase audience attendance, utilize resources to capacity and improve financial performance. Conventional methods of statistics do not provide much potential to model multifaceted, nonlinear relationships between the various factors, including visitor behaviour, marketing impact, soci…

  • Robotic Carving and Its Pedagogical Implications

    Open Access•Avni Garg, Pooja Pooja et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Robotic carving is fast transforming the modern day activities in the fields of design, engineering, and creative arts by combining computer accuracy with the physical exploration in materials. The technological, educational and pedagogical aspects of robotic carving are discussed in the paper and it is argued that robotic carving is a game changer in the experimental learning. First, it provides a description of the fundamental elements, working…

  • Human–ai Co-Creation Models in Conceptual Art

    Open Access•Suhas Bhise, Indira Priyadarsani Pradhan et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2026

    Human-ai co-creation is an important paradigm in the modern conceptual art, whereby ideas, processes and systems are prioritized over material form. This paper explores formal frameworks of human-AI collaborative creation and the way that AI is transforming the notions of authorship, intentionality, and creative agency in the context of conceptual practice. The paper is based on the conceptual art theory and co-creativity frameworks of the human-…

Aesthetic Perception and Analysis (3 works) · Art, Technology, and Culture (2 works) · Generative grammar (2 works) · Music Technology and Sound Studies (2 works) · 3D printing (1 work) · Architecture and Computational Design (1 work) · Architecture, Art, Education (1 work) · Art criticism (1 work) · Artificial neural network (1 work) · Automation (1 work)

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