Pushpa Nagini Sripada
Biographic Data
| ID | 8836933 |
|---|---|
| NAME | Pushpa Nagini Sripada |
| GIVEN NAMES | Pushpa Nagini |
| FAMILY NAME | Sripada |
| SIGNATURE | SRIPADA P N |
| AFFILIATIONS | Meenakshi Academy of Higher Education and Research |
| ORCID | 0000-0002-4988-2732 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Digital Transformation of Performing Arts Management
Data-driven digital platform and management practices have caused a massive transformation to the performing art industry. The traditional systems of the performing arts management are typically manual coordinating based, minimal audience analytics and conventional means of promotion that may hinder the growth and involvement of the audience in the organization. New opportunities of efficiency and sustainability of work of performance art organiz…
Ai-Powered Music Therapy for Education
The artificial intelligence (AI) has offered new possibilities to improve the sphere of music therapy as the means of adaptive support within the educational settings. The traditional music therapy methods are useful but very stagnant and cannot be scaled and personalized. This paper suggests an adaptive music therapy program that will be driven by AI and will help individuals regulate their emotions, maintain engagement, and be ready to learn in…
Visual Arts, Technology, and Social Change
With the rapid evolution of the digital technologies, the situation related to the visual arts has significantly altered, allowing the creative process of expression to be offered in a new form and enlarging the opportunities of the art as a social activity. This multidisciplinary relationship of visual arts, technology and social change will be discussed in this paper. The paper addresses the changes of creative activities and the ability to tel…
Cultural Sustainability and Innovation in Traditional Art Forms
Traditional art forms represent the cultural identity, history, and values of communities across generations. However, globalization, modernization, and changing consumer preferences have significantly threatened the continuity of many indigenous and traditional artistic practices. Cultural sustainability has therefore become a critical area of research, emphasizing the preservation, revitalization, and transmission of traditional art forms while…
Cultural Analytics in Visual Arts
The presence of digital technologies and extensive digitization of collections of cultural heritage has established new possibilities in the use of data science approaches to the study of visual arts. Computational analysis Cultural analytics is a field of digital humanities that integrates computational analysis with large-scale art collections to explore aesthetic patterns. The study analyzes the applications of machine learning, computer visio…
Artificial Intelligence as a Creative Collaborator in Contemporary Visual and Performing Arts
The use of artificial intelligence in modern art is gaining more and more popularity; machines are able to produce visual data and be involved in creative processes. This paper examines how artificial intelligence is used as a creative partner in contemporary visual arts, specifically how generative models can support artists in the design of the concept and exploration of the artistic process. To encourage human-AI co-creation, a collaborative m…
Generative Art as Pedagogical Tool in Art Schools
Generative art has become a paradigm shift in the modern art education industry where it provides a fresh way to explore creativity by means of algorithms and human-artificial intelligence. The paper discusses generative art as a pedagogical approach in art schools, highlighting its significance in transforming an outcome-oriented production instructional approach in favor of a process-based and reflective pedagogical approach of learning. It is …
Multimodal Emotion Recognition Using Audio-Text Fusion and Transformer-Based Contextual Representation Learning
The ability of the affective computing system to recognize emotions is a major aspect of the system that allows intelligent machines to detect the emotional conditions of humans during natural conversations. The complementary affective and semantic information in human communication is usually not reflected in traditional emotion recognition methods based on one modality, e.g. speech or text. In a bid to overcome this shortcoming, the work presen…
Data-Driven Storytelling in Performing Arts
Data analytics, digital technology and interactive media has transformed the creative industries including the performing arts significantly due to its quick spread. Traditionally, storytelling has been very reliant on intuition of art as well as cultural narratives and interpretation by the audience especially in the theatre, dance and live performance field. However, the arrival of data-driven approaches has unveiled new opportunities of narrat…
Thanuja
No one can even imagine what happens in a transwoman’s life. You cannot understand us with mainstream norms, laws, culture, literature and principles. We have been betrayed by history, and our jour
No prominent works on this page.
Digital Transformation of Performing Arts Management
Data-driven digital platform and management practices have caused a massive transformation to the performing art industry. The traditional systems of the performing arts management are typically manual coordinating based, minimal audience analytics and conventional means of promotion that may hinder the growth and involvement of the audience in the organization. New opportunities of efficiency and sustainability of work of performance art organiz…
Ai-Powered Music Therapy for Education
The artificial intelligence (AI) has offered new possibilities to improve the sphere of music therapy as the means of adaptive support within the educational settings. The traditional music therapy methods are useful but very stagnant and cannot be scaled and personalized. This paper suggests an adaptive music therapy program that will be driven by AI and will help individuals regulate their emotions, maintain engagement, and be ready to learn in…
Visual Arts, Technology, and Social Change
With the rapid evolution of the digital technologies, the situation related to the visual arts has significantly altered, allowing the creative process of expression to be offered in a new form and enlarging the opportunities of the art as a social activity. This multidisciplinary relationship of visual arts, technology and social change will be discussed in this paper. The paper addresses the changes of creative activities and the ability to tel…
Cultural Sustainability and Innovation in Traditional Art Forms
Traditional art forms represent the cultural identity, history, and values of communities across generations. However, globalization, modernization, and changing consumer preferences have significantly threatened the continuity of many indigenous and traditional artistic practices. Cultural sustainability has therefore become a critical area of research, emphasizing the preservation, revitalization, and transmission of traditional art forms while…
Cultural Analytics in Visual Arts
The presence of digital technologies and extensive digitization of collections of cultural heritage has established new possibilities in the use of data science approaches to the study of visual arts. Computational analysis Cultural analytics is a field of digital humanities that integrates computational analysis with large-scale art collections to explore aesthetic patterns. The study analyzes the applications of machine learning, computer visio…
Artificial Intelligence as a Creative Collaborator in Contemporary Visual and Performing Arts
The use of artificial intelligence in modern art is gaining more and more popularity; machines are able to produce visual data and be involved in creative processes. This paper examines how artificial intelligence is used as a creative partner in contemporary visual arts, specifically how generative models can support artists in the design of the concept and exploration of the artistic process. To encourage human-AI co-creation, a collaborative m…
Generative Art as Pedagogical Tool in Art Schools
Generative art has become a paradigm shift in the modern art education industry where it provides a fresh way to explore creativity by means of algorithms and human-artificial intelligence. The paper discusses generative art as a pedagogical approach in art schools, highlighting its significance in transforming an outcome-oriented production instructional approach in favor of a process-based and reflective pedagogical approach of learning. It is …
Multimodal Emotion Recognition Using Audio-Text Fusion and Transformer-Based Contextual Representation Learning
The ability of the affective computing system to recognize emotions is a major aspect of the system that allows intelligent machines to detect the emotional conditions of humans during natural conversations. The complementary affective and semantic information in human communication is usually not reflected in traditional emotion recognition methods based on one modality, e.g. speech or text. In a bid to overcome this shortcoming, the work presen…
Data-Driven Storytelling in Performing Arts
Data analytics, digital technology and interactive media has transformed the creative industries including the performing arts significantly due to its quick spread. Traditionally, storytelling has been very reliant on intuition of art as well as cultural narratives and interpretation by the audience especially in the theatre, dance and live performance field. However, the arrival of data-driven approaches has unveiled new opportunities of narrat…
Thanuja
No one can even imagine what happens in a transwoman’s life. You cannot understand us with mainstream norms, laws, culture, literature and principles. We have been betrayed by history, and our jour
Creativity (4 works) · The arts (4 works) · Aesthetic Perception and Analysis (3 works) · Analytics (3 works) · Art, Technology, and Culture (3 works) · Cultural heritage (3 works) · Music Technology and Sound Studies (3 works) · Art Education and Development (2 works) · Big data (2 works) · Data visualization (2 works)