Leena Deshpande
Biographic Data
| ID | 8969493 |
|---|---|
| NAME | Leena Deshpande |
| GIVEN NAMES | Leena |
| FAMILY NAME | Deshpande |
| SIGNATURE | DESHPANDE L |
| AFFILIATIONS | International Institute of Information Technology |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
D Printing Innovations Reshaping Traditional Sculptural Methods in Contemporary Visual Culture
The whole process of sculpture has been transformed significantly with the invention of the 3D printing technology, and has re-evaluated the relation of art, material or digital innovation and provided more significance to the contemporary visual culture. The paper examines how additive manufacturing affects the traditional sculpture in that it presents new ways of creativity, precision and effectiveness in production. It begins with discussing t…
Rhythms of Heritage
Folk music is a cultural reminiscence, social ideals, and historical records of people, but numerous traditions are struggling with the issue of continuity in the environment of globalization and shifting musical realities. This article discusses how modern jazz improvisation has been used as a creative and culturally sensitive tool to maintain and recontextualize folk music traditions. Instead of seeing preservation as a conservation that is unc…
Human–ai Collaboration in Reviving Folk Traditions
The transformative aspects of human-AI cooperation in people preservation and revival of folk tradition, including music, visual art, and storytelling, are addressed in this paper. As more creative industries embrace the role of artificial intelligence, this paper explores the ways in which AI tools can support human knowledge to maintain cultural heritage and at the same time guarantee authenticity and community involvement. The study relies on …
Deep Reinforcement Learning for Dance Pose Optimization
Deep Reinforcement Learning (DRL) has become an effective framework of sequential decision-making in high-dimensional and complex control problems, but little has been done to apply it to expressive human movement. This work is a unified DRA algorithm to optimize a dance pose, which an intelligent agent is trained to produce the smooth and stable dance pose and aesthetically compose a pose in a simulated kinematic environment. Generation of dance…
Human–computer Interaction Models in Art Pedagogy
Incorporation of the Human-Computer Interaction (HCI) models in the art pedagogy has changed the way learners interact with the digital creativity with the focus on the interactive, experiential and multimodal approaches to the artistic education. This paper discusses the role of cognitive and behavioral modeling in the HCI models in improving the digital art learning conditions using adaptive and feedback-based systems. The study is based on the…
No prominent works on this page.
Human–ai Collaboration in Reviving Folk Traditions
The transformative aspects of human-AI cooperation in people preservation and revival of folk tradition, including music, visual art, and storytelling, are addressed in this paper. As more creative industries embrace the role of artificial intelligence, this paper explores the ways in which AI tools can support human knowledge to maintain cultural heritage and at the same time guarantee authenticity and community involvement. The study relies on …
Deep Reinforcement Learning for Dance Pose Optimization
Deep Reinforcement Learning (DRL) has become an effective framework of sequential decision-making in high-dimensional and complex control problems, but little has been done to apply it to expressive human movement. This work is a unified DRA algorithm to optimize a dance pose, which an intelligent agent is trained to produce the smooth and stable dance pose and aesthetically compose a pose in a simulated kinematic environment. Generation of dance…
Human–computer Interaction Models in Art Pedagogy
Incorporation of the Human-Computer Interaction (HCI) models in the art pedagogy has changed the way learners interact with the digital creativity with the focus on the interactive, experiential and multimodal approaches to the artistic education. This paper discusses the role of cognitive and behavioral modeling in the HCI models in improving the digital art learning conditions using adaptive and feedback-based systems. The study is based on the…
D Printing Innovations Reshaping Traditional Sculptural Methods in Contemporary Visual Culture
The whole process of sculpture has been transformed significantly with the invention of the 3D printing technology, and has re-evaluated the relation of art, material or digital innovation and provided more significance to the contemporary visual culture. The paper examines how additive manufacturing affects the traditional sculpture in that it presents new ways of creativity, precision and effectiveness in production. It begins with discussing t…
Rhythms of Heritage
Folk music is a cultural reminiscence, social ideals, and historical records of people, but numerous traditions are struggling with the issue of continuity in the environment of globalization and shifting musical realities. This article discusses how modern jazz improvisation has been used as a creative and culturally sensitive tool to maintain and recontextualize folk music traditions. Instead of seeing preservation as a conservation that is unc…
Generative grammar (2 works) · 3D printing (1 work) · Aesthetic Perception and Analysis (1 work) · Architecture and Computational Design (1 work) · Art Education and Development (1 work) · Art, Technology, and Culture (1 work) · Citizen journalism (1 work) · Correctness (1 work) · Crafts, Textile, and Design (1 work) · Creativity (1 work)