Pawan Wawage
Biographic Data
| ID | 8968235 |
|---|---|
| NAME | Pawan Wawage |
| GIVEN NAMES | Pawan |
| FAMILY NAME | Wawage |
| SIGNATURE | WAWAGE P |
| AFFILIATIONS | International Institute of Information Technology |
| ORCID | 0000-0002-2466-3517 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Generative Ai for Reviving Lost Art Traditions
The disappearance of ancient forms of art can be seen as a great loss of cultural knowledge not only in the form of physical objects but also as symbolic meaning, stylistic grammar, and practice in aesthetic. Although current digital heritage projects focus on documentation, and preservation, they do not offer much assistance in the active revival of art. The ethically-based structure of the AI-driven reconstruction of the lost art traditions is …
Yoga, Breathwork, and Vocal Performance Enhancement
Vocal performance requires a harmonious integration of breath control, posture, mental focus, and vocal endurance. In recent years, holistic practices such as yoga and breathwork have gained attention for their potential to enhance vocal capabilities among singers and performers. This study explores the role of yoga postures (asanas) and controlled breathing techniques (pranayama) in improving vocal performance, respiratory efficiency, and vocal …
Large Language Models for Generating Creative Concepts in Visual Art Pre-Production Processes
Pre-production phase of visual art is a very significant stage because it entails intellectual ideation, story development and search of design. The need to possess smart looking systems that can be utilized to augment the traditional ideation work is growing as well as requirements of fast and diverse creative effort are escalating. The article dwells upon the application of Large Language Models (LLMs) to generate creative concepts in pre-produ…
Smart Materials in Sculptural Education
The introduction of intelligent materials in sculpture education is reshaping the ancient ways of providing art-making with dynamism in ability to react, deal, and sensitivity to the environment. In the present paper, the mechanisms of enhancing the expressive and functional possibilities of the sculpture at hand through the use of shape memory alloys and polymers, piezoelectric composites, and chromic substances are discussed. The paper examines…
Using Ai to Personalize Creative Learning Paths
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…
Crowd-Sourced Folk Art Classification Models
Folk art is a diverse nexus of place identities, craft systems of knowledge and intergenerational cultural memory. However, its visual heterogeneity, including motifs, materials, techniques, and vocabularies of symbols, creates tremendous problems of scalable digital classification. The conventional manual classification of folk art collections is usually limited by a short pool of expertise, subjective knowledge, and archival diversity. To fill …
Explainable Ai for Creative Music Education
In recent years, explainable artificial intelligence (XAI) has gained popularity as a means to enhance various fields, including education. This paper examines the use of XAI techniques in innovative music instruction. The aim is to employ AI-powered models to visualise sound, rhythms, and harmony, which will let students grasp musical compositions more readily. Traditional song training is based closely on idea and bodily analysis, which gives l…
No prominent works on this page.
Smart Materials in Sculptural Education
The introduction of intelligent materials in sculpture education is reshaping the ancient ways of providing art-making with dynamism in ability to react, deal, and sensitivity to the environment. In the present paper, the mechanisms of enhancing the expressive and functional possibilities of the sculpture at hand through the use of shape memory alloys and polymers, piezoelectric composites, and chromic substances are discussed. The paper examines…
Using Ai to Personalize Creative Learning Paths
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…
Crowd-Sourced Folk Art Classification Models
Folk art is a diverse nexus of place identities, craft systems of knowledge and intergenerational cultural memory. However, its visual heterogeneity, including motifs, materials, techniques, and vocabularies of symbols, creates tremendous problems of scalable digital classification. The conventional manual classification of folk art collections is usually limited by a short pool of expertise, subjective knowledge, and archival diversity. To fill …
Explainable Ai for Creative Music Education
In recent years, explainable artificial intelligence (XAI) has gained popularity as a means to enhance various fields, including education. This paper examines the use of XAI techniques in innovative music instruction. The aim is to employ AI-powered models to visualise sound, rhythms, and harmony, which will let students grasp musical compositions more readily. Traditional song training is based closely on idea and bodily analysis, which gives l…
Generative Ai for Reviving Lost Art Traditions
The disappearance of ancient forms of art can be seen as a great loss of cultural knowledge not only in the form of physical objects but also as symbolic meaning, stylistic grammar, and practice in aesthetic. Although current digital heritage projects focus on documentation, and preservation, they do not offer much assistance in the active revival of art. The ethically-based structure of the AI-driven reconstruction of the lost art traditions is …
Yoga, Breathwork, and Vocal Performance Enhancement
Vocal performance requires a harmonious integration of breath control, posture, mental focus, and vocal endurance. In recent years, holistic practices such as yoga and breathwork have gained attention for their potential to enhance vocal capabilities among singers and performers. This study explores the role of yoga postures (asanas) and controlled breathing techniques (pranayama) in improving vocal performance, respiratory efficiency, and vocal …
Large Language Models for Generating Creative Concepts in Visual Art Pre-Production Processes
Pre-production phase of visual art is a very significant stage because it entails intellectual ideation, story development and search of design. The need to possess smart looking systems that can be utilized to augment the traditional ideation work is growing as well as requirements of fast and diverse creative effort are escalating. The article dwells upon the application of Large Language Models (LLMs) to generate creative concepts in pre-produ…
Aesthetic Perception and Analysis (3 works) · Annotation (2 works) · Creativity (2 works) · Cultural heritage (2 works) · Diverse Music Education Insights (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Ideation (2 works) · Active listening (1 work) · Adaptive Learning (1 work) · Architecture (1 work)