Manivannan Karunakaran
Biographic Data
| ID | 10127475 |
|---|---|
| NAME | Manivannan Karunakaran |
| GIVEN NAMES | Manivannan |
| FAMILY NAME | Karunakaran |
| SIGNATURE | KARUNAKARAN M |
| AFFILIATIONS | Jain University |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Chatgpt as a Co-Teacher in Art Education
The fast pace of integrating artificial intelligence in the educational setting has created new learning possibilities especially in creative subjects like art education. In this paper, it is suggested to consider ChatGPT as a Co-Teacher to demonstrate how generating AI may aid instructional procedures, increase student engagement, and facilitate differentiated learning opportunities. Being a smart assistant, ChatGPT aids in ideation, explanation…
Data Visualization as a Form of Sculptural Art
Data visualization, the interconnection of information and sculptural art is a new paradigm where information moves out of the digital screens and finds space in the physical world to express itself. This paper examines the conceptual, aesthetic and technological systems that allow the data to be physically realized as three dimensional artworks. It investigates how datasets are transformed algorithmically and modeled computationally into forms t…
Cognitive Load Reduction in Media Learning via Ai
The momentum of multimedia learning environments has increased the issues related to how to administer the cognitive load of learners. The paper describes a cognitively intelligent real-time detection of cognitive load and next-generation media optimization framework that is based on Cognitive Load Theory (CLT). The proposed system combines multimodal sensing (EEG, eye-tracking, affective cues) with a hybrid CNN-BLSTM inference engine and an RL-b…
Ai in Dance Therapy for Education and Wellbeing
Dance therapy or dance/movement therapy (DMT) is not a new concept and has been traditionally acknowledged to have the ability to improve emotional, cognitive, and physical wellbeing. The last few years have seen the intersection of artificial intelligence (AI) and movement-based therapies, which has paved the way to the data-driven personalization of learning and therapy and has scaled up both educational and therapeutic interventions. In this p…
Ethical Concerns in Ai-Generated Sculptural Art
The accelerated development of AI-created sculptural works has set new standards of creativity, authors, and expression of material, but it also delivers some serious ethical issues, questionable by conventional artistic and cultural paradigms. As the roles of generative models, mesh networks in 3D and computational fabrication tools continue to be integrated into the sculptural ideation and production processes, questions of authenticity of the …
Predictive Ai for Rhythm Synchronization in Training
Rhythm synchronization is a predictive type of AI that builds upon temporal modeling and cognitive neuroscience so as to augment the synchronization of auditory and motor responses in the dynamic training environment. This study examines the possibilities of intelligent systems in predicting patterns of rhythm and dynamically supporting the user to have a temporal alignment using multimodal feedback. The framework combines data of music beats, mo…
Gans for Musical Style Transfer and Learning
Generative Adversarial Networks (GANs) are considered to be disruptive models of computational creativity, especially in music style transfer and learning. This study examines how GAN architecture may be incorporated in translating pieces of music between different stylistic domains without compromising their time and harmonious integrity. The conventional approaches including Autoencoders, RNNs, and Variational Autoencoders (VAEs) have shown a l…
No prominent works on this page.
Chatgpt as a Co-Teacher in Art Education
The fast pace of integrating artificial intelligence in the educational setting has created new learning possibilities especially in creative subjects like art education. In this paper, it is suggested to consider ChatGPT as a Co-Teacher to demonstrate how generating AI may aid instructional procedures, increase student engagement, and facilitate differentiated learning opportunities. Being a smart assistant, ChatGPT aids in ideation, explanation…
Data Visualization as a Form of Sculptural Art
Data visualization, the interconnection of information and sculptural art is a new paradigm where information moves out of the digital screens and finds space in the physical world to express itself. This paper examines the conceptual, aesthetic and technological systems that allow the data to be physically realized as three dimensional artworks. It investigates how datasets are transformed algorithmically and modeled computationally into forms t…
Cognitive Load Reduction in Media Learning via Ai
The momentum of multimedia learning environments has increased the issues related to how to administer the cognitive load of learners. The paper describes a cognitively intelligent real-time detection of cognitive load and next-generation media optimization framework that is based on Cognitive Load Theory (CLT). The proposed system combines multimodal sensing (EEG, eye-tracking, affective cues) with a hybrid CNN-BLSTM inference engine and an RL-b…
Ai in Dance Therapy for Education and Wellbeing
Dance therapy or dance/movement therapy (DMT) is not a new concept and has been traditionally acknowledged to have the ability to improve emotional, cognitive, and physical wellbeing. The last few years have seen the intersection of artificial intelligence (AI) and movement-based therapies, which has paved the way to the data-driven personalization of learning and therapy and has scaled up both educational and therapeutic interventions. In this p…
Ethical Concerns in Ai-Generated Sculptural Art
The accelerated development of AI-created sculptural works has set new standards of creativity, authors, and expression of material, but it also delivers some serious ethical issues, questionable by conventional artistic and cultural paradigms. As the roles of generative models, mesh networks in 3D and computational fabrication tools continue to be integrated into the sculptural ideation and production processes, questions of authenticity of the …
Predictive Ai for Rhythm Synchronization in Training
Rhythm synchronization is a predictive type of AI that builds upon temporal modeling and cognitive neuroscience so as to augment the synchronization of auditory and motor responses in the dynamic training environment. This study examines the possibilities of intelligent systems in predicting patterns of rhythm and dynamically supporting the user to have a temporal alignment using multimodal feedback. The framework combines data of music beats, mo…
Gans for Musical Style Transfer and Learning
Generative Adversarial Networks (GANs) are considered to be disruptive models of computational creativity, especially in music style transfer and learning. This study examines how GAN architecture may be incorporated in translating pieces of music between different stylistic domains without compromising their time and harmonious integrity. The conventional approaches including Autoencoders, RNNs, and Variational Autoencoders (VAEs) have shown a l…
Aesthetic Perception and Analysis (2 works) · Architecture and Computational Design (2 works) · Art, Technology, and Culture (2 works) · Cognition (2 works) · Digital art (2 works) · Music Technology and Sound Studies (2 works) · Sculpture (2 works) · Action Observation and Synchronization (1 works) · Art Therapy (1 works) · Artificial Intelligence in Healthcare and Education (1 works)