Sourav Rampal
Biographic Data
| ID | 10128109 |
|---|---|
| NAME | Sourav Rampal |
| GIVEN NAMES | Sourav |
| FAMILY NAME | Rampal |
| SIGNATURE | RAMPAL S |
| AFFILIATIONS | Chitkara University |
| ORCID | 0009-0000-6270-102X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Generative Design in 3d Printing Education
The paper examines how generative design and 3D printing can be incorporated in the contemporary design education and how it will enhance the computational creativity as well as reflective practice and interdisciplinary learning. This study will apply the design-based mixed-method approach to analysis, based on the constructivist, constructionist, and experiential theories of learning, to address whether the use of algorithmic modeling and additi…
Machine Learning Models for Style Transfer in Sculpture
The application of machine learning to the field of sculpture has revitalised the boundaries of artistic invention and online production. The paper is about the high-order models of style transfer in sculpture which is the process of transferring visual characteristics of art in one type of sculpture to another not compromising on the structural integrity. Three models were employed including CycleGAN, Neural Style Transfer (NST) and Diffusion-ba…
Neural Style Transfer in Art Education a Case Study of Digital Creativity
The paper is a pedagogical investigation of the Neural Style Transfer (NST) as a means of promoting digital creativity in art education. With the growing influence of artificial intelligence in creative practice, it is up to educators to identify ways of using emerging technologies to facilitate creative expression and not to automate it. The paper presents a case study on how NST may be applied in a formal education setting to enhance students’ …
The Role of Data Analytics in Contemporary Art Market
Data analytics implementation into the modern art market has changed the way the stakeholders analyze, invest, and interact with art pieces. The art market, traditionally opaque and subjectively valued, is currently adopting data-driven approaches to increase transparency and efficacy, as well as, decision-making. This essay examines the primary importance of the data analytics in transforming the art ecosystem with an emphasis on its uses, advan…
Assessing the Impact of Visual Arts Teaching on Critical Thinking and Behavior Regulation
Background: Visual arts education has been suggested to influence cognitive and behavioral outcomes, yet its specific effects on critical thinking and behavior regulation remain underexplored. The effect of visual arts education on these domains forms the topic of the present study, which employs a mixed approach research design. Aim: To assess the impact of visual arts education on the improvement of critical thinking and self-regulation in stud…
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Assessing the Impact of Visual Arts Teaching on Critical Thinking and Behavior Regulation
Background: Visual arts education has been suggested to influence cognitive and behavioral outcomes, yet its specific effects on critical thinking and behavior regulation remain underexplored. The effect of visual arts education on these domains forms the topic of the present study, which employs a mixed approach research design. Aim: To assess the impact of visual arts education on the improvement of critical thinking and self-regulation in stud…
Generative Design in 3d Printing Education
The paper examines how generative design and 3D printing can be incorporated in the contemporary design education and how it will enhance the computational creativity as well as reflective practice and interdisciplinary learning. This study will apply the design-based mixed-method approach to analysis, based on the constructivist, constructionist, and experiential theories of learning, to address whether the use of algorithmic modeling and additi…
Machine Learning Models for Style Transfer in Sculpture
The application of machine learning to the field of sculpture has revitalised the boundaries of artistic invention and online production. The paper is about the high-order models of style transfer in sculpture which is the process of transferring visual characteristics of art in one type of sculpture to another not compromising on the structural integrity. Three models were employed including CycleGAN, Neural Style Transfer (NST) and Diffusion-ba…
Neural Style Transfer in Art Education a Case Study of Digital Creativity
The paper is a pedagogical investigation of the Neural Style Transfer (NST) as a means of promoting digital creativity in art education. With the growing influence of artificial intelligence in creative practice, it is up to educators to identify ways of using emerging technologies to facilitate creative expression and not to automate it. The paper presents a case study on how NST may be applied in a formal education setting to enhance students’ …
The Role of Data Analytics in Contemporary Art Market
Data analytics implementation into the modern art market has changed the way the stakeholders analyze, invest, and interact with art pieces. The art market, traditionally opaque and subjectively valued, is currently adopting data-driven approaches to increase transparency and efficacy, as well as, decision-making. This essay examines the primary importance of the data analytics in transforming the art ecosystem with an emphasis on its uses, advan…
Aesthetic Perception and Analysis (3 works) · Artistic and Creative Research (2 works) · Creativity (2 works) · Analytics (1 work) · Architecture and Computational Design (1 work) · Art (1 work) · Art Education and Development (1 work) · Art History and Market Analysis (1 work) · Art market (1 work) · Big data (1 work)