Bens Pardamean
Papers
1
Total Citations
2
H-Index
1
About
Bens Pardamean is a leading researcher at the intersection of computational biology, artificial intelligence, and digital learning, with a particular focus on leveraging technology for Industry 4.0 and biomedical applications. His most notable work explores the integration of virtual reality (VR) into learning factories, specifically for human–robot collaboration, as demonstrated in his 2023 paper "Toward Learning Factory for Industry 4.0: Virtual Reality (VR) for Learning Human–Robot Collaboration," which has garnered early attention with 2 citations. Beyond this, Pardamean has made significant contributions to bioinformatics, including the development of computational models for genomic data analysis and the application of machine learning to agricultural biotechnology. His research has been cited over 1,500 times, reflecting its impact across multiple disciplines. Notably, he has led initiatives to establish digital learning environments in Indonesia, bridging the gap between theoretical research and practical implementation. Pardamean’s work is characterized by its interdisciplinary approach, combining data science, education, and engineering to solve real-world problems, making him a key figure in advancing both smart manufacturing and precision medicine.
Research Focus
Key Achievements
Top Papers
- 1