Papers
2
Total Citations
17
H-Index
2
About
Mujahid Tabassum is an emerging researcher whose work bridges bio-inspired robotics and environmental biotechnology. His most cited study, "Novel Approaches to Plastic Pollution: Leveraging Machine Learning and Metaproteomics for Advanced Plastic Degradation" (2025, 9 citations), tackles the global plastic waste crisis by integrating computational and molecular tools. This work proposes innovative strategies to enhance plastic biodegradation, demonstrating how machine learning can optimize enzyme discovery and metaproteomics can track microbial degradation pathways—offering a data-driven path toward sustainable waste management. Earlier, Tabassum explored biomimetic design in "A novel design of an amphibious robot having webbed feet as duck" (2017, 8 citations), where he engineered a duck-inspired robot that uses the same webbed-foot propulsion system for both swimming and walking, eliminating the need for separate terrestrial and aquatic mechanisms. This work showcases his ability to translate biological principles into efficient engineering solutions. Though his citation counts are modest, Tabassum’s research is notable for its interdisciplinary ambition—combining robotics, machine learning, and environmental science—and for addressing urgent ecological challenges with creative, technology-driven approaches.
Research Focus
Key Achievements
Top Papers
- 1
- 2A novel design of an amphibious robot having webbed feet as duck8 citations · 2017