M. Shahriar
Papers
1
Total Citations
30
H-Index
1
About
M. Shahriar is a researcher specializing in the development of self-powered, flexible mechanical transducers, with a primary focus on triboelectric nanogenerators (TENGs) and their applications in energy harvesting and sensing. Their most notable contribution is the design and demonstration of the Self-powered Flexible PDMS Channel Assisted Discrete Liquid Column Motion Based Triboelectric Nanogenerator (DLC-TENG), a novel mechanical transducer that converts discrete liquid motion into electrical signals without external power. This work, published in 2019 and cited 30 times, showcases Shahriar's expertise in integrating flexible materials, microfluidic channels, and triboelectric principles to create devices that are both energy-autonomous and mechanically responsive. The DLC-TENG represents a significant step forward in the field of self-powered sensors, offering potential for applications in wearable electronics, environmental monitoring, and human-machine interfaces. Shahriar's research is characterized by a strong emphasis on practical, scalable designs that leverage the unique properties of flexible polymers and liquid-solid interfaces, positioning them as an emerging contributor to the advancement of sustainable, maintenance-free sensing technologies.
Research Focus
Key Achievements
Top Papers
- 1