Mohit Hemant Asher
Papers
1
Total Citations
7
H-Index
1
About
Mohit Hemant Asher is a researcher specializing in vehicle dynamics, with a particular focus on objective testing and optimisation in challenging winter conditions. His major contribution lies in addressing a longstanding industry challenge: the low repeatability and poor signal-to-noise ratio of vehicle handling tests on snow and ice. Through his most-cited work, "Analysis and optimisation of objective vehicle dynamics testing in winter conditions" (2017, 7 citations), Asher identified robust manoeuvres and metrics that enable reliable, objective evaluation of vehicle performance in winter environments. This research bridges the gap between subjective driver assessments and quantifiable engineering data, offering practical tools for automotive engineers and researchers. While his citation count reflects a niche but impactful contribution, Asher’s work is notable for its direct application to vehicle safety and performance optimisation in extreme conditions. His findings support the development of more predictable and safer vehicles, making his research valuable for both academic study and real-world automotive testing. Asher’s focus on methodical, data-driven solutions underscores his commitment to advancing vehicle dynamics in under-explored operational domains.
Research Focus
Key Achievements
Top Papers
- 1