Md. Hafiz Ahamed
Papers
8
Total Citations
515
H-Index
7
About
Md. Hafiz Ahamed is a leading researcher at the intersection of robotics and digital twin technology, whose work is shaping the future of intelligent automation. His primary contributions lie in advancing autonomous mobile robots, digital twin architectures, and their convergence for Industry 4.0 applications. Ahamed's seminal 2024 paper on digital twin data exploration and implementation has garnered 148 citations, establishing a foundational framework for the field. His comprehensive 2021 review on critical design and control issues for indoor autonomous mobile robots (145 citations) remains a go-to resource for engineers and academics alike. Extending this work, his 2023 study on next-generation digital twins in robotics (123 citations) explores the fusion of cyber-physical systems, IoT, and cloud computation to elevate collaborative functionality. Ahamed has also pioneered applications in specialized domains, including IoRT-enabled digital twins for future surgical sectors and autonomous grinding algorithms for SMART manufacturing. His forward-looking research on legged robot locomotion control and self-healing soft robotics demonstrates a commitment to overcoming the next frontiers in robotics, from terrain exploration to safe human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Digital twin: Data exploration, architecture, implementation and future148 citations · 2024
- 2Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review145 citations · 2021
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- 6Next generation legged robot locomotion: A review on control techniques16 citations · 2024
- 7A review on self-healing featured soft robotics15 citations · 2023
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