Papers
11
Total Citations
132
H-Index
8
About
Sudipto Datta is a versatile biomedical and mechanical engineer whose research sits at the dynamic intersection of surgical robotics, minimally invasive surgery, and advanced biomaterials. His most influential work has centered on developing innovative fabrication techniques for biomedical structures — most notably his 2019 study on force modeling for creating hollow channels within gel matrices (31 citations), which holds direct implications for vascularized tissue engineering and microfluidic device development. Datta has made substantial contributions to understanding needle-tissue interactions during surgical insertion, conducting both experimental and analytical investigations into robotically controlled needle insertion procedures, including targeted applications in percutaneous nephrolithotomy (PCNL). His comprehensive surveys and reviews on AI-driven minimally invasive surgery and emerging surgical robotics (earning 13–14 citations each) reflect his commitment to synthesizing rapidly evolving fields for the broader research community. Beyond robotics, Datta has explored smart materials, including shape memory alloys, shape memory composite nanofibers for deployable biomedical matrices, and nanotechnology applications. With over 125 cumulative citations across a focused body of work, his research meaningfully bridges engineering innovation and clinical application, making him a valuable voice for students and practitioners navigating the future of intelligent, minimally invasive medicine.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Artificial Intelligence and Robotics-Based Minimally Invasive Surgery14 citations · 2023
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- 7The Ongoing Advancements in Surgical Robotics10 citations · 2024
- 8Application of Nanotechnology in Global Issues9 citations · 2020
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- 10Processing and Applications of Shape Memory Alloys5 citations · 2024