Neema Tharayil Salim

• Develop a digital eye twin to model pathology-specific changes in the human cornea (Python and C++). • Execute FEM modeling and analyses of corneal biomechanics under various pathological conditions with Ansys. • Analyze cornea tomography data and optimize interpretations using Python and MySQL to enhance model prediction. • Conduct model validation simulations with experimental human corneal data in Ansys Mechanical Workbench.

• Designed custom PCBs and electronic circuits (Altium) for device prototype development. • Integrated FSR and pressure sensors into customized 3D-printed neonatal masks, enhancing device functionality and ventilation training efficacy. • Implemented real-time sensor data acquisition using LINX LabVIEW during ventilation. • Developed benchtop calibration tests for FSR sensors, ensuring accurate force-displacement measurements in prototypes.

• Engineered precise 3D CAD models (Fusion 360) of POC devices, adhering to strict design specifications for prototyping. • Designed and executed a POC fiber-optic biosensor device for rapid COVID-19 detection, integrating system requirements and test specifications. • Implemented embedded optoelectronic circuits with sensor and photodetector integration using ANSI C. • Analyzed data from optical transducers and conducted statistical analysis in Minitab, optimizing data evaluation processes.

• Designed and developed a fiber-optic sensor system to measure wax appearance temperature in hydrocarbon mixtures. • Redesigned the robotic arm and soft gripper mechanism for a CO2-laser-based fiber bending machine, aligning with automation and precision engineering requirements. • Prepared patent applications and contributed to technical documentation and scientific reports

• Coordinated the product development of a fiber optic multi-array biosensor system for clinical diagnosis. • Implemented an electronic circuit (using LTspice) and Printed Circuit Board fabrication of the sensor system. • Programmed software (Arduino Nano) for integrating optoelectronic components.

Main emphasis: Robotics for Minimally Invasive Surgery (introduction to dVRK - Da Vinci Research Kit), Soft Robotics Technologies, Prostheses, Biomechanics, Modelling of Multiphysics Phenomenon, Advanced Materials for Bionics, Methods and Techniques of Measurement and Data analysis, Mechanics of Smart Materials and Structures.

The main emphasis on "Electronic Devices and Circuits, Biosensors and Transducers, Medical Image & Signal Processing, Medical Instrumentation, Medical Imaging Techniques, Biomedical Optics & Biophotonics, Bio-MEMS & Nanotechnology, Biophysics, VLSI and Principles of Anatomy and Physiology".