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Maxmilla inspired biopsy needle for reducing pain during tissue extraction In this project, we developed a new and efficient design resulting in lower forces and torque as verified by the test done on phantom tissue.

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Using machine learning on features extracted from acoustic signal of the motors, our group (4 member team) showed that it is possible to predict the shape of the printed part

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Expansion joints introduce compliance into piping systems carrying media extreme conditions of high temperature/(sometimes cryogenic)/high pressure and/or corrosive media undergo thermal stress

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BIPV (Building integrated photovoltaics) suffer from efficiency issues. Based upon Northwestern research, we aimed to address this challenge by repurposing bluray disc equipment for the solar industry

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Responsible for the Engine Module. Designed intake and exhaust manifold which lead to 20 percent more power than previous design on Ricardo wave

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Using Knitting as the framework, this work shows that strain energy minimized structures can be achieved such as saddle, axisymmetric cup and also show potential applications such as wind turbine blades and aquatic robots similar to jellyfish like locomotion.

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KUKA youBot to pick up a block at the start location and carry it to the desired location in the simulation software V-REP

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A standard butterfly throttle body has a central axis which restricts air flow even when wide open. This is overcome by using a barrel throttle body which allows a clear passage for airflow at Wide open throttle conditions helping achieve higher top end power.

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Rigid multi-body, Lagrangian mechanics and variational principles, conservation of energy and momentum, symmetries, impact dynamics, and numerical methods was used to simulate mechanical systems. Python was used for this project

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Supervised training on label of acoustic bird signal fragments

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