Machine Learning in Composite Design Optimization [General Electric Fellowship Award]• Proposed and implemented a novel method for composite design optimization by bridging additive manufacturing, machinelearning, and optimization techniques to combat the long-standing inverse design challenge of vast design spaces• Modeled the composites using SolidWorks and 3D printed them using a Stratasys Objet 350 printer with PolyJet capabilities• Developed an artificial neural network… Show more Machine Learning in Composite Design Optimization [General Electric Fellowship Award]• Proposed and implemented a novel method for composite design optimization by bridging additive manufacturing, machinelearning, and optimization techniques to combat the long-standing inverse design challenge of vast design spaces• Modeled the composites using SolidWorks and 3D printed them using a Stratasys Objet 350 printer with PolyJet capabilities• Developed an artificial neural network (ANN) model in Python using TensorFlow to capture the mechanical behavior of compositesusing tensor representation of composites as inputs and mechanical properties obtained from compression tests as output• Used the trained model as a surrogate objective function in genetic algorithm (GA) optimization for discovering composites withsuperior mechanical properties• Displayed feasibility of the proposed technique which led to drastic enhancement of mechanical properties of new composites Show less

3D Printing of Sensor Arrays for Chemical and Biological Agents [NSF-funded]• Designed and fabricated proof-of-concept high-resolution multi-layer polymeric micro-scaffolds as biosensor bases for pathogentest kits using an advanced custom-made Digital Light Printer (DLP)• Conducted a DOE and optimized process parameters for improved control on array porosity and spacing to maximize reagentcoating surface area and facilitate substance (analyte) flow for enhanced result… Show more 3D Printing of Sensor Arrays for Chemical and Biological Agents [NSF-funded]• Designed and fabricated proof-of-concept high-resolution multi-layer polymeric micro-scaffolds as biosensor bases for pathogentest kits using an advanced custom-made Digital Light Printer (DLP)• Conducted a DOE and optimized process parameters for improved control on array porosity and spacing to maximize reagentcoating surface area and facilitate substance (analyte) flow for enhanced result accuracy and reliability• Expanded the fabrication to multi-material printing of functionally graded structures for embedded electronics and to designswith higher complexities in geometry and material distribution patterns to further increase functionality and applicability• Optimized print parameters and air jetting time for different scales and various material distribution patterns to obtain higherresolutions of distinct multi-material regions, heavily impacting the performance of the structures Show less