• Leading a $1.5 million ARPA-E project to develop novel insulating systems for energy infrastructure
  
• Synthesizing and testing nanofluids for next-generation power transformers
     o In accordance with ASTM and IEC standards
• Designing high pressure and temperature experimental setups over $150,000
• Designing and running transformer thermal ageing tests according to IEEE standards
  
• Working with vendors and manufacturers on experimental components
  
• Scaling up nanofluid production by 1000x (lab to commercialization)
  

• Customer discovery for ultra-fast hydrate formation
  

      Microfluidics

• Achieved high degree of wettability alteration of water and oil droplets via surface engineering, surfactants & electrowetting (EW)
  

• Computationally modeled droplet actuation under dielectrophoresis (DEP)
     o Model predicted experimental data with high accuracy (> 95%) based on electrohydrodynamic physics

• Developed a multifunctional EW microfluidic device with high capability in droplet coalescence & generation
     o Attained coalesce efficiency greater than 95%
     o Device generated 100s of micron-sized droplets per second
     o Device effectiveness was mapped with a phase diagram with physics-based interpretability
  

• Developed a deep learning (DL) model to predict the effectiveness of microfluidic devices, which could reduce the costs of evaluating potential designs
     o Multi-output DL regression model yielded high prediction accuracy
     o Using Shapley Additive exPlanations, the DL model retained a high degree of physics-based interpretability
  
  

      Thermal Management

• Carried out holistic multifunctional assessments of composite polymeric encapsulants for power electronics (PE) modules
  
• Assessed current limitations (mechanical, thermal, electrical) of nanocomposites on PE modules
• Ran ANSYS thermal parametric simulations of PE module through UT Austin’s supercomputer
• Performed machine learning analysis of thermal simulation data to study effect of nanocomposite encapsulants
     o Best composite encapsulants reduces maximum junction temperatures by 7.4 C (steady state) and 8.9 C (transient)
• Performed IR imaging tests on PE modules with liquid-cooled heatsink
  

• Researched surface & emulsion chemistry effects on droplet distribution in microchannel cells
• Improved droplet distribution by understanding curing intensity and thermal effects
• Built a holistic, data analytics approach in quantifying the effects of surfactants on droplet emulsion stability

• Analytically modelled flow transition criteria for vertical downward two-phase flow
• Model is crucial to predict loss of coolant accident (LOCA) scenarios in high pressure nuclear power plants
• Achieved 20% higher accuracy with new model as compared to literature

• Carried out calibration of electrical and automation hardware for a mining plant start-up
• Performed safety checks and mechanical cold commissioning of mining plant