• Analyze the fundamental drivers behind grid congestions, such as line outages, generator outages, and rating changes.• Identify potential trading opportunities in the SPP and MISO Financial Transmission Rights markets.

• Optimized energy storage sizing and placement using optimal power flow to maximize storage utilization and minimize generator costs, while accounting for storage efficiency, self-discharge, energy limits, power limits.• Benchmarked the novel optimization algorithm in terms of speed and accuracy against Gurobi mathematical optimization and meta-heuristic optimization, using techniques such as linear programming, mixed-integer quadratic programming, elitist genetic algorithm, and particle swarm algorithm.• Applied the optimization algorithms in case studies using DC OPF, AC OPF, linear storage model, and non-linear storage model to explore their effect on storage sizing and placement.• The novel method operates without requiring storage costs, which stands in contrast to other methods, where errors in storage cost estimates cause inaccuracies in sizing and placement. The methods can serve as a decision support tool, providing insights into the physical limits of energy storage amidst economic variabilities.

• Enhanced Oxford Masters students’ knowledge on energy storage and renewable energy by teaching optimal storage sizing and placement, and storage design for solar and wind energy utilization.• Assisted professors and guest speakers in both in-person and online lecture delivery. Provided guidance to student assignments. Managed the course webpage for course material distribution and lecture recording.

• Developed physical models on heating-related energy expenditure, carbon emissions, and heat loss for a real-time room-by-room online tracking system.• Implemented these models into the tracking system using BitBucket for source control and code review.

• Utilized machine learning techniques, including linear regression and recurrent neural network, to model and predict electricity demand and solar generation based on weather data. The predicted data was used to optimize battery storage schedules with the aim of reducing peak demand.

• Analyzed nanoindentation data using VBA to map material micro-mechanical properties including hardness and indentation modulus.

• Created corrosion prevention engineering drawings and documentations. Processed permit requests, funding requests, and construction updates. Managed the $250,000 power connection project to power and upgrade electrical systems supporting the corrosion prevention devices. Oversaw the Management of Change process for documenting changes to project scope, schedule, and cost.• Streamlined engineering drawing process and improved drawing accuracy by semi-automating the mapping of corrosion prevention devices according to placement designs using VBA.• Enabled project managers to facilitate concurrent progression in constructions and permit applications across hundreds of sites, by creating an automated tracker that monitors permit status and construction schedules.• Designed a unified search platform to efficiently manage documentations for cathodic protection project changes in scope, schedule, and cost across Canada.

• Effectively conveyed the internal structures of reinforced concrete by creating 3D x-ray models in SketchUp and cross-sectional models in AutoCAD.• Analyzed the strength characteristics of glass fiber reinforced polymer under varying temperature conditions.• Safely operated machine shop equipment to fabricate reinforcement caging and forms using wood, steel, and glass fiber-reinforced polymer. Assisted in the construction of steel-reinforced concrete columns.