Responsibilities include:

• Supported the development of a multi-criteria optimization model for selecting the type and number of sensors to improve the health and performance of complex engineering systems
• Conducted a failure modes mechanisms and effects analysis (FMMEA) for 2 manufacturing systems to create a fault-sensor dependency matrix
• Developed ordered clustering algorithm for sensor selection by ranking performance metrics
• Currently developing a 3-d network model for optimal sensor placement on a digital twin to improve failure diagnostics and prognostics

Ongoing Projects:

• SmartPathway: An accessible tool that aids students in planning their course schedule based on degree requirements, course offerings, and career interests. A part of this project work involves identifying the gap in technical skills between retail, healthcare and service industries and academia.
• Demand chain optimization of perishable products. This project focuses on minimizing wastage of meal kits within retail stores.

Additional Responsibilities:

• Maintaining undergraduate research website (Aug - 2018 to Jan -2020)

• Mentoring undergraduate Capstone Projects such as

  • Occupancy Analytics: The main objective of this project was to use IoT technologies to develop a system of sensors and microcontrollers networked to persist data in a database, so that users can view the occupancy status using a GUI over the internet on any standard browser. Data accumulated was then be used to drive decisions, such as optimized scheduling of cleaning and sanitization services
  • Organ allocation/Distribution: The capstone project was to develop a model that takes in the list of donors and potential recipients and the distances between them to return the maximal cardinality matching with the least net distance between the donors and the recipients
  • System Health Monitoring: The project grouped were tasked with developing a system health index to outline the ideal conditions for running the testing process and provide quantitative predictions to aid in maintenance decisions
    

• Mentoring summer projects

  • PPE- supply chain for Covid-19
  • Tracking the spread of covid-19 in Nursing Homes
  • Penn State ITS-UPS maintenance
    

• Other Research projects mentored

  • Li-ion battery state of charge prediction
    
    

• Development of cases and exercises for an online professional master’s course in marketing analytics
• Assist with creating lecture materials related to marketing analytics, assisting students with technical questions/issues, and general research support for various cases/projects related to marketing analytics
  

• Built and deployed a model to perform panel data analysis on customer data, assisting 48 students in career development and online learning
• Automating Data Visualization process used ”ggplot2” package in R to generate report ready plots
• Developing and deploying econometric models using ”plm” package in R for Panel Data Analysis
• Automated the process of choosing between Fixed and Random effects model using Hausmann Test
  

Responsibilities include:

• Performed analysis on static oil slosh and engine pan designs to identify pressure differences between oil and atmosphere
• Studied oil spills from different power trains to estimate the volume of oil spilled on critical components
• Measured the oil volume flow for each degree of rotation within crankshafts
• Calculated piston pressures and power losses in various engines through a crankcase breathing analysis
• Analyzed the conjugate heat transfer of exhaust systems to predict manifold temperatures and the impacts of different regions’ temperatures
• Led a flow analysis of the entire power train coolant system for different engine families, estimating pressure drop and flow rates across each component
  
  

Key Process Improvements:

• Reduced analysis completion time by 70% by identifying a process bottleneck during a simulation, then architecting and implementing automation for the process
• Lowered completion time for another analysis by 60% by producing an Excel script to automatically calculate the volume of oil flowing through crankshaft oil tubes