CV

PhD Automotive Engineering

PhD Mechanical Engineering

MSc Computer Engineering

BE Mechatronics Engineering

Graduate Research Assistant

• Research Topic 1- Digital Twins in Composites Manufacturing
  • Conducting an exhaustive review of Digital Twin applications in the realm of composites manufacturing.
• Research Topic 2- Time Series Forecasting
  • Utilizing forecasting algorithms for anomaly forecasting and robot monitoring in manufacturing systems.

Graduate Researcher and Technical Lead

• First graduate student to be part of the Future Factories team and the Artificial Intelligence Institute at UofSC.
• Constructed a manufacturing research testbed with advanced technologies including Edge Computing, Digital Twins, and IIoT capabilities.
• Lead and mentored a group of 10 MS/PhD students.
• Research Topic 1 - Fault Tolerant Manufacturing
  • Utilized Semantic Web technologies deployed at the Edge level to realize Autonomous Manufacturing use cases.
  • Created mapping from generated raw sensor data to RDF triples.
  • Semantic Modelling was done on a custom application developed and deployed on the Siemens IPC227E Edge device.
  • Generated real time Industrial Knowledge Graph.
  • Applied reasoning and knowledge extraction principles for decision making processes.
• Research Topic 2 - Explainable AI in Manufacturing
  • Employed Knowledge Graphs to address explainability issue of Machine Learning models in Manufacturing.
  • Explainability entails providing possible reasons to Technicians for a Machine Learning model’s prediction, eradicating the “black-box”.
• Research Topic 3 - Time Series Classification
  • Developed a framework for real time deployment of TSC on industrial manufacturing systems.
  • Trained multiple TSC models to compare results.
  • Created end-to-end application for real time monitoring and classification of manufacturing assembly line.
• Research Topic 4 - Cognitive Manufacturing
  • Performed exhaustive literature review to establish new research field of Cognitive Manufacturing.
  • Defined the term Cognitive Manufacturing and associated trends within the field.
  • Publication was accepted within the first submission in a top 3 manufacturing journal.
• Research Topic 5 - Data-Driven Manufacturing
  • Collected, processed, and published two manufacturing datasets to be used for various research projects.

Automation Runtime System Research & Development Intern

• Developed Proof of Concept for a Federated Information System.
• Vital as scalable solution for Vertical Integration of Manufacturing Systems.
• Novel modular and interoperable solution ready to be implemented in manufacturing facilities.
• Adopted technologies such as GraphQL, Flask, Knowledge Graphs, and OPC UA

Controls and Instrumentation Engineering Consultant Intern

• Designed and presented PLC projects required for industrial automation.
• Facilitated the development of Building Management System (BMS) designs.