Priyanka Das | Autonomous systems | Best Researcher Award

Ms. Priyanka Das | Autonomous systems | Best Researcher Award

Manufacturing Engineer at Ford Motor company

Summary:

Priyanka Das is a skilled robotics and controls engineer with expertise in autonomous systems, manufacturing automation, and advanced robotics. Currently a Manufacturing Controls Engineer at Ford Motor Company, she has previously contributed to innovative automation solutions at Tesla. A researcher and thought leader, Priyanka has authored multiple publications in controls engineering and localization techniques. Her technical acumen, combined with her passion for community engagement and STEM advocacy, underscores her commitment to advancing technology and empowering the next generation of engineers.

Professional Profile:

👩‍🎓Education:

Priyanka Das holds a Master of Engineering in Electrical Engineering, with a major in Robotics, from the University of Cincinnati (2019–2021). During her studies, she specialized in advanced topics such as Autonomous Vehicle (AV) Navigation and Controls, Simultaneous Localization and Mapping (SLAM), Kalman and Particle Filters, and Robot Operating System (ROS). She was awarded the prestigious Graduate Incentive Award (GIA) valued at $10,640 USD. Priyanka also earned her Bachelor of Technology in Electrical and Electronics Engineering from Vellore Institute of Technology, India (2015–2019), where she actively participated as a student representative and served as captain of the women’s sports team.

Professional Experience:

Priyanka is an accomplished engineer with experience in controls, robotics, and automation across leading organizations. She currently works as a Manufacturing Controls Engineer at Ford Motor Company (April 2024–Present), where she oversees the implementation and validation of assembly and machining controls for global Powertrain Operations (PTO) programs. Her responsibilities include leading engineering meetings, driving cross-functional collaboration with Tier I suppliers, and delivering new model programs across plants worldwide.

Previously, Priyanka worked as a Controls Engineer at Tesla Inc. (November 2021–February 2024). There, she developed automation programs for inverter and battery manufacturing lines, optimized robotic processes for improved production efficiency, and debugged control systems using advanced tools like Beckhoff and Siemens PLCs. She has also contributed to path-planning research and quadcopter localization as a volunteer Guided Navigation and Control Researcher at the University of Cincinnati’s RISC Lab. Earlier, she interned at the Tarapur Atomic Power Station, India, assisting with testing and calibration of power generation equipment and developing solutions for smart power management.

Research Interests:

Priyanka’s research interests lie in autonomous systems, advanced robotics, and controls engineering. She has a particular focus on developing robust localization techniques, path-planning algorithms, and machine learning models for GPS-denied environments. Her expertise spans fields like Sensor Fusion, SLAM, PID, and LQR controls.

Author Metrics and Awards

Priyanka Das has authored five research papers with significant contributions to the fields of robotics, controls engineering, and autonomous systems. Her work has been published in reputed journals like IJIRMPS and IJCEM, and her research is widely referenced in the academic community.

Top Noted Publication:

1. Optimizing Sensor Integration for Enhanced Localization in Underwater ROVs

  • Publication: International Journal of Scientific Research in Engineering and Management
  • Publication Date: December 26, 2024
  • DOI: 10.55041/ijsrem10901
  • Author(s): Priyanka Das
  • Summary:This study presents an optimized approach for integrating multiple sensors to enhance localization accuracy in remotely operated underwater vehicles (ROVs). It explores sensor fusion techniques, error mitigation strategies, and real-time localization improvements using AI-based models.

2. A Comparative Study of Kalman Filters and Particle Filters for Localization in Dynamic Settings for SLAM in Unknown Environments

  • Publication Type: Dataset
  • DOI: 10.5281/zenodo.14498207
  • Author(s): Priyanka Das
  • Summary:This dataset provides a comparative analysis of Kalman Filters and Particle Filters in dynamic environments, focusing on their performance in Simultaneous Localization and Mapping (SLAM) for robots operating in unknown terrains.

3. Advancing Simultaneous Localization and Mapping (SLAM) for Robots in Unstructured Terrain

  • Publication: Journal article
  • DOI: 10.36948/ijfmr.2020.v02i06.25432
  • Author(s): Priyanka Das
  • Summary:This paper investigates the latest advancements in SLAM techniques for robotic navigation in unstructured and unpredictable environments, with an emphasis on sensor fusion, real-time mapping, and adaptive algorithms.

4. Case Studies in ROV Development: Innovations in Underwater Exploration Technology

  • Publication Type: Dataset
  • DOI: 10.5281/zenodo.14434005
  • Author(s): Priyanka Das
  • Summary:A collection of case studies highlighting recent innovations in remotely operated vehicle (ROV) technology, including sensor integration, autonomy, and deep-sea exploration capabilities.

5. Challenges in Designing Motors for Remotely Operated Underwater Vehicles: A Focus on Hydrodynamics

  • Publication Type: Report
  • DOI: 10.5281/zenodo.14538286
  • Author(s): Priyanka Das
  • Summary:This report discusses the hydrodynamic challenges involved in designing efficient motors for underwater ROVs, examining propulsion efficiency, power consumption, and environmental factors affecting performance.

Conclusion:

Priyanka Das is an exceptional candidate for the Best Researcher Award, with notable strengths in impactful research, technical innovation, and industry experience. Her work in advanced robotics and FSS technology has made significant contributions to academia and industry alike. While there is room to expand her publication base and professional recognition, her dedication to engineering excellence and STEM advocacy makes her a strong contender for the award.