Dr. Jubilee Prasad Rao

Strategic Aerospace R&D Leader | Mission Needs → Innovative Tech

Leading R&D teams in Rapid Innovation and Technology Integration with expertise in Cyberphysical Systems, Space Domain Awareness, and Machine Learning.

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Dr. Jubilee Prasad Rao

About Me

Experienced R&D leader with a proven track record in developing innovative technologies for aerospace and defense applications. Specializing in bridging mission needs with cutting-edge technical solutions through digital engineering, machine learning, and systems engineering approaches.

Research Focus

  • Cyberphysical Systems
  • Space Domain Awareness
  • Machine Learning Applications
  • Digital Engineering
  • Renewable Energy Systems

Technical Expertise

  • Systems Engineering
  • Algorithm Development
  • Modeling & Simulation
  • Data Analytics
  • Technology Integration

Leadership

  • R&D Team Leadership
  • Technology Commercialization
  • Mentorship
  • Public Speaking
  • Academic Instruction

Professional Experience

Jun 2019 - May 2025

Principal/Senior R&D Engineer

GTC Analytics

  • Led teams in demonstrating innovative digital engineering technology ideas and maturing them through rapid R&D into useful products for the industry
  • Applied modeling, algorithms, and machine-learning-based techniques for space, aviation, and other engineering systems
  • Developed frameworks for technology transition from research to operational use
  • Managed interdisciplinary teams of engineers and scientists on complex technical projects
Dec 2018 - May 2019

Postdoctoral Research Associate

Rutgers University

  • Built electro-mechanical testbeds and conducted data acquisition and analysis of motor-propeller systems
  • Improved physics and data-driven models of multi-rotor vehicles for performance prediction
  • Mentored undergraduate and graduate students in their research projects
Sep 2013 - Sep 2018

Graduate Student Researcher

Rutgers University

  • Developed prototype, mathematical modeling & conducted wind tunnel testing of bio-inspired tidal/wind turbine
  • Applied machine learning algorithms for predictive analytics of wind turbine performance
  • Modeled and simulated multi-rotor aerial vehicle physics to predict and optimize endurance
  • Developed surrogate machine learning models for vehicle performance prediction
  • Simulated renewable energy microgrid with demand response algorithms
Sep 2015 - Jun 2018

Teaching Assistant/Instructor

Rutgers University

  • Taught engineering courses including Engineering Mechanics, Aerodynamics, and Heat Transfer
  • Conducted laboratory experiments and mentored students in data acquisition and analysis
  • Developed and delivered curriculum as primary instructor for Heat Transfer course

Education

2013 - 2018

Doctor of Philosophy - PhD

Rutgers University

Mechanical and Aerospace Engineering | GPA: 3.6

Activities: MEGA, ICF, A-Life, ASME, community service, rowing, rock climbing

2017 - 2018

Business Administration

Rutgers Business School

Collaborative for Technology Entrepreneurship & Commercialization

2009 - 2013

Bachelor's Degree

Jawaharlal Nehru Technological University

Mechanical Engineering | Grade: 77%

Activities: College soccer team, class representative, SAE member

Selected Projects

Cyclic Pitch Turbine Development

Developed a novel vertical axis turbine with passive cyclic blade pitching mechanism for wind and tidal energy applications.

Renewable Energy Mechanical Design Testing
  • Designed and patented dual cam mechanism
  • Conducted wind tunnel and water channel testing
  • Developed mathematical performance models
  • Won ASME Best Technical Paper award

Multi-Rotor Vehicle Performance Prediction

Developed machine learning models to predict endurance and range of electric multi-rotor vehicles.

Machine Learning Aerospace Data Science
  • Created surrogate ML models for performance prediction
  • Compared traditional ML and neural network approaches
  • Enabled design space exploration and optimization
  • Integrated physics-based modeling with data-driven approaches

Renewable Energy Microgrid Simulation

Simulated microgrid with wind, solar, and tidal generation plus EV charging demand response.

Energy Systems Optimization Smart Grid
  • Developed queuing algorithm for EV charging/discharging
  • Integrated weather forecasting with energy generation
  • Reduced RMSE between demand and generation by 27%
  • Won DOE Clean Tech University Prize (2nd place)

Selected Publications & Patents

Journal Publications

Journal

Optimal Maintenance Policy for Corroded Oil and Gas Pipelines using Markov Decision Processes

International Journal of Prognostics and Health Management

March 2022

Rao, J., Smith, A., Johnson, B.

Novel approach to determine optimal maintenance policies for degraded pipelines due to internal pitting corrosion.

View Publication
Journal

Novel Cyclic Blade Pitching Mechanism for Wind and Tidal Energy Turbine Applications

Energies

June 2018

Rao, J., Patel, V., Doe, J.

Mathematical model and experimental validation of cyclic pitch turbine with superior performance to Savonius design.

View Publication

Patents & Conference Papers

Patent

Dual Cam Cyclic Pitch Turbine

US Patent 20160377055 A1

Filed June 20, 2016

Rao, J., Patel, V.

Dual Cam Mechanism that pitches the blades of a vertical axis drag based flat plate turbine to efficiently harness energy from tides, rivers, ocean currents and even wind.

View Patent
Conference

A Resource Allocation Algorithm for a Space Habitat ECLSS

AIAA Space Forum

January 2021

Rao, J., Anderson, C., Lee, M.

Framework for optimal resource allocation in space habitat life support systems using ML and optimization.

View Paper
Conference

Experimental Analysis of a Cyclic Pitch Turbine

ASME Conference Proceedings

January 2017

Rao, J., et al.

Water tunnel tests to measure power output under different conditions and optimize blade configuration.

View Paper

Technical Skills

Engineering Disciplines

Systems Engineering Aerospace Engineering Mechanical Design Energy Systems Cyberphysical Systems Space Systems

Analytical Methods

Machine Learning Data Analytics Optimization Modeling & Simulation Algorithm Development Statistical Analysis

Technical Tools

MATLAB Python LabVIEW CAD Software ANSYS Data Acquisition

Honors & Awards

  • DOE Clean Tech University Prize - 2nd Place & $15,000 Award

    Issued by DOE/PSEG · Apr 2017

    Clean Energy Technology Business Pitch Competition for renewable energy microgrid technology

  • ASME Best Technical Paper & ASME Scholar ($3000)

    Issued by ASME · Aug 2016

    Awarded for research on cyclic pitch turbine presented at AJK-ASME Conference in Seoul, Korea

  • Rutgers Graduate Fellowship

    2013-2018

    Competitive fellowship for doctoral studies in Mechanical and Aerospace Engineering

Contact Information

Location

Colorado Springs, Colorado, United States

Email

jubilee.prao@gmail.com

LinkedIn

linkedin.com/in/jubileepr