Dr. Jubilee Prasad Rao
CEO, R4C Tech
Building operational observability and AI intelligence for systems that can't afford to be blind. Arc Suite is deployed at the U.S. Space Force SDA TAP Lab, integrating services from 100+ organizations into a single operational picture. R4C Tech also builds TruePencil, keystroke-level AI detection for educators.
About Me
I build AI automation and decision-support tools for systems that can't afford to be blind. CEO of R4C Tech, whose products include Arc Suite (operational observability for the U.S. Space Force SDA TAP Lab) and TruePencil (keystroke-level AI detection for educators). $2.5M+ in federal R&D across Space Force, NASA, Army, Navy, DTRA, and DHS.
Currently Building
R4C Tech LLC: Mission software for aerospace and defense, focused on Space Domain Awareness. Serving the Space Force SDA TAP Lab ecosystem. Products: Arc Suite, T3, and L-WANE.
TruePencil: Keystroke-level AI detection for educators. Because probability scores aren't proof.
Professional Experience
Principal R&D Engineer
GTC Analytics
~$500K in contracts • Coordinating 25+ companies
- Principal Investigator - NASA SBIR Phase II ($800K) for satellite health monitoring
- Proposals & Contracts - Directly responsible for ~($2.5M) in contracts
- Lead Engineer - U.S. Space Force rocket launch detection systems using seismic/infrasound data
- Lead Engineer - U.S. Army military vehicle cybersecurity (99.9% detection accuracy)
- Key Contributor - DTRA and DHS multi-source radiation threat localization (100x efficiency improvement)
- Briefed Gen. Michael A. Guetlein (then Vice Chief of Space Operations), Gen. Douglas A. Schiess (now Chief of Space Operations), and Congressional committees
- Led multi-agency and intl. collaborations with NASA, Space Force, Army, Navy, DTRA, and private organizations
- University collaborations with Georgia Tech, Vanderbilt Univ., Naval Post Graduate School, and Univ. of Michigan.
Postdoctoral Research Associate
Rutgers University
- Developed and optimized hybrid air and underwater multi-rotor vehicles
- Enhanced simulation models for multi-rotor vehicle performance prediction
- Created AI-based surrogate models achieving 98% accuracy
- Mentored undergraduate and graduate research students
Graduate Student Researcher
Rutgers University
- Developed a novel cyclic pitch wind/tidal turbine technology
- Conducted extensive wind tunnel and water channel testing
- Applied machine learning models for renewable energy system optimization
- Won DOE CleanTech Prize (2nd place, $15K, 1st was Princeton)
- Received ASME Best Technical Paper Award $3K in Seoul, South Korea
Teaching Assistant/Instructor
Rutgers University
- Primary instructor for Engineering Statics (100+ students) and Heat Transfer
- Assisted in teaching courses in Engineering Statics, Aerodynamics, and Thermodynamics
- Developed and delivered curriculum and planned and coordinated exams
- Mentored students in laboratory experiments and data analysis
Major Projects & Research Programs
Satellite Health Monitoring Framework
Principal Investigator - Developed reusable cyber-physical fault detection tools for satellites and UAVs achieving 90% anomaly detection with <1% false positives.
- Reduces small satellite development costs
- Real-time anomaly detection algorithms
- Scalability and rapid adoptability
- Technology proven on operational datasets
Space Domain Awareness Battle Management
Subsystem Lead - Led Hostility Monitoring subsystem for Welder's Arc battle management system, coordinating 25+ companies.
- Foreign rocket launch detection using seismic/infrasound
- Reduced response generation time from hours to <1 minute
- Automated threat assessment workflows
- Briefed 3 and 4 star generals and Congress members
Military Vehicle Cybersecurity
Lead Engineer - Implemented cyber-physical intrusion detection system for military ground vehicles achieving 99.9% detection accuracy.
- Clock-based intrusion detection system (CIDS)
- Hardware testbed with multiple attack scenarios
- 99.9% accuracy across suspension, injection, masquerading attacks
- Collaboration with U.S. Army GVSC officials
Pilot Training Optimization
Lead Engineer - Machine learning system for predicting pilot training attrition, potentially saving $20M annually.
- Pre-identified 50% of attrition cases
- Optimized training assignment algorithms
- Enhanced military readiness
- Collaborative research with Navy personnel
Radiation Threat Detection
Key Contributor - Developed radiation localization algorithms achieving 100x computational efficiency improvement.
- Multi-source radiation localization
- Real-time deployment on mobile platforms
- Automated nuclear threat search pipeline
- 100x efficiency improvement for edge deployment
Cyclic Pitch Turbine
Inventor - Developed a novel vertical axis turbine with 30% higher efficiency than conventional designs.
- Dual cam cyclic pitching mechanism
- Wind tunnel and water channel validated
- Won ASME Best Technical Paper award
- DOE CleanTech Prize (2nd place, $15K)
Selected Publications & Patents
Utilizing Civilian Launches as Live Exercises for Evaluating a Federated Protect and Defend SDA Battle Management System
The Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), September 2025, p. 86
Uses civilian rocket launches as live exercises to evaluate a federated protect-and-defend Space Domain Awareness battle management system.
Machine learning-based surrogates for eVTOL performance prediction and design optimization
Metascience in Aerospace, Volume 1, Pages 246-267
Developed advanced machine learning surrogates for electric vertical takeoff and landing vehicle performance optimization, enabling rapid design space exploration for next-generation aviation systems.
Smart Buildings in the IoT Era: Necessity, Challenges, and Opportunities
Handbook of Smart Energy Systems (Springer), Pages 1915-1935
Book chapter reviewing sensing technologies, machine learning-based occupancy detection, applications, and interoperability challenges for IoT-enabled smart buildings and smart cities.
Detecting Manufacturing Defects in PCBs via Data-Centric Machine Learning on Solder Paste Inspection Features
arXiv preprint arXiv:2309.03113
Data-centric machine learning approach to detect PCB manufacturing defects across 15,000 PCBs, improving automated quality control in electronics manufacturing.
Attrition Risk and Aircraft Suitability Prediction in US Navy Pilot Training Using Machine Learning
Aerospace, Volume 10, Issue 4, Article 379
Collaborative research with U.S. Navy personnel developing machine learning algorithms to predict pilot training outcomes, with potential to save $20M annually through optimized training assignments.
A Reusable Framework for Fault Detection and Isolation in Small Satellites
37th Annual Small Satellite Conference
Presented NASA-funded framework achieving nearly 90% anomaly detection with <1% false positives in satellite systems with reusable, rapidly deployable architecture reducing small satellite development costs.
Experimental study into optimal configuration and operation of two-four rotor coaxial systems for EVTOL vehicles
Aerospace, Volume 9, Issue 8, Article 452
Comprehensive experimental analysis of coaxial rotor configurations for electric aviation, providing critical design insights for emerging urban air mobility systems.
Novel Cyclic Blade Pitching Mechanism for Wind and Tidal Energy Turbine Applications
Energies, Volume 11, Issue 12, Article 3328
Mathematical model and experimental validation of patented cyclic pitch turbine demonstrating superior performance to conventional Savonius designs.
Dual Cam Cyclic Pitch Turbine
US Patent Application 20160377055 A1
Patent: Dual cam mechanism that pitches the blades of a vertical axis turbine to efficiently harness energy from tides, rivers, ocean currents and wind, achieving 30% higher efficiency than conventional designs.
Detecting Anomalous Behavior in Aerial Vehicles
US Patent Application 18/460,926 A1
Patent:Detecting anomalies in aerial vehicle components using unsupervised machine learning and graph techniques
Publication Summary: 19 total publications • 95 citations • H-index: 6 • i10-index: 3
Published in top-ranked journals including Aerospace (#9 in Aerospace Engineering) and Energies (#9 in sustainable energy)
Honors, Awards & Recognition
Federal Recognition & Leadership
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NASA SBIR Phase II Principal Investigator
$800,000 Award • 2022-2024
Selected as PI for highly competitive NASA SBIR Phase II program with <10% acceptance rate, developing satellite health monitoring technology.
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U.S. Space Force Subsystem Lead
~$500,000 in contracts • 2024-2025
Selected to lead Hostility Monitoring subsystem for critical space defense program, coordinating 25+ companies in battle management system development.
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Multiple Federal Funding Awards
$2.5M+ total funding acquired
Principal Investigator and Lead Engineer on projects for NASA, Space Force, Army, Navy, and Department of Energy.
Academic & Professional Awards
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DOE CleanTech University Prize - 2nd Place
$15,000 Award • 2017
National competition for renewable energy technology business pitch, recognizing innovation in clean energy microgrid technology.
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ASME Best Technical Paper & Scholar Award
$3,000 Award • 2015
Recognized for outstanding research on cyclic pitch turbine technology at international AJK-ASME Conference in Seoul, South Korea.
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Rutgers Graduate Assistantship and Grants
2013-2018
Competitive assistantship and grants for doctoral studies and research in Mechanical and Aerospace Engineering.
Professional Service & Leadership
Editorial & Review Service
- Peer reviewer for:
- Aerospace (#9 in Aerospace Engineering)
- Energies (#9 in sustainable energy)
- International Journal of Prognostics and Health Management (IJPHM)
- Technical committee member PHM Society conferences
- Session chair for technical paper sessions
Professional Memberships
- SAE IVHM & Cybersecurity Committee Member
- PHM Society Member
- ASME Member
- AIAA Member
- Sigma Xi Member
- Contributing to industry standards development
Invited Presentations
- NASA Prognostics Center of Excellence
- NSF Cyber-Physical Systems Symposium
- University of Memphis: 2025 Cyber Resilient EVCS Workshop
- PHM Society Cybersecurity Panel
- Congressional committee and military briefings
Technical Expertise
Space & Defense Systems
Cyber-Physical Security
AI & Machine Learning
Contact Information
Location
Colorado Springs, Colorado, United States