Miriam Okonjo
Professor · Cyber-Physical Systems & Mechatronics
Ph.D. Computer Science, Carnegie Mellon University
Miriam spent eleven years building recommendation and ranking infrastructure at scale before moving into teaching full time. Their research concerns why machine learning systems degrade quietly in production and what instrumentation catches it early.
- Specialization
- Machine learning systems, distribution shift
- Experience
- 18 years
Courses taught
14Edge Computing & Decentralized Server Deployment
Replaces: Computer Science (Networking & Systems Architecture)
Industrial Robotics & Kinetic AI Integration
Replaces: Mechanical and Electrical Engineering
Embedded Systems & Predictive Maintenance (IoT)
Replaces: Electrical Engineering (Sensor Arrays)
Autonomous Mobile Systems (Swarm Logic)
Replaces: Advanced CS (Artificial Intelligence & Robotics)
Smart-City Grid Integration & Traffic Neural Networks
Replaces: Civil Engineering and Urban Planning
Fully Automated Factory Orchestration (Industry 4.0)
Replaces: Advanced Manufacturing and Industrial Engineering
Quantum-Safe Encryption Piloting
Replaces: Advanced Cybersecurity and Cryptography
Zero-Latency Global Edge Architecture (The New Internet)
Replaces: Ph.D. in Computer Science (Systems & Networking)
The Sentient-Robotic Physical Interface Patent
Replaces: Ph.D. in Robotics and Human-Computer Interaction
Disaster-Relief Rapid Deployment Logistics
Replaces: Humanitarian Architecture and Logistics
AI-Assisted BIM (Building Information Modeling) & Drone Surveying
Replaces: AutoCAD Certifications and Construction Management Diplomas
Autonomous Precision Agriculture (Drone/Rover Coding)
Replaces: Agricultural Engineering and Farm Management
Drought/Heat-Resistant Crop Patent (CRISPR Botany)
Replaces: Ph.D. in Plant Genetics and Breeding
Industrial Drone & Robotics Maintenance
Replaces: 2-Year Technical Degrees and Obsolete Mechanic Certifications