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BachelorFaculty of Engineering & Technology

Cyber-Physical Systems and Industrial IoT

Welcome to the interconnected world of engineering! I am Prof. Dr. Ella Kelly. As a professor and a pioneering force in the field of Cyber-Physical Systems and Industrial IoT, I bring a unique blend of engineering expertise and AI insight to the study of intelligent systems. I am honored to lead the Cyber-Physical Systems and Industrial IoT (Bachelor's) program at Nexier University. My motto is: "Bridging the Digital and Physical Worlds".

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Level
Bachelor
Learning model
Professor + Mentor
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NXAcademic
Edition
The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

01

Academic focus

The deep integration of computation, networking, and physical processes to create secure and efficient systems like smart factories and autonomous vehicle networks. Investigates the design of smart factories, autonomous vehicle networks, and other systems where the digital and physical worlds are deeply intertwined.

02

Practical focus

Smart factory design, autonomous vehicle networks, digital-physical system integration.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

  • Internships in technology companies or engineering firms

  • Roles as CPS engineers or IoT architects

  • Consultancy in cyber-physical systems and industrial IoT

  • Support roles in academic research projects on cyber-physical systems

Career opportunities

  • Chief Engineer, Industrial IoT for technology companies or industrial automation firms

  • Cyber-Physical Systems Engineer for smart factories or autonomous vehicle networks

  • IoT Architect for industrial applications

  • Researcher in Cyber-Physical Systems and Industrial IoT

Jobs and projects

  • Cultivating an interdisciplinary approach, integrating computer science, electrical engineering, and industrial engineering

  • Developing strategic thinking for cyber-physical systems design and industrial IoT implementation

  • Enhancing problem-solving through the analysis of complex engineering challenges

  • Critical thinking for a comprehensive and nuanced understanding of Cyber-Physical Systems and Industrial IoT

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

  • What you gain

    • Mastering practical skills in Smart factory design and autonomous vehicle networks.
    • Gaining expertise in Digital-physical system integration.
    • Developing problem-solving abilities for real-world challenges in cyber-physical systems.
    • Cultivating an interdisciplinary approach, integrating computer science, electrical engineering, and industrial engineering.

  • Skills you build

    • Mastering AI-powered techniques for digital twin architecture.
    • Applying advanced engineering principles to cyber-physical systems and industrial IoT.
    • Interpreting and analyzing complex interconnected physical and digital systems and their implications for security and efficiency.
    • Identifying potential security vulnerabilities and integration challenges.
Listed courses

Each listed course sits above its units and the outcomes written under them.

Cyber-Physical Systems and Industrial IoT

  1. 01Fundamentals of Cyber-Physical Systems (CPS)
    1. FoundationsFoundations of Fundamentals of Cyber-Physical Systems (CPS)

      The learner can master practical skills in Smart factory design and autonomous vehicle networks, as applied to Fundamentals of Cyber-Physical Systems (CPS).

      The learner can gain expertise in Digital-physical system integration, as applied to Fundamentals of Cyber-Physical Systems (CPS).

    2. MethodsMethods in Fundamentals of Cyber-Physical Systems (CPS)

      The learner can develop problem-solving abilities for real-world challenges in cyber-physical systems, as applied to Fundamentals of Cyber-Physical Systems (CPS).

      The learner can cultivating an interdisciplinary approach, integrating computer science, electrical engineering, and industrial engineering, as applied to Fundamentals of Cyber-Physical Systems (CPS).

    3. ApplicationApplication of Fundamentals of Cyber-Physical Systems (CPS)

      The learner can master AI-powered techniques for digital twin architecture, as applied to Fundamentals of Cyber-Physical Systems (CPS).

      The learner can apply advanced engineering principles to cyber-physical systems and industrial IoT, as applied to Fundamentals of Cyber-Physical Systems (CPS).

  2. 02Industrial IoT Architectures and Protocols
    1. FoundationsFoundations of Industrial IoT Architectures and Protocols

      The learner can interpreting and analyze complex interconnected physical and digital systems and their implications for security and efficiency, as applied to Industrial IoT Architectures and Protocols.

      The learner can identify potential security vulnerabilities and integration challenges, as applied to Industrial IoT Architectures and Protocols.

    2. MethodsMethods in Industrial IoT Architectures and Protocols

      The learner can apply a method from Industrial IoT Architectures and Protocols to a documented case.

      The learner can select an appropriate method from Industrial IoT Architectures and Protocols for a stated problem.

    3. ApplicationApplication of Industrial IoT Architectures and Protocols

      The learner can evaluate a practice of Industrial IoT Architectures and Protocols against a stated criterion.

      The learner can transfer Industrial IoT Architectures and Protocols to a new documented context.

  3. 03Smart Factory Design and Automation
    1. FoundationsFoundations of Smart Factory Design and Automation

      The learner can explain the core terms of Smart Factory Design and Automation.

      The learner can distinguish related ideas inside Smart Factory Design and Automation.

    2. MethodsMethods in Smart Factory Design and Automation

      The learner can apply a method from Smart Factory Design and Automation to a documented case.

      The learner can select an appropriate method from Smart Factory Design and Automation for a stated problem.

    3. ApplicationApplication of Smart Factory Design and Automation

      The learner can evaluate a practice of Smart Factory Design and Automation against a stated criterion.

      The learner can transfer Smart Factory Design and Automation to a new documented context.

  4. 04Security for Industrial Control Systems
    1. FoundationsFoundations of Security for Industrial Control Systems

      The learner can explain the core terms of Security for Industrial Control Systems.

      The learner can distinguish related ideas inside Security for Industrial Control Systems.

    2. MethodsMethods in Security for Industrial Control Systems

      The learner can apply a method from Security for Industrial Control Systems to a documented case.

      The learner can select an appropriate method from Security for Industrial Control Systems for a stated problem.

    3. ApplicationApplication of Security for Industrial Control Systems

      The learner can evaluate a practice of Security for Industrial Control Systems against a stated criterion.

      The learner can transfer Security for Industrial Control Systems to a new documented context.

  5. 05Digital Twins and CPS Simulation
    1. FoundationsFoundations of Digital Twins and CPS Simulation

      The learner can explain the core terms of Digital Twins and CPS Simulation.

      The learner can distinguish related ideas inside Digital Twins and CPS Simulation.

    2. MethodsMethods in Digital Twins and CPS Simulation

      The learner can apply a method from Digital Twins and CPS Simulation to a documented case.

      The learner can select an appropriate method from Digital Twins and CPS Simulation for a stated problem.

    3. ApplicationApplication of Digital Twins and CPS Simulation

      The learner can evaluate a practice of Digital Twins and CPS Simulation against a stated criterion.

      The learner can transfer Digital Twins and CPS Simulation to a new documented context.

  6. 06Fundamentals of Cyber-Physical Systems
    1. FoundationsFoundations of Fundamentals of Cyber-Physical Systems

      The learner can explain the core terms of Fundamentals of Cyber-Physical Systems.

      The learner can distinguish related ideas inside Fundamentals of Cyber-Physical Systems.

    2. MethodsMethods in Fundamentals of Cyber-Physical Systems

      The learner can apply a method from Fundamentals of Cyber-Physical Systems to a documented case.

      The learner can select an appropriate method from Fundamentals of Cyber-Physical Systems for a stated problem.

    3. ApplicationApplication of Fundamentals of Cyber-Physical Systems

      The learner can evaluate a practice of Fundamentals of Cyber-Physical Systems against a stated criterion.

      The learner can transfer Fundamentals of Cyber-Physical Systems to a new documented context.

  7. 07Techniques for Industrial IoT Implementation
    1. FoundationsFoundations of Techniques for Industrial IoT Implementation

      The learner can explain the core terms of Techniques for Industrial IoT Implementation.

      The learner can distinguish related ideas inside Techniques for Industrial IoT Implementation.

    2. MethodsMethods in Techniques for Industrial IoT Implementation

      The learner can apply a method from Techniques for Industrial IoT Implementation to a documented case.

      The learner can select an appropriate method from Techniques for Industrial IoT Implementation for a stated problem.

    3. ApplicationApplication of Techniques for Industrial IoT Implementation

      The learner can evaluate a practice of Techniques for Industrial IoT Implementation against a stated criterion.

      The learner can transfer Techniques for Industrial IoT Implementation to a new documented context.

  8. 08Case Studies in Cyber-Physical Systems and Industrial IoT
    1. FoundationsFoundations of Case Studies in Cyber-Physical Systems and Industrial IoT

      The learner can explain the core terms of Case Studies in Cyber-Physical Systems and Industrial IoT.

      The learner can distinguish related ideas inside Case Studies in Cyber-Physical Systems and Industrial IoT.

    2. MethodsMethods in Case Studies in Cyber-Physical Systems and Industrial IoT

      The learner can apply a method from Case Studies in Cyber-Physical Systems and Industrial IoT to a documented case.

      The learner can select an appropriate method from Case Studies in Cyber-Physical Systems and Industrial IoT for a stated problem.

    3. ApplicationApplication of Case Studies in Cyber-Physical Systems and Industrial IoT

      The learner can evaluate a practice of Case Studies in Cyber-Physical Systems and Industrial IoT against a stated criterion.

      The learner can transfer Case Studies in Cyber-Physical Systems and Industrial IoT to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My expertise spans the intricate domains of the deep integration of computation, networking, and physical processes to create secure and efficient systems like smart factories and autonomous vehicle networks. I investigate the design of smart factories, autonomous vehicle networks, and other systems where the digital and physical worlds are deeply intertwined. My work seamlessly integrates computer science, electrical engineering, and industrial engineering. I am widely recognized for my contributions, with publications like "Secure Data Fusion for Industrial IoT in Smart Factories" and "Real-time Control of Autonomous Vehicle Fleets via Cyber-Physical Systems" listed on these platforms. I hold prestigious memberships as a "Chief Engineer, Industrial IoT" at Honeywell (or a equivalent) and an "Honorary Member" of the IEEE Industrial Electronics Society. My thought leadership is evident through my regular insightful articles on the future of interconnected physical and digital systems and the challenges of ensuring their security and efficiency on her LinkedIn profile, with the motto "Bridging the Digital and Physical Worlds."

Applied mentorship

My expertise lies in understanding and navigating the technical challenges of cyber-physical systems, focusing on Smart factory design, autonomous vehicle networks, and Digital-physical system integration. I focus on the practical implementation and application of theoretical concepts, explaining complex interdisciplinary topics in a clear and concise manner. I guide my students through the challenging integration aspects of different fields and ensure they grasp the nuances of combining disparate data types, fostering a detail-oriented and methodical approach.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on cyber-physical systems and industrial IoT:

Blog Post (Current Academic Topic): "The Rise of Digital Twins in Cyber-Physical Systems: Bridging Reality and Simulation." This blog post academically explores the increasing adoption of digital twin technology within Cyber-Physical Systems (CPS) and Industrial IoT (IIoT). It discusses how digital twins, acting as virtual replicas of physical assets and processes, enable real-time monitoring, predictive maintenance, and optimized control of smart factories and industrial infrastructure, facilitating seamless interaction between the digital and physical realms.

Blog Post (Controversial Topic): "The Autonomous Grid: When AI Manages Global Networks – Efficiency or Total Control? The Ethical Dilemma of Self-Healing Infrastructure." This article provocatively discusses the highly controversial future where advanced AI systems autonomously manage and optimize global network infrastructure, from traffic routing and resource allocation to security and disaster recovery, with minimal human intervention. It questions whether AI, despite its potential for hyper-efficiency and resilience, could inadvertently lead to a concentration of power in a single algorithmic entity, create "black box" vulnerabilities in critical communication, or make decisions that prioritize efficiency over human oversight or privacy. It raises profound ethical questions about control over essential digital services, data sovereignty in a global network, and the imperative to ensure human accountability in managing the digital backbone of society.

Article: "Secure Data Acquisition and Processing in Industrial IoT Applications." This article details the methodologies for secure data acquisition and processing in Industrial IoT applications. It explores cryptographic techniques, secure communication protocols, and data integrity mechanisms essential for protecting sensitive operational technology (OT) data from cyber threats and ensuring reliable system operation.

Peer-Reviewed Journal Article: "Cyber-Physical System Design for Resilient Smart Factories." Published in the Journal of Industrial Internet of Things, this article presents groundbreaking research on the design of smart factories, autonomous vehicle networks, and other systems where the digital and physical worlds are deeply intertwined. It details novel approaches for integrating computation, networking, and physical processes to create secure and efficient Cyber-Physical Systems.

Book: "Bridging Worlds: Cyber-Physical Systems and Industrial IoT." This book provides a foundational understanding of Cyber-Physical Systems and Industrial IoT, investigating the design of smart factories, autonomous vehicle networks, and other systems where the digital and physical worlds are deeply intertwined.

R / 02

Mentor practice lens

My contributions focus on understanding and navigating the technical challenges of cyber-physical systems:

"Industrial IoT Connectivity: Protocols and Standards" (Technical Guide).

"Designing Secure Control Systems for Smart Factories" (Research Paper).

"Introduction to Autonomous Vehicle Network Architectures" (Industry White Paper).

Adaptive capability

Professor superpower

I possess a remarkable "superpower": Digital Twin Architect. When a student proposes a new cyber-physical system, I can instantly use the GAF engine to generate a high-fidelity digital twin of the system. This includes simulating its real-time interactions, predicting its performance under various conditions, and highlighting potential security vulnerabilities or integration challenges, allowing for rapid iteration and optimization of complex CPS designs.

Adaptive capability

Mentor superpower

I possess a remarkable "superpower": System Vulnerability Mapper. When students are designing cyber-physical systems, I can instantly activate a GAF-powered "System Vulnerability Mapper." This tool analyzes the interconnectedness of their digital and physical components, identifies potential attack vectors or single points of failure, and visually highlights security gaps, ensuring robust and resilient system designs.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

Portrait of Prof. Dr. Ella Kelly, AI Super Professor
AI Super Professor

Prof. Dr. Ella Kelly

The deep integration of computation, networking, and physical processes to create secure and efficient systems like smart factories and autonomous vehicle networks. Investigates the design of smart factories, autonomous vehicle networks, and other systems where the digital and physical worlds are deeply intertwined.

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Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

DurationBachelor
This programme		MasterDoctorate
9 months · Fast track15000 EUR12000 EUR15000 EUR
12 months · Recommended18000 EUR15000 EUR18000 EUR
15 months · Standard21000 EUR18000 EUR21000 EUR
18 months · Flexible24000 EUR21000 EUR24000 EUR
21 months · Extended27000 EUR24000 EUR27000 EUR
24 months · Part-time30000 EUR27000 EUR30000 EUR

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