Conference Tracks

Objective and Areas of Interest:

IHSI Conference aims to provide a global forum for presenting and discussing novel approaches, design tools, methodologies, techniques, and solutions for integrating people, intelligent technologies and automation, and artificial cognitive systems in all areas of human endeavor in industry, economy, government, and education, including but not limited to energy, transportation, urbanization and infrastructure development, digital manufacturing, social development, human health, sustainability, new generation of service systems, as well as safety, risk assurance, autonomy, and cybersecurity in both civilian and military contexts. 

IHSI Conference focus on advancing the theory and applications of artificial cognitive systems and human-artificial systems collaboration by adopting a hybrid-centered design approach that utilizes and expands on the current knowledge of human-centered design and intelligent systems supported by cognitive software and engineering, smart data analytics, large scale socioeconomic simulations, and next generation computer visualization.  This interdisciplinary conference will also expand the boundaries of the current state-of-the-art by investigating the pervasive complexity that underlies the most profound problems facing contemporary society today. 

All submitted papers will be peer-reviewed by three independent referees from the International Editorial Board. Papers in the theoretical category should deal with theories, models, concepts, and structures; papers in the generic category should present research results of broad applicability; and papers in the applied category should show how research is translated into technological innovations for intelligent human-artificial systems collaboration.

For the Scientific Advisory Board (SAB) click here

Conference Tracks:

IHSI 1: Automotive Design and Transportation Engineering

Automotive design is the Human- Centred Design (HCD) development and refinement of the exteriors and interiors of automobiles, sport utility vehicles (SUVs), luxury cars, high performance cars and, to a lesser extent, motorcycles, trucks, buses, coaches, and vans.The conference also covers, in dedicated sessions, various topics of Autonomous and self-driving Vehicle and Artificial Intelligence to address the challenges and opportunities of developing AI and software platforms for autonomous and self-driving vehicles. Topics of interest include but are not limited to:

  • Styling, appearance, Emotional Design
  • Driver Ergonomics
  • Drive Experience
  • Active and passive Safety
  • Comfort
  • Onboard electronic devices, Infotainment systems and interfaces
  • Driver monitoring
  • Open-source platforms
  • Sensor fusion and deep learning
  • Real-time multi-sensor frameworks
  • Developing robust cyber defense
  • Creating development platforms
  • Vision algorithms
  • Machine learning
  • AI development
  • Real-time end-to-end mapping
  • Tools for testing, debugging and integrating
IHSI 2: Humans and Artificial Cognitive Systems

  • Hybrid Cognitive-Centered Systems
  • Emergent Properties of Human Behavior
  • Computational Neuroscience
  • Complex Human-Systems Integration
  • Human-Machine Teaming and Collaboration
  • Intelligent Interfaces for Human-Artificial Systems
  • Human Wearable Sensors and Technologies
  • Complex Evolutionary and Adaptive Cognitive Systems
  • Self-Organizing and Smart Human-Centered Systems
  • Biological and Social Inspirations of Human Decision-Making
  • IHSI 3: Intelligence Technology and Analytics

  • Intelligent Service Systems and Semantic Computing
  • Autonomous Transportation Systems
  • Smart Infrastructure Design
  • Analytics and Deep Learning
  • Design of Cognitive environments and Smart Cities
  • Intelligent Sensors: Human Performance Applications
  • Energy and Smart Power Systems
  • Interfaces for Intelligent Robots and Unmanned Systems
  • Intelligent Vehicles and Autonomous Cars
  • Smart Industrial Automation and Manufacturing
  • Cybersecurity, Privacy and Trust
  • Intelligent Safety Systems and Risk Management
  • Smart Healthcare and Medical Devices
  • IHSI 4: Computational Modeling and Simulation

  • Embedded Smart Human Agents
  • Intelligent Decision Support Systems
  • Brain-Inspired Modeling and Simulation
  • Digital Worlds and Visualization
  • Smart Agent-Based Simulation
  • Automated Data Exploration and Knowledge Discovery
  • Data Analytics and Deep Machine Learning for HSI
  • Intelligent Problem Solving
  • Cognitively-Based Systems Integration
  • Virtual Humans & Virtual Worlds
  • Intelligent Systems: Modeling and Optimization
  • Pervasive and Ubiquitous Intelligent Systems
  • Intelligent Software and Systems Engineering
  • IHSI 5: Humans and Artificial Systems Complexity

  • Hybrid Human-Artificial Systems Centered Design
  • Context Awareness, Social Sensing and Inference Modeling
  • Complexity, Uncertainty and Chaos Modeling
  • Human-Artificial Systems Collaboration
  • Multi-Modal Interaction Design
  • Modeling of Complex Systems Dynamics
  • Usability and User Experience with Artificial Cognitive Systems
  • Hybrid Cognitive Systems Engineering
  • Dependability and Reliability of Autonomous Systems
  • IHSI 6: Smart Materials and Inclusive Human Systems

  • Smart materials design and applications
  • Materials, technologies and creative process
  • Emotional relationship and properties of materials
  • Methodological Approaches for inclusion and human systems
  • Design of Inclusive Human-Machine Systems
  • Inclusion for Real-world Applications
  • Human diversity in the techno-sphere
  • Biomaterials and technologies for sustainability
  • Innovation through materials
  • Materials classifications and human senses
  • Smart materials and additive manufacturing
  • Biologic and biomimetic systems inspiring intelligent systems
  • Materials for damage sensing
  • Phase change materials
  • IHSI 7: Human-Autonomy Teaming

    The term of Human-Autonomy Teaming (HAT) describes systems in which humans work with highly automated agents. Traditionally exclusively owned by the human, higher cognitive capabilities (e.g., situation assessment, planning, and decision-making) are now becoming an integral part of automated functions. The more capable suchlike agents become, the more essential the challenging issue of human-system functional allocation and integration turns out to be. This conference track shall address the issues of conceptual design, integration, and evaluation of HAT-systems. Design patterns for human-agent cooperation shall be investigated.

    Topics of interest:
    a. Adaptive Automation
    b. Artificial Intelligent Agents
    c. Delegation Systems
    d. Human Mental State Estimation and Modelling
    e. Mixed-Initiative Planning and Operation
    f. Multi-Agent Systems
    g. Operator Assistance
    h. Teams and Swarms
    i. Trust and Situation Awareness
    j. Unmanned Systems

    IHSI 8: Applications and Future Trends

    IHSI Applications and Future Trends track will focus on key research topics that are aligned with the concept of Human System Integration. Topics of interest include but are not limited to:
    a. Visualizations to reveal system operation
    b. Interface design for human control
    c. Modular design and support for continuous system improvements
    d. Systematic logging to support retrospective analyses of failures
    e. Mechanism to enable reports of failures and near-failures
    f. Continuous participation of experts to support improvements
    g. Clarification of responsibility for failures and successes
    h. Algorithmic accountability and transparency
    i. Ethical concerns and considerations


    An academic institution is an entity, such as a university or college, that runs independently from other like entities and has its own set of rules and business processes.
    An industry is a group of companies that are related based on their primary business activities. In modern economies, there are dozens of industry classifications, which are typically grouped into larger categories called sectors.
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