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15–18 Nov 2021 Conference
MNTC Conference Center & Online
US/Central timezone

Scientific Tracks

  • AI, Machine Learning (ML), and Applications

    • General ML | Active/Supervised Learning
    • Clustering/Unsupervised Learning
    • Online Learning | Learning to rank
    • Reinforcement Learning | Deep Learning (DL)
    • Semi/Self Supervised Learning
    • Time Series Analysis | Prediction/Forecasting
    • DL Architectures/Generative-Models
    • Deep Reinforcement Learning
    • Computational Learning Theory
    • Bandit/Game/Statistical-Learning Theory
    • Optimization Methods and Techniques
    • Convex/Non-Convex Optimization
    • Matrix/Tensor Methods
    • Stochastic/Online Optimizations
    • Non-Smooth/Composite Optimization
    • Probabilistic Inference | Graphical Models
    • Bayesian/Monte-Carlo Methods
    • Trustworthy Machine Learning
    • ML Accountability/Causality
    • ML Fairness/Privacy/Robustness
    • Healthcare/DNA/Transportation
    • Digital-Economy | Ecommerce Security
    • Sustainability | Energy | Green Technology
    • Language | Image
    • Recommendation Systems
  • Agent-based, Automated, and Distributed Supports

    • Multi-Agent Systems | Software Agents
    • Dialogue System | Conversational Agent
    • Decentralized/Distributed Intelligence
    • Context-Aware Computing
    • Group Decision Support Systems
    • Intelligent Structures/Networks
    • Design/Automation Approaches
    • Sensor Networks Architectures
    • Complex Manufacturing Processes
    • Analytical Models | Path Planning
    • Multistage Assembly Line
    • Automated Inspection
    • Natural Language Processing
  • Natural Language Processing (NLP)

    • Conversational Agents | Dialogue System
    • Large Language Models | Grammatical Tagging
    • Natural Language Generation/Toolkit
    • Linguistic Morphology | Morphological Analysis
    • Morphemesx Characteristics
    • Language Models and Smoothing
    • Document/Topic Classification/Notation
    • Sequence Labeling |Speech Tagging
    • Named Entity Recognition
    • Lexical Semantics | Word Embeddings
    • Phrase Structure | Dependency Syntax
    • Sentence Semantics | Speech Recognition
    • Question Answering | Machine Translation
    • Document Summarization | Sentiment analysis
    • Co-Reference Resolution
    • Word sense disambiguation
    • NLP Tools/Approaches | Statistical NLP
    • AI/Machine/Deep Learning Techniques for NPL
    • Convolutional/Recurrent Neural Networks
  • Intelligent Systems and Applications

    • Medical Nanorobotics |
    • Sensory/Embedded Systems
    • Embedded Systems | Digital Manufacturing
    • Optimization/Evolutionary Algorithms
    • Bioinformatics/Biotechnology Applications
    • Computer-Vision Applications
    • Sensor-Networks Applications
    • Intelligent Design | Fuzzy Systems
    • Soft/Ubiquitous Computing
    • Pervasive/Wearable Computing
    • Intelligence Manufacturing | Microsatellite
    • Cyber-physical Systems | Kinematics
  • Knowledge-based and Control Supports

    • Expert/Complex Systems
    • Decision-Support Systems
    • Intelligent Control/Supervision Systems
    • Knowledge Engineering
    • Neural Networks | Structural Optimization
    • Intelligent Teleoperation
    • Intelligent Shopfloor
    • Collision Avoidance | Fault Diagnosis
    • Object Detection and Tracking | Path Planning
    • Position/Quality/Motion Control
    • Predictive Control
    • Preventive Maintenance | Defect Detection
  • Robotics and Vehicles

    • Unmanned Vehicles/Robots
    • Autonomous Vehicles/Robots
    • Human-Robot Interfaces
    • Human-Robot Interactions
    • Intelligent Telerobotics | Service Robots
    • Robotic Manipulators/Arms
    • Robotic Applications
    • Self-Driving Vehicles | Cloud-based Driving
    • Vehicular ad hoc Networks |Traffic Detection