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Research Topics in AI/ML/DL/Neural Networks, Computer Vision, Robotics

RWTH Aachen University_020722A
[RWTH Aachen University, Germany]
 
 

1. Knowledge Representation and Reasoning (KR)

  • Applications of KR
  • Argumentation
  • Belief revision and update, belief merging, information fusion
  • Commonsense reasoning
  • Computational aspects of knowledge representation
  • Concept formation, similarity-based reasoning
  • Contextual reasoning
  • Decision making
  • Description logics
  • Explanation finding, diagnosis, causal reasoning, abduction
  • Geometric, spatial, and temporal reasoning
  • Inconsistency- and exception-tolerant reasoning, paraconsistent logics
  • KR and autonomous agents and multi-agent systems
  • KR and cognitive robotics
  • KR and cyber security
  • KR and education
  • KR and game theory
  • KR and machine learning, inductive logic programming, knowledge acquisition
  • KR and natural language processing and understanding
  • KR and the Web, Semantic Web
  • Knowledge graphs and open linked data
  • Knowledge representation languages
  • Logic programming, answer set programming
  • Modeling and reasoning about preferences
  • Multi- and order-sorted representations and reasoning
  • Nonmonotonic logics, default logics, conditional logics
  • Ontology formalisms and models
  • Ontology-based data access, integration, and exchange
  • Philosophical foundations of KR
  • Qualitative reasoning, reasoning about physical systems
  • Reasoning about actions and change, action languages
  • Reasoning about constraints, constraint programming
  • Reasoning about knowledge, beliefs, and other mental attitudes
  • Uncertainty, vagueness, many-valued and fuzzy logics 
  • Knowledge-based systems (knowledge acquisition, knowledge discovery and data mining, knowledge representation and management)
  • Knowledge media technologies


2. Smart Technology

  • Pervasive computing and ambient intelligence 
  • Hybrid intelligent systems 
  • Intelligent system architectures 
  • Intelligent machinima generation
  • Explainable recommendation and search
  • Intelligent visual computing
  • Intelligent tutoring systems 
  • Intelligent disaster warning system
  • Intelligent user interfaces
  • Visual intelligence
  • Neuromorphic computing and AI
  • Anticipatory computing
  • Bayesian networks 
  • Knowledge-base and theory refinement
  • Graph mining
  • Knowledge discovery (data mining, text mining, and web mining)
  • Data mining and knowledge management  
  • Large scale distributed knowledge management
  • Information fusion for decision making under uncertainty
  • Secure distributed learning
  • Data and knowledge representation standards
  • Domain-driven actionable knowledge discovery 
  • AI-optimized Hardware 
  • Biometrics 
  • Multimedia & cognitive informatics 
  • Pattern recognition 
  • Data clustering
  • Computational social science 
  • Computational ecology 
  • Computational behavioral science 
  • Computational medicine
  • Reasoning and evolution 
  • Evolutionary computation
  • Computational intelligence 
  • Neural computation
  • Brain-computer interfaces & computational neuroscience


3. Social Computing and Web Intelligence: Theory and Applications

  • Social media analytics
  • Social media mining
  • Web intelligence
  • Web search engines
  • Intelligent web mining and applications
  • Intelligent web personalization
  • Web intelligence applications & search 
  • Semantic web techniques and technologies 
  • Web mining and ontology construction
  • Social informatics
  • Mobile crowdsourcing
  • Crowdsourcing to understand website privacy policies
  • Learning algorithms for gleaning semantic and structured knowledge from massive social media and web data
  • Information extraction
  • Intelligent web-based systems


    4. Ambient Intelligence  

    • Smart cities
    •  Internet of Things
    •  Ambient asisted living
    •  Smart healthcare
    •  Intelligent transportation
    •  Data science
    •  Sensing and sensor networks
    •  Affective computing
    •  Agents and multi-agent systems
    •  Context-aware pervasive systems


    5. Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)

    • Self-supervised representation learning 
    • Deep learning and representation learning 
    • Human activity recognition
    • Action understanding 
    • Game theory 
    • AI at scale
    • Physics Informed Deep Learning
    • Physics Informed Machine Learning
    • Multi-agent systems
    • Multi-Agent systems and distributed AI
    • Emerging intelligent technologies and applications 
    • Intelligent computer networks and systems
    • Collective intelligence
    • Commonsense reasoning
    • Probabilistic reasoning 
    • Computer model (simulator) and model uncertainty
    • AI algorithms 
    • On-device AI
    • Artificial intelligence tools & applications 
    • Heuristic and AI planning strategies and tools 
    • Computational theories of learning
    • Artificial narrow intelligence (ANI), Artificial general intelligence (AGI), Artificial superintelligence (ASI)
    • Artificial intelligence and information agents on the Internet
    • Artificial intelligence systems integration
    • Hybrid intelligent systems
    • Artificial life (ALife or A-Life)
    • Artificial intelligence and Intelligent agents
    • State-space problem representations
    • Uninformed and heuristic search
    • Game playing and adversarial search
    • Logical agents
    • Constraint satisfaction problems
    • Machine learning
    • Supervised learning
    • Unsupervised learning
    • Semi-supervised learning
    • Machine learning algorithms and theory 
    • Learning and inference
    • Causal modeling and machine learning 
    • Causal structure learning and inference 
    • Characterization of causal information in observational data 
    • Understanding machine learning tasks in light of causality 
    • Machine learning methods exploiting causal knowledge 
    • Efficient causal discovery in large-scale data 
    • Real-world problems for causal analysis.
    • Applied machine learning
    • Learning dynamical systems
    • Learning algorithms for latent variable models 
    • Latent social characteristics learning
    • Machine learning for intelligent IoT
    • Reinforcement learning
    • Advanced learning technologies
    • Data mining and machine learning tools
    • Machine learning in signal processing
    • Ontology
    • Storytelling in games 
    • Style transfer
    • Ethical computing
    • Affective computing
    • Cognitive machines
    • Cognitive computing systems
    • Cognitive modeling
    • Medical and diagnostic systems
    • Bioinformatics using intelligent and machine learning techniques
    • Autonomous multi-robot systems
    • Automated planning and scheduling
    • Automatic control 
    • Robotic process automation
    • Robot planning and control
    • Human-robot interaction
    • Machine perception (machine vision, machine hearing, machine touch)
    • Vision intelligence and machine learning
    • Machine deception
    • Machine perception
    • Machine learning platforms 
    • Distributed algorithms in machine learning
    • Machine listening and learning
    • Machine reading
    • Optimization methods for machine learning
    • Sequential decision making
    • Interactive machine learning
    • Embedding and representation learning
    • Active learning
    • Transfer learning
    • Spectral learning
    • Statistical relational learning
    • Statistical methods for machine learning
    • Bayesian learning
    • Bayesian statistics
    • Improving learning efficiency 
    • Deep learning
    • Neural networks and deep learning
    • Deep neural networks
    • Convolutional neural network
    • Manifold learning
    • Deep visualization
    • Deep learning and computer vision
    • Deep learning platforms
    • Deep learning hardware accelerators (GPUs, FPGAs, and TPUs)
    • Deep generative models
    • Deep reinforcement learning
    • Deep Hashing
    • Deep Reranking
    • Query Expansion
    • Deep Token Pooling
    • New learning systems and styles
    • Intelligent user interfaces
    • Brain–computer interface/Mind-machine interface
    • Social computing and crowdsourcing systems
    • Defense AI technology
    • AI for social good 
    • Decision management 
    • Knowledge management and business intelligence
    • Learning algorithms for gleaning semantic and structured knowledge from massive social media and web data
    • Business intelligence systems
    • Business process management and workflow mining
    • Genetic algorithms and evolutionary computing
    • Pattern discovery (association analysis, anomaly detection, and cluster analysis) 
    • Spatiotemporal data analysis
    • Data mining and predictive modeling
    • Engineering informatics
    • Cheminformatics
    • Materials informatics
    • Approximate inference for graphical models
    • Multimedia techniques for enhanced accessibility systems
    • Modeling and organizing large-scale Internet image collections
    • Feedback motion planning for robotics
    • Financial and stock market monitoring and prediction
    • Emerging intelligent technologies


    6. Statistical Methods for Machine Learning

    • Density Estimation 
    • Nonparametric Regression 
    • Linear Regression 
    • Sparsity
    • Nonparametric Sparsity
    • Linear Classifiers
    • Nonparametric Classifiers
    • Random Forests
    • Clustering 
    • Graphical Models 
    • Directed Graphical Models 
    • Causal Inference 
    • Minimax Theory 
    • Nonparametric Bayesian Inference 
    • Conformal Prediction 
    • Differential Privacy 
    • Optimal Transport and Wasserstein Distance 
    • Two Sample Testing 
    • Dimension Reduction 
    • Boosting 
    • Support Vector Machines 

     

    7. Natural Language Processing

    • Computational linguistics and speech processing
    • Speech recognition systems
    • Text-to-speech synthesizers
    • Automated voice response systems
    • Automatic speech recognition
    • Language instruction materials
    • Biomedical natural language processing
    • Machine translation/multilingual processing
    • Information extraction and natural language processing
    • Natural language generation and understanding
    • Automatic text summarization
    • Natural language processing and computational linguistics
    • Natural language processing: algorithms and tools to extract computable information from Electronic Health Records (EHRs) and from the biomedical literature
    • Natural language learning
    • Natural language understanding (NLU) AI models
    • Language generation and conversational AI
    • Language grounding with vision
    • Statistical relational learning
    • Transfer learning
    • Active learning
    • Auditory, speech and language processing
    • Text analytics and natural language processing (NLP)
    • Natural language processing and its connections with data mining, social science and vision
    • Spoken language understanding
    • Physical commonsense
    • Unsupervised speech processing
    • Automatic text summarization 
    • Speech processing and synthesis
    • Voice synthesis 
    • Text-to-Speech (TTS)
    • Speech recognition
    • Machine learning, natural language processing, and social media
    • Conversational search, recommendation, and QA systems 
    • Online handwriting and gesture recognition technology
     

    8. Computer Vision

    • Optical character recognition (OCR)
    • Computer vision and speech understanding 
    • Computer vision applications (autonomous navigation, visual surveillance, or content-based image and video indexing)
    • Fusing 3D scene reconstruction
    • 3D perception
    • Vision, language, and cognition 
    • Probabilistic graphical models
    • Computational photography
    • Medical vision
    • Computer vision and machine learning
    • Video understanding
    • Visual recognition and visual search
    • Large-scale image/video retrieval
    • Unsupervised visual discovery
    • Image and video segmentation
    • Vision and language
    • Video summarization.
    • Learning-based visual reconstruction 
    • Understanding video contents 
    • Visual sensing for ecology and conservation
    • Smart graphics
    • Graphics, human computer interaction, & user experience


    9. Machine Vision 

    •  Human Computer Interaction
    •  Pattern Recognition
    •  Image/Video Processing
    •  Intrusion Detection
    •  Brain-Machine Interface
    •  Geographic Information Systems
    •  Signal Processing
    •  Medical Diagnosis
    •  Segmentation Techniques
    •  Augmented/Virtual Reality
     

    10. Robotics and Robot Learning

    • Robot learning
    • Robotics and computational perception
    • Mobile robots
    • Robot navigation
    • Distributed robotics  
    • Wearable robotic systems
    • Networked robotic systems
    • Swarm robotics
    • Swarm intelligence
    • Microrobotics 
    • Soft robotics


    11. Program Synthesis



     [More to come ...] 

     


     

     

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