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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 and epistemology
  • Ontology evolution and dynamics
  • 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. Embodies and Ambient Intelligence  

    • Embodied Intelligence, Sensors and Robotics
    • Computer Vision
    • Ontology
    • Pervasive computing
    • Augmented reality
    • Radio frequency identification
    • health care system
    • 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)

    -- Artificial Intelligence (AI)

    • Responsible and explainable AI
    • AI environments
    • Self-supervised 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
    • Generative AI and Large Language Models (LLMs) 
    • 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
    • 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

    -- Quantum AI

    • Quantum machine learning,
    • Quantum-inspired soft computing,
    • Hybrid classical-quantum neural network models,
    • Qubit- and qutrit-based quantum-inspired neural network models,
    • Quantum optimization,
    • Hybrid classical-quantum algorithms
    • Variational quantum algorithms
    • Quantum metaheuristics

    -- Machine Learning (ML)

    • 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
    • Markov decision process
    • 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 (DL)

    • Deep learning and representation 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 

    -- The Main ML Disciplines

    • Regression
    • Classification
    • Clustering
    • Dimensionality Reduction
    • Ensemble Methods
    • Neural Nets and Deep Learning
    • Transfer Learning
    • Reinforcement Learning
    • Natural Language Processing
    • Word Embeddings


    6. Algorithms for ML/DL

    -- Commonly Used ML/DL Algorithms

    • Linear Regression
    • Logistic Regression
    • Decision tree
    • Linear Discriminant Analysis
    • Classification and Regression Trees
    • Naive Bayes
    • K-Nearest Neighbors (KNN)
    • Learning Vector Quantization (LVQ)
    • Support Vector Machines (SVM)
    • Random Forest
    • Boosting
    • AdaBoost
    • SVM
    • K-means Clustering
    • Apriori Learning Algorithm
    • PCA (Principal Component Analysis)
    • Dimensionality reduction 
    • Gradient boosting algorithm and AdaBoosting
    • Stable Diffusion algorithm (text-to-image)

    -- 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. Artificial Neural Networks

    • Convolutional neural networks (CNNs)
    • Recurrent neural networks (RNNs)
    • Deep learning algorithms
    • Multi-layer feedforward neural networks
    • Adaptive Learning
    • Patter extraction and detection
    • Semantic meaning extraction from imprecise data 
    • Feedforward Neural Networks
    • Radial Basis Function Networks
    • Time delay neural network
    • Regulatory feedback network
    • Probabilistic neural network
    • Genetic Scale RNN
    • Holographic Associative Memory
    • Spiking Neural Networks
    • Cascading Neural Networks
    • Dynamic Neural Networks
    • Neuro-Fuzzy Networks
    • One Shot Associative Memory
    • Instantaneously Trained Networks
    • Hierarchical Temporal Memory
    • Oscillating Neural Network
    • Growing Neural Gas
    • Counter Propagation Neural Network
    • Hybridization Neural Network

     

    8. 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
    • Sentiment analysis (or opinion mining)
    • Sentiment analysis tools
    • Track brand sentiment
    • 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 
     

    9. Computer Vision

    • Optical character recognition (OCR)
    • Computer vision and speech understanding 
    • Vision and Language in Computer Vision
    • Vision sensor technology
    • 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 
    • People counting tool
    • Colors detection
    • Object tracking in a video
    • Pedestrian detection
    • Hand gesture recognition
    • Human emotion recognition
    • Road lane detection
    • Business card scanner
    • License plate recognition
    • Handwritten digit recognition
    • Iris Flowers Classification 
    • Family photo face detection
    • LEGO Brick Finder
    • PPE Detection
    • Face mask detection
    • Vision-language models (VLMs)


    10. Machine Vision, Robotics and Robot Learning

    -- 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
     -- 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. AI-driven Trustworthy, Secure, and Privacy-Preserving Computing (AidTSP)  

    • AI-driven TSP (Traveling Salesman Problem) computing
    • AI-driven TSP computing in IoT/CPS/Edge/Fog/Cloud paradigms
    • AI-driven TSP computing smart data and Big data paradigm
    • AI-driven TSP computing with blockchain
    • AI-driven TSP computing in activity recognition, HCI
    • AI-driven TSP with wearable devices, embedded HW and SW, and applications
    • AI-driven TSP with agent-based computing
    • AI-driven TSP with nature- and brain-inspired computing
    • AI-driven TSP computing against AI-driven malware and fault injections
    • AI-driven TSP computing against AI-driven supply chain & hardware attacks
    • AI-driven TSP computing in big data capture, classification, and analytics
    • AI-driven TSP computing with nano & micro-systems and quantum computing
    • AI-driven TSP computing in OS, virtualization, database, and software systems
    • AI-driven TSP measures, metrics, verification, and validation
    • AI-driven sensing, detection, prevention, and recovery against potential threats
    • AI-driven applied cryptography and security protocols
    • AI-driven defense against AI-driven threats/attacks
    • AI-driven data trust, system trust, service trust, application trust, etc.
    • TSP with learning methods (ML/DL/DRL/FL)
    • TSP, anonymity, and resilience analysis on AI
    • TSP with AI-driven data mining and knowledge discovery
    • TSP concerns with AI-driven technologies, such as GAN
    • TSP with reactive distributed AI, AI tools, and applications
    • Trustworthy ML, DL, DRL, and FL methods and tools
    • Trustworthy AutoML, AutoDL, and automatic control
    • Trustworthiness with AI-driven authentication, access control, & monitoring
    • Theoretical studies on big data system trustworthiness, privacy, and security
    • Fairness, explainability, accountability, reliability, and safety with AI

     

    12. The Popular DL Applications

    • Virtual Assistants 
    • Chatbots 
    • Healthcare 
    • Entertainment 
    • News Aggregation and Fake News Detection 
    • Composing Music 
    • Image Coloring 
    • Robotics 
    • Image Captioning 
    • Advertising 
    • Self Driving Cars 
    • Natural Language Processing 
    • Visual Recognition 
    • Fraud Detection 
    • Personalisations 
    • Detecting Developmental Delay in Children 
    • Colourisation of Black and White images 
    • Adding Sounds to Silent Movies 
    • Automatic Machine Translation 
    • Automatic Handwriting Generation 
    • Automatic Game Playing 
    • Language Translations 
    • Pixel Restoration 
    • Demographic and Election Predictions 
    • Deep Dreaming



     [More to come ...] 

     


     

     

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