AIQELITH 2028

AIQELITH 2028 · Conference scope

Proposed Research Tracks

Explore eight proposed tracks for AIQELITH 2028. The topics under each track illustrate the planned scope and can help you identify where your research fits.

Research tracks
08
Example topics
48

Track 01

Foundations of Artificial Intelligence and Intelligent Systems

Formal and computational models of how intelligent systems represent knowledge, draw conclusions, and make decisions.

Example topics

  • Logic, ontologies, and knowledge representation
  • Probabilistic inference and reasoning under uncertainty
  • Causal discovery, intervention, and counterfactual reasoning
  • Planning, search, and sequential decision-making
  • Symbolic and neural approaches to reasoning
  • Interpretability and formal verification of intelligent systems

Track 02

Machine Learning, Deep Learning and Generative AI

Methods for learning from data, adapting models to new settings, and evaluating generated outputs.

Example topics

  • Supervised, self-supervised, and semi-supervised learning
  • Transfer learning, domain adaptation, and continual learning
  • Reinforcement learning and offline policy evaluation
  • Transformers, graph neural networks, and representation learning
  • Autoregressive, diffusion, and variational generative models
  • Foundation model fine-tuning, distillation, and evaluation

Track 03

Data Science, Knowledge Discovery and Intelligent Analytics

Methods for extracting, validating, and communicating findings from complex datasets.

Example topics

  • Clustering, association mining, and anomaly detection
  • Time-series forecasting, event detection, and streaming analytics
  • Graph mining, link prediction, and network analysis
  • Recommendation, ranking, and personalization
  • Data integration, missing-data methods, and dataset quality assessment
  • Visual analytics, uncertainty communication, and reproducible workflows

Track 04

Computer Vision, Natural Language Processing and Multimodal Intelligence

Computational methods for interpreting and connecting visual, linguistic, audio, and other sensory information.

Example topics

  • Image recognition, object detection, and scene segmentation
  • Video understanding, activity recognition, and 3D scene reconstruction
  • Speech recognition, speech synthesis, and spoken dialogue
  • Information extraction, machine translation, and low-resource languages
  • Question answering, document retrieval, and retrieval-augmented generation
  • Vision-language grounding, cross-modal retrieval, and sensor fusion

Track 05

Computational Intelligence, Optimization and Advanced Algorithms

Algorithms for solving problems with large search spaces, competing objectives, or uncertain inputs.

Example topics

  • Evolutionary computation and population-based search
  • Swarm intelligence and bio-inspired algorithms
  • Fuzzy systems and approximate reasoning
  • Constraint programming and combinatorial optimization
  • Multi-objective, robust, and stochastic optimization
  • Approximation algorithms, convergence guarantees, and solver benchmarking

Track 06

Intelligent Robotics, Autonomous Systems and Cyber-Physical Intelligence

Research on systems that sense their surroundings, make decisions, and act in physical environments.

Example topics

  • Robot localization, mapping, and navigation
  • Motion planning, manipulation, and feedback control
  • Multi-robot coordination and distributed autonomy
  • Human–robot collaboration and shared control
  • Simulation-to-real transfer and testing of autonomous systems
  • Real-time monitoring, fault detection, and safe operation of cyber-physical systems

Track 07

Emerging Computing Architectures and Secure Intelligent Technologies

Computing platforms and security techniques for deploying AI under resource, privacy, and reliability constraints.

Example topics

  • On-device inference and coordination between edge and cloud systems
  • AI accelerators, neuromorphic hardware, and energy-aware computing
  • Distributed training, parallel inference, and model serving
  • Federated learning, differential privacy, and secure aggregation
  • Defenses against adversarial inputs, data poisoning, and model extraction
  • Secure model deployment, provenance, and auditability

Track 08

Applied Artificial Intelligence and Interdisciplinary Computational Innovation

Studies that develop or rigorously evaluate AI methods for problems in science, industry, and society.

Example topics

  • Biomedical imaging, clinical decision support, and health informatics
  • Scientific discovery in genomics, materials, and drug design
  • Climate modeling, precision agriculture, and environmental monitoring
  • Predictive maintenance, industrial quality inspection, and supply-chain analytics
  • Energy forecasting, grid operations, and intelligent transportation
  • Adaptive learning, accessible interfaces, and human-centered evaluation