34th Conference on Signal Processing and Communications Applications

– Information Theory and Coding
– Communication Theory and Applications
– Wireless Communications and Networks
– 5G/6G and Beyond Technologies
– Internet of Things (IoT)
– Cyber-Physical Systems
– Integrated Sensing and Communications
– Vehicular Communications
– Satellite and Deep Space Communications
– Optical Communications and Networking
– Energy Harvesting and Low Energy Communications
– Security and Privacy in Communications and Networking
– Digital Twins
– Molecular and Nano Communications
– Quantum Communications
– Age and Value of Information in Communication Networks
– Cooperative Communications and Networking
– Energy-Efficient and Green Networking
– Holographic Surfaces and MIMO
– Edge Computing, Edge Intelligence and Fog Networks
– Millimeter-Wave and Terahertz
– Network Security and Privacy
– Physical Layer Security
– Resource Allocation
– SDN/NFV
– Semantic and Goal-Oriented Communication
– UAVs and Non-Terrestrial Networks
– Wireless Power and Information Transfer
– Wireless Networks
– Backscatter and RIS-based Communications

– Image and Video Processing
– Image and Video Coding/Compression
– Object Detection and Pattern Recognition
– Image and Video based Biometrics
– Multi-Channel and Multi-Camera Processing
– Remote Sensing and Geospatial Analysis
– 3D Vision and Computational Photography
– Document Analysis and Understanding
– Vision Foundation Models, Vision-Language Models

– Signal Processing Theory
– Statistical Signal Processing
– Nonlinear Signal Processing
– Audio/Speech Processing
– Radar Signal Processing
– Signal Processing for Smart Cities and Smart Grids
– Signal Processing for Cybersecurity Applications
– Signal Processing for Autonomous Systems
– Industrial and Automotive Applications
– Real-Time Signal Processing and Embedded Systems
– E-Health Applications and Assistive Technologies
– Financial Signal Processing

– Machine Learning Theory
– Deep Learning
– Machine Learning for Healthcare
– ML/DL for Communication Systems
– ML/DL in Signal Processing
– Explainable AI and Trustworthy Machine Learning
– Adversarial Machine Learning and Robust AI
– Transfer, Semi-Supervised and Unsupervised Learning
– Multimodal Analysis
– Performance Analysis of Machine Learning Techniques
– Reinforcement Learning
– Unsupervised and Generative Models

– Biomedical Signal Analysis
– Medical Image Analysis and Applications
– Bioinformatics and Genomic Signal Processing
– Wearable Sensors and E-Health
– Biomedical Data Privacy and Security
– Biometric Signal Processing
– Applications of Artificial Intelligence for Medical Diagnosis
– Biosignal Processing for Health Monitoring
– Telemedicine and Remote Patient Monitoring
– Neuroengineering and Brain Signal Processing

– Computational Social Sciences
– Artificial Intelligence in Finance
– Artificial Intelligence–Based Autonomous, Energy-Efficient, and Resilient Communication Systems in 5G and 6G Networks
– Artificial Intelligence and Dynamic Sensing for Security and Collaboration in Smart Environments
– Optical Communication Systems and Applications
– Explainable, Interpretable & Trustworthy AI for Next-Generation Network Autonomy (EXIT-ANA 2026)
– Signal Processing and Communication Applications in Maritime Navigation
– Autonomy and Perception for Heterogeneous Unmanned Aerial, Land, and Sea Vehicles
– Machine Learning and Signal Processing on Graphs
– Non-Terrestrial Networks in Next Generation Communication Technologies: Integration, Optimization, and Applications
– Locomotion in Robotic and Biological Systems
– Multi-Input Multi-Output (MIMO) Radar Systems
– Turkish Large Language Models: Development, Adaptation, and Applications
– Advanced and Hybrid Signal Processing Approaches for Integrated Sensing and Communication (ISAC): Positioning, Detection, and Tracking

– Large Language Models and Training Strategies
– Artificial Intelligence and Large Language Model Agents
– Dialogue and Interactive Systems
– Information Extraction and Retrieval
– Linguistic Theories, Cognitive Models
– Translation and Multi-Language Processing
– Phonology, Morphology, and Word Segmentation
– Semantics in Language
– Sentiment, Style, and Argument Analysis in Texts
– Speech Processing and Recognition
– Text Summarization, Question Answering

– Marine, Air, and Land Robots
– Industrial Robots
– Humanoid and Social Robots
– Swarm Robots
– Robots in Education, Healthcare, Civil, Defense, and Agriculture
– Control Algorithms
– Positioning, Mapping, and Navigation
– Human-Robot Interaction
– Robot-Object Interaction
– Robot Architectures, Software, Simulators, and Operating Systems
– Vision and Perception in Robots