IEREK

Track 1.1: Fundamental, Computational & Materials Sciences

Computational Chemistry: Machine-Learned Interatomic Potentials & Reaction Prediction.
High-Energy & Particle Physics: Collision Data Processing & Dark Matter Modeling.
Materials Discovery: Batteries, Catalysts, Polymers & Self-Driving Laboratories.
Hybrid Quantum-Classical Algorithms & Neuromorphic Hardware.

Track 1.2: Earth Observation, Geospatial Intelligence (GeoAI) & Extreme Climates

Track 1.3: Synthetic Biology, Bio-computation & Molecular Dynamics

Protein Structure Prediction, Generative Protein Design & Enzyme Engineering.
Genomic Language Models, Metagenomics & Epigenetic Mapping.
Virtual Cell Models: Single-Cell Analysis & Metabolic Pathway Engineering.
AI for Biodiversity Monitoring: Bioacoustics, eDNA & Species Distribution Modeling.

Track 1.5: Deep Space Exploration, Astronomy & Space Science

Autonomous Navigation, Trajectory Optimization & Rover Robotics.
Astronomical Foundation Models & Survey Data: Exoplanet Detection, Radio Astronomy & Cosmic Web Mapping.
AI-Driven Telescopes, Optical Signal De-noising & Transient Event Detection.
Space Habitat Life-Support Systems & Extraterrestrial Construction Robotics.

Track 2.1: Precision Medicine, Clinical Genomics & Bio-Therapeutics

Genomic Profiling, Target-Specific Therapeutics & Oncology Screening.
Generative Drug Design, Binding Affinity Prediction & AI-Optimized Clinical Trials.
Rare Disease Diagnostic Phenotyping & CRISPR Guide Design & Off-Target Prediction.
Personalized Immunology, AI-Driven Vaccine & Antibody Design, and Pharmacogenomics.

Track 2.2: Intelligent Diagnostics, Medical Imaging & Surgical Robotics

Medical Foundation Models & Multimodal Imaging (MRI, CT, Histopathology, PET).
Computer-Vision Assisted Robotic Surgery, Micro-Invasive Tools & Spatial Telepresence.
Real-Time Pathological Tissue Segmentation & Intraoperative Navigation.
Predictive Analytics for Critical Care Units & Patient Deterioration Forecasting.
Clinical Large Language Models: Documentation, Decision Support & Patient Safety.

Track 2.3: Neurotechnology, Mental Health & Salutogenic Living

Brain-Computer Interfaces (BCIs), Neuro-Prosthetics & Cognitive Restoration.
Digital Phenotyping for Behavioral, Mood & Neurodegenerative Disorder Detection.
AI Mental-Health Support: Chatbot Safety, Digital CBT & Affective Computing.
Ambient Assisted Living (AAL) for Elderly Autonomy, Sleep & Circadian Rhythm Optimization.

Track 2.4: Agri-Tech, Biosystems & Planetary Food-Water Security

Hyperspectral Precision Agriculture, Autonomous Harvesting & Crop Disease Detection.
Controlled-Environment Agriculture, Smart Irrigation & Climate-Resilient Crops.
AI-Optimized Desalination, Greywater Reclamation & Aquifer Management.
Alternative Protein Synthesis, Food Waste Reduction & Global Supply Traceability.

Track 3.1: Generative Architecture, Computational Design & Structural Engineering

Generative & Parametric Structural Topology Optimization for Embodied Carbon Reduction.
Large Multimodal Models (LMMs) for Spatial Concept Synthesis & Code Compliance.
Automated Robotic 3D Concrete & Bio-Material Construction Printing.
Building Information Modeling (BIM) Integrated with Life Cycle Assessment (LCA).
AI Surrogates for Building Energy Simulation, Daylighting & Occupant Comfort.

Track 3.2: Cognitive Cities, Digital Twins & Resilient Infrastructure

Whole-City Digital Twins for Real-Time Thermal, Hydraulic & Wind Dynamics.
Urban Resilience: Flood Inundation Modeling & Urban Heat Island (UHI) Abatement.
Critical Infrastructure Asset Health: Predictive Sensor Networks for Bridges, Dams & Tunnels.
AI-Supported Planning of Nature-Based Solutions (NbS) in Dense Urban Corridors.

Track 3.3: Autonomous Mobility, Smart Grids & Clean Energy Transitions

Connected & Autonomous Vehicles (CAVs): Sensor Fusion, Path Planning & Fleet Logistics.
Unmanned Aerial Systems (UAS) for Urban Logistics & Disaster Zone Evacuation.
Embodied AI & Robotics Foundation Models for Construction, Logistics & Services.
Decentralized Energy Microgrids, Vehicle-to-Grid (V2G) & AI-Driven Peak-Shaving.
Renewable Energy Storage Dispatch, Demand Flexibility & Green Hydrogen Networks.

Track 3.4: Adaptive Education, Learning Analytics & Future Workforce

Hyper-Personalized AI Tutoring Systems & Real-Time Mastery-Based Curricula.
Generative AI & XR (AR/VR/MR) Simulation Environments for STEM Education.
Research Integrity, AI-Generated Text Detection & Responsible AI Use in Scholarly Publishing.
Labor Re-skilling Frameworks & Human-in-the-Loop Collaboration.

Track 3.5: Cultural Heritage, Digital Humanities & Generative Arts

Heritage Reconstruction: Neural Radiance Fields (NeRFs), Gaussian Splatting & 3D Photogrammetric Restoration.
Endangered Language Preservation, Arabic & Low-Resource Language Models & Ancient Script Decipherment.
Identity-Preserving Regionalism: Integrating Vernacular Architecture with AI Synthesis.
Generative Media & Creative Co-Creation: Authorship, Copyright & Deepfake Detection.

Track 3.6: Global Governance, Legal Frameworks, Ethics & Digital Economy

Autonomous Decision Systems: Algorithmic Bias, Transparency & Explainable AI (XAI).
AI Regulation & Sovereign AI: EU AI Act Implementation, Liability & Transnational Governance.
AI Safety & Alignment: Red-Teaming, Human Oversight & Accountability of Autonomous Systems.
AI & the Economy: Labor-Market Impacts, Productivity & Green Finance (ESG).
AI & Cyber Security: Prompt Injection, Agent Hijacking & Post-Quantum Cryptography.

Foundation & Multimodal Models: Evaluation, Reliability & Domain Adaptation.
Agentic AI & “AI Scientists”: Autonomous Experiment Planning, Coding & Data Analysis.
Physics-Informed & Hybrid AI: Integrating Scientific Knowledge with Machine Learning.
Sustainable AI: Energy, Water & Carbon Footprint of AI Systems and Data Centers.

Conference Topics