ISTANBUL 6th International Congress on Electrical, Electronics and Computational Intelligence: REECI-27

Call for papers/Topics

Topics of Interest for Submission include, but are Not Limited to:

1. Core Electrical Engineering (Power, Energy, & Systems)

This domain focuses on the generation, transmission, distribution, and utilization of electrical power.

• Power Systems & Grid Infrastructure

  • Power Generation (Thermal, Hydro, Nuclear)

  • High Voltage Direct Current (HVDC) & Flexible AC Transmission Systems (FACTS)

  • Smart Grids and Microgrids

  • Renewable Energy Integration (Solar, Wind, Tidal)

• Electrical Machines & Drives

  • Transformers (Single-phase, Three-phase)

  • Synchronous and Induction Machines

  • DC Motors and Special Electrical Machines (Stepper, BLDC)

  • Motor Control and Variable Frequency Drives (VFD)

• Power Electronics (The Bridge to Electronics)

  • Converters, Inverters, and Cycloconverters

  • Switch-Mode Power Supplies (SMPS)

  • Solid-State Device Applications

2. Electronics & Communication Engineering (Devices, Circuits, & Signals)

This domain deals with processing information and manipulating electrical currents using solid-state components.

• Solid-State Devices & Semiconductor Physics

  • Diodes, Transistors (BJT, MOSFET, FinFET)

  • Optoelectronics (LEDs, Photodiodes, Solar Cells)

  • Wide-Bandgap Semiconductors (GaN, SiC)

• Circuit Design

  • Analog Circuit Design (Amplifiers, Oscillators, Filters)

  • Digital Circuit Design (Logic Gates, Combinational/Sequential Circuits)

  • Very Large Scale Integration (VLSI) and ASIC Design

• Signal Processing & Communications

  • Analog and Digital Signal Processing (DSP)

  • Wireless Communications (5G/6G, RF Engineering, Satellite)

  • Information Theory and Error-Correcting Codes

3. Computational Intelligence (AI, Algorithmic Systems, & Logic)

This domain focuses on biologically-inspired computing paradigms to solve complex, non-linear problems that traditional programming cannot handle.

• Artificial Neural Networks (ANN) & Deep Learning

  • Perceptrons and Feedforward Networks

  • Convolutional Neural Networks (CNNs) for vision

  • Recurrent Neural Networks (RNNs) and Transformers for sequential data

• Evolutionary & Swarm Computing

  • Genetic Algorithms (GA)

  • Particle Swarm Optimization (PSO)

  • Ant Colony Optimization (ACO)

• Fuzzy Logic Systems

  • Fuzzy Sets and Membership Functions

  • Fuzzy Inference Systems (Mamdani and Sugeno models)

  • Fuzzy Control Systems

• Probabilistic Reasoning & Expert Systems

  • Bayesian Networks

  • Knowledge Representation and Decision-Support Systems

4. Interrelated Domains (The Convergence)

The true power of these fields lies where they intersect, creating modern intelligent infrastructure.

• Hardware Acceleration for AI (Electronics + Computational Intelligence)

  • Neuromorphic Computing (brain-inspired hardware architectures)

  • Edge AI and TinyML (running machine learning models on microcontrollers)

  • TPU (Tensor Processing Units) and FPGA-based AI accelerators

• Smart Energy & Intelligent Grids (Electrical + Computational Intelligence)

  • AI-driven Load Forecasting and Demand-Side Management

  • Fault Detection, Isolation, and Restoration (FDIR) using Machine Learning

  • Predictive Maintenance of Transformers and Generators

• Robotics, Automation, & Control Systems (Electrical + Electronics + Computational Intelligence)

  • Embedded Systems and Microcontrollers (e.g., ARM, RISC-V)

  • Cyber-Physical Systems (CPS) and Internet of Things (IoT)

  • Intelligent Control Systems (combining classical PID control with Fuzzy Logic/Neural Networks)

  • Autonomous Vehicles and Drone Navigation (Computer Vision + Sensors + Motor Actuators)