LISBON 6th International Conference on Electrical, Electronics & Communication Engineerin: LEECE-27

Call for papers/Topics

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

1. Core Foundational Disciplines

These topics form the mathematical and physical bedrock for all electrical and electronics engineering branches.

  • Mathematics for Engineering

    • Linear Algebra and Matrix Theory

    • Calculus and Differential Equations

    • Complex Analysis

    • Probability, Random Variables, and Stochastic Processes

    • Numerical Methods and Optimization

  • Engineering Physics

    • Electromagnetism and Maxwell's Equations

    • Quantum Mechanics and Solid-State Physics

    • Optics and Wave Mechanics

  • Circuit Theory and Network Analysis

    • DC and AC Circuit Analysis (KVL, KCL)

    • Network Theorems (Thevenin, Norton, Superposition, Maximum Power Transfer)

    • Transient and Steady-State Analysis

    • Two-Port Networks and Graph Theory

2. Electrical Engineering (Power and Energy Systems)

This domain deals with the generation, transmission, distribution, and utilization of electrical power.

  • Electrical Machines

    • Transformers (Single-phase and Three-phase)

    • DC Generators and Motors

    • Synchronous Generators and Motors (Alternators)

    • Induction Motors (Three-phase and Single-phase)

    • Special Electrical Machines (Stepper motors, BLDC motors, Servo motors)

  • Power Systems Engineering

    • Power Generation (Thermal, Hydro, Nuclear)

    • Transmission and Distribution Systems (HVDC, HVAC, Overhead lines, Cables)

    • Power System Analysis (Load flow, Fault analysis, Stability)

    • Power System Protection (Relays, Circuit breakers, Switchgear)

    • Smart Grids and Microgrids

  • Renewable Energy Systems

    • Solar Photovoltaic Systems

    • Wind Energy Conversion Systems

    • Energy Storage Systems (Batteries, Fuel cells, Supercapacitors)

    • Grid Integration of Renewables

  • Power Electronics

    • Power Semiconductor Devices (IGBTs, MOSFETs, Thyristors, Wide-Bandgap Devices like GaN/SiC)

    • AC-DC Converters (Rectifiers)

    • DC-DC Converters (Buck, Boost, Buck-Boost, Flyback)

    • DC-AC Converters (Inverters)

    • AC-AC Converters (Cycloconverters, Matrix converters)

    • Electric Vehicle (EV) Powertrains and Charging Infrastructure

3. Electronics Engineering (Devices and Circuits)

This area focuses on the behavior of electrons in semiconductors to design components, circuits, and micro-scale systems.

  • Solid-State Electronic Devices

    • Semiconductor Physics (Energy bands, Carrier transport)

    • PN Junction Diodes and Zener Diodes

    • Bipolar Junction Transistors (BJTs)

    • Field Effect Transistors (MOSFETs, FINFETs)

    • Optoelectronic Devices (LEDs, Photodiodes, Laser Diodes)

  • Analog Electronics

    • Biasing and Small-Signal Analysis of Transistors

    • Single-stage and Multi-stage Amplifiers

    • Feedback Amplifiers and Oscillators

    • Operational Amplifiers (Op-Amps) and Linear Integrated Circuits

    • Active Filters and Wave-shaping Circuits

  • Digital Electronics

    • Number Systems and Boolean Algebra

    • Logic Gates and Karnaugh Maps (K-Maps)

    • Combinational Logic Circuits (Adders, Multiplexers, Decoders)

    • Sequential Logic Circuits (Flip-Flops, Registers, Counters)

    • Finite State Machines (FSMs)

    • Semiconductor Memories (RAM, ROM, Flash)

  • VLSI Design and Microelectronics (Very Large Scale Integration)

    • CMOS Technology and Fabrication Processes

    • Digital VLSI Design (Data paths, Memory arrays)

    • Analog and Mixed-Signal VLSI Design

    • Hardware Description Languages (VHDL, Verilog, SystemVerilog)

    • Asic and FPGA Architecture

    • Testing and Verification of VLSI Circuits

4. Communication Engineering and Networks

This discipline addresses the transmission of information across various media (copper, air, fiber, space).

  • Signals and Systems

    • Continuous-Time and Discrete-Time Signals

    • Linear Time-Invariant (LTI) Systems

    • Fourier Analysis (Fourier Series, Fourier Transform, DTFT, DFT, FFT)

    • Laplace Transform and Z-Transform

  • Analog Communication Systems

    • Amplitude Modulation (AM, DSB-SC, SSB, VSB)

    • Angle Modulation (Frequency Modulation, Phase Modulation)

    • Transmitters and Receivers (Superheterodyne architecture)

    • Noise Performance in Analog Modulation

  • Digital Communication Systems

    • Pulse Code Modulation (PCM) and Delta Modulation

    • Digital Modulation Techniques (ASK, FSK, PSK, QAM, OFDM)

    • Baseband Data Transmission and Inter-Symbol Interference (ISI)

    • Error Control Coding (Block codes, Convolutional codes, Turbo codes, LDPC)

    • Information Theory and Shannon Capacity

  • Telecommunication Networks and Wireless Systems

    • Cellular Networks (4G, 5G, and emerging 6G)

    • Mobile Radio Propagation and Fading Channels

    • Multiple Access Techniques (FDMA, TDMA, CDMA, OFDMA)

    • Computer Networks and Protocols (OSI model, TCP/IP, Routing)

    • Satellite Communication and Global Positioning Systems (GPS)

  • Electromagnetics, Antennas, and Microwave Engineering

    • Transmission Lines and Smith Charts

    • Waveguides and Cavity Resonators

    • Antenna Theory and Design (Dipole, Microstrip Patch, Phased Arrays)

    • Microwave Passive and Active Components (Couplers, Circulators, Amplifiers)

    • Radar Systems and Remote Sensing

  • Optical Communication

    • Optical Fibers (Light propagation, Attenuation, Dispersion)

    • Optical Sources (Lasers, LEDs) and Detectors (PIN, APD)

    • Wavelength Division Multiplexing (WDM)

    • Optical Networks and Coherent Communication

5. Control Systems and Automation

This branch deals with the mathematical modeling and regulation of dynamic engineering systems.

  • Linear Control Systems

    • Mathematical Modeling of Physical Systems (Transfer Functions, State-space)

    • Block Diagrams and Signal Flow Graphs

    • Time-Domain Analysis (Transient response, Steady-state error)

    • Stability Criteria (Routh-Hurwitz, Nyquist Stability Criterion)

    • Root Locus Technique and Bode Plots

    • Design of Compensators and PID Controllers

  • Advanced Control Systems

    • Digital Control and Discrete-Time Systems

    • Nonlinear Control Systems

    • Optimal Control and Adaptive Control

    • State-Space Analysis and Observer Design

  • Industrial Automation and Robotics

    • Programmable Logic Controllers (PLCs) and SCADA Systems

    • Distributed Control Systems (DCS)

    • Robotic Kinematics, Dynamics, and Control

    • Sensors and Actuators in Automation

6. Signal Processing and Computing Infrastructure

The hardware and software architectures that process real-world data and manage computing execution.

  • Digital Signal Processing (DSP)

    • Digital Filter Design (IIR and FIR filters)

    • Multirate Signal Processing (Decimation, Interpolation)

    • Adaptive Signal Processing

    • Image, Video, and Speech Processing

  • Computer Architecture and Embedded Systems

    • Microprocessor and Microcontroller Architectures (8051, ARM, RISC-V, x86)

    • Assembly and Embedded C Programming

    • Real-Time Operating Systems (RTOS)

    • Memory Interfacing and Input/Output (I/O) Management

    • Hardware-Software Co-design

    • Internet of Things (IoT) Edge Nodes and Architecture

7. Major Interrelated and Converging Areas

These subtopics demonstrate how the fields interconnect to power modern technological systems.

  • Cyber-Physical Systems (CPS): Merging Control Systems, Embedded Systems, and Communication Networks for applications like autonomous driving and industrial automation.

  • Edge Computing and AI Hardware: Intersecting VLSI Design, Computer Architecture, and Digital Signal Processing to run artificial intelligence algorithms directly on low-power silicon chips.

  • Bioelectronics and Biomedical Engineering: Applying Analog Electronics, Sensors, and Signal Processing to medical diagnostic tools like pacemakers, EEGs, and MRI machines.

  • Hardware Security: Merging Cryptography with VLSI/Digital Design to protect integrated circuits against physical attacks and intellectual property theft.

  • Quantum Computing Hardware: The convergence of Solid-State Physics, Microelectronics, and Microwave Engineering to build and control physical qubits.