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Call for papers/Topics

Full Articles/ Reviews/ Shorts Papers/ Abstracts are welcomed in the following research fields:

Foundational & Independent Topics

These categories represent the core, standalone principles unique to each individual engineering discipline.

1. Electrical Engineering

The study and application of electricity, electromagnetism, and electrical power generation and distribution.

Power Systems and Smart Grids: High-voltage transmission, power generation (thermal, hydro, nuclear), grid stability, and renewable energy integration (solar, wind).
Electrical Machines and Drives: Operation and design of transformers, induction motors, synchronous machines, and permanent magnet drives.
Electromagnetics and Wave Propagation: Maxwell’s equations, transmission lines, waveguides, antennas, and electromagnetic compatibility (EMC).
Control Systems Theory: Linear feedback control, state-space analysis, stability criteria (Nyquist, Bode), and PID controller optimization.

2. Electronics Engineering

The design and testing of electronic circuits, semiconductor devices, and embedded systems that process information.

Analog Electronics: Operational amplifiers (op-amps), transistor biasing (BJT, MOSFET), oscillators, and analog filter design.
Digital Electronics and VLSI: Logic gates, FPGA design, hardware description languages (Verilog/VHDL), and microfabrication of integrated circuits.
Embedded Systems and Microcontrollers: Firmware development, real-time operating systems (RTOS), architecture of ARM microcontrollers, and serial communication protocols (I2C, SPI, UART).
Telecommunications and Signal Processing: Modulation techniques (AM, FM, QAM), digital signal processing (DSP) algorithms, wireless networks (5G/6G), and fiber optics.

3. Biomedical Engineering

The application of engineering principles to medicine and biology for healthcare purposes.

Biomaterials and Tissue Engineering: Biocompatibility testing, synthetic and natural scaffolds, stem cell differentiation, and artificial organ development.
Biomechanics and Mechanobiology: Musculoskeletal mechanics, fluid dynamics of blood flow (hemodynamics), orthopedic implant design, and rehabilitation engineering.
Biomedical Transport Phenomena: Heat and mass transfer in biological systems, artificial kidney dialysis, and targeted drug delivery kinetics.
Clinical Engineering and Healthcare Technology: Hospital equipment management, medical device safety regulations (FDA compliance), and telemedicine infrastructure.

Interrelated & Integrated Topics

These fields represent the critical areas where these three disciplines converge to create advanced medical devices, diagnostics, and physiological monitoring systems.

1. Bioinstrumentation and Biosensors

The direct intersection of analog electronics, signal processing, and biological systems to measure physiological variables.

Physiological Amplifiers and Isolation: Design of low-noise instrumentation amplifiers (e.g., for ECG, EEG, EMG) with strict electrical isolation for patient safety.
Biosensor Transduction Mechanisms: Electrochemical, optical, piezoelectric, and thermal sensors that convert biological responses into electrical signals.
Wearable Health Monitors: Continuous glucose monitors, smartwatches with photoplethysmography (PPG) for heart rate tracking, and flexible electronic patches.
Artifact and Noise Reduction: Analog and digital filtering techniques designed to remove powerline interference (50/60 Hz) and motion artifacts from bio-signals.

2. Medical Imaging Systems

A complex convergence of electromagnetics, electronics, and computational signal processing to visualize the interior of the human body.

Magnetic Resonance Imaging (MRI): Superconducting magnets, RF pulse generation, gradient coils, and Fourier-based image reconstruction.
X-Ray and Computed Tomography (CT): High-voltage X-ray tube electronics, radiation detectors, and 3D tomographic reconstruction algorithms.
Ultrasound Imaging: Piezoelectric transducer arrays, beamforming electronics, Doppler shift processing for blood flow visualization, and real-time 4D ultrasound.
Biomedical Image Processing: Machine learning algorithms for automated tumor detection, image segmentation, and multi-modal image registration.

3. Neural Engineering and Neuroprosthetics

The interface between electronics engineering and the nervous system to restore lost sensory or motor functions.

Brain-Computer Interfaces (BCIs): Invasive and non-invasive neural recording, signal decoding algorithms, and closed-loop neurostimulation.
Cochlear and Retinal Implants: Micro-electrode arrays, wireless power and data transfer through the skin, and sensory signal modulation.
Deep Brain Stimulation (DBS): Implantable pulse generators (IPGs), lead design, and electrical stimulation parameters for treating Parkinson's disease and epilepsy.
Functional Electrical Stimulation (FES): Pacing systems and external neural stimulation to restore movement in paralyzed limbs.

4. Power Management and Biocompatible Energy for Medical Devices

The intersection of electrical power systems and electronic circuit design optimized for long-term implantation inside biological systems.

Wireless Power Transfer (WPT): Inductive coupling and resonant energy transfer techniques used to recharge transcutaneous implants.
Ultra-Low-Power Circuit Design: Sub-threshold circuit operation and energy-efficient microcontrollers designed to maximize pacemaker battery life (spanning 10 to 15 years).
Bio-Fuel Cells and Energy Harvesting: Thermoelectric generators using body heat, kinetic energy harvesters using heartbeats, and glucose-powered enzymatic fuel cells