Full Articles/ Reviews/ Shorts Papers/ Abstracts are welcomed in the following research fields:
Artificial Intelligence foundations, machine learning, deep learning, reinforcement learning, generative AI, explainable AI, trustworthy AI, federated learning, edge AI, neuromorphic computing, autonomous decision-making, intelligent agents, knowledge representation, expert systems, natural language processing, computer vision, pattern recognition, multimodal AI, AI optimization, predictive analytics, digital twins, intelligent control systems, cyber-physical intelligence, AI-assisted engineering design, AI for scientific discovery, and human–AI collaboration.
Power systems, smart grids, renewable energy integration, distributed energy resources, microgrids, electrical machines, power electronics, converters and inverters, energy storage systems, battery management, electric vehicles, charging infrastructure, wireless power transfer, high-voltage engineering, electrical protection, fault diagnosis, condition monitoring, energy harvesting, power quality, grid stability, demand response, energy forecasting, intelligent energy management, electrical drives, industrial electrification, sustainable electrical systems, and AI-based power system operation and maintenance.
Analog and digital electronics, mixed-signal systems, embedded systems, microcontrollers, FPGA systems, system-on-chip design, VLSI, intelligent sensors, sensor interfaces, signal conditioning, low-power electronics, wearable electronics, flexible electronics, printed electronics, smart instrumentation, hardware acceleration for AI, edge computing devices, embedded AI, real-time control systems, IoT hardware, industrial electronics, electronic system reliability, fault-tolerant circuits, adaptive electronics, electronic measurement systems, and AI-enabled electronic design automation.
Biosystems modelling, biological system analysis, computational biology, bioinformatics, systems biology, synthetic biology, agricultural biosystems, environmental biosystems, ecological modelling, biological process engineering, bioprocess monitoring, intelligent bioreactors, biosensors, bioinstrumentation, bioelectrical systems, biological signal acquisition, biomedical systems, precision agriculture, smart farming, crop monitoring, livestock monitoring, food engineering, water and wastewater biosystems, sustainable biological production, biological resource management, AI-assisted biosystem optimization, and digital twins for biological processes.
Biomedical signal processing, medical imaging, AI-assisted diagnosis, clinical decision support, patient monitoring, wearable health systems, remote healthcare, biomedical instrumentation, ECG and EEG analysis, physiological modelling, medical sensors, implantable electronics, neural engineering, brain–computer interfaces, rehabilitation engineering, prosthetics, assistive technologies, robotic surgery, medical robotics, personalized medicine, predictive healthcare, digital biomarkers, biosignal classification, intelligent medical devices, healthcare IoT, hospital automation, and AI-based disease prediction and treatment planning.
Electrochemical biosensors, optical biosensors, wearable biosensors, implantable biosensors, lab-on-chip systems, microfluidics, point-of-care diagnostics, molecular sensing, biochemical detection, electronic noses and tongues, smart diagnostic platforms, biosensor signal processing, AI-enhanced biosensing, sensor calibration, sensor fusion, low-power biosensor networks, flexible bioelectronics, epidermal electronics, neural interfaces, bioelectronic medicine, intelligent biomarker detection, continuous glucose monitoring, environmental biosensing, agricultural biosensors, food-quality sensing, and real-time biological monitoring.
Digital signal processing, biomedical signal processing, image processing, audio processing, time-frequency analysis, spectral analysis, adaptive filtering, wavelets, feature extraction, sensor fusion, statistical signal processing, compressed sensing, anomaly detection, pattern recognition, intelligent sensing, multimodal sensing, physiological data analysis, electrical signal analytics, vibration monitoring, acoustic diagnostics, radar signal processing, wireless sensing, AI-based signal classification, predictive maintenance, fault detection, and data-driven system modelling.
Industrial robotics, medical robotics, agricultural robotics, service robots, autonomous vehicles, unmanned aerial systems, robotic manipulators, soft robotics, bio-inspired robotics, swarm robotics, rehabilitation robots, surgical robots, autonomous monitoring systems, robotic sensing, machine vision, intelligent motion control, path planning, robot perception, human–robot interaction, adaptive control, reinforcement learning for robotics, AI-based navigation, autonomous farming systems, biosystem automation, intelligent laboratory automation, and self-optimizing robotic systems.
Classical control, modern control, adaptive control, robust control, optimal control, predictive control, nonlinear control, fuzzy control, neural control, intelligent control, distributed control, process automation, industrial automation, biomedical control systems, physiological control systems, autonomous system control, smart building control, energy system control, bioprocess control, robotic control, fault-tolerant control, digital twins for control, AI-assisted controller design, cyber-physical control, and self-learning control systems.
Internet of Things, Industrial IoT, Internet of Medical Things, agricultural IoT, environmental IoT, smart healthcare, smart homes, smart buildings, smart cities, connected laboratories, wireless sensor networks, body area networks, remote biosensing, edge computing, fog computing, cloud-based monitoring, AIoT, intelligent gateways, real-time monitoring, distributed sensing, interoperability, low-power communication, secure IoT systems, digital health platforms, intelligent farm networks, and connected energy systems.
Wireless communication systems, 5G and 6G technologies, wireless sensor networks, body area networks, biomedical telemetry, satellite communications, optical communications, RF systems, antenna design, ultra-wideband systems, low-power wireless technologies, Bluetooth-based medical devices, RFID biosystems, near-field communication, wireless implant communication, underwater sensor communication, vehicle-to-everything communication, machine-to-machine communication, intelligent communication networks, AI-based network optimization, cognitive radio, spectrum sensing, and communication technologies for smart healthcare and agriculture.
Solar energy, wind energy, biomass energy, bioenergy, biogas systems, hydrogen technologies, fuel cells, energy harvesting, waste-to-energy, microbial fuel cells, sustainable power systems, green electronics, energy-efficient AI, smart agriculture energy systems, energy-efficient healthcare devices, renewable-powered biosensors, sustainable irrigation systems, circular economy technologies, carbon monitoring, environmental sustainability, life-cycle assessment, smart resource management, AI for energy optimization, and integrated renewable-energy biosystems.
Air-quality monitoring, water-quality monitoring, soil monitoring, pollution detection, environmental sensors, intelligent waste management, wastewater treatment monitoring, smart irrigation, groundwater monitoring, climate monitoring, ecosystem monitoring, biodiversity assessment, precision environmental management, remote sensing, satellite-based environmental analysis, AI-based pollution prediction, environmental digital twins, smart water networks, renewable resource optimization, biological treatment systems, biosorption, bio-remediation, and AI-supported environmental decision-making.
Precision farming, crop monitoring, soil sensing, smart irrigation, plant disease detection, livestock monitoring, agricultural drones, agricultural robotics, yield prediction, greenhouse automation, climate-controlled agriculture, hydroponics, aquaponics, vertical farming, food-quality monitoring, food safety sensors, cold-chain monitoring, intelligent storage systems, agricultural energy management, AI-based crop classification, computer vision for agriculture, IoT-based farming, agricultural decision-support systems, and autonomous farm machinery.
Neural signal processing, EEG analysis, neural decoding, brain–computer interfaces, neural prostheses, neuromorphic engineering, artificial neural systems, bio-inspired computing, spiking neural networks, computational neuroscience, cognitive modelling, neural stimulation, closed-loop neural systems, neurorehabilitation, neural implants, intelligent prosthetics, adaptive assistive systems, human-machine interfaces, emotion recognition, cognitive AI, biologically inspired sensors, swarm intelligence, evolutionary computation, and neural control systems.
AI cybersecurity, IoT security, medical device security, smart-grid cybersecurity, industrial control system security, biosystem data protection, privacy-preserving AI, federated learning, secure sensor networks, intrusion detection, anomaly detection, adversarial machine learning, secure embedded systems, cyber-physical system protection, authentication for wearable devices, healthcare data privacy, resilient electrical systems, secure autonomous systems, fault detection, system reliability, functional safety, ethical AI, explainable AI, and responsible intelligent-system deployment.
Digital twins for power grids, electrical machines, batteries, renewable systems, biomedical devices, biological processes, hospitals, farms, industrial plants and environmental systems; physics-based modelling, data-driven modelling, hybrid modelling, real-time simulation, hardware-in-the-loop testing, virtual sensing, predictive maintenance, remaining useful life estimation, failure prediction, condition monitoring, system optimization, AI-assisted simulation, virtual commissioning, process forecasting, and intelligent lifecycle management.
Human–AI interaction, assistive technologies, smart homes, elderly monitoring, rehabilitation systems, accessibility technologies, wearable assistance, intelligent prosthetics, emotion-aware systems, personalized healthcare, adaptive user interfaces, smart mobility, intelligent transportation, driver monitoring, collaborative robots, human-in-the-loop control, safety monitoring, AI-based decision support, ergonomic sensing, physiological monitoring, personalized automation, and intelligent environments.
AI-driven bioelectronics, autonomous biosystems, self-powered biosensors, neuromorphic biomedical devices, AI-enabled smart grids, intelligent electric vehicles, smart prosthetic systems, AI-based biological process control, hybrid biological-electronic systems, bio-inspired energy systems, intelligent environmental sensing, autonomous laboratories, robotic biotechnology, digital twins of organs and biological processes, AI-controlled microgrids for hospitals and farms, edge AI for medical devices, intelligent wearable health platforms, sustainable AI hardware, smart rehabilitation ecosystems, and integrated electrical–biological cyber-physical systems.