1st International Conference On Emerging Trends in Electrical, Electronics & Communication Applications (ICEECA-2025)

Call For Paper

Authors are invited to submit manuscripts that present original unpublished research in all areas of below mentioned subthemes. Work focusing on emerging technologies and interdisciplinary works are desirable. Topics of interest include, but are not limited to:

**NOTE: Not Limited to the below Topics only.

TRACK 1: COMMUNICATION, NETWORKING AND SIGNAL PROCESSING

• Wireless Communications & Networks
• 5G & 6G Technologies
• Modulation and Coding Techniques
• Ad-hoc & Sensor Networks
• Vehicular Networks
• Internet-of-Things (IoT) Networks
• Cognitive Radio Networks
• Device-to-Device (D2D) Communications
• Social Network Aware Wireless Network
• Biomedical Imaging
• RADAR/Satellite Signal Processing
• Digital Signal Processing (DSP) Techniques
• Image and Video Processing
• Audio Signal Processing
• Embedded Systems Design and Applications
• IoT Architectures and Protocols
• Wearable Electronics and Health Monitoring Systems
• Security and Privacy in Embedded Systems
• Edge Computing and Distributed IoT Systems
• Quantum Communication Systems

TRACK 2: RF, MICROWAVE, AND MMWAVE

• Antennas, DRAs, MIMO and Massive Antennas, Integrated Antennas
• Radio-wave Propagation and Computation Electromagnetics
• RFICs, MICs and MMICs
• mmWave and THz Systems
• High Frequency Materials and Structures
• Microwave Imaging and Metrology
• Antenna Design and Propagation
• Electromagnetic Compatibility (EMC)
• Microwave and Millimeter-Wave Technology
• Metamaterials and Plasmonics
• Computational Electromagnetics

TRACK 3: MICRO/NANO ELECTRONICS DEVICES AND CIRCUITS

• Device Physics and Quantum Electronics
• Compact Device Modeling
• LED, MOSFET, MESFET, Fin FET, TFET
• Beyond CMOS, III-VHEMT, Ga2O3 HEMT, SET, UWB
• Semiconductor Materials and Devices
• 2D Materials: Graphene, Spintronics, Carbon Nanotubes,
• Nanotechnology: Nanowires, Nanostructures,
• Flexible Electronics
• Analog/ Digital VLSI Circuits
• MEMS and NEMS
• System on Chip (SoC), etc.
• Quantum Computing Hardware and Algorithms
• Superconducting Circuits and Devices
• Quantum Sensors and Metrology
• Integration of Quantum and Classical Electronics

T TRACK 4: POWER SYSTEM, SMART GRID AND CONTROL SYSTEM

• Renewable and Green Energy
• Electrical Machines
• Power Converters
• Green Technologies in Electrical Engineering
• E-Waste Management and Recycling
• Energy Efficiency and Conservation
• Sustainable Practices in Electronics Manufacturing
• Advanced Control Strategies (PID, Model Predictive Control)
• Industrial Control Systems and IoT Integration
• Fault Detection and Diagnosis in Control Systems
• Power Devices, Components and Magnetic Materials
• Renewable Energy & Energy Storage
• Process Control and Instrumentation
• Recent Developments in Automation and Control
• Design and Control of Electric Motors
• Advanced Drive Systems and Applications
• Electric and Hybrid Vehicle Drives
• Fault Diagnosis and Reliability of Electrical Machines

TRACK 5: ELECTRIC AND HYBRID VEHICLES

• Advancements in Battery Technology
• Charging Infrastructure Development
• Vehicle-to-Grid (V2G) Integration
• Autonomous Driving and Electrification
• Economic and Policy Impacts
• Power train Innovations
• Vehicle Design and Aerodynamics
• Integration with Renewable Energy Sources
• Cyber security in Electric Vehicles
• Economic Feasibility and Cost Analysis
• Global Trends and Comparisons
• User Experience and Interface Design
• Impact of EVs on Automotive Supply Chains
• Charging Infrastructure and Fast Charging
• Lifecycle Analysis of Electric Vehicles
• Reducing the Carbon Footprint of EV Manufacturing
• Recycling and Disposal of EV Batteries
• The Future of Fuel Cells
• Next-Generation Electric Vehicles
• Educating Consumers on EV Benefits

TRACK 6: ROBOTICS AND AUTOMATION

• Robot Kinematics and Dynamics
• Robot Control and Navigation
• Robot Perception and Sensing
• Mobile Robots and Autonomous Systems
• Human-Robot Interaction and Collaboration
• Industrial Automation
• Service Robotics and Healthcare Robotics
• Soft Robotics and Bio-inspired Robotics
• AI Algorithms for Robot Perception and Control
• Machine Learning for Autonomous Robotics
• AI-Enhanced Robot Path Planning and Navigation
• Human-Robot Interaction and Collaboration Using AI
• Predictive Maintenance of Robotic Systems Using AI
• Robotics and Vision-based Navigation

TRACK 7: AI IN COMMUNICATIONS, NETWORKING, EMBEDDED SYSTEMS, AND SIGNAL PROCESSING

• AI-Enhanced Network Traffic Management and Optimization
• Machine Learning for Wireless Network Optimization
• AI-Based Security Measures for Communication Networks
• Predictive Maintenance for Network Infrastructure Using AI
• AI for Channel Estimation and Signal Processing in Communication Systems
• AI-Enabled Edge Computing and Processing
• Efficient AI Algorithms for Resource-Constrained Embedded Systems
• AI-Based Power Management in Embedded Systems
• Real-Time AI Applications in Embedded Systems
• Security and Privacy for AI-Driven Embedded Systems
• Deep Learning Approaches for Signal Processing
• AI-Based Image and Video Processing Techniques
• Machine Learning Models for Noise Reduction and Signal Enhancement
• AI Algorithms for Feature Extraction and Pattern Recognition

RACK 8: AI FOR POWER SYSTEMS, RENEWABLE ENERGY SYSTEMS, ELECTRICAL MACHINES AND DRIVES :

• AI-Based Fault Detection and Diagnosis in Power Systems
• AI Techniques for Power System Stability and Security
• Smart Grid Optimization with Machine Learning
• AI-Driven Demand Response and Load Forecasting
• AI-Driven Optimization of Renewable Energy Resources
• Predictive Analytics for Solar and Wind Energy Systems
• AI-Based Fault Detection and Performance Monitoring in Renewable Systems
• AI for Grid Integration of Renewable Energy Sources
• AI-Based Control Strategies for Electric Motors
• Machine Learning Models for Fault Diagnosis in Electrical Machines
• AI-Driven Optimization of Motor Drive Systems
• Predictive Maintenance and Performance Monitoring of Electric Drives
• AI Techniques for Enhancing Efficiency in Electrical Machines
• AI-Enhanced Building Energy Management Systems
• Intelligent Control of Smart Grids and Smart Cities
• AI for Real-Time Data Analysis and Decision-Making in Smart Infrastructure