Call for Papers

Esteemed authors are kindly encouraged to contribute their high-quality research papers describing original and unpublished results of concept-based, constructive, empirical, experimental, or theoretical work in allied areas of Electronics and Green Energy.We Welcome submission for ICETEG international conference in the following tracks and not limited to:

Track 1: Microelectronics and Nanotechnology
  • Quantum Electronics
  • AI specific chip architecture
  • Nano Electronics for AI hardware
  • Nano dielectric devices and Composites
  • Advanced materials and fabrication of AI chips
  • MEMS/NEMS
  • Smart Electronics Systems
  • Edge AI and low power AI chips
  • Electronics System Design
  • AI in semiconductor manufacturing and design
  • Photonics/Opto-Electronic Structures/Devices
  • Display Technologies
  • Consumer Electronics
  • Defence Electronics
  • BioMedicine
  • Nano materials for AI-based computing
  • VLSI design
  • Aerospace/Avionics
  • Biodegradable and bio-based materials
  • Sustainable construction and green building materials
  • Nanotechnology for sustainable materials
  • Smart and adaptive sustainable materials
  • Sustainable textile and fashion materials
Track 2: Sensors and Robotics
  • AI sensors
  • Robots in space
  • Smart sensors
  • Robotic perception and sensing
  • Intelligent robotic systems
  • Emerging sensor technology
  • Agriculture sensor
  • Marine sensing
  • Avionics sensors
  • Flow sensors
  • Robotic Machines
  • Robotics in healthcare
  • Robots in security systems
  • Industrial automation
  • Adaptive and intelligent control
  • Bio-hybrid robotics
  • Edge AI for Robotics
  • Humanoid Robots
  • Autonomous system and AI in Robotics
  • Robotics in Industry 4.0
  • Robotics for extreme environment
  • Swarm intelligence in nanorobotics
  • AI for nanoscale imaging and sensing
Track 3: Computing Technology
  • Quantum Computing
  • AI and high-performance computing
  • Performance Modelling and Computing System
  • Computer Architecture/Interface Architecture
  • Parallel and Distributed Algorithms
  • Smart Grids, Data Centers
  • Big Data Analytics
  • Computational Intelligence and Applications
  • Web Intelligent Applications
  • Machine Learning
  • Artificial Intelligence and Expert Systems
  • Embedded Systems
  • Digital Design, Analog Design, and Embedded Systems Design
  • Microprocessor-Based Technologies
  • DSP Architecture
  • Non-linear Control Systems
  • Quantum Machine Learning
  • Healthcare IT
Track 4: Communication and Networking
  • Ad hoc, Mesh and Sensor Networks/Multimedia Networks
  • Cognitive Radio/Software Defined Radio
  • Delay Tolerance/Communication Networks/Home LAN
  • Security and privacy in AI-driven chips
  • Seamless Connectivity
  • Satellite Communication
  • Modulation and Coding
  • Network Architectures and Middleware
  • Network Coding, Fault-Management, Reliability
  • Radio Resource Management/QoS in Networks
  • Data Compression and Encryption
  • Cryptography and Network Security
  • Networking in Military and Space Applications
  • 5G/6G Technology Networks
  • Optical and Photonic Networks
  • Heterogeneous Wireless Networking
  • Error Control Coding
  • Spread Spectrum Communication
  • OFDM and MIMO
  • Antenna, Filters, Waveguides
  • Computational Electromagnetics
  • Cluster, Cloud and Grid Computing
  • Content Distribution Networks
  • Distributed Multimedia Systems
  • Web and Gaming Applications
  • Storage Area Networks
  • Tools and Techniques for Network Simulation and Performance Measurement
  • Media Technologies
  • Location-based Services
Track 5: Biomedical Applications
  • Biomedical Signal Processing
  • Medical Image Processing/Analysis
  • Biomedical Instrumentation
  • Speech Processing/Analysis
  • AI and ML in Healthcare
  • Pattern Recognition
  • Healthcare Informatics
  • Data Analytics in Healthcare
  • Biomedical Imaging and Diagnostics
  • Biomaterials and Tissue Engineering
  • Biomedical Data Science and AI
  • Wearable and Implantable Medical Devices
  • Biomedical Robotics and Biomechanics
  • Genomics and Personalized Medicine
  • Neuroengineering and Brain-Computer Interfaces
  • Health Information Systems
  • Telemedicine and Remote Care
Track 6: IoT and Embedded Systems
  • Automation
  • Process Control, SCADA, and DCS
  • Green Engineering
  • Automotive Instrumentation
  • Aeronautical Instrumentation
  • Precision Agriculture
  • Medical IoT
  • Robotics
  • Virtual Instrumentation
  • Home Automation
  • IoT Network Protocols and Communication
  • 5G and IoT Integration
  • Embedded Systems Design and Optimization
  • Smart Cities and Infrastructure IoT
  • Cybersecurity Challenges in IoT
  • Big Data in IoT
  • IoT Data Visualization and Decision Making
  • Industrial IoT (IIoT) and Automation
  • Robotics and IoT in Industry
  • IoT in Healthcare and Wearable Devices
  • Agriculture and Environmental IoT
  • Embedded AI and Machine Learning
  • Blockchain for IoT
  • Quantum Computing and IoT
  • Embedded Systems in Consumer Electronics
  • Connected Vehicles and Automotive IoT
Track 7: Intelligent Sensors and Assistive Devices
  • Biosensors
  • Wearable Devices
  • Rehabilitation
  • Therapeutic Devices
  • Augmented Reality and Virtual Reality
  • Smart Sensing Materials
  • Multi-Modal Sensing Systems
  • Low-Power and Self-Powered Sensors
  • AI-Driven Sensor Data Analytics
  • Deep Learning for Complex Sensing Applications
  • Wearable Sensors for Health Monitoring
  • Assistive Hearing and Vision Devices
  • Prosthetics and Orthotics with Embedded Sensors
  • Assistive Robotics and Human-Computer Interaction
  • Smart Home Automation for Independent Living
  • Sensors for Environmental Accessibility
  • Navigation and Location Sensing for Accessibility
  • Voice-Activated Assistive Devices
  • Gesture Recognition in Assistive Technology
  • Natural Language Processing for Assistive Devices
  • Sensor-Based Neurorehabilitation Devices
  • Remote Health Monitoring and Telemedicine
  • IoT in Assistive Devices for the Elderly
  • Smart Sensors in Rehabilitation and Physical Therapy
Track 8: Sustainable Energy and Electric Mobility
  • Green Energy Technologies
  • Hybrid Vehicles
  • Automotive Electronics
  • Renewable Energy Sources (Solar, Wind, Hydro, Biomass)
  • Energy Storage Systems and Technologies
  • Smart Grids and Microgrids
  • Distributed Generation and Integration
  • Hydrogen Energy and Fuel Cell Technology
  • Electric Vehicle (EV) Technologies and Design
  • Battery Technology and Management for EVs
  • Power Electronics and Motor Drives for EVs
  • Charging Infrastructure and Smart Charging Solutions
  • Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) Integration
  • Autonomous and Connected Electric Vehicles
  • Hybrid Renewable Systems (Solar-Wind, Solar-Biomass, etc.)
  • Biofuels and Alternative Fuel Technologies
  • Hybrid EVs and Plug-in Hybrid EV (PHEV) Developments
  • Fuel Cell and Hybrid Powertrain Systems
Track 9:Power and Energy systems
  • Cybersecurity and Data Privacy in Energy Systems
  • IoT and AI for Smart Grid Management
  • Real-Time Data Analytics for Grid Reliability
  • Decentralized and Peer-to-Peer Energy Trading
  • Blockchain for Energy Transactions
  • Intelligent Fault Detection and Predictive Maintenance
  • Energy Efficiency in Industrial and Commercial Sectors
  • Demand-Side Management in Smart Cities
  • Energy-Efficient Building Designs and Technologies
  • Machine Learning and AI Applications for Demand Response
  • Load Forecasting and Real-Time Demand Monitoring
  • IoT and Smart Sensor Integration in Power Electronics and Drives
  • DC Microgrids and HVDC Systems
  • AI-Driven Control Strategies for Power Systems
  • Power Electronics for Data Centers and Energy-Intensive Industries
Track 10: Power Electronics, Drives and Control Systems
  • Power Electronics for Renewable Energy Systems
  • Control Strategies for Efficient Energy Conversion
  • High-Power Converters for EVs and Energy Storage
  • Emerging Power Semiconductor Devices (SiC, GaN)
  • Control Strategies for Electric Machines (PMSM, BLDC, SRM, Induction Motors)
  • Advanced Vector Control and Field-Oriented Control Techniques
  • Biomedical Applications of Power Electronics and Drives
  • Drive Systems for Electric Vehicles and Hybrid Vehicles
  • Design and Control of Multi-Motor Drive Systems
  • High-Efficiency Motor Drives and Energy-Saving Technologies
  • Grid-Tied Inverter Control for Solar PV and Wind Systems
  • Maximum Power Point Tracking (MPPT) for Renewables
  • Converter Topologies for Renewable Energy Systems
  • Hybrid Renewable Energy Systems and Their Control
  • Energy Storage Integration and Control
  • Power Electronics in Off-Grid and Stand-Alone Systems