ICMACC 2026 (International Conference on recent trends in Microelectronics, Automation, Computing and Communications Systems) is an academic conference held in Hyderabad, India on 2026-11-05. The paper submission deadline is 2026-05-25. Acceptance notifications are sent on 2026-08-30.
TRACKS
VLSI Circuits and System Design
This track brings together researchers from academia and industry to discuss challenges, novel ideas, and recent research in VLSI design of integrated circuits, systems, power systems, and power electronics, with emphasis on Industry 4.0 and digital transformation.
The main topics of this track include, but are not limited to:
Analog, digital, mixed-signal, and RF circuits
Semiconductor device modeling, fabrication, and process technologies
Logic, architectural, and system-level synthesis
Design for testability (DFT), built-in self-test (BIST), and fault tolerance
Speed, power, area, variability, and thermal analysis of VLSI designs
MEMS, MOEMS, and NEMS design and applications
ASIC, FPGA, and SoC design methodologies
Low-power design techniques and energy-efficient architectures
High-performance processors, GPUs, NPUs, and accelerators
2D/3D ICs, TSV-based integration, and advanced packaging
Hardware security, PUFs, and secure chip design
EDA tools, design automation, and verification methodologies
Reliability, aging, electromigration, and robust design
Emerging devices: CNTFETs, FinFETs, TFETs, memristors, spintronics, neuromorphic devices
Power electronics circuits, converters, inverters, and motor drives
Power systems modeling, protection, control, and smart grid technologies
Mixed-signal and RF front-end design for IoT and 5G/6G
Embedded systems, real-time systems, and hardware/software co-design
VLSI for AI, machine learning accelerators, and edge computing
Photonic ICs and optoelectronic integration
Robotics, Automation & Internet of Things
This track focuses on state-of-the-art research and innovative applications in robotics, automation, and IoT, addressing challenges related to industrial applications and smart systems.
The main topics of this track include, but are not limited to:
Industry 4.0 and Industry 5.0
Smart sensors, implantable sensors, and wearable sensors
Nonlinear systems and control
Robot dynamics, kinematics, and control
Industrial automation and process control
Intelligent process manufacturing and production scheduling
Manufacturing engineering and smart factories
IoT enabling technologies
Industrial Internet of Things (IIoT)
Web of Things (WoT)
Fog/Edge computing for IoT
IoT security, privacy, and blockchain for IoT
Data analytics, AI, and machine learning for IoT
IoT applications in healthcare and telemedicine
IoT communication protocols (MQTT, CoAP, etc.)
Digital twins and virtual commissioning
Automation in agriculture and smart farming
Autonomous systems and robotic arms
Drones and UAV applications
Human–robot collaboration (HRC)
Swarm robotics and multi-robot systems
Soft robotics and bio-inspired robotics
Cyber-physical systems (CPS)
Energy-efficient and sustainable automation
Communications, Sensors and Mobile Networking
This track focuses on advances in wireless communication, sensor networks, mobile networking, IoT ecosystems, edge/cloud frameworks, and secure communication for next-generation networks.
The main topics of this track include, but are not limited to:
Next-generation ad-hoc, mobile, and sensor networks
Seamless heterogeneous wireless networks
Satellite and space communications
5G/6G wireless technologies and beyond
MIMO, massive MIMO, and mmWave MIMO systems
Reconfigurable intelligent surfaces (RIS)
Software-defined networking (SDN) and network function virtualization (NFV)
Green and energy-efficient wireless networks
Smart and adaptive antennas
IoT, IIoT, and wearable sensor networks
Vehicle-to-everything (V2X) and connected car communication
Edge and fog computing for smart communication systems
Cybersecurity for communication systems
Quantum-safe and post-quantum cryptography
Secure communication protocols
Privacy-preserving IoT communication
LPWAN technologies (LoRa, NB-IoT, Sigfox)
AI/ML for communication networks
Intelligent routing and resource allocation
Network prediction and optimization
Underwater, terrestrial, and aerial communication systems
Cognitive radio and dynamic spectrum access
Signal, Image, and Multimedia Processing
This track covers theoretical and practical research in signal, image, video, audio, and multimedia processing, emphasizing AI-driven and real-time applications across multiple domains.
The main topics of this track include, but are not limited to:
Biomedical signal processing and systems
Emerging technologies in digital signal processing
AI and deep learning for image and signal processing
Image, video, and vision-based processing
Audio, speech, and language processing
Signal processing for big data analytics
Multimedia signal processing and content analysis
Sensor array and multichannel signal processing
Signal processing for communication and networking
Pattern recognition and machine intelligence
Remote sensing and satellite image processing
Agriculture image and signal processing applications
Speech recognition and speech pathology
Multimodal signal processing applications
Real-time DSP systems and embedded signal processing
Computational imaging and reconstruction techniques
Computational Intelligence and Computing
This track focuses on intelligent systems, advanced algorithms, and computing technologies that enable adaptive, learning-based, and human-like decision-making systems.
The main topics of this track include, but are not limited to:
Algorithms
Programming languages
Computing architectures and systems
Computer graphics, vision, and animation
Software engineering and database systems
Multimedia engineering
Networks, IoT, and cyber security
Cluster, cloud, and grid computing
Data mining and knowledge discovery
Neural networks and deep learning
Meta-heuristic algorithms
Machine learning and intelligent systems
Business intelligence and analytics
Human computer interface
Crowd sourcing and social intelligence
Data Science Engineering
This track emphasizes the engineering foundations of data-driven systems, focusing on scalable architectures, efficient algorithms, and real-world data science applications.
The main topics of this track include, but are not limited to:
High performance computing
Computational biology and bioinformatics
Data centric programming
Data modeling and semantic engineering
Data, text, and web mining
Visualization techniques
Domain-specific data management systems
Knowledge engineering and intelligent information systems
Power, Energy and Power Electronics
This track focuses on advanced research and innovations in power systems, renewable energy, smart grids, and power electronics for sustainable and efficient energy systems.
The main topics of this track include, but are not limited to:
Power generation, transmission, and distribution
Renewable energy sources and technology
High voltage engineering, HVDC, and FACTS
Switching circuits and power converters
Power system monitoring, control, and protection
Micro grids and distributed generation
Control, communication, and monitoring of smart grids
Energy storage systems
Power systems and energy engineering
Transmission and distribution systems and apparatus
Power electronics and energy-efficient drives
Renewable power conversion technologies
Additive Manufacturing
This track focuses on advances in additive manufacturing technologies, materials, design methodologies, and applications shaping next-generation manufacturing.
The main topics of this track include, but are not limited to:
Materials and processes
Design for additive manufacturing (DfAM)
Industrial applications and case studies
Process optimization and control
Metrology and quality assurance
3D printing of electronics
Bioprinting
Advances in additive manufacturing hardware and software
3D printing in healthcare and medical applications
Shape memory polymers for 3D printing
Emerging Education Technologies
This track provides a platform for researchers and academicians to present innovative ideas and practices for integrating technology into engineering education. The focus is on enhancing teaching–learning effectiveness, fostering industry–institute collaboration, and preparing graduates to address global challenges and national initiatives. Authors are encouraged to present implementations of active learning strategies that promote higher-order thinking and professional skills.
The main topics of this track include, but are not limited to:
Bloom's Taxonomy
Assessment to Enhance and Demonstrate Graduate Attributes
Best Practices in Teaching and Learning
Entrepreneurship and Engineering Innovation
Industry-Institute Collaboration
Technology-Driven Learning
Leveraging Government Initiatives
Online Teaching Pedagogies
Project-Based Learning
Diversity and Inclusion in Education
Open Source: Challenges and Opportunities