ICMACC 2026: International Conference on recent trends in Microelectronics, Automation, Computing and Communications Systems

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