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Call For Papers – ICMACC 2026

The 3rd International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC-26) aims to bring together leading academicians, researchers, and industry experts to share their insights on the latest technological advancements. The conference focuses on emerging trends, research challenges, and innovative solutions in the rapidly evolving domains of Microelectronics, Automation, Computing, and Communication Systems.

The conference is technically co-sponsored by IEEE Hyderabad Section and is approved by IEEE with conference ID: #69869.

All accepted and presented papers will be submitted to IEEE Xplore®️ for inclusion, subject to IEEE Xplore®️ quality checks and scope validation. Papers that meet IEEE requirements will be published in IEEE Xplore®️.(Scopus Indexed)

Published Papers – Previous Editions

IEEE Paper Template: Download Template →

Submission Guidelines

Prospective authors are requested to submit original, unpublished research papers (not under review elsewhere) and full-length papers not exceeding 5 pages. An additional charge of Rs. 1000/- per page will be applicable for extra pages, up to a maximum of 8 pages.

  • Paper must clearly state objectives, methodology, and significance.
  • Use IEEE conference template (Word or LaTeX).
  • Submit only via Microsoft CMT platform.
  • Only one track must be selected for each submission.
  • Double-Blind Review: Do not include author details.
  • Do not include page numbers in the manuscript.
  • PDF size must be under 20 MB with no security settings.
  • Similarity Score must be below 30% (including references).

Any deviation from specifications may result in immediate rejection.

Additional Instructions

  • All authors must register on CMT platform prior to submission.
  • IEEE copyright form required during camera-ready submission.
  • Papers with 5% or more similarity from any single source will not be reviewed.
  • Papers with ≥60% similarity will be rejected outright.
  • Previously published or simultaneously submitted papers will be rejected.
  • TPC Chairs reserve the right to reject non-compliant submissions.

Important IEEE Policy

Authors of accepted papers must sign the IEEE copyright release form and present their paper at the conference. IEEE reserves the right to exclude papers from IEEE Xplore (including after publication) if they are not presented at the conference.

Papers are reviewed with the expectation that they are free from plagiarism and not under consideration for publication elsewhere. IEEE treats plagiarism and double submission seriously.

IEEE Ethics Guidelines →
Submit Paper →

Important Dates

Start of Paper Submission

1 January 2026

01

Last Date for Submission

25 May 2026

02

Notification of Acceptance

30 August 2026

03

Camera Ready + Registration

25 September 2026

04

Final Program

15 October 2026

05

Conference Dates

5–7 November 2026

06

Best Paper Awards

ICMACC-26 celebrates excellence in research and innovation through various award categories

Best Research Paper Award

Best Student Paper Award

Women Excellence Award

Young Professional Award

Travel Grant for Students

Eligibility Criteria

  • Authors must have an active IEEE membership.
  • Only authors or co-authors of accepted and presented papers will be considered.
  • Only one author per paper is eligible for awards and grants.
  • Best Student Paper Award: Primary author must be a U.G/P.G. student at time of submission and present the paper.
  • Women Excellence Award: Primary author must be a woman and present the paper.
  • Young Professional Award: Primary author must be within two years of graduation and currently employed.
  • Travel Grant for Students: Full-time students pursuing Bachelor's or Master's degree are eligible.

*Only papers presented at the conference will be eligible for awards.*

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