The 2nd International Conference on recent trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC-24) is focused on research and emphasizes on the latest technological advancements. The conference aims to provide outstanding opportunities for both academic and industrial communities to address new trends and challenges and emerging technologies on the topics relevant to today’s fast-moving areas in the fields of Microelectronics, Automation, Computing and Communications Systems, and so on. The conference comprises of keynote addresses, invited talks, refereed paper and poster presentations, pre-conference tutorials, product exhibitions, and panel discussions. The vision of the ICMACC-24 is to promote brainstorming and collaboration so that critical issues pertaining to individual research activities can be addressed and ideas can be exchanged through extensive discussions. The conference focuses on specific engineering streams, allowing the speakers to dwell deep into the issues and ensure actionable information that can put to use the very next day.

The conference is technically co-sponsored by IEEE Hyderabad Section and is approved by IEEE with the conference ID: #62921

The scope of this Conference is aimed to raise and disseminate awareness about emerging research areas, issues, and success stories in various aspects of VLSI, IoT, Communication, Automation, Signal Processing, Biomedical Engineering, and Computing applications.


All accepted and presented papers in ICMACC 2024 will be submitted to IEEE for further quality/scope check and review. Papers passing the final review will be published by the IEEE Xplore (IEEE’s digital repository, which is Scopus and Google Scholar Indexed). The best papers in each track will be selected for awards by ICMACC.



Prospective authors are invited to submit original research papers (not being considered for publication elsewhere) in standard IEEE conference template (https://www.ieee.org/conferences/publishing/templates.html) describing new theoretical and/or experimental research results in the following broad areas (but not limited to):

Circuits and Systems

Aims to bring together researchers from academia and industry to discuss technical challenges, exchange novel ideas, and report on their latest research in the VLSI design of integrated circuits and systems, Power systems and power electronics. Emphasis on emerging applications towards Industry 4.0and the digital transformations. The track covers a broad range of VLSI areas including design, design methodologies, tools, testing, verification, reliability, and low power and High-performance designs. Also, it covers the design of MEMS, power electronics and power systems. The main topics of this track include, but are not limited to:

  • VLSI design of integrated circuits and systems
  • Power systems and power electronics
  • Low power and High-performance designs
  • Analog, Digital, Mixed signal and RF circuits
  • Semiconductor modelling techniques and fabrication
  • Logic, Architectural and System level synthesis
  • Design for Testability
  • Speed, Power, Area, and thermal analysis of VLSI designs
  • MEMS, MOEMS and NEMS
  • Power Systems and Energy Engineering
  • Transmission and Distribution System and Apparatus
  • Power Electronics & Energy Efficient Drives
  • Renewable Power Conversion Technologies

Robotics, Automation & Internet of Things

The scope of this track is to bring together the global community of experts to discuss the state of art for new research findings and innovative applications. This track also focuses on challenges facing in robotics and automation related to IoT and industry applications.This track also focuses on challenges facing in robotics and automation related to IoT and industry applications. The following is the list of topics, but not limited to:

  • Industry 4.0
  • Smart Sensors & Implantable sensors
  • Nonlinear Systems and Control
  • Robot Dynamics and Control
  • Industrial Automation
  • Intelligent process manufacturing and Production scheduling
  • Manufacturing Engineering
  • IoT enabling technologies
  • Industrial Internet of Things
  • Web of Things
  • Fog/Edge Computing to IoT
  • IoT Security and Block Chain for IOT
  • Data analytics for IOT
  • IOT for Health care
  • IOT Communication protocols

Communications, Sensors and Mobile Networking

“Smart” is a transpiring term surfaced always in the context of the evolving Communication technologies and has the potential to revolutionize the related research domains. The focal point of this track is on addressing the research topics of wireless communication systems across multiple levels, ranging from hardware, interfaces, protocols, applications, and services to improve security, trust, and privacy in smart sensors, IoT devices, wearable devices, smart appliances, connected cars and 5G connected infrastructure. This will bring together various communication system developers to discuss the status, technical challenges, standards, fundamental issues, future services and applications. Broadly the main thrust areas of this track are listed below but not limited to:

  • Next generation Ad-hoc, Mobile and Sensor Networks
  • Seamless heterogeneous wireless networks
  • Satellite and Space Communications
  • 5G/6G Wireless Technologies
  • MIMO, Massive MIMO, mm Wave MIMO
  • Software-Defined Networking (SDN)
  • Green and energy efficient wireless networks
  • Smart Antennas

Signal, Image, and Multimedia Processing

The track welcomes submissions related to the practical and theoretical issues related to developing and deploying systems with constant evolution in Signal, Image, and Multimedia Processing techniques. It focuses on recent research in computer vision, image processing, pattern recognition, deep learning, speech and agriculture applications. The main topics include, but not limited to :

  • Biomedical Signal Processing and Systems
  • Emerging Technologies in Digital Signal Processing
  • AI for Image and Signal Processing
  • Image and Video Processing
  • Signal Processing for Big Data
  • Multimedia Signal Processing
  • Sensor Array & Multichannel Signal Processing
  • Signal Processing for Communication & Networking
  • Speech Recognition and Processing
  • Agriculture Processing

Computational Intelligence and Computing

Computational Intelligence and Computing Technologies refer to a broad area of research and applications that encompass various computational methods and techniques to solve complex problems and mimic human-like intelligence. It combines elements of artificial intelligence, machine learning, optimization, and other computational approaches to develop intelligent systems and algorithms. The field of Computational Intelligence includes several subfields and techniques. This track includes the following key areas within Computational Intelligence and Computing Technologies, but are not limited to:

  • Algorithms
  • Programming Languages
  • Computing Architectures and Systems
  • Computer Graphics, Vision and Animation
  • Software and Database System
  • Multimedia Engineering
  • Networks, IoT and Cyber Security
  • Cluster, Cloud, & Grid Computing
  • Data Mining
  • Neural Networks and Deep Learning
  • Meta heuristic algorithms
  • Machine Learning
  • Business Intelligence
  • Human Computer Interface
  • Crowd Sourcing & Social Intelligence

Data Science Engineering

The Data Science Engineering conference track focuses on the engineering aspects of data science, including the development, deployment, and management of data science systems and solutions. This track emphasizes the practical implementation and real-world applications of data science techniques and methodologies. Here are some key areas that are typically covering in this track but are not limited to:

  • High Performance Computing
  • Computational Biology & Bioinformatics
  • Data Centric Programming
  • Data Modelling & Semantic Engineering
  • Data, Text, Web Mining, & Visualization
  • Domain Specific Data Management
  • Knowledge Engineering

Power, Energy and Power Electronics

The Power, Energy, and Power Electronics conference track focuses on various aspects related to power systems, energy generation, transmission, distribution, and the application of power electronics in these areas. This track covers a wide range of topics related to power engineering, energy systems, and power electronics. Here are some key areas typically covered in this track, but are not limited to:

  • Power Generation, Transmission and Distribution
  • Renewable Energy Sources and Technology
  • High Voltage Engineering, HVDC-FACTS
  • Switching Circuits & Power Converters
  • Power System Monitoring, Control and Protection
  • Micro Grids& Distributed Generation
  • Control Communication and Monitoring of Smart Grid
  • Energy Storage System

Additive Manufacturing

3D printing or additive manufacturing is the construction of a three-dimensional object from a CAD model or a digital 3D model. It can be done in a variety of processes in which material is deposited, joined or solidified under computer control, with material being added together (such as plastics, liquids or powder grains being fused), typically layer by layer. This conference track focuses on all such 3D models. Here are some key areas typically covered in this track, but are not limited to:

  • Materials and Processes
  • Design for Additive Manufacturing
  • Industrial Applications and Case Studies
  • Process Optimization and Control
  • Metrology and Quality Assurance
  • 3D printing of electronics, bioprinting, advances in machine hardware and software
  • 3D Printing in Health Care & Medicine

Emerging Education Technologies

Emerging Education Technologies track provides scope for researchers and academicians to present ideas and their work for integrating the tools into the classroom to make the learning process much easier. Technology simplifies the way teachers do their jobs, providing effective ways to forge a relationship between teacher and student. It focuses on connecting engineering teachers and administrators across the globe to share best practices. Thereby learn to transform their own institutional efforts to prepare engineering graduates who can address global challenges as well as targeted initiatives of the Indian Government. Authors are encouraged to describe the implementation of active learning strategies that provided opportunities to hone higher order thinking and professional skills. The papers related to the following, but are not limited to:

  • Blooms Taxonomy
  • Assessment to Enhance and Demonstrate Graduate Attributes
  • Best practices in Teaching and Learning
  • Entrepreneurship and Engineering Innovation
  • Creating Industry-institute collaboration
  • Learning driven by Technology
  • Leveraging Government initiatives
  • Online teaching pedagogies
  • Project based learning
  • Revolution of diversity issues
  • Open Source: Challenges and opportunitiesBlooms Taxonomy