AICECS 2024 invites full-length original research contributions from science, engineering professionals from industries, R&D organizations, academic institutions, government departments, and research scholars from across the world. The manuscript should contribute original research ideas, developmental ideas, analysis, findings, results, etc. Full-length original research contributions and review articles not exceeding FOUR pages single-column format shall be submitted. The manuscript should not have been published in any journals/magazines or conference proceedings and not under review in any of them. All the submitted manuscripts initially will be screened by plagiarism detection software Turnitin. Only, the paper that passes the accepted limit of similarity index will be forwarded for review. The accepted similarity percentage for this conference is 20% (including references/bibliography and all other sources). The paper has to be checked for similarity index with word count less than 3 in the setting). If any paper found to have a high similarity index than the accepted limit mentioned above will be outright rejected without sending it out for review. Also, if at any stage during or after publication the paper is found to be plagiarized it will be retracted immediately. Further, the manuscript should contain the name of the corresponding author with e-mail id and affiliation of all authors. All the submitted manuscripts will be sent for peer review and the corresponding author will be notified of the outcome of the review process. If reviewers recommended further improvements in the manuscript, the manuscript will be sent back to the corresponding author and the revised version of the manuscript shall be submitted within one week from the date of notification. 

Publications: To be updated

Research manuscripts are invited in the following topics (but not limited to)

Track1: Artificial Intelligence

  • Machine learning
  • Computer vison
  • Pattern recognition
  • Signal Processing Algorithms and Architectures
  • Biomedical Signal Processing and Analysis
  • Analog and Mixed Signal Processing
  • Hardware Implementation for Signal Processing
  • Higher Order Spectral Analysis
  • Image and Multidimensional Signal Processing
  • Internet Signal Processing
  • Machine Learning for Signal Processing
  • Quantum Signal Processing
  • Signal Processing Over Graphs
  • Remote Sensing and Signal Processing
  • Sensor Array & Multichannel Signal Processing
  • Industrial Signal Processing
  • Signal Processing for Communication & Networking

Track 2: Computational Electronics

  • VLSI Circuits and Systems
  • RF Circuit Design and Testing
  • Emerging Trends in VLSI
  • Reconfigurable Systems
  • System on Chip
  • Heat Dissipation Analysis
  • Design of MEMS Devices
  • Optical MEMS Devices
  • Nanotechnology
  • Photovoltaics
  • Analog / Mixed Signals
  • RF Circuit Analysis
  • Field Programmable Systems
  • System Level Design
  • Physical Design and Testing
  • Power Awareness Analysis
  • Design of NEMS Devices
  • Electrical Packaging
  • Thin film and devices
  • Printable, Flexible and stretchable electronics
  • Organic Electronics
  • Bio-electronics, biosensors and Biomedical devices
  • Microfluidics and Lab-on-chip sensors
  • Energy Storage Materials and Devices
  • Quantum dots
  • Nanodevices

Track 3: Communication Systems

  • Antenna Engineering
  • Waveguide and Filter design
  • Microwave Compatibility
  • Electromagnetic Interference
  • Body Area Networks
  • Network Control & Management
  • Disaster Recovery of Networks
  • Cognitive Communications
  • Wireless Sensor Networks
  • LTE and 5G Networks
  • Software-Defined Networks
  • Future Internet Architecture
  • Internet of Things
  • Network Performance Analysis
  • QoS for Emergency Applications
  • Photonics
  • Wireless and Mobile Networks
  • Ad hoc and Mesh Networks