Call for Papers- SI on MLCA

Special Issue on Machine Learning embedded with Cellular Automata applied to Network Security, Cryptography and Real-time Biomedical Applications

Aims and Scope

Machine Learning (ML) works as an efficient and prominent paradigm in the sphere of the real-time applications including network security, cryptography and biomedical sciences that possess an extensive impact on current human lifestyle in various prospective. Interestingly, Cellular Automata (CA) has also a wide number of application fields. CA is basically employed in the fields of parallel computing as well as biological system & physical architecture modeling. There is fair possibility to accomplish the improved algorithms/frameworks through CA-based Pattern Classification or Clustering methodologies. In this current era, efficient storage and handling bigdata in various forms are challenging tasks. CA model is useful for the compression (viz., lossy and lossless) and encryption of various categories of data files that are transported across various communication channels. Quantum Cellular Automata (QCA) is another major sub-field for developing various models & designs that consume less power, occupy less area, as well as high switching speed.
The motto of this special issue is to determine best possible and potential solutions for the major challenges in multi-disciplinary areas including network security, cryptography and real-time biomedical applications through integral study of ML, DL, optimization and automata. In details, it basically covers various ML/mathematical problems viz., feature selection, clustering, classification, time complexity analysis, optimization, regression as well as different biomedical problems, viz., biomarker detection, gene signature, epigenetic aging clock/model, image segmentation and classification. In addition, this research topic includes real-time CA designs, network security architecture in CA, improving data transmission security applying steganography and cryptography, compiler design, secure quantum computing, and development of improved nano computing devices. Moreover, in today’s scenario, integration of ML and automata in the multi-disciplinary areas will provide excellent powerful dimension to the researchers that will be benevolent to human being.

Lead Guest Editors

Dr. Saurav Mallik
 The University of Arizona, Tucson, AZ, USA
Research Interests: Computational Biology, Data Mining, Bio-statistics, Machine Learning

Dr. Aimin Li
Xian University of Technology, China
Research Interests:  Machine learning, bioinformatics, computational biology, system biology

Guest Editors

Dr. Hong Qin
The University of Tennessee at Chattanooga, USA
Research Interests:  Graphics Vision, Medical Imaging, Visual Computing

Dr. Debashis De
Maulana Abul Kalam Azad University of Technology, India
Research Interests:  Mobile edge computing, Quantum Dot Cellular automata, Internet of things, Mobile crowdsensing, Dew Computing

Dr. Bikash Debnath
Sikkim Manipal University, India
Research Interests: Quantum dot Cellular Automata, Image Processing, Steganography, Cryptography

Dr. Jadav Chandra Das
Technology, Maulana Abul Kalam Azad University of Technology, India
Research Interests: Nano Communication, Quantum Dot-Cellular Automata, Cryptography, Reversible logic design, IoT

Dr. Sudeshna Rakshit
SRM Institute of Science and Technology, Chennai, India
Research Interests:  Cardio-oncology


Special Issue Information
The contributions from researchers describing their original, unpublished, research contribution on the following theme (but not limited to):

  • ML, DL, optimization on social networking data.
  • ML, DL, optimization on biomedical data (viz., gene expression, DNA methylation, histone acetylation, etc.).
  • Integration of ML/DL and automata on networking and medical domains.
  • Secure nano-communication using Quantum dot CA.
  • Automata and compiler design on network and social networking data.
  • Optimized routing for secure data transmission using CA.
  • Wireless ad hoc network intrusion detection.
  • Implementation of secure Actin Quantum Cellular Circuit.
  • Enhancement of cryptographic encryption using CA.
  • Enhanced Network Security model based on CA.
  • CA-based secure IoT and IoMT solutions.
  • Real-time CA designs.
  • Network security architecture in CA improving data transmission security applying steganography and cryptography.
  • Secure and enhanced quantum computing.
  • Development of the architectures for nano computing devices.
  • Enhancing image encryption methodologies depending upon CA.
  • Epigenetic aging clock/model creation through ML, soft computing and automata.
  • Disease diagnosis and drug discovery using ML, soft computing and automata.
  • Homomorphic Encryption for secure cloud computing.
  • Implementation of enhanced Pseudo Random Number Generator using CA.
  • Pattern Recognition and Pattern Classification using CA.

Manuscript Submission Information
Submission deadline: March 30, 2023
Submissions that pass pre-check will be reviewed by at least two reviewers of the specific field.
Free fast publication and early access will be provided to all accepted papers. 

If you have any queries regarding this special issue or other matters, please feel free to contact the editorial office: