About the Journal

The International Journal of Automation and Smart Technology (AUSMT) is a peer-reviewed, open-access journal devoted to publishing research papers in the fields of automation and smart technology. It is currentl

The primary objective of this SI is to analyze how HCI methodologies influence VR design and to propose strategies for improving interaction efficiency, usability, and immersive experience. Additionally, this study aims to identify challenges in VR technology implementation and suggest future research directions to optimize human-computer interaction in virtual environments.

Guest Editor:  Dr. Mustafa Bin Man

Submission Deadline - 05.08.2025


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NOTICE: In order to simplify the procedure, AUSMT now only accepts Special Issue Proposal Submission through this Google Form. Please do not send special issue proposal as emails to the CIE, such emails will be redirected or ignored. If you already submitted your Proposal through AUSMT Website, you can ignore this message.


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Integration of sensor data with AI for personalised health interventions

  Wearable sensor data can be processed by machine learning (ML) and artificial intelligence (AI) algorithms to yield insights into a person's health status. This allows for the early identification of health problems and the delivery of individualised healthcare. Healthcare providers can create individualised treatment regimens that take into account each patient's unique traits with the help of AI algorithms.

Guest Editor :  Prof. Usman Ahmad Usmani

Submission Deadline - 30.11.2024


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Energy-Efficient Security Protocols for Wireless Sensor Networks in Harsh Environments

The goal of energy-efficient routing protocols is to extend the lifespan of each SN while lowering energy usage. Conversely, energy-balanced routing strategies increase network longevity by distributing power usage among network nodes in an equitable manner. While IlTESLA offers authenticated broadcast for networks with extreme resource constraints, SNEP concentrates on data confidentiality, two-party authentication of data, and data freshness. Among the clustering routing methods used in wireless sensor networks is LEACH (Low Energy Adaptive Clustering Hierarchy).

Guest Editor: Dr. Yusliza Yusoff

Manuscript Submission Deadline: 25th Jan, 2025

 

 


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Evolution of Robotics: Autonomous Machines in Manufacturing, Healthcare, and Personal Assistance

Robots are revolutionising automated processes and are becoming more and more common in several sectors. They are used in conveyance, industry, medicine, and cultivation, among other industries. Robots are developing from basic automated devices to smart and autonomous systems that are able to see, learn, and make decisions thanks to advances in artificial intelligence (AI).

Lead Guest Editor: Dr. Kashif Hussain Memon

Submission Deadline : 10th December, 2024

 

 


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1. Internet of Things Assisted Improved Fuzzy Aggregation Data Management in Smart Manufacturing Enterprise. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/gypc2h13

2. Optimization of Photovoltaic Integrated Cold Storage Systems Utilizing Aluminum Oxide Nanoparticle-Enhanced Phase Change Materials for enhancing Supply chain management in refrigeration vehicle. (2025). International Journal of Automation and Smart Technology15(1), 19. https://doi.org/10.5875/vcs7yj42

3. Exploring the Synergy of Self-Supervised Learning and Bayesian Networks for Customer Profiling in the Insurance Industry. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/py039m26

4. Unified Robotic Automation and AI-Driven Transformer-Guided Graph Neural Network with Hybrid 3D-CNN, BiLSTM, and Adaptive Neuro-Symbolic Fuzzy Decision Framework for Histological Subtype and Lymph Node-Aware Breast Cancer Prediction. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/j8f74e88

5. Advanced Defect Localization Using Principal Component Analysis (PCA) and Bilateral Filtering in Robotics Systems. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/hdn8ww39

6. Advanced Robotic Automation with Transformer-Guided GNNs, Hybrid Neural Architectures, and Fuzzy Decision Frameworks for Accurate and Scalable Breast Cancer Prediction. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/0vgbgx78

7. Securing Cloud-Edge Collaborative Computing with AI, GANs, TEEs, Micro Data Centers, and Cloud-Oriented DevOps for Privacy Protection. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/xyfd7w08

8. Enhanced Metal Surface Defect Localization with SH-SAM and Grey Level Co-Occurrence Matrix (GLCM) in Robotics Automation. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/mx8d9844

9. Comprehensive Surface Analysis Using PCA and Gradient Vector Flow Snakes for Defect Localization in Robotics Automation. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/yqzftk47

10. AI-Optimized Cloud-Edge Collaborative Systems for Data Privacy: Statistical Detection, PCA, GWO Integration, and Fog Computing. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/0p173j26

11. Optimizing Data Privacy and Threat Detection in Cloud-Edge Collaborative Systems: AI-Driven Approaches with MCC, PSO, and CDNs. (2025). International Journal of Automation and Smart Technology15(1). https://doi.org/10.5875/f20nx950

Articles

Special Issue(24-04): Ubiquitous Green Artificial Intelligence based Computing for Smart Transportation

Exploring the Synergy of Self-Supervised Learning and Bayesian Networks for Customer Profiling in the Insurance Industry

Rajeswaran Ayyadurai, Ramya Lakshmi Bolla , Jyothi Bobba , Karthikeyan Parthasarathy , Naresh Kumar Reddy Panga , Roseline Oluwaseun Ogundokun (Author)

Advanced Defect Localization Using Principal Component Analysis (PCA) and Bilateral Filtering in Robotics Systems

Kannan Srinivasan, Guman Singh Chauhan, Rahul Jadon, Joseph Bamidele Awotunde (Author)

Securing Cloud-Edge Collaborative Computing with AI, GANs, TEEs, Micro Data Centers, and Cloud-Oriented DevOps for Privacy Protection

Rama Krishna Mani Kanta Yalla, Mohanarangan Veerappermal Devarajan, Thirusubramanian Ganesan , Akhil Raj Gaius Yallamelli , Vijaykumar Mamidala, Aceng Sambas (Author)

Enhanced Metal Surface Defect Localization with SH-SAM and Grey Level Co-Occurrence Matrix (GLCM) in Robotics Automation

Rajani Priya Nippatla, Sunil Kumar Alavilli, Bhavya Kadiyala, Subramanyam Boyapati, Chaitanya Vasamsetty, Harleen Kaur (Author)

Comprehensive Surface Analysis Using PCA and Gradient Vector Flow Snakes for Defect Localization in Robotics Automation

Sreekar Peddi, Dharma Teja Valivarthi, Swapna Narla, Sai Sathish Kethu, Durai Rajesh Natarajan, Purandhar N (Author)

Optimizing Data Privacy and Threat Detection in Cloud-Edge Collaborative Systems: AI-Driven Approaches with MCC, PSO, and CDNs

Dinesh Kumar Reddy Basani, Raj Kumar Gudivaka , Rajya Lakshmi Gudivaka , Sri Harsha Grandhi, Basava Ramanjaneyulu Gudivaka, M M Kamruzzaman (Author)

International Journal of Automation and Smart Technology (AUSMT)  follows a fully open-access policy, and authors are not required to pay any publication or processing fees.

The research areas of the journal include but are not limited to the fields of mechatronics, automation, ambient Intelligence, sensor networks, human-computer interfaces, and robotics.

These technologies should be developed with the major purpose of increasing the quality of life as well as working towards environmental, economic, and social sustainability for future generations.

AUSMT endeavors to provide a worldwide forum for the dynamic exchange of ideas and findings from research of different disciplines from around the world. Also, AUSMT actively seeks to encourage interaction and cooperation between academia and industry in the fields of automation and smart technology.

For the aforementioned purposes, AUSMT maps out 5 areas of interest. Each of them represents a pillar for a better future life:

    • Intelligent Automation Technology: The scope of intelligent automation technology regards all aspects of advanced automation technologies from basic sciences developments to various industrial applications, including: automated design and manufacturing, automated (optical) inspection, transportation, logistics, machine tools, control systems and devices.
    • Ambient Intelligence, Context Awareness, and Sensor Networks: The scope of ambient intelligence, context awareness, and sensor networks is interested in publishing the latest developments on ambient intelligence and smart environment. We welcome results concerning: multi-modal sensing and vision processing, interpretation and reasoning algorithms, human-centered services, networking, mobile and ubiquitous computing, cloud computing. This includes both the research study and application aspect of the related topics.
    • Human-Computer Interface: The scope of human-computer interface is interested in publishing recent developments in the theory and practice of innovative interactive systems. We welcome research results in computing, artificial intelligence, psychology, linguistics, communication, interactive systems and social organization. We also welcome interdisciplinary researches covering multiple areas. Research results across humanity and engineering disciplines are very welcomed.
    • Optomechatronic Modules and Systems: The scope of opto mechatronic modules and systems is interested in publishing the most recent developments in opto Mechatronics components and systems. The intended areas include research in application in advanced optics, precision optical-based servo systems, integrated technologies in sensors and actuators, automated optical inspection technologies, vision-based systems, and other related research results.
    • Robotics, Intelligent Devices and Systems: The scope of robotics, intelligent devices, and systems covers all areas of robotics, computer-embedded systems, intelligent machines, and devices. Related topics include intelligent systems applications in manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc.