Pervasive computing healthcare applications represent a set of connected networks with hidden objects and wearable sensors that are context-aware to deal with uncertain situations. The smart sensors and wearable devices potentially understand the patient's surroundings, their health condition and act accordingly without explicit instructions. It effectively monitors various factors such as patient heart rate, blood pressure, glucose level, ECG, pulse, and numerous other elements based on the scope and application of the pervasive systems. It completely observes the patient's activity right from when they wake up till the time they get to bed and during sleep. Personalized pervasive healthcare systems are basically designed to make healthcare services easier and smarter. Such that it understands the personal healthcare preferences of each individual user and takes the intended course of action.

Submission Deadline: 20 August 2023
Author Notification: 10 October 2023
Revised Paper Deadline: 15 December 2023
Final Notification: 10 Feburary 2024

The rise of Artificial intelligence is no doubt changing our lives towards a new digital age. Every sector across the globe is gaining more technological innovations and importance with the growth of AI and its applications. While the data we collect keeps increasing, we will need to adapt to new digital age technologies of AI and IoT for optimistic solutions. Today, many value-oriented tasks are successfully improved with the help of AI, minimizing dependency through automated versions of digital systems. AI has an enormous impact on the future of economies, offering massive advantages in competitiveness to all business sectors. The proliferation of data is continuing to skyrocket, increasing the need for better storage options which is why artificial intelligence is one of the transformative technologies of this new digital age. While looking into the business, AI is changing the nature of jobs with rapid advancements in AI Robotics and tools. The research gaps across all global industries are poised to grow along the new digital age arising with artificial intelligence tools for the foreseeable future.

Submission Deadline: November 10, 2023
Author notification: February 25, 2024
Revised Papers Due: April 30, 2024
Final Notification: July 05, 2024

The evolution of technology has revolutionized our living spaces by simplifying and enhancing our day-to-day activities. Technology serves as a pivotal tool and plays a fundamental role, finding its application across various domains from healthcare to agriculture. However, it's evident that no single machine can meet the unique demands of every sector. To address this challenge, we've engineered an embedded system that offers the adaptability and customization needed for diverse specifications. Embedded systems involve the integration of hardware components with embedded software. These systems can function as standalone units or as subsystems within larger frameworks. They are purpose-built to execute specific tasks, such as a fire alarm system designed solely to detect smoke. The integration of AI with embedded systems heralds the future of this technology. Embedded AI refers to the implementation of machine learning and deep learning within the software at the device level. This approach empowers the system to provide predictive insights and flexible data analysis. Crafting intelligent software that operates within resource-constrained environments, especially in real-time settings, is a complex endeavor. To address this complexity, solutions like parallelizing reasoning or incorporating hardware components have been devised. Moreover, forging connections between AI models and various embedded systems is a paramount objective in this domain.

Submission Deadline: 05^th May, 2024
Author Notification: 05^th July, 2024
Revised Papers Deadline: 25^th August, 2024
Final Notification: 25^th October, 2024

Recent Covid-19 pandemic is the major outbreak in recent times, which has led to dramatic loss on the global economy and health of human communities. It has overwhelmed the healthcare industry worldwide with its domino effect on the diagnosis and treatment of various diseases. To break the community spread of the virus, government and healthcare agencies have imposed containment measures such as lockdown, the closing of country borders, and social distancing measures. The Healthcare sector is regulating advanced techniques to speed up the diagnostic methods, efficient monitoring, and early prediction of the spread of the virus. In the world of digital innovations, the integration of technology would help the health care sector enhance its medication system to prevent the world from the progress of the deadly virus. Among various technological inventions, Artificial intelligence (AI) is one of the emerging tools that is most used in multiple sectors. It has extended its benefits in the medical industry by predicting several positive cases, infections symptoms, and rate of transmission to control the spread of infections. It has spotted a race of development of vaccines against this pathogen. The conventional approach is prevalent in the healthcare sector in predicting early signs of infections in the human body. Still, this technique is time-consuming and cannot interpret the results accurately, which is needed for the present situations. Henceforth, artificial intelligence is helping the medical industry address the pandemic's scale by providing future predictions with transparency and accuracy. It was found to be a par with and produce results more accurately than human experts in drug discovery and diagnosis.

Submission Deadline: Febuary 20, 2024
Author Notification: April 25, 2024
Revised Papers Due: June 10, 2024
Final Notification: September 05, 2024

Human-robot interaction (HRI) has become an increasingly important field in recent years, with the development of advanced artificial intelligence and robotics technologies enabling robots to perform a wide range of tasks and interact with humans in various settings. Robotics has made tremendous progress in terms of capability and efficiency. However, many existing robotic technologies fail to account for the background knowledge during operation in a task context. In particular, a lack of context awareness may cause huge misunderstandings between humans and robots, leading to undesirable situations (e.g., accidents). To effectively deal with such problems, there is a need to address the underlying issue, i.e., ignorance of task context, by providing adequate contextual information to the system/robot as soon as possible so that it can respond accordingly without causing more damage or potentially dangerous situations. However, one major challenge in HRI is the ability of robots to understand and adapt to the context in which they operate, as well as the semantics of the language used by humans.

Submission Deadline: December 25, 2023
First Reviews Due: February 28, 2024
Second Reviews Due: April 15, 2024
Notification of Final Decision: May 31, 2024
Publication Date: As per Journal Decision

Human-system interaction must enable people to interact with autonomous systems at the appropriate levels of abstraction, recognize their decisions and actions, and be able to influence them. New human-system engineering methodologies are essential to ensure that the integration of autonomous systems into society will proceed effectively and often without difficulty. To be secure, resilient, productive, and equitable in the autonomous future, autonomous systems that collaborate in the surroundings should integrate their connections and interactions via networks, the physical environment, and humans. The operational success that the autonomous human systems were intended for depends on systems engineering.

Submission Deadline: 10^th May, 2024
Author Notification: 20^th August, 2024
Revision and Resubmission Deadline: 25^th October, 2024
Paper Acceptance: 5^th December, 2024