Date : April 23 - 24, 2024
New
Delhi, India
ICIDSSD'24 invites proposals to organize Special Sessions related to the conference theme and key topics within the conference scope. Please send your special session proposals as a Word file to icidssd@jamiahamdard.ac.in.
Sl No |
Special Session Title | Session Details | |
1 |
Sustainable industrialization and foster innovation | The outcome of this session is to provide a platform to various industries and researchers to their contributions to develop quality, reliable, sustainable and resilient infrastructure, including regional and trans border infrastructure, to support economic development and human well-being, with a focus on affordable and equitable access for all. upgrade infrastructure and retrofit industries to make them sustainable, with increased resource-use efficiency and greater adoption of clean and environmentally sound technologies and industrial processes, with all countries taking action in accordance with their respective capabilities | |
2 |
Advancement and challenges in Artificial Intelligence | Artificial Intelligence (AI) is a rapidly evolving technology that tries to simulate human intelligence using machines, enabling them to perform a wide range of applications. This special session on AI can be an exciting opportunity to explore and discuss the latest advancements, challenges, and future directions in the field. The session will provide a platform for knowledge exchange, collaboration, and networking among participants. Some of the issues that will be discussed at this session include, but are not limited to: machine learning algorithms, generative AI, emerging applications of artificial intelligence, Artificial intelligence and interdisciplinary research including IoT, Block-chaining etc. Members from academia, and industry are invited and requested to share their thoughts. | |
3 |
Imperatives and Challenges in IoT, Artificial Intelligence and Machine Learning for Smart and Sustainable Development | Department of Electronics and Communication, SIRT, Bhopal is interested to organize a special session on Imperatives and Challenges in IoT, Artificial Intelligence and Machine Learning for Smart and Sustainable Development under IEEE student branch (STB12901). This special session aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of IOT, Machine Learning and Artificial Intelligence. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of IOT, Machine Learning and Artificial Intelligence for sustainable development. Participants will develop a deep understanding of latest tools and technologies pertaining to latest topics and will get a chance to connect with other professionals in the field. |
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4 |
Integration of IoT based systems with BlockChain and SMART Computing for Sustainable Development | The session attempts to demonstrate
IoT based smart systems with ML predictive analysis that could generate data from IoT based sensors. The data generated will be analysed with the help of ML and FL algorithms that would perform predictive and classification analysis. Furthermore, the security and privacy issues of the system can be addressed using Federated Learning (FL) and blockchain. FL can be used to address the issues of privacy preservation and handling big data generated by IoT system. Blockchain is a distributed ledger that can store data while providing trust and integrity assurance. |
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5 |
Navigating Governance, Sustainability, and Security in Pursuit of Sustainable Development | This special session delves into the intricate interplay of governance, sustainability, and security crucial for fostering sustainable development. With a focus on contemporary challenges and opportunities, the session will examine how effective governance frameworks can ensure the sustainable utilization of resources, promote social equity, and foster environmental stewardship. Furthermore, it will explore the role of robust security measures in safeguarding sustainable development initiatives against cyber threats and geopolitical risks. Through insightful discussions, case studies, and best practices, the session aims to elucidate the synergies between governance, sustainability, and security, offering attendees actionable insights to navigate the complexities of sustainable development in an increasingly interconnected world. | |
6 |
Recent Trends in Artificial Intelligence, Internet of Things and Blockchain | In Industry 5.0 paradigm, AI-based systems are the essential component for the Internet
of Things. In most applications, Industry 5.0 showed a significant connection between
intelligent systems and humans through accurate manufacturing automation with critical thinking skills. Also, Industry 5.0 brings several competent tools that help organizations work inexpensively and instantly change without any principal investment. In recent years, smart devices, wireless communication, and sensor nodes have made considerable advances, making the Internet of Things (IoT) ecosystems. The Internet of Things (IoT) is a network of interconnected, Internet-connected devices that can capture and transmit data without the need for human interaction over a wireless network. With the introduction of IoT, human beings take some relaxed and unburden feelings. IoT devices enable users to obtain information even in rural surroundings and prepare reports without restrictions. In addition, they accurately guide human beings with intelligent judgments via communication, as mentioned earlier, technologies. Numerous connected devices collect a considerable quantity of raw sensed data, where it needs pre-processing. However, only it turns into something valuable because of IoT devices’ adequate resources entailed to edge computing. Artificial intelligence-based algorithms are the necessary means for information inference in edge computing. Besides, the sensed data accumulated from IoT applications are generally unstructured and need further analysis, where AI-based models help extract relevant information |
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7 |
Disruptive Technologies | The special session will be on the title – Disruptive Technologies. Disruptive technology is an innovation that causes major changes in the way consumers, businesses, and industries operate. Disruptive technology has the potential to replace existing systems or habits through its attributes that are measurable and superior. All the research paper covering latest research/review/analysis/statistical data analysis on the top disruptive technologies such as: Edge Computing, 5G and Improved Connectivity, Artificial Intelligence and Machine Learning, Virtual and Augmented Reality, Automation and Robotics, 3D Printing, Headless Tech, Cyber Security Advances, The Rise of “As-a-Service” Computing, The Work-From-Home Revolution, Voice-Activated Searches etc. will be presented and discussed in this session. | |
| 8 | Computational Intelligent Algorithms and Systems for Health Care and Sustainable Development | Computational intelligent algorithms and systems have become increasingly prominent in healthcare and sustainable development. This session endeavors to offer a thorough examination of their applications, advancements, challenges, and prospects within these vital fields. By exploring into the multifaceted roles of computational intelligence, we aim to elucidate its transformative potential in shaping the future of healthcare delivery and sustainable practices. The integration of computational intelligence, including machine learning, artificial intelligence, data analytics, and optimization algorithms, has revolutionized various aspects of healthcare delivery and sustainable development initiatives. These technologies enable the analysis of vast amounts of heterogeneous data sources, including electronic health records, sensor data, environmental data, and socioeconomic indicators, to extract meaningful insights for decision-making. In healthcare, computational intelligent algorithms have been deployed for disease diagnosis, prognosis, personalized treatment recommendation, drug discovery, and healthcare resource optimization. These systems facilitate early detection of diseases, improve patient outcomes, and enhance the efficiency of healthcare delivery.
Computational intelligence also plays a pivotal role in addressing challenges related to sustainable development, such as environmental monitoring, energy optimization, circular economy, urban planning and mobility, resource allocation, and disaster management. Future research directions include the development of robust and interpretable models, integration of domain knowledge into computational frameworks, and interdisciplinary collaborations to foster holistic solutions that promote human well-being and planetary health. |
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| 9 | Natural language processing with optimization | Natural Language Processing (NLP) has witnessed significant advancements in recent years, fueled by the integration of optimization techniques into its methodologies. It presents a comprehensive overview of the role of optimization in enhancing various aspects of NLP tasks. Optimization algorithms, ranging from traditional techniques like genetic algorithms and simulated annealing to modern approaches such as deep learning-based optimization, have been leveraged to address key challenges in NLP, including language modeling, machine translation, sentiment analysis, and named entity recognition. Optimization plays a crucial role in optimizing model parameters, hyperparameters, and architecture designs to improve the performance and efficiency of NLP models. Additionally, optimization techniques have been applied to optimize the process of feature selection, dimensionality reduction, and text representation learning, leading to enhanced feature quality and model interpretability. |
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| 10 | Unveiling the Shadows: Exploring Information Security, Dark Patterns, and Artificial Intelligence | The session aims to scrutinize the intricate nexus between information security, dark patterns, and artificial intelligence (AI). In today's digital milieu, the convergence of these domains raises critical concerns and presents unprecedented opportunities. Dark patterns, subtle design strategies crafted to manipulate user behavior, have emerged as a pervasive threat to user privacy and autonomy. This session endeavors to illuminate the clandestine tactics employed by dark patterns and their implications for information security, while also delving into the ethical dimensions of their usage. Furthermore, the session will explore the transformative potential of artificial intelligence in detecting, mitigating, and preventing the proliferation of dark patterns. By convening experts and researchers from diverse disciplines, the session seeks to foster interdisciplinary dialogue and collaboration, driving forward innovative solutions to safeguard user trust and enhance digital security in an era dominated by artificial intelligence and dark patterns | |
| 11 | Artificial Intelligence and its applications in various industries | Artificial Intelligence (AI) is a technology which has its impact on almost all the industries. It is transforming the way in which the decisions are made across all applications; be it manufacturing, healthcare, finance, cyber security, agriculture, climate change etc. AI is driving innovation, and bringing in new opportunities for growth and efficiency. The objectives of this special session includes real world applications of AI in various industries, its impact on the working of these industries, challenges and opportunities and exploring the future trajectory of AI-driven innovation. | |
Click Here for Template of Special Session Request Form
The special session proposals must be sent to icidssd@jamiahamdard.ac.in.
For further queries visit http://www.jamiahamdard.ac.in/icidssd
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