MIDAS - 2021 is inviting eminent academicians, scientists, researchers, industrialists, technocrats, government representatives, social visionaries and experts from all strata of society to work together for more meaningful and professional outcome. The MIDAS team plans to hold special sessions on various areas of expertise, in any of the tracks based on related theme. These Special Sessions will be chaired by experts from different fields. The shortlisted papers will be accepted for presentation and publication in the Soft Copy of pre-Conference proceedings. Further, all presented papers will be submitted to Springer MIDAS-2021 publication.
Special Session MIDAS- 21/01
Title: Artificial Intelligence based Data Analytics for Business and
The main aim of this special session is to provide a platform for researchers involved in the field of Artificial intelligence, Big data analytics, machine learning, Deep learning, Business, Marketing and big data Analytics research and mutual exchange of their thoughts, skills and expertise. This session focusses on applications of artificial intelligence in data analytics for business and marketing. These days artificial intelligence plays important role in data science and data engineering. This session will be helpful for the researchers who are interested to work with data engineering in the field of business and marketing. The integration of artificial intelligence with business and marketing will be helpful in promoting the business automatically in very efficient and effectively manner. The industries people can get benefit from the integration of artificial Intelligence and business marketing for developing the business strategies for future business.
Dr. Kiran Chaudhary Shivaji College, University of Delhi
Dr.Mansaf Alam Big Data, Cloud Computing ad IoT, Laboratory, Department of Computer Science, Jamia Millia Islamia, New Delhi
Special Session MIDAS- 21/02
Title: Artificial Intelligence, Wireless Communication and Network Security
Nowadays, we all are surrounded with the products and services that have been powered by Artificial Intelligence (AI) and Wireless Communications. AI empowers the computers and machines with the ability to learn reason and make judgment. With the rapid advancement in the complex technologies, the demand of Artificial Intelligence is booming due to its potential to deal with convoluted problems using limited resources in time efficient manner. AI is facilitated to enhance technical competence and can strengthen the knowledge to be applied in new processes and applications in numerous domains. AI is extensively employed in business processes, industry, finance, healthcare, education etc. The adoption of automation commenced to rise in last decade only. The fundamental objective behind is to curtail manpower and time. The Power of Wireless Communication lies in the ability to deploy large number of tiny nodes that assemble and configure themselves to serve the purpose of Wireless Sensor Networks. Usage scenarios for these networks include real-time tacking, multimedia surveillance, military applications, environmental monitoring & agriculture, ubiquitous computing environments and many more. Firewalls have long been fixture at large companies, which must secure their networks against determined attackers. But the dangerous surge in e-mail and Web-borne threats-- including viruses, worms, hijacks, and increasingly aggressive spyware--means that home PCs require this protection as well. The merger of AI with Network Security mechanisms has yielded a variety of applications in fraud prevention, brand management, software development, human resource management, industrial automation etc.
Prof. (Dr.) Pankaj Bhambri, Guru Nanak Dev Engineering College, Ludhiana, Punjab, INDIA.
Prof. (Dr.) Sita Rani, Gulzar Group of Institutes, Khanna, Punjab, INDIA.
Special Session MIDAS- 21/03
Title: Artificial Intelligence and Scheduled outages in Service-oriented architecture
Scheduled outages are planned outages. They are required for regular maintenance of the technology infrastructure that supports the application and include tasks such as hardware maintenance, repair, and upgrades; software upgrades and patching; application changes and patching; and changes to improve performance and manageability of systems. Scheduled outages should be scheduled at times best suited for continual application availability. Also, loss of availability has great impact on fault tolerant solutions. It has direct relation with customer requirement validation. One has to carefully observe the possible loss of availability in a given system. In earlier systems, availability loss was mainly hardware loss but as the reliability and performance of hardware components are enhanced significantly, and software complexity increased, the probability of loss of availability of software components is increased. These loss of availability, of software components, can be categorized in two ways- schedule outage and un-schedule outage. The cycle time of software is an important factor and one has to update the software according to the changing requirements. Addition of newer features and omission of some outdated features become important in software life cycle. Omission of intended features may create some loss of availability and it may open newer possibilities of errors.
Swati Goel, SC&SS, JNU New Delhi, India
Special Session MIDAS- 21/04
Title: Emerging Intelligent Computing Techniques and their
Emerging technologies and Intelligent Computing Techniques are offering practical tools for many engineering applications. Computer learning, artificial intelligence and its learning, adaptation paradigms are able to improve engineering applications. The objective of this Special session is to explore Emerging Intelligent Computing Techniques and their applications. We hope to bring researchers and academics together to present their latest work on Emerging technologies, Intelligent Computing Techniques, Intelligent Communication Systems, Machine Learning for Data Science, Web Mining, Wireless Networks & IOT, Big Data Communication, Cloud communications and networking etc. In this thematic session, we solicit the submission of high-quality original research and articles closely related to the following topics, particularly interdisciplinary submissions that bring together next generation Intelligence of Things, Artificial intelligence, Smart information processing, IoT security, AI techniques and optimization algorithms and Privacy and trust researchers.
Dr. Nitish Pathak Associate Professor, Department of Information Technology, Bhagwan Parshuram Institute of Technology (BPIT), Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi, India
Dr. Adesh Kumar Pandey Professor and Head, Department of Information Technology, KIET Group of Institutions, Delhi-NCR, Ghaziabad.
Prof. Joel J. P. C. Rodrigues, Federal University of Piauí (UFPI), Brazil.
Ms. Neelam Sharma, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology (MAIT), GGSIPU, New Delhi.
Special Session MIDAS- 21/05
Title: A new Era of Green Smart Cities with Internet of Things (IoT)
A smart city is city with advanced electronic devices and sensors which provides efficient services and solve city problems. Most of the devices are enabled with Internet of Things (IoT). A green smart city is the future demands, and it can be made possible with the help of IoT by connecting the different real worlds things. Remote sensing and controlling the inter-connected objects of IoT made it easy to produce opportunities to integrate the physical world into automated systems resulting in improved efficiency, accuracy, and economic benefit. Already, over 17 billion ‘things’ (50%) like mobile phones and computers have been inter-connected meeting the estimations made by the experts by the end of 2021. IoT play a major role in the development of green smart cities by taking the data generated by the several apps like smart health applications, driverless cars, smart traffic, Industrial IoT 4.0 and IoT etc. Most of the city governments are using Machine Learning (ML) methods to help and provide their citizens better. The availability and quality of services like education, healthcare, drinking water and sanitation, transportation etc. need to be improved in the society. On the other hand, Information and Communication Technology (ICT) is largely an urban phenomenon. Most of the economic benefits of any country’s ICT surge (such as output and employment) have remained confined to the top tiers of its cities. The application of IoT can help in addressing the needs of green smart cities in several areas like education, healthcare, drinking water and sanitation, livelihoods etc. The special session aims to bring together the leading researchers and developers from academia, research centers and industry to present the current smart technologies and trends in Role of IoT in the development of Green Smart Cities.
Dr. Sunil Kumar Singh School of Computer science and engineering VIT-AP University Vijayawada, Andhra Pradesh
Dr. Bhaskar Mondal Assistant Professor Department of Computer Science and Engineering National Institute of Technology Patna
Special Session MIDAS- 21/06
Title: Industry 4.0 and Data Analytics
The advanced technologies that have evolved because of the fourth industrial revolution have severely disrupted industry and society by connecting processes and systems that were previously unconnected, creating new insights and innovation, and the rise of artificial intelligence. Due to the importance and centrality of data, the field of data science has rapidly evolved. Data scientists can now rely on machine learning models, computational algorithms and visualization to extract insights from massive data sets – to better understand what information previously disparate systems can offer them. This session focuses on the technical aspect of Industry 4.0 technologies and its impact related to multiple aspect of data.
Dr. Vinod Kumar Shukla Department of Engineering and Architecture, Amity University, Dubai, UAE
Dr Sonali Vyas Department of Computer Application, University of Petroleum and Energy Studies, Dehradun, India
Special Session MIDAS- 21/07
Title: Machine Learning on Edge for Smart Health
Now-a-days healthcare data is highly critical for patient’s care as well as for physicians. Healthcare data is generated in abundant manner with the passage of time. Machine learning, Deep Learning and Big Data are primarily changing the facts of data utilizations especially in clinical healthcare. Now a day’s various techniques, methodologies, algorithms, are proposed by researchers to organize data in a structured manner to assist the physicians in precision care of patients. Effective Health care data management is also the key tool towards the organizational goal achievement; needs to understand the importance, values and functions of health care data. Also the effective management of healthcare data not only focuses on ensuring that the patient receives the most appropriate, timely, and effective services possible, but also addresses the achievement of performance targets. Ultimately, the data management from all perspectives affect the organization’s overall performance and provides significant rewards and personal satisfaction for those who want to make a difference in the lives of others. This special session is entirely based on the current research trends on application of machine learning, deep learning pertaining to healthcare data analysis and its management.
Dr.Sachi Nandan Mohanty, India, Associate Professor Department of Computer Engineering, College of Engineering Pune, India
Dr. Suneeta Satpathy, India, Department of Computer Science, Sri Sri University, Cuttack, Odisha, India
Dr. Monika Mangla, India, Lokmanya Tilak College of Engineering (LTCoE), Koparkhairane, Navi Mumbai, Maharashtra, Department of Computer Engineering
Special Session MIDAS- 21/08
Title: Sensors, IoT and Block chain Technologies
In recent years, Internet of Things (IoT) has become the most prevailing and promising technology used worldwide. The logical setup of an IoT system and the importance of efficient communication within the network, request-response model, and various other communication models should be considered before designing any IoT network. The threats faced by various IoT systems and the need for threat detection mechanism have to be focused more on major communication, vulnerabilities and application layer protocols in IoT networks; threat mitigation mechanisms and how security services may get affected due to device limitation of devices should be concentrated along with the design. Ethereum’s Blockchain is a smart contract digital architecture, which can be developed, designed and integrated for any IoT applications such as solid waste management, agriculture sectors, industry, trade, etc., to replace log based paper contracts with crypto currencies. Blockchain-based model can be an instrumental technology in tracing the application from scratch to the product, which enhances the security, efficiency and transparency in the deployed IoT model. The integration of IoT with blockchain leads to a decentralized and scalable platform for any IoT application.
Dr. Padmapriya Praveenkumar, Senior Assistant Professor, Dept. of Elecronics and Communication Engg., SASTRA University,Thanjavur,India
Dr. R. Amirtharajan, SASTRA University,Thanjavur,India
Dr. J. Avila avila, SASTRA University,Thanjavur,India
Dr. J.Siva, SASTRA University,Thanjavur,India
Dr. K. Arockia Jayalatha , SASTRA University,Thanjavur,India
Special Session MIDAS- 21/09
Title: Contextual AI & Machine Learning Intelligence and its application
The prime aim of this special session is to provide a platform for researchers involved in the field of Contextual Artificial intelligence and machine learning analytics research to exchange thoughts, skills, and expertise. This session focuses on the applications of instituting context-driven intelligence in the domain of artificial intelligence and machine learning which is one of the new and trending sub-domain in AI & ML. This session would be helpful for the researchers interested in working with data engineering in the field of contextual Intelligence. This platform will enable the researchers to work on conditional probability distribution which is further decomposed into two parts: context-free and context-sensitive. The integration of context conditional probability to the machine learning model indeed opens the door for more intelligent, sustainable, and robust intelligence decision-making in a very efficient and effective manner. It benefits the industrial sector as well with this integration of artificial intelligence and business marketing for developing business strategies for future business.
1. Parminder Singh Sethi, Senior Software Engineer, Dell Technologies RnD Bangalore, India