Special Session

Session Title – Emerging Intelligent Computing Techniques and their Applications

Dr. Nitish Pathak
M.Tech. (CSE), Ph.D. (CSE),
Associate Professor, College of Engineering and Technology,
Bhagwan Parshuram Institute of Technology (BPIT),
Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi, India

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.

We seek original and high-quality submissions on, but not limited to, one or more of the following topics:

  • Emerging Technologies and their Applications.
  • Intelligent Computing Systems and their Applications.
  • Wireless sensor networks.
Session Title -Artificial Intelligence Techniques for Advanced Computing Applications

Dr. Subrata Chowdhury
SVCET Engineering College,
R.V.S. Nagar, Tirupati Road, Chittoor (Andhra Pradesh).

Dr Tushar H Jaware
Assistant Professor,
R C Patel Institute of Technology,
Shirpur (Maharashtra)

Artificial Intelligence has grown to be very popular in today’s world. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. These machines are able to learn with experience and perform human-like tasks. As technologies such as AI continue to grow, they will have a great impact on our quality of life. AI is used in different domains to give insights into user behaviour and give recommendations based on the data. AI is used everywhere by large organisations to make an end user’s life simpler. Artificial Intelligence has various applications in today’s society. It is becoming essential for today’s time because it can solve complex problems in an efficient way in multiple industries, such as Healthcare, entertainment, finance, education, etc. AI is making our daily life more comfortable and fast.

This special session invites research papers based on AI in various domains used for computing purposes. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in healthcare, networking, IoT and bioinformatics.

Session Title -Leveraging Multimodal Information in Data Science

Dr. Rituraj Soni
Assistant Professor,
Engineering College Bikaner,
Bikaner, Rajasthan

Dr Tanvi Arora
Associate Professor,
CGC College of Engineering,
Landran, Mohali, Punjab

With the rapid digitization, a large amount of digital data is available these days. Different modalities are being used to generate the digital data that can be used for the purpose of data analysis. Recent advancements in the field of multimodal computing for data analysis and prediction provides a promising field. Therefore, how to perform efficient multimodal computing to improve the user experience, data analysis and prediction accuracy is undoubtedly one of the most important scientific topics of data science.

Considering the underexplored techniques on reliable multimodal computing techniques for data science, this special issue is organized to provide a platform for scholars from academia and industry to disseminate their state-of-the-art theories and techniques in the multi-modal computing field. We invite researchers from academic fields and industries to submit their high-quality original articles, to promote the research and application of multi-modal computing in data science.
This special session aims to collect high quality, original, unpublished research papers in the broad area of Innovations in Multimodal Computing in Data Science. Thus, presenting a platform to bring together researchers, practitioners, developers, environmentalists and users who explore new ideas, techniques, and tools, as well as to exchange their experiences.

Recommended Topics

Topics to be discussed in this special issue include (but are not limited to) the following:

  • Data Extraction using Multimodal computing techniques from Digital Images.
  • Data Analysis & Pattern Recognition using Multimodal Computing techniques.
  • Securing Digital Information using Multimodal Computing Techniques.
  • Knowledge Extraction using Multimodal Computing Techniques.
  • Information Processing using Multimodal Computing Techniques.
  • Multimedia recommendation systems
  • Human-computer interactions, visualization, and navigation
  • Vision and language; audio/visual processing
  • Green computing; resource-efficient multimedia and big data computing
Session Title -Role of Computational Intelligence in Industry 4.0

Dr. Hardeo Kumar Thakur
Associate Professor,
Department of Computer Science & Technology,
Manav Rachna University, Faridabad, India

Mohammad Khalid Imam Rahmani
Department of Computer Science,
College of Computing and Informatics,
Saudi Electronic University,
Al Madinah Manawwarah, Saudi Arabia

he fourth industrial revolution (Industry 4.0) aims to leverage the latest technological advancements including Internet of Things (IoT), Internet of Services, Cyber physical systems and Smart factories. The essential components of Industry 4.0 comprised of advanced algorithms, augmented reality, smart sensors, data visualization, Cloud computing, Mobile Devices, Big data analytics, data science, etc.
Industry 4.0 has several benefits like faster responses, increased volumes of production, improved product quality, etc. In fact, it enables industries to connect people, objects, machines and communication systems through information flow, to actively manage the entire complex manufacturing systems. However, the rapid advancement in technologies has made the systems more complex and led to many other challenges such as integrity, availability, reliability, information security and many more. These are the major research challenges that need to be addressed with the use of computational intelligence approaches for the success of Industry 4.0.
Therefore, this special issue aims to offer a platform for researchers to showcase their original and unpublished quality findings to overcome the key challenges of Industry 4.0 applying computational intelligence approaches.
The scope of this special issue is (but not limited to) as follows:

Topics to be discussed in this special issue include (but are not limited to) the following:

  • Computational Intelligence approaches for Social Network analysis
  • Computational Intelligence approaches for Cybersecurity.
  • Computational Intelligence approaches for Smart Industry.
  • Computational Intelligence approaches for Internet of Things (IoT).
  • Computational Intelligence approaches for Cyber physical systems.
  • Computational Intelligence approaches for Digitalization of Supply chain.
  • Computational Intelligence approaches for Cloud computing / Big data Analytics.
  • Computational Intelligence approaches for Green Computing / Energy Optimization.
Session Title -Information Technology, Digitalization & Business Management

Dr. Arvind Kumar Bhatt
GL Bajaj Institute of Management & Research,
Greater Noida, India

Dr Anand Rai
GL Bajaj Institute of Management & Research,
Greater Noida, India

Technology advancements provide opportunities to utilize the technology in many businesses. Digitalization of business model created opportunities for new age entrepreneurs. Business transformation through the internet opened e-commerce and marketing innovations. This also changed global marketing strategies as well as discovery of new application areas. Now, the Internet of Things devices (IoT) gives us information collected from billions of devices, the cloud lets us store, process and forward this and AI gives us tools to analyses information, predict and make smart decisions. Utilizing these numerous technologies entrepreneurs can build products that enable the market, finance, HR, operational areas; these advanced solutions for health systems, transportation, education, manufacturing, agriculture, and many other areas.

Recommended Topics
Topics to be discussed in this special session include (but are not limited to) the following:

  • Digital ecosystem and Entrepreneurship.
  • Block Chain potential applications & disruption.
  • Innovation, Technology and Creativity in Education.
  • Business Model Innovation with Emerging Technologies.
  • Technology Advancements in Supply chain management.
  • Technology Advancements in Business processes and Its impact.
  • New Prospects using Technology in Health, Agriculture, Logistics, and Marketing.
  • Managing Globalization Challenges during COVID-19 times through technology.
Session Title -Cyber Security and Privacy Aspects in Business

Dr. Monika Arora
Associate Professor,
Apeejay School of Management,
Dwarka New Delhi.

Dr. Sonia
Assistant Professor,
Shoolini University,
Solan, H.P., India

The main aim of this special session is to give a platform to imminent researchers working in the area of Cyber Security. Cybersecurity and privacy in business is one of the emerged areas for research and development. There are many smart technological developments that happened in past. Many application areas that are studied are Machine learning, Artificial Intelligence, Recommender system, Internet of things etc. This issue aimed for professionals who are interested in developments in cybersecurity, data security, technology etc. and implementation in Business. Cyber security has unlimited capabilities in terms of privacy and security. Security can be incorporated anywhere whether it is a software or a hardware application. For securing a business this can be incorporated by using various technology such as Artificial Intelligence, Machine Learning, Internet of Things, recommender Systems, Deep Learning etc. The cyber security can be applied in business applications such as Healthcare systems, Hospitality, Insurance policy, ecommerce website etc. Recently, we are witnessing an increasing trend in cybersecurity in businesses in implementation of block chain etc.

Recommended Topics
We invite original (un-published) research contributions based on the above-mentioned theme including following topics but not limited to:

  • Cyber risk & security for financial institutions.
  • Physical Security during architectural development.
  • Cyber security in anthropological and cultural studies.
  • Computer science and security and crime science.
  • Cryptography and security economics.
  • Blockchain and cybersecurity.
  • Machine learning and AI in cyber security.
  • Big data security and privacy.
  • Legal aspects of information security.

A draft of the CFP (please download and use the template at the link below);

Click here to download

Please mail on “aictc2021@gmail.com”.