Special Sessions

Special Session 1: Emerging Trends and Innovations in Wireless communication and Networking

Session Chair(s)

Dr Rohit Anand

Assistant Professor
G. B. Pant Government Engineering College, New Delhi
Email: roh_anand@rediffmail.com

Dr Nidhi Sindhwani

Assistant Professor
Amity University, Noida
Email: manchandanidhi804@gmail.com

Mr. Digvijay Pandey

Department of Technical Education,
Dr. A P.J Abdul Kalam Technical University Lucknow, U.P, India
Email: digit11011989@gmail.com

Proposed Table of Contents but not Limited to

· Signal Processing for Future Wireless Communication

· Wireless Sensor and Mobile Computing based Healthcare System

· Antenna and RF devices for High-speed Wireless Communication system

· Next-Generation Applications of Wireless Networks

· Data Security and privacy in Wireless sensor Networks and optical networks

· Network Data management in smart cities

· Challenges in 5G and Beyond in Wireless Communication: Technical Perspective

· Wireless Technology in IoT design

· MIMO and Massive MIMO for wireless communication

· Emerging millimeter wave wireless communication systems.

· Role of Artificial Intelligence in 5G/6G

· R&D trends in wireless and optical technologies

· Machine learning approach to wireless and optical networks

· Hybrid optical/wireless networks.

About the Session

This special session is principally focused on recent advancements in the Internet of Things (IoT) in 5G Wireless Communication. During the past decade, the IoT has revolutionized ubiquitous computing with a multitude of applications built around various types of sensors. A vast amount of activity is seen in IoT-based product lines and this activity is expected to grow in years to come. With most of the issues at device and protocol levels solved during the past decade, there is now a growing trend in the integration of sensors and sensor-based systems with cyber physical systems and device-to-device (D2D) communications. 5th generation wireless systems (5G) are on the horizon and IoT is taking the centre stage as devices are expected to form a major portion of this 5G network paradigm. IoT technologies such as machine-to-machine communication complemented with intelligent data analytics are expected to drastically change the landscape of various industries. The purpose is to impart knowledge to the participants from diverse domains such as academia, industry and government about the recent advancements in IoT in context to 5G/6G Wireless Communication. The aim of this session is to explain how Machine Learning algorithms play a vital role in 5G networks. The 5G mobile networks are expected to provide ubiquitous, high data rates and seamless connectivity to mobile subscribers. In recent times, Machine Learning techniques have created a revolution in all the spheres of science and technology. Such an impact is possible as a result of advanced models, large datasets and high computational powers of the machines. As the number of mobile subscribers increases year after year, the 5G mobile networks need to handle the big data of the subscribers. Therefore, ML algorithms play a significant role in solving problems of 5G networks.

Node: Kindly mention the Special Session name in front page of your research paper.

Special Session 2: Frontiers in Data Science and Machine Learning

Session Chair(s)

Dr. Pinki Nayak

Assistant Professor

Dr. Bindu E

Assistant Professor
Amity University, Noida, India
Email: bindue25@gmail.com

Dr. Rashmi Vashisth

Assistant Professor
Amity University, Noida, India
Email: rashmiapj@gmail.com

Proposed Table of Contents but not Limited to

Big Data Applications

Data Engineering & Architecture

Data Analytics in Healthcare & Medicine

Business Intelligence

Social Computing

Data Visualization

Online Analytical Processing

Visual Analytics

Computer Vision

Data Security, Privacy and Blockchain

Cloud Computing & Virtualization

Deep Learning and its applications

Optimization Techniques

Soft Computing & Fuzzy Logic

Digital Image Processing

Data Heuristics

About the Session

Data is valuable, and so is the science in decoding it. There are vast amounts of data generated every day containing various types of data that need to be interpreted. This colossal data has evolved as a most challenging field of study and research area. It has drawn much attention during the last few years and large numbers of research and applications have been theoretically and empirically focused in order to gain a pattern of knowledge and understand the knowledge hidden behind the abundant enormous data This influences our modern society, business, government, health-care and research in almost every discipline. Existing approaches to data analysis mainly rely on traditional data mining techniques in which machine learning is explicitly expressed. This special session is integrating machine learning methods and data science to bring efficient data analysis services. Further, machine learning approaches had addressed various challenges of data science such as classification, clustering, prediction, anomaly detection, multivariate analysis, data streaming, and visualization of data. This special session aims to provide a leading opportunity to researchers, academicians, and professionals from different background areas to exchange the latest research ideas and research and development on data science, emerging technologies on machine learning ranging from overviews, proof-of-concepts case studies to applications.

Node: Kindly mention the Special Session name in front page of your research paper.

Special Session 3: Artificial Intelligence and Machine Learning in Cybersecurity and Smart Communication Techniques

Session Chair(s)

Dr. Pooja Singh

Assistant Professor
Amity University, Noida
Email: pooja17ps@gmail.com

Dr. Reshma V. K.

Assistant Professor
Jawaharlal College of Engineering and Technology, Palakkad, Kerala, India
Email: reshmainfo89@gmail.com

Dr Reecha Sharma

Assistant Professor
Punjabi University, Patiala.
Email: reecha@pbi.ac.in

Proposed Table of Contents but not Limited to

  • Network security

  • Internet of Things (IoT) Security

  • Blockchain Security

  • Artificial Intelligence enabled Cybersecurity

  • Cloud Security

  • Big Data Security

  • Drone Security

  • Advanced Intrusion detection system / Intrusion Prevention Systems

  • Cyber Physical Systems

  • Dark net and Deep web

  • Advanced Malware Analysis

About the Session

This session aims at bringing together scholars, scientists, industrialists, and academicians from across the globe on a common platform to present their original, unpublished high quality research paper and share their valuable research insights in the field of Cyber Security and Communication Networks.

Node: Kindly mention the Special Session name in front page of your research paper.

Special Session 4: An Intelligent Machine Analytics of Knowledge Based Systems, as a driving vision to futuristic hub.

Session Chair(s)

Dr. S. Mathivilasini

Assistant Professor
Ethiraj College For Women
Email: mathi_vilasini@yahoo.co.in

Dr. D. Sridevi

Assistant Professor
Ethiraj College For Women

Dr. K. Hema Shankari

Associate Professor
Women’s Christian College

Proposed Table of Contents but not Limited to

Advanced Intelligent Robotic Technologies for critical conditions in health care Systems

Real Time Working Model in Artificial Intelligence

The Role of Robotics in this Pandemic Era

Smart sensor robotics and Autonomy computational Intelligence in Machine Learning

Imaging and Geospatial in Artificial Intelligence.

Enhanced Learning Optical Imaging and sensing in virtual Systems

Business Intelligent System in mobile Communication Network.

Integrating Artificial Intelligence in Data Science

Deep Learning Approaches for diagnosis and Treatment in Artificial Intelligence

About the Session

This session focuses on current trends in Artificial Intelligence which is in general is the simulation of the processes of human intelligence by machines. These Intelligent Systems in AI Based applications help humankind in various walks that suit all environments. The purpose of Artificial Intelligence is to bring together researchers, engineers, and practitioners interested in the theory and applications in the areas of Agents and Artificial intelligence. This track focuses mainly on Artificial Intelligence, Knowledge Representation, Planning, Learning, Scheduling, Perception Reactive AI systems in Robotics and Evolutionary Computing topics related to Intelligent systems. The advanced optimization technique, in the approach to the AI applications like Robotics, Drone Technologies, Smart Homes, and Autonomous Vehicle makes AI a powerful research area.

Node: Kindly mention the Special Session name in front page of your research paper.

Special Session 6: Cyber Security with Internet of Things (Digitized India Innovation)

Session Chair(s)

Prof. (Dr.) Rajeev Kumar

Professor (CSE-APEX), Chandigarh University, Chandigarh, India

Contact No: +91-9897672215, 9897853888. Email ID: rajeev2009mca@gmail.com

Dr. Shikha Gupta (Session Chair)

Associate professor, Chandigarh university

Mr. Aman Kaushik (Session Chair)

Head of Department, Assistant professor, Chandigarh university

Mr. Gurjot Singh Sodhi (Session Chair)

Assistant Professor, AIT-CSE, Chandigarh University, Gharaun.

About the Session

The primary goal of the conference is to promote research and developmental activities in advanced Computing, e-Governance, Big Data, Image Processing, Cloud Computing, Security, IOT, Communication and Information Technology. Another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.

Proposed Table of Contents but not Limited to

  • E-Governance

  • Big Data

  • Internet and Cyber Security

  • Internet of Things

  • E-Governance Image Classification

  • Economic Surveys and Cost-benefit Analysis of e-Governance

  • Information Communication and Technology (ICT)

  • Cloud Computing

  • Image Processing

  • Wireless Sensor Networks

  • Machine learning

  • Data sciences

  • Sensor networks