2021 Sixth International Conference on Image Information Processing (ICIIP-2021) , 26 - 28 November, 2021
IEEE Conference Record Number #53038

2021 Sixth International Conference
Image Information Processing
(ICIIP -2021)
November    26 - 28, 2021
Jaypee University of Information Technology
Waknaghat, District Solan, Near Shimla, Himachal Pradesh, INDIA

Special Sessions


Special Session Chair(s): Dr. Shabir Ahmad Parah, Mr. Mamoon Rashid
Session Objective:
Health data and its security are of pivotal importance in the era of smart health. It generally differs from other data in terms of structure, context, importance, usage, and sources from which it is collected. Smart healthcare makes use of various implementation technologies like Networking, Signal Processing, Communication, Big Data Analytics, etc. Although various algorithms, techniques, methods, applications, etc., are continuously developed to be used for the acquisition, storage, processing, analysis, security, authentication, privacy, standardization, and optimization of every process in the health sector. However, the dynamic nature of world health (like the present pandemic of COVID-19) necessitates the development of more effective solutions. To be smarter, the need of the hour is twofold. One, to apply data analytics on voluminous health data and to apply insights to improve quality of care while reducing medical costs and promote a better living by improving the present healthcare. Secondly, given the number of data breaches that are taking place around the world, it is equally important to develop better schemes for providing security to the health data ensures privacy, and support proper content authentication.
The purpose of this special session at the ICIIP-2021 conference is to bring together researchers, academicians, and other stakeholders from various fields and disciplines and provide them an independent platform to exchange information on their researches, ideas, and findings of healthcare data and its analytics. It is also aimed to encourage ideas about the development of new security solutions for health data so that smart healthcare can complement conventional healthcare in a better way.

Topics and Areas of Interest (not limited up to following)
Health data and analysis, Issues with health data processing, Pervasive Healthcare Information Systems and Services, Protection and security of personal health data Electronic health records and standards, Personal Health records, Information Systems for smart healthcare, IoT applications for smart healthcare, Medical Imaging Systems, Medical Image Security and authentication, Health care solutions for specially-abled, Health Informatics and Process management, Decision Support System in healthcare, Smart health Applications, Authentication of healthcare data (e-health/m-health/telemedicine), Access control for smart health, Cryptography and lightweight-cryptography for smart health systems, Watermarking and steganography for health data, Secret sharing for EHR/PHR security, Security for e-health and m-health.

Dr. Shabir Ahmad Parah

Department of Electronics and IT,
University of Kashmir, Sinagar, India
Email: shabireltr@gmail.com, shabirparah@kashmiruniversity.ac.in

Mr. Mamoon Rashid
Department of Computer Engineering,
Vishwakarma University, Pune, India.
Email: mamoon873@gmail.com






Special Session Chair(s): Dr Laxmi Ahuja
Session Objective:
Technology is an ever-changing playing field and it is indeed important for organizations to remain be at the helm of innovation. All the organizations are embracing emerging technologies to remain competitive. To help meet the demands of a technology-enabled consumer base, businesses and solution providers are chasing Digitalization, thus it is a multiplying force in across the globe right now. As rightly said, "Journey to digitization has begun, it is a matter of accelerating the pace at which it is happening", by R. Chandrashekhar, former president of NASSCOM. Typically any business today has a high dependence on a robust, web enabled, and flexible information & communication infrastructure to nurture corporate agility and productivity. Digital platforms are providing tremendous opportunities to organizations to interact with all stakeholders be it the government, institutions or businesses. As digital technologies offer new ways to establish relationships, connect, collaborate, conduct business and build bridges between people it also touches the core of all business functions and even transforms the way in which organizations are managed.

Topics and Areas of Interest (not limited up to following)
Analytics, Artificial Intelligence, Blockchain Technology, Cloud Computing, Cyber Security and Cyber Warfare, Digital Entrepreneurs, Digital Marketing, E-Gov., E-Comm., E-learning, Information Security & Risk Management, IT Enabled Business Processes, IT Enabled Services, IT in Agriculture, Manufacturing & Service Sector, Knowledge Management, Mobile Computing & Networking, Online Social Networks, Project Management, Quality Management.

Contact: Contact:
Dr. Laxmi Ahuja
Amity University
Noida Sector-125, India
Email: laxmiahuja1908@gmail.com





Special Session Chair(s):Dr. Ashwani Kumar, Dr. S.Sai Satyanarayana Reddy
Session Objective:
Deep learning & machine learning will help people to manage the increasingly complex world we are forced to navigate. It will empower individuals to not be overwhelmed. AI minimizes human error in many contexts. AI is more than robot soldiers, autonomous cars or digital assistants with quirky personalities. One area in which artificial intelligence will become more sophisticated will be in its ability to enrich the quality of life so that the current age of workaholism will transition into a society where leisure, the arts, entertainment and culture are able to enhance the well-being of society in developed countries and solve issues of water production, food growth/distribution and basic health provision in developing countries. The use of AI & DL systems will continue to expand, with the greatest growth coming from systems that augment and complement human capabilities and decision-making. AI will enhance search to create interactive reasoning and analytical systems. Now a day's machine learning have been widely adopted and introduced in the areas of engineering, manufacturing, weather monitoring, and transportation.
The objective of this special session is to concentrate on all aspects and future research directions related to Deep learning neural networks applied to image processing and computer vision based methods. We encourage submissions proposing advanced and novel AI techniques which exploit machine learning and DL methods for a wide variety of MI applications.

Topics and Areas of Interest (not limited up to following)
ML & DL medical image processing, Segmentation, grouping and shape, representation, Deep learning and graph-based approaches, Video-based point cloud coding, Advanced algorithms of ML for biomedical data processing (e.g., deep learning, reinforcement learning and Statistical learning), Pattern Recognition: detection, classification, indexing, Training with new loss functions, Proposing new techniques for intra/inter prediction Rate distortion optimization and entropy coding.

Dr. Ashwani Kumar
Department of CSE,
Sreyas Instittute of Engineering and Technology, Telangana, India.
Email: ashwani.kumarcse@gmail.com

Dr. S.Sai Satyanarayana Reddy
Principal & Professor
Department of CSE,
Sreyas Instittute of Engineering and Technology, Telangana, India.
Email: saisn90@gmail.com




Special Session Chair(s): Dr. Devendra Kumar
Session Objective:
The Special session on Machine Learning, Deep Learning and IoT Applications aims to bring together researcher from both academia and industry to participate and present their work related to various aspects of Machine learning, Deep Learning and IoT Applications. There is a increasing number of internet-connected sensors all over the place which are integrated into diversity of mechanical, domestic and automobile devices i.e. trains, PDAs, Smart Phone, Cars, and even civil constructions. As a result, huge amount of data is being produced by the use of sensors and eventually there is a high need of understanding different patterns of such data. Abstraction of data and produce useful information is the biggest challenge that's starting to be met using the pattern-matching and comparing capabilities of Machine Learning and Deep Learning. Academic and Industry researchers are required to feed data of IoT sensors into machine-learning models. Further, the resulting information is used to perceive about how these sensors operate and how related products and services can be enhanced in terms of operations and customer experiences.

Topics and Areas of Interest (not limited up to following):
Algorithms and Systems for Big Data, Big Data Classification Techniques, Big Data Clustering Algorithms, Big Data Mining and Security Intelligence, Big Data Mining in the Cloud, Big Data Search Architectures, Big Data Search Scalability and Efficiency, Mining Big Data in Real Time, Mining Social-Network Graphs, Mobility and Big Data, Multimedia and Multi-Structured Data, Real-time machine learning, Automated video surveillance and tracking, Machine learning and/or Deep learning models tailored to sensor data, Data extraction from sensor networks, Application in various areas like e-health, smart city, intelligent transportation system, Feature based Engineering with a focus on sensor data features, Data/Information Security.


Dr. Devendra Kumar
Professor and Head
Dept.of Computer Applications
ABES Engineering College, Ghaziabad
Email: devendra.arya@gmail.com,





Special Session Chair(s): Dr. Prabhat Thakur, Dr. Tapan K Jain
Session Objective:
Society 5.0 is defined as a human-centered society that balances economic advancement with the resolution of social problems by a system that highly integrates cyberspace and physical space. The Internet of things (IoT) is a network of physical objects called as "things" which are assumed to be equipped with sensing and actuating technologies in addition to the software and abilities. The prime aim of IoT is to connect and exchange the data among the things, other devices and systems (such as cloud) over the internet. IoT has emerged as a potential technology which makes the term connected environments into reality. Artificial intelligence (AI) is very trending research area which is finding its applications in multiple areas such as engineering, management, business, agriculture and healthcare systems. The key idea behind the concept of artificial intelligence is to make the machine intelligent by mimicking the human intelligence via proper training and programing. The smart environments are in the prime focus of the researchers and industrialists for the ease of human life and to fulfil the demands of society 5.0. The prime demand of the smart environments is must be connected and must have intelligent behavior. Therefore, AI assisted IoT networks are appeared to be a very prominent technology for the Society 5.0.
The objective of this special session is to concentrate on all aspects and future research directions related to AI assisted IoT network frameworks, designs, mathematical models, simulation environments and various applications.

Topics and Areas of Interest (not limited up to following):
Society 5.0, Artificial Intelligence and IoT, Artificial Intelligence and Society 5.0, IoT and Society 5.0, Advanced Frameworks and Designs of AI assisted IoT, Security and Privacy perspective in AI assisted IoT, Applications of AI assisted IoT such as Smart Environments, Smart Healthcare, Smart Agriculture, Smart City, Smart Home, Intelligent Transport Systems etc., Smart Banking and Management.


Dr. Prabhat Thakur
Department of Electrical and Electronic Engineering Science,
University of Johannesburg, South Africa
Email: prabhatt@uj.ac.za, thakurprabhat2010@gmail.com

Dr. Tapan K Jain (Senior Member, IEEE)
Department of Electronics and Communication Engineering
Indian Institute of Information Technology
Nagpur, India
Email:tapan.jain@iiitn.ac.in, tapankumarjain@gmail.com




Special Session Chair(s): Dr. Punit Gupta
Session Objective:
With new generation of computing optimization algorithms are also changing with introduction of machine learning and deep learning mechanism. The new generation of algorithm comes with new promises of improvement in existing models. Cloud, IoT and Fog computing deals with many such optimization models which can improved with increase in performance of system. Many algorithms like task allocation, virtual machine scheduling, migration algorithm, power efficient systems, trust models and scaling algorithm are few oc the existing problem in cloud which come with great scope of improvement in system that can be achieved using algorithms inspired from nature and latest prediction algorithms. This special session aims to gather all such work and not limited to cloud or IoT. Any system whose performance can be improved using new generation algorithms.

Topics and Areas of Interest (not limited up to following):
Optimization algorithm, ML and AI based approaches, task scheduling, Resource allocation, Virtual machine migration, power efficient algorithms, trust and fault aware algorithms, security protocols for cloud. Resource scaling in cloud, bio-inspire algorithm for scheduling in cloud.


Dr. Punit Gupta
Dr. Punit Gupta
Department of Computer Science and Engineering
Manipal University Jaipur, Jaipur, India




Special Session Chair(s): Dr. Munish Kumar, Dr. Ravinder Kumar
Session Objective:
Research in the field of language and speech recognition is very challenging due to the complex structural properties of various scripts. This is even more challenging in Indic Scripts. The main aim of this special session is to provide a detailed study of various techniques for language and speech recognition. This special session will also cover hybridization of various feature extraction and classification techniques for language and speech recognition. To improve recognition results, different latest techniques, including, adaptive boosting, bootstrap aggregating and stacking will also be discussed in this special session. Participants in this special session shall be exposed to different research areas like document analysis & recognition, pattern recognition, machine learning, computer vision etc. This special session aims to provide a platform for researchers to present techniques for text recognition of Indic Scripts.
The session will be held on 28th Nov, 2021. We will invite researchers to submit their unpublished, high-quality and original research papers in various application areas of document image analysis and recognition. In addition to contributory research papers, we will also host invited talks.

Topics and Areas of Interest (not limited up to following):
Document Image Processing, Handwriting Analysis and Recognition, Natural Language Understanding and Generation, Emerging Machine Learning Techniques for Speech Recognition and Synthesis, Machine Translation and Computer-aided Translation Automated Text Categorization and Summarization, Knowledge Representation and Reasoning, Data Mining, Term extraction, and Semantic web, Automated Document Analysis and Recognition


Dr. Munish Kumar
Assistant Professor, Department of Computational Sciences,
Maharaja Ranjit Singh Punjab Technical University, Bathinda
Punjab, India
Email: munishcse@gmail.com

Dr. Ravinder Kumar
Associate Professor, Department of Computer Science and Engineering,
Thapar Institute of Engineering & Technology,
Patiala, Punjab, India




Special Session Chair(s): Dr. C. Karthik, Dr. Subrata Chowdhury
Session Objective:
This special session focuses on state-of-the-art approaches, applications and tools for visual servoing. The primary scope of this session is to deliberate the progress and challenges in the field of sensor-based robotic tasks. The basic visual servoing task is to guide the motion of a robot with respect to a target object based on the feedback obtained through a vision system. Amalgamation of path-planning techniques with reactive visual servoing strategies can robustify existing image-based tracking systems in robotics applications where a high disparity between the initial and desired views of a target is inevitable. The planning stage does so by accounting for critical constraints and uncertainties in the system resulting in a more robust visual servoing process. We discuss different planning approaches, explain the associated set of constraints and assumptions, and discuss the underlying path planning techniques along with the issues regarding their integration with reactive visual servo controllers. The aim of this session is to integrate various speculative and experiential impacts that characterize recent changes in technology and improve associations and collaborations among a range of disciplines. This session will certainly help the researchers to sightsee more into techniques and methods of Robotics and visual servoing.

Topics and Areas of Interest (not limited up to following):
Computer Vision, Face Recognition, Human Robot Interaction, Multi-Component Robotic, Systems, Task Learning for Robots, Visual Control, Visual Detection, Visual Learning in Robots, Pattern classification, Recognition: detection, classification, indexing, Training with new loss functions, modelling and control, A Modeling and Simulation Platform for Robot Kinematics Aiming Visual Servo Control, Sensor-based Robotic.


Dr. C. Karthik
Senior Member IEEE, Member ACM, Member (IEEE Robotics and Automation)
Postdoctoral Fellow, Shanghai Jiaotong University
Associate Professor
Jyothi Engineering College, Thrissur, Kerala, India
Email: karthikc@jecc.ac.in

Dr. Subrata Chowdhury
SVCET Engineering College
Andhra Pradesh, India




Special Session Chair(s): Dr. Rekha Vig, Dr. Shaveta Arora
Session Objective:
Images are one of the important data sources of human communication. Due to increase in the image data and rapid development in the field of computational power, the demand for intelligent imaging technologies is increasing day by day. Intelligent imaging systems includes those problem domains, for which effective algorithms cannot be formulated but require artificial intelligence to solve them. It carries out automatic processing, manipulation and interpretation of visual information, and plays an important role in real world applications such as television, photography, robotics, medical diagnosis, industrial inspection and many more. Researchers are invited to submit outstanding and original unpublished research manuscripts focused on the latest achievements in Image processing and its applications. This special session aims at bringing together leading academicians, scientists, engineers, researchers and students to exchange and exhibit their contributions in this area which use intelligent techniques.

Topics and Areas of Interest (not limited up to following):
Image Compression, Image De-noising, Face Recognition, Image Retrieval, Image Enhancement, Image Segmentation, Edge detection, Object detection and classification, Handwritten digit recognition and detection, Biomedical image processing, Typical pattern recognition tasks such as classification and regression, Image classification, Machine learning, Deep learning, Fuzzy logic Evolutionary computing, Swarm intelligence, Neural networks, Feature extraction, Biometrics, Document analysis, Computer vision.


Prof. (Dr.) Rekha Vig,
Professor, Department of CSE,
The NorthCap University, Gurugram, India
Email: rekhavig@ncuindia.edu

Dr. Shaveta Arora,
Assistant Professor, Department of CSE,
The NorthCap University, Gurugram, India




Special Session Chair(s): Dr. Bhanu Sharma, Dr. Neha Tuli
Session Objective:
"Disruptive Technologies" is a multidisciplinary and emerging research field. Disruptive system is a form of technology that disrupts a services sector, education or industry's normal operations. It supplants an existing product or services, resulting in the creation of new areas for inventions in these sectors. These technologies affect every sector and gives new paradigms in the world of technology. During COVID period these technologies plays important role in every sector.

Topics and Areas of Interest (not limited up to following):
Augmented Reality/Virtual Reality, Image Processing, Internet of Things, Artificial Intelligence & Machine Learning, Brain Computer interface, Automation and Robotics, Sensors Technology in Healthcare, Edge computing, Digital Image Processing, The Work-From-Home Revolution, E-learning, Library Automation-Issues and Challenges, Paradigms in E-Learning during COVID-19, Neural Network, Cognitive Science/Neuroscience, IoT and Health Care, Health Care during Covid-19, Special Child Education.


Dr. Bhanu Sharma,
Assistant professor, Department of CSE,
Chitkara University, Rajpura, Punjab, India
Email: bhanu.sharma@chitkara.edu.in

Dr. Neha Tuli,
Assistant professor, Department of CSE,
Chitkara University, Rajpura, Punjab, India