Artificial Intelligence and Machine Learning

Chair : Dr. Birmohan Singh, Professor, CSE, Sant Longowal Institute of Engineering & Technology (SLIET), Longowal, Punjab, India

Clustering & Classification, Online learning, Reinforcement learning, Semi-supervised and Unsupervised learning, Time series analysis, Deep learning architectures, Generative models, Deep reinforcement learning, Learning Theory, Optimization Techniques, Nature inspired optimization techniques, Probabilistic Inference, Trustworthy Machine Learning, Applications of Machine Learning, Natural Language Processing, Computer Vision.

Block Chain, and Cyber Physical System

Chair : : Dr. Siti Nuurul Huda Mohammad Azmin, Faculty of Agro-Based Industry, Universiti Malaysia, Kelantan Jeli Campus, 17600 Jeli Kelantan

Co Chair : Dr. Kavita, Professor, SCSE, Galgotias University, Greater Noida, Uttar Prasdesh, India

Block Chain, Application of Block Chain, Cryptography, Water Marking, Privacy and Preservation, Information Security, Digital Services and Protection Mechanism, Cyber Security.

Computer Communication and Networking

Chair : Dr. Alok Katiyar, Professor, SCSE, Galgotias University, Greater Noida, Uttar Prasdesh, India

Mobile ad-hoc networks, Mobile Identity Management, Security access policies, Network security management, Privacy-respecting authentication issues, Sensor N/W, Data Communication, Wireless Sensor Network, Wireless Communication, Architectural Structure, Design Decisions and Philosophies, Autonomic Management of Ubiquitous Systems, Ubicomp Human-Computer Interaction for Devices, Ubiquitous Systems and Trust, Vehicular ad-hoc network, Flying ad-hoc network.

Data Science, Big Data and Data Mining

Chair : Dr. L. J. Muhammad, Professor, Federal University, Kashere, Gombe, Nigeria

Co Chair : Dr. Nitin Mishra, Professor, SCSE, Galgotias University, Greater Noida, Uttar Prasdesh, India

Big Data Analytics, Semantic web, Data warehousing and Mining, Object and multi agent system, Data mining, Database systems, Web search & Web Security, Search engines, Dataset Dynamics and Synchronization, Web-Based Health- and Bio- Information Systems, Nature-Inspired Models and Approaches for Web Intelligence, Content Management and Semantic Web, Web Mining, Business Analytics.

Software Reliability and Engineering    

Chair : Dr. Pankaj Kumar Keserwani, Computer Science and Engineering Department, National Institute of Technology Sikkim, India

Co Chair : Dr. P. Muthusamy, Professor, SCSE, Galgotias University, Greater Noida, Uttar Prasdesh, India

Component based and service-oriented software systems. Software engineering, reliability and testing, information retrieval & security, knowledge engineering & management, information, system modelling and simulation techniques.

Internet of Things (IOT) and Robotics        

Chair : Dr. Mohammad Tabrez Quasim, University of Bisha, Kingdom of Saudi Arabia

Co Chair: Dr. Raju Ranjan, Professor, SCSE, Galgotias University, Greater Noida, Uttar Prasdesh, India

Robotics and Automation Autonomous Agents, Engineering Applications on Robotics and Automation, Systems Mobile Robots and Intelligent Autonomous Systems Modelling, Simulation and Architecture Network Robotics Perception and Awareness Robot Design, Development and Control Space and Underwater Robots Surveillance, Fault Detection and Diagnosis Telerobotic and Teleoperation Vehicle Control Applications Virtual Environment, Virtual and Augmented Reality Vision, Human Computer Interface, Bio-Inspired Robotics, Cyborg, Digital Personality, Molecular Computing.

Sustainable and Renewable Energy       

Chair : Omar Saad Saleh, Studies, Planning and Follow-up Directorate, Ministry of Higher Education and Scientific Research, Baghdad, Iraq

Co Chair : Prof. Krishna Kant Agrawal,SCSE, Galgotias University, India

Renewable Energy, Green Design, Products and Manufacturing Processes, Emerging and Advanced Green Energy Technologies, Energy Efficient Designs and Standards, Supply and Technologies, Energy Management Systems, Green Technologies in Information, Green Energy in Transport, Sustainable Cities, Architecture and Green Buildings, Green Nanotechnology, Rural Development through Green Energy, Global Warming, Automation Applications in Environmental Technology, Waste Management and Waste Water Treatment, Low Carbon Economy and Society, Environmental Chemistry and Pollution Control, Solid Waste Valorisation, Resource and Environment Greenhouse Gas Mitigation and Climate Change, Computational Models for Sustainable Development, Biofuels / Biofuels Cells, Environmental Remote Sensing Applications, Environmental Process Simulation, Solar Energy and Photovoltaic Technology.

Distributed Computing                                  

Chair : Dr. Satish Kumar, University of Leeds, UK

Co Chair : Dr. Arvind Dagur, Professor, SCSE, Galgotias University, Greater Noida, Uttar Prasdesh, India

Distributed & Parallel Computing, High Performance Computing, Cloud Quality Management & Service level agreement, Cluster, Cloud, & Grid Computing, Mobile Computing, Edge Computing, Fog Computing, Cognitive Computing.

Signals and Systems, VLSI                                  

Chair : Dr. Manpreet Kaur, Professor, Electrical and Instrumentation Engineering, Sant Longowal Institute of Engineering & Technology (SLIET), Longowal, Punjab, India

Co Chair : Dr. Lokesh Varshney, Professor, Department of Electrical, Electronics and Communication Engineering, Galgotias University, Greater Noida, Uttar Prasdesh, India

Recognition and Reconstruction Nonlinear Signals and Systems Optimization Problems in Signal Processing Real-Time Systems Control Sensors Fusion Signal Reconstruction System Identification System Modelling Time-Frequency Analysis, Logic based planning, VLSI Designing & Modelling, Simulation & Automation, Process Monitoring, Reliability & Fault tolerance, Embedded Software and Hardware Architecture Techniques.

Trailblazing and Imminent Contrivances in Technology

Chair : Dr. Bhanu Sharma, Assistant Professor, ECE, Chitkara University, Punjab, India

Co Chair : Dr. Neha Tuli, Assistant Professor, CSE, Chitkara University, Punjab, India

Topics will be covered: Special Child Education, Augmented Reality/Virtual Reality, Artificial Intelligence & Machine Learning, Wireless Communication, Brain Computer interface, Automation and Robotics, Cyber Security Advances, 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, Augmented Reality and Health Care, Health Care during Covid-19

Artificial Intelligence, Knowledge Engineering and Ontology

Chair : Dr. Manish Khare, Assistant Professor, Dhirubhai Ambani Institute of Information and Communication Technology(DA-IICT), Gandhinagar, Gujarat, India

Co Chair : Dr. Runumi Devi, Associate Professor, SCSE, Galgotias University, Greater Noida, Uttar Pradesh, India

Artificial Intelligence (AI) deals with the computing technologies that simulate human intelligence by computer systems. The key to human intelligence is to represent the domain of interest and perform reasoning based on these representations. The central issues of the AI are, i) knowledge representation, ii) knowledge utilization and iii) knowledge acquisition. The knowledge representation refers to the technology used to formalize the domain of interest such as the same can be conveniently accessed for problem-solving. How the knowledge to be used for problem solving is dealt with in the knowledge utilization technology. Essentially, this technology pertains to the designing of the inference engine. Knowledge acquisition deals with the technology used for acquiring the knowledge that facilitates the computer to emulate the behavior and judgement capabilities of human through the transfer of human expertise to the symbolic data structure which constitute knowledge representation. Knowledge engineering in AI refers to the development of conceptual model emulating the behavior and judgement capabilities of human in the domain of interest. It involves not only large but also expandable knowledge base that is amalgamated with a rule engine specifying how to apply information in the knowledge base in particular situations.
On the other hand, ontology is a formal, explicit specification of shared conceptualization. It provides an abstract modelling of the domain vis-à-vis the identification of the relevant concepts of that domain. Concepts and their associated constraints are explicitly defined such that the modelled domain becomes machine readable. Hence, ontologies design has become a relevant research topic amongst the research communities of AI since the nineties.

Topics will be covered: Artificial Intelligence, Knowledge Representation, Ontology Design, Semantic Interoperability, Machine learning, Deep learning, Sentiment analysis, Applications of AI

Internet of things for smart cities: Interoperability and Bigdata

Chair : Dr. M. Nalini. Associate Professor, Sri Sairam Engineering College, Chennai, India

The creation of smart cities throughout the world using the Internet of Things (IoT) and big data analytics has made it a potential technology for tackling social issues. It's critical to offer compatibility across various devices as the IoT expands. However, the openness and interoperability of the present basic standard protocols is insufficient. To enable businesses and residents to create new products and services, IoT for smart cities must ensure the availability of open data and cloud services. Elements that combine smart city infrastructures must have plug-and-play, self-identification, interoperability, and device clustering features. Numerous subsystems that can link and make choices may be found inside the smart city. High levels of informational technology integration and extensive use of information resources are two of a smart city's key characteristics. Smart technology, smart industry, smart services, smart administration, and smart life should be the foundational pillars of urban growth for a smart city. In order to attain intelligent recognition, location, tracking, monitoring, and management, the Internet of Things entails installing sensors (RFID, IR, GPS, laser scanners, etc.) for everything and connecting them to the internet through particular protocols for information exchange and communications. Smart cities require the three characteristics of being instrumented, networked, and intelligent in order to function technically with IoT support..

Topics will be covered: Internet of Things for Smart Cities, IoT-based smart city development using big data analytical approach, Enabling reliable and secure IoT-based smart city applications, Efficient energy management for the internet of things in smart cities, Internet of Things Applications and challenges in smart cities, IoT-based smart waste management system in a smart city, IoT based smart parking monitoring and management, IoT based smart surveillance management, Smart IoT based disaster management system, AI powered smart cities services, IoT-based mobility tracking

Emerging Technologies and Applications in advanced Sectors

Chair : Dr. Srikanta Kumar Mohapatra. Associate Professor, Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India

In the current era, recent developments in the fields of intelligent computing using different emerging applications like AI, ML, DL, Blockchain, IoT, Cloud, etc and communication have paved the way for the handling of current and upcoming problems and brought about significant technological advancements. This special Session is aiming to gather information from scientists, engineers and researchers with interest in research and application in different emerging technologies like Machine Learning, Artificial Intelligence, BigData analytics etc. as well as different applications of IoT. Computational techniques are in booming era in different field like Agriculture, Industry or in Medicine. In each and every field now researchers are developing new technologies to get the optimal solution with different roadmaps. Also unmanned systems are amalgam of IoT and soft computing techniques. In this special session the focus of our group is especially on the proposed theme of Computational Techniques in different emerging fields

The current theme of this track is to take the submissions in the following areas but not limited to: Machine Learning and its applications in different sectors, Artificial Intelligence in Current Trades, BlockChain technology in general areas as well as in finance, Cloud and Mobile Communication, Big data implementation, Networking Management, IOT in emerging fields.

Artificial Intelligence for Healthcare 4.0                                    

Chair : Dr. N. Krishnaraj, VIT University, Vellore, Tamil Nadu, India

Artificial Intelligence plays an important role in health care industry. Healthcare 4.0 focus on integrating different types of data and provide a solution to the problems without any human interventions. The data generated from different devices like sensors, Scanner, X-Ray, and Clinical Notes. Now researcher focus on analyzing the different type generated from different sources. The integration of data from different source attracts the researcher to discuss about the issues in combining different data. Normal prediction system is not suitable for predicting the diseases. So researcher focus on identifying the solution to deal with multiple sources of data. In another side wearable devices play an important role in monitoring the patients’ health continuously. So the devices generate huge volume of data in every minute and store the data in cloud environment. Security is the main thread to store the medical records in cloud environment so most of the researcher focuses on developing security solutions using Block Chain Technologies and deep learning techniques can be used for analysis the data and intimate the patients about the health and ask the patients to take precaution measures. This Special Issue (SI) aims to bring together researchers from academic and industry to share their vision of AI application in Health care system, and present challenges and recent works and advances related to Al for Health Care 4.0

Topics of Interests : Deep learning for diseases prediction, Heart diseases prediction using Machine learning, Cancer Prediction using CNN, Epileptic Seizure Prediction, Responsible AI in Healthcare, Feature selection using Convolution neural networks , Machine Learning Approach for Medical Image Processing, Machine learning for Medical signal processing, Big data analytics approach in clinical Notes classification, Benefits of AI in Diseases prediction, Challenges in diseases prediction using ML, Cloud Storage solutions for storing medical record , Case study supporting the application of AI in boosting clinical trial, Deep learning techniques to improve drug design and site selection, Augmented reality Virtual reality to monitoring the patients, Federated Learning through wearable technologies .

Applications of Artificial Intelligence in IoT Security                                    

Chair 1 : Prof. Christo Ananth, Samarkand State University, Uzbekistan
Chair 2 : Prof. Akhatov Akmal Rustamovich, Samarkand State University, Uzbekistan

This session aims to target young researchers (TYR) to enhance the research in Applications of Artificial Intelligence in IoT Security to bring out the real life importance of Communication, Security and Artificial Intelligence to the society and the world. The TYR are Students in diverse countries, Practitioners, Professionals, Scientists, Industrialists, and Engineers – Researchers of various sectors. The session will give an appropriate solution for Applications of Artificial Intelligence (AAI) Experts to device monitoring, security, daily routine management, home automation which helps in taking real-life crucial decisions. The Internet-of-Things (IoT), a revolutionary technology embeds the internet into physical devices thus granting them capabilities of identification and utilization of whatever form of input/output they are designed to give or take. It also opens the window to cross globe connection. IoT, being an incredibly huge network of connected devices allows data to be easily shared and retrieved surpassing the boundaries of time, region, and space, gives rise to the concept of Pervasive Computing which integrates the features of the internet, digital, and communication sectors into one technology thereby enabling the machines to become truly independent. Through Systematic incorporation of Artificial Intelligence and Internet of Things in Real Life Sciences, even Walmart Is Using Artificial Intelligence and Internet of Things To Boost Retail Performance. This helps domain experts to learn practical studies and its challenges of unbiased and rigorous evidences in Artificial Intelligence and Internet of Things in Communication and Security.

The focus of session will be on computation techniques in science and engineering applications like :Interdisciplinary Approaches to Artificial Intelligence and Internet of Things Security, Opportunities for laboratory medicine and the value of positive regulation through AI and IoT, Implementation of New Ways of Artificial Intelligence in IoT Security, Artificial Intelligence and IoT based Legal Application: The State-of-the-Art and Future Research Trends, Artificial Intelligence and Internet of Things in the Automotive Industry, Conceptual model of business services availability vs. interoperability on collaborative AI-IoT-enabled e-business platforms, Artificial Intelligence and Internet of Things in Business: Research and Innovation to Market Deployment, Applications of AI and IoT in Smart Home Security, Intelligent Agents and Autonomous Robots in IoT Security, Turing AI-IoT Machines, Artificial Intelligence and Internet of Things based Google Duplex, Survey on AI-IOT Chatbot Design Techniques in Speech Conversation Systems, Augmented AI-IOT Reality in Medical Education and Training: From Physicians to Patients, AI-IOT Ethics: Science Fiction Meets Technological Reality, Smart AI-IOT technology for personal protective equipment and clothing, Clinical AI based decision support systems, methods and IoT Security

Innovative and Disruptive Technologies                                    

Chair 1 : Dr. Amanpreet Kaur, Research and Development, Chitkara University, Punjab, India
Chair 2 : Dr. Ramkumar Ketti Ramachandran, Chitkara University, Punjab, India

Augmented Reality (AR) is a technology wherein overlaying of virtual data on a real identified scene is done using computers. This provides the user an access to additional meaningful rich and relevant multimedia which is available immediately. Virtual reality (VR) refers to a computer-generated simulation in which a person can interact within an artificial three-dimensional environment using electronic devices, such as special goggles with a screen or gloves fitted with sensors. Nowadays AR/VR is widely used in entertainment, military training, engineering design, robotics, education, manufacturing and other industries. Arrival of Quantum computers can break any length of keys in realistic time complexities. Historically, it has taken two decades to deploy our modern public key cryptography infrastructure. We should begin to design the new feistel structures to be able to resist the attacks from quantum computers. The need of the new generation of quantum-safe cyber security algorithms is inevitable because the digital transactions are growing exponentially along with their own risks and attacks. On the other hand, the IoT , wireless sensor networks , Drone based delivery systems are the most promising futuristic technologies which can bring new challenges and opportunities with respect to data security. The hardware security algorithms based on Application Specific Integrated Circuits (ASIC) can protect all communications happening between any two devices of IoT related services. The zero trust architecture in Supervisory Control and Data Acquisition (SCADA ) is the best example of hardware security mechanism.

The focus of session will be on Applications of Augmented Reality (AR), Virtual Reality(VR) & Mixed Reality(MR) in Defense, Medical and Education sectors, Metaverse and its implications, Amalgamation of AR/VR/MR with AI and IoT for dynamic applications and Cyber Security: Post Quantum Cryptography & Hardware Security, Security Issues in AR/VR/MR applications.

Innovations in Communication Engineering & Thrust Technologies Recently

Chair : Dr. Shrddha Sagar, Galgotias University, Greater Noida, Uttar Pradesh, India

Co Chair : Dr. T.Ganesh Kumar, Galgotias University, Greater Noida, Uttar Pradesh, India

The focus of session will be on applications of Computational Intelligence, Neural Networks, RF, Antenna & Microwave, Robotics and Automation, Digital Signal Processing,Digital Image and Speech Processing, Soft Computing, Nature-inspired Optimization, Wireless Communication and Networking,Next Generation Intelligent Systems, Evolutionary Computation, Internet of Things, Smart Multimedia Systems, Trends in Machine intelligence,Security Issues in Smart Systems, Renewable Energy Resources, Modelling & Simulation, Sentimental Analysis

Smart Technologies Integrated Empowerment for Environmental Development And Sustainability

Chair : Dr. R. Sathiyaraj, Department of CSE, CMR University, Bangalore, Karnataka, India

Co Chair : Dr. G. S. Pradeep Ghantasala, Department of Computer Science and Engineering, Chitkara University, Punjab, India

The perception of environmental and sustainability aims to satisfy present-day needs for housing, working environments, and infrastructure without compromising the ability of future generations to meet their own needs in times to come. With the advent of the Internet of Things (IoT) and Big Data Analytics, there is a huge paradigm shift in how environmental data are used for sustainable cities and societies, especially by applying intelligent algorithms. Advanced technologies, such as artificial intelligence (AI), Deep Learning (DL), Machine Learning and Data Science, have contributed significantly to this widespread adoption. Big Data Analytics is a potential way for extracting reliable information from large raw sensor data in IoT applications, due to the fast development of AI technologies like deep learning. Moreover, because of its tamper-proof structure and its intelligence derived through data processing and analysis, in particular, opens up formerly unimagined possibilities for fresh waves of emergent applications is gaining traction in emerging IoT applications to address security, intelligence, and privacy concerns. AI and Big Data Analytics have emerged as game-changing technologies for accelerating the growth, impact, and potential of IoT ecosystems. This proposal invites unpublished articles from potential researchers for the below topics include, but are not limited.

Intelligent methods based on advanced technologies for smart environment, Smart Technologies and its applications in Environment sustainability, Efficient Smart algorithms (AI, DL, BDA, ML, IoT) for Environment development and sustainability, Smart Technologies and their long-term environment sustainability, Associations among both intelligence and the environment's long-term viability, Innovations and their implications towards smart applications, particularly in terms of environment, Extensive empirical research on the significance of smart technologies in sustainability, Case Studies – Smart Technologies for Environment Sustainability, Environmental enhancement as well as forecast or predict tools and strategies, Prediction based systems using advanced algorithms (AI, DL, BDA, ML, IoT), Smart applications for the betterment of humans and modernized globe, Performance assessment systems and the enhancement of machines to next level for better environment, Advanced solutions for smarter world using transfer learning/deep learning/machine learning.

Cyber Security and Its Applications                                    

Chair : Dr. Sonia, Shoolini University, Solan, Himachal Pradesh, India

Co Chair : Dr. Kushal Kanwar, Jaypee University of Information Technology, Solan, Himachal Pradesh, 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.

The focus of session will be on Cyber risk and security for financial institutions, Physical Security during architectureal 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, Political and policy perspectives, Strategy and international relations and privacy, Cyber security implications in banking and financial services sector, Cyber security in financial institutions and financial services, Financial Services risk in Cyber security , Applications such as Healthcare security, Data security, Privacy etc.

Fuzzy Intelligence in Optimization for Real-life Applications

Chair : Dr. Gaurav Dhiman, University Centre for Research and Development, Chandigarh University, India

Co Chair 1 : Dr. Shailendra Pratap Singh, SCSE, Galgotias University, Greater Noida, UP, India
Co Chair 2 : Dr. Amandeep Kaur, Department of Computer Science, Sri Guru Granth Sahib World University, India

Fuzzy intelligence and Meta-heuristics are used extensively in soft computing, statistics, applied mathematics, computer science, artificial intelligence, neural networks, engineering, medical sciences, and other fields. Because of their versatility and simplicity, these algorithms are becoming increasingly popular among scientists and academics. These meta-heuristics are examined in terms of essential characteristics such as adaptability, diversity, randomization, exploration, exploitation, attractions, and dissemination processes. The success and problems of these meta-heuristics are determined by parameter tweaking and parameter management. Swarm intelligence, biological systems, physical and chemical systems may all be used to power these nature-inspired optimization algorithms. The development of diverse infrastructural facilities in society has resulted from developing economies, aspirations for greater quality of life, and an increase in the rate of growth. This issue provides a genuine chance to explore new concerns, handle complicated challenges, and uncover sophisticated enabling solutions capable of shaping new trends in Computer Science, Engineering, Optimization, and Bio-Medical sciences for the overall growth of humankind. Hopefully, these conversations will spark a discussion about new possibilities and problems in the field, uniting efforts toward the creation of new tools, protocols, and databases for evaluating and monitoring progress in the field of interest. This session welcomes original and unpublished contributions on all aspects of nature-inspired optimization algorithms.

The focus of session will be on: Algorithms such as particle swarm optimization, spotted hyena optimizer, emperor penguin optimizer, seagull optimization algorithm, tunicate swarm algorithm, firefly algorithm, bat algorithm, flower algorithm, Chimp Optimizer etc. , Modeling and analysis of novel nature-inspired optimization algorithms, Hybrid schemes with other algorithms, Single, Many, Binary and Multi-objective optimization algorithms, Theoretical aspects of nature-inspired optimization algorithms, New benchmarks and performance measures to evaluate nature-inspired optimization algorithms, Applications to both constrained and unconstrained optimization, single-objective, multi-objective and many-objective optimization, static or dynamic problems, neuro – fuzzy models and applications and real-world optimization problems of different domains (bio–medical datasets, computer science, engineering, mechatronic, hybdraulic, industry and electronic).

Information Security, Image Processing, Computer Vision and Data Analysis

Chair : Dr. Urmila Pilania, Manav Rachna University, Faridabad, India

Co Chair 1 : : Dr. Dileep Kumar Yadav, SCSE, Galgotias University, Greater Noida, UP, India
Co Chair 2 : Dr. Namrata Yaduvanshi, University Institute of Technology, RGPV Bhopal, India

The pandemic period of COVID-19 further improved the requirement for online facilities for work, education, medical, business and even entertainment. As a result, every internet user has to deal with and secure users' information as well as their own resources. Image processing techniques also have a lot of applications in space sciences, medical, education, agriculture, biometrics, business, etc. Image processing techniques also have caught a special attention these days. Information security, image processing and computer vision, as a comparatively new field, has come a long way already but constantly emerging threats and issues require experts of information security to remain flexible, vigilant and have state-of-the-art technologies to offer protection in the today’s digital world. This session invites you to submit a broad range of contributions related to latest innovations of the field.

The focus of session will be on: Security and privacy innovation for IoT devices, Secure IoT devices for elder and differently abled , Security in Image processing and video processing based applications, Machine learning in information security, Interoperability and Integration of security techniques, Blockchain for securing online information, Smart security devices, Image processing and computer vision for space applications, Image processing and computer vision for medical images, Image representation and compression techniques, Image restoring and enhancement Data and Cloud security, Wireless and mobile security, Other related applications

Nature Inspired Optimization and Its Applications to Real World Problems

Chair : Dr. Vanita Garg,SBAS, Galgotias University, Greater Noida, India

Nature inspired optimization are a revolution for solving real life world problems. Real life application often occurs in a non-continuous, non-differentiable function which are not only impossible to solve by traditional methods, but also difficult for numerical method which needs extensive computing powers and are only problem specific. Nature inspired optimization has gained a lot of attention over the years as they are more robust and effective techniques which have ample applications for solving real life problems. These techniques are easy to apply and can be used in many areas of engineering, finance, medicine, manufacturing etc.

Since, these algorithms are open to modify. Some necessary changes or fine tuning of the parameters to these algorithms can be important for obtaining solutions to open end problems. Many such modifications and hybridizations are admissible for the nature inspired algorithms. This issue will provide the researchers and academicians an opportunity to present their new ideas and their effort in improving the already existing algorithms and their applications to various fields of real life problems. This session welcomes original and unpublished contributions on all aspects of nature-inspired optimization algorithms, including : Improvements in the existing nature inspired optimization algorithms, Defining a new nature inspired optimization, Hybridization of two or more nature inspired optimization algorithms, Benchmark testing of existing algorithms to IEEE CEC based on constrained and unconstrained optimization problems, Real life applications of mature inspired optimization algorithms.

Artificial Intelligence Applications in Data Security, Cyber Forensic and Forensic Science

Chair : Prof. Vinny Sharma, Galgotias University, Greater Noida, India

Co Chair 1 : Dr. Manjeet Kumar, Galgotias University, Greater Noida, UP, India
Co Chair 2 : Dr. Deepak Kumar, Sr. Cyber Intelligence & Digital Forensics Professional, India

The new era of crime has resulted in a steep rise in cyber-crimes. Today the need of securing the data is the primary demand of any individual/organization. Artificial intelligence has opened up new venues for not only securing the data available abut also providing a new line of investigation in the field of forensic sciences. Because of the versatility of artificial intelligence for various fields, it renders it increasing available for not only monitoring the crime rates but also predicting the same. The concept of employing artificial intelligence for the purposes of criminal investigations and intelligence gathering has also now picked up pace amongst scientists and academicians.

Digital and Cyber-crimes have gained momentum during the Covid pandemic rendering all to be its probable victims. Also the world is currently witnessing the rise of Cyber Terrorism. Crime has nowadays has entered the domain of cyber space making it a primary need for the investigators to look for new solutions which are not only speedy but also accurate. The success of the newly developed tools by making them more refined and accurate is the need of the hour.

This session provides a genuine chance to explore new concerns, handle complicated challenges, and uncover sophisticated enabling solutions capable of shaping new trends in Digital Forensics, Cyber Forensics and Forensic Science for the overall growth of humankind. Hopefully, these conversations will spark a discussion about new possibilities and problems in the field, uniting efforts toward the creation of new tools, protocols, and databases for evaluating and monitoring progress in the field of interest. This session welcomes original and unpublished contributions on all aspects of cyber forensic, data security and forensic science, including: Prediction Models for crime trends, New approaches for evidence collection for digital devices, Use of smart technology for forensic investigation, Hybrid schemes for data security, Cloud Forensic investigations, Data recovery from cloud, Cyber forensic investigation, Incident Response approaches, Digital Forensic investigation, Novel approaches for OCR, Usage of text mining, data mining for intelligence gathering, Data mining as a tool for crime predictions

Latest Technological Developments in Machine Intelligence in Healthcare and Wireless Communication

Chair 1: Dr. Kalpna Guleria, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India
Chair 2: Dr. Sushil Kumar, G. B. Pant DSEU Okhla I Campus, New Delhi, India

The latest development in the machine intelligence in healthcare and mobile communication has brought revolutionary changes in field of deep learning and communication technology. The session will help the researchers to provide a platform for the discussion about various important aspects of machine intelligence in healthcare, communication, Adhoc networking and wireless communication which include disease detection, energy aware load balancing, resource sharing and management, data aggregation , energy efficient sensor network deployment, enhanced routing techniques, intelligent computational and optimization techniques. The proposed session will emphasize on various concepts of machine Intelligence in healthcare, wireless communication technology, protocols, smart applications, research and design issues and future trends in this domain.

Topics to be discussed in this special session include (but are not limited to) the following: Machine Learning , Deep Learning for computational intelligence , Machine vision for Healthcare, Machine Intelligence in Network Communication, Wireless Sensor Networks Communication Protocols and Devices, Ad hoc Networks , Vehicular Ad hoc Networks and , Flying Ad hoc Networks, Resource scheduling and monitoring in Cloud Computing, Blockchain Technology for data safety and security in communication, Fault Tolerance , Network Reconfiguration in WSNs, UWSNs, Vehicular Ad hoc Networks and Flying Ad hoc Networks, Augmented Reality, Virtual Reality in Engineering and Education.