AI is a technology that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making. It has immense potential in cybersecurity. If harnessed correctly, Artificial Intelligence or AI systems can be trained to generate alerts for threats, identify new types of malware and protect sensitive data for organisations. The special conference on “Artificial Intelligence: Applications and Innovations in Cyber Security“ will provide an excellent international forum for sharing knowledge and results in latest innovations in the field of Artificial Intelligence. Combining the strength of Artificial Intelligence (AI) with cybersecurity, security professionals have additional resources to defend vulnerable networks and data from cyber attackers. The objective of the special conference is to provide a platform to the researchers and practitioners from both academia as well as industry to explore the future research opportunities and solutions in Cyber Security using AI.
Topics of Interest:
We invite original (un-published) research contributions based on theabove mentioned theme including following topics:
- AI for detecting Cyber–Security Threats/Attacks
- Cyber Security using Artificial Intelligence for Cyber-Physical Systems
- Advanced AI-based Security Applications for IoT networks
- Role of AI and Cyber–Security for Smart City
- Advanced AI-Based Security Solutions in Cloud.
- Privacy Preservation using Deep Learning.
Details of Session Chair and Co-Chair:
Prof. Sandeep Saxena is working as a Professor in Galgotias College of Engineering & Technology, Greater Noida. He has completed his B.Tech from U.P.T.U Lucknow, MS in Information Security from IIIT Allahabad and Ph.D from NIT Durgapur. He has done 13 years of excellent work in Academic in various well known institutes. He is part of various National/International professional societies CSI (Life Member), CRSI (Life Member), IAASSE (Senior Member) and IEEE (Senior Member). His areas of interest are Computer Network, Cloud Computing security, Blockchain Security, Information Security, Biometrics and Cyber Laws. He had part of various conferences as Organizing Secretary, Organizing Chair, Session chair etc.
Dr. Kanchan Hans is currently working as Associate Professor at Galgotias College of Engineering and Technology, Greater Noida. She has 17 years of teaching experience in reputed colleges and universities. She has pursued her Ph.D. from Amity University, Noida. She is the member of various professional organizations like IEEE, CSI, Soft Computing Research Society (SRCS), International Association of Engineers (IAENG), and CSTA, New York. She has been part of various International Conferences as member of Organizing Committee, Session Chair etc. Her areas of interest include Artificial Intelligence, Machine Learning, Data Analytics, Soft Computing, Expert Systems, and Cyber Security.
Prof. (Dr.) Akash Saxena received his Ph.D. degree in Computer Science from the Maharaja Ganga Singh University, Bikaner, Rajasthan in 2013. Currently, Dr. Akash Saxena is working as a. Professor and Head of Department of Computer Science and Information Technology, at Compucom Institute of Information Technology & Management, Jaipur (RAJ) since 2015 to till date. He is also awarded from the various organizations in contribution of Education field. His Research area interested includes Data Mining, Network Security, E- Commerce, , operating system , cloud computing etc. He is having more than 60 papers/articles in International Journals, 29 papers in International Conferences, 21 papers in National Conferences, and 10 Book are written in the field of computer Science.
Description & Covered Topics:
Industry 4.0 disruptions are affecting every walk of human life. There are a lot of emerging applications of data driven technologies in healthcare and social innovation. The session invites high quality original contributions for possible presentation and publication. Some of the topics suitable for the session are listed as follows:
Analysis and management of healthcare and social data
Deep learning approaches for healthcare and social informatics
Blockchain in healthcare, e-governance, and Panchayati Raj
Internet of Medical Things (IoMT)
Real time healthcare & social applications
Identification of communicable and non-communicable diseases using machine learning
Remote health monitoring
Mental health and well-being
Various privacy and security issues relevant to healthcare & social data
Sustainable computing for achieving UN-SDGs
Data driven and smart applications in Water & Sanitation, Housing & Habitat, Design Thinking, Frugal Innovation, Rural Development, Agriculture, Gender Equality, Sustainable Livelihood etc.
Details of Session Chair and Co-Chair:
1. Neetesh Saxena, Assistant Professor, Cardiff University, Wales, United Kingdom
2. Chandra Mani Sharma, DRF, Indian Institute of Technology Delhi, India
3. Saurabh Saxena, Assistant Professor, Institute of Technology & Science, Ghaziabad, India
Aims & Scope (Theme of Session):
Biomedical engineering is a dynamic area of research involving biomedical information and clinical medicine. With the impetus in sensor technology and artificial intelligence (AI), this field of specialization has gained momentum. Techniques based on AI have resulted in high accuracies for a number of problems in this domain and the potential is increasing day-by-day. It can help the physicians in improving the time efficiency of the diagnosis and can also highlight the relevant information present in the biomedical signal and/or image. The popular biomedical signals are essentially of two types, known as action potential and event-related potential. The former class consists of electromyogram (EMG), electroneurogram (ENG), electrocardiogram (ECG) and electroencephalogram (EEG), whereas electrogastrogram (EGG), phonocardiogram (PCG), carotid pulse (CP), signals from catheter-tip sensors, speech signal, vibromyogram (VMG), vibroarthrogram (VAG), otoacoustic emission signal are event-related potentials. The commonly used biomedical image modalities include functional magnetic resonance imaging (fMRI), computed tomography (CT), x-ray, ultrasound imaging and positron emission tomography (PET).
This session aims to provide an inter-disciplinary international forum for the interchange of information on research in the analysis of biomedical signals and images using AI-based methods.
Subtopics:
Topics of interest include, but are not limited to the following:
- Analysis and processing of biomedical signals using machine learning techniques
- Artificial Intelligence in automated disease detection from biomedical images
- Computational Neuroscience
- Next generation Human-Machine Interfaces using Artificial Intelligence
- Identification of abnormalities from biomedical signals using deep learning methods
- Novel feature extraction techniques for biomedical images using deep learning methods
- Hand-held devices or mobile applications for patient health monitoring
- Artificial Intelligence based schemes in pathology labs for assisted diagnosis
Details of Session Chair and Co-Chair:
Dr. Pushpendra Singh, Assistant Professor, NIT Hamirpur, Hamirpur (HP) India
Dr. Amit Singhal, Assistant Professor, NSUT Delhi, New Delhi India
Dr. Binish Fatimah, Associate Professor, CMR Institute of Technology, Bengaluru, India
Special Session Technical Programme Committee(s):
- Dr. S. D. Joshi, Professor, IIT Delhi
- Dr. Brejesh Lall, Professor, IIT Delhi
- Dr. Anubha Gupta, Professor, IIIT Delhi
- Dr. Abhinav Kumar, Associate Professor, IIT Hyderabad
- Dr. Navin Kumar, Associate Professor, Amrita School of Engineering
- Dr. Megha Agarwal, Associate Professor, JIIT Noida
- Dr. Kapil Dev Tyagi, Associate Professor, JIIT Noida
- Dr. Manoj Sharma, Assistant Professor, Bennett University, Greater Noida
Aims & Scope (Theme of Session):
In recent years, the high availability of data, expansion in computational and storage capacities, and rapid advancement of Artificial Intelligence (AI) techniques have had a huge impact in many industries. Ranging from education, insurance, and financial services to healthcare, communication, industries are finding benefits from predictive analytics for better decision making. Predictive analytics helps in increasing revenue via reducing risks and optimising operations. However, many challenges remain due to the domain specific and data challenges of volume, variety, velocity, veracity, and value that are limiting their wide scale adoption.
The special session on Artificial Intelligence for Predictive Analytics and Better Decision-Making in next generation computational systems invites contributions that address these challenges and/or showcase the latest real-world applications and enable algorithmic advancements in Artificial Intelligence for prediction.
Subtopics:
Some topics relevant to this session include, but are not limited to:
- AI driven time series modelling and forecasting
- AI driven temporal data analysis, prediction, and forecasting
- Transfer learning for time series forecasting
- Transformer architectures for time series forecasting
- Neural network architectures for time series forecasting
- Deep neural networks for time series modelling
- Deep learning-based outcome prediction
- GANs for time series analysis
- Advanced Predictive analytics algorithms
Details of Session Chair and Co-Chair:
Dr. Hardeo Kumar Thakur, Associate Professor, Computer Science and Technology, Manav Rachna University, Faridabad (INDIA), hardeokumar@gmail.com, hkthakur@mru.edu.in , + 91 9560794409
Dr. Deepak Kumar Sharma, Associate Professor, Department of Information Technology, Indira Gandhi Delhi Technical University for Women, Delhi, India, deepaksharma@igdtuw.ac.in
Aims & Scope (Theme of Session):
Internet of things (IoT) enabled with AI provides many business solutions with advanced features in medical, logistics, transportation, energy and in integration of smart homes by getting huge amount of data from multiple sources. Realizing the future and full potential of IoT devices requires investment in new technologies. The convergence of AI (artificial intelligence), IoT and could computing redefine the way industries, commerce and economics behave. The aim of the special conference is to connect researchers and practitioners to explore the future research opportunities and solutions in cloud based AI enabled IoT technologies.
Sub Topics:
Following is the list of sub topics suitable for this special conference:
- Intelligent transportation control system based on cloud computing
- Image and signal processing for IoT
- Cloud security, performance, scalability, and reliability
- IoT applications in medical, logistics, transportation, energy
- AI in IOT based Solutions
- Cloud based IOT devices with applications in healthcare and integration of smart homes
- Data protection and privacy using artificial intelligence technologies like machine learning and deep learning
- Cloud based cyber security techniques through the application of AI
- Application of computer vision techniques for cyber security
Details of Session Chair and Co-Chair:
Dr. Sanjeev Kumar Singh, Professor, Galgotia college of Engineering, Greater Noida, UP (INDIA)
Dr. Pushpendra Singh, Associate Professor, Raj Kumar Goel Institute of Technology, Ghaziabad, UP (INDIA)
Dr. Amrit Kumar Agrawal, Associate Professor, Galgotia College of Engineering and Technology, Greater Noida, UP (INDIA)
Aims & Scope (Theme of Session):
Data analytics is a broad term that encompasses many diverse types of data analysis. Any type of information can be subjected to data analytics techniques to get insight that can be used to improve things. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system. Another emerging research area is Internet of Things (IoT).
Sub Topics:
Topics of Interest: We invite original (un-published) research contributions based on the above-mentioned theme including following topics but not limited to:
- IoT Applications and Services
- AI and Big data applications for Smart Cities
- Data Analytics: Tools and Techniques.
- Streaming Algorithms for Social Media data
- Data Mining and Machine Learning in Social Media
- Data and Social Paradigms
- Data Modeling & IoT in Healthcare Sector
Details of Session Chair and Co-Chair:
Dr. Sandeep Mathur, Associate Professor & HOD, GL Bajaj Institute of Management, Gr. Noida, UP (INDIA)
Prof (Dr) Girish Kumar SharmaProfessor, BPIBS, Delhi
Mr. Ashutosh PandeyPSTI, Kanpur
Mr. Rajesh KumarATPC, Amity University
Puneet ThaparLPU, Jalander
Baljinder Kaur,LPU, Jalander
Ankita WadhawanLPU, Jalander
Neha VermaKRMDAV college
Aims & Scope (Theme of Session):
Healthcare is the field that prevents diseases and helps to improve the quality of life, but it faces uncertainties in day-to-day life. Some significant challenges for healthcare are rural population, shortage of medical personnel, lack of resources, Data management, expensive health care services, and too much patient load in hospitals. There is no doubt that IoT helping the people in health care sector to interact and to provide the solutions for uncertainties. The ultimate objective of introduction.
Aims & Scope (Theme of Session):
The conference covers a diverse set of research in cross-disciplinary themes and its applications ranges from computer vision, image processing, artificial intelligence, machine learning to cloud computing, IoT, and Big Data. The text provides an in-depth, multidisciplinary discussion of recent advancements and state-of-the-art methods in spectrum of disciplines. The publication is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in these fields. It also features explanatory, illustration of Algorithms, architecture, applications, software systems and data analytics in the scope of specified domain.
Sub Topics:
Following is the list of sub topics suitable for this special conference:
- Cloud security, performance, scalability, and reliability.
- Data protection and privacy using block chain technology.
- Artificial intelligence technologies like machine learning in Health care.
- Application of computer vision techniques for cyber security.
Details of Session Chair and Co-Chair:
Dr. Pankaj Kumar Sharma, Professor and Head Department of Computer Science, ABES Engineering College, Ghaziabad
Dr. Mahesh Kumar Singh, , Associate Professor, Department of Computer Science, ABES Engineering College, Ghaziabad.
Dr. Manu Singh, Associate Professor, Department of Computer Science, ABES Engineering College, Ghaziabad.
Ms. Sonia Verma, Assistant Professor, Department of Computer Science, ABES Engineering College, Ghaziabad.