IC2SDT 2024 (International Conference on Pioneering Developments in Computer Science & Digital Technologies) is an academic conference held in Delhi, India on 2024-04-26. The paper submission deadline is 2024-02-20. Acceptance notifications are sent on 2024-03-01.
Data Analytics and Mining
Prof. Vikram Goyal, Professor, IIIT Delhi
Prof. Mayank Vasta and Prof. Richa Singh, IIT Jodhpur
Prof. Manoj Kumar, Professor, NIT Delhi
The track on data analysis and mining serves as a dynamic and information-rich forum where professionals, researchers, and experts converge to explore the latest developments, challenges, and innovations in the field. The field of data analytics and mining is characterized by constant innovation and adaptation to emerging technologies and data sources. Key trends include the increasing adoption of artificial intelligence and machine learning techniques for more advanced and accurate analysis, the growing importance of real-time analytics for timely insights, and the emphasis on data privacy and security in the wake of evolving regulations. Additionally, the fusion of data analytics with other technologies like the Internet of Things (IoT) and edge computing is opening up new possibilities for data-driven insights in various industries. The topics include, but are not limited to:
Data retrieval
Big Data Storage techniques
Data Mining and warehousing
Data visualisation
Modelling structure and storage of data
Scalability and portability issues of data
Data privacy and security
Parallel processing of big data
Distributed access of data
Application of big data and related topics
Web mining, text mining
Sentiment analysis
Novel theoretical and computational models
Cryptography, Cyber Security and Network Security
Prof. Harsh K. Verma, Professor, Department of Computer Science Engineering, NIT Jalandhar
Dr. T P Sharma, Associate Professor, NIT Hamirpur
Dr. Chandra Sekhar Obbu, Associate Professor, NIT Delhi
Computer network security consists of measures taken by some organizations or businesses to monitor and avoid unauthorized access from outside attackers. In the initial days of the internet, its use was limited to development purposes. The topics in the track include but are not limited to Design and security analysis of cryptographic primitives and protocols, Novel applications of cryptography, Formal verification of cryptographic security properties, Cryptographic standards, Post-quantum cryptography, Hardware & software implementations. This track also emphasizes emerging research areas in cyber security and privacy. It includes cyber security concepts, threats in cyberspace, security standardization, security and privacy regulations and laws, cyber hacking, digital forensics, Trust management, security and privacy in block chain technologies, cyberspace protection and anti-malware, network traffic analysis, identity and access management in cyber systems, cyber threat intelligence, cryptography trends, steganography, security of cyber-physical systems and IoT, secure cloud and edge computing architectures, security of web-based applications, and cyber harmony and cyber welfare. The track provides an important viewpoint on an established, major research area; support or challenge long-held beliefs in such an area with compelling evidence; or present a convincing, comprehensive new taxonomy of such an area. The topics include, but are not limited to:
Security and privacy in mobile systems
Security and privacy in adhoc networks
Network performance analysis
Cyber risk and vulnerability assessment
Intrusion detection and prevention
Visual analytics for cyber security
Security and privacy in Grid computing
Biometric security and privacy
Security and privacy in Wireless Sensor networks
Cryptographic aspects of block chains & crypto currencies
Cryptanalysis, Side-channel attacks and defences
Trust Management
Cyber harmony
Vehicle-to- Everything (V2X) Communications
Machine-to-Machine(M2M) Communication
Cloud Computing and IoT
Dr. Mashtaq Ahmed, Associate Professor, MNIT Jaipur
Dr. Piyush Kumar, Assistant Professor, NIT Patna
Prof. Jyoteesh Malhotra, Professor, NIT Delhi
The track has a vast expanse in the field Data Analytics, Distributed & Parallel Computing, High Performance Computing, Quantum Computing, Cloud Quality Management & Service level agreement, Cluster, Cloud, & Grid Computing, Mobile Computing and Edge Computing. Complementing AI into the cloud paradigm promises a journey of unlocking business potential and their operations with greater agility and efficiency. Cost savings and enhanced data management are just some of the added bonuses that come with investing in cloud technology. While the benefits are abundant, the obstacles in execution are as detrimental. Integration challenges, data privacy and concerns around connectivity can be major setbacks to your strategy. The topics include, but are not limited to:
Quantum Computing
Cloud virtualization and IoT
Cloud and IoT federation
Reliability and security
Inter cloud and multi-cloud.
Network virtualization
Fog computing
Cognitive Computing
Wireless Sensor Networks
Unmanned Aerial Vehicles
Ubiquitous Computing
Blockchain Technology
Cloud at the Edges and Mobile cloud
Cloud security
Hybrid cloud infrastructure for IoT
Security in IoT and edge cutting technologies
Artificial Intelligence and Machine Learning
Dr. Shailender Kumar, Associate Professor, DTU, New Delhi
Dr. Yogesh Kumar Meena, Associate Professor, MNIT Jaipur
Dr. Shelly Sachdeva, Associate Professor, NIT Delhi
Artificial Intelligence and Machine learning track deals with aspects of Signal Processing, Audio and Speech Processing, Computer Vision, Natural Language Processing, Supervised and unsupervised learning, Deep Learning, Data Mining, Generative Models, Reinforcement Learning and Optimization algorithm. Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Neuromorphic computing mimicking the human brain is one such wave towards AI capabilities. The topics include, but are not limited to:
Pattern recognition
Computational intelligence
Augmented reality and virtual reality
Signal processing
Self driving vehicles
Robotics
Image processing
Generative AI use-cases
Machine Learning for Systems
DeepFake Technologies
Recommender systems, computational advertising, multimedia, finance, bioinformatics
Cognitive Computing
Audio / Video Recognition
High reliability and error tolerance in AI
Time series prediction and forecasting
Digital Innovation in Healthcare and its Application
Dr. Deepak Kumar Jain, Associate Professor Chongqing University of Posts and Telecommunications, China
Dr. Deepak Ranjan Nayak, Assistant Professor, MNIT Jaipur
Dr. Anurag Singh, Associate Professor, NIT Delhi
The goal of accelerating medical innovation while enhancing the effectiveness of patient care becomes a reality in Healthcare 4.0, the fourth healthcare revolution. Utilizing a new generation of information technologies, including the Internet of things (loT), big data, cloud computing, artificial intelligence and computer vision, smart healthcare is able to completely revolutionize the current medical system making it more effective, convenient and individualized. Healthcare professionals are progressively adopting new digital trends, such as wearable gadgets that allow patients to supplement their health data and networked equipment that enable remote monitoring and patient care. This track provides the opportunity to learn the recent research trends and future scope of smart healthcare. The topics include, but are not limited to:
Health Informatics and Electronic Health Records (EHR)
Telemedicine and Remote Patient Monitoring
IoT Applications in Healthcare
Healthcare Data Privacy and Cybersecurity
Training and learning algorithms in healthcare systems
Augmented Reality (AR) and Virtual Reality (VR) in Medical Training and Treatment
Healthcare Robotics and Automation
Digital Therapeutics and Health Apps
Explainable AI in Healthcare Decision-Making
E-Health and Mobile Health (mHealth) Integration
Ethical Considerations in AI-Driven Healthcare
IoT, Fog & Cloud Computing-based Cyber Physical System for Digital Healthcare
Blockchain Applications in Healthcare
Precision Medicine and Genomics
Digital Mental Health Solutions
Healthcare Gamification for Patient Engagement
Ethical Considerations in AI-Driven Healthcare
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