Call for Papers

The 2nd International Conference on Data Sciences, Security and Applications (ICDSSA'27) invites researchers, academicians, industry professionals, research scholars and students to submit their original research contributions for presentation at the conference.

ICDSSA'27 provides a multidisciplinary forum for presenting recent advances, innovative methodologies, emerging technologies and practical solutions in Data Sciences, Security and Applications. Contributions addressing theoretical foundations, computational approaches, system development and real-world applications are encouraged.

Tracks of ICDSSA'27

Track 1: Data Science, Big Data Analytics and Intelligent Decision Support

Data Science Foundations and Methodologies
Big Data Analytics and Engineering
Predictive, Prescriptive, Descriptive and Diagnostic Analytics
Scalable and Real-Time Data Analytics
Streaming Data and Time-Series Analytics
Statistical and Probabilistic Modelling
Data Preprocessing, Cleaning and Quality Assessment
Feature Selection, Engineering and Dimensionality Reduction
Data Visualization and Visual Analytics
Business Intelligence and Decision Support Systems
High-Performance Data Analytics
Data-Driven Forecasting and Optimization

Track 2: Artificial Intelligence, Machine Learning, Deep Learning and Generative AI

Supervised, Unsupervised and Semi-Supervised Learning
Deep Neural Networks and Hybrid AI Models
Convolutional Neural Networks and Transformer-Based Learning
Reinforcement Learning and Deep Reinforcement Learning
Generative AI and Foundation Models
Large Language Models and Multimodal AI
Generative Adversarial Networks and Diffusion Models
Retrieval-Augmented Generation and Agentic AI
Computer Vision, Image Processing and Pattern Recognition
Natural Language Processing and Speech Intelligence
Federated, Transfer and Few-Shot Learning
Explainable, Trustworthy and Responsible AI
AI Model Evaluation, Benchmarking and Optimization

Track 3: Cybersecurity, Privacy, Blockchain and Trustworthy Digital Systems

AI and Machine Learning for Cybersecurity
Intrusion Detection and Prevention
Malware, Ransomware and Phishing Detection
Cyber Threat Intelligence and Security Analytics
Network, Wireless and Cloud Security
IoT and Edge Security
Privacy-Preserving Machine Learning and Data Analytics
Federated Learning Security and Differential Privacy
Adversarial Machine Learning and AI-Powered Cyber Defense
Blockchain and Distributed Ledger Technologies
Smart Contracts and Decentralized Applications
Digital Identity, Authentication and Access Control
Secure Data Sharing, Integrity and Provenance
Zero-Trust Architecture and Critical Infrastructure Security
AI Governance, Digital Forensics and Data Protection

Track 4: Cloud, Edge, Green Computing and Sustainable Digital Infrastructure

Cloud Computing and Cloud Infrastructure
Edge Computing and Edge Intelligence
Fog Computing and Distributed Computing
Green Computing and Energy-Efficient Architectures
Sustainable Data Centres and Cloud Resource Optimization
Serverless Computing and Cloud-Native Systems
AI-Enabled Cloud Computing
Intelligent Resource Allocation and Workload Scheduling
High-Performance and Energy-Efficient Computing
TinyML and Resource-Constrained AI
AI for DevOps and AIOps
Digital Twins for Infrastructure Optimization
Sustainable Computing Architectures
Carbon-Aware Computing and Energy Management

Track 5: Internet of Things, Smart Applications and Next-Generation Networks

Internet of Things and Industrial IoT
Intelligent Sensor Networks and Wireless Sensor Networks
Smart Applications and Connected Devices
IoT Data Analytics and Intelligent Monitoring
IoT Energy Optimization and Energy-Efficient Routing
5G/6G and Next-Generation Communication Networks
Software-Defined Networking and Network Function Virtualization
Intelligent Routing and Network Resource Allocation
Internet of Vehicles and Vehicular Ad Hoc Networks
Connected and Autonomous Vehicles
Intelligent Transportation and Mobility Systems
UAV, Drone and Satellite Communication Networks
AI for Signal Processing and Spectrum Management
Cyber-Physical Systems and Industry 4.0/5.0
Smart Homes, Smart Cities and Intelligent Infrastructure

Track 6: Data Mining, Knowledge Discovery and Semantic Computing

Data Mining Algorithms and Applications
Knowledge Discovery from Structured and Unstructured Data
Semantic Computing and Semantic Web Technologies
Knowledge Representation and Reasoning
Knowledge Graphs and Ontology Engineering
Graph Neural Networks and Graph Analytics
Information Retrieval and Search Technologies
Text Mining and Document Analytics
Social Network, Social Media and Sentiment Analytics
Opinion Mining and Behavioural Analytics
Heterogeneous and Multimodal Data Integration
Recommender Systems and Personalization
Data Integration, Interoperability and Data Management
Natural Language Understanding and Semantic Information Processing
Scientific Data Discovery and Knowledge-Based Systems

Track 7: Sustainable and Intelligent Systems, Emerging Technologies and SDG-Driven Innovation

Sustainable and Intelligent Systems
Emerging Technologies for the United Nations Sustainable Development Goals
Swarm Intelligence and Nature-Inspired Computing
Evolutionary Computation and Metaheuristic Optimization
Quantum Computing and Quantum Machine Learning
Neuromorphic and Brain-Inspired Computing
Autonomous and Distributed Intelligent Systems
Robotics, Intelligent Automation and Human-Robot Collaboration
Smart Manufacturing and Industry 5.0
Renewable Energy and Intelligent Energy Management
Smart Grids and Energy Demand Forecasting
Climate Informatics and Environmental Monitoring
Disaster Prediction and Sustainable Resource Management
Precision Agriculture and Smart Farming
Circular Economy, Resource Efficiency and Resilient Infrastructure
AI for Sustainable Transportation and Environmental Protection

Track 8: Interdisciplinary Applications, Health Informatics, MedTech, Social Impact and Digital Transformation

Interdisciplinary Applications of Artificial Intelligence and Data Science
AI for Healthcare and Medical Informatics
Medical Image Analysis and Computer-Aided Diagnosis
Clinical Decision Support and Predictive Healthcare
Digital Health and Intelligent Patient Monitoring
Precision Medicine and Personalized Healthcare
Bioinformatics and Computational Biology
Pharmaceutical Research and Drug Discovery
AI for Education and Learning Analytics
Digital Transformation in Governance and Public Services
AI for Finance, Banking and Insurance
Fraud Detection and Financial Data Analytics
Social Impact, Digital Inclusion and AI for Social Good
Human-Centred AI and Human-AI Collaboration
Digital Public Infrastructure and E-Governance
AI for Accessibility, Equity and Inclusive Innovation
Interdisciplinary AI Applications in Engineering, Agriculture, Energy and Environmental Sustainability
Cross-Domain Intelligent Systems for Sustainable Development
Emerging Interdisciplinary Technologies and Applications

Paper Submission

Authors are invited to submit original and unpublished research papers addressing the themes and scope of ICDSSA'27.
Submitted manuscripts should present clear research objectives, methodology, results and significant conclusions.
Papers should contain substantial original contributions and should not be under consideration for publication elsewhere during the review process.
All submissions will be subject to the conference's peer-review and selection process.
Accepted papers will be considered for presentation at ICDSSA'27 subject to completion of the required registration formalities.

Types of Contributions

Full Research Papers

Original research contributions presenting significant theoretical, methodological or experimental results.

Application-Oriented Papers

Innovative implementations and practical applications addressing real-world problems using data science, security and intelligent technologies.

Author Guidelines

Authors should prepare manuscripts according to the prescribed conference template and submission guidelines. Detailed formatting instructions, paper templates, submission procedure and publication-related information will be made available through the conference website.

Important: The paper submission deadline, submission portal, manuscript template and other submission details will be announced on the conference website. Authors are advised to check the Important Dates section regularly for updates.

Share Your Research with ICDSSA'27

We invite the research community to contribute innovative ideas and impactful research towards the advancement of Data Sciences, Security and Applications.

Important Dates
Conference Dates
29–30 April 2027
Paper Submission
30th Dec 2026
Notification
1st Feb 2027
Camera Ready
20th Feb 2027
Registration
21st April 2027

Conference Secretariat

PATRON
Dr. Vishwajeet Kadam
Secretary
Bharati Vidyapeeth, Pune
GENERAL CHAIR
Prof. Dharmender Saini
Principal, BVCOE New Delhi
GENERAL Co-CHAIR
Prof. Manju Khari
Dean, JNU, Delhi
Prof. Vanita Jain
HOD-ECE, FOT, Delhi University, Delhi
Prof. Prakhar Priyadarshi
V.P. (Admin) & HOD (IT), BVCOE, New Delhi
CONVENER

Dr. Arvind Rehalia
Dr. Achin Jain

ORGANIZING SECRETARIES

Dr. Neha Gupta
Dr. Ajay Dureja
Mr. Mohit Dayal
Dr. Neha Sharma

Bharati Vidyapeeth's College of Engineering
New Delhi, India