International Conference on Data Science and Intelligence (ICDSI-2027)
1. Quick Facts & Important Dates
- Event Name: International Conference on Data Science and Intelligence (ICDSI-2027)
- Organizer: Department of Information Technology, Delhi Technological University
- Conference Dates: 4-5 February 2027
- Last date for paper submission: 30th September 2026
- Paper Acceptance notification deadline: 15th November 2026
- Paper registration deadline: 30th November 2026
- Camera Ready Paper submission deadline: 30th November 2026
2. About the University
Delhi Technological University (DTU) began in 1941 as Delhi Polytechnic, the country’s first polytechnic and then became Delhi College of Engineering in 1965, and gained university status in 2009. Its 163-acre Rohini campus blends heritage buildings with modern labs, a central library, and innovation hubs that support interdisciplinary teaching and student-led research.
As a research powerhouse, DTU publishes extensively in fields like AI, renewable energy and nanotechnology, with projects funded by DST, CSIR and DRDO. Strong industry ties-sponsored labs, internships and incubators-plus alumni in leadership roles underscore its lasting impact on engineering and technology.
3. About the Conference
The International Conference on Data Science & Intelligence (ICDSI-2027), organized by the Department of Information Technology at Delhi Technological University, will be held on 4–5 February 2027. ICDSI-2027 brings together leading researchers, practitioners, and industry experts to discuss cutting-edge advances in data science, artificial intelligence, and intelligent systems. Against the vibrant academic backdrop of DTU’s engineering campus, the conference will offer keynote talks and technical sessions that span both foundational theory and real-world applications.
ICDSI-2027 is structured around seven thematic tracks: Intelligent Systems: AI, Machine Learning & Deep Learning; Generative AI; Natural Language, Computer Vision & Multimodal Analytics; Data Science, Big Data & Knowledge Discovery; Internet of Things & Edge Intelligence; Ethics, Privacy & Security in Data and AI; and Cybersecurity.
4. Conference Tracks
ICDSI-2027 invites submissions across a diverse set of tracks designed to showcase cutting-edge research in data science and intelligence. Authors are encouraged to submit original work that advances theoretical foundations, proposes novel methodologies, or demonstrates significant practical applications within each track.
Each track focuses on a critical and emerging area of data science and intelligent systems, encompassing artificial intelligence, machine learning, generative AI, natural language processing, computer vision, multimodal analytics, big data, IoT and edge intelligence, responsible AI, privacy, and cybersecurity. By spanning these interconnected themes, ICDSI-2027 aims to foster a comprehensive dialogue among researchers, practitioners, and industry experts, accelerating innovation and impacting emerging technologies.
- Intelligent Systems: AI, Machine Learning & Deep Learning: Supervised Learning & Regression Models, Unsupervised Learning & Clustering Techniques, Reinforcement Learning & Markov Decision Processes, Deep Neural Architectures (CNNs, RNNs, GNNs), Transformer Models & Attention Mechanisms, Self-Supervised & Contrastive Learning, Representation Learning & Embedding Techniques, Meta-Learning, Few Shot & Transfer Learning, Neural Architecture Search & Model Compression, Explainable AI, Interpretability & Fairness.
- Generative AI: Large Language Models (LLMs) & Foundation Models, Generative Models: GANs, VAEs & Diffusion Models, Prompt Engineering & In-Context Learning, Retrieval-Augmented Generation (RAG) & Knowledge-Grounded Generation, Fine-Tuning, Instruction Tuning & Parameter-Efficient Adaptation, Generative AI Agents & Agentic AI Systems, Multimodal Generative AI for Text, Image, Audio & Video, Synthetic Data Generation & Data Augmentation, Evaluation, Benchmarking & Hallucination Mitigation in Generative AI, Generative AI Applications across Healthcare, Education, Industry & Scientific Discovery.
- Natural Language, Computer Vision & Multimodal Analytics: Language Modeling & Transformer Architectures, Machine Translation & Cross-Lingual Learning, Text Summarization & Information Extraction, Question Answering & Conversational AI, Sentiment Analysis & Opinion Mining, Image Classification & Convolutional Models, Object Detection, Semantic & Instance Segmentation, Video Analytics & Action Recognition, Vision-Language Fusion & Multimodal Representation, Speech Recognition, Synthesis & Audio Processing.
- Data Science, Big Data & Knowledge Discovery: Data Preprocessing & Feature Engineering, Statistical Modeling & Hypothesis Testing, Distributed Data Processing Frameworks (Hadoop, Spark), Scalable Data Warehousing & ETL Pipelines, Streaming Analytics & Real-Time Data Processing, Data Visualization & Interactive Dashboards, Graph Analytics & Knowledge Graph Construction, Anomaly Detection & Outlier Analysis, Time Series & Sequential Data Mining, Text Mining & Knowledge Discovery.
- Internet of Things & Edge Intelligence: IoT Architectures, Protocols & Standards (MQTT, CoAP), Sensor Networks & Data Acquisition Techniques, Edge/Fog Computing Frameworks & Middleware, Federated & Distributed Learning on Edge Devices, Energy-Efficient & Lightweight AI Models, Edge Hardware Accelerators & Neuromorphic Chips, Real-Time Edge Analytics & Stream Processing, Resource Management, Orchestration & Scheduling, Digital Twins & Cyber-Physical Systems, Interoperability, Standardization & Gateway Design.
- Ethics, Privacy & Security in Data and AI: Algorithmic Fairness, Bias Detection & Mitigation, Differential Privacy & Privacy-Preserving ML, Adversarial Robustness & Secure Model Training, Ethical Frameworks, Governance & Accountability, Data Anonymization, De-identification & Consent Models, Explainability, Transparency & Auditability Tools, Legal, Regulatory & Compliance Issues (GDPR, CCPA), Trustworthy AI Certification & Standards, Human-AI Interaction & Societal Impacts, Responsible Data Governance & Stewardship.
- Cybersecurity: Network & Infrastructure Security Architectures, Cryptographic Algorithms, Protocols & Key Management, Intrusion Detection & Prevention Systems (IDS/IPS), Malware Analysis, Reverse Engineering & Sandboxing, Vulnerability Assessment & Penetration Testing, Secure Software Development & DevSecOps Practices, Cloud Security & Container/VM Hardening, Identity & Access Management (IAM), Threat Intelligence, Security Analytics & SOC Operations, Blockchain, Distributed Ledger Technologies & Security.
5. Frequently Asked Questions (FAQ)
Frequently Asked Questions (FAQ)
- Q1: What is the last date for paper submission?
Ans: The last date for paper submission is 30th September 2026. - Q2: When will the paper acceptance notification be released?
Ans: The paper acceptance notification deadline is 15th November 2026. - Q3: What are the deadlines for paper registration and camera-ready paper submission?
Ans: Both the paper registration deadline and the camera-ready paper submission deadline are on 30th November 2026. - Q4: On what dates will the ICDSI-2027 conference be held?
Ans: The conference will be held on 4-5 February 2027. - Q5: Who is organizing the International Conference on Data Science and Intelligence (ICDSI-2027)?
Ans: It is organized by the Department of Information Technology at Delhi Technological University.