Organized by O P Jindal University
Sponsored by
2027, 6th OPJU International Technology Conference (OTCON 6.0)
on SMARTICON (Smart & Intelligent Computing for Next-Generation Technologies)
(11th - 13th June, 2027)
Venue: O P Jindal University, Raigarh, India
Hybrid Mode
About Conference
The OTCON is a premier conference in Central India and provides a platform for researchers, academicians, working professionals, students and government personnel from various engineering fields to share and discuss the innovation and advancement of smart computing for Industry 5.0, especially in smart computing for high-performance computing, security, IOT and sensor devices, data sciences, communication and network, signal processing and many more .The conference will witness multiple eminent keynote speakers from academia and industry from all over the world along with the presentation of accepted peer-reviewed articles.The after-conference proceeding of the OTCON Will be submitted for inclusion to IEEE XPLORE
Our Previous Conferences
About OPJU
OP Jindal University (OPJU) has been established under the aegis of the Jindal Education and Welfare Society. The O P Jindal Group is a US$ 22 billion conglomerate, employing more than 50,000 people with manufacturing facilities across India, the US, UK, Australia, Indonesia, South Africa, Chile & Mozambique. OPJU is a multidisciplinary university aimed at developing young professionals and future leaders who will not only power the growth and development of the nation but also become responsible citizens of the world. At the core of the university’s philosophy and approach lies the belief that students learn best when exposed to real-world situations and when nurtured through enriching interactions with practitioners and professors. Website: www.opju.ac.in
Paper Submission Due
31 January 2027
Notification of Acceptance
31 March 2027
Camera Ready Submission
30 April 2027
Dignitaries
Keynote/Invited Speakers
Session Chairs
Conference Tracks
Track 1
Smart Computing for High Performance, Distributed & Cloud Computing
- High Performance Computing (HPC)
- Parallel and Distributed Computing
- Parallel and Distributed Algorithms
- Computing Theory and Computational Intelligence
- Advanced System Architectures
- System Software and Middleware
- Resource Management, Scheduling and Load Balancing
- Cloud, Edge and Fog Computing
- Grid and Cluster Computing
- Distributed Systems and Applications
- Data Center Architectures and Technologies
- Resource Virtualization and Containerization
- Storage, I/O and Memory Systems
- Big Data Computing and Analytics
- Parallel Computing for AI and Machine Learning
- Distributed AI and Intelligent Computing
- Green, Sustainable and Energy-Efficient Computing
- Pervasive and Ubiquitous Computing
- Web Services and Internet Computing
- Serverless and Function-as-a-Service Computing
- Digital Twins and High-Performance Simulation
- Quantum and Neuromorphic Computing
- Computing for Industry 5.0
Track 2
Smart Computing for Artificial Intelligence, Machine Learning & Intelligent Systems
- Artificial Intelligence and Machine Learning
- Deep Learning and Neural Networks
- Generative AI and Large Language Models
- Explainable and Trustworthy AI
- Responsible and Ethical AI
- Reinforcement Learning
- Federated and Distributed Machine Learning
- Transfer, Few-Shot and Zero-Shot Learning
- Multimodal AI
- Computer Vision and Image Understanding
- Natural Language Processing and Understanding
- Speech and Conversational AI
- Knowledge Representation and Reasoning
- Intelligent Agents and Multi-Agent Systems
- AI for Robotics and Autonomous Systems
- AI for Healthcare and Biomedical Applications
- AI for Agriculture and Smart Farming
- AI for Smart Cities and Smart Infrastructure
- AI for Industry 4.0/5.0 and Smart Manufacturing
- AI for Cybersecurity
- AI for Energy and Sustainable Development
- AI-Enabled Decision Support Systems
- Edge AI and TinyML
- AI Hardware and Accelerated Computing
Track 3
Smart Computing for Cybersecurity, Privacy & Trust
- Blockchain Security and Privacy
- Cryptographic Primitives and Protocols
- Post-Quantum Cryptography
- Data Protection and Privacy
- Identity and Access Management
- Authentication and Biometric Security
- Network and Communication Security
- Cloud, Edge and IoT Security
- Mobile and Wireless Security
- 5G/6G Security
- Software and Web Application Security
- Email and Mobile Application Security
- Security and Privacy of AI/ML Systems
- Adversarial Machine Learning
- AI for Cybersecurity and Threat Intelligence
- Trustworthy and Explainable Security
- Trust Management and Trusted Computing
- Blockchain and Distributed Ledger Technologies
- Information Leakage and Privacy-Preserving Computing
- Federated Learning and Privacy-Preserving AI
- Software Supply Chain Security
- Secure Software Engineering
- Cyber-Physical System Security
- Digital Forensics and Incident Response
- Future Internet Security
- Security, Privacy and Trust in Industry 5.0
Track 4
Smart Computing for Communication, Networks & 5G/6G Systems
- Wireless Communication Networks
- Mobile and Cellular Networks
- 5G and Beyond-5G Technologies
- 6G Communication Systems
- Communication and Information Theory
- Quantum Communication and Networking
- Internet Architecture and Protocols
- Network Protocols, Standards and Technologies
- Network Performance, Optimization and Management
- Software-Defined Networking (SDN)
- Network Function Virtualization (NFV)
- Network Slicing and Virtualized Networks
- Edge and Fog Networking
- Internet of Things (IoT) Networks
- Intelligent and Autonomous Networks
- AI/ML for Communication Networks
- Network Monitoring, Measurement and Analysis
- Cybersecurity in Communication Networks
- Network Security and Privacy
- Vehicular Ad Hoc and Intelligent Transportation Networks
- Wireless Sensor Networks
- Satellite and Space Communication Networks
- Underwater and Optical Wireless Communication
- Social Networks and Online Communities
- Next-Generation Internet Technologies
Track 5
Smart Computing for Data Science, Big Data & Analytics
- Data Science and Data Engineering
- Big Data Analytics
- Data Preprocessing and Data Cleaning
- Feature Engineering and Representation Learning
- Data Mining and Knowledge Discovery
- Regression, Classification and Clustering
- Time-Series Analysis and Forecasting
- Statistical Learning and Data Analytics
- Business Intelligence and Decision Analytics
- Corporate and Industrial Data Mining
- Financial Analytics and Credit Scoring
- Healthcare and Biomedical Data Analytics
- Bioinformatics and Computational Biology
- Social Media and Social Network Analytics
- Spatial, Geospatial and Location-Based Analytics
- Streaming and Real-Time Data Analytics
- Predictive and Prescriptive Analytics
- Data Visualization and Visual Analytics
- Knowledge Graphs and Semantic Computing
- Data Quality, Governance and Management
- Privacy-Preserving Data Analytics
- Federated and Distributed Data Analytics
- Data Analytics for Smart Cities
- Data Analytics for Smart Manufacturing
- Data Analytics for Agriculture and Environment
- Data Analytics for Education and E-Governance
- Search-Based and Recommendation Systems
Track 6
Smart Computing for Signal Processing, Computer Vision & Multimedia Intelligence
- Intelligent Signal Processing
- Digital Signal Processing
- Speech and Audio Processing
- Acoustic Signal Processing
- Biomedical Signal Processing
- EEG, ECG and Physiological Signal Processing
- Medical Signal and Image Processing
- Computer Vision and Image Processing
- Pattern Recognition and Classification
- Object Detection, Recognition and Tracking
- Video Processing and Analysis
- Multidimensional and Multimodal Signal Processing
- Adaptive Signal Processing
- Sensor Array Signal Processing
- Optical Signal Processing
- Mathematical Foundations of Signal Processing
- Signal Processing and Machine Learning
- Deep Learning for Signal and Image Processing
- High-Dimensional Statistics
- Conversational and Speech Intelligence
- Robust and Explainable AI for Signal Processing
- Reinforcement Learning for Signal Processing
- Multimedia Processing and Retrieval
- Remote Sensing and Satellite Image Processing
- Signal Processing for IoT and Sensor Networks
- Signal Processing Applications in Healthcare, Industry, Agriculture and Smart Cities
Track 7
Smart Computing for IoT, Edge Computing & Intelligent Sensor Systems
- IoT Architectures, Platforms and Applications
- Scalable IoT Architectures
- Semantic Interoperability and Web of Things
- IoT Communication Technologies and Protocols
- Wireless Sensor Networks
- Smart Sensors and Sensor Fusion
- Edge, Fog and Cloud Computing for IoT
- Edge AI and TinyML
- Energy-Efficient and Sustainable IoT
- Green IoT and Battery-Less Computing
- IoT for Smart Manufacturing and Industry 5.0
- IoT for Agriculture and Smart Farming
- IoT for Healthcare and E-Health
- IoT for Smart Cities and Smart Infrastructure
- IoT for Intelligent Transportation and Autonomous Systems
- IoT for Energy Management and Smart Grids
- IoT for Environmental Monitoring and Disaster Management
- IoT-Enabled Predictive Maintenance
- IoT-Enabled Robotics and Autonomous Systems
- IoT-Enabled AR/VR/MR and Metaverse
- IoT Data Analytics and Internet of Behaviors
- IoT Security, Privacy and Trust
- Cyber-Physical Systems
- Digital Twins and IoT
- Blockchain and Distributed Ledger Technologies for IoT
- Real-World IoT Deployments, Testbeds and Datasets
- Human-Centric and Human–IoT Interaction
- Ethical, Social and Societal Implications of IoT
Track 8
Smart Computing for Robotics, Autonomous Systems & Industry 5.0
- Intelligent Robotics
- Autonomous Robots and Systems
- Human-Robot Collaboration
- Collaborative Robotics (Cobots)
- AI-Enabled Robotics
- Robot Perception and Sensor Fusion
- Autonomous Navigation and Localization
- Swarm Robotics and Multi-Robot Systems
- Industrial Robotics and Automation
- Intelligent Manufacturing Systems
- Smart Factories and Industry 4.0/5.0
- Cyber-Physical Production Systems
- Digital Twins for Manufacturing
- Predictive Maintenance and Intelligent Operations
- Autonomous Transportation and Intelligent Mobility
- Intelligent Vehicles and Transportation Systems
- Human-Centric Manufacturing
- Sustainable and Green Manufacturing
- AI-Driven Industrial Decision Support
- Industrial IoT and Edge Intelligence
- Intelligent Supply Chain and Logistics
- Quality Inspection and Defect Detection
- Safety and Security in Autonomous Systems
- Ethical and Responsible Autonomous Systems
- Robotics Applications in Healthcare, Agriculture and Industry
Track 9
Smart Computing for Emerging Technologies & Interdisciplinary Applications
- Quantum Computing and Quantum Information
- Quantum Machine Learning
- Neuromorphic Computing
- Brain-Computer Interfaces
- Extended Reality (AR/VR/MR)
- Metaverse and Immersive Computing
- Digital Twins
- Blockchain and Web3 Technologies
- Intelligent Transportation Systems
- Smart Healthcare and Digital Health
- Smart Agriculture and Precision Farming
- Smart Cities and Smart Infrastructure
- Smart Energy and Sustainable Computing
- Green Computing and Circular Digital Technologies
- Computational Biology and Bioinformatics
- FinTech and Intelligent Financial Systems
- EdTech and Intelligent Education Systems
- LegalTech and Computational Law
- Assistive Technologies and Inclusive Computing
- Human-Centric Computing
- Social Computing and Digital Society
- Sustainable Development through Smart Computing
- Industry 5.0 Applications
- Interdisciplinary Applications of AI and Smart Computing
- Emerging Technologies for Future Intelligent Systems