Institution Name: National Institute of Technology, Raipur
Event Type: International Conference
Conference Name: 13th IEEE International Conference on Intelligent Systems and Embedded Design (ISED-2025)
Conference Start Date: 17-12-2025
Conference End Date: 19-12-2025
Conference Mode: Hybrid Mode
Conference Organizing Department: Department of Computer Science & Engineering
The Department of Computer Science & Engineering, NIT Raipur is organizing 13th IEEE International Conference on Intelligent Systems and Embedded Design (ISED-2025) during 17th – 19th December 2025 for deliberating with distinguished experts in this field. This invitation is open for all academicians, research scholars, post-docs, PG and UG students functioning in the relevant areas. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered, and solutions adopted in relevant areas.
Conference Tracks
The Conference topics can be identified by, but are not limited to, the following subjects
Track 1: Embedded AI and Machine Learning
- Deep learning applications for embedded systems
- Real-time machine learning on edge devices
- Efficient algorithms for embedded AI
- Neural network optimization for resource-constrained devices
- Edge computing and distributed learning in embedded systems
- Hardware accelerators for AI inference on embedded platforms
- Explainable AI for embedded systems
- Federated learning on edge devices
- Transfer learning in resource-constrained environments
- Adaptive learning algorithms for dynamic embedded systems
- Energy-efficient training strategies for embedded AI models
- Benchmarking and performance evaluation of embedded ML models
Track-2: IoT and Sensor Networks
- Integration of intelligent sensors in embedded systems
- Energy-efficient communication protocols for IoT devices
- Security and privacy in embedded IoT networks
- Edge computing for IoT data processing
- Sensor fusion and data analytics in embedded systems
- Wireless sensor networks for smart environments
- Edge-based anomaly detection in IoT networks
- Low-power communication protocols for sensor networks
- Cognitive IoT: Learning and adapting IoT devices
- Edge-based data aggregation and compression techniques
- Blockchain for securing IoT transactions
- Energy harvesting techniques for IoT devices
Track-3: Embedded Systems Security:
- Secure boot and firmware update mechanisms
- Hardware-based security for embedded devices
- Intrusion detection and prevention in embedded systems
- Cryptographic techniques for securing embedded communications
- Trustworthy computing in resource-constrained environments
- Security challenges in the Internet of Things (IoT) devices
- Side-channel attack mitigation in embedded systems
- Post-quantum cryptography for embedded security
- Hardware Trojan detection and prevention
- Secure bootstrapping and attestation in IoT devices
- Biometric authentication in embedded systems
- Security-aware design methodologies for embedded systems
Track 4: Robotics and Autonomous Systems
- Intelligent control systems for robots
- Embedded vision and perception for autonomous robots
- Swarm robotics and collaborative embedded systems
- Human-robot interaction in embedded environments
- Navigation and mapping algorithms for autonomous systems
- Safety and reliability in embedded robotic systems
- Explainable decision-making in autonomous systems
- Human-aware navigation for robots
- Swarm intelligence and optimization in robotic networks
- Embedded systems for medical and healthcare robotics
- Adaptive learning for robotic task optimization
- Ethical considerations in the deployment of autonomous systems
Track 5: Edge Computing and Fog Computing
- Architecture and design of edge/fog computing systems
- Edge-based analytics and decision-making
- Resource management and optimization in edge/fog computing
- Latency-aware applications for edge devices
- Edge intelligence for real-time data processing
- Case studies of successful edge computing implementations
- Edge-based machine learning model deployment strategies
- Adaptive resource allocation in fog computing
- Edge-based data pre processing and filtering techniques
- Edge/fog computing for real-time video analytics
- Integration of edge computing with cloud services
- Energy-efficient algorithms for edge device communication
Track 6: Emerging Technologies in Embedded Systems
- Quantum computing for embedded applications
- Neuromorphic computing in embedded systems
- Bio-inspired algorithms for embedded devices
- 5G and beyond for embedded communication
- Augmented reality and embedded systems
- Integration of blockchain in intelligent embedded systems
- Edge quantum computing applications
- Neuromorphic hardware design for embedded AI
- Bio-inspired sensor networks and algorithms
- Integration of AI and 5G technologies in embedded systems
- Edge-based augmented reality applications
- Robustness and security considerations in blockchain-enabled embedded systems
Track 7: Drone Technologies and Applications:
- Autonomous navigation and obstacle avoidance for drones
- Real-time embedded vision processing in drone applications
- Energy-efficient algorithms for drone flight control
- Swarming and collaborative behaviors in drone networks
- Embedded systems for aerial mapping and surveying
- Security and privacy considerations in drone communication
- Edge computing for on-board data processing in drones
- AI-based decision-making in autonomous drone missions
- Integration of sensors and actuators for enhanced drone capabilities
- Emerging trends in drone hardware design and miniaturization
Track 8: Medical and Healthcare Embedded Devices
- Embedded systems for remote patient monitoring
- Wearable healthcare devices and biosensors
- Real-time processing of medical imaging data on embedded platforms
- Edge computing for healthcare analytics and decision support
- Secure communication in medical IoT networks
- Assistive technologies and smart prosthetics
- Embedded systems for drug delivery and dosage control
- Biomedical signal processing and analysis in embedded devices
- Patient-centric healthcare applications of embedded technology
- Ethical and regulatory considerations in medical embedded systems
Track 9: Pollution and Environmental Monitoring
- IoT-based air quality monitoring systems
- Water quality sensing and monitoring with embedded devices
- Soil contamination detection using embedded sensors
- Noise pollution monitoring and control strategies
- Integration of drones for environmental surveillance
- Smart city solutions for pollution management
- Real-time data analytics for pollution prediction and control
- Low-power embedded systems for long-term environmental monitoring
- Crowdsourced data collection for pollution mapping
- Climate change and sustainability through embedded technologies
Track 10: Green Technology and Sustainable Embedded Systems
- Energy-efficient embedded systems design and optimization
- Renewable energy sources for powering embedded devices
- Green computing strategies for resource conservation
- Eco-friendly materials and manufacturing processes in embedded systems
- Life cycle assessment of embedded devices and technologies
- Smart grids and energy-aware communication protocols
- Sustainable practices in hardware and software development
- Carbon footprint reduction through intelligent embedded solutions
- Integration of green technology in smart cities
- Environmental and social responsibility in embedded system design
Track 11: Recent trends in AI and Machine Learning
- Cognitive Science
- Image Processing, and Computer Vision
- Natural Language Processing and LLMs
- Machine Translation
- Bioinformatics, Biomedical Informatics and Computational Biology
- Big Data Analytics, Computational Finance
- Text Mining, Visual Mining, Graph Data Mining
- Social Media Analysis
- Optimization Techniques
Track 12: Recent trends in Security and Privacy
- Privacy Sensitive Data Mining
- Information Network, and Cyber Security, Content Protection, and Digital Right
- Watermarking, Stenography, Cryptography, and Biometrics
- Performance Analysis and Security in Cloud Computing
- Power Systems, Smart Grid, and Grid Computing
- Cybersecurity in Power Grids
- Power System Security Management through Advance IT Applications
- IP Core Design and Algorithm for IP Core Protection
- Artificial Intelligence and Deepfakes
Who can participate?
- Academicians, Researcher, Research Scholar, Industry Professionals and Students.
Registration Fee: (Including GST)
| Category |
SAARC (India, Nepal, Sri Lanka, Pakistan, Bangladesh, Bhutan, Burma) |
Other Countries |
| Researcher/Academician |
INR 9745/- + 1755/- (GST) = 11500/- |
USD 300 |
| Student/Research Scholar (IEEE Members) |
INR 7204/- + 1296/- (GST) = 8500/- |
USD 250 |
| Student/Research Scholar (Non-IEEE Members) |
INR 8051/- + 1449/- (GST) = 9500/- |
USD 275 |
| Industry Professionals |
INR 10593/- + 1907/- (GST) = 12500/- |
USD 350 |
| Only Participants |
INR 2500/- |
USD 50 |
Submission Link:https://cmt3.research.microsoft.com/ISED2025
Important Dates:
- Full Paper Submission: Hard Extended Deadline: August 15, 2025
- Paper Acceptance Notification: September 30, 2025
- Camera-Ready submission: October 25, 2025
- Early Bird Registration: October 25, 2025
- Registration: November 15, 2025
- Conference: December 17-19, 2025
Contact Persons:
- Dr. Manu Vardhan
Email: mvardhan.cs@nitrr.ac.in
- Dr. Jitendra Kumar Rout
Email: jkrout.cs@nitrr.ac.in
- Dr. Deepak Singh
Email: dsingh.cs@nitrr.ac.in
Email: ised2025@nitrr.ac.in
About the Institution:
National Institute of Technology Raipur (Formerly Government Engineering College Raipur) spared over an area of 100 acres and located in Raipur, the Capital City of Chhattisgarh State. Raipur city is well connected with Mumbai, Delhi, Chennai, Visakhapatnam, Nagpur & Bhubaneshwar by regular flights and is on the main Howrah-Mumbai railway line route. The institute is 5 km from Raipur railway station and 14 km from airport on NH-6, the Great Eastern Road. NIT Raipur has proven to be “avant-grade’ in the field of science and technology over past few decades in this region. With sweet memory of foundation ceremony by our president Hon’ble Dr. Rajendra Prasad on 14th September 1956. the institute started with two departments namely Metallurgical and Mining Engineering. Later the inauguration of the Institute building was done by our Prime Minister Hon’ble Pt. Jawahar Lal Nehru on 14th March 1963. From 1st December 2005, the institute has become the National Institute of Technology. Presently NIT Raipur offers 12 undergraduate, 11 Postgraduate (including M.C.A and M.Tech. in Applied Geology) and 18 Ph.D programs. The institute offers facilities for Ph.D. and also under takes R & D activities, provides testing, consultancy and other extension services including continuing education to the industry through the Industry Institute Interaction cell and the placement of the student through the Department of Training & Placement. The students have brought laurels to the institute and very well placed in Government organisation, Public and Private Sectors, Multinational Companies, Universities, research organisation in India and abroad.
