IC-SMART 2026
An international, hybrid conference platforming interdisciplinary research at the intersection of sustainability, security, and intelligence.
Proceedings book theme: Sustainable, Secure and Intelligent Systems: Advances, Architectures and Applications.
Core Themes
- Sustainable technologies & transportation
- AI-powered cybersecurity & governance
- Data science, big-data architectures & responsible digital innovation
- HCI for social good
- Robotics, IoT, federated learning & edge AI
What you’ll get
- Invited talks, panels, demos
- Workshops + innovation challenge
- Posters/demos + doctoral consortium
- Industry–academia collaboration outcomes (MoUs, funded leads, lab collaborations)
About the conference
IC-SMART 2026 is an international, hybrid conference hosted by IILM University, designed to strengthen industry–academia collaboration through talks, panels, and demonstrations, while enabling high-quality publication output.
Audience
Researchers, practitioners, and advanced students working on trustworthy intelligent systems across sustainability and security.
Approach
Emphasis on reproducible methods, practical prototypes, and applied research aligned with real-world challenges.
Outcomes
MoUs, funded project leads, consulting opportunities, and long-term lab collaborations.
Tracks
Submit to one of the major interdisciplinary tracks below (you can rename these to match your final CFP).
Sustainability & Smart Systems
Sustainable technologies, smart infrastructure, sustainable transportation, energy-aware systems.
AI-Driven Cybersecurity & Governance
Threat detection, secure AI, trustworthy ML, cyber governance, privacy and resilience.
Data Science & Big-Data Architectures
Scalable analytics, modeling, simulation, data engineering, responsible digital innovation.
HCI for Social Good
Inclusive interfaces, usability for impact, accessibility, human-centered AI systems.
Robotics & Autonomous Systems
Perception, planning, control, autonomous navigation, intelligent automation.
IoT, Federated Learning & Edge AI
Privacy-preserving learning, edge deployment, intelligent sensing, distributed intelligence.
Conference highlights
Designed for strong student engagement + research visibility.
Keynotes & Panels
Invited experts across sustainability, AI security, data science, and intelligent systems.
Workshops
Hands-on sessions to build practical skills and project prototypes.
Innovation Challenge
A flagship challenge to showcase solutions, demos, and applied outcomes.
Posters & Demos
Rapid visibility for early-stage work and prototype validations.
Doctoral Consortium
Structured feedback on PhD work, methodology, and publication planning.
Collaboration Outcomes
MoUs, consulting leads, funded project directions, and lab-to-industry pathways.
Important dates
Update these once your timeline is finalized.
Peer review & publication ethics
The conference follows blind review with plagiarism screening (target <10%) and minimal AI content.
Double-blind review
Reviewer and author identities are hidden to reduce bias during evaluation.
Screening
Papers are reviewed by three reviewers (blind review) and screened for plagiarism (target <10%).
Organizers & contacts
Editorial and coordination contacts (as per your proposal).
Editors
- Dr. Narender Kumar — NIMS University, India
- Dr. Himanshu Sharma — IILM University, Greater Noida
- Dr. Patrick Segers — Belgium
- Dr. Andrew MacDaid — New Zealand