Abstract and Poster Program: Call for Proposals
CTIAR’2025 invites submissions to the Student Abstract and Poster Program. The goal of this program is to provide a forum for students to present and discuss their work in its early stages, connect with peers who share similar research interests, and introduce themselves to senior members of the AI community. The program is open to all students at the Undergraduate, Masters, and Doctoral levels. While non-student advisors and collaborators should be acknowledged appropriately, students are encouraged to submit work in which they are the primary investigators, adhering to the spirit of the program.
Connection to Collaborative Bridge Theme
As new opportunities emerge when different disciplines intersect, the collaborative bridge theme of CTIAR’2025 aims to nurture such interdisciplinary innovation. Students, exposed to a variety of cutting-edge methodologies through their coursework, are ideally positioned to combine different approaches in their research. By unifying multiple AI disciplines, students can open the door to collaborative partnerships and new perspectives. If your research aligns with this bridge-building theme, you are encouraged to include a discussion in your abstract and poster explaining how integrating different methodologies has helped shape your research objectives.
Submissions and Dates
Additionally, students should submit a supplemental file (in PDF or ZIP format, not exceeding 20MB) that contains complementary material to aid the reviewers, given the brevity of the abstract. Notification of acceptance or rejection will be sent by October 30, 2024, and the camera-ready copy of accepted abstracts is due by November 17, 2024.
Submission Limit
CTIAR’2025 enforces a strict submission limit. Each student may submit only one abstract as the primary author to the Student Abstract and Poster Program. Authors cannot be added to the paper after the submission deadline.
Submissions to CTIAR’2025 or Other Conferences
Students may submit abstracts based on work submitted to CTIAR’2025 or other conferences, but not for work that has already been published. Abstracts are reviewed independently, and acceptance into the student program is not tied to full paper outcomes. Students are advised to check the policies of other conferences for dual submissions. All accepted abstracts must be original and conform to the CTIAR Publication Ethics and Malpractice Statement.
Publication
Accepted abstracts will be allocated two pages in the conference proceedings. Students must transfer the copyright of their abstracts to CTIAR. A copy of the CTIAR copyright form is available in the author kit. Upon camera-ready submission, authors must include a “Student Abstract” designation in the title as per provided instructions.
Poster Session
Authors of accepted abstracts will present their work in a poster session at the conference. Student authors are required to prepare a poster based on their abstract and be available to discuss their work during the allocated time at the event.
Three-Minute Presentation Contest
Selected authors will be invited to participate in a 3-Minute Presentation Contest, where they will present their research and its significance in three minutes, using only a single static slide (no transitions, animations, videos, or sound). A special prize committee will award the best presentation.
Three-Minute Presentation Contest
A complete list of student abstract keywords is available in the author kit.
For More Information
For inquiries regarding submissions and suggestions for the Student Abstract and Poster Program, please contact president@canatechinstitute.ca.
CTIAR-25 Student Abstract and Poster Program Keywords
- AI-Driven Decision Support
- Predictive Analytics
- Machine Learning
- Business Process Automation
- Cybersecurity Challenges
- Cloud-Based MIS
- AI-Powered Data Management
- Distributed MIS Security
- AI-Enhanced Engineering Design
- Predictive Maintenance
- Cybersecurity for IoT
- Process Optimization
- AI-Driven Robotics
- Cloud-Based Design Systems
- Economic Impact of AI
- Economic Forecasting
- Blockchain Technology
- AI for Fraud Detection
- FinTech Cybersecurity
- Economic Risk Mitigation
- Precision Agriculture
- Farm Network Security
- AI-Powered Crop Monitoring
- Agricultural Supply Chain
- Farm Equipment Automation
- AI for Student Performance
- Data Privacy in EdTech
- Personalized Learning
- Student Data Security
- Virtual Classrooms Cybersecurity
- AI-Driven Supply Chain
- Sustainable Marketing Analytics
- Ethical Marketing Solutions
- Supply Chain Optimization
- Customer Data Protection
- Geospatial Data Security
- AI for GIS Threat Detection
- Location-Based Services
- Smart Cities Security
- Remote Sensing Cybersecurity
- Business Intelligence
- Threat Detection in Business
- Big Data Analytics Security
- AI for CRM Security
- AI-Powered Fraud Detection
- Digital Healthcare Cybersecurity
- AI for Electronic Health Records
- Telemedicine Security
- Medical IoT Devices Security
- Nursing Informatics
- AI in Social Research
- Social Media Privacy
- Citizen Data Protection
- Social Policy Analytics
- Digital Social Networks Security
- Environmental Data Security
- Environmental Monitoring
- Climate Models Protection
- Remote Sensing for Environment
- Big Data Optimization
- Data Privacy in Big Data
- Cloud-Based Computing Security
- AI for Business Analytics
- Financial Systems Security
- Smart City Monitoring
- AI for Urban Mobility
- Smart Grid Security
- Organizational Performance Monitoring
- Business Process Automation
- Enterprise Resource Planning (ERP)
- GRC Automation
- Regulatory Compliance
- AI for Risk Management
- GDPR Compliance
- Third-Party Risk Management
- DevOps Security
- AI for Product Lifecycle
- Business Impact Analysis
- SOC Threat Detection
- Incident Response Automation Top of Form
