Hybrid Conferencee

International Conference on Visual Data Science and Image Analytics (ICVDSIA - 26)

23rd - 24th December 2026 | Lilongwe, Malawi

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Lilongwe. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Lilongwe event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Lilongwe conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Lilongwe, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Lilongwe."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICVDSIA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Vision Engineering, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Visual data science techniques and methodologies
02
Applications of image analytics in business
03
Challenges in visual data science research
04
Machine learning for visual data insights
05
Real-time visual data processing systems
06
User experience in visual data analytics tools
07
Visual data science for social media analysis
08
Ethics in visual data science applications
09
Visual data science in healthcare analytics
10
Future trends in visual data science
11
Case studies in visual data analytics
12
Visual data science for environmental monitoring
13
Innovations in visual data science technologies
14
Visual data science for smart cities
15
Applications of visual analytics in education
16
Visual data science for marketing strategies
17
Data visualization techniques for visual data
18
Visual data science in finance and investment
19
User-centered design in visual data tools
20
Visual data science for public policy analysis