Hybrid Conferencee

International Conference on Smart Cities and Machine Learning (ICSCML - 26)

16th - 17th November 2026 | Columbus, USA

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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 Columbus. 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 Columbus 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 Columbus conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Columbus, 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 Columbus."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSCML 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 Machine Learning, 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
Smart city infrastructure and machine learning
02
Traffic management using AI technologies
03
Public safety applications of machine learning
04
Energy efficiency in smart cities
05
Data analytics for urban planning
06
Citizen engagement through smart technologies
07
Machine learning for waste management solutions
08
IoT integration in smart city frameworks
09
Predictive maintenance for urban infrastructure
10
Environmental monitoring in smart cities
11
Machine learning for public transportation systems
12
Social equity in smart city initiatives
13
AI for emergency response optimization
14
Smart grids and energy management
15
Urban health monitoring using AI
16
Machine learning for housing and development
17
Future of smart city technologies
18
Collaborative governance in smart cities
19
Machine learning for urban resilience
20
Ethical considerations in smart city AI