








ICRACS 2026
International Conference on Recent Advances in
Artificial Intelligence, Computer Vision & Smart Systems
Important Dates
Paper Submission
Deadline
Feb 17, 2026
Camera-ready Submission
Mar 15, 2026
Early Bird Registration
Mar 16, 2026
Late Registration
Mar 21, 2026
Conference Dates
Apr 17-18, 2026
About PIET
Poornima Institute of Engineering & Technology - A Premier Institution in Engineering Education


Poornima Institute of Engineering & Technology, Jaipur, PIET, a premier institution in engineering education was established in the academic year 2007. PIET is affiliated to Rajasthan Technical University and approved by AICTE.
The institution aims at providing world-class technical and scientific education that can develop a professional outlook in every walk of life. PIET has been continuously striving for excellence in engineering education and research.
Key Achievements:
1st institution to offer B.Tech CSE in Regional language
Only institute in Rajasthan funded by AICTE with Rs. 55 Lakh for IDEA Lab
Granted Rs. 12.84 Lakh for Neural Network & Deep Learning Lab under MODROB Scheme
Received research grants of more than Rs. 50 Lakh in 2019-20 & 2020-21
NAAC Accredited
Accredited by National Assessment and Accreditation Council
PLATINUM Rating
Rated PLATINUM in AICTE-CII Survey of Industry Linked Technical Institutes
NBA Accredited
B.Tech CSE and Civil Engineering programs accredited by NBA
3rd in QIV Ranking
Ranked 3rd in Quality of Infrastructure and Viability ranking
Founded in 2021
Vision
To expand and further the research, education and outreach activities in the areas of data science and artificial intelligence, becoming a world leader in data science research where long-standing fundamental research problems across multiple disciplines are targeted and solved.
Mission
To develop technocrats in the domain of emerging technology by making them ethical professionals with innovative knowledge and scientific temper to enrich society and face global challenges in AI and data science.
Research Areas
About ICRACS
International Conference on Recent Advances in Artificial Intelligence, Computer Vision & Smart Systems
ICRACS2026 focuses on the revolutionary applications of Artificial Intelligence, Computer Vision, and Smart Systems in emerging technologies. The conference addresses the critical integration of AI techniques including deep learning, machine learning, pattern recognition, natural language processing, and computer vision in smart city infrastructure, industrial automation, and energy systems.
The conference serves as a premier platform for researchers, academicians, and industry professionals to share innovative AI solutions that enhance efficiency, stability, robustness, and security of smart systems through computational intelligence paradigms. With IEEE CIS technical co-sponsorship, ICRACS2026 maintains the highest standards of technical excellence and global reach.
Beyond traditional paper presentations, the conference features specialized workshops on “Computational Intelligence for Sustainable Energy Systems” and panel discussions on “Neural Networks for Computer Vision”, creating a comprehensive platform for knowledge exchange and collaboration across the global CIS community.
Key Focus Areas
Neural Networks and Deep Learning Applications
Deep learning architectures, neural network optimization, convolutional and recurrent networks, transformers, and generative models
Computer Vision and Pattern Recognition
Object detection and recognition, image processing, video analysis, medical imaging, biometric systems, and 3D vision
Smart Systems and IoT Applications
Intelligent IoT systems, smart city infrastructure, industrial automation, energy management, and cyber-physical systems
Computational Intelligence for Security
AI-driven cybersecurity, privacy-preserving machine learning, adversarial systems, and intelligent threat detection
*Publication & Technical Partners
Collaborating with leading organizations for academic excellence and research dissemination
*Publication Partners

AIP Publishing
American Institute of Physics Publishing

CRC Press
Taylor & Francis Group

International Journal of Technology and Engineering
IJTE Publication
*Technical Partners

IEEE
Institute of Electrical and Electronics Engineers

ACM
Association for Computing Machinery