SMART‑AI 2026KCCILHE · GGSIPU Affiliated
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SMART‑AI 2026KCCILHE · GGSIPU Affiliated
Register →
International Conference on Sustainable Development, Machine Learning, Advancing Applications, Responsible Security with Technological Innovations — hosted by the School of Information Technology, KCC Institute of Legal & Higher Education, affiliated to Guru Gobind Singh Indraprastha University.
Built across a 40‑acre campus in Greater Noida, KCCILHE has set a high bar for infrastructure and post‑secondary education. The Institute offers undergraduate programmes in BBA, BCA, BA‑JMC, B.Com (H), BA‑LLB (H) and BBA‑LLB (H), all affiliated to Guru Gobind Singh Indraprastha University.
Established in 1998 by the Government of Delhi as a teaching‑cum‑affiliating university, GGSIPU is recognised under Section 12B of the UGC Act and graded A++ by NAAC. It is a member of the Association of Commonwealth Universities, the Association of Indian Universities, the Medical Council of India, and the Distance Education Council. English is the medium of instruction throughout.
SMART‑AI 2026 is a platform for researchers, academicians and industry professionals to exchange ideas on how artificial intelligence, machine learning and advanced technologies are reshaping industry — while confronting the security challenges that come with it. Intelligent and secure systems are enabling smarter solutions and a more connected, data‑driven world.
The stakes are not only technical. Machine learning and AI drive automation, sharpen decision‑making and open new business models — while advances in health, education and infrastructure improve quality of life at scale. Alongside that growth, cybersecurity and ethical implementation have become non‑negotiable: predictive threat detection and responsible AI practice are what keep digital ecosystems trustworthy.
From climate and energy to disaster management and sustainable development, AI and security technologies increasingly sit at the centre of the world's hardest coordination problems. SMART‑AI 2026 brings together finance, agriculture, defence and education researchers to discuss these transformative trends and the interdisciplinary work required to meet them.
Explore recent advancements and practical applications of AI and ML across healthcare, education, finance, defence and smart infrastructure.
Provide a collaborative platform for researchers, academicians and industry professionals to exchange findings across Machine Learning, AI, emerging technologies and security systems.
Identify and discuss the opportunities, challenges and ethical implications of adopting intelligent, secure technologies.
Promote interdisciplinary research and collaboration between academia, research institutions and industry for sustainable technological growth.
Deepen understanding of advanced security mechanisms, cyber threat detection and privacy‑preserving AI frameworks.
Encourage young researchers and scholars to contribute solutions to real‑world problems through AI, ML and advanced technologies.
Foster discussion on how emerging technologies can support global development goals while ensuring ethical, responsible use.
Build awareness of data security, digital trust and technological resilience in an era of rapid digital transformation.
Original, thought‑provoking research is invited from academicians, researchers, students and corporate experts across any of the following.
Thought‑provoking and original research papers offering fresh insight or radically different views are invited from academicians, researchers, students and corporate experts working across AI, ML, data and security.
Detailed instructions for authors on formatting, structure, citations and originality. Tap a heading to expand it.
All papers must be original and not simultaneously submitted to another journal or conference. Manuscripts must adhere to the official sample template. The decision of the organisers on acceptance is final and binding.
The official SMART‑AI 2026 flyer — themes, important dates, registration fees and contact details at a glance.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided free of charge by Microsoft, which also bore all associated expenses, including costs for Azure cloud services, software development, and technical support.
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