DR. M.G.R. EDUCATIONAL AND RESEARCH INSTITUTE (DEEMED TO BE UNIVERSITY), OFF CAMPUS - ARNI | NAAC A+ ACCREDITED | UNIVERSITY STATUS | CONTACT: NO. 191, ARCOT ROAD, ACS NAGAR, IRUMBEDU ARNI - 632317
ABOUT THE CONFERENCE
(ARNI OFF CAMPUS)
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The 3-Day International Conference on "SYNERGIZING ARTIFICIAL INTELLIGENCE AND CLASSICAL RESEARCH IN BIOSCIENCES, ENGINEERING AND MATERIAL SCIENCE" - ELEVATE-2026 is conceived as a premier global forum to bring together researchers, academicians, scientists, industry professionals, and young innovators to exchange knowledge and showcase cutting-edge research outcomes.
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It is a multi-disciplinary forum designed to bridge the gap between traditional scientific methodologies and rapidly evolving field of AI.
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The 2026 edition of this conference is typically structured to move beyond simple AI applications but instead focus on trustworthy discoveries.
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The primary goal is to foster an ecosystem where the rigor of classical research meets the predictive power of AI.
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The interdisciplinary theme is believed to break silos between biologists, material scientists and software engineers, spanning fundamental research to practical applications.
IN ASSOCIATION WITH
ABOUT THE UNIVERSITY
(ARNI OFF CAMPUS)
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Dr. M.G.R. Educational & Research Institute (Deemed to be University), accredited with NAAC A+ grade, has established its Arni Off-Campus in Tiruvannamalai District, Tamil Nadu.
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The campus spans 250,000 sq. ft. with modern infrastructure, library, hostels, and student amenities.
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We offer UG, PG, and research programs across Engineering, Arts & Science, Commerce,Management, Physiotherapy and Allied Health Sciences.
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The campus focuses on holistic education, innovation, and research to meet industry needs.
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Located at ACS Nagar, Irumbedu, Arni, it provides excellent academic and professional opportunities.
EXPECTED OUTCOMES
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Publication opportunities: Selected high quality papers will be published in Scopus indexed IEEE Xplore Digital Library through our associated conference partners and publishers (Scopus indexed) with additional cost. journals or conference proceedings (Springer, IEEE, Elsevier)
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Collaborative network among research community.
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Establishing open science networks where data from classical experiments is shared to train more robust Al models between researchers and engineers.
