According to the latest results of the ShanghaiRanking Global Ranking of Academic Subjects (GRAS) 2026, the University of Tehran, with presence in 21 specialized disciplines, is among Iran’s most represented and top universities in this global subject ranking.
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Researchers at the Faculty of Electrical and Computer Engineering, College of Engineering, University of Tehran, using artificial intelligence, have presented a method for more accurate identification of the location of insulation faults in power generator windings and estimation of their severity—a method that can help with early detection of damage and prevent costly failures in power generation equipment.
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Researchers at the College of Interdisciplinary Sciences and Technologies, University of Tehran, have successfully designed and fabricated novel biological scaffolds for bone injury repair. By employing green-synthesized carbon dots and 3D printing technology, they have taken an effective step toward personalized regenerative medicine.
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The results of five years of sustained joint research by the archaeology group of the University of Tehran and the Institute of Archaeology of the University of Warsaw on human skeletal remains from the Iron Age II and III cemetery (c. 1100–750 BCE) at Qareh Tepe, Sagzabad, have been published in three scientific articles in reputable international journals. These achievements, obtained through the most precise laboratory methods of archaeometry, transform the traditional picture and previous hypotheses concerning the social structure, diet, and mobility of communities on the Central Iranian Plateau on the eve of the formation of the Median Empire. According to the Public Relations Office of the University of Tehran, this international project was co-directed by Dr. Mostafa Dehpahlavan, faculty member of t
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A group of researchers and students from the University of Tehran have designed a comprehensive game-based learning platform for elementary school students.
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Researchers at the University of Tehran have developed a new framework based on federated learning, offering a solution to enhance the security and stability of artificial intelligence systems in brain MRI image analysis. The method enables collaboration among multiple centers in training AI models without transferring patients’ raw data, while simultaneously identifying suspicious and malicious information sent by participating centers and reducing its impact.
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Researchers at the University of Tehran have significantly improved the accuracy of water quality simulation in a deep, stratified reservoir.
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The International Journal of Environmental Research (IJER), affiliated with the Faculty of Environment at the University of Tehran, recorded a 22.9% increase in its Impact Factor compared with 2024, reaching an Impact Factor of 4.3.
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University of Tehran Researchers Present a Practical Method for Estimating Rock Mass Strength and Representative Element Volume at Real-World Scales
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A faculty member at the College of Science, University of Tehran, has succeeded, by presenting precise formulas, in determining the conditions for stability and the existence of invariant tori in the well-known FitzHugh–Nagumo neural excitation model—behaviors that had not previously been detectable in numerical simulations.
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The University of Tehran Science and Technology Park made a significant and purposeful appearance at the 29th International Exhibition of Electronics, Computers, and E-Commerce (Elcomp), featuring active participation from technology companies and teams, hosting high-ranking state officials, expanding engagement with key institutions, signing strategic memoranda of understanding, and showcasing its latest technological achievements.
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