Achievements

University of Tehran Among World’s Top 450

University of Tehran Among World’s Top 450

In the latest edition of the Times Higher Education (THE) World University Rankings, released for 2027, the University of Tehran has been placed in the 401–450 global band and among the world’s top 450 universities.

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Identification of Power Generator Faults with 84% Accuracy

Identification of Power Generator Faults with 84% Accuracy

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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Existing Hypotheses About the Iranian Plateau Before the Formation of the Median Empire Are Revised

Existing Hypotheses About the Iranian Plateau Before the Formation of the Median Empire Are Revised

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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New Solution by University of Tehran Researchers to Enhance AI Security in Brain MRI Analysis

New Solution by University of Tehran Researchers to Enhance AI Security in Brain MRI Analysis

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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