Young Scientists from Dagestan Awarded Presidential Scholarships

19.05.2026 16:02
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Young Scientists from Dagestan Awarded Presidential Scholarships

MAKHACHKALA, May 19 – RIA Dagestan. Four researchers representing Dagestan have been named winners of the competition for Presidential Scholarships of the Russian Federation for postgraduate students and adjuncts. The competition is organized by the Ministry of Science and Higher Education of the Russian Federation. In 2026, a total of 800 young scientists from 79 regions of the country were selected from among 6,000 applicants. The monthly stipend amounts to RUB 75,000 and is awarded for a period ranging from 1 to 4 years.

Three of the winners are affiliated with Dagestan State University: Rashid Gyulakhmedov, Abdulatip Shuaibov (from the Smart Materials Laboratory at DSU) and Anvar Kalybardeev (a graduate of the Faculty of Physics at DSU, currently a researcher at Dagestan Federal Research Center of the Russian Academy of Sciences).

Rashid Gyulakhmedov and Abdulatip Shuaibov conduct their research under the supervision of Farid Orudjev, Candidate of Chemical Sciences. Their work focuses on developing next-generation functional materials, piezo- and photocatalytic systems, as well as hybrid magneto-piezoelectric materials for environmental and energy applications. As noted, such research areas are currently forming the foundation of the country's technological leadership.

Another laureate is Aida Gadzhiahmedova, a native of Makhachkala and postgraduate student at Sechenov University. She graduated with honors, continues her studies in postgraduate programs and works as a research scientist at the Institute of Personalized Cardiology. Her area of expertise is cardiology.

Aida Gadzhiahmedova described one of the institute's developments—a portable electrocardiograph called "CardioCard": "The patient places two fingers on the device, and within a minute, the algorithm generates a diagnosis. Using a simple single-channel ECG, a neural network calculates complex indicators of cardiac function. The algorithm detects systolic dysfunction with 91% accuracy and diastolic dysfunction with up to 96.5% accuracy".

Источники: РИА «Дагестан»
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