⭐️ Have you ever wondered just how long a single light-day can be?
On November 13, 2025, the Voyager 1 probe, the human-made object that has traveled the farthest from Earth, marks a symbolic anniversary that answers this question perfectly.
After 50 years of continuous flight, it has covered a distance equal to just one light-day. This means a signal from Earth, traveling at the speed of light, would need only a single day to catch up with the spacecraft humanity launched half a century ago.
But any long journey begins with an understanding of one's own home. This is precisely the task being undertaken by a team of scientists from Skoltech, under the scientific leadership of Associate Professor, Head of the Skoltech Engineering Center Tatiana Podladchikova. Her team studies the solar space weather, orbital mechanics, and spacecraft mission design, thereby laying the groundwork for future expeditions. The kind that will one day cover the distances we can only imagine today.
On November 13, 2025, the Voyager 1 probe, the human-made object that has traveled the farthest from Earth, marks a symbolic anniversary that answers this question perfectly.
After 50 years of continuous flight, it has covered a distance equal to just one light-day. This means a signal from Earth, traveling at the speed of light, would need only a single day to catch up with the spacecraft humanity launched half a century ago.
But any long journey begins with an understanding of one's own home. This is precisely the task being undertaken by a team of scientists from Skoltech, under the scientific leadership of Associate Professor, Head of the Skoltech Engineering Center Tatiana Podladchikova. Her team studies the solar space weather, orbital mechanics, and spacecraft mission design, thereby laying the groundwork for future expeditions. The kind that will one day cover the distances we can only imagine today.
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🎉 Time to celebrate!
Milena Gazdieva, a research engineer at the Skoltech Artificial Intelligence Center, has won the Yandex ML Prize award in the category for early-career faculty members!
At Skoltech, Milena teaches a course on generative AI, and her research interests lie in generative models based on optimal transport theory. A project based on one of these models was developed by participants of the 2024 Skoltech SMILES Summer School. The team won the award for best project among online participants.
The course developed with her participation covers both classical topics (Gaussian mixture models, variational autoencoders, etc.) and modern flow-based models — from fundamental principles to current research directions.
The Yandex ML Prize has been awarded annually since 2019 and aims to support teachers and researchers in the field of AI and machine learning. The winners receive monetary awards, grants to use the Yandex Cloud platform, and access to Yandex 360 services.
👏 Congratulations to Milena, and we wish her inspiration for new scientific and educational achievements!
Milena Gazdieva, a research engineer at the Skoltech Artificial Intelligence Center, has won the Yandex ML Prize award in the category for early-career faculty members!
At Skoltech, Milena teaches a course on generative AI, and her research interests lie in generative models based on optimal transport theory. A project based on one of these models was developed by participants of the 2024 Skoltech SMILES Summer School. The team won the award for best project among online participants.
"I am very happy that the award committee valued my teaching activities and my contribution to the development of courses on generative AI so highly. It all started with a mini-course that I helped develop and deliver at the Yandex School of Data Analysis in 2023. Then, in 2024, with my participation, this course was gradually refined and improved: in different versions, it was taught at several institutions and summer schools — for example, at the Skoltech SMILES Machine Learning Summer School. Finally, in the spring of 2025, we developed the course into Skoltech's first large-scale course on generative AI," said Milena.
The course developed with her participation covers both classical topics (Gaussian mixture models, variational autoencoders, etc.) and modern flow-based models — from fundamental principles to current research directions.
The Yandex ML Prize has been awarded annually since 2019 and aims to support teachers and researchers in the field of AI and machine learning. The winners receive monetary awards, grants to use the Yandex Cloud platform, and access to Yandex 360 services.
👏 Congratulations to Milena, and we wish her inspiration for new scientific and educational achievements!
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👏 Distinguished Professor Artem R. Oganov named among the world’s top researchers for the third time
Clarivate reports that only one in a thousand researchers is included in this ranking. To qualify, researchers must have several publications ranked in the top 1% in their field according to citations in the Web of Science over the past 11 years. They must also comply with several other strict criteria based on a thorough analysis and expert assessments by the U.S. Institute for Scientific Information.
On November 14, Artem and his colleagues presented USPEX 25, a new version of the algorithm combining machine learning and fundamental physics. USPEX 25 can be used for cutting-edge research on a standard computer, even without access to a supercomputer.
Clarivate reports that only one in a thousand researchers is included in this ranking. To qualify, researchers must have several publications ranked in the top 1% in their field according to citations in the Web of Science over the past 11 years. They must also comply with several other strict criteria based on a thorough analysis and expert assessments by the U.S. Institute for Scientific Information.
Artem R. Oganov: “2025 has been a very successful year for me and my lab. This ranking recognizes all my students and colleagues as well. I am very happy doing the work I love in my own country and collaborating with such a brilliant team.”
On November 14, Artem and his colleagues presented USPEX 25, a new version of the algorithm combining machine learning and fundamental physics. USPEX 25 can be used for cutting-edge research on a standard computer, even without access to a supercomputer.
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⭐️ The Industrial Immersion Excellence Award was presented to the MSc students for their summer work on real-world tasks at one of our partner companies — we will cover each of these stories separately.
We are opening the series with the internship recognized as the best from the "Advanced Manufacturing Technologies" Master's program. Gleb Zhdanko completed his internship at B&B Industries, where he worked on calculating the power output of a wind turbine with custom blades.
The student noted that the simulation results showed an error of less than 5% within the turbine's operational range, confirming the high reliability of the calculations.
#IndustrialImmersion
We are opening the series with the internship recognized as the best from the "Advanced Manufacturing Technologies" Master's program. Gleb Zhdanko completed his internship at B&B Industries, where he worked on calculating the power output of a wind turbine with custom blades.
"For the calculations, I used OpenFAST—an open-source software package for the numerical simulation of turbines," Gleb explained. "This approach significantly accelerates the development of new wind turbines by allowing for rapid assessment of how changes in blade profiles affect turbine efficiency. As a result, the number of necessary, costly full-scale tests is substantially reduced."
The student noted that the simulation results showed an error of less than 5% within the turbine's operational range, confirming the high reliability of the calculations.
#IndustrialImmersion
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🎉 Time to celebrate!
Junior Research Scientist Dmitrii Kryukov from the Bio Center of Skoltech received the Best Pitch Award at the 3rd Healthy Longevity Symposium, which was dedicated to the challenges of aging.
The symposium, held in Abu Dhabi, was hosted by Khalifa University and organized in partnership with the Nature Conferences’ "Measuring Healthy Aging" event.
At the symposium, Dmitrii presented a poster on developing a methodology for biological age prediction using Large Health Models (LHM) — artificial intelligence trained on large volumes of medical data.
We wish Dmitrii continued success in his future research and hope his work earns well-deserved recognition from colleagues worldwide! 👏
Junior Research Scientist Dmitrii Kryukov from the Bio Center of Skoltech received the Best Pitch Award at the 3rd Healthy Longevity Symposium, which was dedicated to the challenges of aging.
The symposium, held in Abu Dhabi, was hosted by Khalifa University and organized in partnership with the Nature Conferences’ "Measuring Healthy Aging" event.
At the symposium, Dmitrii presented a poster on developing a methodology for biological age prediction using Large Health Models (LHM) — artificial intelligence trained on large volumes of medical data.
We wish Dmitrii continued success in his future research and hope his work earns well-deserved recognition from colleagues worldwide! 👏
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⭐️ A new week brings a new story about one of the best industrial immersions of Skoltech students.
Our series of publications continues with a feature on the top internship project in the Next Generation Communication Technologies master’s program. The author, Alexander Shmatok, completed his internship at Heliosoft, where he worked on predicting user error vector magnitude in signals transmitted from 5G base stations operating in multi-user mode.
He noted that by applying mathematical theorems, he managed to establish a relationship between user data and the error rate, successfully predicting it with an accuracy of over 80% (a margin of error no greater than 20%).
#IndustrialImmersion
Our series of publications continues with a feature on the top internship project in the Next Generation Communication Technologies master’s program. The author, Alexander Shmatok, completed his internship at Heliosoft, where he worked on predicting user error vector magnitude in signals transmitted from 5G base stations operating in multi-user mode.
"When there are many users, one user's signal can interfere the signal for another," Alexander explained. "For a base station to operate efficiently, it's necessary to predict the error vector magnitude for each user based on their location and signal power. This is crucial for optimizing the selection of error-correcting codes."
He noted that by applying mathematical theorems, he managed to establish a relationship between user data and the error rate, successfully predicting it with an accuracy of over 80% (a margin of error no greater than 20%).
#IndustrialImmersion
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📸 The Skoltech Student Council organized an excursion to the Joint Institute for Nuclear Research (JINR) in Dubna.
During the visit, master's and phd students immersed themselves in the Institute's scientific life: they learned about educational programs and cutting-edge research, and visited an interactive exhibition of JINR projects.
The students were particularly impressed by the tour of the NICA collider, where they examined in detail the Multi-Purpose Detector (MPD), designed for experiments with heavy-ion collisions.
We thank the engineers and staff of JINR for a fascinating and insightful day!
During the visit, master's and phd students immersed themselves in the Institute's scientific life: they learned about educational programs and cutting-edge research, and visited an interactive exhibition of JINR projects.
The students were particularly impressed by the tour of the NICA collider, where they examined in detail the Multi-Purpose Detector (MPD), designed for experiments with heavy-ion collisions.
We thank the engineers and staff of JINR for a fascinating and insightful day!
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