The 28th “Digital Signal Processing and its Applications” International Conference (DSPA-2026) has wrapped up in Moscow. The event has brought together researchers from Russia, Belarus, Vietnam, India, Turkey, the United States, and Syria, as well as industry representatives including Rosatom, Rostec, and Yandex.
A young researcher Dmitry Galyshev, a staff member of the Research Laboratory for Self-Validating Sensors, Systems, and Advanced Instrumentation, and Master’s degree student of the Department of Applied Mathematics and Programming was one of the active conference participants, who delivered two presentations.
Dmitry’s first presentation focused on the diagnostics of permanent magnet synchronous motors used in industrial robots. His second presentation addressed accelerating a diagnostic method for induction motors. The proposed approach, based on shifting the signal by a quarter of its period, proved to be seven times faster than classical methods while maintaining accuracy.
According to Dmitry, the key features of the DSPA international forum are the high level of plenary presentations (covering such topics as voice biometrics and deep learning) and the atmosphere of an open dialogue. Despite the fact that the conference brought together students, postgraduates, and doctors of sciences in joint sessions, young scientists felt comfortable: experienced colleagues actively offered recommendations and helped them view problems from new perspectives.
“It felt a bit intimidating to realize that I was almost the only student among postgraduates who were ready for their defences, but this actually helped me assess the level of my research,” the young scientist shared.
Among the most important trends of DSPA-2026, Dmitry highlighted discussions on future Wi-Fi standards and the role of efficient neural networks. Topics included both model optimization, for example, in audio and video analysis (where models are currently too “heavy”), and improving efficiency through well-designed data pre-processing.
“Conferences like DSPA are a great opportunity to gain experience, evaluate your work, receive feedback from leading scientists, and possibly discover that your problem has already been solved in a related field — allowing you to learn the best practices,” Dmitry concluded. “Overall, the 28th DSPA-2026 conference, held under the banner of digital signal processing, confirmed its status as a platform where science meets the real sector of the economy. The participation of industry representatives (Rosatom, Rostec, Yandex) gave strong practical relevance to the discussions.”
Following the results of the conference, for his two reports, Dmitry Galyshev was awarded a certificate of participant of the 28th “Digital Signal Processing and its Applications” International Conference (DSPA-2026).