Low-power Hybrid Energy Harvesting System Based on the Joint Operation of Glucose Biofuel Cells and Thermoelectric Generator. - Daria Gazizova; Aleksei Shcherbak; Pavel M. Gotovtsev; Yulia Parunova; Sergei Vostrikov; Andrey Somov (IECON, 2021)

Defining Optimal Exercises for Efficient Detection of Parkinson's Disease Using Machine Learning and Wearable Sensors. - Aleksandr Talitckii; Anna Anikina; Ekaterina Kovalenko; Aleksei Shcherbak; Oscar Mayora; Olga Zimniakova; Ekaterina Bril; Maxim Semenov; Dmitry V. Dylov; Andrey Somov (IEEE Trans. Instrum. Meas., 2021)

Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson's Disease. - Aleksandr Talitckii; Ekaterina Kovalenko; Aleksei Shcherbak; Anna Anikina; Ekaterina Bril; Olga Zimniakova; Maxim Semenov; Dmitry V. Dylov; Andrey Somov (IEEE Trans. Instrum. Meas., 2022)

Dominant Hand Invariant Parkinson's Disease Detection Using 1-D CNN Model and STFT-based IMU Data Fusion. - Aleksei Shcherbak; Ekaterina Kovalenko; Ekaterina Bril; Anna Baldycheva; Andrey Somov (ISIE, 2023)

MorphoLander: Reinforcement Learning Based Landing of a Group of Drones on the Adaptive Morphogenetic UAV. - Sausar Karaf; Aleksey Fedoseev; Mikhail Martynov; Zhanibek Darush; Aleksei Shcherbak; Dzmitry Tsetserukou (SMC, 2023)

SwarmGear: Heterogeneous Swarm of Drones with Reconfigurable Leader Drone and Virtual Impedance Links for Multi-Robot Inspection. - Zhanibek Darush; Mikhail Martynov; Aleksey Fedoseev; Aleksei Shcherbak; Dzmitry Tsetserukou (CoRR, 2023)

LLM-MARS: Large Language Model for Behavior Tree Generation and NLP-enhanced Dialogue in Multi-Agent Robot Systems. - Artem Lykov; Maria Dronova; Nikolay Naglov; Mikhail Litvinov; Sergei Satsevich; Artem Bazhenov; Vladimir Berman; Aleksei Shcherbak; Dzmitry Tsetserukou (CoRR, 2023)

Detection and Classification of Early Stages of Parkinson's Disease Through Wearable Sensors and Machine Learning. - Aleksei Shcherbak; Ekaterina Kovalenko; Andrey Somov (IEEE Trans. Instrum. Meas., 2023)

Wearable Sensors and Machine Learning Fusion for Parkinson's Disease Assessment. - Mohammed Hammoud; Aleksei Shcherbak; Melaku N. Getahun; Olga Istrakova; Nataliya Shindryaeva; Olga Zimniakova; Ekaterina Bril; Maxim Semenov; Anna Baldycheva; Andrey Somov (I2MTC, 2024)

Wrist-Worn Sensors and Machine Learning for Parkinson's Disease Detection: Investigation of Binary and Multiclassification Problem. - Mohammed Hammoud; Aleksei Shcherbak; Olga Istrakova; Nataliya Shindryaeva; Ekaterina Bril; Roberto Passerone; Andrey Somov (IEEE Trans. Instrum. Meas., 2025)