andreysomov



Personal Websites

Andrey Somov

Associate Professor
Center for Digital Engineering

Dr. Andrey Somov is an Associate Professor at the Skolkovo Institute of Science and Technology (Skoltech), Russia. He graduated from the Russian State Aviation Technological University (MATI), Russia, with an honours degree in Electronic Engineering (2006). It was followed by employment as an Electronics Engineer in space technologies at the VNIIEM Corporation, Russia. After acquiring industrial experience Andrey focused on applied research and in 2006 was awarded a PhD scholarship at the University of Trento, Italy. In 2008 he was invited by the University of California, Berkeley, as a visiting scholar to join Prof. Jan Rabaey’s team dealing with energy efficient sensor networks. Dr. Somov received his PhD in Electronic Engineering (2009) from the University of Trento, Italy, having specialized in power management in wireless sensor networks (WSN) under the supervision of Prof. Roberto Passerone.

During his PhD course at the University of Trento Dr. Somov was leading an independent research project on energy harvesting for sensor networks as a principal investigator of the research grant funded by Caritro Foundation, Italy (2009).

Before joining Skoltech (2017) as an Assistant Professor, he had worked as a Senior Researcher for CREATE-NET Research Center, Italy (2010-2015) and as a Research Fellow for the University of Exeter, UK (2016-2017). His research interests covered power management for WSN and Internet of Things (IoT) devices, cognitive IoT and associated proof-of-concept implementation.

Dr. Somov has published more than 100 papers for peer-reviewed international journals and conferences. He has delivered a number of invited talks at Berkeley Wireless Research Center, IDTechEx event, Luxembourg SnT Interdisciplinary Centre, Nike. He has been General Chair of the 6th International Conference on Sensor Systems and Software (S-Cube’15), the ‘IoT360’ Summer School on the Internet of Things in 2014 and 2015. Andrey holds some awards in the fields of WSN and IoT including the Google IoT Technology Research Award (2016) and Best Paper Award at IEEE IoP (2019).

My research focuses broadly on wireless sensor networks and wearable electronics in the scope of Internet of Things. In particular, I am interested in:
– power management, low power design, energy harvesting and anything related to this topic,
– intelligent sensing using ML/DL,
– application and deployment (eSports, biomedical, precision agriculture, smart-X applications).

Book Chapters

1. A. Menshchikov, A. Somov, Aerial Robotics for Precision Agriculture: Weeds Detection through UAV and Machine Vision, pp. 23-51. In: O. Sergiyenko (eds.), Optoelectronic Devices in Robotic Systems. Springer, Cham, 2022. https://doi.org/10.1007/978-3-031-09791-1_2

Journal Articles 

41. I. Koshelev, M. Savinov, A. Menshchikov, A. Somov, Drone-aided Detection of Weeds: Transfer Learning for Embedded Image Processing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, pp. 1-10, 2022. In press, doi: 10.1109/JSTARS.2022.3224657

40. E. Kovalenko, A. Shcherbak, A. Somov, E. Bril, O. Zimniakova, M. Semenov, A. Samoylov, Detecting the Parkinson’s Disease Through the Simultaneous Analysis of Data From Wearable Sensors and Video. IEEE Sensors Journal, 22: 16430-16439, 2022. doi: 10.1109/JSEN.2022.3191864.

39. A. Smerdov, A. Somov, E. Burnaev, A. Stepanov, AI-enabled Prediction of Video Game Player Performance Using the Data from Heterogeneous Sensors. Multimedia Tools and Applications, pp. 1-30, 2022. https://doi.org/10.1007/s11042-022-13464-0

38. A. Talitckii, E. Kovalenko, A. Shcherbak, A. Anikina, E. Bril, O. Zimniakova, M. Semenov, D. Dylov, A. Somov, Comparative Study of Wearable Sensors, Video, and Handwriting to Detect Parkinson’s Disease. IEEE Transactions on Instrumentation and Measurement. 71: 1-10, 2022.

37. S. Nesteruk, S. Illarionova, T. Akhtyamov, D. Shadrin, A. Somov, M. Pukalchik, I. Oseledets, XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation, IEEE Access. 10: 24010-24028, 2022. doi: 10.1109/ACCESS.2022.3154709.

36. A. Lange, A. Somov, A. Stepanov and E. Burnaev, Building a Behavioral Profile and Assessing the Skill of Video Game Players. IEEE Sensors Journal. 22:481-488, 2022. doi: 10.1109/JSEN.2021.3127083.

35. S. Abramov, A. Korotin, A. Somov, E. Burnaev, A. Stepanov, D. Nikolaev, M. Titova, Analysis of Video Game Players’ Emotions and Team Performance: an eSports Tournament Case Study. IEEE Journal of Biomedical and Health Informatics. 26: 3597-3606, 2022. doi: 10.1109/JBHI.2021.3119202.

34. A. Smerdov, A. Somov, E. Burnaev, B. Zhou, P. Lukowicz, Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning. IEEE Internet of Things Journal. 8: 16680-16691, 2021, doi: 10.1109/JIOT.2021.3074740.

33. A. Talitckii, A. Anikina, E. Kovalenko, A. Shcherbak, O. Mayora, O. Zimniakova, E. Bril, M. Semenov, D.V. Dylov, A. Somov, Defining Optimal Exercises for Efficient Detection of Parkinson’s Disease Using Machine Learning and Wearable Sensors. IEEE Transactions on Instrumentation and Measurement. 70: 1-10, 2021, Art no. 2512010, doi: 10.1109/TIM.2021.3097857.

32. S. Vostrikov, A. Somov, P. Gotovtsev, M. Magno, Comprehensive Modelling Framework for Low Temperature Gradient Thermoelectric Generator. Energy Conversion and Management. 247: 114721, 2021.

31. A. Menshchikov, D. Shadrin, V. Prutyanov, D. Lopatkin, S. Sosnin, E. Tsykunov, E. Iakovlev, A. Somov, Real-time Detection of Hogweed: UAV Platform Empowered by Deep Learning. IEEE Transactions on Computers. 70: 1175-1188, 2021.

30. E. Kovalenko, A. Talitckii, A. Anikina, A. Shcherbak, O. Zimniakova, M. Semenov, E. Bril, D. Dylov, A. Somov, Distinguishing Between Parkinson’s Disease and Essential Tremor Through Video Analytics Using Machine Learning: a Pilot Study. IEEE Sensors Journal. 21:  11916-11925, 2021.

29. S. Nesteruk, D. Shadrin, M. Pukalchik, A. Somov, C. Zeidler, P. Zabel, D. Schubert, Image Compression and Plants Classification Using Machine Learning in Controlled-Environment Agriculture: Antarctic Station Use Case. IEEE Sensors Journal. 21: 17564-17572, 2021.

28. A. Talitckii, E. Kovalenko, A. Anikina, O. Zimniakova, M. Semenov, E. Bril, A. Shcherbak, D. Dylov, A. Somov, Avoiding Misdiagnosis of Parkinson’s Disease with the Use of Wearable Sensors and Artificial Intelligence. IEEE Sensors Journal. 21: 3738-3747, 2021.

27. D. Shadrin, A. Menshchikov, A. Somov, G. Bornemann, J. Hauslage, M. Fedorov, Enabling Precision Agriculture through Embedded Sensing with Artificial Intelligence. IEEE Transactions on Instrumentation & Measurement. 69: 4103-4113, 2020.

26. Yu.V. Plekhanova, S.E. Tarasov, A.S. Somov, D.S. Bol’shin, M.V. Vishnevskaya, P.M. Gotovtsev, A.N. Reshetilov, Microsize Energy Sources for Implantable and Wearable Medical Devices. Nanotechnologies in Russia. 14: 511-522, 2019. doi: 10.1134/S1995078019060144.

25. Ю. В. Плеханова, С. Е. Тарасов, А. С. Сомов, Д. С. Большин, М. В.  Вишневская, П. М. Готовцев, А. Н. Решетилов. Микроразмерные источники энергии для имплантируемых и носимых медицинских устройств. Российские нанотехнологии, том 14, № 11-12, с.3-14, 2019.

24. S. Vostrikov, A. Somov, P. Gotovtsev. Low Temperature Gradient Thermoelectric Generator: Modelling and Experimental Verification. Applied Energy. 255: 113786,  2019.

23. D. Shadrin, A. Menshchikov, D. Ermilov, A Somov. Designing Future Precision Agriculture: Detection of Seeds Germination Using Artificial Intelligence on a Low-Power Embedded System. IEEE Sensors Journal. 19: 11573-11582, 2019.

22. N. Khromov, A. Korotin, A. Lange, A. Stepanov, E. Burnaev, A. Somov. Esports Athletes and Players: a Comparative Study. IEEE Pervasive Computing Magazine. 18: 31-39, 2019.

21. A. Menshchikov, A. Somov. Morphing Wing with Compliant Aileron and Slat for Unmanned Aerial Vehicles. Physics of Fluids. 31: 037105, 2019. DOI: 10.1063/1.5086976.

20. A. Somov, D. Shadrin, I. Fastovets, A. Nikitin, S. Matveev, I. Oseledets, O. Hrinchuk. Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. IEEE Pervasive Computing Magazine. 17: 65-75, 2018.

19. A. Somov, A. Baraev. Consist-to-Consist Communications in the Trains: Is it Time to Use Ultra Wide-Band? Computers and Electrical Engineering. 72: 965-975, 2018.

18. A. Somov, A. Karelin, A. Baranov, S. Mironov. Estimation of a gas mixture explosion risk by measuring the oxidation heat within a catalytic sensor. IEEE Transactions on Industrial Electronics. 64: 9691-9698, 2017.

17. V. Lebedev, E. Laukhina, V. Laukhin, A. Somov, A. M. Baranov, C. Rovira, J. Veciana. Investigation of sensing capabilities of organic bi-layer thermistor in wearable e-textile and wireless sensing devices. Organic Electronics. 42: 146-152, 2017.

16. E. Medvedeva, A. Baranov, A. Somov. Design and investigation of thin film nanocomposite electrodes for electrochemical sensors. Sensors and Actuators: B. Chemical. 236: 858-864, 2016.

15. D. Spirjakin, A. Baranov, A. Somov, V. Sleptsov. Investigation of heating profiles and optimization of power consumption of gas sensors for wireless sensor networks. Sensors and Actuators A: Physical. 247: 247-253, 2016.

14. S. Akbari, A. Baranov, A. Somov, D. Spirjakin. Autonomous wireless carbon monoxide sensor node powered by ambient energy sources. Sensors and Systems 2: 48-53, 2016.

13. A. Baranov, D. Spirjakin, S. Akbari, A. Somov, R. Passerone. POCO: ‘Perpetual’ operation of CO wireless sensor node with hybrid power supply. Sensors and Actuators, A: Physical 238: 112-121, 2016.

12. A. Somov, R. Giaffreda. Powering IoT devices: technologies and opportunities. IEEE Internet of Things Newsletter. November 2015.

11. A. Somov, E. F. Karpov, E. Karpova, A. Suchkov, S. Mironov, A. Karelin, A. Baranov, D. Spirjakin. Compact low power wireless gas sensor node with thermo compensation for ubiquitous deployment. IEEE Transactions on Industrial Informatics 11(6): 1660-1670, 2015.

10. A. Somov, A. Baranov, A. Suchkov, A. Karelin, S. Mironov, E. Karpova. Improving interoperability of catalytic sensors. Sensors and Actuators, B: Chemical 221: 1156-1161, 2015.

9. A. Baranov, D. Spirjakin, S. Akbari, A. Somov. Optimization of power consumption for gas sensor nodes: a survey. Sensors and Actuators, A: Physical 233: 279-289, 2015.

8. A. Makeenkov, I. Lapitskiy, A. Somov, A. Baranov. Flammable gases and vapors of flammable liquids: Monitoring with infrared sensor node. Sensors and Actuators, B: Chemical 209: 1102-1107, 2015.

7. C. Dupont, F. Hermenier, T. Schulze, R. Basmadjian, A. Somov, G. Giuliani. Plug4Green: A flexible energy-aware VM manager to fit data centre particularities. Ad Hoc Networks, Special Issue on Energy-Aware Data Centres: Architecture, Infrastructure, and Communication 25(2): 505-519, 2015.

6. A. Somov, A. Baranov, D. Spirjakin, R. Passerone. Circuit design and power consumption analysis of wireless gas sensor nodes: one-sensor versus two-sensor approach. IEEE Sensors Journal 14(6): 2056-2063, 2014.

5. A. Somov, A. Baranov, D. Spirjakin. A wireless sensor-actuator system for hazardous gases detection and control. Sensors and Actuators, A: Physical 210(2014): 157-164, 2014.

4. A. Somov, A. Baranov, D. Spirjakin, A. Spirjakin, V. Sleptsov, R. Passerone. Deployment and evaluation of a wireless sensor network for methane leak detection. Sensors and Actuators, A: Physical 202(11): 217-225, 2013.

3. P. Vlacheas, R. Giaffreda, V. Stavroulaki, D. Kelaidonis, A. Somov, V. Foteinos, G. Poulios, A. R. Biswas, K. Moessner, P. Demestichas. Enabling smart cities through a cognitive management framework for the internet of things. IEEE Communications Magazine 51(6): 102-111, 2013.

2. A. Somov, A. Baranov, A. Savkin, D. Spirjakin, A. Spirjakin, and R. Passerone. Development of wireless sensor network for combustible gas monitoring. Sensors and Actuators, A: Physical 171(2): 398-405, 2011.

1. A. Somov. Wildfire safety with wireless sensor networks. ICST Transactions on Ambient Systems. 11(10-12): 1-11, 2011.

Conference and Workshop Proceedings

65. L. Lemikhova, S. Nesteruk, A. Somov, Transfer Learning for Few-Shot Plants Recognition: Antarctic Station Greenhouse Use-Case. 31st IEEE International Symposium on Industrial Electronics (ISIE). Anchorage, Alaska, USA, June 1-3, 2022 .

64. N. Stasenko, M. Savinov, V. Burlutskiy, M. Pukalchik, A. Somov. Deep Learning for Postharvest Decay Prediction in Apples. IEEE Industrial Electronics Conference (IECON), Toronto, ON, Canada, October 13-16, 2021. DOI: 10.1109/IECON48115.2021.9589498.

63. I. Koshelev, A. Somov. Learned Gradient Descent Performance in Bicubic Super-Resolution Task. IEEE Industrial Electronics Conference (IECON), Toronto, ON, Canada, October 13-16, 2021. DOI: 10.1109/IECON48115.2021.9589797.

62. D. Gazizova, A. Shcherbak, P. Gotovtsev, Y. Parunova, S. Vostrikov, A. Somov. Low-power Hybrid Energy Harvesting System Based on the Joint Operation of Glucose Biofuel Cells and Thermoelectric Generator. IEEE Industrial Electronics Conference (IECON), Toronto, ON, Canada, October 13-16, 2021. DOI: 10.1109/IECON48115.2021.9589063.

61. D. Logashov, D. Shadrin, A. Somov, M. Pukalchik, A. Uryasheva, H.P. Gupta, N. Rodichenko. Apple Trees Diseases Detection Through Computer Vision in Embedded Systems. IEEE International Symposium on Industrial Electronics (ISIE), Kyoto, Japan, June 20-23, 2021. DOI: 10.1109/ISIE45552.2021.9576438.

60. R. Yang, et al., NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Nashville, TN, USA, June 19-25, 2021. DOI: 10.1109/CVPRW53098.2021.00075.

59. A. Korotin, A. Stepanov, A. Lange, D. Nikolaev, S. Abramov, N. Klyuchnikov, E. Burnaev, A. Somov, Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament. In: Paiva S., Lopes S.I., Zitouni R., Gupta N., Lopes S.F., Yonezawa T. (eds) Science and Technologies for Smart Cities. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 372. Springer, Cham. https://doi.org/10.1007/978-3-030-76063-2_28.

58. M. Semenova, A. Lange, D. Koposov, A. Somov and E. Burnaev, “Personality Traits and Coping Strategies of eSports Players,” 2020 7th International Conference on Behavioural and Social Computing (BESC), Bournemouth, United Kingdom, 2020, pp. 1-5, doi: 10.1109/BESC51023.2020.9348280.

57. A. Talitckii, A. Anikina, E. Kovalenko, O. Mayora, V. Osmani, O. Zimniakova, M. Semenov, E. Bril, D. Dylov, A. Somov, Data-Driven Analysis of Parkinson’s Disease and its Detection at an Early Stage. 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp. 419–422, May 2020, doi: 10.1145/3421937.3421953.

56. N. Melentev, A. Somov, E. Burnaev, I. Strelnikova, G. Strelnikova, E. Melenteva, A. Menshchikov, eSports Players Professional Level and Tiredness Prediction using EEG and Machine Learning. IEEE SENSORS, Rotterdam, Netherlands, 2020, pp. 1-4, doi: 10.1109/SENSORS47125.2020.9278704.

55. A. Somov, E. Kovalska and A. Baldycheva, Wireless Graphene Temperature Sensor. IEEE SENSORS, Rotterdam, Netherlands, 2020, pp. 1-4, doi: 10.1109/SENSORS47125.2020.9278581.

54. A. Menshchikov, D. Lopatkin, E. Tsykunov, D. Tsetserukou, A. Somov, Realizing Body-Machine Interface for Quadrotor Control Through Kalman Filters and Recurrent Neural Network. IEEE International Conference on Emerging Technologies and Factory Automatin (ETFA), Vienna, Austria, September 8-11, 2020.

53. D. Koposov, M. Semenova, A. Somov, A. Lange, A. Stepanov, E. Burnaev. Analysis of the Reaction Time of eSports Players through the Gaze Tracking and Personality Trait. IEEE 29th International Symposium on Industrial Electronics (ISIE), 17-19 June 2020, Delft, The Netherlands. DOI: 10.1109/ISIE45063.2020.9152422.

52. S. Nesteruk, D. Shadrin, V. Kovalenko, A. Rodríguez-Sánchez, A. Somov. Plant Growth Prediction through Intelligent Embedded Sensing. IEEE 29th International Symposium on Industrial Electronics (ISIE), 17-19 June 2020, Delft, The Netherlands. DOI: 10.1109/ISIE45063.2020.9152399.

51. I. Koshelev, A. Somov, S. Lefkimmiatis, A. Rodríguez-Sánchez. Deconvolution of Image Sequences with a Learning FFT-based Approach. IEEE 29th International Symposium on Industrial Electronics (ISIE), 17-19 June 2020, Delft, The Netherlands. DOI: 10.1109/ISIE45063.2020.9152463.

50. E. Kovalska, A. Baldycheva, A. Somov. Wireless Graphene-enabled Wearable Temperature Sensor. SPb Photonic, Optoelectronic, & Electronic Materials (SPb-POEM), 27-30 April 2020, Saint-Petersburg, Russia.

49. D. Shadrin, T. Podladchikova, G. Ovchinnikov, A. Pavlov, M. Pukalchik, A. Somov. Kalman Filtering for Accurate and Fast Plant Growth Dynamics Assessment. IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 25-28, 2020, Dubrovnik, Croatia.

48. А.С. Степанов, А.С. Сомов, А.М. Ланге, Е.В. Бурнаев, О.Н. Гураль, М.А. Семенова, И.В. Стрельникова, Г.В. Стрельникова. Система Сбора Данных для Достоверной Регистрации Физиологического и Психоэмоционального Состояния Кибератлетов. Материалы конференции: Компьютерный спорт (киберспорт): состояние и перспективы развития, стр. 51-55, 2019.

47. A. Menshchikov, D. Ermilov, I. Dranitsky, L. Kupchenko, M. Panov, M. Fedorov, A. Somov, Data-Driven Body-Machine Interface for Drone Intuitive Control through Voice and Gestures. 45th Annual Conference of the IEEE Industrial Electronics Society, October 14-17, 2019, Lisbon, Portugal. DOI: 10.1109/IECON.2019.8926635.

46.  R. Ibrahimov, E. Tsykunov, V. Shirokun, A. Somov, D. Tsetserukou. DronePick: Object Picking and Delivery Teleoperation with the Drone Controlled by a Wearable Tactile Display. 28th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 2019) , Oct 14-18, 2019, Le Meridien, Windsor Place, New Delhi, India. DOI: 10.1109/RO-MAN46459.2019.8956344.

45. B. B. Velichkovsky, N. Khromov, A. Korotin, E. Burnaev, A. Somov. Visual Fixations Duration as an Indicator of Skill Level in eSports. The 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT). September 2-6, 2019, Paphos, Cyprus. DOI: 10.1007/978-3-030-29381-9_25.

44. A. Korotin, N. Khromov, A. Stepanov, A. Lange, E. Burnaev, A. Somov. Towards Understanding of eSports Athletes Potentialities: Sensing System for Data Collection and Analysis.  The 5th IEEE International Conference on Internet of People, August 19-23, 2019, Leicester, UK. DOI: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00319.

43. A. Smerdov, A. Somov, E. Burnaev. eSports Pro-Players Behavior During the Game Events: Statistical Analysis of  Data Obtained Using the Smart Chair. The 5th IEEE International Conference on Internet of People, August 19-23, 2019, Leicester, UK. DOI: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00314.

42. A. Stepanov, A. Korotin, N. Khromov, A. Lange, E. Burnaev, A. Somov. Sensors and Game Synchronization for Data Analysis in eSports. IEEE International Conference on Industrial Informatics (INDIN), July 22-25, 2019, Helsinki-Espoo, Finland. DOI: 10.1109/INDIN41052.2019.8972249.

41. V. Prutyanov, N. Melentev, D. Lopatkin, A. Menshchikov, A. Somov. Developing IoT Devices Empowered by Artificial Intelligence: Experimental Study. Global IoT Summit, June 17-21, 2019, Aarhus, Denmark. DOI: 10.1109/GIOTS.2019.8766355.

40. A. Smerdov, A. Kiskun, R. Shaniiazov, A. Somov, E. Burnaev. Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario. IEEE 5th World Forum on Internet of Things (WF-IoT), April, 15-18, 2019, Limerick, Ireland. DOI: 10.1109/WF-IoT.2019.8767295.

39. D. Shadrin, A. Chashchin, G. Ovchinnikov, A. Somov. System Identification – Soilless Growth of Tomatoes, IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 20-23, 2019, Auckland, New Zealand. DOI: 10.1109/I2MTC.2019.8826903.

38. A. Menshchikov and A. Somov. Mixed Reality Glasses: Low-Power IoT System for Digital Augmentation of Video Stream in Visual Recognition Applications, 13th IEEE International Symposium on Industrial Embedded Systems, pp. 1-8, Graz, Austria,  June 06 – 08, 2018.

37. D. Zhu, I. Duarte-Rabelo, I. Ayala-Garcia, A. Somov. An Electromagnetic In-shoe Energy Harvester Using Wave Springs, 1st IEEE International Conference on Industrial Cyber-Physical Systems (ICPS),  pp. 659 – 663, St. Petersburg, Russia, May 15-18, 2018.

36.  A. Filimonov, A. Somov. Wireless Power Transfer to the Sensors Integrated in a Wall, 1st IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), pp.  664 – 669, St. Petersburg, Russia,  May 15-18, 2018.

35. D. Shadrin, A. Somov, T. Podladchikova, R. Gerzer. Pervasive Agriculture: Measuring and Predicting Plant Growth Using Statistics and 2D/3D Imaging.  IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1-6, Houston, USA,  May 14-17, 2018.

34. A. Somov, P. Gotovtsev, A. Dyakov, A. Alenicheva, Y. Plehanova, S. Tarasov, A. Reshetilov. Bacteria to Power the Smart Sensor Applications: Biofuel Cell for Low-Power IoT Devices, 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), pp. 802 – 806, Singapore,  05-08 February, 2018.

33. A. Somov, E. Torres Alonso, M. F. Craciun, Ana I. S. Neves, A. Baldycheva. Smart Textile: Exploration of Wireless Sensing Capabilities. IEEE Sensors,  pp. 1-3, Glasgow, Scotland, UK, October 29 – November 1, 2017.

32. A. Baranov, A. Somov, D. Spirjakin, A. Bragar, A. Karelin. RF powered gas wireless sensor node for smart applications. Eurosensors 2017, Paris, France, 3–6 September 2017. In MPDI Proceedings 1(4), 575, 2017.

31. A. Somov, Z. J. Chew, T. Ruan, M. Zhu, S. P. Platt. Ultra-low-power RADFET sensing circuit for wireless sensor networks powered by energy harvesting. IEEE Sensors 2016, pp. 1-3, Orlando, FL, USA, October 30 – November 2, 2016.

30. A. Baranov, A. Somov, A. Karelin, E.E. Karpov, S. Mironov, E. Karpova. Assessment of explosion risks in the presence of hydrocarbon mixtures. The 30th European Conference on Solid-State Transducers (Eurosensors’16), Budapest, Hungary, September 4-7, 2016. In Procedia Engineering, vol. 168, pp. 493-496, 2016.

29. S. Fanchenko, A. Baranov, A. Savkin, A. Somov, L. Calliari. Multi-wavelength IR method for monitoring air pollution in cities. In Proceedings of the 2nd IEEE International Smart Cities Conference (ISC2 2016), pp. 1-6, Trento, Italy, September 12-15, 2016.

28. A. Somov, Z. J. Chew, T. Ruan, Q. Li, M. Zhu. Piezoelectric energy harvesting powered WSN for aircraft structural health monitoring. The 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), pp. 1-2, Vienna, Austria, April 11-14, 2016.

27. V. Laukhin, V. Lebedev, E. Laukhina, A. Somov, A. Baranov, C. Rovira, J. Veciana. Fabrication and application of low cost flexible film-based sensors to environmental and biomedical monitoring scenarios. In Proceedings of the 6th International Conference on Sensor Systems and Software (S-Cube), LNICST vol. 170, pp. 203-216, Rome, Italy, October 26-27, 2015.

26. V. Lebedev, E. Laukhina, V. Laukhin, A. Somov, A. Baranov, C. Rovira, J. Veciana. Approach to engineering the temperature sensing e-textile: a lightweight thermistor as an active sensing element. In Proceedings of the 6th International Conference on Sensor Systems and Software (S-Cube), LNICST vol. 170,pp 223-234 Rome, Italy, October 26-27, 2015.

25. E. Medvedeva, E. Klochkova, T. Kondelinskaya, A. Baranov, A. Somov. Thin film nanocomposite electrodes for electrochemical sensors. The 29th European Conference on Solid-State Transducers (Eurosensors’15), Freiburg, Germany, September 6-9, 2015. In Procedia Engineering, vol. 120, pp. 1137-1140, 2015.

24. D. Spirjakin, A. Baranov, A. Karelin, A. Somov. Wireless multi-sensor gas platform for environmental monitoring. IEEE Workshop on Environmental, Energy and Structural Monitoring Systems (EESMS’15), pp. 232-237, Trento, Italy, July 9-10, 2015.

23. A. Baranov, D. Spirjakin, S. Akbari, A. Somov, R. Passerone. A wireless carbon monoxide sensor node with hybrid power supply. IEEE International Instrumentation and Measurement Technology Conference (I2MTC’15), pp. 1019-1023, Pisa, Italy, May 11-14, 2015.

22. A. Somov, V. Lebedev, A. Baranov, E. Laukhina, V. Laukhin, R. Passerone, C. Rovira, J. Veciana. Wireless sensor node with ultrasensitive film sensors for emergency applications. The 28th European Conference on Solid-State Transducers (Eurosensors’14), Brescia, Italy, September 7-10, 2014. In Procedia Engineering, vol. 87, pp. 520-523, 2014.

21. A. Makeenkov, I. Lapitskiy, O. Kanischev, A. Somov. Infrared sensor for monitoring of LEL of flammable gases and vapors of flammable liquids. The 28th European Conference on Solid-State Transducers (Eurosensors’14), Brescia, Italy, September 7-10, 2014. In Procedia Engineering, vol. 87, pp. 995-998, 2014.

20. S. Sasidharan, A. Somov, A. R. Biswas, R. Giaffreda. Cognitive management framework for internet of things – a prototype implementation. In Proceedings of IEEE World Forum on Internet of Things (WF-IoT), pp. 538-543, Seoul, Korea, March 6-8, 2014.

19. A. Somov, T. Rasheed, V. Yedugundla. Power control game for spectrum sharing in public safety communications. In Proceedings of the 18th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pp. 207-211, Berlin, Germany, September 25-27, 2013.

18. A. Somov, C. Dupont, R. Giaffreda. Supporting smart-city mobility with cognitive internet of things. In Proceedings of the Future Network and Mobile Summit 2013, pp. 1-10, Lisbon, Portugal, July 3-5, 2013.

17. D. Kelaidonis, A. Somov, V. Foteinos, G. Poulios, V. Stavroulaki, P. Vlacheas, P. Demestichas, A. Baranov, A. R. Biswas, R. Giaffreda. Virtualization and cognitive management of real world objects in the internet of things. In Proceedings of the International Conference on Internet of Things, pp. 187-194, Besançon, France, November 20-23, 2012.

16. D. Kelaidonis, A. Somov, G. Poulios, V. Foteinos, V. Stavroulaki, P. Vlacheas, P. Demestichas. A cognitive management framework for smart objects and applications in the internet of things. In Proceedings of the 2nd Workshop on Smart Objects Resource Management, LNICST 58, pp. 196-206, Hamburg, Germany, September 26, 2012.

15. A. Somov, D. Spirjakin, A. Spirjakin, A. Baranov, V. Sleptsov, R. Passerone. Safe delivery of sensed data in wireless sensor networks for gas leak detection: a boiler facility scenario. In Proceedings of the 26th European Conference on Solid State Transducers (Eurosensors’12), pp. 873-876, Kraków, Poland, September 9-12, 2012.

14. A. Somov, C. C. Ho, R. Passerone, J. W. Evans, P. K. Wright. Printed electrochemical capacitors for energy scavenging sensor networks. In Proceedings of the 1st International Workshop on Algorithms and Concepts for Networked Sensing Systems Powered by Energy Harvesters (EnHaNSS’12), pp. 1-6, Antwerp, Belgium, June 11, 2012.

13. C. Dupont, G. Giuliani, F. Hermenier, T. Schulze, A. Somov. An energy aware framework for virtual machine placement in cloud federated data centres. In Proceedings of the 3rd ACM International Conference on Future Energy Systems (e-Energy’12), pp. 1-10, Madrid, Spain, May 9-11, 2012.

12. D.-M. Quan, A. Somov, C. Dupont. Energy usage and carbon emission optimization
mechanism for federated data centres. In Proceedings of the 1st International Workshop on Energy Efficient Data Centers (E2DC’12), LNCS vol. 7396, pp. 129-140, Madrid, Spain, May 8, 2012.

11. A. Somov, A. Baranov, A. Savkin, M. Ivanov, L. Calliari, R. Passerone, E. Karpov, A. Suchkov. Energy-aware gas sensing using wireless sensor networks. In Proceedings of the 9th European Conference on Wireless Sensor Networks (EWSN’12), LNCS vol. 7158, pp. 245-260, Trento, Italy, February 15-17, 2012.

10. A. Somov, C. C. Ho, R. Passerone, J. W. Evans, P. K. Wright. Towards extending sensor node lifetime with printed supercapacitors. In Proceedings of the 9th European Conference on Wireless Sensor Networks (EWSN’12), LNCS vol. 7158, pp. 212-227, Trento, Italy, February 15-17, 2012.

9. A. Somov, S. Kandeepan, A. R. Biswas, A. Krause. Detect and avoid mechanism for ultra wide-band WiMedia: experimental evaluation of detection capabilities. In Proceedings of IEEE International Conference on Ultra Wideband (ICUWB’11), pp. 307-311, Bologna, Italy, September 14-16, 2011.

8. A. Somov, M. Ivanov, A. Baranov, A. Savkin, K. Sithamparanathan. Energy efficient trade-off between communication and sensing in wireless gas sensor node. In The 1st Int. Workshop on Cognitive Radio and Cooperative Strategies for POWER Saving (C2POWER’10), pp. 1-11, Lisbon, Portugal, September 8, 2010.

7. A. Somov, D. Spirjakin, M. Ivanov, I. Khromushin, R. Passerone, A. Baranov, A. Savkin. Combustible gases and early fire detection: an autonomous system for wireless sensor networks. In Proceedings of the First ACM International Conference on Energy-Efficient Computing and Networking (e-Energy’10), pp. 85-93, Passau, Germany, April 13-15, 2010.

6. A. Somov, I. Minakov, A. Simalatsar, G. Fontana, R. Passerone. A methodology for power consumption evaluation of wireless sensor networks. In Proceedings of the 14th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA’09), pp. 1-8, Mallorca, Spain, September 22- 26, 2009.

5. D. Macii, A. Ageev, A. Somov. Power consumption reduction in wireless sensor networks through optimal synchronization. In Proceedings of the IEEE Instrumentation and Measurement Technology Conference (I2MTC’09), pp. 1346-1351, Singapore, May 5-7, 2009.

4. A. Somov, V. Sachidananda, R. Passerone. A self-powered module with localization and tracking system for paintball. In Proceedings of the 3rd International Workshop on Self-Organizing Systems (IWSOS’08), LNCS vol. 5343 , pp. 182-193, Vienna, Austria, December 10-12, 2008.

3. A. Somov. An energy scavenging module with reconfigurable power management for wireless sensor networks. In Proceedings of the 34th International Youth Scientific Conference (track: high tech electronics), pp. 47-49, Moscow, Russia, April, 2008.

2. A. Somov. An input-output module for telemetry data on the basis of FPGA. In Proceedings of the 33th International Youth Scientific Conference (track: high tech electronics), pp. 7-9, Moscow, Russia, April, 2007.

1. I. Minakov and A. Somov. A flexible embedded platform for experiments automation. In Proceedings of the 31th International Youth Scientific Conference (track: high tech electronics), pp. 18, Moscow, Russia, April, 2005.

Patents

3. Томчук К.К., Тюрликов А.М., Борисова М.Д., Милюхина И.В., Сомов А.С. Способ измерения длительностей отдельных шагов левой и правой ноги. Патент на изобретение № 2752373. Зарегистрирован в государственном реестре изобретений 26.07.2021, бюллетень № 21.

2. Баранов А.М., Слепцов В.В., Савкин А.В., Фанченко С.С., Сомов А.С. Многоволновый трассовый газоанализатор. Патент на полезную модель № 174760. Зарегистрирован в государственном реестре 31.10.2017, бюллетень № 31.

1. Баранов А.М., Спирякин Д.Н., Сомов А.С. Беспроводный мультигазовый датчик с удаленной активацией по радиосигналу. Патент на полезную модель № 170020. Зарегистрирован в государственном реестре 11.04.2017, бюллетень № 11.

Books (edited)

3. B. Mandler, J. Barja, M. E. Mitre Campista, D. Caganova, H. Chaouchi, S. Zeadally, M. Badra, S. Giordano, M. Fazio, A. Somov, R.-L. Vieriu (Eds.). Internet of Things. IoT Infrastructures. Second International Summit, IoT 360 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part I. Springer, LNICST, vol. 169, ISBN 978-3-319-47063-4.

2. B. Mandler, J. Barja, M. E. Mitre Campista, D. Caganova, H. Chaouchi, S. Zeadally, M. Badra, S. Giordano, M. Fazio, A. Somov, R.-L. Vieriu (Eds.). Internet of Things. IoT Infrastructures. Second International Summit, IoT 360 2015, Rome, Italy, October 27-29, 2015, Revised Selected Papers, Part II. Springer, LNICST, vol. 170, ISBN 978-3-319-47075-7.

1. J. Huusko, H. De Meer, S. Klingert, A. Somov. (Eds.). Energy Efficient Data Centers. Proceedings of the 1st International Workshop on Energy Efficient Data Centers, Madrid, Spain, May 8, 2012. Springer, Lecture Notes in Computer Science, vol. 7396, ISBN 978-3-642-33645-4.

White Papers

1. A. Somov, S. Kandeepan, A. R. Biswas, and S. Zeisberg. Cognitive UWB. In Ultra-Wideband: Past, Present and Future, chapter 2.5, pp. 13-14, May 2011.

Posters

1. M. Mark, A. Somov, J. Rabaey. Powering wireless brain-machine interfaces. Berkeley Wireless Research Center (BWRC) Winter 2009 Retreat, Berkeley, USA, January 6, 2009.

 

 

- Excellence Recognition, Skoltech, 2022.

– Three Best Russian IoT Technologies in the area of ‘New IoT’ – HEAD KRAKEN SaaS,
Russian IoT Association, 2021.

– 3rd Place Award (in a team) at NTIRE competition in Computer Vision in Nashville, USA, 2021.

– Finalist at Startup Village with HeadKraken startup, Russia, May 2020.

– Best Paper Award. Anton Smerdov, Andrey Somov, Evgeny Burnaev. “eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair,” 5th  IEEE International Conference on Internet of People (IEEE IoP 2019), Leicester, UK, August 19-23, 2019.

– Google Internet of Things Technology Research Award, April 2016.

– Recognized Reviewer, Sensors and Actuators A: Physical, February 2016.

– Teaching Award, European Alliance for Innovation, October 2015.

– Best demo award at Future Network and Mobile Summit, Lisbon, Portugal. July 3-5, 2013.

– Runner-up award at Future Network and Mobile Summit, Berlin, Germany. July 4-6, 2012.

– Caritrо Fоundatiоn Fеllоwship “Еnеrgy Scavеnging in Sеnsоr Nеtwоrks”, Italy, 2009.

– ArsLogica ICT Schооl Schоlarship, Italy, 2006.

RSF grant award
I received the Russian Science Foundation grant for the project on Investigation of Common Motor Neurological Diseases by the Example of Parkinsonism and Various Types of Tremor Using Machine Learning. The project is planned for 2023-2024. Our research team will be empowered by the neurologists from Burnazyan Federal Medical and Biophysical Center, Russia.

Published: November 30, 2022

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An article on Detecting Video Game Player Burnout is accepted at IEEE IoT Journal
Research carried out together with Prof. Lukowicz and Dr. Zhou affiliated with German Research Center for Artificial Intelligence (DFKI) has resulted in a joint article accepted in reputed IEEE Internet on Things Journal.
A. Smerdov, A. Somov, E. Burnaev, B. Zhou, P. Lukowicz, Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning. IEEE Internet of Things Journal.

Published: April 20, 2021

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An article on Real-time Detection of Hogweed is accepted at IEEE Transactions on Computers
Applied research conducted by the group of Skoltech students and young researchers has been accepted for publication in IEEE Transactions on Computers.
A. Menshchikov, D. Shadrin, V. Prutyanov, D. Lopatkin, S. Sosnin, E. Tsykunov, E. Iakovlev, A. Somov, Real-time Detection of Hogweed: UAV Platform Empowered by Deep Learning. IEEE Transactions on Computers, doi: 10.1109/TC.2021.3059819.

Published: February 14, 2021

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Appearance at radio Mayak 103.4 FM
My invitation to radio Mayak was dedicated to the discussion of eSports topic. You are welcome to listen to the recording.

Published: February 10, 2021

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Welcome Dr. Alexander Menshchikov!
I am happy to announce that the PhD student Alexander Menshchikov, I had the honor to supervise, has defended his PhD thesis ‘Mathematical modelling and analysis of intelligent monitoring platform for precision agriculture’ yesterday. I congratulate Dr. Menshchikov with truly successful defense and wish him a happy research career.

Published: October 10, 2020

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An article on Avoiding Misdiagnosis of the Parkinson’s Disease is Accepted at IEEE Sensors Journal
The following article prepared in collaboration with the neurologists from the Burnazyan Federal Medical and Biophysical Center has been accepted at IEEE Sensors Journal and is available here.
A. Talitckii, E. Kovalenko, A. Anikina, O. Zimniakova, M. Semenov, E. Bril, A. Shcherbak, D. Dylov, A. Somov, “Avoiding Misdiagnosis of Parkinson’s Disease with the Use of Wearable Sensors and Artificial Intelligence,” in IEEE Sensors Journal, doi: 10.1109/JSEN.2020.3027564.

Published: October 09, 2020

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HEAD KRAKEN startup ranked #4 in IT Track Final at Startup Village Contest
HEAD KRAKEN participated in Startup Village 2020 competition among Russian startups. We successfully qualified to semi-final (130 startups in total in semi-final, +40 in IT track). In the final we ranked #4 in IT track.

Published: May 22, 2020

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Hat trick at ISIE 2020: Three Papers Are Accepted at the Conference
This year three papers have been accepted at IEEE 29th International Symposium on Industrial Electronics (ISIE).

  1. D. Koposov, M. Semenova, A. Somov, A. Lange, A. Stepanov, E. Burnaev. Analysis of the Reaction Time of eSports Players through the Gaze Tracking and Personality Trait. IEEE 29th International Symposium on Industrial Electronics (ISIE), 17-19 June 2020, Delft, The Netherlands.
  2.  S. Nesteruk, D. Shadrin, V. Kovalenko, A. Rodríguez-Sánchez, A. Somov. Plant Growth Prediction through Intelligent Embedded Sensing. IEEE 29th International Symposium on Industrial Electronics (ISIE), 17-19 June 2020, Delft, The Netherlands.
  3. I. Koshelev, A. Somov, S. Lefkimmiatis, A. Rodríguez-Sánchez. Deconvolution of Image Sequences with a Learning FFT-based Approach. IEEE 29th International Symposium on Industrial Electronics (ISIE), 17-19 June 2020, Delft, The Netherlands.

Published: May 19, 2020

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Two MS Students Went for Internship Abroad
Anton Smerdov and Alexander Talitsky, the MS students I have the honor to supervise, qualified through the internal Skoltech competition for the internships abroad. Anton visits the lab of Prof. Paul Lukowicz at the University of Kaiserslautern, Germany. Alexander will do his research project with Dr. Oscar Mayora at FBK Research Center, Italy.

Published: Sept 05, 2019

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Teaching at Machine Learning Summer School (MLSS)
This year International Machine Learning Summer School (MLSS) takes place in Moscow, Russia.  I gave the lecture ‘Wanna Play a Game? Towards Data Collection and Processing in eSports’ where I covered sensing technologies and provided examples on the data processing in eSports.

Published: Sept 05, 2019

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1500 Visitors at Skoltech Event Organized by Rosseti
I gave a talk in Chelyabinsk (Ural area) together with my colleagues Petr Vorobev and Sergey Nikolaev. In may talk I discussed the application of IoT to Energy related industry. The event was attended by 1500 Senior Engineers and Managers from Rosseti from all over Russia.

Published: Sept 05, 2019

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Best Paper Award at IEEE IoP 2019
Anton Smerdov, Andrey Somov and Evgeny Burnaev got the Best Paper Award for their paper “Analysis of Cyber Athletes Behaviour Through a Smart Chair: Monolith Team Test Case” at the 5th IEEE International Conference on Internet of People (IoP 2019) held in Leicester, UK, on August 19-23, 2019.

Published: August 24, 2019

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Tutorial and Invited Lecture on eSports at ‘Ostrov’ event  
Last July we participated in ‘Ostrov’ event hosting all Russian universities in the new Skoltech campus. On July 11-15 we conducted 5-day tutorial on data collection and processing in eSports (Andrey Somov, Anton Stepanov, Nikita Khromov, Andrey Lange, Evgeny Burnaev). This tutorial was followed by my invited lecture on eSports on July 21.

Published: August 24, 2019

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Discussing IoT and Telemedicine on theRadio  
I was invited to the radio Govorit Moskva 94.8 FM for discussing Telemedicine in the context of  Internet of Things. This podcast (June 15, 2019) is available here in Russian.

Published: June 19, 2019

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Paper on Parkinson’s Disease is accepted at IEEE AIBEC 2019 
We have the first paper on our research on Parkinson’s Disease (PD) accepted at  IEEE Austria International Biomedical Engineering Conference (AIBEC 2019). In this work, we demonstrated how to perform the PD data analytics from the patients using wearable sensors.

Published: May 29, 2019

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A Practical 2-days Course on IoT in TUSUR (Tomsk, Russia)  
A practical 2-days course on Internet of Things is delivered in TUSUR, a Siberian university, on May 23-24, 2019. Instructors: Andrey Somov and Alexander Menshchikov. This course covered the following topics: data collection, wireless communication, data visualization on the web, and running the machine learning algorithms on ‘things’.

Published: May 29, 2019

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Lecturing on eSports in Zariydye (Moscow, Russia)  
I delivered an invited talk on eSports in Zaryadye on May 22, 2019.  The focus of the talk was on sensing and artificial intelligence application for training and analytics in eSports.

Published: May 29, 2019

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Article accepted for publication in Physics of Fluids  
The article Morphing Wing with Compliant Aileron and Slat for Unmanned Aerial Vehicles co-authored with my PhD student Alexander Menshchikov is accepted for publication in Physics of Fluids.

Published: February 21, 2019

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Two papers are accepted at I2MTC and WF-IoT 2019 
Two papers System Identification – Soilless Growth of Tomatoes and Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario  are accepted at IEEE International Instrumentation and Measurement Technology Conference (I2MTC) and IEEE World Forum on Internet of Things (WF-IoT), respectively. The papers are co-authored by my CDISE colleagues and PhD/MS students.

Published: February 19, 2019

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Men’s Health about Neuro Science and Neuro Hackathon  
Men’s Health has published quite large article (online and hardcopy) on the NeuroHackathon event organized last November at Skoltech and Center of Excellence NTI ‘Wireless Communication and IoT’.

Published: January 29, 2019

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Co-Chairing Embedded AI and IoT Workshop at IEEE WF-IoT 2019 
Myself and Michele Magno (ETHZ, Switzerland) will co-chair Embedded Artificial Intelligence and Internet of Things Workshop at IEEE World Forum on Internet of Things 2019. The workshop will take place in Limerick, Ireland, in April 15-18, 2019.

Published: January 16, 2019

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Talk on eSports in Nike
This Sunday I will give a talk on eSports in Nike. More details are available here.

Published: December 18, 2018

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Our Cybersport Research Gets RFBR Funding for 3 years
A research proposal on evaluation of cyber athletes behavior using wearables and artificial intelligence got funding from Russian Foundation for Basic Research (RFBR). Research will be conducted in collaboration with Skoltech Cyberacademy and Monolith professional cyber team.

Published: November 13, 2018

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Skoltech and TUSUR Start Joint Education Program on IoT  
Skoltech (Moscow, Russia) and TUSUR (Tomsk, Russia) will start a joint education program on IoT in the scope of ‘IoT and Wireless Communication Center of Excellence‘. The program begins in 2019-2020 academic year.

Published: November 13, 2018

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WILCO!‘ Demo: Instantaneous Drone Control
WILCO! ‘ Skoltech CDISE Team (Igor Dranitsky, Dmitry Ermilov, Leonid Kupchenko, Aleksandr Menshchikov, Maxim Panov, Andrey Somov) realized an algorithm for the drone instantaneous control based on wearable sensing and embedded AI. The following demo highlights basic functionality of the control system.

Published: August 5, 2018

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Research Results in Smart Agriculture are Covered by Media
Our research (Dmitry Shadrin, Andrey Somov, Tatiana Podladchikova, Rupert Gerzer) on predicting an increase in the plant biomass using 2D and 3D images is covered in media (RIA and TASS). These findings will help improve the efficiency of precision farming, both on Earth and in space.

Published: August 5, 2018

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I will deliver a talk at SNAIA 2018 in Paris this December
I was invited to give a talk at Smart Nano Materials: Advances, Innovation and Application (SNAIA 2018). The event will take place in Paris, France, on December 10-13, 2018. SNAIA 2018 will provide a unique platform to meet, share knowledge and establish links between experts from academia and industry in the emerging fields of Wearable (Opto)Electronics, CMOS Photonics, Quantum Computing, Artificial Intelligence, OptoGenetics, Smart Coatings and Thin Films.

Published: August 5, 2018

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Intensive lecturing at Gazpromneft STC, Saint-Petersburg, Russia
I delivered the 8-hours lecture and hands-on session on Data Collection Using the Internet of Things Technology at Gazpromneft Science and Technology Center in Saint Petersburg on July 27. The event was attended by the senior engineers and scientists.

Published: August 5, 2018

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STRIP grant award for a Cybersport project
I received the Skoltech Translational Research and Innovation Program (STRIP) grant for realizing my G-Psycho project in cybersport in 2018-2019. The project is about transferring research results on wearables and predictive analytics to a commercial product for the professional cyber athletes including Monolith Team.

Published: July 7, 2018

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Article is accepted for publication in IEEE Pervasive Computing Magazine
An article titled Pervasive Agriculture: IoT Enabled Greenhouse for Plant Growth Control and co-authored by my CDISE colleagues, is accepted for publication in  IEEE Pervasive Computing Magazine.

Published: July 7, 2018

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Paper has been accepted at IEEE SIES 2018

A paper co-authored with Aleksander Menshchikov has been accepted at the IEEE Symposium on Industrial Embedded Systems
(SIES 2018), which will be held in Graz, Austria, June 6-8, 2018.  More information regarding the symposium can be found on the website:
http://sies2018.tugraz.at

Published: April 12, 2018

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Invited Talk at IoT International Day in Moscow

I delivered the talk Internet of Things: Its Present, Past and Future at the IoT International Day in Moscow, Russia.  The event is organized by IoT Association in Russia.

Published: April 12, 2018

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Visit and talk at Boeing Research Center

Myself and Aleksandr Menshchikov visited Boeing Research Center in Skolkovo today where Aleksandr delivered a talk on Intelligent Structures and Sensors.

Published: March 29, 2018

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Paper has been accepted at IEEE ICPS 2018

A paper co-authored with Alexey Filimonov has been accepted at the IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2018).

Published: March 12, 2018

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Call for MS and PhD applications at Skoltech

Call for applications for MS and PhD programs is available online.

Key advantages of Skoltech education:
– State-of-the-art courses and modules (machine learning, blockchain, IoT, computer vision, etc.) in English;
– World renowned professors;
– Project based education;
– International environment;
– Highly competitive scholarships for both MS and PhD students.

Published: March 5, 2018

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I participated in the School for Primary Investigators in Tomsk

I delivered an invited talk at the School for Primary Investigators in Tomsk (February 26-27, 2018), Russia. It is a series of events aimed at teaching of young researchers to communicate with industry for commercializing the research ideas and prototypes. This initiative is organized by the Center for Strategic ‘North-West’ Foundation.

Published: March 5, 2018

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Paper has been accepted at IEEE I2MTC 2018

A paper co-authored with Dmitry Shadrin, Tatiana Podladchikova and Rupert Gerzer has been accepted at the IEEE International Instrumentation and Measurement Technology Conference.

Published: February 6, 2018

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Introduction to Internet of Things module started at Skoltech
Introduction to IoT module started today at Skoltech. Apart from lectures the students will learn about the IoT through a series of hands-on sessions and tutorials. For working in teams, the participants will be divided in groups to realize 8 projects in Smart Agriculture. The best projects will be deployed in a functional tomato greenhouse.

Published: January 30, 2018

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Article is accepted for publication in Computers and Electrical Engineering
An article titled Consist-to-Consist Communications in the Trains: Is it Time to Use Ultra Wide-Band? and co-authored by A. Baraev from FBK CREATE-NET Research Center, Italy, is accepted for publication in  Computers and Electrical Engineering (Elsevier).

Published: January 30, 2018

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I will join the TPC of IEEE ETFA 2018

I will join the Technical Program Committee (TPC) of IEEE Emerging Technologies And Factory Automation (ETFA 2018) for Track 8, “Intelligent Sensors, Sensor Networks, and Information Processing”.  The conference will be held in Torino, Italy, on September 4-7, 2018.

Published: January 17, 2018

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SkolTech team qualified for IEEE International Sensors and Measurement Student Contest

SkolTech CDISE team qualified for IEEE International Sensors and Measurement Student Contest with the project called ‘WILCO: Drone Instantaneous Control by Voice and Gesture’. This competition is organized by STMicroelectronics and IEEE Instrumentation and Measurement Society & IEEE Sensors Council. Demo session will take place at IEEE International Instrumentation and Measurement Technology Conference (I2MTC) in May 12-15 2018, Houston, TX, USA.

Skoltech team: Igor Dranitsky (PhD student), Dmitry Ermilov (MS student), Leonid Kupchenko (MS student), Alexander Menshchikov (PhD student).
Tutors: Dr. Andrey Somov, Dr. Maxim Panov.

Published: December 19, 2017

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I will co-chair a special session on energy harvesting at IEEE ICPS 2018 

I will co-chair the special session Applications of Energy Harvesting to Industrial Cyber Physical Systems at IEEE ICPS conference taking place in St. Petersburg, Russia, May 15-18, 2018.

Published: December 12, 2017

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Paper has been accepted at IEEE WF-IoT 2018

The paper “Bacteria to Power the Smart Sensor Applications: Biofuel Cell for Low-Power IoT Devices” has been accepted at the IEEE 4th World Forum on Internet of Things.

Published: November 19, 2017

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Invited talk on IoT at the University of Exeter is delivered

I delivered “Smart Low-Power Internet of Things Devices for Oil and Gas Industry” talk at the University of Exeter, UK. The talk took place on November 3, 2017, within the framework of NEST seminars arranged on a regular basis.

Published: November 6, 2017

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Welcome a new team member

Igor Dranitskii joined our research group as a PhD student on November 1, 2017. Igor will work on WSN topic.

Published: November 6, 2017

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Teaching at Innovation Workshop

I was teaching at Skoltech Innovation Workshop on September 5, 6, 8 for new MSc students. The workshop focus was on the Internet of Things application for the office automation.  Program is comprised of a short lecture, hands-on session and presentation of projects developed at the workshop.

Published: September 20, 2017

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New member joined the research group

Alexey Filimonov joined our research group as Research Intern on September 1, 2017. Alexey will work on wireless sensing topic.

Published: September 2, 2017

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I delivered an invited talk on IoT at Gazpromneft R&D Centre in St. Petersburg

I delivered “Application of IoT Technology in Oil and Gas Industry” talk at Gazpromneft R&D Centre in St. Petersburg on August 30, 2017.

Published: August 31, 2017

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Paper has been accepted at IEEE SENSORS 2017
The paper “Smart Textile: Exploration of Wireless Sensing Capabilities” has been accepted at IEEE SENSORS 2017.

Published: August 12, 2017

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Article is accepted for publication in IEEE Transactions on Industrial Electronics
An article titled Estimation of a Gas Mixture Explosion Risk by Measuring the Oxidation Heat within a Catalytic Sensor and co-authored by A. Karelin, A. Baranov and S. Mironov is accepted for publication in highly reputed IEEE Transactions on Industrial Electronics, Special Issue on New Trends in Smart Sensors for Industrial Applications.

Published: June 8, 2017

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PhD Studentships: Wireless Sensor Networks (WSN) and Internet of Things (IoT)
Location: Moscow, Russia
Funding for: RU Students, International Students
Funding amount: RUR 75,000 (EUR 1,200 equiv.) per month
Hours: Full Time
Start date: November 2017
Working language: English

Up to 4 PhD positions are available in the Computational and Data-Intensive Science and Engineering (CDISE) Center at Skoltech – Skolkovo Institute of Science and Technology (http://www.skoltech.ru/en), Moscow, Russia. Skoltech was established in 2011 in collaboration with MIT, Skoltech educates global leaders in innovation, advance scientific knowledge, and fosters new technologies to address critical issues facing Russia and the world. Applying international research and educational models, the university integrates the best Russian scientific traditions with twenty-first century entrepreneurship and innovation.
The position is for 4 years. It is available from November 1, 2017, or at the candidate’s earliest convenience before this date.
PhD students will contribute to the following research topic(s) in the scope of WSN and IoT:
– sensing and actuation,
– signal processing,
– intelligent systems,
– power management: low power design, energy harvesting,
– data processing,
– wearable electronics,
– wireless communication,
– wireless power transfer,
– application and deployment
The exact research topic will depend on the candidate background and expertise. More details about the Skoltech PhD course are available at http://www.skoltech.ru/en/education

Eligibility criteria:
– Degree in EE, CS, ICT
– English language certificate (TOEFL or IELTS). Applicants who did not get a chance to pass English exam (TOEFL/IELTS) will be able to do it during the “Selection Weekend” at Skoltech.
– Be motivated complete a PhD within 4 years

To apply:
Submit your CV along with the motivation letter (up to 700 words) to Dr. Andrey Somov a.somov@skoltech.ru by June 12, 2017.

Published: May 11, 2017


MS students/PhD students/Postdocs and their research topics

  • Postdocs:
    Dr. Anton Stepanov (07/2018 – present) – eSports Data Collection.
    Dr. Dmitry Nikolayev (07/2019 – 07/2021) eSports Data Analysis.
  • PhD students:
    Arman Petrosyants (2021-present) – Modeling of Video Players Behaviour.
    Nikita Stasenko (2021-present) – ML/DL for Diseases detection in Precision Agriculture.
    Sergey Nesteruk (2021-present) – Data Augmentation for Precision Agriculture.
    Ekaterina Kovalenko (2020 – present)
    Alexei Shcherbak (2019 – present) – Analysis of Parkinson’s Disease Stages Using Wearables and Machine Learning.
    Aleksandr Menshchikov (2017 – 19.10.2020) – PhD thesis title ‘Mathematical Modelling and Analysis of Intelligent Monitoring Platform for Aerial Robotics in Precision Agriculture‘.
  • Research Interns:
    Alexey Filimonov (2017-2018) – Wireless Power Transfer for IoT Sensors.
  • MS students:
    Ola Haydar (2021-)
    Dmitry Mitchenkov (2021-)
    Mukhamadiev Semen (2021-)
    Mohammed Hammoud (2021-)
    Melaku Getahun (2021-)
    Alexander Timoshenko (2021-)
    Grigory Babkin (2021-)
    Maxim Stupin (2020-2022)
    Maxim Savinov (2020-2022)
    Dan Mutsvanga (2020-2022)
    Yulia Moroz (2020-2022)
    Liao Meixing (2020-2022)
    Liliya Lemikhova (2020-2022)
    Arina Ivanova (2020-2022)
    Blintsov Sergey (2020-2022)
    Antonov Anton (2020-2022)
    Adamovich Viktor (2020-2022)
    Kirill Petrovsky (2019-2021)
    Egor Zviagintsev (2019 – 2021)
    Ivan Evstafev (2019 – 2021)
    Denis Logashov (2019 – 2021)
    Daria Gazizova (2019 – 2021)
    Semen Abramov (2018 – 2020) – Analysis of eSports Athletes Behavior at Competitions Using Sensors and Machine Learning.
    Denis Koposov (2018 – 2020) – Analysis of Eye Movements in eSports.
    Daniil Lopatkin (2018 – 2020) – Kalman Filters for UAV Control by Hands.
    Viktor Prutyanov (2018 – 2020) – Computer Vision and UAV for Weeds Detection.
    Nikita Melentev (2018 – 2020) – eSports EEG Data Analysis Using Machine Learning.
    Sergei Nesteruk (2018 – 2020) – Precise Agriculture.
    Anton Smerdov (2018 – 2020) – Behavior Patterns Detection of eSports Athletes Using Smart Chair and machine Learning.
    Alexander Talitsky (2018 – 2020) – Analysis of Parkinson’s Disease Stages Using Machine Learning and Wearables.
    Vladislav Kovalenko (2018 – 2020) – Seeds Classification Using Machine Learning Methods.
    Ekaterina Kovalenko (2018 – 2020) – Analysis of Misdiagnosis of Parkinson’s Disease Using Machine Learning and Wearables.
    Ivan Dziubenko (2017-2019) – MS thesis ‘Understanding Esports Athletes Top Form Using Sensing and Machine Learning’.
    Anna Tatarnikova (2017-2019 ) – MS thesis ‘Understanding Properties of Parkinson’s Disease Tremor Using Pervasive Sensing’.
    Sergey Vostrikov (2017- 2019) – MS thesis ‘Optimization of Low Temperature Gradient Thermoelectric Generators for Energy Harvesting’.
    Dmitry Ermilov (2017-2019) – MS thesis ‘Sensor Fusion and Artificial Intelligence for Assessing eSports Athletes Concentration’.
    Ihor Sorokin (2016-2018) – MS thesis ‘Automating Greenhouse Monitoring System’.
  • Visiting students:
    Alban Cobi (06/2018), MIT, USA.

2017-present

  • Introduction to Internet of Things, 3 credits
  • Sensors and Embedded Systems for Internet of Things, 3 credits  (6 credits starting from 2018-2019 a.y.)

 

ФИО: Сомов Андрей Сергеевич

Занимаемая должность (должности): Старший преподаватель

Преподаваемые дисциплины: Введение в Интернет Вещей, Датчики и встроенные системы.

Ученая степень: степень Ph.D. в области информационных технологий и электроники 2009,  университет г. Тренто (Италия)

Ученое звание: нет

Наименование направления подготовки и/или специальности: проектирование радиоэлектронных средств

Данные о повышении квалификации и/или профессиональной переподготовке: нет

Общий стаж работы: С 2005 года

Стаж работы по специальности: С 2005 года