1.    I. Lashkov, A. Kashevnik, A Multimodal Approach to Psycho-Emotional State Detection of a Vehicle Driver. In: Intelligent Systems and Applications. IntelliSys 2021. Advances in Intelligent Systems and Computing, 2021 (Accepted).

2.    A. Kashevnik, I. Lashkov, A. Axyonov, D. Ivanko, D. Ryumin, A. Kolchin, A. Karpov Multimodal Corpus Design for Audio-Visual Speech Recognition in Vehicle Cabin // IEEE Access, 2021 (Q1).

3.    A. Kashevnik, A. Ali, I. Lashkov, D. Zubok Human Head Angle Detection Based on Image Analysis. In: Arai K., Kapoor S., Bhatia R. (eds) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. FTC 2020. Advances in Intelligent Systems and Computing, vol 1288. Springer.

4.    A. Kashevnik, M. Kruglov, I. Lashkov, N. Teslya, P. Mikhailova, E. Ripachev, V. Malutin, N. Saveliev, I. Ryabchikov. Human Psychophysiological Activity Estimation Based on Smartphone Camera and Wearable Electronics, Future Internet 2020, vol. 12, p. 111.

5.    A. Kashevnik, I. Lashkov, A. Ponomarev, N. Teslya, A. Gurtov, Cloud-Based Driver Monitoring System Using a Smartphone Mounted on a Vehicle Windshield // IEEE Sensors Journal, vol. 20(12), pp. 6700-6715, 2020.

6.    I. Lashkov, A. Kashevnik, N. Shilov, Dangerous State Detection in Vehicle Cabin Based on Audiovisual Analysis with Smartphone Sensors. In: Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, 2021, 1250 AISC, pp. 789-799.

7.    I. Lashkov, A. Kashevnik, N. Shilov, V. Parfenov, A. Shabaev, Driver Dangerous State Detection Based on OpenCV & Dlib Libraries Using Mobile Video Processing, In: 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), New York, NY, USA, 2019, pp. 74-79.

8.    A. Kashevnik, I. Lashkov, Intelligent Driver Decision Support System in Vehicle Cabin: Reference Model for Dangerous Events Recognition and Learning, In: 2019 IEEE 15th International Conference on Control and Automation (ICCA), Edinburgh, United Kingdom, 2019, pp. 27-31.

9.    A. Kashevnik, I. Lashkov, N. Teslya, Driver Intelligent Support System in Internet of Transportation Things: Smartphone-Based Approach. In: 2019 14th Annual Conference System of Systems Engineering (SoSE), Anchorage, AK, USA, 2019, pp. 170-175.

10. A. Kashevnik, I. Lashkov, D. Ryumin, A. Karpov (2019) Smartphone-Based Driver Support in Vehicle Cabin: Human-Computer Interaction Interface. In: Ronzhin A., Rigoll G., Meshcheryakov R. (eds) Interactive Collaborative Robotics. ICR 2019. Lecture Notes in Computer Science, vol 11659. Springer, pp.129-138.

11. I. Lashkov, A. Kashevnik, A. Ronzhin. Ontology-based Personalisation for Online Driver Monitoring by Smartphone, Comptes rendus de l’Acade'mie bulgare des Sciences, vol. 72, no. 5, 2019, pp. 650-657.

12. I. Lashkov, A. Kashevnik. Smartphone-Based Intelligent Driver Assistant: Context Model and Dangerous State Recognition Scheme // Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol. 1038, Springer, 2020, pp. 152-165.

13. A. Kashevnik, N. Teslya, A. Ponomarev, I. Lashkov, A. Mayatin, V. Parfenov (2020) Driver Monitoring Cloud Organisation Based on Smartphone Camera and Sensor Data. In: Latifi S. (eds) 17th International Conference on Information Technology–New Generations (ITNG 2020). Advances in Intelligent Systems and Computing, vol 1134. Springer, pp. 593-600.

14. A. Kashevnik, I. Lashkov, A. Gurtov. Methodology and Mobile Application for Driver Behavior Analysis and Accident Prevention // IEEE Transactions on Intelligent Transportation Systems, pp. 1-10, 2019 (Q1).

15. A. Kashevnik, A. Ali, I. Lashkov, N. Shilov, "Seat Belt Fastness Detection Based on Image Analysis from Vehicle In-abin Camera," 2020 26th Conference of Open Innovations Association (FRUCT), Yaroslavl, Russia, 2020, pp. 143-150.

16. A. Kashevnik, D. Kalyazina, V. Parfenov, A. Shabaev, O. Baraniuc, I. Lashkov, M. Khegai. “Ontology-Based Human-Robot Interaction: An Approach and Case Study on Adaptive Remote Control Interface.” ICR (2018), vol. 11097, pp. 116-125.

17. A. Kashevnik, I. Lashkov. 2018. Decision Support System for Drivers and Passengers: Smartphone-Based Reference Model and Evaluation. In Proceedings of the 23rd Conference of Open Innovations Association FRUCT (FRUCT’23), Helsinki, Uusimaa, FIN, no. 22, pp. 166–171.

18. A. Fedotov, I. Lashkov, A. Kashevnik. Web-Service for Drive Safely System User Analysis: Architecture and Implementation. In Proceedings of the 22st Conference of Open Innovations Association FRUCT (FRUCT’22), Helsinki, Uusimaa, FIN, no. 6, pp. 40–47, 2018.

19. A. Kashevnik, A. Fedotov, I. Lashkov. Dangerous Situation Prediction and Driving Statistics Accumulation Using Smartphone // International Conference on Intelligent Systems, Portugal, 2018, pp. 521-527.

20. A. Kashevnik, I. Lashkov, V. Parfenov, N. Mustafin, O. Baraniuc. Context-Based Driver Support System Development: Methodology and Case Study. In Proceedings of the 21st Conference of Open Innovations Association FRUCT (FRUCT’21). Helsinki, Uusimaa, FIN, 2017, pp. 162–171.

21. A. Smirnov, A. Kashevnik, I. Lashkov. Human-Smartphone Interaction for Dangerous Situation Detection and Recommendation Generation While Driving. Speech and Computer: 18th International Conference, SPECOM 2016, Hungary, 2016, pp. 346-353.

22. N. Hashimoto, T. Okuma, S. Miyakoshi, K. Tomita, O. Matsumoto, A. Smirnov, A. Kashevnik, I. Lashkov. 2016. Use cases for rider assistant mobile application evaluation using travelling simulator. In Proceedings of the 19th Conference of Open Innovations Association FRUCT (FRUCT’19), Helsinki, Uusimaa, FIN, pp. 47–53.

23. A. Smirnov, A. Kashevnik, I. Lashkov, O. Baraniuc, V. Parfenov. 2016. Smartphone-based identification of dangerous driving situations: Algorithms and implementation. In Proceedings of the 18th Conference of Open Innovations Association FRUCT (FRUCT ’18), Helsinki, Uusimaa, FIN, pp. 306–313.

24. A. Smirnov A., A. Kashevnik, N. Shilov, I. Lashkov Driver Assistant in Automotive Socio-cyberphysical System: Reference Model and Case Study In: VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems - 2016, pp. 104-111.

25. I. Lashkov, A. Smirnov, A. Kashevnik, V. Parfenov (2015) Ontology-Based Approach and Implementation of ADAS System for Mobile Device Use While Driving. In: Klinov P., Mouromtsev D. (eds) Knowledge Engineering and Semantic Web. KESW 2015. Communications in Computer and Information Science, vol 518. Springer.

26. A. Smirnov, A. Kashevnik, I. Lashkov, N. Hashimoto, A. Boyali. 2015. Smartphone-based two-wheeled self-balancing vehicles rider assistant. In Proceedings of the 17th Conference of Open Innovations Association FRUCT (FRUCT’17), Helsinki, Uusimaa, FIN, pp. 201–209.

27. Mobile service to prevent dangerous situation prevention and generate recommendations for a driver while driving using front-facing camera and smartphone sensors (Drive Safely) // A. Smirnov, A. Kashevnik, I. Lashkov # 2017614256 from April 10, 2017 (Rospatent).

28. Driving dangerous state determination on public roads based on the use of monitoring situation inside the vehicle cabin. Inventor: SPIIRAS. Authors: I. Lashkov, A. Kashevnik, A. Smirnov, # RU2 703 341C1.

29. Multimodal Corpus for Russian Audio-Visual Speech in Cars. Inventor: SPC RAS. Authors: I. Lashkov, Aksenov A., Ruymin D., Ivanko D., Karpov A., Kashevnik A., #2020622063 from October 27, 2020 (Rospatent).