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» Dr Artem LenskiyDr Artem Lenskiy
Education
- MS in Applied Mathematics, Johns Hopkins University, expected 2020
- PhD in Electrical Engineering, University of Ulsan, 2010
- MS in Computer Engineering (Data analysis and Signal processing), Novosibirsk State Technical University, 2004
- BS in Computer Engineering, Novosibirsk State Technical University, 2002
Work experience
- Research fellow - Level C (ANU), Sep 2019 ~
- Assistant professor (Koreatech), Mar 2011 ~ Sep 2019
- Graduate student supervision
- Effects of leave of absence on the academic performance of undergraduate students in Korea (2018)
- Echo state networks in modeling chaos (2018)
- Characterizing the cognitive workload by analysing blink rate variability dynamics (2017)
- Probabilistic approach for item genre prediction utilizing users’ perception (2016)
- Moment based classification in comparison to kNN (2016)
- Educational mobile robot platform (2015)
- Perception system for autonomous vehicles (2014)
- Selected sponsored research
- Educational mobile robot platform (Korea Industrial Technology Evaluation Management Service, and Human Resource Development Institute)
- Autonomous vehicle competition (Agency for Defense Development(Korea) and Hyundai motor group)
- Ground terrain recognition for autonomous military vehicle (Agency for Defense Development(Korea))
- Research intern (RIKEN), Summer 2011
Source codes
Ask me questions at
- Probability theory and random processes (2011~2018)
- Introduction to programming (2011~2018)
- C programming (2011~2018)
- Data communcation (2012~2016)
- Computer networks (2012~2017)
- Computer architecture (2011)
- Digital systems(2011)
- Linear models for time-series analysis (2017~2018)
- Matrix theory and applications (2017~2018)
- Differential equations (2018)
- Real analysis (2019)
- Introduction to mathematical fondations of machine learning (2019)
Current research interests
- Physiological and medical data analysis
- Moment-based learning
- Counting integer partitions
- Financial market analysis
Past research interests
- Recommender systems
- Reservoir computing
- Methods for estimating multi-fractal spectra
- Computer vision for autonomous ground vehicles
- Haotian Weng, Artem Lenskiy A Trend-following Trading Indicator on Homomorphically Encrypted Data The 17th International Conference on Security and Cryptography (SECRYPT 2020), July 2020
- Artem Lenskiy, Raad Shariat, Soonuk Seol The effect of academic breaks on undergraduate academic performance The International Journal of Electrical Engineering & Education, May 2020
- R. Paprocki, A. Lenskiy, What does eye-blink rate variability dynamics tell us about cognitive performance? Frontiers in human neuroscience, 19 Dec 2017.
- K. Pawelec, A. Lenskiy, A Moment-Based Classification Algorithm and Its Comparison to the K-Nearest Neighbours for 2-Dimensional Data. IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 2016
- A.A. Lenskiy, E. Makita, Bayesian Approach to Users' Perspective on Movie Genres, Journal of information and communication convergence engineering 15, 43-48
- A.A. Lenskiy, Y. Aitzhan, Extracting heart rate variability from a smartphone camera, Journal of information and communication convergence engineering 11 (3), 216-222
- W. Bucaoto, H.J .Kim, A. Lenskiy, Fractal analysis and the effect of ageing on the heart rate and breathing frequency relationship, International Conference on Signal Processing, Image Processing, and Pattern, Springer, Berlin, Heidelberg
- A.A. Lenskiy, S Seol, The analysis of R/S estimation algorithm with applications to WiMAX network traffic, International Journal of Multimedia and Ubiquitous Engineering 7 (3), 27-34
- A.A. Lenskiy, J.S. Lee, Driver’s eye blinking detection using novel color and texture segmentation algorithms, International journal of control, automation and systems 10 (2), 317-327
- A. Lenskiy, J.S. Lee, Machine Learning for Visual Navigation of Unmanned Ground Vehicles, Computational Modelling and Simulation of Intellect: Current State and Future Perspectives, IGI Global 2011.
- IoT Codefest: Video transmission using multi-level content awarecompression based on object detection. (Placed 2nd in Cisco Korea IoT Codefest 2014)
- Agency for Defense Development autonomous vehicle competition (Placed 4th, 2012)
- Hyundai autonomous vehicle competition (Placed 4th, 2013)
