Dr 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
  • Supervised numerous master and doctoral candidates
  1. Effects of leave of absence on the academic performance of undergraduate students in Korea (2018)
  2. Echo state networks in modeling chaos (2018)
  3. Characterizing the mental workload by analysing blink rate variability dynamics (2017)
  4. Probabilistic approach for item genre prediction utilizing users’ perception (2016)
  5. Moment based classification and comparison to kNN (2016)
  6. Educational mobile robot platform (2015)
  7. Perception system for autonomous vehicles (2014)
  • Taught graduate and undergraduate courses
  1. Probability theory and random processes (2011~2018)
  2. Introduction to programming (2011~2018)
  3. C programming (2011~2018)
  4. Data communcation (2012~2016)
  5. Computer networks (2012~2017)
  6. Linear models for time-series analysis (2017~2018)
  7. Matrix theory and applications (2017~2018)
  8. Differential equations (2018)
  9. Real analysis (2019)
  10. Introduction to mathematical fondations of machine learning (2019)
  • Sponsored research
  1. Educational mobile robot platform (Korea Industrial Technology Evaluation Management Service, and Human Resource Development Institute)
  2. Autonomous vehicle competition (Agency for Defense Development(Korea) and Hyundai motor group)
  3. Ground terrain recognition for autonomous military vehicle (Agency for Defense Development(Korea))
  • Research intern (RIKEN), Summer 2011

 

Source codes

https://github.com/Lenskiy

Ask me questions at

https://www.quora.com/profile/Artem-Lensky

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
  1. IoT  Codefest:  Video  transmission  using  multi-level  content  awarecompression based on object detection. (Placed 2nd in Cisco Korea IoT Codefest 2014)
  2. Agency for Defense Development autonomous vehicle competition (Placed 4th, 2012)
  3. Hyundai autonomous vehicle competition (Placed 4th, 2013)

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing