Dr Artem Lensky

Fellow
+61 2 61256188
+61405 555 553

Education

  • MS in Applied Mathematics, Johns Hopkins University, expected 2022
  • PhD in Electrical Engineering, University of Ulsan, 2010

Work experience

  • Research fellow - Level C (ANU), Sep 2019 ~
  • Assistant professor (Koreatech), Mar 2011 ~ Sep 2019
  • Graduate student supervision
  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 cognitive workload by analysing blink rate variability dynamics (2017)
  4. Probabilistic approach for item genre prediction utilizing users’ perception (2016)
  5. Moment based classification in comparison to kNN (2016)
  6. Educational mobile robot platform (2015)
  7. Perception system for autonomous vehicles (2014)
  • Selected 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

  1. Probability theory and random processes (2011~2018)
  2. Introduction to programming (2011~2018)
  3. C programming (2011~2018)
  4. Data communication (2012~2016)
  5. Computer networks (2012~2017)
  6. Computer architecture (2011)
  7. Digital systems(2011)
  8. Linear models for time-series analysis (2017~2018)
  9. Matrix theory and applications (2017~2018)
  10. Differential equations (2018)
  11. Real analysis (2019)
  12. Introduction to mathematical foundations 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
  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:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing