Nandinbaatar Tsog, Doctoral student


Nandinbaatar Tsog (Nabar) is a PhD student at Mälardalen University since August 2016. In the year 2006, he received his bachelor degree in Computer Science from the University of Electro-Communications, Japan. After few years of industrial experience, he finished his M.Sc. degree in Computer Science specializing in Intelligent Embedded Systems from Mälardalen University in 2016. The aim of his research is to investigate predictability in heterogeneous architectures such as HSA.

He is a member of the Dependable Platforms for Autonomous Systems and Control (DPAC) and Model-Based Engineering of Embedded Systems (MEES) research group at Mälardalen University. 

Teaching Activities:

  • DVA431 Embedded Systems 1 - 2016
  • DVA404 Embedded Systems 2 - 2016
  • DVA236 Real-time systems I, distance course - 2017
  • DVA454 Embedded Systems 1 - 2017
  • DVA404 Embedded Systems 2 - 2017 (TA & Lecture L7)
  • DVA104 Datastrukturer, Algoritmer och Programkonstruktion - 2017

 

Supervised Bachelor/Master Theses: 

  • Oskar Palmgren - "Evaluation Of Heterogeneous System Architecture For Embedded Computer Vision Systems" - 2016
  • Lennart Eriksson - "Robust Communication in Heterogeneous and Distributed Systems" - 2017
  • Lili Qi, Yanna Shi - "An Evaluation of Timing Improvements of SLAM Algorithm Using Heterogeneous System Architecture Compliant Platform" - 2017

 

Reviewer:

  • IEEE Real-Time Systems Symposium (RTSS), 2016.
  • IEEE International Symposium on Reliable Distributed Systems (SRDS), 2017.

[Show all publications]

[Google Scholar author page]

Latest publications:

Enabling radiation tolerant heterogeneous GPU-based onboard data processing in space (Jun 2020)
Fredrik Bruhn, Nandinbaatar Tsog, Fabian Kunkel, Oskar Flordal, Ian Troxel
CEAS Space Journal (CEAS20)

DPAC Newsletter Spring 2020 (May 2020)
Kristina Lundqvist, Mikael Sjödin, Saad Mubeen, Håkan Forsberg, Mikael Ekström, Cristina Seceleanu, Nandinbaatar Tsog, Jakob Danielsson, Mohammad Loni, Baran Çürüklü, LanAnh Trinh, Afshin Ameri E., Luciana Provenzano, Kaj Hänninen, Susanne Fronnå, Marjan Sirjani, Rong Gu, Masoud Daneshtalab, Sima Sinaei, Joakim Lindén

Static Allocation of Parallel Tasks to Improve Schedulability in CPU-GPU Heterogeneous Real-Time Systems (Oct 2019)
Nandinbaatar Tsog, Matthias Becker, Fredrik Bruhn, Moris Behnam, Mikael Sjödin
IEEE 45th Annual Conference of the Industrial Electronics Society (IECON'19)

A Trade-Off between Computing Power and Energy Consumption of On-Board Data Processing in GPU Accelerated Real-Time Systems (Jun 2019)
Nandinbaatar Tsog, Mikael Sjödin, Fredrik Bruhn
The 32nd International Symposium on Space Technology and Science (ISTS2019)

Using Docker in Process Level Isolation for Heterogeneous Computing on GPU Accelerated On-Board Data Processing Systems (May 2019)
Nandinbaatar Tsog, Mikael Sjödin, Fredrik Bruhn
12th IAA Symposium on Small Satellites for Earth Observation (IAASmallSat2019)

Using Heterogeneous Computing on GPU Accelerated Systems to Advance On-Board Data Processing (Feb 2019)
Nandinbaatar Tsog, Mikael Sjödin, Fredrik Bruhn
European Workshop on On-Board Data Processing 2019 (OBDP2019)