Lauri Koskinen profile picture
Professor of Practice, Robotics and Autonomous Systems
Professor of Practice
Integrated circuits


+358 41 461 6166
Assistentinkatu 7

Areas of expertise

System-on-Chip architecture: Low-power processing
Verification and sign off
Neuromorphic computing / CiM
On-chip security
Mixed-Mode Processing
Audio & Video analysis
Ultra-low-power digital design: Processor architecture / RISC-V
Sub- and near-threshold design
Library characterization
Semiconductor statistics
R&D Commercialization / IP protection
Semiconductor business development: Patenting
Power management: Integrated DC-DC converters
Project management / team lead


Wide expertise ranging from ultra-low-power aspects of deep submicron transistors to the high-level realization of various systems (microcontrollers, deep learning, wireless biomedical sensors, audio and video coders).

Proven track record in commercializing R&D

Excellent communication skills.

Wide range of research contacts from IC design to medical expertise.

Considerable skills in innovative project proposal drafting


Processor architecture, Digital and mixed-mode IC design, modern EDA design flow


Energy Minimization in small to big systems using both conventional and unconventional methods.


Sort by:

A 5.3 pJ/op Approximate TTA VLIW Tailored for Machine Learning (2017)

Microelectronics Journal
Jukka Teittinen, Markus Hiienkari, Indrė Žliobaitė, Jaakko Hollmen, Heikki Berg, Juha Heiskala, Timo Viitanen, Jesse Simonsson, Lauri Koskinen
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Minimum-Energy Point Design in FDSOI Regular-V-t (2015)

IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference (S3S)
Koskinen L, Hiienkari M, Turnquist M, Flatresse P
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))