Prof. Sathish Gopalakrishnan — Research Profile
University of British Columbia · Electrical and Computer Engineering
About
Prof. Sathish Gopalakrishnan at University of British Columbia Electrical and Computer Engineering lists Real-time systems, distributed systems, resource management as their registered research area.
Research keywords
Recent papers
- Job Scheduling with Battery Recharging ConstraintsPreprintarXiv (Cornell University) · Oct 1
- Structuring Sustainability Education: The Canadian Engineering LandscapeProceedings of the Canadian Engineering Education Association (CEEA) · Aug 7
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Scheduling and Optimization Algorithms
Analytics Lab
KAIST · Industrial and Systems Engineering
Multi-objective batching-dispatching framework for parallel machine scheduling with job familiesComputers & Industrial Engineering · Aug 24In-Beom Park
Dongguk University · Industrial Engineering
Scheduling unrelated parallel machines with sequence-dependent family setups via deep reinforcement learning-driven rollout and adaptive batchingSwarm and Evolutionary Computation · Sep 20SDM Lab
KAIST · Industrial and Systems Engineering
Layout-driven fleet sizing of multiple-load mobile transport systemsInternational Journal of Production Research · Sep 24
Other labs in this department
- Adrien Desjardins 교수 연구실
Imaging, sensing, robotics, optics, ultrasound, machine learning, biomedical applications
- Alberto Padoan 교수 연구실
Optimization, learning, control, mathematical biology, cyber-physical systems
- Alexandra Fedorova 교수 연구실
Computer system performance, energy efficiency, memory and CPU resource management
- Ali Mesbah 교수 연구실
Software engineering, testing, dynamic analysis, software evolution and maintenance
- Alireza Nojeh 교수 연구실
Nanostructures, carbon nanotubes, electron emission, vacuum nanoelectronics, nanofabrication
- Andre Ivanov 교수 연구실
Silicon lifecycle management, IC reliability, VLSI design, machine learning for EDA