Zhonghai Lu (鲁中海)
Scholar

Zhonghai Lu (鲁中海)

Google Scholar ID: 8qbwszcAAAAJ
Professor at KTH Royal Institute of Technology, Sweden
Network-on-ChipDesign AutomationRealtime SystemsComputer Architecture
Citations & Impact
All-time
Citations
1,888
 
H-index
22
 
i10-index
51
 
Publications
20
 
Co-authors
6
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • PhD Thesis: 'Design and Analysis of On-Chip Communication for Network-on-Chip Platforms', KTH, March 2007
  • Licentiate Thesis: 'Using Wormhole switching for networks on chip: Feasibility analysis and micro-architecture adaptation', May 2005
  • Master’s Thesis: 'Refinement of a system specification for a digital equalizer into HW and SW implementations', December 2001
  • Published in top journals including IEEE TVLSI, IEEE Transactions on Industrial Electronics, ACM Computing Surveys, and IEEE TCAD
  • Key contributions: homogeneous resource allocator for NoC, RFID-based indoor localization, analytical latency models, fault-tolerant deflection routers, scalability analysis of memory consistency models in NoC
Research Experience
  • Two-year postdoctoral research at KTH after PhD
  • 11 years of industrial experience in circuit and system design between BSc and graduate studies
  • Currently Associate Professor leading the Dependable Autonomous Systems group at KTH
  • Pioneer in Network-on-Chip (NoC) research since 2000
  • Serves on TPCs for conferences including NoCS, NoC-Arc, SoCC, NPC, APPT, ASICon
Background
  • Associate Professor at the School of Information and Communication Technology (ICT), KTH Royal Institute of Technology
  • Leads the Dependable Autonomous Systems research group
  • Research interests include Network-on-Chip (NoC), MPSoC Architecture and Methodology, and Networked Embedded Systems
  • Coined the term 'Network-on-Chip (NoC)' in 2000; the group's NoC platform is called Nostrum
  • Developed the Nostrum NoC Simulation Environment (NNSE)
  • Developing the FORmal SYstem DEsign (FORSYDE) methodology
  • Also researching fault-tolerant, autonomous, low-cost, and ultra-low-power wireless sensor networks