Stanford University

Showing 221-230 of 2,254 Results

• Naewon Kang

  Postdoctoral Scholar, Ophthalmology
  

  • Contact Info

    Mail Code: 5353

    nwkang@stanford.edu
• Ryan Kang

  Masters Student in Computer Science, admitted Autumn 2020
  

  • Contact Info

    Mail Code: 9025

    txryank@stanford.edu
• 

  Seogi Kang

  Physical Sci Res Scientist
  

  Current Research and Scholarly InterestsTo construct basis of groundwater sustainability plan in California, we develop an effective workflow that can map 3D hydrogeology of the subsurface by using airborne electromagnetic data that can cover large area fast.

  • Contact Info

    Mail Code: 2215

    sgkang09@stanford.edu
• Seohyeong Kang

  Undergraduate, Vice Provost for Undergraduate Education
  

  • Contact Info

    jennak24@stanford.edu
• Serena Suyen Kang

  Casual - Non-Exempt, BeWell Programs
  Health & Wellness Advisor, BeWell Programs
  Staff, Central Mgmt-HR Benefits
  

  • Contact Info

    Mail Code: 6153

    serenak@stanford.edu
• Se Young Kang

  Ph.D. Student in Philosophy, admitted Autumn 2018
  Summer Course Assistant, Philosophy
  

  • Contact Info

    Mail Code: 2155

    skang7@stanford.edu
• Zixuan Kang

  Masters Student in Computer Science, admitted Autumn 2021
  

  • Contact Info

    kangzx@stanford.edu
• Stephen Dongmin Kang

  Sr Res Scientist-Physical, Materials Science and Engineering
  
• Taeuk Kang

  Student Employee, Computer Science
  Undergraduate, Computer Science
  

  • Contact Info

    Mail Code: 4035

    taeuk@stanford.edu
• 

  Xiaojian Kang

  Affiliate, Rad/Radiological Sciences Laboratory
  

  BioDr Kang received his PhD in Physics and MS in Computer Science from Indiana University Bloomington in September of 1998. Then he joined Diagnostic Imaging Science Center at University of Washington in Seattle for postdoctoral research.
  In September of 2000, he worked as an MR Physicist in the Human Cognitive Neurophysiology Laboratory in Department of Neurology at University of Californian at Davis. His tasks were to maintain and modify the sequences for MR research on a 3 T Siemens Verio scanner and a 1.5 T Philips Eclipse scanner, and develop new procedures for MR data analysis, statistics and visualization. He has published 20+ papers to introduce the innovative methods for MR data analysis, which including the local landmark method, high-resolution space method, and cortical surface projection mapping method, and automated method to detect brain abnormalities. All of the methods have been applied successfully to the MR researches in the lab.
  In September of 2017, he joined as an MR Physicist in Palo Alto Veterans Institute for Research (PAVIR) at VA Palo Alto and the Adamson Brain Stimulation Lab in the Department of Neurosurgery at Stanford University.His main tasks are to participate in the research projects funded by Department of Veterans Affairs and Department of Defense, and administration of windows and linux servers for neuroimaging studies.
  
  Professional Education
  •PhD in Physics, Indiana University Bloomington (1998).
  •MS in Computer Science, Indiana University Bloomington (1998).
  •MS in Electronic Engineering, Xi’an Jiaotong University, P. R. China (1987).
  •BS in Electronic Engineering, Xi’an Jiaotong University, P. R. China (1984).