Skip to main content

CEMSE Join Us

  • Join Us
    • Prospect Sign Up
    • Study at KAUST
    • Work at KAUST
    • CEMSE Openings
    • Internships
    • KAUST Alumni Community
    • Campus Life
  • Ask a Student

Top Header Form Menu

  • News
  • Events
Home

CEMSE

Computer, Electrical and Mathematical Sciences and Engineering

CEMSE Main navigation

  •  
  • About
    • About CEMSE
    • CEMSE Openings
    • Contacts
  • Research
    • Research Groups
    • Research Highlights
    • Research Centers
    • Research Initiatives
  • People
    • All People
    • Faculty
    • Research Scientists
    • Research Staff
    • Students
    • Administrative Staff
  • Programs
    • Prospect Sign Up
    • Applied Mathematics and Computational Science
    • Computer Science
    • Electrical and Computer Engineering
    • Statistics
  • Study
  • Internships
  • Campus Life
    • Life at KAUST
    • Accomodation
    • Health Care
    • International School and Daycare
    • Services
    • Athletics & Recreation
Julian Gutierrez picture CEMSE

Julian David Gutierrez Pineda

PhD Student, Applied Mathematics and Computational Sciences
  • AMCS
  • CEMSE
  • Applied Partial Differential Equations
  • Mean Field Games
  • Applied Machine Learning
Students
KAUST CEMSE generic avatar

Christos Sapsanis

MS Degree, Electrical and Computer Engineering
  • CEMSE
  • ECE
  • Mixed-Mode ASIC Design
  • Biomedical Signal Processing
  • embedded systems
Alumni
KAUST CEMSE EE CTL Rudi Coppola

Rudi Coppola

MS Degree, Electrical and Computer Engineering
  • CTL
  • CEMSE
  • ECE
  • RISC (archived)
  • Wireless communication
  • Applied Machine Learning
  • FMCW radar
Alumni
KAUST-CEMSE-AMCS-Mathematics-Application-Colloquium-Prof-Charalambos-Makridakis-Numerical-Methods-Energy-Minimisation
Numerical Methods for Energy Minimisation: Application to Machine Learning Algorithms
Prof. Charalambos Makridakis, Director of the Institute of Applied and Computational Mathematics of FORTH, Greece
Tuesday, April 04, 16:00
- 17:00
Building 2, Level 5, Room 5220
  • AMCS
  • CEMSE
  • numerical methods
  • energy
  • minimization
Mathematics and Applications Colloquium
KAUST-CEMSE-STAT-AMCS-Graduate Seminar-Multilevel Bayesian-Neural Networks
Multilevel Bayesian Neural Networks
Tuesday, November 01, 12:00
- 13:00
Building 9, Level 2, Room 2322
  • Bayesian computational technique
  • Applied Machine Learning
Graduate Seminar

KAUST SSO Login

CEMSE - Computer, Electrical and Mathematical Sciences and Engineering Division
  • Applied Mathematics and Computational Sciences (AMCS)
  • Computer Science (CS)
  • Electrical and Computer Engineering (ECE)
  • Statistics (STAT)
Biological and Environmental Sciences Engineering Division
  • Bioscience (B)
  • Bioengineering (BioE)
  • Environmental Science and Engineering (EnSE)
  • Marine Science (MarS)
  • Plant Science (PS)
Physical Science and Engineering Division
  • Applied Physics (AP)
  • Chemical and Biological Engineering (CBE)
  • Chemical Science (ChemS)
  • Earth Science and Engineering (ErSE)
  • Energy Resources and Petroleum Engineering (ErPE)
  • Material Science and Engineering (MSE)
  • Mechanical Engineering (ME)
Study
  • Apply to KAUST
  • MS Degree
  • PhD Degree
  • IDB-KAUST Scholarship
Expanding Knowledge
  • Enrichment Program Office
  • Alumni Affairs
  • KAUST Library
Student Affairs
  • Registrar’s Office
  • Graduate Services
Living in KAUST
  • Our Community
  • School and Daycare
  • Services
  • Accommodation
About KAUST
  • KAUST History
  • Our Videos
  • Interactive Map (Google Maps)
  • Interactive Map (KAUST Intranet)
  • KAUST Administration
  • Our Green Campus
  • KAUST Museum
  • Research at KAUST
  • Connecting Research & Industry
  • Faculty
  • Careers
  • Photo Galleries
  • Media Relations
  • Privacy Policy
Latest from KAUST
  • KAUST Stories
  • KAUST Events Calendar
  • The Beacon Newspaper
CEMSE Division
  • Our Videos on YouTube
  • CEMSE on Facebook 
  • CEMSE on Twitter
  • Interactive Map
  • CEMSE Faculty
  • Research Groups
  • Contact Us
Research Centers
  • Center of Excellence for NEOM Research at KAUST
  • Computational Bioscience Research Center
  • Visual Computing Center
  • Extreme Computing Research Center
  • Resilient Computing and Cybersecurity Center
Research Initiatives
  • KAUST CEMSE AI Research Initiative
  • Sensor Initiative 
  • Technology Innovation Center for Solid State Lighting at KAUST
  • The Machine Learning Hub @ KAUST
Follow us

©2023 King Abdullah University of Science and Technology. All rights reserved. Privacy Policy ᛫ Terms of Use