Ph.D, Electrical Engineering, University of Colorado at Boulder, CO US, 2004
M.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2001
B.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 1997Research Area:
Optics and Photonics
Research Interests:
- Machine learning for computational materials design,
- The development and applications of new methods for large-scale atomistic calculations,
- Understanding and modeling of non-locality in dynamical systems with an emphasis on time-delay systems.
- Multi-objective multi-scale inverse computational systems and devices design
Publications:
https://pure.kfupm.edu.sa/en/persons/fahhad-alharbi/publications/
Courses Taught:
EE 207 Signals and Systems EE 315 Probabilistic Methods in Electrical Engineering EE 340 Electromagnetic Waves and Applications EE 530 Radiation and Propagation of Electromagnetic Waves EE 635 Computational Electromagnetics PHYS 473 Materials Informatics PHYS 573 Materials Informatics
Dr. Fahhad Alharbi Professor Building 59 Room 2082 +966 13 860 2337 fahhad.alharbi@kfupm.edu.sa Website ORCID ID Google Scholar LinkedIn
Ph.D, Electrical Engineering, University of Colorado at Boulder, CO US, 2004
M.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2001
B.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 1997Research Area:
Optics and Photonics
Research Interests:
- Machine learning for computational materials design,
- The development and applications of new methods for large-scale atomistic calculations,
- Understanding and modeling of non-locality in dynamical systems with an emphasis on time-delay systems.
- Multi-objective multi-scale inverse computational systems and devices design
Publications:
https://pure.kfupm.edu.sa/en/persons/fahhad-alharbi/publications/
Courses Taught:
EE 207 Signals and Systems EE 315 Probabilistic Methods in Electrical Engineering EE 340 Electromagnetic Waves and Applications EE 530 Radiation and Propagation of Electromagnetic Waves EE 635 Computational Electromagnetics PHYS 473 Materials Informatics PHYS 573 Materials Informatics
Dr. Fahhad Alharbi Professor Building 59 Room 2082 +966 13 860 2337 fahhad.alharbi@kfupm.edu.sa Website ORCID ID Google Scholar LinkedIn
Ph.D, Electrical Engineering, University of Colorado at Boulder, CO US, 2004
M.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2001
B.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 1997Research Area:
Optics and Photonics
Research Interests:
- Machine learning for computational materials design,
- The development and applications of new methods for large-scale atomistic calculations,
- Understanding and modeling of non-locality in dynamical systems with an emphasis on time-delay systems.
- Multi-objective multi-scale inverse computational systems and devices design
Publications:
https://pure.kfupm.edu.sa/en/persons/fahhad-alharbi/publications/
Courses Taught:
EE 207 Signals and Systems EE 315 Probabilistic Methods in Electrical Engineering EE 340 Electromagnetic Waves and Applications EE 530 Radiation and Propagation of Electromagnetic Waves EE 635 Computational Electromagnetics PHYS 473 Materials Informatics PHYS 573 Materials Informatics
Dr. Fahhad Alharbi Professor Building 59 Room 2082 +966 13 860 2337 fahhad.alharbi@kfupm.edu.sa Website ORCID ID Google Scholar LinkedIn
Ph.D, Electrical Engineering, University of Colorado at Boulder, CO US, 2004
M.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2001
B.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 1997Research Area:
Optics and Photonics
Research Interests:
- Machine learning for computational materials design,
- The development and applications of new methods for large-scale atomistic calculations,
- Understanding and modeling of non-locality in dynamical systems with an emphasis on time-delay systems.
- Multi-objective multi-scale inverse computational systems and devices design
Publications:
https://pure.kfupm.edu.sa/en/persons/fahhad-alharbi/publications/
Courses Taught:
EE 207 Signals and Systems EE 315 Probabilistic Methods in Electrical Engineering EE 340 Electromagnetic Waves and Applications EE 530 Radiation and Propagation of Electromagnetic Waves EE 635 Computational Electromagnetics PHYS 473 Materials Informatics PHYS 573 Materials Informatics
Dr. Fahhad Alharbi Professor Building 59 Room 2082 +966 13 860 2337 fahhad.alharbi@kfupm.edu.sa Website ORCID ID Google Scholar LinkedIn
Ph.D, Electrical Engineering, University of Colorado at Boulder, CO US, 2004
M.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2001
B.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 1997Research Area:
Optics and Photonics
Research Interests:
- Machine learning for computational materials design,
- The development and applications of new methods for large-scale atomistic calculations,
- Understanding and modeling of non-locality in dynamical systems with an emphasis on time-delay systems.
- Multi-objective multi-scale inverse computational systems and devices design
Publications:
https://pure.kfupm.edu.sa/en/persons/fahhad-alharbi/publications/
Courses Taught:
EE 207 Signals and Systems EE 315 Probabilistic Methods in Electrical Engineering EE 340 Electromagnetic Waves and Applications EE 530 Radiation and Propagation of Electromagnetic Waves EE 635 Computational Electromagnetics PHYS 473 Materials Informatics PHYS 573 Materials Informatics
Dr. Fahhad Alharbi Professor Building 59 Room 2082 +966 13 860 2337 fahhad.alharbi@kfupm.edu.sa Website ORCID ID Google Scholar LinkedIn
Ph.D, Electrical Engineering, University of Colorado at Boulder, CO US, 2004
M.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2001
B.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 1997Research Area:
Optics and Photonics
Research Interests:
- Machine learning for computational materials design,
- The development and applications of new methods for large-scale atomistic calculations,
- Understanding and modeling of non-locality in dynamical systems with an emphasis on time-delay systems.
- Multi-objective multi-scale inverse computational systems and devices design
Publications:
https://pure.kfupm.edu.sa/en/persons/fahhad-alharbi/publications/
Courses Taught:
EE 207 Signals and Systems EE 315 Probabilistic Methods in Electrical Engineering EE 340 Electromagnetic Waves and Applications EE 530 Radiation and Propagation of Electromagnetic Waves EE 635 Computational Electromagnetics PHYS 473 Materials Informatics PHYS 573 Materials Informatics
Dr. Fahhad Alharbi Professor Building 59 Room 2082 +966 13 860 2337 fahhad.alharbi@kfupm.edu.sa Website ORCID ID Google Scholar LinkedIn
Ph.D, Electrical Engineering, University of Colorado at Boulder, CO US, 2004
M.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2001
B.S., Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 1997Research Area:
Optics and Photonics
Research Interests:
- Machine learning for computational materials design,
- The development and applications of new methods for large-scale atomistic calculations,
- Understanding and modeling of non-locality in dynamical systems with an emphasis on time-delay systems.
- Multi-objective multi-scale inverse computational systems and devices design
Publications:
https://pure.kfupm.edu.sa/en/persons/fahhad-alharbi/publications/
Courses Taught:
EE 207 Signals and Systems EE 315 Probabilistic Methods in Electrical Engineering EE 340 Electromagnetic Waves and Applications EE 530 Radiation and Propagation of Electromagnetic Waves EE 635 Computational Electromagnetics PHYS 473 Materials Informatics PHYS 573 Materials Informatics
Dr. Fahhad Alharbi Professor Building 59 Room 2082 +966 13 860 2337 fahhad.alharbi@kfupm.edu.sa Website ORCID ID Google Scholar LinkedIn