23 Nov 2025
Machine learning model for prediction on skull’s landmarks.Publisher siteUniversitiesAshraf Elsayed
Active, last published 2026
In quantum computing algorithms and architecture
Ashraf
Elsayed
Scholar“Research focused on Quantum Computing Algorithms and Architecture and adjacent fields.”
Universiti Teknologi Petronas
Claim Your Profile8
H-index
240
Citations
Ashraf has not officially claimed their profile. If you are Ashraf, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
shraf Elsayed is a researcher working on Quantum Computing Algorithms and Architecture. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Ashraf's work has been cited 240 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Quantum Computing Algorithms and Architecture×5Solar Radiation and Photovoltaics×5Quantum Information and Cryptography×4Quantum-Dot Cellular Automata×4Photovoltaic System Optimization Techniques×3
04 · Where I am
Affiliations
Affiliation on published researchUniversiti Teknologi PetronasDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
3 works8 Dec 2024Open access
A Fashion Recommendation System Based on Transfer Learning and Deep Ensemble Model: Enhancing Style PredictionPublisher siteIJCI International Journal of Computers and Information, Computational and Text Analysis Methods
29 Dec 2023Open access7cites
Evaluation and performance comparison of different models for global solar radiation forecasting: a case study on five citiesPublisher siteEnvironment Development and Sustainability, Solar Radiation and Photovoltaics
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Ashraf?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you