announcement
26
Aug 2024
A TV interview on the Saudi Arabic dialects in which I discuss the current status of the Saudi…
introduction/brief CV
I am a linguist and data professional passionate about solving challenges at the intersection of language, technology, and global collaboration. My expertise spans data annotation, data analysis, and Natural Language Processing (NLP), with a focus on scalable solutions for AI and machine learning, particularly in Arabic-language technologies.
Data-Driven Achievements
I’ve developed annotation workflows capable of processing over 100,000 linguistic samples, reducing annotation time by 30% and improving NLP model performance by 15%. Using Python, R, SQL, and platforms like Prodigy and Doccano, I deliver high-quality datasets for applications such as sentiment analysis and speech recognition.
Strategic Impact in Leadership
As Vice Chair of the Global Engagement Office at King Saud University, I built a comprehensive database of partnerships spanning the university’s history, enabling leaders to align strategic planning with engagement goals. This database streamlined decision-making processes, reduced planning time by 20%, and provided actionable insights into institutional achievements. Developed using the latest tools, it remains a critical resource for leadership.
Collaborative Problem-Solving
I thrive in interdisciplinary environments, mentoring teams and fostering collaboration to achieve meaningful outcomes. My ability to communicate technical insights to diverse audiences has been key in aligning workflows and objectives across projects.
Looking Ahead
I am exploring innovations in generative AI and multilingual NLP, with a focus on creating scalable, inclusive solutions that bridge linguistic gaps and support global engagement. I’m particularly interested in opportunities within tech companies, AI research labs, or organizations leveraging data to drive innovation.
areas of expertise
Areas of Expertise
1. Data Annotation and Analysis
• Designed annotation workflows capable of processing 100,000+ linguistic samples, reducing annotation time by 30% and improving NLP model accuracy by 15%.
• Automated data annotation processes using Python, R, and Prodigy, ensuring high-quality datasets for AI applications like sentiment analysis and speech recognition.
2. Natural Language Processing (NLP)
• Specialized in Arabic-language NLP technologies, including text-to-speech synthesis and emotion recognition.
• Combined linguistic insights with NLP models to enhance performance, focusing on multilingual and culturally diverse applications.
3. Database Development and Strategic Planning
• Built a comprehensive database of local partnerships and agreements spanning King Saud University’s history, streamlining decision-making and strategic planning processes.
• Enabled leaders to reduce planning time by 20% and align engagement goals with data-driven insights using advanced tools like SQL and Python.
4. Global Engagement and Organizational Strategy
• Increased international research collaborations by 30% as Vice Chair of the Global Engagement Office, enabling AI-focused partnerships across multiple countries.
• Leveraged data systems to highlight institutional achievements, supporting evidence-based decision-making for university leadership.
5. Interdisciplinary Collaboration and Mentorship
• Mentored 10+ interdisciplinary research teams, resulting in publications in high-impact journals and the successful alignment of data workflows with machine learning objectives.
• Fostered collaboration between linguists, data scientists, and engineers to ensure project success.
6. Academic Research and Publishing
• Published extensively on Arabic prosody, intonation, and computational linguistics in Web of Science-indexed journals.
• Advanced innovations in language technology, bridging theoretical linguistics with practical AI applications.
7. Innovations in AI and Multilingual NLP
• Exploring generative AI applications for synthetic dataset creation, focusing on scalability and inclusivity in underrepresented languages.
• Committed to addressing linguistic gaps through cutting-edge AI technologies informed by real-world data needs.
8. Programming and Data Tools
• Developed Python-based scripts to automate annotation workflows, reducing processing time by 30% in large-scale Arabic NLP projects.
• Advanced proficiency in R, SQL, and SPSS for data analysis, modeling, and visualization.
publications
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Published in:
Fractals
Nowadays, it is very tough to differentiate between real news and fake news due to fast-growing social networks and technological progress. Manipulative news is defined as calculated…
2024
Published in:
Mathematics
In this paper, we introduce an innovative approach that merges linguistic prompting with reinforcement learning to improve the quality of text summarization models. The primary focus is on…
2024
Published in:
Tehnički vjesnik
courses
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This course introduces the PhD students to the formal linguistics. It focuses on predicate logic and propositional logic. It will also introduce advanced semantics/pragmatics topics including…
The aim of this course is to enable you to gain insights into the principles of different translation theories (including "advanced"), and to be able to apply the theoretical principles…
The purpose of this course is to introduce students to the speech sounds as physical entities (phonetics) and as linguistic units (phonology). In viewing sounds as physical elements, the focus is…
office hours
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| from | _ | 01:00 PM | _ | 01:00 AM | 01:00 AM | _ | _ |
| to | _ | 07:07 PM | _ | 07:07 PM | 07:07 PM | _ | _ |
| location | _ | College of Humanities and Social Sciences- Floor Ground - Office AB2 College of Humanities and Social Sciences- Floor Ground - Office AB2 | _ | College of Humanities and Social Sciences- Floor Ground - Office AB2 College of Humanities and Social Sciences- Floor Ground - Office AB2 | College of Humanities and Social Sciences- Floor Ground - Office AB2 College of Humanities and Social Sciences- Floor Ground - Office AB2 | _ | _ |