Mrs. Farha Khan is an emerging researcher working at the intersection of mathematics, artificial intelligence, and data-driven technologies. She has earned certifications in Vedic Mathematics from IIVA and Career Counseling from Univariety, strengthening her analytical and mentoring capabilities. Her academic and professional journey reflects a strong commitment to applying computational intelligence to real-world challenges, particularly through the use of AI and machine learning methodologies.

Research Interests & Expertise

Mrs. Khan’s primary research interests lie in:

• Machine Learning (ML) and Artificial Intelligence (AI)

• Mathematical Modeling

• Unstructured Data Analysis

• Predictive and Interventional Algorithmic Systems

Her work focuses on integrating advanced computational tools with mathematical frameworks to derive meaningful insights from complex, unstructured datasets across multiple domains.

Research Publications

Mrs. Khan has contributed to peer-reviewed journals through impactful research on AI-driven data analysis:

• “Machine Learning (ML) and Artificial Intelligence (AI) Approaches to Unstructured Data” — Pure and Applied Mathematical Journal, 2025.

• “Applications for AI and ML in the Analysis of Unstructured Data Across Various Sectors” — Journal of Ultra Scientist of Physical Sciences, 2025.

These publications highlight her role in advancing the understanding of computational methods for unstructured data processing.

Patent Contribution

She has filed a significant patent titled:
CIEWS: A Casual Interventional Early Warning System for Suicide Risk Using Dynamic Mathematical and AI-Driven Modeling
(Patent Filed, Under Review).

This innovation demonstrates her commitment to societal impact, combining mathematical modeling, behavioral insights, and artificial intelligence to create early-warning systems for mental health risk assessment.

Conferences & Professional Exposure

Mrs. Khan has actively participated in national and international scientific platforms, including:

• International Conference on Advances in Science & Engineering (ICASE 2025)

• International Conference on a Multidisciplinary Approach Toward Sustainability and Development (2024)

• 4th International Conference on Recent Trends in Advanced Sciences and Computing (ICRATSC-25)

These engagements showcase her ongoing involvement in global scientific discourse.

Eligibility for Women Researcher Award

Given her strong research contributions, innovative patent work, and active presence in scientific conferences, Mrs. Farha Khan is highly eligible for the Women Researcher Award under Scientific Laurels.
Her multidisciplinary research, impactful publications, and commitment to developing AI-based solutions for societal challenges make her a compelling candidate for recognition in women-focused scientific achievement categories.