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Razan Alharith (Southwest Jiaotong University) China

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Biography

Razan Alharith is an AI Researcher and Growth Consultant dedicated to tech-driven social change. As a PhD scholar at Southwest Jiaotong University, she blends academic excellence with real-world impact, bridging research, entrepreneurship, and community leadership. Razan has been a driving force in Sudan’s tech ecosystem, serving as a leader within IEEE Sudan, organizing TEDx, and representing Sudan at the Global Entrepreneurship Congress. A recipient of the prestigious Chinese Scholarship, she has authored meaningful research in AI and Data Science. Beyond the lab, Razan is a powerful digital influencer, recognized as one of the top Data Science content creators in the Arab world. Through her brand, Start with a Question, and as the host of Razan’s Talks, she equips the next generation of innovators with confidence, clarity, and purpose advancing women in STEM and leadership on a global stage.

Education:

  1. Southwest Jiaotong University (SWJTU) – PhD in Artificial Intelligence and computing
  2. University of Khartoum – MSc in Business Intelligence
  3. Al-Zaeem Al-Azhari University (AAU) – BSc in computer science and information technology
Location

Pidu District, Chengdu, Sichuan, People's Republic of China

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Country and Global
  • China
  • Asia
  • East Asia
  • Islamic World
  • Arab
Languges
  • Arabic
  • English
  • Chinese
Member of other Expert Networks
Sustainable Development Goals
  • SDG4
  • SDG8
  • SDG9
  • SDG17
  • SDG3
Video
Subjects
  • Applied Medical Sciences
  • Artificial Intelligence
  • Biomedical Science
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  • Women-Wasd
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  • Keynote (Academics & Researchers)
  • Keynote (Girls & Women)
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Social Networks
  • LinkedIn
  • Facebook
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Subjects
  • Applied Medical Sciences
  • Artificial Intelligence
  • Biomedical Science
Societies
  • Institution of Electrical and Electronic Engineers (IEEE)
Qualifications
  • BSc
  • MSc
Universities

Southwest Jiaotong University (China)
University of Khartoum (Sudan)
Al-Zaeem Al-Azhari University (Sudan)

Research Interest/Publications

2026

  1. Concept-Based Explanation for Deep Vision Models: A Comprehensive Survey on Techniques, Taxonomy, Applications, and Recent Advances. Authors: R. Alharith, J. Zhang, A. O. Ibrahim, Z. Wu, Journal: International Journal of Computer Vision

2025

  1. Enhancing Dermatological Diagnostics: Lightweight Segmentation Models for Skin Lesions. Authors: R. Alharith, A. O. Ibrahim, M. Saleh, R. Alfred, K. Chekima, A. Al-Ani, S. Fattah, Conference: 2025 International Conference on Advances in Machine Intelligence.

  2. MobileNet-based Tuberculosis Segmentation in Chest X-Rays: An Accuracy-Efficiency Trade-off Analysis. Authors: A. O. Ibrahim, R. Alharith, A. A. A. Mohammed, Y. B. Leau, C. K. On, I. M. I. Subroto, Conference: 2025 International Conference on Advances in Machine Intelligence.

  3. Anomaly Detection in IoT Healthcare Security using Machine Learning Methods. Authors: R. Alharith, H. Ahmed, A. O. Ibrahim, M. A. Saleh, A. Saule, A. SaltanatConference: 2025 IEEE 5th International Conference on Smart Information Systems

  4. Machine Learning for IoT Security: Detecting and Mitigating Cyber Anomalies. Authors: A. O. I. Elsayed, H. Ahmed, R. Alharith, N. Adam, Journal: International Journal of Software Engineering and Computer Systems.

  5. Early Detection of Breast Cancer with Microcalcifications on Mammography Using Deep Learning. Authors: A. O. Ibrahim, H. M. I. Abuharaz, M. A. Saleh, R. Alharith, Conference: 2025 4th International Conference on Computing and Information Technology.

2024

  1. Comparative Analysis of ResNet Models for Skin Cancer Diagnosis: Performance Evaluation and Insights. Authors: R. Alharith, A. O. Ibrahim, N. Wahid, R. Ghazali, A. Elsafi, Conference: International Conference on Soft Computing and Data Mining.

  2. Extraction of Association Rules from Cancer Patient's Records using FP Growth Algorithm. Authors: R. Alharith, M. Khalil, A. O. Ibrahim, S. H. BabikerJournal: ITM Web of Conferences.

Activities and Engagements
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    Pidu District, Chengdu, Sichuan, People's Republic of China

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