Hongxiao Lv | Neuroscience | Best Researcher Award

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Dr. Hongxiao Lv | Neuroscience | Best Researcher Award

Dr. Hongxiao Lv | Neuroscience | Hebei University of Chinese Medicine | China

Dr. Hongxiao Lv is a dedicated and emerging researcher in the field of Traditional Chinese Medicine (TCM), particularly specializing in TCM syndrome differentiation and the treatment strategies for ischemic cerebrovascular diseases. Dr. Hongxiao Lv holds a comprehensive academic background, having completed a Bachelor’s degree in Chinese Materia Medica, followed by a Master’s degree in Acupuncture and Tuina, and currently pursuing doctoral research in TCM Diagnostics at Hebei University of Chinese Medicine, enabling her to integrate theoretical, clinical, and practical dimensions of TCM into her research endeavors. Her professional experience includes participating in academic research projects focused on the clinical mechanisms and therapeutic pathways of cerebrovascular disorders, contributing both analytical insights and evidence-based clinical viewpoints. She has authored and contributed to academic literature, including four research publications indexed in reputable scientific platforms and the book Practical Technologies of Traditional Chinese Medicine, which reflects her commitment to advancing clinical knowledge dissemination. Her research interests emphasize understanding pathogenesis patterns in ischemic cerebrovascular diseases, exploring diagnostic precision through syndrome differentiation, and developing treatment frameworks based on classical TCM theory combined with contemporary evidence-informed medical practice. Her research skills include TCM clinical syndrome analysis, integrative diagnostic interpretation, literature synthesis, experimental data review, research reporting, and collaboration in interdisciplinary research groups. She is a member of the Professional Committee on Integration of Traditional Chinese Medicine and Western Medicine, demonstrating her involvement in promoting the convergence of traditional therapeutic wisdom with modern biomedical practices. Awards and honors associated with her academic journey include recognition for scholarly merit, research performance, and program-based distinctions. In conclusion, Dr. Hongxiao Lv represents a committed young scholar with the ability to bridge traditional diagnostic systems with modern clinical challenges, contributing to the development of integrative treatment approaches in cerebrovascular disease management, and she continues to show promising potential for further academic growth, broader research collaboration, and international impact in the evolving field of Traditional Chinese Medicine research.

Academic Profile: ORCID

Featured Publication:

Lv, H. (n.d.). Research progress on the role of oxidative stress in the pathogenesis of vascular dementia and its treatment.

 

 

Ms. Zaib Unnisa | Brain Tumor Diagnosis | Best Researcher Award

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Ms. Zaib Unnisa | Brain Tumor Diagnosis | Best Researcher Award

Ms. Zaib Unnisa | Brain Tumor Diagnosis – PhD Scholar at Superior University Lahore, Pakistan

Zaib Unnisa is a dynamic academic and researcher in the domain of Computer Science and Information Technology, known for her innovative research in artificial intelligence, biomedical data analysis, and intelligent user interfaces. Her academic profile reflects a strong commitment to applying computational tools to real-world problems, particularly within the healthcare and education sectors. Through years of dedicated teaching and impactful publications, she has emerged as a promising figure in the scientific community. Her work bridges theory and practice, focusing on how AI can be ethically and efficiently applied to enhance everyday human experiences and institutional systems.

Profile Verified:

ORCID

Scopus

Google Scholar

Education:

Zaib’s academic foundation is marked by rigorous and progressive learning. She first completed her Master of Computer Science (MCS) from the International Islamic University in Islamabad, where she gained core competencies in software development, algorithm design, and systems architecture. Her passion for advancing technological solutions led her to pursue a Master of Science in Computer Science (MSCS) at The University of Lahore (Gujrat Campus), where she engaged with cutting-edge topics like neural networks and machine learning. Currently, she is enrolled in a Ph.D. program at Superior University, Lahore, focusing on intelligent computing systems, data mining, and medical diagnostics powered by AI.

Experience:

Zaib Unnisa brings over a decade of academic teaching experience. Most recently, she served as a Lecturer in CS & IT at the University of Gujrat (2021–2022), where she taught undergraduate courses and supervised final-year projects in AI and system design. Prior to this, she was a Visiting Lecturer at Superior College, Gujrat (2020–2022), where she led specialized lectures in computer vision and operating systems. She began her academic career as a Lecturer at The Chenab College (2008–2011), delivering foundational computer science education. Across these roles, she emphasized active learning, project-based evaluation, and skill-oriented pedagogy.

Research Interest:

Her research interests are multi-disciplinary, integrating artificial intelligence, machine learning, and data-driven analytics. Zaib is particularly drawn to medical imaging and health diagnostics, exploring how AI models can detect brain and lung tumors with higher certainty. She also investigates EEG-based biometric systems for secure authentication, aiming to enhance digital security through neuroscience. In parallel, she examines AI-powered usability engineering and human-computer interaction, as well as the role of technology in educational transformation. Her recent projects also address challenges in model interpretability and fairness in automated decision-making systems.

Award:

Zaib has received multiple honors for her academic contributions. In 2023, she was recognized with the Online Peer Review Excellence Graduate Award by IOP Publishing Ltd for her thorough and constructive scientific evaluations. The same year, she earned the Outstanding Reviewer Award from IOP, marking her reputation as a diligent academic peer. In 2021, she was awarded a Gold Medal from The University of Lahore for academic distinction in Computer Science and IT. These accolades speak to her dedication, precision, and deep engagement with the academic research process.

Publication:

  • 📘 Beyond Accuracy: Evaluating Certainty of AI Models for Brain Tumour Detection (2025, Computers in Biology and Medicine) — Cited by 11 articles.
  • 🧠 Impact of Fine-Tuning Parameters of a Convolutional Neural Network for Skin Cancer Detection (2025, Scientific Reports) — Cited by 9 articles.
  • 🧬 Threats and Mitigation Strategies for EEG-Based Person Authentication (2025, International Journal of Telemedicine and Applications) — Cited by 6 articles.
  • 💡 Predicting the Usability of Mobile Applications Using AI Tools: The Rise of Large User Interface Models (2024, Procedia Computer Science) — Cited by 7 articles.
  • 🫁 Lung Cancer Detection Using Segmented 3D Tensors and Support Vector Machines (2023, International Journal of Advanced Computer Science and Applications) — Cited by 5 articles.
  • 🧑‍🏫 Interactive Learning Interfaces to Enhance Student Engagement and Performance in Government Education (2023, Journal of Public Policy Practitioners) — Cited by 4 articles.
  • ✍️ A Deep Insight into Signature Verification Using Deep Neural Networks (2021, Advances in Intelligent Systems and Computing) — Cited by 8 articles.

Conclusion:

In summary, Zaib Unnisa’s career reflects a deep-rooted commitment to advancing knowledge, fostering innovation, and applying computing solutions to societal challenges. Her teaching and research are guided by a sense of ethical responsibility, technical expertise, and interdisciplinary collaboration. Her growing citation record and international recognition for peer review work illustrate her emerging influence in the field of computer science. With a forward-looking vision and an adaptable research profile, she continues to contribute meaningfully to both academic and applied technological domains. Zaib stands out as a promising leader and a deserving candidate for recognition through this prestigious award.