Ipek Atik | Health | Research Excellence Award

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Assoc. Prof. Dr. Ipek Atik | Health | Research Excellence Award

Assoc. Prof. Dr. Ipek Atik | Health | Gaziantep Islam Science and Technology University | Turkey

Health plays a central role in the scientific contributions of Assoc. Prof. Dr. Ipek Atik, whose career spans advanced research in deep learning, machine learning, renewable energy forecasting, medical image analysis, and computational modeling. Assoc. Prof. Dr. Ipek Atik has built a strong academic foundation through her formal education, progressing from engineering studies into specialized research areas involving artificial intelligence applications to health systems, environmental sustainability, and complex data-driven prediction models. Her professional experience includes serving as an academic and researcher at Gaziantep Islam Science and Technology University, where she has contributed extensively to AI-driven classification systems, forecasting methodologies, radiation shielding research, and medical imaging solutions, particularly in pneumonia detection and COVID-19 case prediction—fields where health, technology, and engineering effectively converge. Throughout her career, Assoc. Prof. Dr. Ipek Atik has cultivated broad research interests spanning convolutional neural networks, short-term energy forecasting, satellite image classification, landform analysis, LED technologies, renewable energy systems, and advanced material characterization, demonstrating an interdisciplinary approach that strengthens the health and engineering research ecosystem. Her demonstrated research skills include algorithm development, regression learning, deep learning model optimization, transfer learning, optical systems analysis, neural network-based forecasting, materials computation, and the integration of AI with medical and environmental datasets. These skills are strongly supported by her impactful publication record, which has earned awards and honors through high citation counts, international collaborations, and recognition within journals focused on engineering, energy, radiation sciences, and computational technologies. With over 220 citations, an h-index of 8, and an i10-index of 6, Assoc. Prof. Dr. Ipek Atik has established a meaningful global research presence. Her work on CNN-based classification systems, drone detection enhancement, short-term energy load forecasting, and deep learning–supported medical analysis highlights the significant influence of her studies on public health, technological advancement, and industrial applications. The sustained academic output of Assoc. Prof. Dr. Ipek Atik, combined with her dedication to interdisciplinary innovation, positions her as a leading contributor to modern AI-enabled solutions. In conclusion, Assoc. Prof. Dr. Ipek Atik represents a dynamic and forward-focused researcher whose work consistently bridges health, engineering, and artificial intelligence, contributing valuable insights and technologies that support societal progress, scientific advancement, and long-term sustainable development.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

Atik, I. (2022). Classification of electronic components based on convolutional neural network architecture. 39 citations.
Atik, I. (2022). A new CNN-based method for short-term forecasting of electrical energy consumption in the COVID-19 period: The case of Turkey. 32 citations.
Dinçer, F., Atik, İ., Yılmaz, Ş., & Çıngı, A. (2017). Hidrolik enerjisinden yararlanmada ülkemiz ve gelişmiş ülkelerin mevcut durumlarının analizi. 26 citations.
Atik, I. (2023). CB-YOLOv5: Enhancing drone detection with BottleneckCSP and cross convolution for improved performance. 16 citations.
Tuncel, N., Akkurt, I., Atik, I., Malidarre, R. B., & Sayyed, M. I. (2024). Neutron-gamma shielding properties of chalcogenide glasses. 11 citations.
Atik, I. (2022). Performance comparison of regression learning methods: COVID-19 case prediction for Turkey. 10 citations.

 

 

Qingling Qu | Global Health | Editorial Board Member

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Dr. Qingling Qu | Global Health | Editorial Board Member

Dr. Qingling Qu | Global Health | Doctor at Yichun University | China

Dr. Qingling Qu is an emerging scholar in the field of sports biomechanics and human movement science, recognized for her growing contributions to research on gait stability, motor control, and performance enhancement across martial arts, dance, and athletic populations. Dr. Qingling Qu completed her advanced academic training at Jeonbuk National University, where she strengthened her methodological expertise in biomechanics and movement analysis, establishing a foundation for international collaborative research. Her professional experience includes serving as a Dr in the Department of Physical Education at Yichun University, where she contributes to both teaching and research aimed at improving athletic performance, movement safety, and evidence-based physical education practices. Dr. Qingling Qu’s research interests span gait and dynamic stability, martial arts biomechanics, human balance control, digital learning tools in sports education, and the effects of multitasking on motor performance. Across these domains, she has demonstrated strong research skills in experimental design, motion analysis, kinetic and kinematic assessment, comparative motor performance evaluation, and interdisciplinary collaboration. Her published works appear in reputable peer-reviewed journals including Annals of Human Biology, Sports Biomechanics, Physical Culture and Sport. Studies and Research, and Molecular & Cellular Biomechanics, reflecting her commitment to advancing scientific understanding of movement patterns and injury-risk mechanisms. Throughout her early career, Dr. Qingling Qu has been involved in international research collaborations with multidisciplinary teams across Korea, China, and other regions, highlighting her ability to contribute effectively to global scientific projects. Although she is at an early stage in building her academic portfolio, her publications demonstrate increasing scholarly visibility and engagement with high-quality journals indexed in Scopus and Crossref. Her emerging academic honors include contributions to funded research groups, co-authorship in leading biomechanics studies, and recognition through departmental appointments supporting sports-science innovation. Moving forward, Dr. Qingling Qu aims to expand her research influence through additional publications, professional memberships, leadership activities, and collaborations integrating advanced technologies such as wearable sensors and AI-enhanced movement analysis. With a strong foundation in scientific inquiry and a clear trajectory of research growth, Dr. Qingling Qu is positioned to make substantial future contributions to biomechanics, physical education, and human performance science.

Academic Profile: ORCID

Featured Publications:

  1. Zhang, J., Kim, Y., Qu, Q., & Kim, S. (2025). Effects of different Taekwondo practices on biomechanics of balance and control during kick technique. Annals of Human Biology.

  2. Zhang, J., Qu, Q., Zhu, B., Zhao, Z., & Kim, S. (2025). Microlecture assistance during university martial arts classes improves students’ learning motivation and endeavors. Physical Culture and Sport. Studies and Research.

  3. Qu, Q., Tang, X., Qiu, X., Kim, Y., Zhang, J., & Kim, S. (2025). Long-term dance training alters the likelihood of slips and trips. Molecular & Cellular Biomechanics.

  4. Dong, M., Li, M., Qu, Q., Kim, Y., & Kim, S. (2025). Arm slot angles affect elbow and shoulder joint torque in elite college pitchers. Sports Biomechanics.

  5. Qu, Q., Wu, C., Xu, Y., Lu, Y., Zhang, J., & Kim, S. (2024). Effects of mobile phone task engagement on gait and dynamic stability during stair ascent and descent. Molecular & Cellular Biomechanics.