Bahar Ciftci | Experimental Design | Best Researcher Award

Assoc. Prof. Dr. Bahar Ciftci | Experimental Design | Best Researcher Award

Assoc. Prof. Dr. Bahar Ciftci | Experimental Design | Best Researcher Award | Doctor | Atatürk University | Turkey 

Assoc. Prof. Dr. Bahar Ciftci is a distinguished academic and researcher in the field of nursing education, patient care, and healthcare innovation, currently serving as a faculty member at the Faculty of Nursing, Atatürk University, Turkey. Holding a Ph.D. in Nursing, Dr. Bahar Ciftci has dedicated her academic career to advancing evidence-based nursing practices, enhancing clinical decision-making, and fostering professional growth among nursing students through innovative and technology-integrated teaching methods. Her research interests encompass nursing principles, health literacy, cultural sensitivity, psychosocial care, chronic disease management, and the integration of digital and simulation-based learning tools in healthcare education. Throughout her career, Dr. Bahar Ciftci has combined academic excellence with practical innovation, contributing to healthcare improvements through the development of six national and four international patent applications focused on innovative nursing and healthcare solutions. Her scholarly work is widely recognized, with over 40 peer-reviewed publications in prestigious international journals indexed in Scopus, Web of Science, and PubMed, including BMC Nursing, World Journal of Psychiatry, Nurse Education in Practice, and Perspectives in Psychiatric Care. Dr. Bahar Ciftci’s research contributions have received more than 380 citations globally, reflecting her growing academic impact and influence within the international nursing research community. She has also served as a peer reviewer for over 50 manuscripts across more than 10 reputable journals and authored several editorials that promote interdisciplinary collaboration and evidence-based clinical education. Her research skills include advanced data analysis, psychometric scale development, and clinical trial methodology, alongside expertise in designing qualitative and quantitative research models that address current challenges in healthcare delivery. Professionally, she has been recognized with multiple academic honors for excellence in nursing education, research innovation, and interdisciplinary leadership. She actively collaborates with international scholars and participates in research projects that bridge education, innovation, and patient care. As an educator and mentor, Dr. Bahar Ciftci demonstrates exceptional leadership and communication skills, guiding both undergraduate and postgraduate students toward research excellence and professional growth. Her ability to translate theoretical research into practical healthcare innovations exemplifies her forward-thinking approach and dedication to improving patient outcomes. In conclusion, Assoc. Prof. Dr. Bahar Ciftci stands out as an inspiring academic leader and healthcare innovator whose commitment to excellence, evidence-based practice, and educational advancement continues to shape the future of nursing and global healthcare research.

Profile:  Google scholar | Scopus | ORCID

Featured Publications 

  1. Ciftci, B., & Avsar, G. (2022). Impact of continued planned education provided by clinical nurses on patients with chronic heart failure. Iranian Red Crescent Medical Journal, 24(1). Citations: 35

  2. Yildiz, G. N., Şirin Gök, M., & Ciftci, B. (2024). Development and psychometric validation of the comfort scale for injection. BMC Nursing, 23(1), 903. Citations: 18

  3. Ciftci, B., Bahçecioğlu, T. G., & Sarialioğlu, A. (2024). The effects of web-based progressive muscle relaxation exercise on perceived stress and anxiety levels of nursing students who were in clinical practice for the first time: A randomized controlled trial. Srpski Arhiv Za Celokupno Lekarstvo, 152(9–10), 492–498. Citations: 22

  4. Aydın, A., Gok, M. Ş., & Ciftci, B. (2025). A “quiet” need in the disaster of the century: A qualitative study on menstrual hygiene management. BMC Public Health, 25, 493. Citations: 12

  5. Bozkurt, T., Nacak, U. A., Karakaş, E., & Ciftci, B. (2025). The effect of stoma care teaching based on the ARCS motivation model on nursing students’ learning motivation, self-efficacy, and knowledge levels. Nurse Education in Practice, 82, 104207. Citations: 10

  6. Yildirim, N., & Ciftci, B. (2024). Health perception and healthy life awareness during the COVID-19 pandemic: Turkey profile study. Indian Journal of Public Health, 68(3), 401–406. Citations: 15

  7. Yildiz, G. N., & Ciftci, B. (2025). Narrative nursing as a holistic approach in modern healthcare: Integrating emotional and physical care. World Journal of Psychiatry, 15(3), 102956. Citations: 14.

 

Luwen Yu | Experimental Design | Women Researcher Award

Assist. Prof. Dr. Luwen Yu | Experimental Design | Women Researcher Award

Assist. Prof. Dr. Luwen Yu | Experimental Design | Assistant Professor | The Hong Kong University of Science and Technology | China 

Assist. Prof. Dr. Luwen Yu is an accomplished academic and researcher in the field of computational media, color science, and human–computer interaction. She serves as an Assistant Professor at the Computational Media and Arts (CMA) department of The Hong Kong University of Science and Technology (Guangzhou) and is also a cross-campus faculty affiliate at HKUST in Hong Kong. Dr. Yu is widely recognized for her pioneering work that integrates design, psychology, and technology, offering new insights into how color perception and visual communication influence user cognition, decision-making, and behavior. Her career reflects a balance between research excellence, teaching commitment, and international collaboration, making her a leading figure in advancing the interdisciplinary connection between design science and computational media.

Professional Profile 

Education

Assist. Prof. Dr. Luwen Yu holds a Ph.D. from the University of Leeds, School of Design, where her doctoral research explored the effect of color on consumer purchase behavior under the guidance of distinguished supervisors. Prior to her doctoral studies, she completed both her master’s and bachelor’s degrees at Huazhong University of Science and Technology in the Department of Industrial Design, focusing on the intersection of design principles, human factors, and user experience. Her education has provided her with a strong foundation in design research methodology, experimental analysis, and applied color science, equipping her to approach research questions with methodological rigor and creativity.

Experience

Assist. Prof. Dr. Luwen Yu’s professional journey includes significant academic and research positions that have strengthened her interdisciplinary expertise. Before joining HKUST, she worked as a Postdoctoral Researcher at the University of Leeds, where she collaborated with leading researchers in design cognition, visual perception, and human–computer interaction. Currently, as an Assistant Professor, she leads research projects that integrate eye-tracking, fNIRS data analysis, and computational approaches to study visual communication and decision-making processes. She has actively participated in organizing workshops, mentoring students, and supervising graduate research projects, thereby contributing to the growth of the next generation of scholars in the field.

Research Interest

Assist. Prof. Dr. Luwen Yu’s research interests focus on color science, cognitive psychology, and user interaction in digital environments. She explores how color and visual attributes affect human perception, attention, and decision-making, applying her findings to areas such as consumer behavior, interactive media, and immersive technologies. Her studies employ a range of advanced techniques, including multimodal data analytics, virtual reality simulations, and behavioral experiments, to uncover meaningful patterns in visual cognition. She is also deeply interested in bridging design research with computational modeling, enhancing the usability and emotional impact of interactive systems and media interfaces.

Award

Assist. Prof. Dr. Luwen Yu has been recognized for her significant contributions to color science and computational media research through her selection for various academic honors, grants, and invited talks at international conferences. Her collaborative projects with global research teams demonstrate her dedication to advancing knowledge across borders, and her efforts in mentoring students and promoting diversity in science have further distinguished her as a leader in her field.

Selected Publication

Some of her notable publications include How Background Colour Shapes Digital Text-Information Processing: A fNIRS-Eye-Tracking Study (2025, 12 Citations).

Tailored Information Display: Effects of Background Colour and Line Spacing on Visual Search Across Different Character Types (2025, 9 Citations).

Decoding Color Perception: An Eye-Tracking Perspective (2025, 8 Citations), and Colour Associations and Consumer Product-Colour Purchase Decisions (2021, 45 Citations).

Conclusion

Assist. Prof. Dr. Luwen Yu stands out as an innovative and dedicated scholar whose work bridges design, cognitive science, and computational media. Her interdisciplinary approach has advanced the understanding of how visual stimuli impact human cognition and decision-making, leading to practical applications in user interface design, marketing strategies, and immersive learning environments. Through her strong research portfolio, active international collaborations, and commitment to mentoring young researchers, she has made a lasting contribution to her field. Her future research aims to expand into large-scale collaborative studies, develop novel computational tools for design evaluation, and continue influencing the direction of research in color science and human–computer interaction. For these reasons, she is an excellent candidate for this award, embodying both research excellence and leadership potential.