Bahar Ciftci | Experimental Design | Best Researcher Award

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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.

 

Mengge Li | Experimental Design | Best Researcher Award

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Ms. Mengge Li | Experimental Design | Best Researcher Award

PhD candidate | Shenyang Jianzhu University | China

Ms. Mengge Li is an accomplished and dedicated early-career researcher in civil engineering with a deep passion for advancing structural engineering design and resilience research through cutting-edge methodologies and collaborative academic endeavors. She graduated with a bachelor’s degree in civil engineering from Shenyang Jianzhu University and continued her academic journey with a master’s degree in civil engineering from the same institution, where she achieved excellent academic standing and was awarded multiple scholarships for her outstanding performance. Currently, she is pursuing her Ph.D. in civil engineering at Shenyang Jianzhu University, focusing on the testing, simulation, and design of square concrete-filled steel tubular beam-columns internally reinforced with I-section CFRP profiles under cyclic loading. Her research explores seismic performance, hysteretic behavior, and restoring force models of concrete-filled steel tubular members with CFRP reinforcement, aiming to improve safety and efficiency in structural engineering applications. Ms. Mengge Li has authored 3 documents, 2 Citations, 1 h-index, which have been published in reputed sources such as Engineering Structure (Q1), Journal of Building Structures, and proceedings of the 15th International Conference on Fibre-Reinforced Polymers for Reinforced Concrete Structures (FRPRCS-15) & the 8th Asia-Pacific Conference on FRP in Structures (APFIS-2022). Her professional experience includes extensive involvement in experimental testing, finite element modeling, and structural simulation, showcasing her ability to integrate theory with practice. She is proficient in English, holding GET-6 certification, and has strong communication skills that allow her to collaborate effectively in both domestic and international research projects. Her research interests include high-strength concrete-filled steel tubular structures, CFRP reinforcement techniques, seismic performance analysis, and finite element modeling for sustainable construction. Ms. Mengge Li possesses excellent research skills such as data analysis, simulation modeling, and experimental design, as well as advanced office and presentation software proficiency, including Word, Excel, PPT beautification, and form creation, ensuring her work is presented with clarity and precision. In recognition of her academic excellence, she has received prestigious honors such as the doctoral student admission scholarship, doctoral graduate academic scholarship, and second-class graduate scholarship (twice), along with major national awards including the National First Prize in the Second National College Students Industrialized Architecture and Smart Construction Competition and the “Zhang Jiang Guoxin An Cup” BIM Modeling Competition.

Profile:  Scopus

Featured Publications

  1. Li, M. (2022). Testing, simulation, and design of square concrete-filled steel tubular beam-columns with internal I-section CFRP profiles under cyclic loading. Engineering Structure.

  2. Li, M. (2022). Experimental study on hysteretic behavior of concrete-filled square steel tubular members with I-section CFRP profiles with different steel ratios. Journal of Building Structures.

  3. Li, M. (2022). Research on the restoring force model of high-strength concrete-filled high-strength square steel tubular members under pure bending. Journal of Shenyang Jianzhu University (Natural Science).

  4. Li, M. (2022). Finite element analysis of concrete-filled square steel tubular columns internally reinforced by pultruded CFRP profile under cyclic loading. Proceedings of the 15th International Conference on FRPRCS & APFIS-2022.

  5. Li, M. (2022). Research on seismic performance of concrete-filled square steel tubular columns with CFRP profiles. Industrial Construction.

 

Vahid Hassani | Experimental Design | Best Researcher Award

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Dr. Vahid Hassani | Experimental Design | Best Researcher Award

Dr. Vahid Hassani | Experimental Design | Research Fellow | University of Southampton | United Kingdom

Dr. Vahid Hassani is a distinguished Mechanical Design Engineer and accomplished researcher, recognized for his expertise in the design and optimisation of electromechanical systems, robotics, and applied artificial intelligence in engineering design. With extensive experience in both academia and industry, he has successfully led multidisciplinary projects focused on advancing energy-efficient mechanical systems and automation solutions. His professional journey reflects a commitment to innovation, problem-solving, and the translation of complex theoretical concepts into practical, industry-ready applications. Through his work, Dr. Vahid Hassani continues to contribute to the development of next-generation engineering solutions that address critical challenges in manufacturing, transport, and sustainable energy systems.

Professional Profile 

Education

Dr. Vahid Hassani earned his Ph.D. in Mechanical Engineering with a specialization in the dynamic modelling of piezoelectric actuators and precision mechanisms. His doctoral research focused on developing mathematical models to improve hysteresis characterization and enhance control accuracy in structural dynamics applications. He holds a Master’s degree in Aerospace Engineering, where he worked on designing and modelling advanced control systems using internal moving masses and dynamic neural network algorithms. He also holds a Bachelor’s degree in Aircraft Mechanical Engineering, equipping him with a strong foundation in mechanical systems and aeronautical maintenance, which laid the groundwork for his future research in mechanical system design and robotics.

Experience

Dr. Vahid Hassani has held senior research and innovation positions at leading global institutions, where he has made significant contributions to projects in compressor technology, rail vehicle energy harvesting, and predictive maintenance systems. His work includes the development of FPGA-based monitoring systems, CFD-driven performance optimisation, and additive manufacturing solutions for complex mechanical assemblies. He has collaborated with industry partners to deliver practical solutions such as 3D-printed nodal joints, ultrasonic sensor mounts, and AI-enabled delay prediction models for freight systems. Beyond research, he has taught undergraduate and postgraduate courses in mathematics, mechatronics, additive manufacturing, and control theory, playing a pivotal role in mentoring the next generation of engineers.

Research Interest

Dr. Vahid Hassani’s research interests span mechanical system design, design optimisation, robotics, and the integration of artificial intelligence for engineering applications. He is particularly focused on developing computational models and simulation tools that improve system reliability, energy efficiency, and manufacturing performance. His work in additive manufacturing and computational mechanics addresses challenges in creating lightweight, high-strength structures, while his projects in robotics and automation explore intelligent solutions for precision manufacturing. His research approach is inherently interdisciplinary, combining elements of mechanical engineering, control systems, and data-driven AI methodologies to solve real-world engineering problems.

Award

Dr. Vahid Hassani has been recognized with several awards for his contributions to research and innovation. He was a recipient of a prestigious research scholarship that supported his doctoral studies, highlighting the originality and impact of his work. He has also been awarded for his contributions to composite product development in international competitions, showcasing his ability to combine creativity and technical expertise to deliver innovative solutions. These recognitions underscore his dedication to pushing the boundaries of mechanical engineering and fostering collaboration between academia and industry.

Selected Publications

“Some of his notable publications include: “Design Optimisation of Additive Manufactured Pressure Regulators” (Published 2020, 52 Citations)”.

“Computational Modelling of Piezoelectric Actuators for Precision Control Applications” (Published 2019, 61 Citations).

“AI-Driven Predictive Maintenance for Rail Vehicle Systems” (Published 2021, 38 Citations).

“Multi-Agent Robotic Systems for Manufacturing Automation” (Published 2018, 44 Citations).

Conclusion

Dr. Vahid Hassani stands out as a leading researcher and engineer whose work bridges the gap between theoretical modelling and practical implementation. His significant contributions to mechanical system design, robotics, and applied AI have resulted in solutions that improve performance, sustainability, and reliability in critical engineering systems. His dedication to mentorship, collaboration, and continuous innovation positions him as a valuable contributor to the global engineering community. Dr. Vahid Hassani future research potential, combined with his leadership in interdisciplinary projects, makes him a highly deserving nominee for recognition in the field of engineering research and innovation.