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.

 

Volodymyr Tychkov | Experimental Design | Best Researcher Award

Assoc. Prof. Dr. Volodymyr Tychkov | Experimental Design | Best Researcher Award

Assoc. Prof. Dr. Volodymyr Tychkov | Experimental Design | Best Researcher Award | Associate Professor | Cherkasy State Technological University | Ukraine 

Assoc. Prof. Dr. Volodymyr Tychkov is a researcher from Cherkasy State Technological University whose work lies at the intersection of instrumentation, mechatronics, non‐destructive testing, mathematical modelling, and optimization. He holds a Ph.D. (Technical Sciences) from Cherkasy State Technological University, awarded in 2017, and since then has built a strong professional profile: serving as Associate Professor in the Department of Instrumentation, Mechatronics and Computerized Technologies, Deputy Head of Faculty for Research, Full Academic of the Ukrainian Academy of Engineering Sciences, and active member of the Ukrainian Society for Non-Destructive Testing. His research interest centers on designing eddy current probes and excitation systems, surrogate models, active (meta)heuristic optimization, electromagnetic field modelling, and analytical instrumentation with applications in materials diagnostics and industrial process control. He has developed strong research skills in mathematical and computational modelling, electromagnetic probe synthesis, machine learning / surrogate modelling, signal‐noise suppression, and techniques for fast, accurate evaluation of material properties via non-destructive testing (including multifrequency and moving probe systems). Among his awards and honors are his election as a Full Academic in 2023 to the Ukrainian Academy of Engineering Sciences and other recognitions in his field for contributions to non-destructive testing; he has co-authored nearly 290 publications, showing strong citation and indexing via Scopus and related databases. In summary, Assoc. Prof. Dr. Volodymyr Tychkov has demonstrated consistent academic excellence, leadership in research, interdisciplinary collaboration, high productivity, and innovation in measurement technologies, making him a key contributor to instrumentation and diagnostics; his work promises continued impact in developing advanced non-destructive testing tools, optimization methods, and educational leadership in Ukraine and internationally.

Profile:  Google scholar Scopus | ORCID

Featured Publications

  1. Halchenko, V. Y., Trembovetska, R. V., & Tychkov, V. V. (2021). Surrogate synthesis of excitation systems for frame tangential eddy current probes. Archives of Electrical Engineering, 70(4), 743-757.

  2. Halchenko, V. Y., Trembovetska, R. V., & Tychkov, V. V. (2021). Surrogate synthesis of frame eddy current probes with uniform sensitivity in the testing zone. Metrology and Measurement Systems, 28(3), 551-564.

  3. Trembovetska, R. V., Halchenko, V. Y., & Tychkov, V. V. (2018). Studying the computational resource demands of mathematical models for moving surface eddy current probes for synthesis problems. Eastern-European Journal of Enterprise Technologies, 5(5 (95)), 39-46.

  4. Halchenko, V., Trembovetska, R., Bazilo, C., & others. (2023). Computer Simulation of the Process of Profiles Measuring of Objects Electrophysical Parameters by Surface Eddy Current Probes. In Information Technology for Education, Science, and Technics (ITEST 2022) (Lecture Notes on Data Engineering and Communications Technologies, Vol. 178), 411-424.

  5. Halchenko, V. Y., Trembovetska, R. V., & Tychkov, V. V. (2020). Surface Eddy Current Probes: Excitation Systems of the Optimal Electromagnetic Field (Review). Devices and Methods of Measurements, 11(2), 91-104.

 

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.

 

 

Moses Hamed | Experimental Design | Best Researcher Award

Mr. Moses Hamed | Experimental Design | Best Researcher Award

Mr. Moses Hamed | Experimental Design | Head of Research Unit | Afe Babalola University | Nigeria

Mr. Moses Hamed is an accomplished Medical Laboratory Scientist and dedicated researcher specializing in histopathology and cytology. With a0 strong background in medical diagnostics and translational research, he has consistently contributed to advancing the understanding of male infertility, reproductive toxicology, and the molecular mechanisms of disease. His career reflects a commitment to improving global health outcomes through evidence-based research, collaborative studies, and mentorship of young scientists. Currently serving as the Head of the Research Unit at The Brainwill Laboratory Ltd., Mr. Hamed leads innovative projects that bridge basic science with clinical applications. His scholarly work has earned him recognition as one of the most productive medical researchers in Nigeria, positioning him as a thought leader and innovator in his field.

Professional Profile 

Education

Mr. Moses Hamed has completed extensive academic training, holding a Master of Science degree in Medical Laboratory Science with a focus on histopathology and cytology, as well as a Postgraduate Diploma in Medical Laboratory Science. His academic journey has been characterized by excellence, curiosity, and a commitment to expanding his scientific expertise. He also earned a Bachelor of Medical Laboratory Science, which laid the foundation for his professional practice and early research interests. His educational progression reflects not only intellectual rigor but also a deep passion for improving clinical diagnostics and advancing laboratory medicine as a cornerstone of healthcare.

Experience

Throughout his career, Mr. Moses Hamed has demonstrated leadership and innovation in both clinical and research settings. As the Head of Research at The Brainwill Laboratory Ltd., he oversees experimental design, data analysis, and collaborative projects that focus on reproductive health and endocrine disorders. He previously served as a Medical Laboratory Scientist at reputable diagnostic centers and hospitals, where he gained hands-on expertise in laboratory techniques, quality assurance, and patient-focused diagnostics. His work has contributed to improving laboratory standards and advancing molecular approaches to diagnosis, with a particular emphasis on infertility and toxicology research.

Research Interest

Mr. Moses Hamed’s research interests are deeply rooted in reproductive health, toxicology, and endocrine disruption. His studies have explored the effects of pesticides, psychoactive substances, and environmental toxins on male fertility parameters, providing valuable insights into public health risks and preventive strategies. He is also engaged in work addressing the pathophysiology of infertility and the development of innovative diagnostic protocols. His interest in translational research enables him to bridge the gap between laboratory discoveries and clinical applications, making his work highly impactful for patient care and policy development.

Award

Mr. Moses Hamed has been recognized with several honors, including a prestigious Founder’s Award for academic and professional excellence. He was also acknowledged by Elsevier as one of the Top 500 authors by scholarly output in Nigeria, a testament to his consistent research productivity and contribution to the scientific community. These awards highlight his dedication to advancing knowledge, mentoring future scientists, and shaping the future of medical laboratory science through innovative and impactful work.

Selected Publication

Neglected Tropical Diseases and Female Infertility: Possible Pathophysiological Mechanisms (2025, 42 citations).

Impact of Organophosphate Pesticides Exposure on Human Semen Parameters and Testosterone: A Systematic Review and Meta-Analysis (2023, 55 citations).

Psychoactive Drugs and Male Fertility: Impacts and Mechanisms (2023, 37 citations).

Pathophysiology and Management of Testicular Ischemia/Reperfusion Injury: Lessons from Animal Models (2024, 28 citations).

Conclusion

Mr. Moses Hamed stands out as a dedicated researcher and healthcare professional whose contributions to medical laboratory science have significantly advanced reproductive health research and diagnostic innovation. His educational background, leadership experience, and robust publication record make him an exemplary candidate for recognition. His work not only strengthens the scientific community but also provides tangible benefits to society by addressing pressing health challenges. With his proven capacity for impactful research, mentorship, and collaboration, Mr. Hamed is well-positioned to continue shaping the future of laboratory medicine and to expand his influence through international partnerships and innovative scientific endeavors.

 

Marwa Ibrahim | Experimental Design | Women Researcher Award

Marwa Ibrahim | Experimental Design | Women Researcher Award

Assoc Prof Dr Marwa Ibrahim, National research centre NRC, Egypt

Dr. Marwa Ibrahim is an accomplished academic and researcher in Mechanical Power Engineering with a Ph.D. from Cairo University. Her expertise includes renewable energy and smart grids, with notable work on micro-grid systems and wind turbine optimization. She is an Assistant Professor at the National Research Centre, Egypt, and has held various roles, including quality assurance and mechanical engineering positions. Dr. Ibrahim is certified in project planning, safety, and quality management. Her projects include biodiesel production and hybrid renewable energy systems. She has participated in numerous international conferences and workshops on renewable energy. 🌍🔋🌞

Publication profile

Scopus

Education

Dr.Marwa Ibrahim, earned a PhD in Mechanical Power Engineering from Cairo University in January 2018, with a focus on “Design and Performance Evaluation of Renewable Energy Based Micro-Grid Systems with Energy Storage” 🌍🔋. He holds an M.Sc. in Industrial Engineering from Fayoum University (2014), specializing in “Optimization of Small-Scale Wind Turbine Systems Considering Externalities” 🌬️⚙️, and a B.Sc. in Industrial Engineering from the same institution (2008), where his graduation project on developing an ISO\TS 16949 Quality System earned an excellent grade 🎓📈. His work centers on renewable energy and industrial optimization.

Experience

Dr. Marwa Ibrahim, is an accomplished mechanical engineer at the Mech. Eng. Department, NRC, where they have served as an Assistant Professor since 2018. Their journey began as a Researcher Assistant in 2010, evolving through roles as Assistant Researcher (2014-2017) and Mechanical Engineer (2009-2010). Before joining NRC, they honed their expertise as a Quality Assurance Engineer at ICDI Company, Egypt (2008-2009). With a robust background in research and quality assurance, Dr. Marwa Ibrahim, has made significant contributions to the field of mechanical engineering. 🛠️📊

Projects

At the National Research Centre, Egypt, He contributed to several innovative projects. As a Co-PI on the 2019-2021 project for designing and testing a continuous biodiesel production device from Egyptian Jatropha seeds, He played a key role. He was also part of the STDF project optimizing hybrid renewable systems for tourism facilities in Fayoum (2019). He involvement extended to projects like the development of a mini car running on alternative fuels (2018-2020) and hybrid energy systems for Nubariyyah (2017-2020). Additionally, He worked on designing presses for oil extraction from Jatropha (2016-2019) and exploring hydrogen fuel from solar energy (2016-2019). 🌱🔧🚗🔋🌞

Research focus

Dr. M.M. Ibrahim’s research primarily focuses on optimizing and managing renewable energy systems, particularly wind and solar energy. His work involves evaluating technical and economic aspects of these systems to enhance efficiency and sustainability. Key areas include hybrid renewable energy systems, wind off-grid applications, and comparative studies between solar and wind energy. Ibrahim also explores innovative applications such as smart energy management for solar water heating and grid-connected solar PV systems for electric vehicle charging. His studies contribute to improving renewable energy solutions, particularly in remote and urban settings. 🌬️☀️💡

Publication top notes

Energy management strategies of hybrid renewable energy systems: A review

Optimization of wind off-grid system for remote area: Egyptian application

Technical and Economic Comparison between Solar and Wind Energy Supplying Desalination System

Electricity production and comparative analysis for wind availability power potential assessment at four sites in Egypt

EXPERIMENTAL AND THEORETICAL STUDY OF SMART ENERGY MANAGEMENT SOLAR WATER HEATING SYSTEM FOR OUTDOOR SWIMMING POOL APPLICATION IN EGYPT

Investigation of a grid-connected solar pv system for the electric-vehicle charging station of an office building using pvsol software

Sustainable technical design and economic–environmental analysis of SMART solar street lighting system in Giza City, Egypt

NUMERICAL THERMAL STUDY OF HEAT TRANSFER ENHANCEMENT IN LAMINAR-TURBULENT TRANSITION FLOW THROUGH ABSORBER PIPE OF PARABOLIC SOLAR TROUGH COLLECTOR SYSTEM

Feasibility and performance analysis of grid-tied solar photovoltaic systems using pvsyst simulation package of pharmaceutical factory case study in Egypt

 

Anna Gui | Experimental Design | Best Researcher Award

Anna Gui | Experimental Design | Best Researcher Award

Dr Anna Gui, University of Essex, United Kingdom

Dr. Anna Gui is a Lecturer in Psychology at the University of Essex, UK. She earned her PhD in Psychology from Birkbeck, University of London, with a thesis on social attention in Autism Spectrum Disorder. Dr. Gui’s postdoctoral research at Birkbeck explored neurodevelopmental trajectories using neuroimaging and genetic data. She has numerous publications in high-impact journals, focusing on the neurobiology of social development and autism. Additionally, she has received several prestigious grants and awards, and actively engages in public science communication and event organization. 🌟📚🧠

Publication profile

google scholar

orcid

Education

From 2015 to 2019, He pursued a PhD in Psychology at Birkbeck, University of London, with a thesis on the role of social attention in the causal path to Autism Spectrum Disorder, supervised by Prof. M.H. Johnson, Prof. E.J.H. Jones, and Dr. E. Meaburn. 🌟 During this time, He undertook a secondment at the Geschwind lab at UCLA, focusing on genotype data pre-processing. Earlier, He completed an MSc in Cognitive Science at the University of Trento (2013-2015), with internships in EEG data analysis at the Donders Institute and behavioral testing at Université Paris Descartes. 📚 Prior to this, I earned a Master’s in Child Rehabilitation from the University of Modena and Reggio-Emilia, with a thesis on visual and motor function integration, including an internship in neonatal behavioral assessment at the University Hospital of Padova. 👶 My academic journey began with a BSc in Neurological and Psychomotor Therapy at the University of Padova. 🎓

Experience

Since February 2024, He have been the primary BSc dissertation supervisor at the University of Essex, UK 📚. He have also served as a secondary PhD supervisor since October 2022 📖. From June to August 2022, He supervised undergraduate placement students at Birkbeck College, London 🏙️. Between August 2016 and March 2023, He was a research supervisor at Birkbeck College, overseeing 3 PhD students, 1 postgraduate student, 5 undergraduate students, and 4 research assistants 🎓. As an academic mentor during 2021-2022, I supported the Compass Project for Sanctuary Students. Currently, He lecture at the University of Essex and previously lectured at Birkbeck College 🎤.

Awards

He have been involved in various research projects and academic roles that highlight my dedication to developmental science and cognitive neuroscience. Notably, He am a co-investigator on an MRC iCASE Doctoral Training Partnership grant, mapping attentive brain states to support parent-child interaction in autism (£129,555, 2023-2027) 🧠. As the principal investigator, He led the STRIDES series to tackle racism in developmental science (£2,450, 2022-2023) 🌍 and investigated neuroadaptive optimisation in parent-child interactions (£4,515, 2022-2023) 👪. My teaching experience includes supervising dissertations at the University of Essex and lecturing on cognitive neuroscience and neuropsychology 📚. Additionally, He have been a mentor for the Compass Project for Sanctuary Students at Birkbeck College 🌟.

Research focus

Dr. Antonia Gui’s research primarily focuses on early developmental processes, particularly in infants, with a strong emphasis on social attention, face processing, and neuroadaptive methodologies. Her work explores how these early behaviors and neural responses may elucidate pathways to conditions like autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Using a variety of behavioral studies and advanced neuroscientific techniques, Dr. Gui investigates genetic, epigenetic, and environmental factors influencing developmental trajectories in social cognition and motor skills. He research contributes significantly to understanding individual differences in infancy, aiming to improve early detection and intervention strategies 🧠👶.

Publication top notes

Face processing in early development: a systematic review of behavioral studies and considerations in times of COVID-19 pandemic

Look duration at the face as a developmental endophenotype: elucidating pathways to autism and ADHD
Attentive brain states in infants with and without later autism

Social attention: What is it, how can we measure it, and what can it tell us about autism and ADHD?

Leveraging epigenetics to examine differences in developmental trajectories of social attention: A proof-of-principle study of DNA methylation in infants with older siblings …

Development of the pupillary light reflex from 9 to 24 months: association with common autism spectrum disorder (ASD) genetic liability and 3‐year ASD diagnosis

Proving and improving the reliability of infant research with neuroadaptive Bayesian optimization

Association of polygenic liability for autism with face-sensitive cortical responses from infancy

Children’s total blindness as a risk factor for early parent-child relationships: Preliminary findings from an Italian sample

Neuroadaptive electroencephalography: a proof-of-principle study in infants