Reyyan Gürel | AI in Healthcare | Best Researcher Award

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Dr. Reyyan Gürel | AI in Healthcare | Best Researcher Award

Reyyan GÜREL is a dedicated healthcare professional with a robust career spanning over a decade in nursing and academic research. Beginning as a clinical nurse in 2010, she gained extensive hands-on experience before transitioning into academia in 2019. During her tenure at Başkent University, she contributed to the advancement of nursing education and research, particularly in gynecology and reproductive health. In 2024, she embraced a new role as a Specialist Nurse at the Ministry of Health, Republic of Turkey, while continuing her research activities. Her contributions to the field are evident through numerous publications, consultancy projects, and books.

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Education

Reyyan GÜREL holds a strong educational foundation in nursing, which has propelled her career in both clinical and academic settings. She pursued her nursing degree, equipping herself with essential medical knowledge and skills. Her academic journey further led to specialized research in gynecology and reproductive health, an area in which she has significantly contributed. Through continued education and professional development, she has remained at the forefront of her field, integrating evidence-based practice with patient care and academic inquiry.

Experience

Reyyan GÜREL commenced her professional journey as a clinical nurse in 2010, where she accumulated nearly a decade of practical experience in patient care. In 2019, she transitioned to academia, joining Başkent University as a faculty member in the Nursing Department. Her role involved teaching, mentoring students, and conducting research in gynecology and reproductive health. In 2024, she shifted back to a clinical role as a Specialist Nurse at the Ministry of Health of the Republic of Turkey. Despite her administrative and clinical responsibilities, she remains actively engaged in academic research, bridging the gap between practice and theory.

Research Interests

Reyyan GÜREL’s research is primarily focused on gynecology and reproductive health. Her work aims to enhance women’s healthcare outcomes by integrating innovative medical practices and evidence-based nursing interventions. She has contributed to various research projects, authoring publications that address critical issues in reproductive health, maternal care, and nursing methodologies. Her dedication to research is reflected in her involvement in consultancy and industry projects, which emphasize the practical application of scientific findings to improve healthcare services.

Awards

Reyyan GÜREL has been recognized for her significant contributions to the field of nursing and healthcare research. Her excellence in academia and clinical practice has earned her nominations and accolades in various award categories. She continues to strive for excellence, furthering the impact of her work in both research and practical healthcare settings. Her dedication to innovation in gynecology and reproductive health has distinguished her as a leader in the field.

Selected Publications

GÜREL, R. (2023). “Advancements in Gynecological Nursing: A Holistic Approach to Women’s Health.” Journal of Nursing and Health Sciences. Cited by 15 articles.

GÜREL, R. (2022). “Reproductive Health Awareness Among Adolescents: A Study on Educational Interventions.” International Journal of Public Health Research. Cited by 12 articles.

GÜREL, R. (2021). “Postpartum Care and Maternal Well-being: An Evidence-Based Review.” Turkish Journal of Maternal and Child Health. Cited by 10 articles.

GÜREL, R. (2020). “Challenges in Nursing Education: Bridging Theory and Practice.” Nursing Education Perspectives. Cited by 8 articles.

GÜREL, R. (2019). “Effective Pain Management Strategies in Obstetric Care.” Journal of Clinical Nursing Research. Cited by 6 articles.

GÜREL, R. (2018). “The Role of Nurses in Enhancing Maternal Health Outcomes.” Global Journal of Reproductive Medicine. Cited by 5 articles.

Conclusion

Reyyan GÜREL has established herself as a prominent figure in nursing and healthcare research, demonstrating unwavering commitment to improving gynecological and reproductive health outcomes. Her transition from clinical practice to academia and back to a specialized role in the Ministry of Health exemplifies her dedication to advancing patient care through research and education. With numerous publications, industry projects, and continued scholarly contributions, she remains a driving force in the field. Her work not only impacts current nursing practices but also lays the foundation for future advancements in healthcare.

Jale Kalemkuş | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Jale Kalemkuş | Artificial Intelligence | Best Researcher Award

Assistant Professor at Kafkas University, Turkey

Dr. Jale Kalemkuş is an Assistant Professor at Kafkas University with a strong academic and professional background in primary education. She began her career as a primary school teacher under the Turkish Ministry of National Education from 2008 to 2012 before transitioning to academia as a lecturer in the Child Development Department at Kafkas University. Since 2020, she has been serving as an assistant professor in the same department. With a deep interest in science education and technology-enhanced learning, Dr. Kalemkuş has contributed significantly to research in areas such as artificial intelligence, conceptual change, science process skills, and distance education.

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Education

Dr. Kalemkuş completed her undergraduate studies at Kocaeli University in the Primary School Teaching Program between 2002 and 2006. She then pursued her master’s degree at Selçuk University in the Primary Education Department from 2006 to 2009. Further advancing her academic credentials, she earned her PhD from Necmettin Erbakan University in the Primary Education Department between 2014 and 2018. Her education has provided her with a strong foundation in pedagogy and research methodologies, enabling her to contribute significantly to the field of primary education and science learning.

Experience

Dr. Kalemkuş’s professional journey reflects a blend of practical teaching experience and academic research. Her tenure as a primary school teacher helped her understand the challenges in early education, leading her to explore innovative teaching strategies. She later transitioned to higher education, where she has been instrumental in teaching and mentoring future educators. Since 2020, she has been engaged in research and academic activities as an assistant professor, focusing on enhancing science education through digital tools and emerging technologies such as artificial intelligence and augmented reality.

Research Interest

Dr. Kalemkuş’s research primarily focuses on integrating modern technological advancements into primary education. Her areas of interest include conceptual change, science process skills, argumentation, laboratory experiments, metacognition, misconceptions in science education, 21st-century skills, augmented reality, distance education, visual programming languages, artificial intelligence, and STEM education. Her studies aim to bridge the gap between traditional educational methods and modern technological interventions to improve students’ academic achievement and engagement.

Awards

Dr. Kalemkuş has been recognized for her contributions to educational research and innovation. She has actively participated in prestigious projects, such as the TÜBİTAK-funded initiative “Teachers Developing AI-Supported Next-Generation Teaching Materials” (Project ID: 224B743). Her work has been cited in reputable academic indexes, reflecting its impact on the field. Her nomination for the Best Researcher Award under the AI Data Scientist Awards underscores her dedication to advancing science education through innovative research methodologies.

Publications

Dr. Kalemkuş has published extensively in peer-reviewed journals indexed in SSCI, ERIC, and TR-Index. Some of her notable publications include:

Kalemkuş, J., & Kalemkuş, F. (2025). Primary school students’ perceptions of artificial intelligence: Metaphor and drawing analysis. European Journal of Education, 60(1), 1-23. https://doi.org/10.1111/ejed.70007

Kalemkuş, J., & Kalemkuş, F. (2024). The effect of designing scientific experiments with visual programming on learning outcomes. Science & Education, 1-23. https://doi.org/10.1007/s11191-024-00546-8

Kalemkuş, J., & Kalemkuş, F. (2023). Effect of the use of augmented reality applications on academic achievement in science education: A meta-analysis. Interactive Learning Environments, 31(9), 6017-6034. https://doi.org/10.1080/10494820.2022.2027458

Kalemkuş, J. (2024). Investigation of primary school teachers’ experiences on teaching science during distance education. Journal of Learning and Teaching in Digital Age, 9(2), 12-28. https://doi.org/10.53850/joltida.1326497

Kalemkuş, J., Bayraktar, Ş., & Çiftçi, S. (2021). Comparative effects of argumentation and laboratory experiments on metacognition, attitudes, and science process skills of primary school children. Journal of Science Learning, 4(2), 113-122. https://doi.org/10.17509/jsl.v4i2.27825

Kalemkuş, J. (2021). Fen bilimleri dersi öğretim programı kazanımlarının 21.yüzyıl becerileri açısından incelenmesi. Anadolu Journal of Educational Sciences International, 11(1), 63-87. https://doi.org/10.18039/ajesi.800552

Kalemkuş, J., Bayraktar, Ş., & Çiftçi, S. (2019). Eğitimde sosyal, zihinsel ve sözlü-yazılı bir aktivite: Argümantasyon. Turkish Studies, 14(4), 2449-2467. https://dx.doi.org/10.29228/TurkishStudies.23024

Conclusion

Dr. Jale Kalemkuş is a dedicated researcher and educator whose work has significantly contributed to the advancement of primary science education. Her integration of artificial intelligence, augmented reality, and other digital tools into education has provided valuable insights into modern learning methodologies. With numerous publications in high-impact journals, active involvement in educational projects, and recognition in the academic community, Dr. Kalemkuş continues to influence the field of primary education by developing innovative teaching strategies and conducting groundbreaking research.

Deepak Parashar | Deep Learning | Best Researcher Award

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Dr. Deepak Parashar | Deep Learning | Best Researcher Award

Associate Professor | GSFC University Vadodara Gujarat | India

Dr. Deepak Parashar is an accomplished academician and researcher specializing in Artificial Intelligence and Machine Learning. He is currently serving as an Associate Professor in the Department of Computer Science & Engineering at the School of Technology, GSFC University, Vadodara, Gujarat, India. With over 14 years of academic and research experience, Dr. Parashar has contributed significantly to the field of medical image analysis and computer vision. His expertise lies in developing AI-driven diagnostic solutions, particularly for glaucoma detection. Throughout his career, he has been dedicated to fostering research, mentoring students, and advancing technological innovation in healthcare.

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Education

Dr. Parashar holds a Ph.D. in AI & Machine Learning, with a specialization in medical imaging, from Maulana Azad National Institute of Technology (NIT), Bhopal, India, awarded in February 2022. His thesis focused on improving the classification of glaucoma in retinal fundus images using image decomposition techniques under the supervision of Dr. D. K. Agrawal. He completed his M.Tech. from SGSITS Indore in 2011 and earned his B.E. degree from Indira Gandhi Government Engineering College, Sagar, in 2008. His academic journey started at Jawahar Navodaya Vidyalaya, Ratlam, MP, India, where he completed his schooling under the CBSE Board.

Experience

Dr. Parashar has held various academic and research positions throughout his career. Before joining GSFC University in May 2024, he served as an Assistant Professor at SIT Pune, Symbiosis International University, from 2022 to 2024. He was a Research Fellow at the Image Processing Research Lab, NIT Bhopal, from 2018 to 2022. Previously, he worked as an Assistant Professor in the Department of Electronics and Communication Engineering at G H Patel College of Engineering and Technology (2012-2017) and Shri Vaishnav Institute of Technology and Science (2011-2012). His career began as a Lecturer at Government Engineering College, Ujjain, in 2008.

Research Interests

Dr. Parashar’s research focuses on Artificial Intelligence, Machine Learning, Image Processing, and Medical Image Analysis. His primary interest is in developing automated diagnostic systems for medical applications, particularly in ophthalmology and dermatology. His work on glaucoma detection using AI-based techniques has contributed significantly to the field. He is currently involved in an AI-driven project for early melanoma detection, funded by the Indian Council of Medical Research (ICMR). His research aims to enhance the accuracy and efficiency of medical diagnostics through advanced computational techniques.

Awards and Achievements

Dr. Parashar has received numerous accolades for his contributions to research and academia. He was awarded a Doctoral Fellowship for the TEQIP-III funded project at NIT Bhopal from 2018 to 2022. He has also been recognized as a Senior Member of IEEE and is a GATE-qualified professional. Additionally, he has received the SERB-OVDF Fellowship acceptance and has been an active peer reviewer for reputed SCI journals and conferences hosted by IEEE, Elsevier, and Springer. His early achievements include recognition in the National Mathematics Olympiad Contest (2001) and the All India UN Information Test (1999).

Publications

Dr. Parashar has published extensively in high-impact journals and conferences.

“2-D Compact Variational Mode Decomposition Based Automatic Classification of Glaucoma Stages from Fundus Images” – IEEE Transactions on Instrumentation and Measurement, 2021.

“Automatic Classification of Glaucoma Stages Using Two-Dimensional Tensor Empirical Wavelet Transform” – IEEE Signal Processing Letters, 2021.

“Automated Classification of Glaucoma Stages Using Flexible Analytic Wavelet Transform from Retinal Fundus Images” – IEEE Sensors Journal, 2020. His research has been widely cited, contributing significantly to advancements in medical AI.

Conclusion

Dr. Deepak Parashar is a dedicated academician and researcher committed to advancing AI-driven solutions in medical imaging. With extensive experience in teaching and research, he has significantly contributed to the fields of AI, Machine Learning, and Computer Vision. His ongoing research and publications continue to impact the scientific community, making strides in automated healthcare diagnostics. As an educator and mentor, he remains focused on fostering student growth and innovation in technology, ensuring a positive and lasting influence on the future of AI applications in medicine.

Javad Amini Mahabadi | AI in Healthcare | Best Researcher Award

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Dr. Javad Amini Mahabadi | AI in Healthcare | Best Researcher Award

Ph.D. in Reproductive Biology | Kashan University of Medical Sciences, Kashan | Iran

Dr. Javad Amini Mahabadi is a distinguished researcher in reproductive biology and stem cell research. He holds a Ph.D. in Reproductive Biology from Kashan University of Medical Sciences, where he has been actively contributing to the advancement of medical sciences. With a deep commitment to academic excellence, Dr. Amini Mahabadi has played a pivotal role in various research initiatives focusing on IVF, histopathology, and medical genetics. His expertise extends to scientific writing, laboratory techniques, and mentoring young researchers. As a multilingual scholar fluent in Persian and English, he engages in numerous academic workshops and research committees, striving to bridge the gap between theoretical knowledge and clinical application.

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Education

Dr. Javad Amini Mahabadi pursued his academic journey at Kashan University of Medical Sciences, where he obtained his Ph.D. in Reproductive Biology. His educational background is strongly rooted in cellular biology, stem cell differentiation, and infertility treatment methodologies. His research focus during his doctoral studies revolved around innovative applications of stem cell technology in germ cell differentiation, leading to groundbreaking findings in reproductive health. His academic training has provided him with an extensive knowledge base in histopathology, embryology, and medical genetics, making him a valuable asset to the scientific community.

Experience

Dr. Amini Mahabadi boasts over a decade of experience in academia and research. He has been an integral part of the Gametogenesis Research Center at Kashan University of Medical Sciences, where he has actively contributed to various projects on stem cell applications, male infertility, and regenerative medicine. He has served as a mentor and research guide to graduate students, overseeing numerous dissertations and research endeavors. His involvement in high-impact research collaborations with esteemed institutions and journals has significantly enriched his professional expertise. As a reviewer for reputable medical journals, he plays a key role in maintaining the integrity and quality of scientific publications.

Research Interests

Dr. Amini Mahabadi’s research interests primarily encompass reproductive biology, stem cell technology, and infertility treatments. His investigations have focused on germ cell differentiation from induced pluripotent stem cells, the impact of environmental factors on fertility, and novel therapeutic approaches for reproductive disorders. His work also extends to exploring the role of genetic polymorphisms in infertility and employing herbal medicine in reproductive health. Additionally, he has contributed to the study of regenerative therapies, emphasizing the potential of bioengineered tissues in treating reproductive dysfunctions.

Awards

Dr. Amini Mahabadi has been recognized for his outstanding contributions to reproductive science and medical research. He has received several accolades and nominations for his pioneering work in infertility treatments and stem cell research. His dedication to advancing scientific knowledge has earned him esteemed awards from Kashan University of Medical Sciences and other professional organizations. His research findings have not only been acknowledged nationally but have also gained international recognition, underscoring his influence in the global scientific community.

Selected Publications

Amini Mahabadi J, Karimian M, Aghighi F, et al. “Retinoic acid and 17β-estradiol improve male germ cell differentiation from mouse-induced pluripotent stem cells.” Andrologia, 2020. (Cited by 45 articles)

Enderami SE, Mansour RN, Hasanzadeh E, et al. “Applications of blood plasma derivatives for cutaneous wound healing: A mini-review of clinical studies.” Regenerative Therapy, 2024. (Cited by 30 articles)

Rabbani S, Moshkdanian G, Azadchehr M, et al. “Investigating the difference in the length of lower limbs in patients with patellofemoral pain syndrome.” Archives of Trauma Research, 2024. (Cited by 25 articles)

Yousefzadeh M, Amini Mahabadi J, Karimian M, Nikzad H. “Evaluation of Association between HTR2A and SLC18A Genes Polymorphisms with the Risk of Male Infertility.” International Archives of Health Sciences, 2024. (Cited by 20 articles)

Soleimani Z, Esalatmanesh K, Azadchehr M, et al. “Examining the Outcome of Patients with COVID-19 Receiving Vitamin D Supplement.” International Archives of Health Sciences, 2024. (Cited by 18 articles)

Kosari M, Khorvash F, Sayyah MK, et al. “The influence of propolis plus Hyoscyamus niger L. against COVID‐19: A phase II, multicenter, placebo‐controlled, randomized trial.” Phytotherapy Research, 2024. (Cited by 15 articles)

Amini Mahabadi J, Sabzalipoor H, Bafrani HH, et al. “Application of induced pluripotent stem cell and embryonic stem cell technology to the study of male infertility.” Journal of Cellular Physiology, 2018. (Cited by 12 articles)

Conclusion

Dr. Javad Amini Mahabadi is a highly esteemed researcher whose work in reproductive biology and stem cell research has had a profound impact on the field. His dedication to scientific discovery, coupled with his extensive academic experience, positions him as a leader in infertility research. Through his numerous high-impact publications, collaborations, and mentorship roles, he continues to advance medical knowledge and inspire the next generation of researchers. His unwavering commitment to innovation and excellence ensures that his contributions will have a lasting influence on reproductive health and medical science.

Luigi Bibbo’ | Artificial Intelligence | AI & Machine Learning Award

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Dr. Luigi Bibbo’ | Artificial Intelligence | AI & Machine Learning Award

Research Fellow | Mediterranea University of Reggio Calabria | Italy

Dr. Luigi Bibbò is a distinguished researcher and academician specializing in electronic and computer engineering. With a strong foundation in biomedical engineering, he has contributed significantly to the fields of sensors, photonics, artificial intelligence, and nanotechnology. His extensive research experience spans multiple institutions across Italy, China, and the United States, where he has worked on cutting-edge technologies for biomedical applications, environmental monitoring, and robotics. Dr. Bibbò is actively involved in research projects focusing on big data analysis, forecasting systems, and healthcare-related AI applications.

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Education

Dr. Bibbò holds a PhD in Electronic and Computer Engineering from the Second University of Naples, awarded in 2015. His doctoral research focused on the development of sensors based on plasmon resonance in polymer optical fibers and photonic crystals. Prior to his PhD, he obtained a Master’s degree in Biomedical Engineering from Federico II University of Naples in 2009, where he specialized in organic semiconductor-based OFET for biomedical applications. His academic journey began with a Bachelor’s degree in Biomedical Engineering from the same institution in 2006, focusing on innovative cardiac diagnostic technologies using multislice computed tomography. He later qualified as a professional engineer in 2010.

Experience

Dr. Bibbò has held various research positions at prestigious institutions. Since April 2024, he has been a Research Fellow at the Mediterranean University of Reggio Calabria, working on big data analysis and forecasting systems for climate change adaptation under the TECH4YOU project. From March 2023 to March 2024, he was a Research Fellow at the University of Florence, contributing to the Pharaon Project, which focuses on robotic technologies, IoT, and artificial intelligence for biomedical applications. Prior to this, he served as an Assistant Professor (RTDA) at the Mediterranean University of Reggio Calabria from 2019 to 2022, leading projects on elderly monitoring and localization systems. His international experience includes research fellowships at Shenzhen University, China (2016-2019), where he developed metasurfaces for OAM beam generation, and a visiting scientist role at Tufts University, USA (2013-2014), working on plasmonic-photonic hybrid crystal sensors.

Research Interests

Dr. Bibbò’s research interests encompass a wide range of interdisciplinary fields, including sensors, photonics, fiber optics, MEMS, metamaterials, nanotechnology, artificial intelligence, neural networks, virtual reality, and augmented reality. He has led multiple projects involving CNN-based image classification, predictive modeling using Random Forest Regressor, and AI-driven motion analysis in healthcare. His work integrates fundamental engineering principles with advanced computational techniques to develop innovative solutions for biomedical and environmental challenges.

Awards

Dr. Bibbò has been recognized for his outstanding contributions to research and technology development. He was the winner of the Technologist I° competition at the Mediterranean University of Reggio Calabria. Additionally, he has been a fellow of the Engineering Research Council (FERC) and an active member of Frontiers in Neuroscience. His research has earned him invitations to prestigious international conferences and collaborations with leading scientific journals as a guest editor and reviewer.

Publications

Dr. Bibbò has authored several influential publications in high-impact journals.

Bibbò, L., et al. (2023). “Human Activity Recognition in Healthcare: A Machine Learning Approach.” MDPI Applied Sciences. Cited by 45 articles.

Bibbò, L., et al. (2022). “Development of AI-driven Motion Analysis for Biomedical Applications.” IEEE Access. Cited by 38 articles.

Bibbò, L., et al. (2021). “Nanophotonic Metasurfaces for Orbital Angular Momentum Beam Generation.” Journal of Optics. Cited by 56 articles.

Bibbò, L., et al. (2020). “Plasmonic Nanoparticles and Tunable Dielectric Matrix for Optical Sensing.” Journal of Physics D: Applied Physics. Cited by 72 articles.

Bibbò, L., et al. (2019). “Indoor Navigation System for Dementia Patients Using Augmented Reality.” Frontiers in Neuroscience. Cited by 33 articles.

Bibbò, L., et al. (2018). “Integration of MEMS Sensors for Real-Time Tracking in Smart Environments.” Nanotechnology. Cited by 41 articles.

Bibbò, L., et al. (2017). “Plasmonic-Photonic Hybrid Crystal Sensors for Biochemical Detection.” Journal of Optical Society of America B. Cited by 60 articles.

Conclusion

Dr. Luigi Bibbò’s career is marked by a dedication to advancing electronic and computer engineering through interdisciplinary research. His contributions to biomedical applications, nanotechnology, and artificial intelligence have positioned him as a leading researcher in his field. Through his extensive publication record, international collaborations, and innovative projects, he continues to push the boundaries of technology to improve healthcare, environmental monitoring, and human-computer interaction. His ongoing work at the Mediterranean University of Reggio Calabria and other institutions highlights his commitment to cutting-edge research and knowledge dissemination in engineering and applied sciences.