Behzad Imani | Machine Learning | AI & Machine Learning Award

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Assoc. Prof. Dr. Behzad Imani | Machine Learning | AI & Machine Learning Award

Associate Professor in Nursing at Hamadan University of Medical Sciences, Iran

Dr. Behzad Imani is a distinguished scholar in the field of nursing education with extensive experience in clinical research, education, and healthcare practice. With a strong background in nursing and pedagogy, Dr. Imani has significantly contributed to the development of educational tools and methodologies that enhance the training of clinical nurses. His work focuses on bridging the gap between theoretical knowledge and practical application, ensuring that nursing professionals are equipped with the necessary competencies to deliver high-quality patient care.

Profile

Orcid

Education

Dr. Imani earned his Ph.D. in Nursing Education from Tarbiat Modares University of Tehran between 2013 and 2017. His doctoral research centered on the development and psychometric validation of an emotional intelligence assessment tool designed for clinical nurses. This study has played a pivotal role in advancing the understanding of emotional intelligence in healthcare settings, emphasizing its impact on patient care and workplace dynamics. Dr. Imani’s academic journey reflects his commitment to elevating nursing education through rigorous research and evidence-based practices.

Experience

With a career spanning over two decades, Dr. Imani has served in various academic and clinical capacities, fostering the professional growth of nurses and healthcare practitioners. His experience includes teaching at renowned medical universities, designing curricula for nursing programs, and supervising graduate research projects. Dr. Imani has also worked in clinical settings, where he has applied his expertise in patient care, surgical nursing, and healthcare management. His multidisciplinary approach integrates education, clinical practice, and research to enhance healthcare delivery and nursing competence.

Research Interests

Dr. Imani’s research primarily focuses on nursing education, emotional intelligence, patient care strategies, and occupational health among healthcare workers. His studies explore the psychological and emotional aspects of nursing, emphasizing the importance of mental well-being in professional practice. Additionally, he has investigated topics such as work engagement among surgical technologists, the impact of surgical smoke on healthcare personnel, and strategies for improving operating room safety. His work aims to improve both the educational experiences of nursing students and the working conditions of healthcare professionals.

Awards

Dr. Imani has been recognized for his contributions to nursing education and research through numerous awards and honors. His innovative research on emotional intelligence in nursing has garnered attention at academic conferences and medical symposiums. Additionally, he has received accolades for his teaching excellence and dedication to mentoring students in the field of nursing and healthcare management. His work has also influenced policy recommendations on improving occupational health standards in clinical environments.

Publications

Dr. Imani has authored multiple research articles and books in both Persian and English. Below are some of his notable publications:

Imani, B., Zandi, S., Mostafayi, M., Zandi, F. (2022). “Presentation of a model of the work engagement in surgical technologists: A qualitative study.” Perioperative Care and Operating Room Management, 26, 100235. [Cited: X times]

Merajikhah, A. M., Imani, B., Khazaei, S., Bouraghi, H. (2022). “Impact of Surgical Smoke on the Surgical Team and Operating Room Nurses and its Reduction Strategies: A Systematic Review.” Iran J Public Health, 51(1), 27-36. [Cited: X times]

Bastami, M., Imani, B., Koosha, M. M. (2022). “Operating room nurses experience about patient care for laparotomy surgeries: A phenomenological study.” Journal of Family Medicine and Primary Care. [Cited: X times]

Imani, B., Zandi, S., Khazaei, S., Mirzaei, M. (2021). “The lived experience of HIV-infected patients in the face of a positive diagnosis: A phenomenological study.” AIDS Research and Therapy, 18(1), 95. [Cited: X times]

Mostafayi, M., Imani, B., Zandi, S., Jongi, F. (2021). “Impact of Maternal Anxiety and Hemodynamic Parameters during a Cesarean Section on the Neonatal Apgar Score.” Acta Scientific Women’s Health, 3(6). [Cited: X times]

Mahdood, B., Imani, B., Khazaei, S. (2022). “Effects of inhalation aromatherapy with Rosa damascena on state anxiety and sleep quality of operating room personnel during the COVID-19 pandemic: A randomized controlled trial.” Journal of PeriAnesthesia Nursing. [Cited: X times]

Shirdel, Z., Imani, B., Manafi, B. (2021). “The Effect of Home Care Training on Anxiety and Vital Signs Levels in Coronary Artery Bypass Grafting Patients: A Randomized Clinical Trial.” Journal of PeriAnesthesia Nursing, 36, 393-397. [Cited: X times]

Conclusion

Dr. Behzad Imani is a leading figure in nursing education and clinical research, with a profound impact on the academic and healthcare sectors. His work in emotional intelligence, occupational health, and nursing education has contributed to advancements in training methodologies and patient care practices. Through his dedication to research, teaching, and clinical application, Dr. Imani continues to shape the future of nursing by fostering a generation of competent and emotionally intelligent healthcare professionals. His contributions extend beyond academia, influencing policies and practices that enhance the well-being of both nurses and patients in clinical environments.

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.

Profile

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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.