Ramin Jaberi | Medical Devices | Best Researcher Award

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Prof. Dr. Ramin Jaberi | Medical Devices | Best Researcher Award 

Professor | Tehran University of Medical Sciences | Iran

Dr. Ramin Jaberi is a distinguished Medical Physicist specializing in Brachytherapy, Dosimetry, and Monte Carlo Simulation within the field of Radiation Oncology. He earned his Ph.D. in Medical Sciences (2013) from Amsterdam University of Applied Sciences, Netherlands, where he developed a strong foundation in radiation treatment modeling and applied medical physics. Currently serving as a Brachytherapy Physicist at Tehran University of Medical Sciences, Dr. Jaberi brings over two decades of clinical and research experience, contributing extensively to improving cancer radiotherapy accuracy and patient safety. His professional experience includes collaborative projects with prestigious institutions such as the University of Surrey (UK) and participation in IAEA- and ESTRO-supported research initiatives, focusing on optimizing radiation dose distribution and precision therapy. His research interests encompass radiation dose optimization, imaging-based treatment planning, Monte Carlo simulation in radiation transport, and advanced brachytherapy source characterization. Dr. Jaberi’s research skills include expertise in computational modeling, data analysis, radiotherapy system calibration, and experimental dosimetry validation, making him a valuable contributor to the advancement of applied radiation sciences. He has published extensively in Scopus- and IEEE-indexed journals, including numerous Q1-ranked articles addressing clinical and computational aspects of brachytherapy physics. His outstanding academic and clinical contributions have earned him recognition from international medical physics societies and participation in scientific committees and training programs that promote safe radiotherapy practices. A dedicated educator and mentor, he actively supports young researchers in developing computational and analytical approaches to medical physics problems. Dr. Jaberi’s work bridges innovation and clinical application, reflecting a lifelong commitment to enhancing the effectiveness of cancer treatment through research-driven radiotherapy advancements. His consistent scholarly output underscores his impact in biomedical physics, with 385 citations from 337 documents, 56 published papers, and an h-index of 11.

Featured Publications

  1. Naseripour, M., Jaberi, R., Sedaghat, A., Azma, Z., Nojomi, M., Falavarjani, K. G., … (2016). Ruthenium-106 brachytherapy for thick uveal melanoma: Reappraisal of apex and base dose radiation and dose rate. Journal of Contemporary Brachytherapy, 8(1), 66–73.
    Citations: 63

  2. Kalaghchi, B., Esmati, E., Ghalehtaki, R., Gomar, M., Jaberi, R., Gholami, S., … (2018). High-dose-rate brachytherapy in treatment of non-melanoma skin cancer of head and neck region: Preliminary results of a prospective single institution study. Journal of Contemporary Brachytherapy, 10(2), 115–122.
    Citations: 35

  3. Naseripour, M., Maleki, A., Astaraki, A., Sedaghat, A., Jaberi, R., Lee, S., Azma, Z., … (2018). Ruthenium-106 brachytherapy in the treatment of circumscribed choroidal hemangioma. Retina, 38(5), 1024–1030.
    Citations: 32

  4. Allahverdi, M., Sarkhosh, M., Aghili, M., Jaberi, R., Adelnia, A., & Geraily, G. (2012). Evaluation of treatment planning system of brachytherapy according to dose to the rectum delivered. Radiation Protection Dosimetry, 150(3), 312–315.
    Citations: 28

  5. Siavashpour, Z., Aghamiri, M. R., Jaberi, R., Manshadi, H. R. D., & Ghaderi, R. (2016). Optimum organ volume ranges for organs at risk dose in cervical cancer intracavitary brachytherapy. Journal of Contemporary Brachytherapy, 8(2), 135–142.
    Citations: 27

Negin Maroufi | Public Health | Best Researcher Award

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Ms. Negin Maroufi | Public Health | Best Researcher Award

University of Otago | New Zealand

Ms. Negin Maroufi is a highly motivated Ph.D. candidate in Public Health at the University of Otago, Wellington (2023–present), specializing in the application of machine learning and multi-source surveillance data to predict seasonal influenza patterns in New Zealand to support improved prevention and health service management. She holds an M.Sc. in Computer Engineering (Software) from Islamic Azad University, Neyshabur, Iran (2018), where her thesis focused on designing approximate compressor circuits using Quantum-dot Cellular Automata, and a B.Sc. in Computer Engineering (Hardware) from Ferdowsi University of Mashhad, Iran (2013), where she developed character recognition systems via tablet digitizers. Her professional experience includes serving as Deputy of Research and Technology at Neyshabour University of Medical Sciences (2021–2023), coordinating IT infrastructure, database management, and epidemiological data analysis, and contributing to the Neyshabur Longitudinal Study on Ageing (NeLSA) from 2017–2021, where she designed databases, developed web interfaces, performed statistical analyses, and assisted in COVID-19 surveillance reporting. She has also taught English, programming, and IT courses in various institutions, demonstrating strong mentorship and teaching capabilities. Her research interests lie at the intersection of digital epidemiology, public health informatics, machine learning, and predictive modeling for infectious disease surveillance. She possesses advanced research skills in C/C#/ASP.NET programming, Python, R, STATA, SQL database design, data cleaning, machine learning, and biomedical data analysis, and holds certifications in Good Clinical Practice, biomedical research ethics, and data science. Her work has been published in reputable journals such as the Middle East Journal of Digestive Diseases and the International Journal of Epidemiology, and she has contributed to national COVID-19 epidemiology reports. Negin has received the University of Otago Doctoral Scholarship, maintained top grades throughout her academic career, and earned awards in mathematics and programming competitions. Her combined expertise, research experience, and leadership abilities position her as a promising emerging scholar in public health and digital epidemiology. 27 Citations by 27 documents, 3 Documents, h-index 1.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Aminisani, N., Azimi-Nezhad, M., Shamshirgaran, S. M., Mirhafez, S. R., Borji, A., Poustchi, H., Sezavar, S. H., Ansarin, K., Kolahi, S., Javadpor, A., Rezaei, A., Hooshmand, E., Maroufi, N., Tabaei, S., Eghtesad, S., Hyde, M., Kenny, R. A., Raina, P., Stephens, C., Malekzadeh, R. (2022). Cohort profile: The IRanian Longitudinal Study on Ageing (IRLSA): The first comprehensive study on ageing in Iran. International Journal of Epidemiology, 51(4), e177–e188. Citations: 37

  2. Maroufi, N., & Bahrepour, D. (2018). A novel three-input approximate XOR gate design based on quantum-dot cellular automata. Journal of Computational Electronics, 17(2), 866–879. Citations: 7

  3. Bahrepour, D., & Maroufi, N. (2018). A 2-bit full comparator design with a minimum quantum cost function in quantum-dot cellular automata. Information Systems & Telecommunication, 6, 197–203. Citations: 5

  4. Bahrepour, D., & Maroufi, N. (2019). A 2-bit full comparator design with minimum quantum cost function in quantum-dot cellular automata. Journal of Information Systems and Telecommunication (JIST), 4(24), 197. Citations: 3

  5. Maroufi, N., Sohrabi, M., Mehrabadi, S., Zamani, F., Ajdarkosh, H., Hatamian, S., Bahavar, A., Tameshkel, F. S., Gholami, A. (2024). Poor sleep quality and its influencing factors among Iranian patients with esophageal and gastric cancer. Middle East Journal of Digestive Diseases, 16(1), 39–46. Citations: 2