Ian Freckelton | Biomedical Sciences | Best Researcher Award

Prof. Ian Freckelton | Biomedical Sciences | Best Researcher Award 

Professor/Judge/King’s Counsel | University of Melbourne | Australia

Prof. Ian Freckelton AO KC is an eminent Australian barrister, academic, and jurist recognized internationally for his multifaceted contributions to law, psychiatry, and public policy. A King’s Counsel with extensive appellate, trial, and advisory experience, he has practiced across Australia and abroad in administrative, criminal, human rights, and professional negligence law. His exceptional professional standing is reflected in repeated recognition by Doyle’s Guide and Best Lawyers in Australia across public, commercial, and personal injury law categories. He serves as a Judge of the Supreme Court of the Republic of Nauru and has held numerous tribunal roles in mental health, medical regulation, and professional discipline. As Professor of Law and Professorial Fellow in Psychiatry at the University of Melbourne, and Honorary Professor at several leading universities, he bridges legal scholarship and forensic science with a distinctive interdisciplinary approach. A prolific scholar, he has authored and edited over 300 books, chapters, and peer-reviewed papers shaping contemporary discourse in forensic law, expert evidence, and human rights. His research and advocacy have significantly influenced legal reforms, professional accountability, and justice innovation. Ian Freckelton’s academic influence is evidenced by 1,481 citations from 1,163 documents, 313 publications, and an h-index of 15, underscoring his enduring impact on law and society through scholarship, legal practice, and public service.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Freckelton, I. (2020). COVID-19: Fear, quackery, false representations and the law. International Journal of Law and Psychiatry, 72, Article 101611. Citations: 190

  2. Freckelton, I. (2007). Therapeutic jurisprudence misunderstood and misrepresented: Price and risks of influence. Thomas Jefferson Law Review, 30, 575–600. Citations: 180

  3. Denault, V., Plusquellec, P., Jupe, L. M., St-Yves, M., Dunbar, N. E., Hartwig, M., … & Freckelton, I. (2020). The analysis of nonverbal communication: The dangers of pseudoscience in security and justice contexts. Anuario de Psicología Jurídica, 30(1), 1–12. Citations: 117

  4. Bennett, B., McDonald, F., Beattie, E., Carney, T., Freckelton, I., White, B., … & Willmott, L. (2017). Assistive technologies for people with dementia: Ethical considerations. Bulletin of the World Health Organization, 95(11), 749–755. Citations: 115

  5. Freckelton, I. R., & Ranson, D. L. (2006). Death investigation and the coroner’s inquest. Oxford University Press. Citations: 113

Negin Maroufi | Public Health | Best Researcher Award

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