Lucky Norah Katende-Kyenda | Pharmacy | Best Researcher Award

Published on by Cognitive Scientist Awards

Assoc. Prof. Dr. Lucky Norah Katende-Kyenda | Pharmacy | Best Researcher Award

Walter Sisulu University | South Africa

Assoc. Prof. Dr. Lucky Norah Katende-Kyenda is an accomplished pharmacy scholar and Associate Professor in Pharmacology at Walter Sisulu University, with a strong academic foundation that includes a doctorate in Pharmacy Practice, multiple master’s degrees across pharmaceutical sciences, international primary healthcare and pharmacy practice, and a postgraduate diploma in education earned with distinction. Her professional experience spans advanced teaching, postgraduate supervision, curriculum moderation and extensive contributions as an external examiner for several leading universities, where she supports pharmacology and clinical pharmacy training. Her research interests centre on pharmacy practice, pharmacoepidemiology, public health, maternal health and gender-based violence, reflected in numerous peer-reviewed publications, book chapters and ongoing collaborative projects. She brings strong research skills in qualitative and quantitative methodology, pharmacological evaluation, evidence synthesis and community-focused health research. Her career includes invited talks, guest lectures, scientific presentations, and leadership roles at national and international conferences. She has received recognition for excellence in reviewing, academic service and research contributions, and continues to lead initiatives within human rights and gender-based violence research. Overall, she is a highly dedicated academic whose work advances pharmacology education, strengthens multidisciplinary health research and contributes meaningfully to community-centred healthcare improvement.

Profile: ORCID

Featured Publications

Alain Bernard | Emulate Randomized Controlled trial | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Alain Bernard | Emulate Randomized Controlled trial | Best Researcher Award

Academic Hospital | France

Professor Alain Bernard is a distinguished thoracic and cardiovascular surgeon recognized for his exceptional contributions to clinical practice, health technology evaluation, and healthcare quality improvement. He earned his medical education and surgical specialization in thoracic and cardiovascular surgery from leading French medical institutions, which laid the foundation for his expertise in advanced surgical techniques and patient-centered care. His professional career includes leadership as Head of the Heart-Lung-Vessel Division at Dijon University Hospital, where he advanced innovations in cardiothoracic surgery and fostered interdisciplinary collaboration. Beyond clinical practice, he played an influential role in national health policy, particularly through his long-standing involvement with the French Agency for the Safety of Health Products and the Haute Autorité de Santé, where he guided the evaluation and regulation of medical devices. His research interests center on health technology assessment, healthcare quality, and clinical relevance, supported by publications that demonstrate his analytical skill in using hospital data to improve care outcomes. Professor Bernard’s research skills include critical evaluation of clinical evidence, statistical analysis of health databases, and strategic implementation of healthcare improvement programs. Honored for his leadership and service, he remains a respected voice in French healthcare, dedicated to advancing medical excellence and evidence-based decision-making.

Profile: ORCID

Featured Publications

Manijeh Beigi | Medical Physics | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Manijeh Beigi | Medical Physics | Best Researcher Award

Dr. Manijeh Beigi is an Assistant Professor in the Radiation Oncology Department at Iran University of Medical Sciences. She specializes in dosimetry, radiotherapy treatment planning, and quality audits, with a focus on using machine learning for radiomics and dosiomics analysis. Dr. Beigi earned her Ph.D. in Medical Physics from Tehran University of Medical Sciences in 2018, where she researched the application of Diffusion Tensor Imaging (DTI) in radiotherapy planning. With over a decade of experience in radiotherapy physics, she has worked in multiple hospitals, including Imam Hosein, Haft-e-Tir, and Pardis Niloo Cancer Center. She is actively involved in research on predicting radiotherapy toxicity and advanced MR imaging applications. Dr. Beigi has mentored numerous students, contributed to high-impact journals, and presented at international conferences. Her research aims to enhance radiotherapy precision and patient safety through cutting-edge imaging and AI-driven models. 🎓🔬

Profile

Education 🎓

Dr. Manijeh Beigi holds a Ph.D. in Medical Physics (2018) from Tehran University of Medical Sciences, where she developed automated clinical target volume determination for glioma treatment using multiparametric MRI. She completed her M.Sc. in Medical Physics (2010) at Tarbiat Modares University, focusing on radiotherapy dosimetry and quality audits in Varian linear accelerators. Her coursework covered key topics such as radiotherapy physics, radiobiology, MRI, CT, and PET physics, statistical methods, and treatment planning. Throughout her academic journey, she has specialized in advanced imaging techniques, radiomics, and AI-based predictive modeling for radiotherapy applications. Dr. Beigi’s education has provided her with strong expertise in medical physics, treatment planning optimization, and quality assurance, positioning her as a leader in radiation oncology research and innovation. 📚

Experience 👨‍🏫

Dr. Manijeh Beigi has been an Assistant Professor at Iran University of Medical Sciences since 2020, where she focuses on radiotherapy physics, treatment planning, and quality assurance. Previously, she worked as a Radiotherapy Physicist at Imam Hosein Hospital (2010-2016), Haft-e-Tir Hospital (2016-Present), and Pardis Niloo Cancer Center (2019-2021), specializing in 3D conformal radiotherapy, IMRT planning, machine QA, and dosimetry. She was also a Research Assistant (2012-2018) at Tehran University of Medical Sciences, collaborating on quantitative MRI and spectroscopy research. Dr. Beigi has significant experience in mentoring students, managing research projects, and implementing AI-driven radiotherapy solutions. Her work integrates imaging and machine learning to optimize treatment efficacy and minimize patient toxicity. 💼🔬

Research Interests 🔬

Dr. Manijeh Beigi’s research centers on dosimetry, radiotherapy quality audits, and the application of machine learning in radiomics and dosiomics. She explores AI-driven models to predict radiotherapy toxicity and optimize treatment planning. Her work integrates advanced MRI techniques, such as Diffusion Tensor Imaging (DTI), to enhance clinical target volume delineation for gliomas and other cancers. She investigates imaging biomarkers to assess radiation-induced damage and improve treatment precision. Additionally, Dr. Beigi is actively involved in multi-disciplinary research collaborations, utilizing deep learning for medical image analysis. Her contributions aim to advance radiation oncology by improving accuracy, reducing side effects, and personalizing treatment plans. 🧬📡

Dr. Manijeh Beigi has received several accolades for her contributions to medical physics and radiotherapy research. She has been recognized for her work in AI-driven radiomics and dosiomics at international conferences, including ESTRO and AAPM. Her research on glioma segmentation using DTI and radiotherapy toxicity prediction has been published in top-tier journals. She has also been awarded grants for her studies on advanced MRI applications in radiotherapy planning. Additionally, Dr. Beigi has played a key role in multi-institutional research collaborations, earning recognition for her leadership in medical imaging and quality assurance. 🏆🎖️

Publications 📚