Yuxin Yin | Neurogenetics | Research Excellence Award

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Prof. Dr. Yuxin Yin | Neurogenetics | Research Excellence Award

Prof. Dr. Yuxin Yin | The Chinese University of Hong Kong | China

Yuxin Yin is a Presidential Chair Professor at the School of Medicine, The Chinese University of Hong Kong, Shenzhen, recognized for pioneering contributions to molecular oncology, genome stability, and translational systems biomedicine. Trained at UNC-Chapel Hill and Princeton and previously a tenured professor at Columbia University, he later led basic medical sciences at Peking University before joining CUHK-Shenzhen. His research dissects tumor-suppressor signaling networks, including p53 and PTEN pathways, DNA-replication stress responses, genome-stability mechanisms, and the immunological dynamics that shape cancer progression. He has also advanced AI-driven metabolomics for early cancer screening, contributing to cross-disciplinary integration between cancer biology, data science, and neuroscience-inspired approaches. With more than 189 publications and an extensive research portfolio of approximately 190 completed and ongoing projects, his work has been cited over 7,264 times, with 6,352 citing articles and an average of 38.43 citations per item. He holds an H-index of 45, reflecting sustained global influence in cancer biology and biomedical innovation. Beyond academia, Yin contributes to translational and industry-facing initiatives, including AI-metabolomics screening programs and multidisciplinary collaborations that accelerate precision medicine. His leadership and scientific achievements continue to shape emerging directions in cancer research, systems biomedicine, and next-generation diagnostic technologies.

Profile: Orcid

Featured Publications

Lu, Y., Ding, D., Chen, H., Jiang, P., Luo, J., Shan, H., Wang, G., Luo, J., and Yin, Y. (2025). Structural determination of the human taurine transporter TauT reveals the mechanism of substrate and inhibitor recognition. Cell Reports, 116591.

Shen, Z., Zhong, A., Zhang, C., Tang, X., Zhao, X., Hou, Z., Liang, H., and Yin, Y. (2025). LncPTEN1, a long non-coding RNA generated from PTEN, suppresses lung cancer metastasis through the regulation of EMT progress. Non-coding RNA Research.

Tang, X., Zhang, Q., Shen, Z., Xiao, J., Li, M., Meng, X., Wang, C., Zhang, G., Liu, A., and Yin, Y. (2025). Single-cell multi-omics analysis reveals cancer regulatory elements of transcriptional programs and clinical implications. Cell Death & Disease.

Liu, A., Xiao, J., Wang, C., Meng, X., He, C., Li, M., Zhang, G., Tang, X., and Yin, Y. (2025). Single-cell multi-omics analysis reveals the plasticity of isthmus stem cells in gastric carcinogenesis. Computers in Biology and Medicine, 110662.

Li, Y., Zhou, J., Zhang, Z., Jiang, S., Yin, Q., Xiao, J., Li, X., Yin, Y., Ye, L., Peng, S., et al. (2025). RPA1 protects DNA damage induced PANoptosis in limb development. Science Advances.

Yu, S., Ding, J., Wang, J., Wang, W., Zuo, P., Yang, A., Dai, Z., Yin, Y., Sun, J., and Liang, L. (2025). Structural insights into cholesterol sensing by the LYCHOS-mTORC1 pathway. Nature Communications.

James Shine | Systems Neuroscience | Research Excellence Award

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Prof. Dr. James Shine | Systems Neuroscience | Research Excellence Award

Prof. Dr. James Shine | The University of Sydney | Australia

This researcher is an influential systems neurobiologist whose work has significantly advanced the scientific understanding of whole-brain neural dynamics. With over 170 peer-reviewed publications, more than 16,000 citations, an h-index of 67, and an i10-index of 177, their scholarly contributions have shaped multiple domains within contemporary neuroscience. Their research integrates multimodal neuroimaging, computational modelling, network science, and systems-level neurobiology to uncover the principles governing cognition, attention, and consciousness. A major focus of their work involves developing biophysically informed models that link neuroanatomical organization with large-scale patterns of human brain activity, enabling the generation of testable predictions across imaging modalities. Their publications span impactful studies in neuroimaging, neurobiology, and computational science, including widely cited papers in high-profile journals. Their seminal insights into dynamic functional brain network integration have catalyzed global interest in time-resolved brain connectivity, influencing methodological developments and being adopted by more than 100 research groups across over 90 countries. Their research program also advances innovative computational frameworks for analysing complex neural signals, contributing both theoretical and practical tools that inform the study of neurodegenerative conditions and cognitive function. their work continues to shape the direction of systems neuroscience and quantitative brain research.

Profile: Google Scholar

Featured Publications

Shine, J. M., Bissett, P. G., Bell, P. T., Koyejo, O., Balsters, J. H., Gorgolewski, K. J., … (2016). The dynamics of functional brain networks: Integrated network states during cognitive task performance. Neuron, 92(2), 544–554.

Hansen, J. Y., Shafiei, G., Markello, R. D., Smart, K., Cox, S. M. L., Nørgaard, M., … (2022). Mapping neurotransmitter systems to the structural and functional organization of the human neocortex. Nature Neuroscience, 25(11), 1569–1581.

Lurie, D. J., Kessler, D., Bassett, D. S., Betzel, R. F., Breakspear, M., Kheilholz, S., … (2020). Questions and controversies in the study of time-varying functional connectivity in resting fMRI. Network Neuroscience, 4(1), 30–69.

Shine, J. M., Breakspear, M., Bell, P. T., Ehgoetz Martens, K. A., Shine, R., … (2019). Human cognition involves the dynamic integration of neural activity and neuromodulatory systems. Nature Neuroscience, 22(2), 289–296.

Poldrack, R. A., Laumann, T. O., Koyejo, O., Gregory, B., Hover, A., Chen, M. Y., … (2015). Long-term neural and physiological phenotyping of a single human. Nature Communications, 6, 8885.

Shine, J. M., Matar, E., Ward, P. B., Frank, M. J., Moustafa, A. A., Pearson, M., … (2013). Freezing of gait in Parkinson’s disease is associated with functional decoupling between the cognitive control network and the basal ganglia. Brain, 136(12), 3671–3681.

lavanya Choppavarapu | Molecular and Cellular Neuroscience | Research Excellence Award

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Dr. lavanya Choppavarapu | Molecular and Cellular Neuroscience | Research Excellence Award

Dr. lavanya Choppavarapu | Medical college of Wisconsin | United States

Lavanya Choppavarapu, Ph.D., is a research scientist specializing in cancer genomics, chromatin biology, and genome-editing technologies. She currently serves at the Medical College of Wisconsin, where she leads projects applying CRISPR-Cas9 approaches to investigate mechanisms of endocrine-resistant breast cancer. Her postdoctoral training at the Medical College of Wisconsin and the University of Texas Health Science Center San Antonio strengthened her expertise in regulatory genomics, particularly in defining the roles of chromatin looping, 3D genome organization, and enhancer–promoter interactions across breast, prostate, and pancreatic cancer models. Earlier, at the National Institute of Mental Health and Neurosciences, she contributed extensively to human genetics research as a Senior and Junior Research Fellow, and further gained foundational experience at the All India Institute of Medical Sciences. Her academic background spans biotechnology and human genetics, providing a multidisciplinary foundation for her cancer-focused investigations. Dr. Choppavarapu has produced impactful scientific contributions, reflected in 189 citations, an h-index of 8, an i10-index of 7, and 132 citation counts with an h-index of 6 and i10-index of 5 across platforms. Her work continues to advance understanding of gene regulation, epigenetic control, and chromatin dynamics in cancer progression.

Profile: Google Scholar

Featured Publications

Lavanya, C., Venkataswamy, M. M., Sibin, M. K., Srinivas Bharath, M. M., Manoj, M. J., & others. (2018). Down regulation of human telomerase reverse transcriptase (hTERT) expression by BIBR1532 in human glioblastoma LN18 cells. Cytotechnology, 70(4), 1143–1154.

Sibin, M. K., Bhat, D. I., Narasingarao, K. V. L., Lavanya, C., & Chetan, G. K. (2015). CDKN2A (p16) mRNA decreased expression is a marker of poor prognosis in malignant high-grade glioma. Tumor Biology, 36(10), 7607–7614.

Li, J., Fang, K., Choppavarapu, L., Yang, K., Yini, X., & others. (2021). Hi-C profiling of cancer spheroids identifies 3D-growth-specific chromatin interactions in breast cancer endocrine resistance. Clinical Epigenetics, 13, Article 175.

Yang, Y., Choppavarapu, L., Fang, K., Naeini, A. S., Nosirov, B., Li, J., Yang, K., & others. (2020). The 3D genomic landscape of differential response to EGFR/HER2 inhibition in endocrine-resistant breast cancer cells. Biochimica et Biophysica Acta (BBA) – Gene Regulatory Mechanisms, 1863(11), 194631.

Lavanya, C., Sibin, M. K., Srinivas Bharath, M. M., Manoj, M. J., & others. (2016). RNA interference mediated downregulation of human telomerase reverse transcriptase (hTERT) in LN18 cells. Cytotechnology, 68(6), 2311–2321.

Sibin, M. K., Bhat, D. I., Lavanya, C., Manoj, M. J., Aakershita, S., & Chetan, G. K. (2014). CDKN2A exon-wise deletion status and novel somatic mutations in Indian glioma patients. Tumor Biology, 35(2), 1467–1472.

Nikhil Agarwal | Neuroimaging | Young Scientist Award

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Mr. Nikhil Agarwal | Neuroimaging | Young Scientist Award

Mr. Nikhil Agarwal | Paher University | India

Nikhil Agarwal is a Research Scholar in the Department of Chemistry at PAHER University, Udaipur, specializing in supramolecular chemistry with a focus on molecular interactions, host–guest systems, and functional materials. His academic pathway includes foundational training in medical sciences, advanced studies in pharmaceutical chemistry, and professional qualifications in education, contributing to a multidisciplinary perspective that strengthens his research approach. He has accumulated extensive teaching experience, serving in coaching institutes and later as a postgraduate teacher in Biology and Chemistry, where he also handled responsibilities as Exam Head and CBSE Coordinator while contributing to physical education activities. His research output reflects growing scholarly recognition, with a total of 49 citations, an h-index of 3, and an i10-index of 1, demonstrating his contributions to the field and the impact of his published documents. Alongside his academic commitments, he is driven by strong professional values such as discipline, dedication, and a result-oriented mindset, continuously striving to enhance his abilities and pursue excellence in both research and teaching. His combined expertise in supramolecular chemistry, educational practice, and academic administration positions him as a committed researcher aiming to advance scientific understanding and contribute meaningfully to his discipline.

Profiles: Google Scholar | Orcid

Featured Publications

Sharma, V. S., Sharma, A. S., Agarwal, N. K., Shah, P. A., & Shrivastav, P. S. (2020). Self-assembled blue-light emitting materials for their liquid crystalline and OLED applications: From a simple molecular design to supramolecular materials. Molecular Systems Design & Engineering, 5(10), 1691–1705.

Sharma, V. S., Sharma, A. S., Ganga, V. S. R., Shrivastav, P. S., Shah, P. A., & Agarwal, N. (2021). Room-temperature blue-light-emitting liquid crystalline materials based on phenanthroimidazole-substituted carbazole derivatives. New Journal of Chemistry, 45(47), 22193–22201.

Sharma, V. S., Sharma, A. S., Agarwal, N. K., Shah, P. A., & Shrivastav, P. S. (2021). Correction: Self-assembled blue-light emitting materials for their liquid crystalline and OLED applications: From a simple molecular design to supramolecular materials. Molecular Systems Design & Engineering, 6(6), 493.

Rana, J. R., Sharma, V. S., Agarwal, N. K., Panchal, J., & Gothwal, R. (2022). Synthesis, characterization, mesomorphic study of some novel sulphonamide Schiff base derivatives and their antimicrobial evaluation. World Scientific News, 168, 69–80.

Patel, V. B., Agarwal, N. K., Sharma, V. S., Gothwal, R., & Sharma, B. (2022). Synthesis, characterization, mesomorphic and biological evaluation of some novel sulphonamide Schiff base derivatives. World Scientific News, 1–15.

Agarwal, N., Sharma, V. S., Mali, H., Pathan, S., Thakar, S., Athar, M., … (2025). Pyrene-based macrocyclic system with tetramethoxy resorcinarene functionalization: Applications in liquid crystals and bioimaging study. Journal of Molecular Liquids, Article 128943.

Hui Gan | Molecular and Cellular Neuroscience | Research Excellence Award

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Dr. Hui Gan | Molecular and Cellular Neuroscience | Research Excellence Award

Dr. Hui Gan | Chongqing Medical University | China

Professor Hui Gan is a distinguished researcher at Chongqing Medical University, serving as a master’s supervisor, associate research fellow, and Assistant to the Dean of the School of Basic Medical Sciences, where she also leads the Department of Pathophysiology in an acting capacity. Her research primarily focuses on neuroinflammation, microglial regulation, and inflammasome-mediated injury following cerebral hemorrhage, with significant contributions to understanding TRIM21-mediated mechanisms and microglial transcriptional pathways such as c-MAF–NLRP3 signaling. She has secured multiple competitive national and regional research grants supporting investigations into inflammasome activation, microcirculatory dysfunction, and post-hemorrhagic inflammatory injury. Professor Gan has received notable recognitions, including awards for early-career excellence and contributions to microcirculation research. She plays an active role in professional societies as a committee member of the Microcirculation Committee of the Chinese Society of Pathophysiology and a young committee member of the Translational Medicine Committee of the Chinese Society of Microcirculation, contributing to academic development in basic and translational medical sciences. Her scholarly output includes 18 documents, with 196 citations across 175 citing documents, reflecting a solid research impact supported by an h-index of 8. Through her scientific leadership and innovative research, she continues to advance understanding of inflammatory mechanisms in neurological injury.

Profile: Scopus

Featured Publication

Gan, H., Gan, H.-Y., Zhang, M., Duan, Y., Palahati, A., He, Q., Tan, J., Li, Y., Zhai, X., & Zhao, J. (2025). Microglial NFAT5 aggravates neuroinflammation via mediating NLRP6 inflammasome in experimental ischemic stroke. Genes and Diseases, 12(6),

Jie Xia | Neuroinformatics | Research Excellence Award

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Ms. Jie Xia | Neuroinformatics | Research Excellence Award

Ms. Jie Xia | Zhejiang university | China

Jie Xia is a researcher in electronic science and technology whose work focuses on brain imaging, biomedical signal processing, and micro–nano sensing systems. She is pursuing advanced training at Zhejiang University, where her studies integrate artificial intelligence–guided learning with next-generation sensing and detection technologies. Her academic background in automation and electronic engineering provides a strong foundation in circuits, digital logic, and signal analysis. Xia’s research experience includes serving as an algorithm engineer at the Institute of Optoelectronics at Westlake University, where she contributed to the development of a non-invasive photoelectric multimodal brain imaging system. In this role, she designed and optimized algorithms for near-infrared functional brain imaging and developed computational methods to quantify changes in oxygenated and deoxygenated hemoglobin, supporting real-time monitoring of cerebral activity. Her research contributions span neuroimaging technology, optical sensing, and computational modeling, with growing impact in the field. She has produced multiple scholarly outputs, reflected in 67 citations, 65 documents, an h-index of 5, and an i10-index of 3, demonstrating consistent influence and early-career productivity. Xia continues to develop interdisciplinary methods that bridge engineering and neuroscience, aiming to advance non-invasive brain monitoring technologies and their translational applications.

Profile: Google Scholar

Featured Publications

Zhang, F., Zhang, L., Xia, J., Zhao, W., Dong, S., Ye, Z., Pan, G., Luo, J., & Zhang, S. (2023). Multimodal electrocorticogram active electrode array based on zinc oxide‐thin film transistors. Advanced Science, 10(2), 2204467.

Zhou, P., Bai, C., Xia, J., & Chen, S. (2020). CMRDF: A real-time food alerting system based on multimodal data. IEEE Internet of Things Journal, 9(9), 6335–6349.

Li, B., Li, M., Xia, J., Jin, H., Dong, S., & Luo, J. (2024). Hybrid integrated wearable patch for brain EEG-fNIRS monitoring. Sensors, 24(15), 4847.

Wang, S., Yang, L., Jiang, H., Xia, J., Li, W., Zhang, Z., Zhang, S., Jin, H., Luo, J., … (2023). Multifunctional evaluation technology for diagnosing malfunctions of regional pelvic floor muscles based on stretchable electrode array probe. Diagnostics, 13(6), 1158.

Zhou, P., Bai, C., & Xia, J. (2019). ZJUTCVR Team at ImageCLEFlifelog2019 Lifelog Moment Retrieval Task. CLEF (Working Notes), 11.

Xia, J., Zhang, F., Zhang, L., Cao, Z., Dong, S., Zhang, S., Luo, J., & Zhou, G. (2024). Magnetically compatible brain electrode arrays based on single-walled carbon nanotubes for long-term implantation. Nanomaterials, 14(3), 240.

Zhou, P., Xia, J., Peng, X., Zhao, W., Ye, Z., Li, Z., Yang, S., Pan, J., Chen, Y., … (2025). Neural-driven image editing. NeurIPS 2025.

Pan, J., Xia, J., Zhang, F., Zhang, L., Zhang, S., Pan, G., & Dong, S. (2023). 7T magnetic compatible multimodality electrophysiological signal recording system. Electronics, 12(17), 3648.

Serap Ozdemir | Behavioral neuroscience | Research Excellence Award

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Dr. Serap Ozdemir | Behavioral neuroscience | Research Excellence Award

Dr. Serap Ozdemir | Gaziantep University | Turkey

Serap Özdemir is an Assistant Professor in the Department of Pediatric Nursing at Gaziantep University, where she actively contributes to advancing neonatal and pediatric health research. She completed her doctorate at Istanbul University-Cerrahpaşa in the Graduate School of Child Health and Disease Nursing, developing strong expertise in neonatal intensive care, preterm infant care, and adolescent health. Her scholarly work spans randomized controlled trials, psychometric scale development, and investigations into cultural competence and professional attitudes among nursing students. She has authored multiple national and international publications addressing key issues such as the impact of different bathing methods on neonatal skin integrity and bilirubin levels, the effectiveness of facilitated tucking on preterm infant comfort and physiological stability, and the validation of caring self-efficacy measures for pediatric nurses. Her article portfolio reflects significant research productivity, supported by an h-index of 7, an i10-index of 6, and more than 175 citations across 165 documents, demonstrating growing global recognition of her contributions. Her current research continues to focus on improving neonatal outcomes, enhancing culturally competent nursing care, and strengthening evidence-based practices within pediatric health settings. Through her academic leadership and clinical-research integration, she remains committed to elevating the quality of care for infants, children, and their families.

Profile: Google Scholar

Featured Publications

Cetinkaya, S., Yavas Celik, M., & Ozdemir, S. (2022). Effect of white noise on alleviating the pain of newborns during invasive procedures. The Journal of Maternal-Fetal & Neonatal Medicine, 35(8), 1426–1432.

Sevinç, S., & Özdemir, S. (2017). Relationship between nursing students’ anxiety and hopelessness: Kilis example. Nursing Research and Development, 19(2), 14–24.

Özdemir, S., Küçük, F., Balcı, S., & Türköz, A. (2020). 11–18 yaş arasındaki adolesanların internet bağımlılık düzeyleri. Balıkesir Sağlık Bilimleri Dergisi, 9(2), 83–92.

Özdemir, S., & Yıldız, S. (2019). The effects of massage on the weight gain of preterm infants: A systematic review. Journal of Traditional Medical Complementary Therapies, 2(1), 33–41.

Özdemir, S., & Sevinç, S. (2023). Correlation between cultural competence, xenophobia, and attitudes towards brain drain in nursing students. Nurse Education Today, 131, 105963.

Ozdemir, S., & Balci, S. (2020). The effect of earmuffs on physiological parameters in preterm infants: A systematic review. Current Pediatric Reviews, 16(2), 156–163.

Özdemir, S. (2017). Savaşın çocuklar üzerindeki etkileri, sağlık ve umut. Turkiye Klinikleri Journal of Nursing Sciences, 9(4).

Elmaoğlu, E., & Özdemir, S. (2022). Pediatri hemşireleri tarafından karşılanamayan bakım ve nedenleri. Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elektronik Dergisi, 15(2), 175–185.

Dr.A. Jayanthila Devi | Neuroinformatics | Women Researcher Award

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Dr.A. Jayanthila Devi | Neuroinformatics | Women Researcher Award 

Dr.A. Jayanthila Devi | Adichunchinagiri university | India

Dr. A. Jayanthiladevi is a distinguished academic and researcher in Computer Science and Engineering, currently serving as a Professor at the Department of Computer Science and Engineering, BGSIT, Adichunchanagiri University, Karnataka, India. She has completed two Post-Doctoral Research Fellowships, one at the Center of Artificial Intelligence, Amity University Dubai, and another at Srinivas University under the mentorship of leading experts in artificial intelligence and enterprise systems. She holds a Ph.D. in Computer Applications from Anna University, where her doctoral work proposed an efficient spectrum utilization and retransmission rerouting mechanism in Mobile IP. Her academic background further includes advanced qualifications in intellectual property law and computer applications. Dr. Jayanthiladevi has extensive professional experience as Professor, Assistant Professor, Director of Post-Doctoral Fellowship Programmes, and collaborator for industry–academia research initiatives across various reputed institutions. Her research contributions span artificial intelligence, wireless networks, spectrum mobility, and cybersecurity. She has authored numerous publications with a citation count of 639 and 569 across platforms, an h-index of 13 and 12, and an i10-index of 15 and 14, reflecting her strong scholarly impact. With strong research leadership and collaborative expertise, she continues to contribute significantly to high-quality publications, patents, and international research advancements.

Profile: Google Scholar

Featured Publications

Priya, S. S., Sivaram, M., Yuvaraj, D., & Jayanthiladevi, A. (2020). Machine learning based DDoS detection. In 2020 International Conference on Emerging Smart Computing and Informatics.

Balamurugan, E., Flaih, L. R., Yuvaraj, D., Sangeetha, K., & Jayanthiladevi, A. (2019). Use case of artificial intelligence in machine learning manufacturing 4.0. In 2019 International Conference on Computational Intelligence and Knowledge.

Nagarajan, G., Minu, R. I., & Jayanthila Devi, A. (2020). Optimal nonparametric Bayesian model-based multimodal BoVW creation using multilayer pLSA. Circuits, Systems, and Signal Processing, 39(2), 1123–1132.

Nagarajan, G., Minu, R. I., & Jayanthiladevi, A. (2019). Brain computer interface for smart hardware device. International Journal of RF Technologies, 10(3–4), 131–139.

Jayanthiladevi, A., Raj, A. G., Narmadha, R., Chandran, S., Shaju, S., & Prasad, K. K. (2020). AI in video analysis, production and streaming delivery. Journal of Physics: Conference Series, 1712(1), 012014.

Sakthivel, K., Jayanthiladevi, A., & Kavitha, C. (2016). Automatic detection of lung cancer nodules by employing intelligent fuzzy c-means and support vector machine. Biomedical Research–India, 27, S123–S127.

Ranjeeth, S., Latchoumi, T. P., Sivaram, M., Jayanthiladevi, A., & Kumar, T. S. (2019). Predicting student performance with ANNQ3H: A case study in secondary education. In 2019 International Conference on Computational Intelligence and Knowledge.

Minu, R., Nagarajan, G., Suresh, A., & Devi, J. A. (2016). Cognitive computational semantic for high resolution image interpretation using artificial neural network. Biomedical Research–India, 27, S306–S309.

Mishra, P., Jimmy, L., Ogunmola, G. A., Phu, T. V., Jayanthiladevi, A., et al. (2020). Hydroponics cultivation using real time IoT measurement system. Journal of Physics: Conference Series, 1712(1), 012040.

Latchoumi, T. P., Vasanth, A. V., Bhavya, B., Viswanadapalli, A., & Jayanthiladevi, A. (2020). QoS parameters for comparison and performance evaluation of reactive protocols. In 2020 International Conference on Computational Intelligence for Smart Power.

Arunkarthikeyan, K., Balamurugan, K., Nithya, M., & Jayanthiladevi, A. (2019). Study on deep cryogenic treated-tempered WC–CO insert in turning of AISI 1040 steel. In 2019 International Conference on Computational Intelligence and Knowledge.

Sana Boudabbous | Clinical Neuroscience | Women Researcher Award

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Dr. Sana Boudabbous | Clinical Neuroscience | Women Researcher Award

Dr. Sana Boudabbous | University Hopssalitals of Geneva | Switzerland

Sana Boudabbous is a PD MD radiologist specializing in diagnostic and interventional musculoskeletal imaging, interventional radiology, and radiologic pain management, currently serving as Chief Head of the Musculoskeletal Radiology Unit and Chief of the MRI Sector in the Radiology Section of the Diagnosis Department at Geneva University Hospitals. She is also the Teaching Board Chief for postgraduate radiology education and the medical representative of the department within the Geneva University Hospitals pain network. As a Senior Lecturer at the University of Geneva, she has contributed extensively to academic teaching and clinical leadership. Her professional expertise includes membership on the Swiss National Sarcoma Advisory Board, involvement in the multidisciplinary spinal disease group at Geneva hospitals, and certified competencies in forensic age diagnostics and pain management. She has completed extensive advanced training in musculoskeletal radiology, interventional radiology, oncologic imaging, sports imaging, pelvic and breast imaging, and head and neck imaging across institutions in Switzerland, France, the Netherlands, and Tunisia. Her academic impact is reflected by a citation count of 1342, an h-index of 19, and an i10-index of 29, demonstrating her influential contributions to radiology research, education, and clinical practice.

Profile: Google Scholar

Featured Publications

Neroladaki, A., Botsikas, D., Boudabbous, S., Becker, C. D., & Montet, X. (2013). Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: Preliminary observations. European Radiology, 23(2), 360–366.

Mundada, P., Kohler, R., Boudabbous, S., Toutous Trellu, L., Platon, A., & Becker, C. D., et al. (2017). Injectable facial fillers: Imaging features, complications, and diagnostic pitfalls at MRI and PET CT. Insights into Imaging, 8(6), 557–572.

Boudabbous, S., Arditi, D., Paulin, E., Syrogiannopoulou, A., Becker, C., & Montet, X. (2015). Model-based iterative reconstruction (MBIR) for the reduction of metal artifacts on CT. American Journal of Roentgenology, 205(2), 380–385.

Botsikas, D., Triponez, F., Boudabbous, S., Hansen, C., Becker, C. D., & Montet, X. (2014). Incidental adrenal lesions detected on enhanced abdominal dual-energy CT: Can the diagnostic workup be shortened by the implementation of virtual unenhanced images? European Journal of Radiology, 83(10), 1746–1751.

Botsikas, D., Bagetakos, I., Picarra, M., Da Cunha Afonso Barisits, A. C., Boudabbous, S., & Montet, X., et al. (2019). What is the diagnostic performance of 18-FDG-PET/MR compared to PET/CT for the N- and M-staging of breast cancer? European Radiology, 29(4), 1787–1798.

Mundada, P., Becker, M., Lenoir, V., Stefanelli, S., Rougemont, A. L., Beaulieu, J. Y., … & Boudabbous, S. (2019). High resolution MRI of nail tumors and tumor-like conditions. European Journal of Radiology, 112, 93–105.

Delattre, B. M. A., Boudabbous, S., Hansen, C., Neroladaki, A., Hachulla, A. L., Becker, C. D., & Montet, X. (2020). Compressed sensing MRI of different organs: Ready for clinical daily practice? European Radiology, 30(1), 308–319.

Malinauskaite, I., Hofmeister, J., Burgermeister, S., Neroladaki, A., Hamard, M., Boudabbous, S., … & Montet, X. (2020). Radiomics and machine learning differentiate soft‐tissue lipoma and liposarcoma better than musculoskeletal radiologists. Sarcoma, 2020(1), Article 7163453.

Erfan Ghadirzadeh | Neuropharmacology | Young Researcher Award

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Dr. Erfan Ghadirzadeh | Neuropharmacology | Young Researcher Award

Dr. Erfan Ghadirzadeh | Mazandaran University of Medical Sciences | Iran

Erfan Ghadirzadeh is a Postdoctoral Researcher at Mazandaran University of Medical Sciences, where he integrates clinical training as a Medical Doctor with a substantial record of scientific contributions in neurosciences, neurology, and public health. With more than 60 research documents, 395 citations, and an H-index of 11, he has developed a strong academic presence supported by extensive interdisciplinary work. His research encompasses experimental neuropharmacology, neuroendocrinology, behavioral neuroscience, and neuropsychiatry, including investigations of neuroprotective agents in models of stroke and traumatic brain injury, hormonal and behavioral mechanisms underlying neurological disorders, and molecular pathways influencing addiction-related behaviors. Dr. Ghadirzadeh has published 51 journal articles indexed in SCI and Scopus, authored 9 books, and holds editorial appointments with PLOS One, Axia Journal of Addiction Medicine and Therapeutic Science, and Deep Science Publishing. His scientific output is strengthened by institutional collaborations through the Non-Communicable Diseases Research Institute and the Student Research Committee at Mazandaran University of Medical Sciences, enabling engagement with large, multi-specialist research teams. With 60 completed or ongoing research projects, he continues to contribute significantly to experimental and translational neuroscience, advancing clinical knowledge and supporting the development of evidence-based medical practices.

Profiles : Google Scholar |  Orcid

Featured Publications

Rezaei, M., Rahmani, E., Khouzani, S. J., Rahmannia, M., Ghadirzadeh, E., et al. (2023). Role of artificial intelligence in the diagnosis and treatment of diseases (Vol. 3, Issue 1, pp. 1–160). Kindle.

Rahmani, E., Rezaei, M., Tavakoli, R., Ghadirzadeh, E., Sarnaghy, F. J., et al. (2023). Role of regenerative medicine in the treatment of diseases (Vol. 3, Issue 1, pp. 1–184). Kindle.

Poudineh, M., Poudineh, S., Hosseini, Z., Pouramini, S., Fard, S. S., Fadavian, H., et al. (2023). Risk factors for the development of cancers (Vol. 3, Issue 1, pp. 1–118). Kindle.

Farrokhi, M., Taheri, F., Moeini, A., Farrokhi, M., Khouzani, P. J., Ghadirzadeh, E., et al. (2024). Artificial intelligence for drug development, personalized prescriptions, and adverse event prediction (Vol. 4, Issue 1, pp. 1–180). Kindle.

Farrokhi, M., Taheri, F., Bayat, Z., Damiri, M., Farrokhi, M., Ghadirzadeh, E., et al. (2024). Role of lifestyle medicine in the prevention and treatment of diseases. Amazon Kindle Direct Publishing.

Karimian, S., Taheri, F., Farrokhi, M., Farrokhi, M., Bayat, Z., Zadeh, S. A. M., et al. (2024). Digital health and wearable technologies (Vol. 4, Issue 1, pp. 1–240). Kindle.

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