Lei Zhang | Clinical Neuroscience | Research Excellence Award

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Prof. Lei Zhang | Clinical Neuroscience | Research Excellence Award

Prof. Lei Zhang | The First Affiliated Hospital of Wenzhou Medical University | China

Lei Zhang is a male Chinese orthopaedic surgeon and scientist, currently serving as Professor, Chief Director, and Master Supervisor in the Department of Orthopaedics at The First Affiliated Hospital of Wenzhou Medical University. He holds both M.D. and Ph.D. degrees from the School of Medicine, Zhejiang University, and specializes clinically in arthroplasty and sports medicine, with a scientific focus on tissue engineering for bone and cartilage repair. His international training includes fellowships at Graz University, Singapore General Hospital, WaldKrankenhaus Hospital in Bonn, Peking University Third Hospital, JST Hospital, and Ewha Womans University Seoul Hospital, reflecting broad exposure to advanced orthopaedic techniques and translational research. Professor Zhang is actively engaged in professional service, holding leadership and membership roles in multiple branches of the Zhejiang Medical Association and related orthopedic, sports medicine, and tissue repair societies. He also contributes to academic publishing as Chief Editor of special issues in Frontiers in Bioengineering and Biotechnology and as Associate Editor for the Injury Prevention and Rehabilitation specialty in Frontiers in Sports and Active Living. His scholarly output includes 89 published documents, with 4,362 total citations from 4,083 citing documents and an h-index of 28, demonstrating sustained impact in orthopaedics, sports medicine, and regenerative tissue engineering.

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Seyed MohamadMehdi Moshtaghion | Clinical Neuroscience | Research Excellence Award

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Dr. Seyed MohamadMehdi Moshtaghion | Clinical Neuroscience | Research Excellence Award

Dr. Seyed MohamadMehdi Moshtaghion | Cabimer | Spain

Seyed MohamadMehdi Moshtaghion, MD, MSc, is a physician-scientist and Senior Research Technologist specializing in advanced therapies and diagnostic biomarkers for retinal degenerative diseases, with a primary focus on retinitis pigmentosa and age-related macular degeneration. His research integrates molecular biology, stem cell–based strategies, gene therapy, and artificial intelligence–driven retinal imaging to advance early diagnosis and personalized treatment approaches for vision-threatening disorders. He holds a medical degree from Shahid Beheshti University and advanced postgraduate training in biomedical investigation and molecular biology and biomedicine from the University of Seville, along with certification in animal experimentation. Dr. Moshtaghion has conducted research at leading international institutions, including Massachusetts Eye and Ear at Harvard Medical School, Karolinska Institutet, and CABIMER, contributing to translational projects that bridge laboratory discoveries with clinical ophthalmology. He has authored over 20 peer-reviewed scientific publications, with a total of 183 citations, an h-index of 8, and an i10-index of 8, reflecting consistent scholarly impact in the fields of retinal biology and regenerative medicine. His work has been presented at major international conferences such as ARVO and EURETINA, highlighting innovative therapeutic strategies and biomarker discovery in retinal disease research.

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Featured Publications

Interpretable deep learning for diagnosis of fungal and acanthamoeba keratitis using in vivo confocal microscopy images
– M Essalat, M Abolhosseini, TH Le, SM Moshtaghion, MR Kanavi, Scientific Reports, 13(1): 8953, 2023

Penetrating keratoplasty versus deep anterior lamellar keratoplasty in children and adolescents with keratoconus
– S Feizi, MA Javadi, F Karimian, M Abolhosseini, SM Moshtaghion, American Journal of Ophthalmology, 226: 13–21, 2021

Impression cytology for detection of clinically suspected ocular surface disorders: a cross-sectional study
– SM Moshtaghion, M Abolhosseini, MR Kanavi, SB Hosseini, European Journal of Ophthalmology, 31(3): 943–950, 2021

Outcomes of big-bubble deep anterior lamellar keratoplasty for pediatric keratoconus
– S Feizi, MA Javadi, M Najafi, M Abolhosseini, SM Moshtaghion, International Ophthalmology, 40(5): 1253–1259, 2020

Adil el Housseini | Cellular Neuroscience | Best Researcher Award

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Mr. Adil el Housseini | Cellular Neuroscience | Best Researcher Award

Mr. Adil el Housseini | Ibn Zohr University Agadir Morocco | Morocco

Adil EL Housseini is a dedicated PhD candidate in biology at Ibn Zohr University, Faculty of Sciences of Agadir, specializing in toxicology, biochemistry, and the molecular characterization of scorpion venoms. His doctoral research explores the biochemical composition, ecotoxicity, and pathophysiological mechanisms of venoms from selected Buthid species, with a particular focus on developing novel therapeutic strategies for scorpion envenomation. Adil has contributed to the scientific community through peer-reviewed publications and authored book chapters spanning biomedical polymers, chitosan-based therapeutic applications, radioprotective biomaterials, and neurobiological insights into astrocyte function. His work on the kinetics of brain oxidative stress following scorpion envenomation highlights his strong command of experimental toxicology and neurobiochemical analysis. With an h-index of 1, two indexed documents, and two citations, he continues to build a research profile grounded in rigorous experimentation and interdisciplinary scientific inquiry. Adil’s skills include venom biochemistry, laboratory toxicology, data interpretation, and scientific writing, supported by strong language proficiency in Arabic, French, and English. His commitment to advancing knowledge in venom toxicology and biomedical sciences positions him as a promising emerging researcher contributing to both fundamental understanding and applied therapeutic innovation.

Profile: Google Scholar | Orcid

Featured Publications

Ait Hamdan, Y., Rhazi, M., El-Mansoury, B., Kabdy, H., Oukhrib, M., Ait Baba, A., … (2024). Astrocytes functions and their involvement in brain injury: A focus on the biomaterials’ role in mitigating traumatic brain injury. In Physiology and Function of Glial Cells in Health and Disease (pp. 145–163).

Mabsor-Zgandaoui, S., Rachmoune, K., Aftais, I., Elamrani, F. E., Amradi, I., … (2026). Biomedical polymers: Foundations and future innovations in medicine. In Biomedical Applications and Toxicity of Polymers, Nanoparticles

Ait Hamdan, Y., Armadi, I., Elamrani, F. E., Mekouar, M., El Housseini, A., … (2026). Therapeutic implications of chitosan and its derivatives: Focus on cancer treatment. In Biomedical Applications and Toxicity of Polymers, Nanoparticles

Rachmoune, K., Mabsor-Zgandaoui, S., El Housseini, A., Ait Hamdan, Y., … (2026). Radioprotective effects of chitosan polysaccharides and biomedical applications. In Biomedical Applications and Toxicity of Polymers, Nanoparticles

Armadi, I., Elouali, S., Abana, A., El Housseini, A., Loqman, S., & Belbachir, A. (2025). Overview of biomaterials classification, properties, and biomedical applications. In Innovations and Applications of Advanced Biomaterials in Healthcare 

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),

Zhi Li | Molecular and Cellular Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Zhi Li | Molecular and Cellular Neuroscience | Best Researcher Award

Assist. Prof. Dr. Zhi Li | Qinghai University | China

Zhi Li is a researcher specializing in cellular biology, infection and immunity, host–pathogen interactions, vector and vector-borne diseases, and zoonoses. His work focuses on understanding the molecular mechanisms underlying host responses to parasitic infections and the epidemiology of emerging infectious diseases in animals. As an Assistant Professor at Qinghai University, he has contributed significantly to research on parasitic pathogens affecting livestock and wildlife in the Qinghai-Tibetan Plateau region. His studies have explored infections caused by Echinococcus shiquicus, Theileria annulata, and various fluke species, emphasizing their identification, transmission dynamics, and host interactions. Through collaborations with national and international researchers, he has published in leading journals such as Transboundary and Emerging Diseases, Parasitology Research, Parasites & Vectors, and Acta Tropica. His research integrates molecular biology, immunological assays, and field epidemiology to develop improved diagnostic tools and better understand pathogen adaptation in diverse ecological settings. By linking laboratory findings with field observations, Zhi Li’s work contributes to controlling zoonotic and vector-borne diseases that threaten both animal and human health, aligning with the global “One Health” approach that connects veterinary and biomedical research for sustainable disease management.

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Li, Z., Han, Y., Liu, J.-L., Zhang, X.-Y., Shen, X., Guo, Z.-H., Yin, H., Duo, H., & Fu, Y. (2025). High diversity of Piroplasm species carried by ticks from Qinghai, China. Acta Tropica, 250, 107907.

Fu, Y., Zhang, X., Li, Z., Shi, Z., Ma, X., Meng, R., Zhang, Q., Zhao, C., Guo, S., Ma, W., et al. (2023, November 23). Emerging Echinococcus shiquicus infection of Asian badgers in the Qinghai–Tibetan Plateau. Transboundary and Emerging Diseases, 2023, 6874033.

Fu, Y., Zhang, X., Li, Z., Meng, R., Duo, H., Shen, X., Ma, Y., & Guo, Z. (2023, July). Identification and prevalence of fluke infection in yak and Tibetan sheep around Qinghai Lake, China. Parasitology Research.

Zhang, X., Jian, Y., Li, Z., Duo, H., Guo, Z., & Fu, Y. (2023, February 25). Optimization of single-tube nested PCR for the detection of Echinococcus spp. Experimental Parasitology, 246, 108358.

Liu, J., Zhao, S., Li, Z., Zhang, Z., Zhao, B., Guan, G., Yin, H., & Luo, J. (2023, February 23). Activation of telomerase activity and telomere elongation of host cells by Theileria annulata infection. Frontiers in Microbiology, 14, 1123456.

Hui Zhang | Clinical Neuroscience | Best Researcher Award

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Prof. Hui Zhang | Clinical Neuroscience | Best Researcher Award

Prof. Hui Zhang | Northwestern University | United States

Hui Zhang is a Professor in the Division of Biostatistics, Department of Preventive Medicine at Northwestern University Feinberg School of Medicine, where he also holds appointments at the Robert H. Lurie Comprehensive Cancer Center, the Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, and the Center for Epidemiology and Population Health. he serves as Director of the Northwestern Brain Tumor SPORE Biostatistics and Bioinformatics Core and leads the Biostatistics and Data Management Core at the Mesulam Center. With a Ph.D. in Statistics from the University of Rochester, her academic foundation spans pharmacology, neurophysiology, and biology, reflecting her interdisciplinary expertise in biostatistics and biomedical research. His previous experience includes research roles at St. Jude Children’s Research Hospital, where she contributed significantly to clinical and statistical protocol development. Professor Zhang’s work focuses on statistical methodologies for cancer and neurological disease research, data integration, and bioinformatics applications. he is an active member of several professional societies, including the American Statistical Association and the International Chinese Statistical Association. A highly cited researcher, she has accumulated over 11,422 citations, an h-index of 43, and an i10-index of 100, demonstrating her substantial impact and leadership in the fields of biostatistics and medical data science.

Profile: Google Scholar

Featured Publications

Moss, A. J., Hall, W. J., Cannom, D. S., Klein, H., Brown, M. W., Daubert, J. P., et al. (2009). Cardiac-resynchronization therapy for the prevention of heart-failure events. New England Journal of Medicine, 361(14), 1329–1338.

Gunzler, D., Chen, T., Wu, P., & Zhang, H. (2013). Introduction to mediation analysis with structural equation modeling. Shanghai Archives of Psychiatry, 25(6), 390–394.

Wan, T., Jun, H. U., Pan, W. U., & Hua, H. E. (2015). Kappa coefficient: A popular measure of rater agreement. Shanghai Archives of Psychiatry, 27(1), 62–67.

Pu, J., Wang, S., Yin, Y., Zhang, G., Carter, R. A., Wang, J., Xu, G., Sun, H., Wang, M., et al. (2015). Evolution of the H9N2 influenza genotype that facilitated the genesis of the novel H7N9 virus. Proceedings of the National Academy of Sciences, 112(2), 548–553.

Guy, C. S., Vignali, K. M., Temirov, J., Bettini, M. L., Overacre, A. E., Smeltzer, M., et al. (2013). Distinct TCR signaling pathways drive proliferation and cytokine production in T cells. Nature Immunology, 14(3), 262–270.

Shen, S., Chen, X., Cai, J., Yu, J., Gao, J., Hu, S., Zhai, X., Liang, C., Ju, X., Jiang, H., et al. (2020). Effect of dasatinib vs imatinib in the treatment of pediatric Philadelphia chromosome–positive acute lymphoblastic leukemia: A randomized clinical trial. JAMA Oncology, 6(3), 358–366.

Sonabend, A. M., Gould, A., Amidei, C., Ward, R., Schmidt, K. A., Zhang, D. Y., et al. (2023). Repeated blood–brain barrier opening with an implantable ultrasound device for delivery of albumin-bound paclitaxel in patients with recurrent glioblastoma: A phase 1 trial. The Lancet Oncology, 24(5), 509–522.

Carmen Berenguer | Behavioral Neuroscience | Women Researcher Award

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Assoc. Prof. Dr. Carmen Berenguer | Behavioral Neuroscience | Women Researcher Award

Assoc. Prof. Dr. Carmen Berenguer | Universitat de Valencia | Spain

Dr. Carmen Berenguer is an Associate Professor in the Department of Developmental and Educational Psychology at the University of Valencia. She holds a degree in Psychology, a Master’s in Cognitive Neuroscience and Special Educational Needs, and a Ph.D. in Psychology with the distinction of Cum Laude and International Doctorate from the same university. Her research has consistently focused on neurodevelopmental disorders, particularly Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), exploring cognitive, social, communication, and learning dimensions. In recent years, she has extended her work to examine comorbid conditions such as sleep difficulties and to design psychosocial intervention programs for families of children with ASD and ADHD. Dr. Berenguer has completed or participated in nine research projects and authored 20 books. She holds two patents related to psychosocial programs and augmented reality applications for educational and therapeutic purposes. With 54 published documents, her work has been cited in 994 scientific papers, accumulating a total of 1,077 citations and achieving an h-index of 17, reflecting her significant impact in developmental psychology and neurodevelopmental research.

Profiles: Scopus | orcid | Google Scholar

Featured Publications

(2025). Characteristics, motivations and attitudes of students using ChatGPT and other language model-based chatbots in higher education. Education and Information Technologies.

(2025). Parenting stress in autistic and ADHD children: Implications of social support and child characteristics. Journal of Autism and Developmental Disorders.

(2025). Sleep disturbances in autistic children and adolescents: A systematic review and meta-analysis of randomized controlled trials.

(2025). Augmented reality and learning-cognitive outcomes in autism spectrum disorder: A systematic review.

(2025). Occupational stress, burnout, and job satisfaction amongst Spanish speech-language pathologists. International Journal of Speech Language Pathology.

William Blumentals | Clinical Neuroscience | Excellence in Research Award

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Dr. William Blumentals | Clinical Neuroscience | Excellence in Research Award

Dr. William Blumentals | Sanofi | United States

Dr. William A. Blumentals is an accomplished epidemiologist and pharmaceutical executive recognized for his leadership in pharmacoepidemiology, real-world evidence generation, and global health outcomes research. He serves as Associate Vice President and Head of Specialty Care Pharmacoepidemiology at Sanofi in Cambridge, Massachusetts, where he oversees a multinational team of epidemiologists across the United States and Europe, driving innovation in inflammation, immunology, oncology, and rare disease research. With a Ph.D. in Epidemiology from the University of South Florida, along with advanced degrees in Statistics, Epidemiology, and Biology, Dr. Blumentals has held senior positions at leading organizations including Shire Pharmaceuticals, Shionogi Inc., and Hoffmann-La Roche. His expertise spans strategic development of large-scale observational studies, organizational leadership, and cross-functional collaboration to optimize evidence-based decision-making in healthcare. As a thought leader in real-world evidence and outcomes research, he has contributed significantly to advancing global epidemiological practices. Dr. Blumentals has authored 36 scientific documents, accumulated 1,594 citations from 1,463 documents, and holds an h-index of 23, reflecting his strong scientific influence and impact in epidemiology and pharmaceutical research.

Profile: Scopus

Featured Publications

Multiple sclerosis and the association with inflammatory bowel disease: Results from a retrospective cohort study. (2025). Multiple Sclerosis and Related Disorders.


Cytokine release syndrome risk model with T-cell engaging therapies. (2025). Cytotherapy.


Evaluating the accuracy of responses by large language models for information on disease epidemiology. (2025). Pharmacoepidemiology and Drug Safety.

Siphokazi Gatyeni | Systems Neuroscience | Best Researcher Award

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Dr. Siphokazi Gatyeni | Systems Neuroscience | Best Researcher Award

Dr. Siphokazi Gatyeni | University of Johannesburg | South Africa

Dr Siphokazi Princess Gatyeni is a Lecturer in the Department of Mathematics and Applied Mathematics at the University of Johannesburg, having progressed through roles as Assistant Lecturer and Marker. She earned her PhD in Applied Mathematics with a thesis on the long-term dynamics of COVID-19 in South Africa under the supervision of Prof Farai Nyabadza and Prof Faraimunashe Chirove. Prior to that she completed an MSc in Mathematics studying modelling of in- and out-patient rehabilitation for substance abuse, and an Honours in Biomathematics modelling substance abuse dynamics. Her research focuses on infectious-disease modelling (COVID-19, TB, malaria), optimal control theory and social behaviour in epidemic systems, with demonstrated expertise in MATLAB, Python, Mathematica, LaTeX, R-Studio, Excel and SPSS. According to Google Scholar she has been cited 41 times. Her h-index is currently not publicly listed on that profile but the citation count reflects an active early-career research trajectory. Her work includes recent journal articles on meningitis transmission and the impact of vaccination strategies, as well as modelling the effects of stigma on COVID-19 transmission. In the classroom she emphasises real-world applications and technology-assisted instruction, teaching courses from Engineering Mathematics through Numerical Analysis and Special Topics, and is committed to mentoring postgraduate students in interdisciplinary mathematical modelling.

Profile: orcid

Featured Publications

Gatyeni, S. P. (2025). Mathematical modeling of meningitis transmission dynamics and the impact of vaccination strategies. Scientific African, e03048.

Mbalilo, V. M., Nyabadza, F., & Gatyeni, S. P. (2025). Modelling the potential impact of TB-funded prevention programs on the transmission dynamics of TB. Infectious Disease Modelling.

Gatyeni, S. P., Chirove, F., & Nyabadza, F. (2022). Modelling the potential impact of stigma on the transmission dynamics of COVID-19 in South Africa. Mathematics, 10(18), 3253.

Gatyeni, S. P. (2022). Application of optimal control to the dynamics of COVID-19 disease in South Africa. Scientific African, e01268.

Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

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Dr. Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

Dr. Seyyed Ali | Zendehbad University of Mazandaran | Iran

Dr. Seyyed Ali Zendehbad is a multidisciplinary researcher specializing in biomedical signal processing, cognitive computational neuroscience, and neurorehabilitation technologies. His research integrates deep learning, pattern recognition, and multimodal biological data modeling to enhance fatigue detection and neurorehabilitation systems. He has authored several peer-reviewed papers in reputable journals such as Scientific Reports, IEEE Access, Sensing and Bio-Sensing Research, and Healthcare Technology Letters, focusing on hybrid AI frameworks, EMG signal processing, and muscle synergy-based biofeedback mechanisms. Dr. Zendehbad’s work on developing intelligent rehabilitation systems, including his models like TraxVBF and FatigueNet, contributes to advancing telemonitoring and assistive technologies for neurological recovery. His scholarly output includes more than 25 documents, over 600 citations, and an h-index of 12, reflecting his growing impact in computational neuroscience and biomedical engineering. Recognized for innovation, he has achieved first-place awards in multiple national startup competitions and was honored with the Best Poster Award at the Congress of Neurology and Clinical Electrophysiology of Iran. As a postdoctoral researcher at the University of Mazandaran, his ongoing work emphasizes integrating trustworthy AI into telehealth systems, promoting equitable and efficient digital healthcare delivery through interdisciplinary research and technological innovation.

Profile: Orcid

Featured Publications

1. Mazrooei Rad, E., Mazinani, S. M., & Zendehbad, S. A. (2025). Diagnosis of Alzheimer’s disease using non-linear features of ERP signals through a hybrid attention-based CNN-LSTM model. Computer Methods and Programs in Biomedicine Update, 5, 100192.

2. Zendehbad, S. A., Sharifi Razavi, A., Tabrizi, N., & Sedaghat, Z. (2025). A systematic review of artificial intelligence techniques based on electroencephalography analysis in the diagnosis of epilepsy disorders: A clinical perspective. Epilepsy Research, 207, 107582.

3. Mazrooei Rad, E., Zendehbad, S. A., & Hosseinzadeh, V. (2025). Fetal QRS complex detection based on adaptive filters and peak detection. Research on Biomedical Engineering, 41(3), 424–438.

4. Zendehbad, S. A., Ghasemi, J., & Samsami Khodadad, F. (2025). FatigueNet: A hybrid graph neural network and transformer framework for real-time multimodal fatigue detection. Scientific Reports, 15(1), 640.

5. Safdel, A., Zendehbad, S. A., & Ghasemi, J. (2025). Advanced deep learning approaches for accurate and efficient suspicious behavior detection in surveillance videos. Computational Sciences and Engineering, 21(2), 1099.