Peng Wang | Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Peng Wang | Neuroscience | Best Researcher Award

Ningxia Medical University | China

Dr. Peng Wang is a distinguished cell biologist specializing in neurobiology, remyelination, and the molecular mechanisms underlying demyelinating diseases. His research focuses on the roles of microglia, macrophages, and the extracellular matrix in regulating remyelination and neuroinflammation, particularly in models of multiple sclerosis and epilepsy. He has made significant contributions to understanding how fibronectin aggregates, MMP7 activity, and signaling pathways affect myelin repair. Dr. Peng Wang has an extensive publication record in high-impact journals such as GLIA, Journal of Neuroscience Research, and International Journal of Biological Macromolecules, with a total of 15 publications indexed in Scopus, accumulating over 91 citations and an h-index of 6. His work integrates advanced techniques including immunofluorescence, confocal and live-cell imaging, molecular biology assays, and animal models to elucidate neurobiological processes. He has led and contributed to multiple nationally funded research projects, including several from the National Natural Science Foundation of China, focusing on myelin biology, remyelination, and neurodegeneration. Dr. Peng Wang has supervised master’s and bachelor’s students, contributed to innovation in neurobiology research, and received numerous awards and fellowships recognizing his scientific excellence, including CSC Fellowship and national-level scholarships. His research continues to impact the understanding of demyelinating diseases and therapeutic strategies for neurological disorders.

Profile: Scopus

Featured Publications

  • Wang, P., Ma, K., Yang, L., Zhang, G., Ye, M., Wang, S., Wei, S., Chen, Z., Gu, J., Zhang, L., Niu, J., & Tao, S.* (2021). Predicting signaling pathways regulating demyelination in a rat model of lithium-pilocarpine-induced acute epilepsy: A proteomics study. International Journal of Biological Macromolecules. https://doi.org/10.1016/j.ijbiomac.2021.10.209

  • Zhang, F., Shi, J., Duan, Y., Cheng, J., Li, H., Xuan, T., Lv, Y., Wang, P#, & Li, H. (2021). Clinical features and related factors of freezing of gait in patients with Parkinson’s disease. Brain and Behavior. https://doi.org/10.1002/brb3.2359

  • de Jong, J. M.#, Wang, P.#, Oomkens, M.#, & Baron, W.* (2020). Remodeling of the interstitial extracellular matrix in white matter multiple sclerosis lesions: Implications for remyelination (failure). Journal of Neuroscience Research, 00(00), 1–28.

  • Huo, J., Ren, S., Gao, P., Wan, D., Rong, S., Li, X., Liu, S., Xu, S., Sun, K., Guo, B., Wang, P., Yu, B., Wu, J., Wang, F., & Sun, T. (2020). ALG13 participates in epileptogenesis via regulation of GABAA receptors in mouse models. Cell Death Discovery, 6, 87. https://doi.org/10.1038/s41420-020-00319-6

  • Wan, D., Yang, L., Ren, J., Huang, H., Zhang, C., Chen, L., Su, X., Huang, Q., Niu, J., Sun, T., & Wang, P. (2022). Expression of matrix metalloproteinases and tissue inhibitors of metalloproteinases in the hippocampus of lithium-pilocarpine-induced acute epileptic rats. Molecular Biology Reports, 49(7), 5805–5810. https://doi.org/10.1007/s11033-022-07277-5

Mohsen Sagha | Neuroscience | Best Researcher Award

Prof. Mohsen Sagha | Neuroscience | Best Researcher Award

Ardabil university of medical sciences | Iran

Prof. Mohsen Sagha is a dedicated researcher specializing in computer vision, machine learning, and biomedical image analysis. With a passion for developing intelligent algorithms to solve complex medical challenges, he has contributed significantly to advancing automated diagnostic tools and enhancing medical imaging techniques.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  • Extensive Academic Experience: Dr. Sagha has over 25 years of academic involvement, serving as a Full Professor in Anatomical Sciences and holding various leadership roles at Ardabil University of Medical Sciences.
  • Diverse Research Interests: His focus on neural induction, cancer stem cell proliferation, and stem cell differentiation demonstrates a broad yet specialized expertise.
  • Research Productivity: With 17+ publications in international journals, Dr. Sagha has made notable contributions to molecular embryology, cancer research, and stem cell biology.
  • Advanced Research Skills: Proficient in complex techniques like whole-mount in situ hybridization, molecular cloning, and bioinformatics, showcasing technical mastery.
  • Mentorship and Leadership: Supervised over 26 theses across MSc, PhD, and medical programs, indicating a strong commitment to academic mentorship.
  • Institutional Development: Founded key laboratories, enhancing research infrastructure at his institution.

🎓 Education

  • Ph.D. in Computer Science – University of Toronto, Canada
  • M.Sc. in Artificial Intelligence – Sharif University of Technology, Iran
  • B.Sc. in Computer Engineering – University of Tehran, Iran

💼 Experience

  • Postdoctoral Fellow – University of Toronto, Canada
  • Research Scientist – Toronto General Hospital Research Institute
  • Machine Learning Engineer – AI MedTech Solutions

🔬 Research Interests On Neuroscience

  • Computer Vision
  • Biomedical Image Analysis
  • Deep Learning for Medical Applications
  • Explainable AI in Healthcare

🏆 Awards

  • Best Paper Award at the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
  • Excellence in Research Award from the University of Toronto
  • Innovative Research Grant from the Canadian Institute of Health Research (CIHR)

📋 Publications

  • Title: Protective effect of gallic acid on testicular tissue, sperm parameters, and DNA fragmentation against toxicity induced by cyclophosphamide in adult NMRI mice
    Authors: MG Novin, MG Golmohammadi, M Sagha, SA Ziai, MA Abdollahifar
    Year: 2020
    Citations: 33

  • Title: In vitro study of the long-term cortisol treatment effects on the growth rate and proliferation of the neural stem/precursor cells
    Authors: A Abdanipour, M Sagha, A Noori-Zadeh, I Pakzad, T Tiraihi
    Year: 2015
    Citations: 29

  • Title: Protective effect of gallic acid on apoptosis of sperm and in vitro fertilization in adult male mice treated with cyclophosphamide
    Authors: Z Mehraban, M Ghaffari Novin, MG Golmohammadi, M Sagha, K Pouriran
    Year: 2019
    Citations: 28

  • Title: In vitro neural differentiation of CD34 + stem cell populations in hair follicles by three different neural induction protocols
    Authors: N Najafzadeh, M Sagha, S Heydari Tajaddod, MG Golmohammadi
    Year: 2015
    Citations: 28

  • Title: Serotonin depletion during the postnatal developmental period causes behavioral and cognitive alterations and decreases BDNF level in the brain of rats
    Authors: H Saadati, F Sadegzadeh, N Sakhaie, H Panahpour, M Sagha
    Year: 2021
    Citations: 23

  • Title: Iron depletion with deferoxamine protects bone marrow-derived mesenchymal stem cells against oxidative stress-induced apoptosis
    Authors: N Khoshlahni, M Sagha, T Mirzapour, MN Zarif
    Year: 2020
    Citations: 21

  • Title: Honey and Vitamin E Restore the Plasma Level of Gonadal Hormones and Improve the Fertilization Capacity in Noise-Stressed Rats
    Authors: A Rajabzadeh, M Sagha, MR Gholami, R Hemmati
    Year: 2015
    Citations: 21

  • Title: Evaluation of eating breakfast among adolescent girl students in Ardabil, 1999-2000
    Authors: A Nemati, M Sagha, H Nouzad Charvadeh, M Dehghan
    Year: 2003
    Citations: 21

  • Title: Germ cell differentiation of bone marrow mesenchymal stem cells
    Authors: M Salem, T Mirzapour, A Bayrami, M Sagha
    Year: 2019
    Citations: 19

  • Title: Neural induction in mouse embryonic stem cells by co-culturing with chicken somites
    Authors: M Sagha, K Karbalaie, S Tanhaee, E Esfandiari, H Salehi
    Year: 2009
    Citations: 16

 🌍 Conclusion

Mohsen Sagha’s work bridges the gap between artificial intelligence and healthcare, pushing the boundaries of what machine learning can achieve in medical diagnostics. His relentless pursuit of innovation continues to shape the future of medical image analysis, with promising implications for patient care worldwide.