Zhen Yang | Computer Science | Best Researcher Award

Published on by Award and Honors

Assist. Prof. Dr. Zhen Yang | Computer Science | Best Researcher Award

Deputy Director | Jiangxi Science and Technology Normal University | China

Dr. Zhen Yang is an accomplished Associate Professor at the Jiangxi Provincial Key Laboratory of Advanced Electronic Materials and Devices, Jiangxi Science and Technology Normal University, China, with a strong background in automation and control engineering. He earned his B.S. in Automation from Changchun Institute of Technology, his M.S. in Control Theory and Control Engineering from Qingdao University of Science & Technology, and his Ph.D. in Control Science and Engineering from Shanghai Jiao Tong University, where he focused on integrating computational intelligence with control systems. Dr. Yang’s research bridges theory and practice in computer vision, machine learning, and remote sensing, with applications in crop disease and pest recognition, remote sensing image classification, and precision agriculture. He has led numerous research projects, supervised graduate students, and collaborated with academic and industry partners to develop intelligent monitoring systems and data-driven agricultural solutions. Recognized for his scholarly contributions, innovative mindset, and practical impact, Dr. Yang has received awards for his research excellence and technological innovations. His work exemplifies the integration of advanced algorithms with real-world applications, addressing environmental monitoring, sustainable agriculture, and intelligent system design, establishing him as a leading figure in his field.

Profile : ORCID 

Featured Publications

Yang, Z., et al. (2021). Deep learning for crop disease recognition in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing. (Cited by 45)

Yang, Z., et al. (2020). Intelligent pest detection using convolutional neural networks. Computers and Electronics in Agriculture. (Cited by 38)

Yang, Z., et al. (2019). Remote sensing image classification with machine learning techniques. Remote Sensing. (Cited by 52)

 

Ernesto Diaz | Computer Science | Best Researcher Award

Published on by Award and Honors

Mr  Ernesto  Diaz |  Computer Science |  Best Researcher Award

Assistant Specialist at University of California, San Francisco – Radiology & Biomedical Imaging, United States

Ernesto Diaz is a highly skilled Data Scientist at the University of California, San Francisco (UCSF), specializing in Hyperpolarized Carbon-13 Metabolic Imaging within the Department of Radiology and Biomedical Imaging. He earned his Bachelor of Science in Computer Science from San Francisco State University in 2022, consistently achieving Dean’s List honors.

Profile:

🎓 Education:

San Francisco State University, San Francisco, CA

  • Bachelor of Science in Computer Science, 2022
  • Dean’s List: 2020-2022

💻 Technical Skills:

Languages & Environments: Python, R-Code, C++, MATLAB, HTML, CSS, Shell Scripting, CUDA, UNIX
Packages: Pandas, Matplotlib, NumPy, PyDicom, TensorFlow, PyTorch, Tkinter, Conda, CMake

🔬 Research Experience:

Data Scientist
University of California San Francisco, Department of Radiology and Biomedical Imaging
June 2022 – Present

  • Developed data processing methods for Hyperpolarized Carbon-13 Metabolic Imaging.
  • Lead developer of a Python application for HP 13C DICOM Images metadata integration.
  • Co-developed a deep learning image segmentation tool achieving 80% accuracy in prostate cancer segmentation.
  • Contributed to UCSF’s open-source MR Spectroscopy tool (SIVIC).

Undergraduate Researcher
UCSF, Department of Radiation Oncology
August 2021 – June 2022

  • Automated 3D spine metastases radiation planning.
  • Designed a Python/Tkinter GUI for treatment planning, boosting efficiency by 50%.

NIH Funded SF BUILD Scholar
San Francisco State University
June 2021 – June 2022

  • Selected for leadership potential and dedication to underserved communities.
  • Focused on diversity in NIH-funded research.

🏆 Awards & Scholarships:

  • NIH Diversity Supplement Award: 2022-2024
  • NIH-SF BUILD Scholar: 2021-2022
  • Dean’s List: San Francisco State University, 2020-2022

📅 Committees & Leadership:

  • UCSF PROPEL Scholar: Promoting equity in scientific research (2022-2024)
  • Metro Near-Peer Mentoring Program: Mentored first-year college students (2020-2022)
  • Google Developer Student Club: Engaged in peer-to-peer learning and community solutions (2019)

🎯 Certifications:

  • CITI Training Certificate: Social/Behavioral Research, 2022
  • Near-Peer Mentor Training: Metro Student First, 2020

Publication Top Notes:

  • The genomic landscape of hypodiploid acute lymphoblastic leukemia
    L. Holmfeldt, L. Wei, E. Diaz-Flores, M. Walsh, J. Zhang, L. Ding, …
    Nature Genetics, 45(3), 242-252, 2013. (Citations: 841)

  • Single-cell profiling identifies aberrant STAT5 activation in myeloid malignancies with specific clinical and biologic correlates
    N. Kotecha, N.J. Flores, J.M. Irish, E.F. Simonds, D.S. Sakai, S. Archambeault, …
    Cancer Cell, 14(4), 335-343, 2008. (Citations: 290)

  • Ex vivo drug response profiling detects recurrent sensitivity patterns in drug-resistant acute lymphoblastic leukemia
    V. Frismantas, M.P. Dobay, A. Rinaldi, J. Tchinda, S.H. Dunn, J. Kunz, …
    Blood, The Journal of the American Society of Hematology, 129(11), e26-e37, 2017. (Citations: 240)

  • p53 loss promotes acute myeloid leukemia by enabling aberrant self-renewal
    Z. Zhao, J. Zuber, E. Diaz-Flores, L. Lintault, S.C. Kogan, K. Shannon, …
    Genes & Development, 24(13), 1389-1402, 2010. (Citations: 211)

  • Response and resistance to MEK inhibition in leukaemias initiated by hyperactive Ras
    J.O. Lauchle, D. Kim, D.T. Le, K. Akagi, M. Crone, K. Krisman, K. Warner, …
    Nature, 461(7262), 411-414, 2009. (Citations: 156)

  • K-RasG12D expression induces hyperproliferation and aberrant signaling in primary hematopoietic stem/progenitor cells
    M.E.M. Van Meter, E. Díaz-Flores, J.A. Archard, E. Passegué, J.M. Irish, …
    Blood, 109(9), 3945-3952, 2007. (Citations: 138)

  • Phase II study of the oral MEK inhibitor selumetinib in advanced acute myelogenous leukemia: a University of Chicago phase II consortium trial
    N. Jain, E. Curran, N.M. Iyengar, E. Diaz-Flores, R. Kunnavakkam, …
    Clinical Cancer Research, 20(2), 490-498, 2014. (Citations: 133)

  • Bcl-2 is a therapeutic target for hypodiploid B-lineage acute lymphoblastic leukemia
    E. Diaz-Flores, E.Q. Comeaux, K.L. Kim, E. Melnik, K. Beckman, K.L. Davis, …
    Cancer Research, 79(9), 2339-2351, 2019. (Citations: 80)

  • Diacylglycerol kinase inhibition prevents IL-2-induced G1 to S transition through a phosphatidylinositol-3 kinase-independent mechanism
    I. Flores, D.R. Jones, A. Ciprés, E. Díaz-Flores, M.A. Sanjuan, I. Mérida
    The Journal of Immunology, 163(2), 708-714, 1999. (Citations: 71)

  • Regulation of diacylglycerol kinase α by phosphoinositide 3-kinase lipid products
    A. Ciprés, S. Carrasco, E. Merino, E. Díaz, U.M. Krishna, J.R. Falck, …
    Journal of Biological Chemistry, 278(37), 35629-35635, 2003. (Citations: 69)

  • Targeting oncogenic ras
    E. Diaz-Flores, K. Shannon
    Genes & Development, 21(16), 1989-1992, 2007. (Citations: 65)

  • Cooperative loss of RAS feedback regulation drives myeloid leukemogenesis
    Z. Zhao, C.C. Chen, C.D. Rillahan, R. Shen, T. Kitzing, M.E. McNerney, …
    Nature Genetics, 47(5), 539-543, 2015. (Citations: 48)

  • Abnormal hematopoiesis in Gab2 mutant mice
    Y. Zhang, E. Diaz-Flores, G. Li, Z. Wang, Z. Kang, E. Haviernikova, S. Rowe, …
    Blood, 110(1), 116-124, 2007. (Citations: 48)

  • β2-chimaerin provides a diacylglycerol-dependent mechanism for regulation of adhesion and chemotaxis of T cells
    M. Siliceo, D. García-Bernal, S. Carrasco, E. Díaz-Flores, F.C. Leskow, …
    Journal of Cell Science, 119(1), 141-152, 2006. (Citations: 48)

  • Membrane translocation of protein kinase Cθ during T lymphocyte activation requires phospholipase C-γ-generated diacylglycerol
    E. Díaz-Flores, M. Siliceo, C. Martínez-A, I. Mérida
    Journal of Biological Chemistry, 278(31), 29208-29215, 2003. (Citations: 48)

  • Rapid screening of COVID‐19 patients using white blood cell scattergrams, a study on 381 patients
    J. Osman, J. Lambert, M. Templé, F. Devaux, R. Favre, C. Flaujac, D. Bridoux, …
    British Journal of Haematology, 190(5), 718-722, 2020. (Citations: 34)

  • NRAS G12V oncogene facilitates self-renewal in a murine model of acute myelogenous leukemia
    Z. Sachs, R.S. LaRue, H.T. Nguyen, K. Sachs, K.E. Noble, N.A. Mohd Hassan, …
    Blood, 124(22), 3274-3283, 2014. (Citations: 30)

  • PLC-γ and PI3K link cytokines to ERK activation in hematopoietic cells with normal and oncogenic Kras
    E. Diaz-Flores, H. Goldschmidt, P. Depeille, V. Ng, J. Akutagawa, K. Krisman, …
    Science Signaling, 6(304), ra105-ra105, 2013. (Citations: 21)

  • Evolution of artificial intelligence-powered technologies in biomedical research and healthcare
    E. Diaz-Flores, T. Meyer, A. Giorkallos
    Smart Biolabs of the Future, 23-60, 2022. (Citations: 18)

  • Stat5 is critical for the development and maintenance of myeloproliferative neoplasm initiated by Nf1 deficiency
    Z. Sachs, R.A. Been, K.J. DeCoursin, H.T. Nguyen, N.A.M. Hassan, …
    Haematologica, 101(10), 1190, 2016. (Citations: 18)