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Dr.Fahim Abdullah| Model predictive control Award | Best Researcher Award

Dr.Fahim Abdullah ,University of California, Los Angeles, United States

Dr. Fahim Abdullah is a distinguished scholar and educator at the University of California, Los Angeles (UCLA), in the United States. Specializing in [insert field of expertise], Dr. Abdullah’s research explores [brief description of research interests]. With a passion for both teaching and research, he is committed to fostering academic excellence and innovation in his students while contributing valuable insights to his field. Dr. Abdullah’s work has been widely recognized for its impact and relevance, earning him [mention any notable awards or honors]. As a dedicated member of the academic community, he actively engages in collaborative projects and initiatives that advance knowledge and address pressing societal challenges. Dr. Abdullah’s expertise, leadership, and dedication make him an invaluable asset to UCLA and the broader academic community.

Professional Profiles:

google scolar

Education:

  • University of California, Los Angeles Ph.D. in Chemical Engineering, Sep 2019–Nov 2023
    • Advisor: Professor Panagiotis D. Christofides
    • Dissertation: Sparse Identification-Based Modeling and Predictive Control of Nonlinear Processes
    • Developed innovative methodologies for modeling and controlling nonlinear systems with time-scale multiplicity
    • Conducted research on overcoming challenges of high sensor noise in data sets
    • Contributed to process simulation and cybersecure control architectures

    University of Alberta, Canada B.S. in Chemical Engineering, Sep 2014–Apr 2018

    • Concentration: Chemical Process Control
    • Graduated with a GPA of 4.0, Ranking: 1/169

    Professional Experience:

  • Professional Experience

    University of California, Los Angeles Postdoctoral Researcher, Chemical & Biomolecular Engineering Department

    • Conducting research in the field of chemical engineering
    • Contributing to ongoing projects and collaborations
    • Sep 2019–Present

    University of California, Los Angeles Graduate Student Researcher and Teaching Assistant, Chemical & Biomolecular Engineering DepartmentIntel, Corporation, Santa Clara, CA Global Cybersecurity Policy Trade Analyst InternABC Group Product Development, Canada Production Support Team Member for Automotive Parts ProductionBangladesh International School, Saudi Arabia High School Mathematics TeacherProvided instruction in mathematics to high school students,Developed and implemented lesson plansSupported production activities and ensured product quality,Collaborated with cross-functional teams to meet production targetsEngaged in analyzing cybersecurity policies and trade regulations,Acquired practical experience in global cybersecurity practicesAssisted in teaching Chemical Engineering coursesConducted research under the supervision of Professor Panagiotis D. ChristofidesSep 2019–Nov 2023

Research Experience:

  • University of California, Los Angeles Graduate Student Researcher
    • Topic: Sparse Identification-Based Modeling and Predictive Control of Nonlinear Processes
    • Date: Sep 2019–Present

    University of Alberta, Canada Undergraduate Student Researcher

    • Topics: Complex Geometry Modeling, Hemoglobin Modeling, Process Control, Mineral Processing, Bitumen Upgrading
    • Date: Sep 2013–Apr 2019

Professional Memberships:

Active member contributing to the field of chemical engineering

Publications:

  1. Alhajeri, M. S., Y. M. Ren, F. Ou, F. Abdullah, and P. D. Christofides, “Model Predictive Control of Nonlinear Processes Using Transfer Learning-Based Recurrent Neural Networks,” Chem. Eng. Res. & Des., in press.
  2. Kadakia, Y., F. Abdullah, A. Alnajdi, and P. D. Christofides, “Encrypted Distributed Model Predictive Control of Nonlinear Processes,” Contr. Eng. Pract., 145, 105874, 2024.
  3. C¸ıtmacı, B., X. Cui, F. Abdullah, D. Peters, Y. Wang, E. Hsu, P. Chheda, C. G. Morales-Guio, and P. D. Christofides, “Model Predictive Control of an Electrically-Heated Steam Methane Reformer,” Dig. Chem. Eng., 10, 100138, 2024.
  4. Ou, F., F. Abdullah, H. Wang, M. Tom, G. Orkoulas, and P. D. Christofides, “Sparse Identification Modeling and Predictive Control of Wafer Temperature in an Atomic Layer Etching Reactor,” Chem. Eng. Res. & Des., 202, 1-11, 2024.
  5. Kadakia, Y., A. Alnajdi, F. Abdullah, and P. D. Christofides, “Encrypted Distributed Model Predictive Control with State Estimation for Nonlinear Processes,” Dig. Chem. Eng., 9, 100133, 2023.
  6. Kadakia, Y., A. Alnajdi, F. Abdullah, and P. D. Christofides, “Encrypted Decentralized Model Predictive Control of Nonlinear Processes with Delays,” Chem. Eng. Res. & Des., 200, 312–324, 2023.
  7. Kadakia, Y., A. Suryavanshi, A. Alnajdi, F. Abdullah, and P. D. Christofides, “Integrating Machine Learning Detection and Encrypted Control for Enhanced Cybersecurity of Nonlinear Processes,” Comp. & Chem. Eng., 180, 108498, 2024.
  8. Luo, J., B. C ¸ıtmacı, J. B. Jang, F. Abdullah, C. G. Morales-Guio, and P. D. Christofides, “Machine Learning-Based Predictive Control Using On-line Model Linearization: Application to an Experimental Electrochemical Reactor,” Chem. Eng. Res. & Des., 197, 721–737, 2023.
  9. Abdullah, F. and P. D. Christofides, “Real-Time Adaptive Sparse-Identification-Based Predictive Control of Nonlinear Processes,” Chem. Eng. Res. & Des., 196, 750–769, 2023.
  10. Kadakia, Y., A. Suryavanshi, A. Alnajdi, F. Abdullah, and P. D. Christofides, “Encrypted Model Predictive Control of a Nonlinear Chemical Process Network,” Processes, 11 (8), 2501, 2023.
Fahim Abdullah| Model predictive control Award | Best Researcher Award

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