Bedan Khanal| Transportation Engineering Award | Best Scholar Award

Mr.Bedan Khanal| Transportation Engineering Award | Best Scholar Award

Mr.Bedan Khanal,Wayne State University,  United States

Bedan Khanal is an esteemed faculty member at Wayne State University in the United States. Holding expertise in [mention relevant field or specialization], Khanal has made significant contributions to academia through research, teaching, and mentorship. With a passion for [mention specific interests or areas of focus], Khanal is dedicated to advancing knowledge and fostering intellectual curiosity among students and peers.

 

Professional Profiles:

Google scolar

Orcid

Education:

Wayne State University | Detroit, MI, USA,Ph.D. Candidate in Civil Engineering (Ph.D. in CE) | Transportation Engineering,Faculty Supervisor: Dr. Steven M. Lavrenz,Committee Members: Dr. Stephen Remias, Dr. Christopher Eamon, Dr. Xiaodong Qian,Expected Graduation: August 2024,Proposed Dissertation Title: “Novel Approach for Transportation Data Analysis: An Integrated Study Using Crash, Crash Surrogates, and Intelligent Transportation Systems Application”,Wayne State University | Detroit, MI, USA,Graduation: May 2021,Faculty Supervisor: Dr. Steven M. Lavrenz,Committee Members: Dr. Stephen Remias, Dr. Tierra Bills,Thesis Title: “Surrogate Measures of Road Safety: A Cross-Sectional Analysis with Traditional Risk Factors and Operating Characteristics at Signalized Intersections”Jain University | Bangalore, Karnataka, India,Bachelor of Technology in Civil Engineering (B. Tech CE) | Civil Engineering,Graduation: July 2018,Thesis Advisor: Prof. Dimple Bahri,Thesis Title: “Comparative Study on Structural Behavior and Effects of Thermal Treatment on Conventional Concrete and Glass Fiber Reinforced Concrete”

 

Professional Experience:

Graduate Research Assistant (GRA) | Transportation Research Lab (TRL)- WSU | August 2019- Present,Visiting Instructor| CE 4850 Engineering Economics

Honors, Awards, and Scholarships:

2024 MI ITE Student Paper Award,2023-24 Datta Endowment Award,2023 Graduate Research Symposium second-best poster presentation,2022-23 Global Experiences Endowed Award,2022-23 Graduate Student Professional Travel Award,2021 ITE Student Paper Award,2014-2018 COMPEX SCHOLARSHIP,2012 Best 3 Outgoing Students

Organizations:

NCEES | Engineer in Training (EIT/FE),Institute of Transportation Engineers (ITE) | Student Member,Nepal Engineering Council (NEC) | Registered General Civil Engineer

Primary Research and Projects Conducted:

Ph.D. Dissertation work,Research on the safety of highway-rail grade crossing (HRGC),Study on the application of surrogate safety measures,Research on Glass fiber reinforced concrete,Extensive Survey at Melukote Village, India

Publications:

  1. Khanal, B., A. Zahertar, and Lavrenz, S.M. “Heterogeneity in Crash Data: A Cross Comparison between Ordered Probability Model and Its Variant Using Crashes at Suburban Type Arterial.” Accident Analysis & Prevention, Vol. 200, 2024, p.107524. [DOI: 10.1016/j.aap.2024.107524]
  2. Khanal, B., Lavrenz, S.M. “Safety Assessment of Suburban Type Arterial Roadways: New Findings Using Heterogeneity Models.” Transportation Research Record, 2024 (TRBAM 2022 Conference Presentation, and Paper in print)
  3. Das, S., Warner, J., Lavrenz, S., Khanal, B., “Texas A&M Transportation Institute, 2023. Safety Enhancements at Short-Storage-Space Railroad Crossings” (No. SPR-1721). [URL: https://rosap.ntl.bts.gov/view/dot/66941]
  4. Khanal, B. “Surrogate Measures of Road Safety: A Cross-Sectional Analysis with Traditional Risk Factors and Operating Characteristics at Signalized Intersections” (M.S. Thesis). Wayne State University, United States – Michigan, 2021. (Online Link available)
  5. Bahri, D., Khanal, B., Shahi, BJ., Neupane, P., Poudel, R. “Comparative Study on Structural Behavior of Thermally Treated Conventional Concrete and Glass Fibre Reinforced Concrete.” Journal of Xidian University, Vol. 15, Issue 8, p.334-343.

Fahim Abdullah| Model predictive control Award | Best Researcher Award

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.