Babar Shah | Aerodynamics | Best Researcher Award

Mr. Babar Shah | Aerodynamics | Best Researcher Award

Mr. Babar Shah, International Islamic University, Pakistan

Mr. Babar Shah, currently serving as Vice-Principal at Riphah International College, is a dedicated educator and researcher based in Pakistan. With a Ph.D. in progress at the International Islamic University Islamabad, his focus lies in “Heat Transfer Analysis of Non-Similar Axisymmetric Flows.” As a lecturer at FCC & S College Fateh Jang from 2016 to 2022, he taught a range of graduate courses spanning Calculus, Analytical Geometry, Mathematical Methods, Numerical Analysis, Mechanics, and Vector Analysis. Babar Shah’s mathematical interests encompass fluid dynamics, heat and mass transfer, and computational fluid dynamics, showcasing a diverse academic portfolio. He has earned accolades, including a Ph.D. Reimburse Scholarship and participation in the International Research Support Initiative Program (IRSIP) at Monash University, Australia. ๐Ÿ†๐ŸŒ

๐ŸŽ“ Academic Pursuits:

Ph.D. candidate at the International Islamic University Islamabad, with a research focus on “Heat Transfer Analysis of Non-Similar Axisymmetric Flows” under the guidance of Associate Prof. Dr. Ahmer Mehmood. M.Phil. degree (2015-2017) explored “Boundary Layer Flow due to Uniform Stretching of a Circular Cylinder” with a CGPA of 3.25/4. M.Sc. in Laplace Transform from Preston University, Islamabad, in 2014 with a CGPA of 3.8/4. B.Ed. from Preston University, Islamabad, in 2017.

๐Ÿงฎ Mathematical Interests:

Babar Shah’s mathematical interests span Ordinary/Partial Differential Equations, Continuous Moving Surfaces, Newtonian/Non-Newtonian fluids, Turbulent Boundary Layer Flows, Convective Heat, and Mass Transfer, Porous Media, MHD Fluid Flow, and Computational Fluid Dynamics.

๐Ÿ† Awards and Fellowships:

Ph.D. Reimburse Scholarship. International Research Support Initiative Program (IRSIP) for Monash University, Australia.

Professional Profiles:

Research Focus ๐Ÿš€:

Mr. Babar Shah, associated with the International Islamic University in Pakistan, excels in theoretical and computational analyses of fluid dynamics with a focus on convective transport, radiation effects, and heat transfer phenomena. His research delves into the intricacies of laminar flows over bodies of revolution, exploring the combined impacts of surface sharpness and transverse curvature on thermal transport. Babar Shah’s expertise extends to computational analysis, evident in studies on flow separation in mixed convection MHD flows and analyzing the effects of TVC (thrust vector control) on seizing flow around a moving continuous cylinder. His contributions significantly advance our understanding of fluid behavior in complex scenarios. ๐Ÿ“ˆ๐Ÿ”

๐ŸŽ“ Publications Top Note:

 

Enrique Del Castillo | Industrial Engineering | Best Researcher Award

Prof. Enrique Del Castillo | Industrial Engineering | Best Researcher Award

Prof. Enrique Del Castillo, Pennsylvania State University, United States

Dr. Enrique del Castillo, a Distinguished Professor in the Industrial and Manufacturing Engineering Department at Penn State, boasts a remarkable career at the intersection of statistics and industrial engineering. His research, backed by over $2.3 million in funding from entities like NSF, General Motors R&D, and Netflix, spans process optimization, statistical process control, time series analysis, Bayesian Statistics, and machine learning.

๐Ÿ‘จโ€๐Ÿซ Academic Leadership:

Director of the Engineering Statistics and Machine Learning Laboratory. Member of the Operations Research Program Committee at PSU. Affiliated member of the Institute for Computational and Data Sciences. Faculty in the Computational Science Graduate minor at PSU.

๐Ÿ“š Academic Appointments:

Distinguished Professor of Industrial Engineering at Penn State. Professor of Statistics (joint appointment) at the Eberly School of Science, PSU.

๐ŸŒ International Engagements:

Member of the Scientific Advisory Committee at the Institute for Data Science and Artificial Intelligence, University of Navarra, Spain. Advisory board member at the Department of Industrial Engineering, Mexican Institute of Technology (ITAM), Mexico City. Fulbright Scholar and Visiting Researcher at the University of Coimbra, Portugal (2019).

๐Ÿ† Awards and Honors:

Youden Award for the best paper in the Technometrics journal (2022). Fellow of the Royal Statistical Society (2019). NSF CAREER Award recipient. Distinguished Professor of Engineering at Penn State.

๐Ÿ“– Textbooks:

“Process Optimization with Multiple Response Variables, a Predictive Distribution Approach with R and Stan” (2023) – In preparation. “Process Optimization: A Statistical Approach” (2007). “Statistical Process Adjustment for Quality Control” (2002).

๐Ÿ“š Editorship:

Co-editor of “Bayesian Process Monitoring, Control, and Optimization” (2006). Co-editor of “Run to Run Process Control for Semiconductor Manufacturing” (2000).

Professional Profiles:

The impact of her research is evident in citation metrics and indices from Google Scholar:

  • Cited by: All โ€“ 7317.
  • Citations โ€“ 7317.
  • h-index โ€“ 43.
  • Documents โ€“ 238.

A prolific researcher making meaningful contributions to the academic world!

Research Focus ๐Ÿš€:

Prof. Enrique Del Castillo, based at Pennsylvania State University, stands as a trailblazer in statistical methodology for industrial engineering. His prolific research, evidenced by over 500 citations in numerous pivotal works, spans diverse areas. Notably, his focus on “Modified Desirability Functions for Multiple Response Optimization” and “Process Optimization: A Statistical Approach” reflects his significant contributions to optimization methodologies. From addressing dual response problems to seminal works in semiconductor manufacturing control, Prof. Del Castillo’s expertise traverses nonlinear programming, distribution fitting, and adaptive control systems. His enduring impact extends to pioneering literature reviews and e-Handbooks, shaping statistical methods in academia and industry. ๐ŸŒ๐Ÿ†

๐ŸŽ“ Publications Top Note: