Naseem Ahmad Khan

ORCID: 0009-0009-0410-5620
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About
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Research Areas
  • Heat Transfer and Optimization
  • Heat Transfer Mechanisms
  • Nanofluid Flow and Heat Transfer
  • Heat Transfer and Boiling Studies
  • Elevator Systems and Control
  • Consumer Perception and Purchasing Behavior
  • Freezing and Crystallization Processes
  • Reliability and Maintenance Optimization
  • Mechanical and Thermal Properties Analysis
  • Engineering and Test Systems
  • Software Engineering Research
  • Model-Driven Software Engineering Techniques
  • Fluid Dynamics and Turbulent Flows
  • Advanced Software Engineering Methodologies
  • Diverse Approaches in Healthcare and Education Studies
  • Sports Performance and Training

Islamia College University
2023-2025

Aligarh Muslim University
2014

AT&T (United States)
1987-1988

Abstract This paper presents an in-depth analytical investigation into the time-dependent flow of a Casson hybrid nanofluid over radially stretching sheet. The study introduces effects magnetic fields and thermal radiation, along with velocity slip, to model real-world systems for enhancing heat transfer in critical industrial applications. consists three nanoparticles—Copper Graphene Oxide—suspended Kerosene Oil, selected their stable superior properties. theory Darcy-Forchheimer, suction...

10.1038/s41598-025-87743-9 article EN cc-by Scientific Reports 2025-01-27

A model-based reasoning approach called model refinement, which has been used in an experiment to reason about faults on trunks, is presented. In the model-refinement approach, heuristics are generate appropriate level of description, depending upon symptoms. Related-issues developing a expert system also discussed, namely, translating models into rules for efficiency, and user interface requirements explanations. Some unresolved problems with examined, emphasis deficiencies technique.< <ETX...

10.1109/49.629 article EN IEEE Journal on Selected Areas in Communications 1988-06-01

10.1007/s40034-014-0030-4 article EN Journal of The Institution of Engineers (India) Series E 2014-04-01

This paper presents a method for evaluating expert systems. The evaluation consists of criteria development, empirical performance assessment and feedback. Included are assessments by the domain expert, knowledge engineers, end users management. include factors traditionally used to evaluate systems ( quality advice, correctness reasoning strategy, user interface, hardware environment, response time) that concern field deployment as product (expectations users, management). developed applied...

10.1117/12.940635 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 1987-05-11
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