Dr. Najam Ul Qadir
is working as
Assistant Professor
in the
School of Mechanical & Manufacturing Engineering
. Dr. Najam Ul Qadir
has a PhD in
Mechanical Engineering
. Dr. Najam Ul Qadir
has published
22
research articles & conference papers having a citation count of
453
, carried out
0
projects and filed
0
intellectual property.
Selected 5 times on Dean's Honor Roll during BS program in G.I.K. Institute
Memberships
No project records found for this faculty member
20
Research Articles
2
Conference Proceedings
0
Books
0
Book Chapters
0
Editorial Activities
Performance prediction of a two-bed solar adsorption chiller with adaptive cycle time using a MIL-100(Fe)/water working pair ? in?uence of solar collector con?guratio2018
Statistical Analysis of Machining Parameters on Burr Formation, Surface Roughness and Energy Consumption during Milling of Aluminium Alloy Al 6061-T62022
Journal: Materials, Volume 15(22), Article Number 8065
Impact Factor: 3.748Citations: 15Quartile: 1
Structural stability of metal organic frameworks in aqueous media – Controlling factors and methods to improve hydrostability and hydrothermal cyclic stability2015
Rached Ben-Mansour
(King Fahd University of Petroleum and Minerals)
S
Syed A.M. Said
(King Fahd University of Petroleum and Minerals)
Journal: Journal of CO2 Utilization, Volume 22, Pages 238-249
Impact Factor: 5.503Citations: 52Quartile: 1
Direct Differentiation Based Hessian Formulation for Training Multilayer Feed forward Neural Networks using the LM Algorithm-Performance Comparison with Conventional Jacobian-Based Learning2018
Journal: Global Journal of Technology and Optimization, Volume 9, Issue 1, Pages 1-7
Impact Factor: 0Citations: 0Quartile: N/A
Influence of Principal Component Analysis as a Data Conditioning Approach for Training Multilayer Feedforward Neural Networks with Exact Form of Levenberg-Marquardt Algorithm2020
Journal: Global Journal of Technology and Optimization, Volume 11(1), Article Number 239
Impact Factor: 0Citations: 0Quartile: N/A
Performance prediction of a two-bed solar-powered adsorption chiller with heat and mass recovery cycles and adaptive cycle time – A first step towards the design of fully autonomous commercial-scale adsorption chillers 2021
Journal: Journal of Thermoplastic Composite Materials, Pages 1-23
Impact Factor: 3.330Citations: 6Quartile: 2
Performance comparison of a two-bed solar-driven adsorption chiller with optimal fixed and adaptive cycle times using a silica gel/water working pair2020