Academic Profile

Kumail Raza received his Bachelor of Science and Master of Philosophy degree in Mathematics from the Kohat University of Science and Technology, Pakistan. His research focuses on Topological Properties of Commuting Graphs over Chemical Structures and Fuzzy Logics with Artificial Intelligence. His academic and research background combines expertise in Mathematics and with modern analytical methods, aiming to bridge theory and practice in innovative Mathematical solutions. Email: [email protected].

Editorial Roles

No Editorial Roles

This user currently does not serve as an editor for any ICCK journals.

ICCK Publications

Total Publications: 2
Open Access | Research Article | 08 February 2026
Topological Optimization of a 2D Microfluidic Channel for Particle Separation
ICCK Transactions on Advanced Computing and Systems | Volume 2, Issue 2: 74-84, 2026 | DOI: 10.62762/TACS.2025.192275
Abstract
The escalating demand for efficient particle separation in microfluidic systems necessitates innovative design solutions. This study presents a simulation-based topology optimization method to passively separate particles within a 2D microfluidic channel, eliminating the need for external forces. Leveraging a coupled Navier-Stokes solver and particle advection simulation, the framework iteratively refines the channel's geometry by minimizing an objective function quantifying particle mis-sorting. Our approach computationally generated optimal, manufacturable topologies, demonstrating a peak sorting efficiency of 0.6667 (66.67%) achieved by the second iteration, which then stabilized in subse... More >

Graphical Abstract
Topological Optimization of a 2D Microfluidic Channel for Particle Separation
Open Access | Research Article | 07 January 2026
A Decision Support System for Reverse Logistics Network Design: Integrating Multi-Factorial Forecasting of Solar Panel End-of-Life Assets
ICCK Transactions on Emerging Topics in Artificial Intelligence | Volume 3, Issue 1: 33-44, 2026 | DOI: 10.62762/TETAI.2025.782328
Abstract
The rapid global deployment of solar photovoltaic (PV) technology presents a significant and often overlooked challenge: the effective management of end-of-life (EoL) solar panels. This issue is particularly acute in developing and emerging economies, where established reverse logistics infrastructure is often lacking. A critical limitation in current academic literature is the oversimplified forecasting of EoL waste streams, which fails to account for the dynamic interplay of socio-economic, policy, and environmental variables. To bridge this gap, we propose a novel decision support system (DSS) for the design of a sustainable reverse logistics network. Our system uniquely integrates a hybr... More >

Graphical Abstract
A Decision Support System for Reverse Logistics Network Design: Integrating Multi-Factorial Forecasting of Solar Panel End-of-Life Assets