International Conference on Emerging Technologies in Electronics, Computing and Communication (ICETECC) 2022








Dr. Adil Mustafa - Keynote Speaker at ICETECC`22
Dr. Adil Mustafa

He is a Assistant Professor, University Bolton, UK. Dr. Adil Mustafa Did his bachelors in Electronics Engineering form COMSATS University. He then pursued his masters at Politecnico Di Torino and PhD at KoƧ University, Istanbul. He has worked as PDRA at the University of Bath, Bristol and Warwick in the UK. He is currently working as an Assistant professor at the University of Bolton. His expertise is in developing Lab-on-Chip Devices for biomedical applications with a special focus on Diagnostic devices. He has special interest in integrating machine learning models to classify the data obtained from Lab-on-chip devices.

Keynote Speech on:
Lab-on-Chip Devices for Biomedical Applications

In this talk, I will present a series of microfluidic platforms I have developed to address key challenges in biomedical diagnostics, cell analysis, and cancer research. The first part of the presentation will introduce a novel micropillar-based viscometer capable of quantifying the viscosity of both Newtonian and non-Newtonian fluids in real-time by measuring the deflection of PDMS micropillars under continuous flow. This approach enables sensitive detection of changes in blood viscosity, with potential applications in identifying coagulation abnormalities. Next, I will discuss the design and operation of a hydrodynamic microfluidic trap used to capture and analyze the dissolution of single droplets under controlled flow conditions. Experimental results using benzyl benzoate in surfactant-laden media will be compared with theoretical predictions, highlighting the platform's utility for mass transfer studies. The talk will then focus on a dielectrophoresis (DEP)-based microfluidic device for rapid, label-free sorting of viable and non-viable T-cells based on their dielectric properties. This technology holds significant promise for improving safety and efficiency in cell-based therapies. Finally, I will present a microfluidic platform integrated with two-photon microscopy to study metabolic responses in cancer cells. By monitoring NAD(P)H autofluorescence under varying glucose conditions, we gain real-time insight into cellular redox states and viability. Altogether, this work demonstrates how microfluidic systems can serve as versatile, high-resolution tools for probing physical, chemical, and biological phenomena relevant to healthcare and translational medicine.




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