Bahria University

DR. QAMARUDDIN MEMON

PERSONAL INFORMATION
Email	qamaruddin.bukc@bahria.edu.pk
Phone. Ext.	02199240002
Research Area	Nanoelectronics, Machine Learning, Embedded system, Computer Vision
Number of Publications	18

QUALIFICATION
DEGREE	PASSING YEAR	MAJORS	UNIVERSITY
TEACHING EXPERIENCE
DESIGNATION	FROM	TO	ORGANIZATION

Publications

Journals & Conferences

• An Efficient Technique to Simulate the AC/DC Parameters of Trigate FinFETs | IEEE Access
• A Self-healing Restoration of Power Grid Based on Two-Stage Adaptive Decision-Making Strategy to Enhance Grid Resilience | International Journal of Electrical Power and Energy Systems
• An Efficient Technique to Predict DC Characteristics of Nano FinFETs Using Deep Neural Network | Journal of Computational Electronics
• A Unified Depletion/Inversion Model for Heterojunction Trigate FinFETs DC Characteristics, | IEEE Access
• A Schrödinger–Poisson model for output characteristics of trigate ballistic Si fin field effect transistors (FinFETs) | International Journal of Numerical Modelling Electronic Networks Devices and Fields
• A Modified Analytical Model for AlGaN/GaN FinFETs I–V Characteristics. | Semiconductor Science and Technology
• Non-linear Compact Model for FinFETs Output Characteristics | IET Circuits Devices Systems
• A Comparative Analysis of BER Performance for NOMA in the Presence of Rayleigh Fading and Impulse Noise | International Journal of Innovations in Science Technology
• Potential Challenges and Solutions for Implementing NOMA in Smart Grid | International Journal of Innovations in Science Technology
• Particle Filter Based Multi-sensor Fusion for Remaining Service Life Estimation of Energized LV-Aerial Bundled Cables | International Journal of Innovations in Science Technology
• Genetic Algorithm Optimization of Log Periodic Dipole Array | International Journal of Electromagnetics and Applications
• Log Periodic Dipole Antenna Design Using Particle Swarm Optimization | International Journal of Electromagnetic and Applications
• Performance Evaluation of Fake News Detection Using Artificial Intelligence Techniques | International Journal of Innovations in Science and Technology