Mudassar Iqbal
Changhua, Taiwan | Email: raimudassar001@gmail.com | LinkedIn: linkedin.com/in/raimudassar | Website: https://www.mudassar.uk | ORCID: orcid.org/0009-0001-4753-7169
Professional Summary
Dedicated Thin-Film & Process Engineer with 3+ years of cleanroom semiconductor fabrication and display technology experience. Graduated with a perfect 4.0/4.0 GPA in Master of Science in Physics from NCUE, Taiwan. Expert in transparent conductive oxide (TCO) multilayer thin-film electrodes, photolithography mask alignment, photoresist spin coating, lift-off, and wet chemical etching. Proven track record in process parameter optimization, yield improvement, metrology-driven troubleshooting, and root-cause analysis (RCA) for defect reduction. Excellent alignment with process engineering, yield optimization, and device integration requirements for leading semiconductor fabricators like TSMC and Micron.
Technical Skills
Thin-Film Processing & Semiconductor Materials: Development and optimization of transparent conductive oxide (TCO) thin films including IZO, ZnO, and ZTO structures using spin coating, physical vapor deposition (PVD), thermal annealing, and process parameter optimization for enhanced electrical and optical performance.
Photolithography & Microfabrication: Photolithography workflow implementation including UV exposure, photoresist coating, mask alignment, lift-off processing, micro-pattern fabrication, and dimensional inspection to ensure pattern fidelity and process repeatability.
Process Control & Wet Processing: Wet chemical etching of thin-film materials with emphasis on etch-rate characterization, process uniformity, defect reduction, chemical safety, and process parameter optimization for reproducible fabrication outcomes.
Device Development & Experimental Engineering: Design, fabrication, and characterization of LC-based optical devices, including tunable LC lenses, polarization converters, and microhole electrode structures with voltage-gradient control and frequency-dependent performance evaluation.
Process Optimization & Data Analytics: Application of root-cause analysis, experimental design, process documentation, statistical evaluation, and Python-based data analysis and LabVIEW instrument automation to improve repeatability, optimize process parameters, and support data-driven engineering decisions.
Deep Learning & Computational Modeling: Applied deep learning through course projects (Ministry of Education TAICA program, National Taiwan University): binary semantic segmentation CNNs (UNet / ResNet34+UNet, Dice 0.87-0.89) on synthetic vision datasets, reinforcement learning DQN agents (CartPole, Pong, +21), and conditional DDPM image generation (iCLEVR, 62.5% accuracy).
Device Electrical Characterization: Electrical measurement of LC devices and transparent electrodes using LCR meter, Keithley source-measure unit (SMU), and frequency-sweep electrode characteristic analysis, with voltage-gradient control evaluation.
Optical Metrology: Optical measurement using polarizing optical microscopy (POM), optical profilometry, and polarization state analysis for device inspection and characterization.
Design & Visualization (Secondary): SolidWorks, Blender, Maya, Unity3D, 3ds Max, After Effects, Adobe Photoshop, Adobe Illustrator for 3D modeling and visual content creation.
Semiconductor & Device Physics (Academic Background): Fundamentals of semiconductor and device physics including band theory, carrier transport, PN junctions, and MOS capacitors from graduate-level coursework.
Professional & Research Experience
Process & Device Engineer (Research) - Liquid Crystal & Photonics Lab, NCUE Mar 2023 - Jan 2026
- Thin-Film Deposition & Process Engineering: Fabricated transparent conductive oxide (TCO) electrode stacks (IZO/ZnO/ZTO) using physical vapor deposition (PVD), spin coating, and thermal annealing; optimized process parameters to reduce sheet resistance from >100 MΩ range to kΩ range while maintaining high optical transmittance for enhanced device yield.
- Photolithography & Wet Etch Patterning: Developed and verified precise cleanroom microfabrication photolithography workflows (including UV exposure, photoresist spin coating, mask alignment, and lift-off patterning) and wet chemical acid etching to transfer microhole patterns with controlled edge profiles; authored standard operating procedures (SOPs) improving batch reproducibility and reducing process variation.
- Device Integration & Characterization: Integrated patterned electrodes into adaptive optoelectronic devices (tunable 2D focal-shift LC lenses and polarization converter arrays generating vector vortex beams with orbital angular momentum up to ℓ = ±2); diagnosed defects and performed failure analysis using polarizing optical microscopy (POM) and surface profilometry.
- Electrical Characterization: Performed device-level electrical analysis of LC cells and TCO electrodes using LCR meter and Keithley source-measure unit, including frequency-sweep and voltage-gradient measurements to evaluate electrode and device performance.
- Research Collaboration: Supported process characterization and experimental testing for a stacked LC microlens laser speckle suppression system, leading to a co-authored publication in Optics Letters (2025) demonstrating 67.4% speckle noise reduction.
- Cleanroom SOP Compliance: Authored standard operating procedures (SOPs) for wet chemistry processing stations and optical metrology setups, observing rigorous chemical handling and laboratory safety protocols.
Key Research Projects Research & Engineering Projects
Multilayer TCO Thin-Film Electrode Optimization (IZO / ZnO / ZTO).
Compact 2D Focal-Shift Liquid Crystal Lens (Single Microhole Architecture).
Rubbing-Free LC Polarization Array for Vector Vortex Beam Generation (OAM Control).
Stacked Microstructured LC System for Laser Speckle Suppression & Beam Homogenization.
Education
Master of Science in Physics - National Changhua University of Education Mar 2023 - Jan 2026
GPA: 4.0 / 4.0. Focus: Photonics, semiconductor technology, thin-film processes, optics, liquid crystal devices, and optical systems.
Bachelor of Science in Physics - The University of Lahore Sep 2018 - Jun 2022
GPA: 3.40 / 4.0. Focus: Material science, solid state physics, quantum mechanics, and experimental physics foundations.
Publications, Awards & Honors
- Liquid Crystal Polarization converter Array integrating Vector Vortex Beam Generation (2026) - In peer review [New]
- Optics Letters peer-reviewed publication (2025) - Che Ju Hsu, Mareena Antony, Mudassar Iqbal, and Chi Yen Huang, "Speckle noise reduction in laser projection using a liquid crystal device with stacked microstructured electrodes," Optics Letters, vol. 50, pp. 3812-3815, 2025. [Published]
- IDW '24 Outstanding Poster Paper Award (2024) - Outstanding Poster Paper Award (C000021), International Display Workshop 2024, Sapporo, Japan. [Award]
- Taiwan Liquid Crystal Society poster presentation (2023) - Poster presentation at the Annual Meeting of Taiwan Liquid Crystal Society (TLCS 2023), Taiwan. [Conference]
Programming & Automation Projects
- Python - Data Analysis & Instrument Automation: Python-based processing and analysis of experimental data and automation of measurement workflows.
- Binary Semantic Segmentation CNNs (course project): UNet and ResNet34+UNet models for binary semantic segmentation on synthetic vision datasets - Dice score 0.87-0.89.
- Reinforcement Learning Agents (course project): DQN agents trained for CartPole and Pong environments - score +21.
- Conditional DDPM Image Generation (course project): Conditional denoising diffusion probabilistic model on the iCLEVR dataset - 62.5% accuracy.
- Deep Learning Courses: Ministry of Education TAICA program, National Taiwan University.
- LabVIEW: Remote laboratory equipment control and data acquisition automation.
Languages
- English: Fluent (listening, speaking, reading, writing).
- Mandarin Chinese: Basic, improving (conversational).
References
Prof. Chi-Yen Huang - Professor, Department of Physics, National Changhua University of Education.
Email: chiyen@cc.ncue.edu.tw | Tel: +886-4-7232105 ext. 3345