Summary
Overview
Work History
Education
Skills
Publications
Award & Scholarships
Linkedin Profile
Leadership Positions Affiliations
Technicalskills
Timeline
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Mohammad Zahidul Hossain Khan

Beaverton,USA

Summary

Detail-oriented and innovative Dry Etch Engineer with over 2.8 years of experience in semiconductor process engineering, specializing in dry etch technology. Proven track record in process development, optimization, and troubleshooting to enhance product quality and throughput. Seeking to leverage my expertise and dedication to excellence at semiconductor company.

Overview

9
9
years of professional experience

Work History

Dry Etch Engineer

Intel Cooperation
Hillsboro, Oregon
02.2022 - Current

Module Sustaining:

  • On-call Duty: Coverage of operational, automation, and hardware issues, disposition E3 abort, tool alarm, layer targeting OOCs, and inline defect tracer.
  • Independently and successfully qualified the module and created RFC spec.
  • Developed and wrote quality effective form (QEF) RFC BKM in SPEC for scrap reduction and disposition
  • Performed routine maintenance and calibration of etch equipment, maintaining an equipment uptime of [90%+]
  • Utilized SPC techniques to monitor process stability and control, leading to a [98%] reduction in process variation

Layer sustaining and development:

  • Own several layers in the FE segments in the metal gate segment and completed the APC setup.
  • Created a new station monitor and SPC chart for a specific layer in the metal gate and improved the inline product.

Defect reduction:

  • Conducted root cause analysis for etch-related defects and implemented corrective actions, improving the quality of critical layers.
  • Participated in cross-functional teams to address cost reduction initiatives.

Research Assistant

University of Idaho
Moscow, ID
01.2016 - 10.2021
  • Designed ion cluster impact on nanoparticles lens with the help of SIMION software for calculating electric fields for electrodes of defined voltages and ion trajectories
  • Assumed accountability in organizing, executing, and evaluating experiments to enhance fabrications of iron oxide, core-shell iron oxide nanoparticles through magnetron sputtering techniques
  • Researched temperature-induced morphology, crystal structure, phase, size, and magnetic properties of the iron oxide, core-shell iron/iron oxide, and iron nitride nanoparticles
  • Performed statistical analysis (SPC/DOE) on the thin film deposition of the metal bases on the different parameters such as vacuum pressure, gas flow rate, and power supply
  • Utilized AutoCAD in designing machine drawing for various parts of magnetron sputtering system and process specifications
  • Led two projects to model, simulate pure and core-shell nanoparticle and data analysis the radiation effect to impact on experimental studies
  • Held responsibility for distributing research findings in several international conferences and scientific journals
  • Trained other graduate students by leading, guiding, and assisting them with the goal of preparing them to execute flawlessly magnetron sputtering device for cluster and thin film deposition
  • Equipment vendors contracts to mitigate issues in turbomolecular pump (TMP) and machine shop technician to create and change parts of the magnetron sputtering system.

Education

PhD in Physics -

University of Idaho
Moscow, ID, USA
10.2021

Master of Science in Physics -

Memorial University of Newfoundland
Canada
10.2015

Skills

  • Manufacturing and Equipment: Dry etch systems (TEL) (Plasma etch process), Cleanroom protocols,magnetron Sputtering System,Nanocluster Film Synthesis, Physical Vapor Deposition (PVD),Vacuum Technology,Leak Detection, Gas Flow Control, Mechanical Troubleshooting, Model based problem solving
  • Material Characterization Techniques: Transmission Electron Microscopy (TEM), Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD), Atomic Force Microscopy (AFM), Energy Dispersive X-ray Spectroscopy (EDS)
  • Computation and Simulations: MD simulation and DFT quantum simulation
  • Software: LAMMPS, Gaussian, OVITO, VMD, Gauss View, High performance computing
  • Data Analysis: JMP, Design of Experiment, Statistical Process Control, Python, Bash script

Publications

  • MZH Khan, L Khanal, Y Qiang. “Radiation Effect on BCC Fe Nanoparticle with Varying Radiation Energy by Molecular Dynamics Simulation” Materialia 14, December 2020, 100930
  • MZH Khan, AI Alrawashdeh, S Aljohani, Y Zhao, JB Lagowski. “DFT investigation of the interaction between single-walled carbon nanotubes and fluorine-based conjugated oligomers” Physical Chemistry Chemical Physics 19 (41), 28071-28082.

Award & Scholarships

Leonard Halland Centennial Scholarship, University of Idaho, 2017, 2020

Linkedin Profile

https://www.linkedin.com/in/mohammad-khan-21a0167b/

Leadership Positions Affiliations

President, Bangladeshi Association of Students and Scholars (BASS), 2019, Present

Technicalskills

Proficient with dry etch systems such as TEL, experienced in plasma etch processes for materials such as polysilicon, oxide, nitride, and metals and Familiar with cleanroom protocols and semiconductor fabrication techniques., Material Process and Fabrication: Magnetron Sputtering System-Gas Aggregation Technique for Nanocluster Film Synthesis, Thin Film Fabrication and Quartz System for Deposition Rate Measurement, Physical Vapor Deposition (PVD) Vacuum Technology: Leak Detection and Gas Flow Control Mechanical Troubleshooting: Model based problem solving with root Cause Analysis-Fix and Avoid in the Future High Temperature Annealing Techniques: Vacuum and Gaseous Environment Material Characterization Techniques: Transmission Electron Microscopy (TEM), Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD), Atomic Force Microscopy (AFM), Energy Dispersive X-ray Spectroscopy (EDS), Focused Ion Beam (Basic), Material Modeling and Simulation: Molecular dynamics simulation for observing radiation effect on nanomaterials | Electronic structure method (density functional theory (DFT)) for observing carbon nanotube and polymer interaction | Finite Element Method (Knowledgeable) Simulation Software: LAMMPS, Gaussian, OVITO, VMD, Gauss View Software/Tools: JMP, Design of Experiment, Statistical Process Control. Programming and operating system: BASH, Python, Linux (Ubuntu, Mint), Windows, High Performance Computing (HPC).

Timeline

Dry Etch Engineer

Intel Cooperation
02.2022 - Current

Research Assistant

University of Idaho
01.2016 - 10.2021

PhD in Physics -

University of Idaho

Master of Science in Physics -

Memorial University of Newfoundland
Mohammad Zahidul Hossain Khan