Profile
Ph.D. physicist specializing in Optics | Computational Modeling | Imaging Systems, with 4 years of industry experience in CD-SEM metrology at Intel and
additional research experience in experimental optics, modeling, and algorithm development. Strong background in physics-driven algorithm development,
AI-enabled imaging workflows, and large-scale data analysis. Skilled in designing Python
pipelines for automation, image quality assessment, and SEM tool health monitoring.
Seeking roles at the intersection of optics, metrology, imaging, and AI-driven analysis.
Education
Ph.D., Physics (Optics | Computational Modeling)
Aug 2016 to Oct 2021 | University of California, Merced.
M.S., Physics
2016 | Binghamton University (SUNY) , Binghamton, NY.
Experience
Metrological Process Engineer
Intel Corporation, Hillsboro, USA. | Nov, 2021 - July, 2025
- Primary tool owner of four CD-SEM systems and co-owner of four additional tools in a high-volume 24/7 manufacturing environment.
- Maintained SPC charts for fleet-wide metrology tools to monitor tool health and measurement stability.
- Designed and deployed a Python dashboard for monitoring key CD-SEM tool health (beam parameters and subsystem trends) enabling fast anomaly detection.
- Automated DCCD round-robin analysis with Python, improving consistency checks and reporting accuracy across the SEM fleet.
- Built a computer vision toolkit for automated SEM image quality assessment (sharpness, CNR, FFT-sharpness, GLCM texture metrics).
- Developed Python workflows for processing FCCD datasets and integrating results into long-term SPC systems.
- Collaborated with cross-functional teams to troubleshoot tool drift, optimize alignment, and reduce metrology downtime.
Graduate Research Scholar
University of California, Merced, California. | Aug, 2016 - Oct, 2021
- Computational Modeling & Nano-fabrication of Plasmonic Metastructures:
- Developed a full-wave computational model combining MFS and Foldy–Lax theory to simulate scattering from 3D plasmonic nanostructures.
- Implemented Python and MATLAB solvers to compute far-field patterns, extinction spectra, and design parameter sweeps.
- Performed nano-fabrication of the core-shell meta structures and correlated experimental measurements with simulation results. Optical Metrology for Energy Transfer in Nanoclusters:
- Characterized NSET/FRET dynamics using time-resolved photoluminescence (TRPL).
- Built and aligned custom optical setups with improved SNR for dilute samples.
Graduate Research Associate
Universal Instruments Corporation, Conklin, New York. | 2013-2014
- Characterized thermomechanical properties of lead-tin-silver alloys for high-temperature electronic packaging.
- Conducted DSC analysis to determine melting point depression and thermodynamic behavior.
- Performed SEM-based microstructural analysis to link material composition with grain morphology.
- Measured mechanical integrity using a Dage 4000 Plus bond tester and co-authored an IMAPS industry publication.
- Co-authored an industry-facing publication for the International Microelectronics Assembly and Packaging Society (IMAPS), presenting findings to aid in the development of new industrial alloys.
Publications(Selected)
- Khan, M.I., et al., “Scattering by nanoplasmonic mesoscale assemblies,” JOSA A 42, 1244–1253 (2025).
- Khan, M.I., et al., “Modeling broadband cloaking using 3D nano-assembled plasmonic meta-structures”, Optics Express, 2020.
Certifications