Applied Bayesian Qubit State Tomography
S. M. Kazim, A. Farooq, J. ur Rehman, and H. Shin, "Applied Bayesian Qubit State Tomography," Proc. Korea Information and Communications Society (KICS) Summer Conference, pp. 190-192 Korea, Aug. 2020.
CV2
Education
- B.S. in Electrical Engineering, National University of Sciences and Technology, Pakistan – 2014 - 2018
- M.S. in Electronics Engineering, Kyung Hee University, South Korea – 2019 - 2022
Work experience
October 2021 – Present: External AI Consultant
- Compnay: Endress+Hauser, Germany – Remote
- Duties included: Automation using AI tools.
September 2019 - February 2022: Graduate Research Assistant
- Communications and Quantum Information Lab, Kyung Hee University , South Korea
- Duties included: Research on quantum state tomography, proposal write-ups and lab management.
August 2018 - August 2019: Research Officer
- INTEL Research Lab, National University of Sciences and Technology, Pakistan
- Duties included: Design and optimization of antennas and amplifiers.
Skills
- Skill 1
- To be added soon.
Publications
Adaptive Optimal Basis Tomography for Qubits
S. M. Kazim, J. ur Rehman, and H. Shin, "Adaptive Optimal Basis Tomography for Qubits," Proc. Korea Information and Communications Society (KICS) Winter Conference, pp. 395-396 Korea, Feb. 2021.
Adaptive Quantum State Tomography with Iterative Particle Filtering
S. M. Kazim, A. Farooq, J. ur Rehman, and H. Shin, "Adaptive quantum state tomography with iterative particle filtering," Quantum Inf. Process., Sep. 2021
Robust Ground State Tomography with Neural Networks
S. M. Kazim, J. ur Rehman, and H. Shin, "Robust Ground State Tomography with Neural Networks," Proc. Korea Information and Communications Society (KICS) Winter Conference, Feb. 2022
Metal Diaphragm Seal Defect Detection Using Convolutional Neural Networks
S. M. Kazim, J. Tayyub, M. Sarmad, and Patrick Werner, "Metal Diaphragm Seal Defect Detection Using Convolutional Neural Networks," Feb. 2022
Learning the essential in less than 2k additional weights- a simple approach to improve image classification stability under corruptions
K. Baeuerle, P. Mueller, S. M. Kazim, I. Ihrke, and M. Keuper, "Learning the essential in less than 2k additional weights- a simple approach to improve image classification stability," Transactions on Machine Learning Research, Jun. 2024
Optical System Characterization in Fourier Ptychographic Microscopy
J. Meshreki, S. M, Kazim, and I. Ihrke, "Optical system characterization in Fourier ptychographic microscopy," Opt. Continuum, Nov. 2024
Direct Image Classification from Fourier Ptychography Microscopy Measurements without Reconstruction
N. S. Agarwal, J. P. Schneider, K. V. Gandikota†, S. M. Kazim, J. Meshreki, I. Ihrke, and M. Moeller, "Direct image classification from Fourier ptychographic microscopy measurements without reconstruction," International Symposium on Computational Sensing (ISCS), Mar. 2025
Performance Validation of Coded Wavefront Sensing for Quantitative Phase Imaging of Static and Dynamic Specimens using Digital Holographic Microscopy
S. M. Kazim, F. Strasser, M. Løvmo, A. Nehrych, S. Moser, M. Ziemczonok, W. Heidrich, I. Ihrke, and M. Ritsch-Marte, "Performance validation of coded wavefront sensing for quantitative phase imaging of static and dynamic Specimens using digital holographic microscopy," International Symposium on Computational Sensing (ISCS), Mar. 2025
Coded wavefront sensing for video-rate quantitative phase imaging and tomography: validation with digital holographic microscopy
S. M. Kazim, F. Strasser, M. Løvmo, A. Nehrych, S. Moser, M. Ziemczonok, W. Heidrich, I. Ihrke, and M. Ritsch-Marte, "Coded wavefront sensing for video-rate quantitative phase imaging and tomography: validation with digital holographic microscopy," Optica Open, May. 2025
Service and leadership
- To be added soon.