Alexander Scheinker

Education

• Ph.D., Dynamics Systems and Control Theory
• University of California San Diego
• 2012

• M.S., Mathematics
• University of California San Diego
• 2008

• B.S., Mathematics
• Washington University
• 2006

• B.S., Physics
• Washington University
• 2006

Positions

• 2021 - Present | AOT-AE R&D Engineer
• 2011 - 2012 | AOT-RFE R&D Engineer

Professional Societies

• American Physical Society
• American Association for the Advancement of Science
• Institute of Electrical and Electronics Engineers

Publications

• Scheinker, Alexander, et al. "An adaptive approach to machine learning for compact particle accelerators." Scientific Reports 11.1 (2021): 1-11.
• Scheinker, Alexander. "Adaptive machine learning for time-varying systems: low dimensional latent space tuning." Journal of Instrumentation 16.10 (2021): P10008.
• Pokharel, Reeju, Anup Pandey, and Alexander Scheinker. "Physics-Informed Data-Driven Surrogate Modeling for Full-Field 3D Microstructure and Micromechanical Field Evolution of Polycrystalline Materials." JOM (2021): 1-12.
• Scheinker, Alexander, and David Scheinker. "Extremum seeking for optimal control problems with unknown time‐varying systems and unknown objective functions." International Journal of Adaptive Control and Signal Processing 35.7 (2021): 1143-1161.
• Scheinker, Alexander, and Reeju Pokharel. "Adaptive 3D convolutional neural network-based reconstruction method for 3D coherent diffraction imaging." Journal of Applied Physics 128.18 (2020): 184901.
• Scheinker, Alexander, et al. "Online multi-objective particle accelerator optimization of the AWAKE electron beam line for simultaneous emittance and orbit control." AIP Advances 10.5 (2020): 055320.
• Scheinker, Alexander, et al. "Model-independent tuning for maximizing free electron laser pulse energy." Physical Review Accelerators and Beams 22.8 (2019): 082802.
• Malyzhenkov, Alexander, and Alexander Scheinker. "Phase space exchange-based bunch compression with reduced CSR effects." arXiv preprint arXiv:1809.05579 (2018).