Shahaf Asban Email & Phone Number | As a Ph.D. mathematical physicist in the realm of noisy systems, my postdoctoral journey at the University of California was characterized by a hands-on approach to research, from signal generation to acquisition with quantum sources of light such as entangled photon beams. I specialized in the modeling and simulation of noisy systems (molecules and synthetic structures), developing novel statistical signal processing schemes (induced random phase and correlation based measurements), image processing, and innovative sampling techniques. This comprehensive expertise is underpinned by a robust command over statistical algorithms from kinetic Monte-Carlo to finite sampling biased estimation problems, enabling me to tackle complex computational challenges. At the University of South Florida, spearheading the quantum technology initiative, I led interdisciplinary education culminated in the creation of an inclusive quantum computing course. This course broke new ground by making complex quantum technologies accessible to a diverse cohort of mathematics, science, and engineering students, fostering an academic atmosphere that champions inclusivity and innovation. Steering a transformative journey in tech, I combine statistical and mathematical physics with data science to develop algorithms that advance automated decision-making. For example, novel outlier detection techniques for classification problems (Neural-Networks) based on similarity search via feature engineering. My methods, rooted in theory and honed through practical application, refine neural networks and leverage insights from unique domain expertise harnessed for data-driven decisions.

Shahaf Asban

As a Ph.D. mathematical physicist in the realm of noisy systems, my postdoctoral journey at the Univ...
Tel Mond, Tel Mond, Israel

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Shahaf Asban’s Email sasban@usf.edu

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Shahaf Asban’s Location Tel Mond, Tel Mond, Israel

Shahaf Asban’s Current Industry Classiq Technologies Frontiers

Shahaf Asban’s Prior Industry University Of South Florida | Autobrains Technologies | Uc Irvine | Technion Israel Institute Of Technology

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Work Experience

Classiq Technologies

Quantum Applications Architect

2024-01-01 00:00:00 - Present

Frontiers

Editorial Board Member

2023-09-01 00:00:00 - Present

University Of South Florida

Assistant Professor

2022-08-01 00:00:00 - 2024-02-01 00:00:00

Autobrains Technologies

Senior Data Scientist | Computer Vision

2023-01-01 00:00:00 - 2023-10-01 00:00:00

Uc Irvine

Senior Postdoctoral Fellow

2017-10-01 00:00:00 - 2021-08-01 00:00:00

Technion Israel Institute Of Technology

Research

2013-06-01 00:00:00 - 2017-09-01 00:00:00

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FAQ About Shahaf Asban

Shahaf Asban is located at
Tel Mond, Tel Mond, Israel

Shahaf Asban is a As a Ph.D. mathematical physicist in the realm of noisy systems, my postdoctoral journey at the University of California was characterized by a hands-on approach to research, from signal generation to acquisition with quantum sources of light such as entangled photon beams. I specialized in the modeling and simulation of noisy systems (molecules and synthetic structures), developing novel statistical signal processing schemes (induced random phase and correlation based measurements), image processing, and innovative sampling techniques. This comprehensive expertise is underpinned by a robust command over statistical algorithms from kinetic Monte-Carlo to finite sampling biased estimation problems, enabling me to tackle complex computational challenges. At the University of South Florida, spearheading the quantum technology initiative, I led interdisciplinary education culminated in the creation of an inclusive quantum computing course. This course broke new ground by making complex quantum technologies accessible to a diverse cohort of mathematics, science, and engineering students, fostering an academic atmosphere that champions inclusivity and innovation. Steering a transformative journey in tech, I combine statistical and mathematical physics with data science to develop algorithms that advance automated decision-making. For example, novel outlier detection techniques for classification problems (Neural-Networks) based on similarity search via feature engineering. My methods, rooted in theory and honed through practical application, refine neural networks and leverage insights from unique domain expertise harnessed for data-driven decisions.

Shahaf Asban currently works in the Classiq Technologies | Frontiers |

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Shahaf Asban has prior
experience in the following industries:
University Of South Florida | Autobrains Technologies | Uc Irvine | Technion Israel Institute Of Technology

Shahaf Asban has the following professional experience:
Classiq Technologies | Frontiers | University Of South Florida | Autobrains Technologies | Uc Irvine | Technion Israel Institute Of Technology