Alik Chebotar
kip0d_at_pm_dot_me

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Hi, my name is Alik Chebotar and I am a seasoned technology leader and entrepreneur with a robust background in product making, software engineering, cybersecurity and IT operations.
As the founder of "Kip0d Solutions", a technology company based in Haifa, Israel, I provide instrumental in delivering innovative IT solutions and services to a diverse clientele, including individuals and organizations across various sectors.

With over a decade of experience in project management, IT Service Management (ITSM), and release management, I successfully demonstrated proficiency in steering complex projects. My technical expertise encompasses a wide array of management tools reflecting versatility and depth in the tech domain.

My commitment to privacy and security is evident through affiliation with Privacy Israel, underscoring dedication to ethical practices in technology. In crisis management scenarios, my analytical acumen and strategic foresight enable to navigate complex issues effectively, ensuring resilience and continuity in operations. My leadership style is characterized by adaptability, innovation and a results-driven mindset, as a result bringing a valueable asset in both stable and turbulent environments.

  Present Experience
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    Haifa University
    IT Infrastructure and Development Manager
    Dec 25 - Present

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    Kip0d Solutions
    Founder
    Jan 15 - Present

  Previous Experience
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    Haifa University
    Computing Division
    Software Engineering
      Mar 15 - Feb 21

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    The Underwater Acoustic & Navigation Laboratory
    Software Engineering
    Feb 21 - Mar 24

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    Project CETI
    Acoustics and Software Engineering
    Feb 21 - May 24

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    UWIN~LABUST
    Acoustics and Software Engineering
    Apr 22 - May 24

Publications
      2024
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Multiple Mobile Target Detection and Tracking in Active Sonar Array Using a Track-Before-Detect Approach
Avi Abu, Nikola Miskovic, Oleg (Alik) Chebotar, Neven Cukrov, Roee Diamant
IEEE 2024

paper | abstract |

We present an algorithm for detecting and tracking underwater mobile objects using active acoustic transmission of broadband chirp signals whose reflections are received by a hydrophone array. The method overcomes the problem of high false alarm rate by applying a track-before-detect approach to the sequence of received reflections. A 2D time-space matrix is created for the reverberations received from each transmitted probe signal by performing delay and sum beamforming and pulse compression. The result is filtered by a 2D constant false alarm rate (CFAR) detector to identify reflection patterns corresponding to potential targets. Closely spaced signals for multiple probe transmissions are combined into blobs to avoid multiple detections of a single object. A track-before-detect method using a Nearly Constant Velocity (NCV) model is employed to track multiple objects. The position and velocity is estimated by the debiased converted measurement Kalman filter. Results are analyzed for simulated scenarios and for experiments at sea, where GPS tagged gilt-head seabream fish were tracked. Compared to two benchmark schemes, the results show a favorable track continuity and accuracy that is robust to the choice of detection threshold.