Meet Dr. Omer Kaspi
Dr. Omer Kaspi is a highly experienced System Engineering and AI professional with over a decade of expertise in the defense industry, specifically in the fields of electronic warfare (EW), RF engineering, and advanced signal intelligence (SIGINT, COMINT, and COMJAM). As Head of the Counter-Unmanned Aircraft System (C-UAS) Engineering department at Elbit Systems, Dr. Kaspi directed teams of engineers and integrators, leading complex R&D projects to develop and enhance next-generation defense technologies. His project leadership emphasizes collaboration across disciplines, integrating capabilities from Command and Control (C2), Cybersecurity, EO/IR, and more to create holistic solutions tailored to the unique needs of the defense sector.
Dr. Kaspi’s commitment to advancing the field extends beyond his industry work; he frequently shares his knowledge through lectures and presentations at leading international conferences. With a Ph.D. in AI applications for forensic science from Bar-Ilan University, he has published groundbreaking research in machine learning for forensic applications and materials informatics. His work has been recognized globally, and he is a sought-after speaker on topics at the intersection of AI, defense technology, and engineering innovation. Through these presentations, Dr. Kaspi contributes to the broader scientific community, fostering discussions that push the boundaries of AI and signal processing applications in both defense and commercial settings.
Driven by intellectual curiosity and a dedication to solving complex problems, Dr. Kaspi’s expertise spans algorithm design, data science, and systems engineering. His background includes roles as a Senior System Engineer and Senior Analyst, where he honed his skills in project management, integration, testing, and algorithm optimization. Today, he continues to champion innovation, bringing together technology and strategy to shape the future of defense engineering.
Publications
1.
Kaspi, O.; Israelsohn-Azulay, O.; Zidon. Y.;Rosengarten. H.; Krmpotić, M.; Gouasmia, S.; Radović, I.; Jalkanen, P.; Liski, A.; Mizohata, k.; Räisänen, J.; Kasztovszky, Z.; Harsányi, I.; Acharya, R.; Pujari, P.; Mihály, M.; Braun, M.; Shabi, N.; Girshevitz, O.; Senderowitz, H., Towards developing technique-agnostic machine learning classification models for forensically relevant glass fragments, Journal of Chemical Information and Modeling, 2023, 63, 87-100.
2.
Bahia, MS.; Kaspi, O.; Touitou, M.; Binayev, I.; Dhail, S.; Spiegel, J.; Khazanov, N.; Yosipof, A.; Senderowitz, H., A comparison between 2D and 3D descriptors in QSAR modeling based on bio-active conformations. Molecular Informatics, 2023, 42,4.
3.
Kaspi, O.; Israelsohn-Azulay, O; Zidon, Y.; Rosengarten, H.; Krmpotić, M.; Gouasmia, S.; Radović, I.; Jalkanen, P.; Liski, A.; Mizohata, K.; Räisänen, J.; Girshevitz, O.; Senderowitz, H., Inter-laboratory workflow for forensic applications: Classification of car glass fragments, Forensic Science International, 2022, 111216
4.
Kaspi, O.; Girshevitz, O.; Senderowitz, H., PIXE Based Machine-Learning (PIXEL) Supported Workflow for Glass Fragments Classification, Talanta, 2021, 234, 122608.
5.
Senderowitz, H.; Yosipof, A.; Kaspi, O. Application of materials informatics tools to the analysis of combinatorial libraries of all metal-oxides photovoltaic cells Lecture Notes in Computer Science, 2019, 11731, pp. 758–763.
6.
Kaspi, O.; Yosipof, A.; Senderowitz, H., Visualization of solar cells library space by dimension reduction methods Journal of Chemical Information and Modeling, 2018, 58, 2428-2439.
7.
Kaspi, O.; Yosipof, A.; Senderowitz, H. PV Analyzer: A Decision Support System for Photovoltaic Solar Cells Libraries, Molecular Informatics, 2018, 37(9-10): 1800067.
8. Kaspi, O.; Yosipof, A.; Senderowitz, H. Random Sample Consensus (RANSAC) Algorithm for Material-Informatics: Application to Photovoltaic Solar Cells, Journal of Chemoinformatics, 2017, 9, 34. This article was selected by Springer-Nature publishing group to be included in the prestigious “Change the World, One Article at a Time initiative” list. See:
Updated: March, 2024
https://www.springernature.com/gp/researchers/campaigns/change-the-world/chemistry-physics-astronomy-engineering-materials
9.
Yosipof, A.; Kaspi, O.; Majhi, K,; Senderowitz, H. Visualization Based Data Mining for Comparison Between Two Solar Cell Libraries, Molecular Informatics, 2016, 35, 622-628.
10.
Sivan, Y.; Salama-Ortar, I.; Hardee G.M.; Kaspi, O.; Ten Possible States in the Age of 3D3C Art: The Contil Case. Journal For Virtual Worlds Research, 2013, 6,10.