Khanonkin E., Schechter I., Dattner I. (2025). Compensation for Matrix Effects in High-Dimensional Spectral Data using Standard Addition. Sensors, 25(3), 612. https://doi.org/10.3390/s25030612

The article presents a new method to address matrix effects in high-dimensional spectral data, which often distort analyte quantification when blank samples or prior knowledge of the sample composition are unavailable. The authors extend the classic standard addition technique to the spectral domain by adjusting the data before applying chemometric models such as Principal Component Regression. Through simulations under various conditions (different noise levels, matrix strengths, and non-linear responses), the method significantly reduced prediction errors compared to standard approaches and proved robust. This demonstrates its potential as a practical and reliable tool for accurate chemical analysis in complex matrices.

Continue ReadingKhanonkin E., Schechter I., Dattner I. (2025). Compensation for Matrix Effects in High-Dimensional Spectral Data using Standard Addition. Sensors, 25(3), 612. https://doi.org/10.3390/s25030612

Rozenkrantz L., Laskorunskyi, O., Zilcha-Mano S., Dattner I. (2025). Expectation-Updating: Understanding the Dynamics of Expectancy in Psychotherapy Outcome. Accepted to Psychotherapy Research.

The article examines the role of patients’ changing expectations about treatment outcomes in psychotherapy for depression. It shows that not only baseline expectations (before treatment starts) but also the within-person change in expectations over time independently predict treatment success. In a study of 75 patients undergoing 16 sessions of psychotherapy, greater increases in outcome expectancy were linked to faster and more substantial symptom improvement. The findings suggest that dynamic expectancy is a key factor in recovery and could serve both as an indicator of treatment progress and as a therapeutic target itself

Continue ReadingRozenkrantz L., Laskorunskyi, O., Zilcha-Mano S., Dattner I. (2025). Expectation-Updating: Understanding the Dynamics of Expectancy in Psychotherapy Outcome. Accepted to Psychotherapy Research.

Investigating Verbal and Non-Verbal Synchronization in Preschool Children

This research presents a novel and comprehensive study aimed at understanding and enhancing communication among preschool children by examining both verbal and non-verbal synchronization. Verbal synchronization refers to how individuals naturally adjust their speech patterns, including accents, intonation, and vocabulary, to align with others, while non-verbal synchronization involves coordinating physical movements, such as gestures. The study seeks to define and measure these forms of synchronization within triads of preschool children, investigate their relationship, explore their development with age, and examine their connection to communication characteristics. Additionally, the research aims to develop a synchronization index to assess communication in young children, leveraging advanced AI and machine learning techniques.

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Robust Optimization and Parameter Estimation in Queueing Networks

This project pioneers advancements in optimization and optimal control within queueing systems and queueing networks. With a focus on both optimization under uncertainty and the estimation of model parameters, we tackle the challenges posed by systems experiencing high demand for constrained resources. Our efforts seek to enhance decision-making in this complex environment by refining statistical parameter estimation techniques as well as finding solutions that are optimal under the uncertain circumstances.

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Highlights from IALP 2025

We’re so proud to celebrate our very own Dr. Itai Dattner, who was featured as a Main Report Speaker (keynote) at the 33rd World Congress of the International Association of Communication Sciences and Disorders (IALP), held August 24–28, 2025, in Malta. Dr. Dattner's lecture, titled “Artificial Intelligence and Communication Sciences and Disorders: A Bidirectional Frontier”, resonated deeply with the theme of this year’s congress- Innovation and Inspiration in Communication Sciences and Disorders (CSD). The congress brought together professionals and researchers from around the world who are dedicated to advancing the field of communication sciences and disorders. Having our lab represented on this global stage is a big moment, and we are excited to see how these conversations open doors for new ideas and collaborations. Congratulations, Itai, on this important achievement!

Continue ReadingHighlights from IALP 2025