Computer Sciences


10 Results were found on Technologies

Leading Researchers:


A method for processing communication traffic includes receiving an incoming stream of compressed data conveyed by a sequence of data packets, each containing a respective portion of the compressed data. The respective portion of the compressed data contained in the first packet is stored in a buffer, having a predefined buffer size. Upon receiving a […] Read More >

Leading Researchers:


Technology An interactive technique for modeling 3D man-made objects by extracting them from a single photograph is presented. The technique combines the cognitive ability of humans with the computational accuracy of the machine. To extract an object from a given photo, the user draws its part’s profile and sweeps it using simple gestures, to progressively […] Read More >

Leading Researchers:


Technology Our technology enables navigating over a collection of high dimensional entities (such as images, videos, text documents and more) in an interface similar to online map navigation interfaces. The map is ordered such that similar entities are put next to each other, so the browsing experience is continuous. It is dynamic in the sense […] Read More >

Leading Researchers:


A method of determining clusters of data within a dataset, the dataset is represented by a plurality of multidimensional data entries, the method comprises (a) spanning a space, represented by a plurality of points; (b) determining a density function over the space;(c) associating a potential to the density function; (d) locating a plurality of local […] Read More >

Leading Researchers:

Compilation Integrity Assurance through Deep Code Alignment

TECHNOLOGY & POTENTIAL APPLICATIONWe propose a completely novel approach for detecting hardware Trojans. We obtain, from the foundry or by other means the binaries. These binaries are expected to largely match the programming code provided by the hardware designer with some unavoidable additions inserted in order to support debugging, QA, and to comply with manufacturing […] Read More >

Leading Researchers:

HYDEN (HighlY DEgeNerate primers) – A Software for designing pairs of degenerate primers for a given set of DNA sequences

Overview HYDEN (HighlY DEgeNerate primers) is a program for designing pairs of degenerate primers for a given set of DNA sequences. HYDEN works well for large input sets of genomic sequences (e.g., hundreds of sequences of length 1Kbp). HYDEN is a batch (i.e., command-line, as opposed to graphical interface) program, available for Windows XP (downloadable […] Read More >

Leading Researchers:

Automatic Music Transcription in The Wild using Unaligned Supervision

We have developed a novel system that enables automatic transcription of real musical performances. The system detects in unmatched high accuracy which notes were played, at what time, and by which instrument. In other words, the system can parse the musical content from a recording with high precision in timing and instrumentation. The prediction of […] Read More >

Leading Researchers:

Explainable AI (XAI)

One important challenge in machine learning is the “black box” problem, in which an artificial intelligence reaches a result without any humans being able to explain why. This problem is typically present in deep artificial neural networks, in which the hidden layers are impenetrable. To tackle this problem, our researchers have introduced the notion of explainable […] Read More >

Leading Researchers:

A Lensless Polarization Camera

Polarization imaging is a technique that creates a pixel-map of the polarization state in a scene. Although invisible to the human eye (and for most conventional cameras), polarization can assist various sensing and computer vision tasks. Existing polarization cameras acquire the additional modality using either spatial or temporal multiplexing, which increases the camera volume, weight, […] Read More >

Leading Researchers:

Deep Cell-Type Deconvolution From Bulk Gene Expression Data

It is becoming clear that bulk gene expression measurements represent an average over very different cells. Elucidating the expression and abundance of each of the encompassed cells is key to disease understanding and precision medicine approaches. A first step in any such deconvolution is the inference of cell type abundances in the given mixture. To […] Read More >

Prof. Afek Yehuda

My research interests span the range from distributed systems to tightly coupled multiprocessors. In particular, I am interested in the theoretical study of asynchrony and its effects in systems (both shared memory and message passing based), in concurrent programming (concurrent data structures and transactional memory), and in networking (network security, protecting against denial of service […] Read More >

Prof. Applebaum Benny

An associate Professor in the School of Electrical Engineering at Tel-Aviv University. I’m mainly interested in the foundations of cryptography, as well as the practical aspects of computer security. I also have a broad interest in computational complexity and coding theory. Read More >

Prof. Cohen-Or Daniel

My research interests are in Computer Graphics, Visual Computing and Geometric Modeling and including rendering and modeling techniques, Shape Analysis, Shape Creation and Editing, 3D Reconstruction, Photo Processing, compression and streaming techniques, visibility, point set representation, morphing and volume graphics. Read More >

Prof. Deutch Daniel

Research Interests My reasearch focuses on Data Management. The high-level goals of my research are to understand, organize and analyze Data. My methodology of doing so is typically based, in part, on foundations in classic data managemant (databases), logic and probability and process analysis. Short Bio Daniel Deutch is a Associate Professor in the Computer […] Read More >

Prof. Horn David, Emeritus

Research Data mining: employing QC and DQC to investigate structures of highly complex and noisy data has proved to be very successful. Recently we have tested it on earthquake data, x-ray absorption data of micrometer structures of matter, particle physics data and more. Bioinformatics: characterization of enzymes through specific peptide motifs; functional and evolutional importance […] Read More >

Prof. Lehrer Ehud

Ehud Lehrer is a member of the  Department of Statistics and Operations Research in  Tel-Aviv University, Israel. An editor of  Games and Economic Behavior. His work deals with Game Theory, Decison Theory, Economic Theory and Probability. Publications Read More >

Prof. Matias Yossi

Research interests: Massive data sets, massive parallelism, data analysis, data streams, algorithms, databases, data structures, data synopses, approximate query processing, data mining, database privacy, internet privacy, spam control, search and information retrieval, parallel computation, data compression, hashing, database systems. information systems Read More >

Prof. Milo Tova

Fields of Interests Databases and Big Data Web data management Crowd-based data sourcing Data integration XML and semi-structured data Web services and Web applications Business Processes Database languages and data models Research Current Projects DB Group Conference Chairing and Academic Degrees Recipient of the ACM PODS Alberto O. Mendelzon Test-of-Time Award 2010 Interview ACM SIGMOD Distinguished Database […] Read More >

Prof. Pauzner Ady

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Dr. Rinetzky Noam

I am a (tenure-track) senior lecturer in the School of Computer Science at Tel Aviv University since October 2012. From October 2010 until October 2012 I was a Royal Academy of Engineering/EPSRC Research Fellow at the School of Electronic Engineering and Computer Scienceat Queen Mary, University of London, and prior to that I was a post-doctoral research associate in Peter O’Hearn’s Separation Logic […] Read More >

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