Project Gallery

New Class of Malware Will Steal Behavioral Patterns!

Computer scientists predict that a new generation of malware will mine social networks for people's private patterns of behavior.
It's not hard to find frightening examples of malware which steals personal information, sometimes for the purpose of making it public and at other times for profit. Details such as names, addresses and emails are hugely valuable for companies wanting to market their wares.

Research into the mechanisms of dissociated neural networks is an emerging topic in neuroscience. Multi Electrode Array dishes provides a powerful tool to explore the network's properties and dynamics. In this report we demonstrate a closed loop system that uses the neural tissue as a controller for navigating a robot through obstacles. The tissue is stimulated according to ultrasonic sensors on the robot and the response is analyzed according to the recruitment order of the neurons which is compared to predefined learnt words using the Levenshtein distance. The system showed collision free navigation for 25 minutes sessions and demonstrated interesting behaviors such as spontaneous neural activities that affected the steering.

The noval task we aim at in this work is to predict top terms that will prominetly appear in the future news. This is a difficult task that nobody attempted before, as far as we know. We present a novel methodology for using patterns of user queries to predict future events. Query history is obtained from web resources such as Google Trends. In order to predict whether a term will appear in tomorrow's news, we examine if the terms in today's queries indicated this term in the past. We provide empirical support for the effectiveness of our method by showing its prediction power on news archives.

In this project, under the guidance of Prof. Yoram Baram, we combine quantum computation with classical neural network theory to produce a quantum computational learning algorithm.

My goal is to design a wide-band multiple-antennas digital communication system, where the transmitter has partial information about the channel. The adaptive transmitter uses a combination of beam-forming and space-time-code, together with Orthogonal-Frequency-Division-Multiplexing, to achive better performance than current state-of-the-art communication standards.

My project focused initially on devising a method to isolate membrane proteins from seperate nerve cell cultures, and afterwards on comparing the differences between two cultures. I compared the different expression of membrane proteins in young cultures (which have very few synapses) with that of older cultures (which contain many synapses).

We attempt to analytically compute the discrete energies which allow optical excitation of carriers in semiconductor quantum dots, and their oscillator strengths. We will achieve this by solving the Schrödinger equation of a three dimensional potential well in a semiconductor. Then, the gain spectrum will be calculated for various temperatures and carrier densities.
The project is guided by Prof. David Gershoni of the Physics department (Solid State Institute).

Robust algorithms for an agent exploring an unknown environment (Machine Learning).

I am interested in both physics and medicine.
The modern medicine is depending on the new technology which depends on the physics researchs as MRI (magnatic resonance imaging) CT ,ULTRASOUND ,etc..

We are trying to study the star Eta Carinae.
The project is guided by Prof. Noam Soker from the Faculty of Physics.

- understanding of Heterojunction Bipolar Transistor (HBT)
- different models of potential barrier in base-collector hetero-junction (linear, parabolic)
- analytic and numeric solutions of 1-D Schreodinger equation (Tunneling): found a way to combine analytic and numeric.
- found new resonance effect between turning points (in the classical-forbidden area)
- calculation of electron distribution in base, given current dependency on applied bias (hot electrons vs. thermal electrons)

Yaniv Altshuler and Jonathan Laserson, both from the Program of Excellence, co-developed a unique system for gossip simulation via wireless communication, which may, in the future, solve environmental problems and coordinate between unmanned military facilities, such as small pilotless airplanes.
The project attempted to improve communication in the multiple customer nets, not connected to a central server that updates all necessary information.

The identical twins Michael and Alex Bronstein, both graduates of the Program of Excellence, were able to build a face identification system, which can distinguish even between identical twins. The system is based on creating a three-dimensional image and comparing the geometrical variables of the face as flexible surfaces.
The system has great potential for application in security facilities, which currently suffer from low reliability due to their sensitivity to lighting conditions, head posi

Research conducted by two graduates of the Program of Excellence led to deciphering the code of the international cellular telephone system GSM. A team headed by Prof Eli Biham from the Department of Computer Sciences amazed the research and industry community of code deciphering, when it demonstrated the capability of stealing calls from the net or impersonate anyone of the net customers.

A graduate of the Program of Excellence, Zvi Ben-Haim, developed a computer software for music identification in the frame of his personal project. Ben-Haim's research work, under the supervision of Dr. Dickstein and a team of researchers from the University of Tel-Aviv, consists of algorithms analyzing biological signals.
For the purpose of writing the software, Ben-Haim developed an algorithm that identifies music by analyzing the tone pitch, divides it into single notes and searches the not

A graduate of the Program of Excellence, Maria Chudnokovsky, in cooperation with her PhD instructor, Prof. Paul Seymour from Princeton University and two other mathematicians - Neil Robertson and Robin Thomas, succeeded in solving one of the most famous conjectures in the domain of Combinatorics, being a central theme in Computer Sciences. The conjecture, formulated in the sixties of the previous century by the Mathematician Claude Berge, was called "the perfect graph conjecture".

Prototype of a wearable real-time image acquisition and processing module that emulates both temporal and spatial retinal image processing and provides an activation video sequence that can be projected onto ganglion cells in the retina and thus bypass damaged photoreceptors. Under the supervision of Dr. Shy Shoham from Neural Interfaces Engineering Lab, Biomedical Engineering.
Awarded "Best Presenting Poster" at ISMBE07 conference.