Research & Educational Labs

Image Processing Laboratory Academic.

Supervisors: Prof. Nahum Kiryati, Prof. Shai Avidan

Lab Engineer: Ms. Ofira Dabah

Location: Kitot (Classrooms) building, room 203 Phone: 5485

The educational Image Processing Laboratory supports courses in the field of image processing, including the course "Image Processing" and the course "Advanced Laboratory in Image Processing".

The power electronics for renewable energy lab.

The lab of Prof. George Weiss.

Instructor: Arkadiy Rafalovich

Location: Programming building room 313

The objective of the power electronics for renewable energy Lab is to develop technologies for the grid integration of distributed energy sources (in particular, green energy sources) and storage stations, including vehicle charging stations. So far, the main topics in this lab have been DC power filters, that reduce voltage ripple on the DC bus of energy sources without the need for very large capacitors, and the development of virtual synchronous machines (VSM). In the future, we intend to build experimental microgrids that will include the locally developed VSM as well as other energy AC sources and loads, in order to study the stability of microgrids entirely supplied by inverters. Our group is very active in producing new results, publications and patents.

Advanced Computer Structure Lab - Prof. Dana Ron-Goldreich & Prof. Guy Even
Instructor: Mgr. Eng. Marko Markov
Location: room 204, Classes building, Faculty of engineering

Lab consists of lectures and lab meetings.
Main points in the syllabus:
Introduction to computer aided hardware design, simulation and hardware debugging.
Design, implementation and hardware debug of a simple RISC processor using target FPGA board.
Acquaintance with basic components of the computer structure: bus and bus protocol, main memory, data path, control state machine, RTL and ISA.
The Lab's grade is based on preliminary reports, post lab assignments and two short quizzes.

The lab deals with advanced model-driven and data-driven signal processing techniques for environmental monitoring

Prof. Hagit Messer-Yaron

Instructor: Dr. Jonatan Ostrometzky

Location: room 110

In 2006 our research group pioneered the use of existing physical measurements in wireless communication systems for opportunistic weather monitoring. Our Lab has been active since then, receiving data and measurements from cellular companies in Israel (Cellcom™, Pelephone™ and PHI™), and from Smart Cities operators (SMBIT™). We also collaborate with manufacturers of Commercial Microwave/mmWave Links (CMLs) such as Ericsson™, Ceragon™ and Siklu™. Our research is focused on the relationship between CMLs and environmental phenomena, such as the weather. We develop algorithms to process our unique data collection for detection, classification, estimation, and mapping of such phenomena, and also study how the same phenomena affect communication channels.

Advanced Laboratory in Computer Communication - Boaz Patt Shamir
Credit: 1.5 points
COURSE DESCRIPTION:
Prerequisites: Introduction to computer networks (or equivalent). The goal of the lab is to reinforce the knowledge acquired in class by experiencing computer networks from the viewpoint of network design and management, and from the viewpoint of network software implementation. The lab consists of two parts. The first part comprises experiments, in a few levels of abstractions, over a network simulator. The second part is writing software to partially implement the TCP/IP protocol stack. The lab includes around six assignments, with a class meeting before each of them.

Homework is carried out in pairs, using software tools that can be installed on a personal computer.
Textbook: Computer Networks: A Systems Approach (3rd edition, 2003), by Larry Peterson and Bruce Davie

Autonomous Drones Lab - Prof. Benzion Bobrovsky

Instructor: Yonatan Mandel
Location: Wolfson 09

In the Autonomous Drones Lab, at Tel Aviv University, we research, develop and implement solutions for autonomous navigation in GPS denied environments.
These include:
SLAM (Simultaneous Localization and Mapping) for all kinds of environments (indoors, outdoors, forests, caves, etc)
Collaborative SLAM
Sensor Fusion for improving SLAM results
Implementation on Edge Computing devices (Jetson, Intel, Qualcomm, Odroid)
Deep learning algorithms, used for: obstacle avoidance, object detection and tracking, feature point extraction
Leveraging and fusing new kind of sensors: DVS (Event-based camera), TOF 3D sensors

In order to validate our solution, we work mainly on prototype drones to achieve a "quick and dirty" integration between the hardware, software and the algorithms (control, vision, learning).

The following videos demonstrate our work:

Advanced Microwave Lab - Eli Gerby

Instructor: Yoav Shoshani

Course requirements: Microwave Engineering
The lab consists of 13 experiments that include: Wave propagation, Microwave measurements, Passive microwave devices for waveguide, Microwave sources, Microwave detectors and mixers, Impedance matching, Microwave amplifiers, Microwave devices for microstrip circuits, Design and construct passive microwave components on microstrip, Dielectric constant measurements, Antennas and radiation, Radar applications, Communication applications (optional).

Required course reading:

R. E. Collin, “Foundation for Microwave Engineering,” McGraw Hill, 1992 or 2000 edition.
D. M. Pozar, “Microwave Engineering,” Wiley, 2005.

Autonomous Car Lab. Academic Supervisor: Prof. Ben-Zion Bobrovsky

Lab. Engineer: Roi Raich
Location: The engineering faculty parking area

The Autonomous Car Lab was founded in 2020 in the Faculty of Engineering and in collaboration with Israel Aerospace Industry, which continues to support it. The purpose of the laboratory is to train the future generation of engineers in the developing field of autonomous driving. Fourth-year projects in the field of autonomous systems are conducted in the laboratory. A course on the subject for graduate students, cooperating with the lab. is also given. The laboratory is composed of a standard passenger vehicle, on which advanced systems, based on a variety of sensors are installed, such as cameras, navigation sensors, radar, and LIDAR, all with the aim of producing autonomous driving capabilities. The students are engaged in the implementation and development of advanced algorithms for collecting, monitoring and classifying the information received by the sensors in order to develop algorithms for autonomous driving.
The laboratory was established with the aid of the Alternative Fuels Administration at the Prime Minister's Office and the Shlomo Schmelzer Institute for Smart Transportation at the University.

Electronics- Laboratory (3) .
Academic Supervisor: Prof. Ofer Amrani

Lab Engineer: Alon Dahan

Location: Wolfson Building, room 306.

The Electronics Lab. (3) trains our undergrad students in designing and building fundamental digital electronic circuits while performing rigorous experiments and gaining basic knowledge in digital electronics. Moreover, the lab provides the students with the know-how required to use modern electronic instrumentation.
The students experiment with: basic integrated circuits; counters; decoders; multiplexers and de-multiplexers; bi-stable, mono-stable and a-stable circuits; shift registers; memory components; A/D and D/A converters. In addition, the students learn about FPGA by carrying out Verilog projects.