Marine Technoligies Labs
Lab Leader: Prof. Tali Treibitz
The lab’s goal is to develop novel optical imaging systems and computer vision methods to explore the ocean and its inhabitants. This includes underwater image visibility enhancement and color restoration, automatic biological identification and classification underwater, 3D image reconstruction, underwater microscopy, wide scale image surveys, wide field of view fluorescence imaging and vision for autonomous vehicles. The marine imaging lab is intrigued by both the challenges in ocean research as well as the discoveries that lay behind solving them.
Research Interests:
Imaging | Underwater Sensing | Oceanic Engineering | Computer Vision | Computational Photography
Lab Leader: Prof. Roee Diamant
The Underwater Acoustics and Navigation lab (ANL), headed by Dr. Roee Diamant, is active in the fields of underwater acoustic communication networks, underwater signal detection, object classification, underwater localization, and underwater navigation. Our research interests include channel modeling, design of algorithms and protocols, analysis, and development of simulation tools. We focus on applied research and develop tools for problems like underwater mine detection, navigation without GPS, communication between divers and autonomous vehicles, classification and characterization of marine mammals and fish, tracking the motion of marine animals, and long range acoustic communication. The facilities in the lab include equipment for sea experiments, a large acoustic chamber, and a direct access to perform measurements from the lab in a testing pool and in the Shikmona reef.
Lab Leader: Dr. Itzik Klein
The new Navigation and Sensor Fusion lab’s interests lay in exploring unorthodox inertial navigation architectures, autonomous underwater vehicle (AUV) navigation, accurate low-cost navigation solutions, cooperative navigation and nonlinear estimation and deep learning for sensor fusion. Specifically, the lab works with unorthodox INS and systems with multiple IMUs, sensor fusion in AUVs, navigation using wave height estimation and more.
Lab Leader: Prof. Yizhaq Makovsky
A modern computing facility for high end geophysical processing and interpretation. This facility comprises a networked set of work stations running a wide selection of up-to-date software tools.
In particular AMEL is generously awarded with the full suite of Paradigm world leading geophysical software.
(The use of this software suite is bound by a signed sponsorship contract.)
Lab Leader: Prof. Oren Gal
Our research focuses on creating both homogeneous and heterogeneous systems, designed to perform a myriad of tasks with increased efficiency and adaptability. Through our dedicated efforts, we strive to pioneer innovations that contribute significantly to the fields of autonomy and robotic swarms, ultimately shaping the future of intelligent autonomous systems.
