Short bio:
M.Sc student

Research Interests:
ML – based Wi-Fi Fingerprinting, using Shadow Matching for accurate positioning in urban environments.

Short bio:
M.Sc student

Research Interests:
RNN-based method for personalized semantic place classification using Wi-Fi.

Short bio:
I’m a PhD student in the Technion institute.  I have been doing research since 2015 about navigation and routing capacities for blind pedestrians based on crowd-sourced maps, supervised by Dr. Sagi Dalyot from Technion and Prof.  Shiri Azenkot from Cornell Tech.

Research interests:
My research focuses on navigation and routing capacities and solutions for blind pedestrians based on crowdsourced maps. I am currently investigating and developing accessibility models of cities related to pedestrians with visual impairments, under the supervision of Dr. Sagi Dalyot and Dr. Asya Natapov (School of Architecture, Building and Civil Engineering, Loughborough University).

Short bio:
I am a last year PhD student at The Technion – Institute of Technology at the Department of Geo-information and Mapping Engineering. I am conducting a research on multi-dimensional land management systems (MLMS) under the supervision of Assistant Prof. Sagi Dalyot and Prof. Yerach Doytsher. My research aims to investigate and develop algorithms, models, and processes for expanding existing 2D land management systems into MLMS (including the dimensions of height, time and Level of details). Theoretical and conceptual aspects are also part of my research, in which I try to scientifically understand the perspective of diverse stakeholders and experts who may use LMS, as well as mapping their requirements and expectations from the LMS in order to fit the technical development for their purposes. In addition, I investigate the ethical dilemmas related to data collection and the integration of VGI in MLMS.

Postdoctoral Research interests:
Multi-Dimensional and Multi-Purpose Land Management systems, 5D Cadastre, Land law and economy, Spatial data and functionalities, Topology Data Structure, Systematic analysis of processes.

Short bio:
I’m a PhD student at the Mapping and Geo-Information Department. My research is about computing tourism routes based on data mining of crowdsourced geotagged data, supervised by Dr. Sagi Dalyot from the Technion. In our research we are developing automatic classification methods of crowdsourced data contributors. In addition, different tourism route computation algorithms are developed, integrated and analyzed.

Research interests:
Location based services (LBS), crowdsourced data, routing and GIS.

Short bio:
First year PhD student in the field of mapping and Geo-Information Engineering. Experienced research & development team manager with a demonstrated history of working in the military industry. Currently writing my thesis over the subject of “Geospatial databases enrichment by literal descriptions of places to improve geographic information retrieval” under the guidance of Associate professor Sagi Dalyot

Research interests:
Geographic Information Retrieval (GIR), machine learning, Geo-data science, Geo-localization, indoor and outdoor mapping, INS, digital elevation models, SAR, points clouds, image analysis, photogrammetry and remote sensing.

Third year M.Sc. student in the field of mapping and Geo-Information Engineering.
Currently writing my thesis over the subject of “Analyzing route preference of electric scooters and electric bicycles based on semi-supervised deep learning travel mode detection model” under the guidance of Associate professor Sagi Dalyot.

My research focuses on analyzing emerging vehicles road traffic – electric scooters and electric bicycles – for understating route preference and behavior of various road users. In this research, I aim to develop a semi-supervised deep learning travel mode detection model. My objective is to better understand road network usage and traffic to plan and design road infrastructure for better safety of pedestrians and emerging transportation.