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Gaddi Blumrosen
Gaddi Blumrosen is the head of AI-Medical sensing and diagnostic lab at HIT, where he serve also as senior lecturer (assistant professor) at the faculties of computer science, and digital medical technologies (https://www.hit.ac.il/en/faculty_staff/Gaddi_Blumrosen)
He also serve as the director of machine learning at the school of computer science at HIT, and editor of the special issue of Wearable Sensing of Medical Condition at Home Environment
Gaddi is a multi-disciplinary scientist, and tries to deploy in his lab advanced computational tools (signal processing, modeling, and machine learning) to develop new technologies, and explore different aspects of engineering, biology, medicine, and neuroscience.
His main area of research is sensing (wearable sensors, inertial sensors, tactile sensors, EEG, sonar, radar and video\optical sensing), signal processing, enhanced biomedical modeling, and medical condition assessment and prediction (Parkinson disease, Cancer, and viral infection).
He holds more than 36 peer reviewed publications, and 4 patents in these fields.
He is currently an senior lecturer (assistant professor) at the Medical Digital Technologies Faculty, and the computer science department at the Holon Institute of technology (HIT), where he develop new sensing and analysis techniques to enhance medical diagnosis accuracy for different medical conditions. Before this he was a senior researcher in the faculty of engineering at Bar-Ilan university, Israel (https://engineering.biu.ac.il/en/, 2019-2021), and teaching machine learning and statistics in Tel Aviv University for a Master degree program.
In addition to his academic career, he contribute to leading industrial companies where he serves as an advisor in the field of modeling and algorithm in machine learning, and serves in editorial board of some leading journal.
Previously, he was a researcher at the Computational Biology Center at IBM research (Yorktown, NY, USA), where he explored Brain-machine interface and developed methods to enable writing with a finger, and explored ways to predict Parkinson diseases severity from inertial sensing measurements. Prior to IBM, Gaddi explored facial expression gestures in NYU, Computational Neuroscience department (Prof. Bijan Pesaran, https://pesaranlab.org/people/gaddi-blumrosen/, 2015-2016), developed some new ways to develop new technology in cancer research using electroporation at Harvard MGH (2014, Prof. Martin Yarmush and Prof. Alexander Golberg group), and developed new ways to asses patient condition at home using Microsoft Kinect at Tel aviv University and Shiva hospital (Prof. Nathan Intrator, and Dr. Meir Plotnick), and developed new audio analysis tools to asses different activities in sonar, and to analyze animal behavior
He holds PhD from Hebrew University in Biomedical and Computer science (2007-2011), where he focused on wearable sensing modalities to asses human motion analysis, Master degree in electrical engineering from Tel Aviv University, and Bachelor degree in electrical engineering from Technion, (Israel institute of technology).
In addition to his academia work, Gaddi work and consult to different startups in the field of machine learning, algorithms, computer vision, and medical analysis.
Phone: +972-54-2286420
He also serve as the director of machine learning at the school of computer science at HIT, and editor of the special issue of Wearable Sensing of Medical Condition at Home Environment
Gaddi is a multi-disciplinary scientist, and tries to deploy in his lab advanced computational tools (signal processing, modeling, and machine learning) to develop new technologies, and explore different aspects of engineering, biology, medicine, and neuroscience.
His main area of research is sensing (wearable sensors, inertial sensors, tactile sensors, EEG, sonar, radar and video\optical sensing), signal processing, enhanced biomedical modeling, and medical condition assessment and prediction (Parkinson disease, Cancer, and viral infection).
He holds more than 36 peer reviewed publications, and 4 patents in these fields.
He is currently an senior lecturer (assistant professor) at the Medical Digital Technologies Faculty, and the computer science department at the Holon Institute of technology (HIT), where he develop new sensing and analysis techniques to enhance medical diagnosis accuracy for different medical conditions. Before this he was a senior researcher in the faculty of engineering at Bar-Ilan university, Israel (https://engineering.biu.ac.il/en/, 2019-2021), and teaching machine learning and statistics in Tel Aviv University for a Master degree program.
In addition to his academic career, he contribute to leading industrial companies where he serves as an advisor in the field of modeling and algorithm in machine learning, and serves in editorial board of some leading journal.
Previously, he was a researcher at the Computational Biology Center at IBM research (Yorktown, NY, USA), where he explored Brain-machine interface and developed methods to enable writing with a finger, and explored ways to predict Parkinson diseases severity from inertial sensing measurements. Prior to IBM, Gaddi explored facial expression gestures in NYU, Computational Neuroscience department (Prof. Bijan Pesaran, https://pesaranlab.org/people/gaddi-blumrosen/, 2015-2016), developed some new ways to develop new technology in cancer research using electroporation at Harvard MGH (2014, Prof. Martin Yarmush and Prof. Alexander Golberg group), and developed new ways to asses patient condition at home using Microsoft Kinect at Tel aviv University and Shiva hospital (Prof. Nathan Intrator, and Dr. Meir Plotnick), and developed new audio analysis tools to asses different activities in sonar, and to analyze animal behavior
He holds PhD from Hebrew University in Biomedical and Computer science (2007-2011), where he focused on wearable sensing modalities to asses human motion analysis, Master degree in electrical engineering from Tel Aviv University, and Bachelor degree in electrical engineering from Technion, (Israel institute of technology).
In addition to his academia work, Gaddi work and consult to different startups in the field of machine learning, algorithms, computer vision, and medical analysis.
Phone: +972-54-2286420
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In this video we give preliminary tools, and discussion on ways to quantify these questions
We demonstrate the tools with experiments using electrical stimulation and examining the plant response
In this video we give preliminary tools, and discussion on ways to quantify these questions
We demonstrate the tools with experiments using electrical stimulation and examining the plant response