Faculty & staff

Gaddi Blumrosen is a multi-disciplinary scientist, deploying advanced computational tools (signal processing, modeling, and machine learning) to develop new technologies in medicine, neuroscience, and biological modeling. 

Machine learning and signal processing, Activity recognition, Home based sensing (inertial sensors, video) for advancing the medical diagnostics in field like Parkinson disease, Cancer, and Covid-19; Computational Neuroscience in the field of ADHD, emotions, and mental diseases; Bio-Inspired Systems’ design;

Gaddi holds a PhD from School of Computer Science and Engineering , Hebrew University of Jerusalem (2012). He is currently a Senior lecturer at Holon institute of Technology, Faculty of Digital Medical Technologies & Computer science. Before this he was research associate at faculty of biomedical engineering at Bar Ilan University faculty of engineering, computational medicine at IBM research, computational neuroscience at New York University, cancer research at Harvard medical school, and faculty of computer science at Tel Aviv University. 

• 2021, Introduction to Statistics and machine learning , Tel Aviv University 
• 2021, MsC seminar, computer science, HIT
• 2022, machine learning, faculty of digital medical technologies, HIT
• 2022, sensing, monitoring, and medical condition assessment at home environment, faculty of digital medical technologies, HIT

Details of the publications in google scholar: https://scholar.google.co.il/citations?user=gaddiblumrosen

• Varon, E*., Blumrosen, G*., and Shefi. “A Predictive Model for a Personalized Nanotechnology-Radiation Cancer Treatment”, submitted 

1. Lazebnik, Teddy, and Gaddi Blumrosen. "Advanced Multi-Mutation With Intervention Policies Pandemic Model." IEEE Access 10 (2022): 22769-22781.
2. Varon, E., Blumrosen, G., Sinvani, M., Haimov, E., Polani, S., Natan, M., Shoval, I., Jacob, A., Atkins, A., Zitoun, D. and Shefi, O., 2022. An engineered nanocomplex with Photodynamic and Photothermal synergistic properties for cancer treatment. International Journal of Molecular Sciences, 23(4), p.2286. 
3. Blumrosen, G., Wexler, Y., Shkolnik, D. and Golberg, A., 2020, October. Efficient Modeling of Plant Short and Long Term Behavioral Responses to a Stimuli. In 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (pp. 342-348). IEEE. 
4. Blumrosen, G. (2019b). Enhancing Healthcare Quality with Reinforcement Learning Modeling. Proceedings of IEEE Sensors, 2019-Octob. https://doi.org/10.1109/SENSORS43011.2019.8956903, . (2019).
5. Yaron Lavi, Dror Birnbaum, Or Shabtai, Gaddi Blumrosen , “Bio-Metric System based on Kinect Skeleton, Facial, and Vocal Features”, Advances in Intelligent Systems and Computing, Springer, 2018.
6. Gaddi Blumrosen, David Hawellek, and Bijan Pesaran, “Towards Automated Recognition of Facial Expressions in Animal Models Blumrosen”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2810--2819, 2017 .
7. Blumrosen, G*., Abazari, A*., Golberg, A*., Yarmush, M. L. & Toner, M. Single-step electrical field strength screening to determine electroporation induced transmembrane transport parameters. Biochim. Biophys. Acta - Biomembr. 1858, 2041–2049 (2016).
8. Amichai, E*., Blumrosen, G*. & Yovel, Y. Calling louder and longer: how bats use biosonar under severe acoustic interference from other bats. Proc. R. Soc. B 282, 20152064 (2015).
9. Khan, Saiqa I*; Blumrosen, Gaddi*; Vecchio, Daniela*; Golberg, Alexander; McCormack, Michael C.; Yarmush, Martin L.; Hamblin, Michael R.; Austen, W. G. . Eradication of multidrug-resistant pseudomonas biofilm with pulsed electric fields. Biotechnol. Bioeng. n/a–n/a. doi:10.1002/bit.25818 (2015)
10. Blumrosen, G*., Abazari, A*., Golberg, A., Tonner, M. & Yarmush, M. L. Efficient Procedure and Methods to Determine Critical Electroporation Parameters. in 2014 IEEE 27th International Symposium on Computer-Based Medical Systems 314–318 (IEEE, 2014). doi:10.1109/CBMS.2014.18, 2014
11. Blumrosen, Gaddi;Porrat, Dana;Rubinsky, Boris; Dolev, D. Exploitation of electromagnetic radiation properties for medical diagnostic. in 2011 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS 2011) 1–7 (IEEE, 2011). doi:10.1109/COMCAS.2011.6105853, 2011
12. Gonzalez, C. a., Blumrosen, G. & Rubinsky, B. Remote Monitoring of Internal Bleeding Based on Magnetic Induction and Cellular Phone Technology : A Potential Application in Poor Regions in México. Comput. y Sist. 14, 187–195 (2010).
13. Blumrosen, G., Gonzalez, C. a. & Rubinsky, B. New wearable body sensor for continuous diagnosis of internal tissue bleeding. Proc. - 2009 6th Int. Work. Wearable Implant. Body Sens. Networks, BSN 2009 120–124. doi:10.1109/BSN.2009.15, (2009)

1. Blumrosen, G., Sakuma, K., Rice, J. J., & Knickerbocker, J. Back to Finger-Writing Fingertip writing technology based on pressure sensing. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2020.2973378 (2020)
2. Katsuyuki, S., Blumrosen, G., Rice, J. J., Rogers, J., & Knickerbocker, J. (n.d.). Turning the Finger into a Writing Tool. IEEE EMBS 2019.
3. Katsuyuki Sakuma, Avner Abrami, Gaddi Blumrosen, Stanislav Lukashov, Rajeev Narayanan, Joseph W. Ligman, Vittorio Caggiano & Stephen J. Heisig “Wearable Nail Deformation Sensing for Behavioral and Biomechanical Monitoring and Human-Computer Interaction”, scientific reports, December 2018
4. Blumrosen, G, Miron, Y, Intrator, N,  and Plotnik, M,”A Real Time Kinect Signature Based Patient Kinemetics Analsyis At Home”, Sensors 2016, 16(11), 1965; doi: 10.3390/s16111965, 11/2016.
5. Blumrosen, G, Miron, Y, Plotnik, M, and, Intrator, N, "Towards a real time kinect signature based human activity assessment at home." 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN). IEEE, 2015.
6. Blumrosen G, Fishman B, Yovel Y: Non-contact Wideband Sonar for Human Activity Detection and Classification. IEEE, Sensors, 2014.
7. Blumrosen G, Luttwak A: Human body parts tracking and kinematic features assessment based on RSSI and inertial sensor measurements. Sensors 2013, 13(9):11289-11313, 2013.
8. Blumrosen G, Uziel M, Rubinsky B, Porrat D: Noncontact Tremor Characterization Using Low-Power Wideband Radar Technology. Biomedical Engineering, IEEE Transactions on March, 2012, 59(3):674-686.\Blumrosen G, Avisdris N, Kupfer R, Rubinsky B: C-SMART: Efficient Seamless Cellular Phone Based Patient Monitoring System. Proccedings of IEEE IREHSS 2011 : Third IEEE Workshop on Interdisciplinary Research on E-health Services and Systems 2011.
9. Blumrosen G, Uziel M, Rubinsky B, Porrat D: Non-Contact UWB Radar Technology to Assess Tremor. The 12th Mediterranean Conference on Medical and Biological Engineering and Computing Proceedings 2010.

1. Blumrosen, G. Enhancing Tracking Accuracy with Exploitation of Mobile Unit Orientation and Antenna Pattern. 1–6. https://doi.org/10.1109/comcas44984.2019.8958436 (2019)
2. Blumrosen, G*., Hod, B*., Anker, T., Dolev, D. & Rubinsky, B. Enhanced calibration technique for RSSI-based ranging in body area networks. Ad Hoc Networks 11, 555–569 (2013).
3. Blumrosen, G*., Hod, B*., Anker, T., Dolev, D. & Rubinsky, B. Enhancing RSSI-based tracking accuracy in wireless sensor networks. ACM Trans. Sens. Networks 9, 1–28 (2013).
4. Blumrosen, G., Hod, B., Anker, T., Dolev, D. & Rubinsky, B. Continuous Close-Proximity RSSI-Based Tracking in Wireless Sensor Networks. in 2010 International Conference on Body Sensor Networks 234–239 (IEEE, 2010). doi:10.1109/BSN.2010.36 (2010)
5. Blumrosen, G. & Fridman, V. Simple ML optimal transmission for OSTBC combined with beamforming in Rayleigh and Rician channels. 23rd IEEE Conv. Electr. Electron. Eng. Isr. 88–91 (2004). doi:10.1109/EEEI.2004.1361095 2004
6. Blumrosen, G. & Freedman, A. Sensitivity Study and a Practical Algorithm for ML OSTBC and Beamforming Combination. in (IST), 2004.

*equal contribution 

• “Estimation of performance score using single camera video”, under processing
• “POSTURE DETECTION DEVICE AND SYSTEM”, under processing
• Writing recognition using wearable pressure sensing device, Patent number: 10878231
• WRITING RECOGNITION USING WEARABLE PRESSURE SENSING DEVICE, Publication number: 20190347479
• Method and system for activity detection and classification, Publication number: 20140266860