ד"ר גד [גדי בלומרוזן] בלומרוזן

Currently:

• Research fellow, Bar Ilan University, faculty of engineering & brain sciences
• Consulting to Israeli startups in the field of biomedical signal processing and machine learning

Short Bio

• Senior scientific advisor to startup companies in the medical field (From September 2018 till now)
• Researcher @Computational biology, IBM  (August 2016- August 2018)- Assessing Kinematic features for gesture recognition, and for automatic evaluation of Parkinson disease scores
• School of Neuroscience, NYU visiting scientist, Prof. Bijan Pesaran (May 2015-April 2016, in collaboration with Tel Aviv University) - Facial Emotional recognition in Animals model
• Harvard/MGH visiting scientist, Prof. Martin Yarmush lab (May-July 2014)

Bio-Medical signal processing techniques

• Eshkol Post-Doc fellow, Computer Science department, Tel Aviv University,

Advisor Prof. Nathan Intrator (2012-2014)

• In collaboration with Dr. Meir Plotnik (2013-2014), Dr. Yossi Yovel (2012). Dr. Alex Golberg (2013-2014).
• Bio-Medical signal processing, human motion analysis, bio sonar, and EEG analysis

Education

• Phd, School of Computer Science and Engineering , Hebrew University of Jerusalem,

Supervision of Prof. Danny Dolev and Prof. Boris Rubinsky (2007-2011)

Exploitation of properties of electromagnetic radiation to extract biomedical parameters and to assess medical conditions. This work mainly focuses on exploitation of three main properties of electromagnetic radiation: electromagnetic wave propagation delay (ToA), attenuation (RSSI) and dispersion (Complex impedance).

• : “Exploitation of Electromagnetic Radiation properties for Medical Diagnostic”

• MSc in Electrical Engineering, Tel Aviv University, (2002-2005)

Supervision of Dr. Avraham Freedman.

Explored methods to exploit Channel Side Information (CSI) in Beam Forming (BF) and in Orthogonal Space Time Block Codes (OSTBC) transmissions. A simple way of approximating the optimal antenna weights (spatial filter coefficients) was suggested as a function of channel parameters.

• : “Combining Orthogonal Space Time Codes with Adaptive Beamforming”

• BSc in Electrical Engineering, Technion, Israel Institute of Technology

Areas of specialization: DSP, Communications, Image Processing and Computer Hardware.

Bio-medical engineering, Machine learning and signal processing, Activity recognition, sensor (like inertial sensors) data analysis for medical diagnostics (like Parkinson disease); Computational Neuroscience;  Medical and biological signal modeling and processing; Bio-Inspired Systems’ design;

List of Selected Publications (peer reviewed)

Biological and Medical Data Modeling and Processing

1. Blumrosen, G, Yonatn Wexler, Doron Shkolnik, and Alex Golberg. The 20th annual IEEE International Conference on Bioinformatics and Bioengineering. To apear in the Proceedings of IEEE BIBE, October 2020
2. 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).
3. 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.
4. 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 .
5. 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).
6. 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).
7. 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)
8. 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
9. 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
10. 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).
11. 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)

Human Motion and Activity Acquisition

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.
9. 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.
10. 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.

Wireless communication and wireless Sensor Network

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