Shlomi Laufer received a B.Sc degree in Electrical Engineering (summa cum laude) from the Technion, Israel Institute of Technology in 2004 and a PhD in Bio-Engineering under the supervision of Prof Boris Rubisnky from Hebrew University, Jerusalem in 2012. Before pursuing his Ph.D. he worked for two years as an algorithm engineer in Mobileye. Following his PhD he completed a post-doc as a research scientist at the University of Wisconsin with a joint appointment in the Department of Surgery and in the Department of Electrical Engineering. Shlomi joined the Faculty of Industrial Engineering and Management at the Technion as a senior lecturer in 2018.

Shlomi’s research focuses on the use of advanced sensor- and video-technologies, as well as data-analysis techniques to measure human performance and work study. A special emphasis is given to automatic assessment and measurement of clinical and surgical proficiency.

Selected Publications

  1. Laufer, S., Cohen, E.R., Kwan, C., D'angelo, A.L., Yudkowsky, R., Boulet, J.R., Mcgaghie, W.C., and Pugh, C. M. (2015). "Sensor technology in assessments of clinical skill." New England Journal of Medicne. 372(8):784-6.
  1. Laufer, S., Pugh, CM., and Van Veen. B. (2017) ”Modeling touch and palpation using auto regressive models.” Accepted to IEEE Transactions on Biomedical Engineering.
  1. Laufer, S., D’Angelo, A.L.D., Kwan, C., Ray, R.D., Yudkowsky, R., Boulet, J.R., McGaghie, W.C. and Pugh, C.M., (2017). “Rescuing the Clinical Breast Examination: Advances in Classifying Technique and Assessing Physician Competency.” Annals of Surgery. 266 (6), 1069-1074
  1. Azari, D.P., Pugh, C.M., Laufer, S., Kwan, C., Chen, C.H., Yen, T.Y., Hu, Y.H., and Radwin, R.G.(2015) "Evaluation of simulated hands-on clinical breast exam performance using marker-less video tracking."  Human Factors. 58(3):427-440. 
  1. Laufer, S., Rasske, K., Stopfer, L., Kurzynski, C., Abbott, T., Plantner, M., Towles, J., and Pugh, CM.(2015). “Fabric force sensors for the clinical breast examination simulator.” Studies in health technology and informatics. Los-Angeles, California, 220: 193-198. 
  1. D’Angelo, A.L.D., Rutherford, D.N., Ray, D.D., Laufer, S., Mason, A., Pugh, C.M. (2015). "Working volume: Validity evidence for a motion based  metric of surgical efficiency." American Journal of Surgery. 221(2):445-450.


Time & Motion Analysis

Assessment of clinical Skill

Medical simulators

Wearable Sensors

Contact Info

Room 515 Bloomfield Building