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CURRICULUM VITAE
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Education |
1993 Ben-Gurion University of the Negev Beer-Sheva, Israel B.Sc. Industrial Engineering and Management (Information Systems) Final Project: Master Plan for Information System in Publishing house. Advisor: Dr. Ran Giladi. 1996 Ben-Gurion University of the Negev Beer-Sheva, Israel M.Sc. Business and Management 2003 Ben-Gurion University of the Negev Beer-Sheva, Israel Ph.D. Industrial Engineering and Management (Human Performance/Human Factors Engineering) Ph.D. Thesis: Scheduling of Activities and Responding to Alarms in the Control of a Complex System. Advisors: Prof. David Shinar, Prof. Ehud Zmora, and Prof. Joachim Meyer. Developed and tested a conceptual model that describes operators’ work in complex environments. As test case for the model served the work of nurses in a neonate intensive care unit. Dissertation title: Scheduling of Activities and Responding to Alarms in the Control of a Complex System. |
Employment History |
2015–present Ben-Gurion University of the Negev Beer-Sheva, Isael
Senior Lecturer, Department of Industrial Engineering & Management 2003–2015 70-Trees Tel-Aviv, Isael / Chicago, IL, USA Independent Management Consultant 2000–2003 Babylon.com Or-Yehuda, Israel Vice President of Operations 1998–2000 Sivan Training and Systems LTD. Tel-Aviv, Isael Chief Technology Officer and Business Development 1996–1998 Mentortech Inc. (Mashov) Or-Yehuda, Israel/New-York, NY, USA Vice President of Development and Operations 1993–1996 Bitan United Multimedia LTD. Tel-Aviv, Isael Co-Founder and General Manager 1991–1993 Ofek Technology Consulting LTD. Nes-Ziona, Isael Human Factors Engineer |
Research Positions |
2016- present University of Toronto Toronto, ON, Canada
Assistant Professor (status only), Department of Mechanical & Industrial Engineering 2015 University of Toronto Toronto, ON, Canada Post Doctoral Fellow – Department of Mechanical & Industrial Engineering 2013–2015 University Health Network Toronto, ON, Canada Research Associate – HumanEra 2004–2006 University of Chicago Chicago, IL, USA Research Associate – Cognitive Technologies Laboratory 1998–2001 Ben-Gurion University of the Negev Beer-Sheva, Isael Cordinator of Laboratory and Field Research 1990–1993 Ben-Gurion University of the Negev Beer-Sheva, Isael Research and Teaching Assistant |
Courses Taught |
Ben-Gurion University of the Negev Beer-Sheva, Israel
2012–present Department of Health Systems Management Implementing Human Factors in the Healthcare, M.A. 2015–present Department of Industrial Engineering and Management Introduction to Decision Making, B. Sc. 2015–present Department of Industrial Engineering and Management Human Computer Interaction, B. Sc. 2018–present Department of Industrial Engineering and Management in collaboration with McGill University, Montreal, Canada Technology Business Plan Project, B.Sc. Tel Aviv-Yaffo Academic College Tel-Aviv, Israel 2013 Department of Information Systems Management Man-Machine Interface, B.A. |
Research Students - M.Sc. |
Gal Hever - Algorithm Comparison of Process Control for Reducing ICU False Alarms. Graduated 2018.
Greg Fukakusa - Optimizing the Design of Visual Patterns for Medication Label Design. Graduated 2018. Co-Advisor: Prof. Paul Milgram. Omer Peri – Decisions under uncertainty - Evaluating emergency services dispatchers decision making. Graduated 2018. Co-Advisor: Prof. Zilla Sinuany-Stern. Tamari Levis - How triage nurses think - Nurses triage decision making in the emergency department. Graduated 2018. Co-Advisor: Dr. Dagan Schwartz. Oren Kramer – The Impact of Data Quality on Decision-Making in Intensive Care Unit. Graduated 2019. Co-Advisor: Dr. Adir Even. Ela Liberman Pincu – Clinicians' interaction with autonomous medical system. Graduated 2019. Yarden Levi - An Impact-Driven Approach to Assess User Stories. Graduated 2019. Co-Advisor: Dr. Roni Stern and Dr. Arnon Sturm. Abed El Hamid Fahoum – Pattern clustering to improve medication safety. Graduated 2020. May Gellert – Nurses interactions with bedside alarms in inrensive care units. In progress. Maya Kaplansky – Using machine learning to arrange the information clinicians need to see on their medical devices. In progress. Co-Advisor: Dr. Yakir Brechenko. Avinoam Lichtentadt – Apparatus that use deep learning to identify medication containers. In progress. Co-Advisor: Dr. Aharon Bar-Hillel. Omer Katzburg – Clinicians collaboration with future Artificial intelligence systems. In progress. Juda Nathan - User Interface in active learning. In progress. Co-Advisor: Dr. Jonathan Rosenblatt. |
Research Students - Ph.D. |
Simona Cohen Kadosh - Emergency Medical Services preparedness for major earthquakes. In progress. Co-Advisor: Prof. Zilla Sinuany-Stern.
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