Curriculum Vitae
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Curriculum Vitae

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  • Curriculum Vitae Software engineer (Algorithm), Physicist, Statistician 14/8 Nahal Soreq street, Modi'in, Israel Tel: 08-9705640, 052-2813942 E-mail: gleshem@cc.huji.ac.il Url: http://shum.huji.ac.il/~gleshem Personal data: Full Name: Guy Leshem Place of Birth: Kibbutz Ein Gav, Israel. Birthdate: Aug-24-1963 Nationality: Israeli, German. Marital status: Married to Shirely, Father to Shani. Pets: Snow (Dog). Address for Correspondence: Department of Statistics The Hebrew University of Jerusalem Mount Scopus, Jerusalem 91905 ISRAEL Highlights: • PhD thesis that dealing with a new algorithm (development) in Statistics Machine learning (based on Adaboost and Random Forest), Machine Vision (based on Traffic Surveillance) and Operational Research (based on "Queuing systems consisting of N queues served by a single server"). Obtained in Nov 2002 from Hebrew university of Jerusalem. • MS.c. laboratory work on: "Computer Add Surgery Development new algorithm for reconstruction of 3D shapes views and statistical model". • Ten years working as a networking engineer for Intel on the development of a new GUI for networking configuration, Advance Network Server (ANS), SNMP drivers on Linux OS. • Statistical Adviser (Working at Applied Statistics Laboratory) for number of commercial companies and academic researcher. • Wide-ranging experience in tutoring and teaching with a good record of motivating, challenging and supporting students. • Creative, versatile and communicative. • Two languages spoken fluently. • Battalion Commander in army reserve (degree Lieutenant Colonel).
  • Professional Experience: Work Experience: • 10 years work experience in Intel as Software Engineer and Process Engineer: • Software Engineer in Intel IDC (networking Group), dealing with the development and testing of adapters drivers for Linux / UNIX Os. The projects that I deal as following: 1. Development of a new GUI for networking configuration of Linux server for Dell Corporation. This GUI (PROCfg) is a reporting and configuration tool for Intel adapters and Intel Advanced Network Services (iANS). It works with the Intel drivers and running Linux. 2. Development of Advance Network Server (ANS) (teaming of number of adapters) for UNIX Os (SCO). This tool support the following teaming modes: Adapter Fault Tolerance, Switch Fault Tolerance, Adaptive Load Balancing etc. 3. Development SNMP drivers on Linux Os for communication between Linux server and windows client with MG-Soft. This SNMP agent extension extends the UCD-SNMP agent for Linux the SNMP protocol. It provides information on the Intel the adapter drivers, teaming (Advanced Network Services (ANS) and VLANs,). On a human and organizational level, the experience at Intel gave me a first-hand impression of various leadership styles and of the difficulties that can occur when managing technical development projects. • Process Engineer in Intel, dealing with development of a new process for chips manufacture, control on the existing process and analysis of end of line data (E-test, Sort), 1993 – 1999. • Statistical Adviser • Working at "Applied Statistics Laboratory" on numbers of project for commercial companies and academic researcher. At this lab I’m working on research project of MA/PhD students from the design to the final analysis under the supervision of Prof. Ya'acov Ritov, 2004-2005, and on projects for commercial companies under the supervision of Dr. Ronit Nirel (2006-2007) • Teaching Experience: Courses taught: Introduction to Statistics (for non-statisticians) (2006). PROGRAMMING FOR STATISTICAL APPLICATONS (2007).
  • Other: Teaching Assistant for Professor Leo Joskowicz, Robotics II, 1998. Teaching Assistant for Dr. E. Zuchbistky, Matrices and Vector, 2002. Teaching Assistant for Professor David Zucker, Regression and analysis, 2002 • Academic Experience: 1. Doctorate research, My PhD study include development a new algorithm for improving the accuracy of algorithms for learning binary concepts. The improvement is achieved by combining Random forests algorithm into AdaBoost as weak learner. Random forests are a combination of tree predictors, where each tree in the forest depends on the value of some random vector ‫ ,ט‬so this weak learner expect to be more “strong” and more accuracy, since 2003. Additionally, my Ph.D. thesis also include the development of two new algorithm, the first deal with real-time image processing of video stream for car tracking in traffic video and the second with Operational Research model "Queueing systems consisting of N queues served by a single server". 2. Master degree at the Computer Science institute Hebrew University. Work on Image protocol and developing of Generic hardware, algorithms, and protocols that will allow the accurate registration as a Lab study, 1999 – 2003. The project that I deal with was developing innovative computer-based methods for assisting surgeons in the planning, execution, and evaluation of surgical procedures based on medical images. 3. Master Work "Developing of a Room Temperature KLAN Pyroelectric Detectors Array for Thermal Imaging at the Graduate school of applied science & Technology", 1993 – 1996. The project that I deal with was developing new thermal imaging technology based on room temperature KLAN Pyroelectric detectors array. The principal technical features were (1) Long-wavelength IR operation. (2) Room temperature KLAN Pyroelectric detectors array. (3) Applied electronic field to boost responsivity and provide stability. (4) Use of mechanical chopper for field-difference processing. (5) Bump bonding of detector to readout the electric signal. Education: 2003 - 2007 : Ph.D. study at the Statistic department in Hebrew university of Jerusalem. The Ph.D. subject: "Improvement of Adaboost Algorithm by using Random Forests as Weak Learner and using this algorithm as statistics machine learning for traffic flow prediction" under the supervision of Prof. Ya'acov Ritov. • Thesis Topic: Advance technologies in identification and prediction of urban traffic for the prevention of traffic violation and accidents (Improvement of Adaboost Algorithm by using Random Forests as Weak Learner and using this algorithm as statistics machine learning for traffic flow prediction).
  • • Principal Thesis Advisors: Prof. Yaacov Ritov. • Major Fields of Interest: Development algorithm for Statistics Machine learning, Machine Vision Based Traffic Surveillance and Operational Research model "Queueing systems consisting of N queues served by a single server". 1999-2003: M.Sc. study in Hebrew university of Jerusalem at the Computer Science department, part of the time guidance by Prof. Leo Juscovitch. The M.Sc. study includes laboratory work on: "Computer Add Surgery Development new algorithm for reconstruction of 3D shapes views and statistical model". (Mark: 85) 1993-1996: M.Sc. study in the Hebrew university of Jerusalem at the Graduate school of applied science & Technology, guidance By Prof. A.J.Agranat. The M.Sc. subject: "Development of a Room Temperature KLAN Pyroelectric Detectors Array for Thermal Imaging". (Mark: 85) 1988-1992: B.Sc. study "material engineering for micro - electronic" in Ben Gurion university at the Material Engineering department. (Mark: 84) Publications: • "Traffic Flow Prediction using Adaboost Algorithm with Random Forests as a Weak Learner" Guy Leshem, Ya'acov Ritov. XIX. International Conference on Computer, Information, and Systems Science, and Engineering January 29-31, 2007 Bangkok, Thailand. [pdf (498)]. • "FRACAS: A System for Computer-Aided Image-Guided Long Bone Fracture Surgery" L. Joskowicz, C. Milgrom, A. Simkin, O. Sadowsky, Z. Yaniv, G.Leshem Proc. of the 2nd Int. Symposium on Medical Robotics and Computer Assisted Surgery ,Jeruslem, 1999. • "In-vitro accuracy of contact-based registration: materials, methods, and experimental results", Z. Yaniv, O. Sadowsky, G. Leshem, L. Joskowicz, Technical report, December 1999. [pdf (568)]. • Computer-aided image-guided bone fracture surgery: system integration and prototype" L. Joskowicz, C. Milgrom, A. Simkin, O. Sadowsky, Z. Yaniv and G. Leshem. Proc. 13th Int. Symposium on Computer Assisted Radiology and Surgery, H.U. Lemke et. al. eds, Elsevier 1999, pp 710 [pdf (0.06MB)]. Major Practice: .++Image processing by C• .Robot movement analysis by Matlab• • Development of algorithms for statistics machine learning: Adaboost and Random Forests (written in Matlab, Fortran and C++). • Development of algorithms for statistics analysis of missing data (written in SAS).
  • • Compilers course by Java. Skills: • Scientific: 1. Due to Ph.D. in statistic and two master degrees (Physics & Computer science) I have excellent ability to deal with a new issue. 2. Excellent knowledge of in Statistics Machine learning Theory, Machine Vision and Operational Research model. 3. Good base in development of Adapters Drivers and Computer Networks. • Programming: Very experienced Visual Studio C++, C, SAS, SQL, Matlab, Windows, Unix and Linux. Some experience of JAVA. SAS, R, SQL. • Languages: Hebrew (mother tongue), English (high level). Army: Parachutist special unit, I'm battalion commander in army reserve (degree Lieutenant Colonel).