ד"ר אייל בן-ציון

ד"ר אייל בן-ציון

A research leader with experience in research teams' guidance to develop and deploy core machine learning products of different methods in different domains. I am excited to coach researchers to tackle challenging machine learning problems and statistics and help them design and deploy cutting-edge solutions

פרופיל

הנדסת תעשייה וניהול
מרצה
באר שבע
חדר

470א בניין ד' (60)
אתר

רשתות חברתיות

לינקדאין

השכלה

2011-2018  Ph.D. in Industrial Engineering and Management.  Ben Gurion University of the Negev, Israel.  Dissertation title: Analysis and Prediction of a Human Mobility Patterns Using Learning Dynamic Models.  Adviser: Prof. Lerner B.     

2011-2014  M.Sc. in Industrial Engineering and Management.  Ben Gurion University of the Negev, Israel.  Dissertation title: Analysis and Prediction of a Human Mobility Patterns Using Learning Dynamic Models.  Adviser: Prof. Lerner B.     

2007-2011  B.Sc. in Industrial Engineering and Management.  Ben Gurion University of the Negev, Israel.

תחומי מחקר

Machine Learning
Deep Learning
Time Series
Forecast
Algo-trading

קורסים

MS-project
Operations Management

פרסומים

2020 

Zion, E.B., Briancon, A.C., Makhijani, P.M., Prasad, T.N., Amini, S., Deng, J., Nguyen, N.T. and Belanger, J.J., Cerebri AI Inc, 2020. Machine learning pipeline optimization. U.S. Patent Application 16/891,834. 

2020 

Lakshmipathy, S.K., Zion, E.B., Curry, D.A., Briancon, A.C., Engeling, M.H., Boldyrev, D.A. and Amini, S., Cerebri Ai Inc, 2020. Predictive, machine-learning, time-series computer models suitable for sparse training sets. U.S. Patent Application 16/868,385. 

2020 

Briancon, A.C., Zion, E.B., Kawale, S.S. and Amini, S., Cerebri Ai Inc, 2020. Predictive, machine-learning, locale-aware computer models suitable for location-and trajectory-aware training sets. U.S. Patent Application 16/868,393. 

2018 

Ben Zion, E., Lerner, B. Identifying and predicting social lifestyles in people's trajectories by neural networks. EPJ Data Science. 

2018 

Toch, E., Lerner, B., Ben Zion, E., Ben-Gal, I. Analyzing large-scale human mobility data: a survey of machine learning methods and applications. Knowledge and Information Systems, 1-23. 

2017 

Ben Zion, E., Lerner, B. 2017. Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns. In European Symposium on Artificial Neural Networks, Computational Intelligence, and Machine Learning, XXV. European Neural Network Society-ENNS. Bruges, Belgium 

2016 

Shalmon, T., Khashper, A., Schwartz, D., Ben Zion, E. and Shelef I. 2016. Changes in Spleen size in patients with Crohn's Disease as an index of disease activity. In Annual Meeting of the Israel Radiological Association. Eilat, Israel 

2015 

Ben Zion, E. and Lerner, B. 2015. Analysis and prediction of human mobility patterns by learning a hierarchical hidden Markov model using latent Dirichlet allocation. In Data Mining for Business Intelligence Conference. Beer Sheba, Israel