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Dr. Eyal Brill
Faculty of Industrial Engineering and Technology Management | Vice Dean
Head of the M.Sc. program
Head of the M.Sc. program
Tel: 03-5026749
Email: eyalb@hit.ac.il
Building 1, 6th Floor, Room 614
Research Interests 
Brownian motion based abnormality detection in time based processes.
The research is based on a patent whose development started in 2009. The basic idea is to detect abnormality in time-based processes that have signature of Brownian motion equations. Appendix A explains the mathematical background. Application of the above principle is carried out in the following areas -
The research is based on a patent whose development started in 2009. The basic idea is to detect abnormality in time-based processes that have signature of Brownian motion equations. Appendix A explains the mathematical background. Application of the above principle is carried out in the following areas -
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Identification of contamination in drinking water.
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Identification of contamination in sewage systems.
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Finding equipment malfunctions of solar photovoltaic technology.
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Email/Text abnormalities
Current methodology of abnormality detection in the literature is based on clustering or by comparing actual value visa predicted value of some equation based model.
The following gives a short description how BM can be used for abnormality detection in two domains.
Detection of abnormalities in Email messages
Brownian motion may be used to detect abnormalities in mail or in text in general.
This issue is presented in an article currently under construction. Seminar about this subject was presented in the Faculty of Technology Management on 11/01/2015.
The challenge is how to perform such a task without violating privacy of the sending / receiving e-mail. The basic idea is to generate numerical measurements based on the meta-data of the email system. Such measurements include:
How many email messages were sent, in what time intervals, how many are within the organization, and how many outside the organization, and more. These measurements can be used in order to perform the algorithm of Brownian motion. When an employee decides to leave the organization, his/her behavior changes and reflected the above variables measured using Brownian motion. A summary article about the above was sent to the conference on Production Engineering dated 02/24/2015. Full article in English will be sent after the conference to a leading magazine in the field of data mining.
Current analysis is based on fixed values of the BM and by examining full text.
The next step in the research is to apply machine learning in order to apply self learning of the BM parameters as depicted in appendix A.
Brownian motion may be used to detect abnormalities in mail or in text in general.
This issue is presented in an article currently under construction. Seminar about this subject was presented in the Faculty of Technology Management on 11/01/2015.
The challenge is how to perform such a task without violating privacy of the sending / receiving e-mail. The basic idea is to generate numerical measurements based on the meta-data of the email system. Such measurements include:
How many email messages were sent, in what time intervals, how many are within the organization, and how many outside the organization, and more. These measurements can be used in order to perform the algorithm of Brownian motion. When an employee decides to leave the organization, his/her behavior changes and reflected the above variables measured using Brownian motion. A summary article about the above was sent to the conference on Production Engineering dated 02/24/2015. Full article in English will be sent after the conference to a leading magazine in the field of data mining.
Current analysis is based on fixed values of the BM and by examining full text.
The next step in the research is to apply machine learning in order to apply self learning of the BM parameters as depicted in appendix A.
Detection of water contamination
Detection of water contamination using BM was performed during commercial work done by me between 2008 and 2013. The idea is that online measurements can be translated into BM. Contamination generates disruption to the BM. The challenge in the future research is to classify the type of contamination based on the shape of the disruption curve. The shape of the disruption can be measured as shown in figure 1 (in the Appendix).
Most of the time (horizontal axis), the value of L (see equation 3) is below the value of X. During disruption this condition is violated. Assuming the g is the maximum value of L from equation (3) during normal behavior, during disruption this value goes up. The shape of the disruption can be denoted by the following parameters: d, S, RB and RA.
The research will try to classify different types of abnormalities as they are shown in the BM curve.
Detection of water contamination using BM was performed during commercial work done by me between 2008 and 2013. The idea is that online measurements can be translated into BM. Contamination generates disruption to the BM. The challenge in the future research is to classify the type of contamination based on the shape of the disruption curve. The shape of the disruption can be measured as shown in figure 1 (in the Appendix).
Most of the time (horizontal axis), the value of L (see equation 3) is below the value of X. During disruption this condition is violated. Assuming the g is the maximum value of L from equation (3) during normal behavior, during disruption this value goes up. The shape of the disruption can be denoted by the following parameters: d, S, RB and RA.
The research will try to classify different types of abnormalities as they are shown in the BM curve.
Education
|
Date of Award |
Degree or Professional Licence |
Subject |
Name of University (including city and country if not in Israel) |
Period of Study (dates) |
|
1989 |
B.A. |
System Analysis |
College for Management |
1984-1989 |
|
1992 |
M.Sc. |
Ag. Economics |
Hebrew University |
1989-1992 |
|
1996 |
Ph.D. |
Ag. Economics |
Hebrew University |
1993-1996 |
Title of Master's Thesis: A Model for Optimization of the Dairy Industry Production Function
Name of Supervisors: Prof. Eithan Hochman
Title of Doctoral Dissertation: Applicability and Efficiency of Market Mechanisms for Allocation of Water with Bargaining
Names of Supervisors: Prof. Eithan Hochman
FURTHER STUDIES
|
Date of Award |
Degree or Professional Licence |
Subject |
Name of University
|
Period of Study (dates) |
|
1997 |
Post Doctorate |
Natural Resources |
University of Maryland at College Park, USA |
1996-1997 |
Academic and Professional Experience
|
Rank/Function |
Department |
Name of Institution (city, country) |
Period (dates) |
|
Lecturer |
Economics |
Ben-Gurion University of the Negev, Beer-Sheva, Israel |
1998-1999 |
|
Lecturer |
Agr. Economics |
Hebrew University, Jerusalem, Israel |
1998-2008 |
|
Lecturer |
Business Game Environmental Econ |
HIT, Holon, Israel |
2006-2009 |
|
Senior Lecturer |
Business Game Environmental Econ |
HIT, Holon, Israel |
2009 - today |
|
Deputy head of BSc program |
MOT |
HIT, Holon, Israel |
2013 |
Professional
|
Rank/Function |
Department |
Name of Institution (city, country) |
Period (dates) |
|
Programmer |
Eng. |
Tnuva Ltd |
1981 – 1994 |
|
Programmer |
|
SpecSoft Ltd., Israel |
1998 - 2001 |
|
R&D Manager |
Research & Development |
Insyst Ltd., Israel |
2001 - 2003 |
|
COO |
|
Insyst Ltd., Israel |
2003 - 2008 |
|
CTO |
Research & Development |
Menolinx Ldt, Israel |
2008 – 2009 |
|
Owner |
|
Decision Makers Ltd |
2009 – Present |
-
Hi-tec start-up developed unique software for automatic code generation for PLC.
-
The company developed software for machine learning application in Industrial Control.
-
Insyst Ltd. engaged in the field of APC (Advanced Process Control).
Relevant Experience
-
Optimization of multi-input multi output-function. (Theory and practice)
-
11 years experience in Machine learning and models building using most common algorithms. (Including teaching these subjects in academic classes).
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Over 20 year experience in development of commercial application using database systems and Internet technology.
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Managing 4 projects funded by the Israeli Chief Scientist with total budget of more 25M NIS.
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Managing development team of 20-30 technical staff including developers, algorithm team, QA team and implementation/engineering team.
publications
REFEREED ARTICLES
- E. Brill, E. Hochman, D. Zilberman
Allocation and pricing at the water district level
American J. Agricultural Economics, 79, 1997 (952-963) - E. Brill, G. Hochman, E. Hochman
Aspects of privatization of a water region
The Economic Quarterly, 44(2), 1997 (241-262) - A. Gonen, E. Brill, M. Frank
Learning through business games – An analysis of successes and failures
On the Horizon, 17(4), 2009 (356-367) - E. Brill, J. Sack
Water contamination detection – Methodology and empirical results
EnviroGeoChemica Acta J. (EGCA)
Special Issue, 6, 2014 (390-396)
[presented at IPN – Israel Water Week (I2W2), Mexico City, Mexico, 17-19 September 2014] - D. Giterman, E. Brill
Proposal and examination of the FLAP algorithm
Int'l. J. of Business Intelligence and Data Mining, 13(1/2/3), 2018 (267-290) - B. Amit, E. Brill
New approach for estimation of detention time and prediction of quality in water networks
Water Quality Research J., 53(2), 2018 (72-85) - E. Brill, A. Binstock
A methodology for E-mail based detection of employee behavior change
J. of Business and Economic Management, 6(3), 2018 (38-44)
CHAPTERS IN BOOKS
- E. Hochman, E. Brill
Homogeneity and heterogeneity of bio-resources in economic models
In: "Modern Agriculture and the Environment"
D. Rosen, E. Tal-Or, Y. Hadar, Y. Chen (eds.)
The Hebrew University of Jerusalem
Great Britain: Kluwer Academic Publishers, 1997 (567-582) - E. Brill, G. Hochman, E. Hochman
Privatization and regulation of multi-source water usage
In: "Conflict and Cooperation on Trans-Boundary Water Resources"
R.E. Just, S. Netanyahu (eds.)
Kluwer Academic Publishers, 1998 (249-266) - E. Brill, U. Chakravorty, E. Hochman
Trans-boundary water allocation between Israel and the Gaza Strip:
Desalination, recycling, and fresh water
In: "Conflict and Cooperation on Trans-boundary Water Resources"
R. Just, S. Netanyahu (eds.)
Boston: Kluwer Academic Publishers, 1998 (381-400) - E. Brill, E. Hochman, D. Zilberman
Allocation and pricing at the water district level
In: "Economics of Water Resources", Volume II
R. Quentin Grafton (ed.)
Edward Elgar Publishing, 2009, Part IV, Ch.27 (385-396) - E. Brill
Implementing machine learning algorithms for water quality event detection:
Theory and practice
In: Securing Water and Wastewater Systems
Series: Protecting Critical Infrastructure
Robert M. Clark, Simon Hakim (eds.)
Springer, 2, 2014 (107-122)
[ISBN: 978-3-319-01091-5] - E. Brill, B. Brill
Identifying water network anomalies using multi parameters random walk:
Theory and practice
In: Applications in Water Systems Management and Modeling
Daniela Malcangio (ed.)
IntechOpen, Chapter 3, 2018 (33-47)
[ISBN: 978-1-78923-045-1]
http://dx.doi.org/10.5772/intechopen.71566
PAPERS PRESENTED AT SCIENTIFIC MEETINGS PUBLISHED IN PROCEEDINGS
- E. Hochman, E. Brill
Fish production in a super-intensive controlled system in the Israeli desert
Socioeconomics of Aquaculture. Tungkang Marine Laboratory (TML) Conf. Proc.
Y.C. Shang, P.S. Leung, C.S. Lee, M.S. Su, and I.C. Liao (eds.)
1994 (281-295) - E. Brill, E. Hochman
Allocation of common resources with political bargaining
Security and Sustainability in a Mature Water Economy – A Global Perspective
Water and Resource Economics Consortium, Center for Water Policy Research
J.J. Pigram (ed.) University of New England
Armidale, Australia, 1996 (183-211) - U. Chakravorty, E. Brill, E. Hochman
Allocation of water among agricultural and urban users in Israel
Security and Sustainability in a Mature Water Economy – A Global Perspective
Water and Resource Economics Consortium, Center for Water Policy Research
J.J. Pigram (ed.) University of New England
Armidale, Australia, 1996 (407-420) - E. Hochman, E. Brill
Israeli water economy: Reform vs. reality
Proc. 4th Water and Resources Economics consortium
Melbourne, Australia, 13-16 Feb. 1996 (11-42) - E. Brill
PLC based recipes
North American World Batch Forum Conf.
Atlantic City, USA, Apr. 2000 - E. Brill, O. Yulevitch
Targeting batch outcome using predictive control
European World Batch Forum North American Conf.
New Jersey, USA, 13-16 Apr. 2003 - E. Brill
Modeling batch processes using virtual variables
European World Batch Forum European Conf.
Mechelen, Brussels, 11-13 Oct. 2004 - A. Gonen, E. Brill
On-line training for improvement of business decisions
38th Annual Conf. "Teaching and Learning through Gaming and Simulation" (Sagset 2008)
Nottingham, UK, 17-18 July 2008 - E. Brill, A. Gonen, E. Fligel, E. Goldstein
Empirical results about the Nash-Cournot equilibrium
IEEE Int'l. Conf. on Industrial Engineering and Engineering Management (IEEM 2009)
Hong Kong, 8-11 December 2009 - A. Gonen, E. Brill
The world of business games
Portland Int'l. Center for Management of Engineering and Technology (PICMET '14) Conf.
Japan Chapter: "Infrastructure and Service Integration"
Kanazawa, Japan, 27-31 July 2014 - M. Green, E. Brill
Managing the grid while optimizing revenue from small PV systems
Proc. 19th Sede Boqer Sym. on Solar Electricity Production
Beer Sheba, Israel, 23-25 February 2015 - E. Brill, A. Binstock
Detecting employee's abnormalities behavior using mail meta data monitoring
Proc. 19th Industrial Engineering and Management Conf. (IE&M)
Competitive Advantage in the Era of Global Competition
Tel-Aviv, Israel, 24 February 2015 - E. Santamaria, J. Mograber, E. Brill, I.M. Arango
A system architecture for the detection and mitigation of CBRN related
contamination events of drinking water
Proc. 13th Int'l. Conf. on Computing and Control for the Water Industry (CCWI 2015): Sharing the Best Practice in Water Management, Leicester, UK, 2-4 September 2015
Procedia Engineering Series, 119, 2015 (319-327) - T. Bernard, J. Mograber, A.E. Madar, A. Rosenberg, J. Deuerlein, H. Lucas,
K. Boudergui, D. Ilver, E. Brill, N. Ulitzur
Safewater – Innovative tools for the detection and mitigation of CBRN related contamination events of drinking water
Proc. 13th Int'l. Conf. on Computing and Control for the Water Industry (CCWI 2015): Sharing the Best Practice in Water Management, Leicester, UK, 2-4 September 2015
Procedia Engineering Series, 119, 2015 (352-359) - T. Bernard, J. Mograber, A.E. Madar, A. Rosenberg, J. Deuerlein, H. Lucas,
K. Boudergui, Dag Ilver, E. Brill, N. Ulitzur
Realtime detection and mitigation of CBRN related contamination events of drinking water
10th Future Security Research Conf.
Berlin, Germany, 15-17 September 2015 - B. Brill, E. Brill
Extensions of cross correlation for delay time estimation
with application to water networks
Proc. Industrial Engineering & Management Conf. (IE&M)
Tel-Aviv, Israel, 4 June 2017
OTHER PUBLICATIONS
PATENTS
- J. Hartman, O. Yulevitch, E. Brill
Method for dynamically targeting a batch process
Publication No. US 2003/0220709 A1, Publication date: 27 November 2003 - J. Hartman, O. Yulevitch, E. Brill
Method for dynamically targeting a batch process
Patent No. 7123978, Date of patent: 17 October 2006 - J. Hartman, E. Brill, Y. Kokotov
Apparatus and method for the analysis of a process having parameter-based faults
Patent No. 20070156620, Publication date: 5 July 2007 - J. Hartman, E. Brill, Y. Kokotov
Apparatus and method for the analysis of a process having parameter-based faults
Patent No. 7536371, Publication date: 19 May 2009 - J. Hartman, E. Brill, Y. Kokotov
Apparatus and method for the analysis of a process having parameter-based faults
Patent No. 20090265295, Date of Patent: 22 October 2009 - J. Hartman, E. Brill, Y. Kokotov
Apparatus and method for the analysis of a process having parameter-based faults
Patent No. 7805394, Date of Patent: 28 September 2010 - E. Brill
System and method for detecting abnormal occurrences
Publication No. US 2014/0058705 A1, Publication date: 27 February 2014
Provisional application:
- E. Brill
Dynamic Brownian motion with density superposition for abnormality detection
Patent application no. 20150205856, Publication date: 23 July 2015
REPORTS
- E Brill
Virtual sensor model specifications
Deliverable D3.1. SAFEWATER project
A classified EU project, Contract Number: 312764, 2014 - E. Brill, B. Brill
Event detection system training tool
Deliverable D4.7. SAFEWATER project
A classified EU project, Contract Number: 312764, 2014 - E. Brill, B. Brill
Virtual sensor model release
Deliverable D3.2. SAFEWATER project
A classified EU project, Contract Number: 312764, 2015 - E. Brill, B. Brill
Abnormality spatial model
Deliverable D3.4. SAFEWATER project
A classified EU project, Contract Number: 312764, 2015 - E. Brill, B. Brill
Optimal sensors combination ranking
Deliverable D3.7. SAFEWATER project
A classified EU project, Contract Number: 312764, 2015 - E. Brill, B. Jones, J. Dore
Improving efficiency of PV systems using statistical performance monitoring
Photovoltaic Power Systems Programme
Report IEA-PVPS T13-07: 2017 Subtask 2
[ISBN: 978-3-906042-48-0] - E. Brill
Water quality event detection process: Guidelines for water and wastewater utilities
Int'l. Organization for Standardization, ISO/TS 24522 (ISO/TC 224 N998), February 2019
Faculties & Departments
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