Segev Wasserkrug

contact information

Ph.D., Senior Technical Staff Member, Decision Optimization and Game Theory Research
Haifa Research Lab, Haifa, Israel

links

Professional Associations

Professional Associations: INFORMS | Operations Research Society - Israel

2021

Learning the Parameters of Bayesian Networks from Uncertain Data
Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A. Feldman
35th AAAI Conference on Artificial Intelligence, 2021
Abstract

2020

A Game Theoretic Model for Strategic Coopetition in Business Networks
Segev Wasserkrug, Eitan Farchi
Wine 2020 Workshop on Game Theory in Blockchain
Abstract coopetition, business model, game theory, value, interdependence, microeconomics, incentive, computer science, blockchain, game theoretic

2019

What's Wrong with My Dishwasher: Advanced Analytics Improve the Diagnostic Process for Miele Technicians
Segev Wasserkrug, Martin Krüger, Yishai A. Feldman, Evgeny Shindin, Sergey Zeltyn
INFORMS Journal on Applied Analytics 49(5), 384-396, 2019
Abstract

Unleashing Analytics to Reduce Costs and Improve Quality in Wastewater Treatment
Alexander Zadorojniy, Segev Wasserkrug, Sergey Zeltyn, Vladimir Lipets
Interfaces 49(4), 262-268, 2019
Abstract prescriptive analytics, analytics, process management, reinforcement learning, sewage treatment, computer science

2018

Uncertainty in Events
Segev Wasserkrug
Encyclopedia of Database Systems (2nd ed.), 2018
Abstract complex event processing, event, active database, inference, ode, natural language processing, variety, computer science, artificial intelligence

2017

IBM Cognitive Technology Helps Aqualia to Reduce Costs and Save Resources in Wastewater Treatment
Alexander Zadorojniy, Segev Wasserkrug, Sergey Zeltyn, Vladimir Lipets
Interfaces 47(5), 411-424, INFORMS, 2017
Abstract cloud computing, markov decision process, sewage treatment, ibm, optimization problem, production, work, process engineering, front and back ends, waste management, engineering

2016

Operational optimization of wastewater treatment plants: a CMDP based decomposition approach
Zadorojniy, Alexander and Shwartz, Adam and Wasserkrug, Segev and Zeltyn, Sergey
Annals of Operations Research, 1--18, Springer, 2016
Abstract

2014

Relieving Pressure: Optimizing Water Distribution Pressure Management at Valley of the Moon Water District
Wasserkrug, Segev and Tsitkin, Alexey and Zadorojniy, Alexander
Interfaces 44(5), 509--524, INFORMS, 2014
Abstract

2013

Sensor placement method and system for leakage location in liquid distribution networks
Shir Ofer, Wasserkrug Segev, Shiloach Yossi, Israeli Eitan, Weisman Ran
2013
Abstract leakage, computer hardware, software deployment, computer science, detection performance, distribution networks, placement method, topology model

Event processing method and apparatus
Etzion Zvi Opher, Wasserkrug Eliezer Segev
2013
complex event processing, computer science, real time computing

2012

Efficient Processing of Uncertain Events in Rule-Based Systems
S. Wasserkrug, A. Gal, O. Etzion, Y. Turchin
IEEE Transactions on Knowledge and Data Engineering 24(1), 45-58, IEEE, 2012
Abstract complex event processing, event, rule based system, scalability, knowledge based systems, computer science, data mining, scale, empirical evidence, certainty

2011

Analytics-driven asset management
A Hampapur, H Cao, A Davenport, WS Dong, D Fenhagen, RS Feris, G Goldszmidt, ZB Jiang, J Kalagnanam, T Kumar, others
IBM Journal of Research and Development 55(1.2), 13--1, IBM, 2011

Improving efficiency in software maintenance
Sergey Zeltyn, Perri Tarr, Murray Cantor, Robert Delmonico, Sateesh Kannegala, Mila Keren, Ashok Pon Kumar, Segev Wasserkrug
Proceeding of the 8th working conference on Mining software repositories, pp. 215--218, 2011

Event Processing over Uncertain Data
Avigdor Gal, Segev Wasserkrug, Opher Etzion
2011
Abstract complex event processing, uncertain data, inference, bayesian network, complete information, terminology, network packet, fuzzy logic, data mining, computer science

2010

Simulation optimization using the cross-entropy method with optimal computing budget allocation
Donghai He, Loo Hay Lee, Chun-Hung Chen, Michael C. Fu, Segev Wasserkrug
ACM Transactions on Modeling and Computer Simulation 20(1), 2010
Abstract continuous optimization, global optimization, cross entropy method, estimation of distribution algorithm, search algorithm, stochastic simulation, mathematical optimization, parameterized complexity, sampling distribution, computer science

2009

Waiting and sojourn times in a multi-server queue with mixed priorities
Sergey Zeltyn, Zohar Feldman, Segev Wasserkrug
Queueing Systems 61(4), 305-328, Springer US, 2009
Abstract priority queue, queue, job shop scheduling, service, mathematical optimization, supply chain management, exponential function, type of service, computer science, order

Toward simulation-based real-time decision-support systems for emergency departments
Yariv N Marmor, Segev Wasserkrug, Sergey Zeltyn, Yossi Mesika, Ohad Greenshpan, Boaz Carmeli, Avraham Shtub, Avishai Mandelbaum
Simulation Conference (WSC), Proceedings of the 2009 Winter, pp. 2042--2053

Device, system, and method of collaborative distribution of digital merchandise
A Fisher, D Gilat, G Shachor, P Vortman, S E Wasserkrug
2009 - freepatentsonline.com

InEDvance: advanced IT in support of emergency department management
Segev Wasserkrug, Ohad Greenshpan, Yariv N Marmor, Boaz Carmeli, Pnina Vortman, Fuad Basis, Dagan Schwartz, Avishai Mandelbaum
Next Generation Information Technologies and Systems, pp. 86--95, Springer, 2009

Tuning complex event processing rules using the prediction-correction paradigm
Yulia Turchin, Avigdor Gal, Segev Wasserkrug
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems, 2009
Abstract subject matter expert, legal expert system, complex event processing, rule based system, intrusion detection system, implementation, data mining, machine learning, computer science, estimator, artificial intelligence, change over time

There is a growing need for the use of active systems, systems that act automatically based on events. In many cases, providing such active functionality requires materializing (inferring) the occurrence of relevant events. A widespread paradigm for enabling such materialization is Complex Event Processing (CEP), a rule based paradigm, which currently relies on domain experts to fully define the relevant rules. These experts need to provide the set of basic events which serves as input to the rule, their inter-relationships, and the parameters of the events for determining a new event materialization. While it is reasonable to expect that domain experts will be able to provide a partial rules specification, providing all the required details is a hard task, even for domain experts. Moreover, in many active systems, rules may change over time, due to the dynamic nature of the domain. Such changes complicate even further the specification task, as the expert must constantly update the rules. As a result, we seek additional support to the definition of rules, beyond expert opinion. This work presents a mechanism for automating both the initial definition of rules and the update of rules over time. This mechanism combines partial information provided by the domain expert with machine learning techniques, and is aimed at improving the accuracy of event specification and materialization. The proposed mechanism consists of two main repetitive stages, namely rule parameter prediction and rule parameter correction. The former is performed by updating the parameters using an available expert knowledge regarding the future changes of parameters. The latter stage utilizes expert feedback regarding the actual past occurrence of events and the events materialized by the CEP framework to tune rule parameters. We also include possible implementations for both stages, based on a statistical estimator and evaluate our outcome using a case study from the intrusion detection domain.

2008

Complex event processing over uncertain data
S Wasserkrug, A Gal, O Etzion, Y Turchin
Proceedings of the second international conference on Distributed event-based systems, pp. 253--264, 2008

Inference of security hazards from event composition based on incomplete or uncertain information
S Wasserkrug, A Gal, O Etzion
IEEE transactions on knowledge and data engineering, 1111--1114, IEEE Computer Society, 2008

Creating operational shift schedules for third-level IT support: challenges, models and case study
Segev Wasserkrug, Shai Taub, Sergey Zeltyn, Dagan Gilat, Vladimir Lipets, Zohar Feldman, Avishai Mandelbaum
International Journal of Services Operations and Informatics3, Inderscience Publishers, 2008
Abstract demand forecasting, scheduling, rule of thumb, information technology, type of service, workforce management, operations research, best practice, staffing, engineering

Efficient uncertainty management in complex event systems: saving the witch from Henzel & Gretel
Segev Wasserkrug, Avigdor Gal, Yulia Turchin, Opher Etzion
Proceedings of the second international conference on Distributed event-based systems, pp. 305-308, ACM, 2008
Abstract business process management, event, inference, computer science, distributed computing, set, code, mechanism, general purpose, grid resources

A top-down approach to aligning business service centres with business processes
Amit Fisher, Fabiana Fournier, Dagan Gilat, Guy Rackham, Natalia Razinkov, Segev Wasserkrug
International Journal of Services Operations and Informatics 3(3), 207--220, Inderscience, 2008

2007

Shift Scheduling for Third Level IT Support: Challenges, Models and Case Study
S Wasserkrug, S Taub, S Zeltyn, D Gilat, V Lipets, Z Feldman, A Mandelbaum
IEEE International Conference on Service Operations and Logistics, and Informatics, 2007, pp. 1--6

Utilizing model characteristics to obtain efficient parallelization in the context of agent based epidemiological models
Steven Naron, Segev Wasserkrug
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come, pp. 1555-1561, IEEE Press, 2007
Abstract problem domain, multi agent system, parallel algorithm, distributed computing, computer science, theoretical computer science, implementation, parallel computing

Calculating the business importance of entities in a service-oriented enterprise
Amit Fisher, Fabiana Fournier, Dagan Gilat, Guy Rackham, Natalia Razinkov, Segev Wasserkrug
Services Computing, 2007. SCC 2007. IEEE International Conference on, pp. 717--718

A Top-Down Approach from Service Centers to Business Processes
A Fisher, F Fournier, Dagan Gilat, G Rackham, Natalia Razinkov, S Wasserkrug
Service Operations and Logistics, and Informatics, 2007. SOLI 2007. IEEE International Conference on, pp. 1--6

2006

A taxonomy and representation of sources of uncertainty in active systems
Segev Wasserkrug, Avigdor Gal, Opher Etzion
NGITS06 Proceedings of the 6th international conference on Next Generation Information Technologies and Systems, pp. 174-185, Springer, Berlin, Heidelberg, 2006
Abstract event, taxonomy, data science, computer science, representation, artificial intelligence, active systems, information gap

2005

Handling Uncertain Rules in Composite Event Systems
Segev Wasserkrug, Avigdor Gal, Opher Etzion
FLAIRS Conference, pp. 860-861, 2005
computer science, distributed computing, composite event

Device, method and computer program product for determining an importance of multiple business entities
A Fisher, D Gilat, S E Wasserkrug
US Patent App. 11/243,040, 2005 - Google Patents, Google Patents
US Patent App. 11/243,040

2004

Business objective based resource management
Sarel Aiber, Dagan Gilat, Ariel Landau, Natalia Razinkov, Aviad Sela, Segev Wasserkrug
Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers \& Posters, WWW 2004, New York, NY, USA, May 17-20, 2004, pp. 236--237, ACM

A methodological framework for business-oriented modeling of it infrastructure
Ariel Landau, Segev Wasserkrug, Dagan Gilat, Natalia Razinkov, Aviad Sela, Sarel Aiber
Proceedings of the 36th conference on Winter simulation, pp. 474--482, 2004

e-CLV: a modelling approach for customer lifetime evaluation in e-commerce domains, with an application and case study for online auctions
O. Etzion, A. Fisher, S. Wasserkrug
IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE 04. 2004, pp. 149-156
Abstract customer lifetime value, common value auction, e commerce, markov chain, markov process, direct marketing, the internet, computer aided software engineering, industrial engineering, computer science, marketing

Autonomic Self-Optimization According to Business Objectives
Natalia Razinkov, S Wasserkrug
Proc. of, pp. 206--213, 2004

2003

Inference and Prediction of Uncertain Events in Active Systems: A Language and Execution Model
Segev Wasserkrug
VLDB PhD Workshop, 2003
Abstract execution model, inference, machine learning, computer science, active systems, artificial intelligence

Year Unknown

A model for reasoning with uncertain rules in event composition systems
S Wasserkrug, A Gal, O Etzion
Proceedings of the 21st Annual Conference on Uncertainty in Artificial Intelligence, pp. 599--606

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