Estimating characteristics of queueing networks using transactional data. - Avishai Mandelbaum; Sergey Zeltyn (Queueing Syst. Theory Appl., 1998)

The impact of customers' patience on delay and abandonment: some empirically-driven experiments with the M/M/n + G queue. - Avi Mandelbaum; Sergey Zeltyn (OR Spectr., 2004)

Call Centers with Impatient Customers: Many-Server Asymptotics of the M/M/n + G Queue. - Sergey Zeltyn; Avishai Mandelbaum (Queueing Syst. Theory Appl., 2005)

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 (WSC, 2009)

Staffing Many-Server Queues with Impatient Customers: Constraint Satisfaction in Call Centers. - Avishai Mandelbaum; Sergey Zeltyn (Oper. Res., 2009)

Waiting and sojourn times in a multi-server queue with mixed priorities. - Sergey Zeltyn; Zohar Feldman; Segev Wasserkrug (Queueing Syst. Theory Appl., 2009)

Service Engineering: Data-Based Course Development and Teaching. - Avishai Mandelbaum; Sergey Zeltyn (INFORMS Trans. Educ., 2010)

Improving efficiency in software maintenance. - Sergey Zeltyn; Peri L. Tarr; Murray Cantor; Robert Delmonico; Sateesh Kannegala; Mila Keren; Ashok Pon Kumar; Segev Wasserkrug (MSR, 2011)

Simulation-based models of emergency departments: : Operational, tactical, and strategic staffing. - Sergey Zeltyn; Yariv N. Marmor; Avishai Mandelbaum; Boaz Carmeli; Ohad Greenshpan; Yossi Mesika; Segev Wasserkrug; Pnina Vortman; Avraham Shtub; Tirza Lauterman; Dagan Schwartz; Kobi Moskovitch; et al. (ACM Trans. Model. Comput. Simul., 2011)

Data-stories about (im)patient customers in tele-queues. - Avishai Mandelbaum; Sergey Zeltyn (Queueing Syst. Theory Appl., 2013)

Erratum to: Data-stories about (im)patient customers in tele-queues. - Avishai Mandelbaum; Sergey Zeltyn (Queueing Syst. Theory Appl., 2013)

IBM Cognitive Technology Helps Aqualia to Reduce Costs and Save Resources in Wastewater Treatment. - Alexander Zadorojniy; Segev Wasserkrug; Sergey Zeltyn; Vladimir Lipets (Interfaces, 2017)

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 J. Appl. Anal., 2019)

Unleashing Analytics to Reduce Costs and Improve Quality in Wastewater Treatment. - Alexander Zadorojniy; Segev Wasserkrug; Sergey Zeltyn; Vladimir Lipets (INFORMS J. Appl. Anal., 2019)

Learning the Parameters of Bayesian Networks from Uncertain Data. - Segev Wasserkrug; Radu Marinescu 002; Sergey Zeltyn; Evgeny Shindin; Yishai A. Feldman (AAAI, 2021)

Where and Why is My Bot Failing? A Visual Analytics Approach for Investigating Failures in Chatbot Conversation Flows. - Avi Yaeli; Sergey Zeltyn (IEEE VIS (Short Papers), 2021)

Recommending Next Best Skill in Conversational Robotic Process Automation. - Avi Yaeli; Segev Shlomov; Alon Oved; Sergey Zeltyn; Nir Mashkif (BPM (Blockchain and RPA Forum), 2022)

Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration. - Sergey Zeltyn; Segev Shlomov; Avi Yaeli; Alon Oved (PMAI@IJCAI, 2022)

Operational optimization of wastewater treatment plants: a CMDP based decomposition approach. - Alexander Zadorojniy; Adam Shwartz; Segev Wasserkrug; Sergey Zeltyn (Ann. Oper. Res., 2022)

IDA: Breaking Barriers in No-code UI Automation Through Large Language Models and Human-Centric Design. - Segev Shlomov; Avi Yaeli; Sami Marreed; Sivan Schwartz; Netanel Eder; Offer Akrabi; Sergey Zeltyn (CoRR, 2024)

SNAP: Semantic Stories for Next Activity Prediction. - Alon Oved; Segev Shlomov; Sergey Zeltyn; Nir Mashkif; Avi Yaeli (AAAI, 2025)

Beyond Black-Box Benchmarking: Observability, Analytics, and Optimization of Agentic Systems. - Dany Moshkovich; Hadar Mulian; Sergey Zeltyn; Natti Eder; Inna Skarbovsky; Roy Abitbol (CoRR, 2025)

Self-Explaining Neural Networks for Business Process Monitoring. - Shahaf Bassan; Shlomit Gur; Sergey Zeltyn; Konstantinos Mavrogiorgos; Ron Eliav; Dimosthenis Kyriazis (CoRR, 2025)

Taming Uncertainty via Automation: Observing, Analyzing, and Optimizing Agentic AI Systems. - Dany Moshkovich; Sergey Zeltyn (CoRR, 2025)