45 citations · 84 across the 12 of their papers we have counts for
14 papers
RoboPilot: Generalizable Dynamic Robotic Manipulation with Dual-thinking Modes
Xinyi Liu, Mohammadreza Fani Sani, Zewei Zhou +3
Despite rapid progress in robotics, complex or long-horizon tasks remain a fundamental challenge. Most current approaches follow an open-loop paradigm with limited reasoning and no…
Skill Learning Using Process Mining for Large Language Model Plan Generation
Andrei Cosmin Redis, Mohammadreza Fani Sani, Bahram Zarrin +1
Large language models (LLMs) hold promise for generating plans for complex tasks, but their effectiveness is limited by sequential execution, lack of control flow models, and diffi…
ProcessTBench: An LLM Plan Generation Dataset for Process Mining
Andrei Cosmin Redis, Mohammadreza Fani Sani, Bahram Zarrin +1
Large Language Models (LLMs) have shown significant promise in plan generation. Yet, existing datasets often lack the complexity needed for advanced tool use scenarios - such as ha…
LLM-based event abstraction and integration for IoT-sourced logs
Mohsen Shirali, Mohammadreza Fani Sani, Zahra Ahmadi +1
The continuous flow of data collected by Internet of Things (IoT) devices, has revolutionised our ability to understand and interact with the world across various applications. How…
Boosting Cybersecurity Vulnerability Scanning based on LLM-supported Static Application Security Testing
Mete Keltek, Rong Hu, Mohammadreza Fani Sani +1
The current cybersecurity landscape is increasingly complex, with traditional Static Application Security Testing (SAST) tools struggling to capture complex and emerging vulnerabil…
Recording of 50 Business Assignments
Michal Sroka, Mohammadreza Fani Sani
One of the main use cases of process mining is to discover and analyze how users follow business assignments, providing valuable insights into process efficiency and optimization.…
Credit Card Fraud Detection Using Asexual Reproduction Optimization
Anahita Farhang Ghahfarokhi, Taha Mansouri, Mohammad Reza Sadeghi Moghadam +3
As the number of credit card users has increased, detecting fraud in this domain has become a vital issue. Previous literature has applied various supervised and unsupervised machi…
Performance-Preserving Event Log Sampling for Predictive Monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park +3
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant intere…
Event Log Sampling for Predictive Monitoring
Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park +3
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant intere…
Privacy and Confidentiality in Process Mining -- Threats and Research Challenges
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Mohammadreza Fani Sani +5
Privacy and confidentiality are very important prerequisites for applying process mining in order to comply with regulations and keep company secrets. This paper provides a foundat…
Model Independent Error Bound Estimation for Conformance Checking Approximation
Mohammadreza Fani Sani, Martin Kabierski, Sebastiaan J. van Zelst +1
Conformance checking techniques allow us to quantify the correspondence of a process's execution, captured in event data, w.r.t., a reference process model. In this context, alignm…
A Systematic Literature Review on Process-Aware Recommender Systems
Mansoureh Yari Eili, Jalal Rezaeenour, Mohammadreza Fani Sani
Considering processes of a business in a recommender system is highly advantageous. Although most studies in the business process analysis domain are of descriptive and predictive…
Conformance Checking Approximation using Subset Selection and Edit Distance
Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst
Conformance checking techniques let us find out to what degree a process model and real execution data correspond to each other. In recent years, alignments have proven extremely u…
Prototype Selection Based on Clustering and Conformance Metrics for Model Discovery
Mohammadreza Fani Sani, Mathilde Boltenhagen, Wil van der Aalst
Process discovery aims at automatically creating process models on the basis of event data captured during the execution of business processes. Process discovery algorithms tend to…