Baris Tekin Tezel

28 papers C 2Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FAIR: Fuzzy-BDI agents for intelligent reasoning on smart cyber-physical systems. Expert Syst. Appl. Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2026	J	`jnl`	High-level reasoning while low-level actuation in cyber-physical systems: How efficient is it? J. Ind. Inf. Integr. Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2026	C	`conf`	Model-Driven Development of Fuzzy-BDI Multi-Agent Systems. MODELSWARD Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2025	J	`jnl`	Debugging in the Domain-Specific Modeling Languages for multi-agent systems. J. Comput. Lang. Baris Tekin Tezel, Geylani Kardas
2025	J	`jnl`	High-level reasoning while low-level actuation in Cyber-Physical Systems: How efficient is it? CoRR Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2024	J	`jnl`	A hybrid approach based on magnitude-based fuzzy analytic hierarchy process for estimating sustainable urban transport solutions. Eng. Appl. Artif. Intell. Sarbast Moslem, Baris Tekin Tezel, Ayse Övgü Kinay, Francesco Pilla
2024	C	`conf`	DSML4JaCaMo: A Modelling tool for Multi-agent Programming with JaCaMo. FedCSIS Burak Karaduman, Baris Tekin Tezel, Geylani Kardas, Moharram Challenger
2024	—	`conf`	Model-driven Engineering of A Knowledge-base for Assembly Systems: An Architectural View. MECO Alireza Khalilipour, Andrés Benito, Bieke Decraemer, Alexander De Cock, Baris Tekin Tezel, Fatma Bozyigit, Moharram Challenger
2024	J	`jnl`	On the impact of fuzzy-logic based BDI agent model for cyber-physical systems. Expert Syst. Appl. Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2024	—	`conf`	Static Analysis of BDI Agents on CPS using Petri Nets and MDE Techniques. MoDELS (Companion) Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2024	—	`conf`	Towards Static Analysis of BDI Agents on CPS Using Petri Nets and Model-Driven Engineering. PAAMS (Workshops) Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2023	J	`jnl`	Rational software agents with the BDI reasoning model for Cyber-Physical Systems. Eng. Appl. Artif. Intell. Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2022	J	`jnl`	Enhancing BDI Agents Using Fuzzy Logic for CPS and IoT Interoperability Using the JaCa Platform. Symmetry Burak Karaduman, Baris Tekin Tezel, Moharram Challenger
2022	J	`jnl`	Modification of the fuzzy analytic hierarchy process via different ranking methods. Int. J. Intell. Syst. Ayse Övgü Kinay, Baris Tekin Tezel
2022	—	`conf`	Towards developing a cyber-physical warehouse system for automated order-picking for online shopping. FedCSIS (Communication Papers) Onur Berker Alhas, Melike Oruc, Goksun Beren Usta, Hussein Marah, Baris Tekin Tezel, Moharram Challenger
2021	J	`jnl`	A cooperative system for metaheuristic algorithms. Expert Syst. Appl. Baris Tekin Tezel, Ali Mert
2021	J	`jnl`	AgentDSM-Eval: A framework for the evaluation of domain-specific modeling languages for multi-agent systems. Comput. Stand. Interfaces Omer Faruk Alaca, Baris Tekin Tezel, Moharram Challenger, Miguel Goulão, Vasco Amaral, Geylani Kardas
2021	J	`jnl`	Efficient implementation and parallelization of fuzzy density based clustering. Inf. Sci. Can Atilgan, Baris Tekin Tezel, Efendi Nasiboglu
2021	J	`jnl`	On the use of the analytic hierarchy process in the evaluation of domain-specific modeling languages for multi-agent systems. J. Comput. Lang. Tansu Zafer Asici, Baris Tekin Tezel, Geylani Kardas
2020	—	`—`	Yazılım etmenleri için geliştirilen alana-özgü etmen modelleme dillerinde hata ayıklama (Debugging for the domain-specific agent modeling languages of software agents) Baris Tekin Tezel
2019	—	`conf`	A Conceptual Generic Framework to Debugging in the Domain-Specific Modeling Languages for Multi-Agent Systems. SLATE Baris Tekin Tezel, Geylani Kardas
2019	J	`jnl`	An algorithm for spelling the pitches of any musical scale. Inf. Sci. Uzay Bora, Baris Tekin Tezel, Alper Vahaplar
2019	J	`jnl`	Learning the stress function pattern of ordered weighted average aggregation using DBSCAN clustering. Int. J. Intell. Syst. Resmiye Nasiboglu, Baris Tekin Tezel, Efendi N. Nasibov
2018	—	`conf`	Comparing the Developer Experience with two Multi-Agents Systems DSLs: SEA_ML++ and DSML4MAS - Study Design. MoDELS (Workshops) João Silva, Ankica Barisic, Vasco Amaral, Miguel Goulão, Baris Tekin Tezel, Ömer Faruk Alaca, Moharram Challenger, Geylani Kardas
2018	J	`jnl`	Domain-specific modelling language for belief-desire-intention software agents. IET Softw. Geylani Kardas, Baris Tekin Tezel, Moharram Challenger
2018	—	`conf`	Improving the Usability of a MAS DSML. EMAS@AAMAS Tomás Miranda, Moharram Challenger, Baris Tekin Tezel, Omer Faruk Alaca, Ankica Barisic, Vasco Amaral, Miguel Goulão, Geylani Kardas
2018	—	`conf`	Towards Providing Debugging in the Domain-Specific Modeling Languages for Software Agents. MoDELS (Workshops) Baris Tekin Tezel, Geylani Kardas
2016	—	`conf`	A Metamodel for Jason BDI Agents. SLATE Baris Tekin Tezel, Moharram Challenger, Geylani Kardas

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.