Intelligent SE 2025 Contributors - Intelligent SE 2025

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A Mohammad Nour Al AwadAl Awad, Mohammad Nour ITMO UniversityRussia Optimizing LLM Code Suggestions: Feedback-Driven Timing with Lightweight State Bounds
Abid AliAli, Abid Northwestern UniversityUnited States Fair Developer Score: Build-Adjusted Measurement of Effort and Impact
Ahmad AntarAntar, Ahmad Digital EmissionsUnited States Fair Developer Score: Build-Adjusted Measurement of Effort and Impact
B Richard Berntsson SvenssonBerntsson Svensson, Richard Chalmers University of Technology & University of GothenburgSweden AI for Requirements Engineering: Industry adoption and Practitioner perspectives
Aleksei BorodulinBorodulin, Aleksei Bauman Moscow State Technical UniversityRussia Automated Evolutionary Hyperparameter Tuning for NLP-Based Test Case Generation
C Morakot ChoetkiertikulChoetkiertikul, Morakot Mahidol University, ThailandThailand Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
Sebastian CopeiCopei, Sebastian Fraunhofer IEEGermany LLMs Choose the Right Stack: From Patterns to Tools
D Devon DelgadoDelgado, Devon Digital EmissionsUnited States Fair Developer Score: Build-Adjusted Measurement of Effort and Impact
E Tobias EisenreichEisenreich, Tobias Technical University of MunichGermany Leveraging Large Language Models for Use Case Model Generation from Software Requirements
F Youmei FanFan, Youmei Nara Institute of Science and TechnologyJapan Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
Robert FeldtFeldt, Robert Chalmers \| University of GothenburgSweden AI for Requirements Engineering: Industry adoption and Practitioner perspectives
Jinghan FengFeng, Jinghan Northwestern UniversityUnited States Fair Developer Score: Build-Adjusted Measurement of Effort and Impact
Nicholas FriedlaenderFriedlaender, Nicholas Technical University of Munich (TUM)Germany Leveraging Large Language Models for Use Case Model Generation from Software Requirements
G Andrei GantimurovGantimurov, Andrei Bauman Moscow State Technical UniversityRussia Automated Evolutionary Hyperparameter Tuning for NLP-Based Test Case Generation
H Jueun HeoHeo, Jueun Gyeongsang National University Explainable AI for Issue Classification: A Multi-class Study with LIME and SHAP
Oliver HohlfeldHohlfeld, Oliver University of KasselGermany LLMs Choose the Right Stack: From Patterns to Tools
Chenyu HuHu, Chenyu Institute of Science TokyoJapan Towards MPC-driven Software Adaptation: A Dual-Layer Approach Combining ICNN-based Modeling and Delta-based Tuning
I Sergey IvanovIvanov, Sergey ITMO UniversityRussia Optimizing LLM Code Suggestions: Feedback-Driven Timing with Lightweight State Bounds
J Yong-Kee JunJun, Yong-Kee Gyeongsang National UniversitySouth Korea Session Chair of Session 2 (part of Intelligent SE)
K Jens KosiolKosiol, Jens Philipps-Universität MarburgGermany LLMs Choose the Right Stack: From Patterns to Tools
Raula Gaikovina KulaKula, Raula Gaikovina The University of OsakaJapan Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
Sergei KurashkinKurashkin, Sergei Bauman Moscow State Technical UniversityRussia Automated Evolutionary Hyperparameter Tuning for NLP-Based Test Case Generation
L Seonah LeeLee, Seonah Gyeongsang National UniversitySouth Korea Explainable AI for Issue Classification: A Multi-class Study with LIME and SHAP
Seongjin LeeLee, Seongjin Gyeongsang National UnviersitySouth Korea Session Chair of Session 1 (part of Intelligent SE)
Jialong LiLi, Jialong Waseda University, JapanJapan Towards MPC-driven Software Adaptation: A Dual-Layer Approach Combining ICNN-based Modeling and Delta-based Tuning
NIANYU LILI, NIANYU ZGC Lab, ChinaChina Towards MPC-driven Software Adaptation: A Dual-Layer Approach Combining ICNN-based Modeling and Delta-based Tuning
M Ivan MalashinMalashin, Ivan Bauman Moscow State Technical UniversityRussia Automated Evolutionary Hyperparameter Tuning for NLP-Based Test Case Generation
Igor MasichMasich, Igor Bauman Moscow State Technical UniversityRussia Automated Evolutionary Hyperparameter Tuning for NLP-Based Test Case Generation
Kenichi MatsumotoMatsumoto, Kenichi Nara Institute of Science and TechnologyJapan Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
Lekshmi Murali RaniMurali Rani, Lekshmi Chalmers University of Technology and University of Gothenburg, SwedenSweden AI for Requirements Engineering: Industry adoption and Practitioner perspectives
N Vladimir NelyubNelyub, Vladimir Bauman Moscow State Technical UniversityRussia Automated Evolutionary Hyperparameter Tuning for NLP-Based Test Case Generation
R Chaiyong RakhitwetsagulRakhitwetsagul, Chaiyong Mahidol University, ThailandThailand Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
Joshua RauvolaRauvola, Joshua University of ChicagoUnited States Fair Developer Score: Build-Adjusted Measurement of Effort and Impact
Aleksandar RistoskiRistoski, Aleksandar Fraunhofer IEEGermany LLMs Choose the Right Stack: From Patterns to Tools
S Yitong ShiShi, Yitong Institute of Science TokyoJapan Towards MPC-driven Software Adaptation: A Dual-Layer Approach Combining ICNN-based Modeling and Delta-based Tuning
Thanwadee SunetnantaSunetnanta, Thanwadee Mahidol UniversityThailand Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
T Kenji TeiTei, Kenji Institute of Science TokyoJapan Towards MPC-driven Software Adaptation: A Dual-Layer Approach Combining ICNN-based Modeling and Delta-based Tuning
Chayanid TermphaiboonTermphaiboon, Chayanid Mahidol UniversityThailand Exploring the SECURITY.md in the Dependency Chain: Preliminary Analysis of the PyPI Ecosystem
Olga TikhonovaTikhonova, Olga ITMO UniversityRussia Optimizing LLM Code Suggestions: Feedback-Driven Timing with Lightweight State Bounds
Vadim TynchenkoTynchenko, Vadim Bauman Moscow State Technical UniversityRussia Automated Evolutionary Hyperparameter Tuning for NLP-Based Test Case Generation
W Stefan WagnerWagner, Stefan Technical University of MunichGermany Leveraging Large Language Models for Use Case Model Generation from Software Requirements
Xinzhou WangWang, Xinzhou Northwestern UniversityUnited States Fair Developer Score: Build-Adjusted Measurement of Effort and Impact
Lili WeiWei, Lili McGill UniversityCanada Keynote Speech
Z Mingyue ZhangZhang, Mingyue Southwest UniversityChina Towards MPC-driven Software Adaptation: A Dual-Layer Approach Combining ICNN-based Modeling and Delta-based Tuning
Zixuan ZhangZhang, Zixuan Northwestern UniversityUnited States Fair Developer Score: Build-Adjusted Measurement of Effort and Impact
Jiancong ZhuZhu, Jiancong Northwestern UniversityUnited States Fair Developer Score: Build-Adjusted Measurement of Effort and Impact