AIware 2025 Contributors

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Results (211)

A Bram AdamsAdams, Bram Queen's UniversityCanada Steering Committee Member in Steering Committee for AIware 2025
Eddie AftandilianAftandilian, Eddie GitHub NextUnited States Steering Committee Member in Steering Committee for AIware 2025
Moataz AhmedAhmed, Moataz King Fahd University of Petroleum and Minerals Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment
Paulo AlencarAlencar, Paulo University of WaterlooCanada Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests
Shaukat AliAli, Shaukat Simula Research Laboratory and Oslo Metropolitan UniversityNorway Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles
Aamer AljagthamiAljagthami, Aamer Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
Musab AlshehriAlshehri, Musab Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
Florian AngermeirAngermeir, Florian fortiss GmbH Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Chetan AroraArora, Chetan Monash UniversityAustralia Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Aitor ArrietaArrieta, Aitor Mondragon UniversitySpain Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles
Wesley K. G. AssunçãoAssunção, Wesley K. G. Johannes Kepler University Linz Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests Beyond Code Explanations: A Ray of Hope for Cross-Language Vulnerability Repair
B Sebastian BaltesBaltes, Sebastian Heidelberg UniversityGermany Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Mohammed BanabilaBanabila, Mohammed Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
Malak BaslymanBaslyman, Malak King Fahd University of Petroleum & Minerals Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment
Davy BaíaBaía, Davy Federal University of AlagoasBrazil Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests Beyond Code Explanations: A Ray of Hope for Cross-Language Vulnerability Repair
Amel BennaceurBennaceur, Amel The Open University, UKUnited Kingdom Committee Member in Program Committee within the AIware Main Track-track
Cor-Paul BezemerBezemer, Cor-Paul University of AlbertaCanada Committee Member in Program Committee within the AIware Main Track-track
Varun BhartiBharti, Varun Combining Reasoning Optimized LLMs and SMT Solvers for Automated Loop Invariant Synthesis
Adam BodicoatBodicoat, Adam University of Auckland Understanding LLM-Driven Test Oracle Generation
Jan BoschBosch, Jan Chalmers University of TechnologySweden Committee Member in Program Committee within the AIware Main Track-track
Timofey BryksinBryksin, Timofey JetBrains ResearchCyprus Committee Member in Program Committee within the AIware Main Track-track
Lukas BöhmeBöhme, Lukas Hasso Plattner Institute, University of Potsdam, Potsdam, GermanyGermany Guidelines for Empirical Studies in Software Engineering involving Large Language Models
C Fabio CalefatoCalefato, Fabio University of BariItaly Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Sivajeet ChandChand, Sivajeet Technical University of Munich Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study
Satish ChandraChandra, Satish Google, IncUnited States Steering Committee Member in Steering Committee for AIware 2025 Committee Member in Program Committee within the AIware Main Track-track
Chunyang ChenChen, Chunyang TU MunichGermany Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Fuxiang ChenChen, Fuxiang University of Leicester, UK PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Huaming ChenChen, Huaming The University of SydneyAustralia Committee Member in Program Committee within the AIware Main Track-track
Rufeng ChenChen, Rufeng McGill University Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
Tianyu ChenChen, Tianyu Microsoft Research Asia Committee Member in Program Committee within the AIware Main Track-track
Tse-Hsun (Peter) ChenChen, Tse-Hsun (Peter) Concordia UniversityCanada Committee Member in Program Committee within the AIware Main Track-track
Cheng ChengCheng, Cheng Concordia University CFCEval: Evaluating Security Aspects in Code Generated by Large Language Models
Shing-Chi CheungCheung, Shing-Chi Hong Kong University of Science and TechnologyChina Steering Committee Member in Steering Committee for AIware 2025
Moataz ChouchenChouchen, Moataz Department of Electrical and Computer Engineering, Concordia University, Montreal, CanadaTunisia PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
D Mohammad D. AlahmadiD. Alahmadi, Mohammad Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
Myron David PeixotoDavid Peixoto, Myron Federal University of AlagoasBrazil Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests
Ronnie de Souza Santosde Souza Santos, Ronnie University of CalgaryCanada Model-Assisted and Human-Guided: Perceptions and Practices of Software Professionals Using LLMs for Coding Software Testing with Large Language Models: An Interview Study with Practitioners
Antonio Della PortaDella Porta, Antonio University of SalernoItaly PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Maria DeolindaDeolinda, Maria Cesar school Software Testing with Large Language Models: An Interview Study with Practitioners
Tapajit DeyDey, Tapajit Carnegie Mellon University Software Engineering InstituteUnited States Committee Member in Program Committee within the AIware Main Track-track
Massimiliano Di PentaDi Penta, Massimiliano University of Sannio, ItalyItaly Steering Committee Member in Steering Committee for AIware 2025
Danny DigDig, Danny University of Colorado Boulder, JetBrains ResearchUnited States Steering Committee Member in Steering Committee for AIware 2025
Emre DinDin, Emre Bilkent University Judge the Votes: A System to Classify Bug Reports and Give Suggestions
Ximing DongDong, Ximing Centre for Software Excellence at Huawei CanadaCanada PromptExp: Multi-granularity Prompt Explanation of Large Language Models
Benedikt DornauerDornauer, Benedikt University of Innsbruck; University of CologneAustria The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Andreas DreschinskiDreschinski, Andreas Akkodis The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
E Neil ErnstErnst, Neil University of VictoriaCanada Guidelines for Empirical Studies in Software Engineering involving Large Language Models
F Davide FalessiFalessi, Davide University of Rome Tor Vergata, ItalyItaly Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Youmei FanFan, Youmei Nara Institute of Science and TechnologyJapan Human to Document, AI to Code: Three Case Studies of Comparing GenAI for Notebook Competitions
Brian FitzgeraldFitzgerald, Brian Lero - The Irish Software Research Centre and University of LimerickIreland Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Baldoino FonsecaFonseca, Baldoino Universidade Federal de Alagoas Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests Beyond Code Explanations: A Ray of Hope for Cross-Language Vulnerability Repair
Michael FuFu, Michael The University of MelbourneAustralia SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for AI-Powered Software
Davide FucciFucci, Davide Blekinge Institute of TechnologySweden Guidelines for Empirical Studies in Software Engineering involving Large Language Models
G Cuiyun GaoGao, Cuiyun Harbin Institute of Technology, ShenzhenChina Publications Chair in Organizing Committee for AIware 2025 Committee Member in Program Committee within the AIware Main Track-track
Asif GillGill, Asif University of Technology SydneyAustralia Committee Member in Program Committee within the AIware Main Track-track
Julia Gomez-RangelGomez-Rangel, Julia Texas A&M University - Corpus Christi Security in the Wild: An Empirical Analysis of LLM-Powered Applications and Local Inference Frameworks
Robin GröplerGröpler, Robin The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Ruizhen GuGu, Ruizhen University of SheffieldUnited Kingdom On the Promises and Challenges of AI-Powered XR Glasses as Embodied Software
Priyanshu GuptaGupta, Priyanshu MicrosoftIndia Committee Member in Program Committee within the AIware Main Track-track
H Mark HarmanHarman, Mark Meta Platforms, Inc. and UCLUnited Kingdom Committee Member in Program Committee within the AIware Main Track-track
Ahmed E. HassanHassan, Ahmed E. Queen’s UniversityCanada Steering Committee Co-Chair in Steering Committee for AIware 2025 Steering Committee Co-Chair in Organizing Committee for AIware 2025 PromptExp: Multi-granularity Prompt Explanation of Large Language Models
Shinpei HayashiHayashi, Shinpei Institute of Science TokyoJapan Committee Member in Program Committee within the AIware Main Track-track
Fatemeh Hendijani FardHendijani Fard, Fatemeh University of British Columbia, OkanaganCanada Benchmark&Dataset Track Chair in Organizing Committee for AIware 2025 PC Chair in Program Committee within the AIware Benchmark & Dataset Track-track
Yintong HuoHuo, Yintong Singapore Management University, SingaporeSingapore Envisioning Future Interactive Web Development: Editing Webpage with Natural Language Committee Member in Program Committee within the AIware Main Track-track
I Katsuro InoueInoue, Katsuro Nanzan UniversityJapan Committee Member in Program Committee within the AIware Main Track-track
James IversIvers, James Carnegie Mellon UniversityUnited States Committee Member in Program Committee within the AIware Main Track-track
Maliheh IzadiIzadi, Maliheh Delft University of TechnologyNetherlands ArXiv Track Co-chair in Organizing Committee for AIware 2025 ArXiv Track Co-chair in Program Committee within the AIware ArXiv Track-track
J Gunel JahangirovaJahangirova, Gunel King's College LondonUnited Kingdom Understanding LLM-Driven Test Oracle Generation
Mahmoud JahanshahiJahanshahi, Mahmoud University of TennesseeUnited States Committee Member in Program Committee within the AIware Main Track-track
Pankaj JaloteJalote, Pankaj Combining Reasoning Optimized LLMs and SMT Solvers for Automated Loop Invariant Synthesis
Shashwat JhaJha, Shashwat Combining Reasoning Optimized LLMs and SMT Solvers for Automated Loop Invariant Synthesis
Jie-Hong Roland JiangJiang, Jie-Hong Roland National Taiwan University Neuro-Symbolic Compliance: Integrating LLMs and SMT for Automated Financial Legal Analysis
Shuaishuai JiangJiang, Shuaishuai Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
Zhen Ming (Jack) JiangJiang, Zhen Ming (Jack) York University Canada Steering Committee Member in Steering Committee for AIware 2025 Committee Member in Program Committee within the AIware Main Track-track
Jack JohnsJohns, Jack The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
K Mohammed KabiniKabini, Mohammed Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
Marcos KalinowskiKalinowski, Marcos Pontifical Catholic University of Rio de Janeiro (PUC-Rio)Brazil Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Rabimba KaranjaiKaranjai, Rabimba University of HoustonUnited States Securing the Multi-Chain Ecosystem: A Unified, Agent-Based Framework for Vulnerability Repair in Solidity and Move HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
Ranim KhojahKhojah, Ranim Chalmers University of Technology and University of GothenburgSweden Publicity Chair in Organizing Committee for AIware 2025
Foutse KhomhKhomh, Foutse Polytechnique MontréalCanada Steering Committee Member in Steering Committee for AIware 2025
Melih KilicKilic, Melih Technical University of Munich Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study
Dong Jae KimKim, Dong Jae DePaul UniversityUnited States PC Member in Program Committee within the AIware Benchmark & Dataset Track-track Committee Member in Program Committee within the AIware Main Track-track
Steffen KlepkeKlepke, Steffen The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Masanari KondoKondo, Masanari Kyushu UniversityJapan Committee Member in Program Committee within the AIware Main Track-track
Jacob KrügerKrüger, Jacob Eindhoven University of TechnologyNetherlands PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Hongyu KuangKuang, Hongyu Nanjing UniversityChina PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Raula Gaikovina KulaKula, Raula Gaikovina The University of OsakaJapan Human to Document, AI to Code: Three Case Studies of Comparing GenAI for Notebook Competitions Committee Member in Program Committee within the AIware Main Track-track
Sushant Kumar PandeyKumar Pandey, Sushant University of Groningen, The NetherlandsNetherlands Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study
Dhruv KumarKumar, Dhruv BITS Pilani Combining Reasoning Optimized LLMs and SMT Solvers for Automated Loop Invariant Synthesis
L Stefano LambiaseLambiase, Stefano Department of Computer Science, Aalborg University, DenmarkDenmark Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Young LeeLee, Young Texas A & M University - San AntonioUnited States Security in the Wild: An Empirical Analysis of LLM-Powered Applications and Local Inference Frameworks
Philipp LeitnerLeitner, Philipp Chalmers \| University of GothenburgSweden Committee Member in Program Committee within the AIware Main Track-track
Ge LiLi, Ge Peking UniversityChina Committee Member in Program Committee within the AIware Main Track-track
Hao LiLi, Hao Queen's UniversityCanada PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Shanshan LiLi, Shanshan Nanjing UniversityChina Committee Member in Program Committee within the AIware Main Track-track
Zhenhao LiLi, Zhenhao York UniversityCanada Committee Member in Program Committee within the AIware Main Track-track
Jenny T. LiangLiang, Jenny T. Carnegie Mellon UniversityUnited States ArXiv Track Co-chair in Organizing Committee for AIware 2025 ArXiv Track Co-chair in Program Committee within the AIware ArXiv Track-track
Peng LiangLiang, Peng Wuhan University, ChinaChina Committee Member in Program Committee within the AIware Main Track-track
Lizhi LiaoLiao, Lizhi Memorial University of NewfoundlandCanada Committee Member in Program Committee within the AIware Main Track-track
Dayi LinLin, Dayi Centre for Software Excellence, Huawei CanadaCanada Steering Committee Member in Steering Committee for AIware 2025 PromptExp: Multi-granularity Prompt Explanation of Large Language Models
Kevin LiraLira, Kevin North Carolina State UniversityUnited States Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests Beyond Code Explanations: A Ray of Hope for Cross-Language Vulnerability Repair
Bozhen LiuLiu, Bozhen Texas A&M University - Corpus Christi Security in the Wild: An Empirical Analysis of LLM-Powered Applications and Local Inference Frameworks
Yepang LiuLiu, Yepang Southern University of Science and TechnologyChina Committee Member in Program Committee within the AIware Main Track-track
Yue LiuLiu, Yue Australian National UniversityAustralia Committee Member in Program Committee within the AIware Main Track-track
David LoLo, David Singapore Management UniversitySingapore Steering Committee Member in Steering Committee for AIware 2025
Yiling LouLou, Yiling University of Illinois at Urbana-ChampaignUnited States Steering Committee Member in Steering Committee for AIware 2025 Program Co-Chair in Organizing Committee for AIware 2025 Program Co-Chair in Program Committee within the AIware Main Track-track
Chengjie LuLu, Chengjie Simula Research Laboratory and University of OsloNorway Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles
Qinghua LuLu, Qinghua Data61, CSIROAustralia Program Co-Chair in Organizing Committee for AIware 2025 Program Co-Chair in Program Committee within the AIware Main Track-track
Mircea LunguLungu, Mircea IT University, Copenhagen Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Michael LyuLyu, Michael The Chinese University of Hong Kong Committee Member in Program Committee within the AIware Main Track-track
M Jie M. ZhangM. Zhang, Jie King's College LondonUnited Kingdom Steering Committee Member in Steering Committee for AIware 2025 General Chair in Organizing Committee for AIware 2025
Chandra MaddilaMaddila, Chandra Meta Platforms, Inc.United States Committee Member in Program Committee within the AIware Main Track-track
Cleyton MagalhaesMagalhaes, Cleyton Universidade Federal Rural de PernambucoBrazil Model-Assisted and Human-Guided: Perceptions and Practices of Software Professionals Using LLMs for Coding Software Testing with Large Language Models: An Interview Study with Practitioners
Petros ManiatisManiatis, Petros Google DeepMindUnited States Steering Committee Member in Steering Committee for AIware 2025 Committee Member in Program Committee within the AIware Main Track-track
Kenichi MatsumotoMatsumoto, Kenichi Nara Institute of Science and Technology Human to Document, AI to Code: Three Case Studies of Comparing GenAI for Notebook Competitions Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases
Ali MesbahMesbah, Ali University of British ColumbiaCanada Committee Member in Program Committee within the AIware Main Track-track
Mariam El MezouarMezouar, Mariam El Royal Military CollegeCanada PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Alessandro MidoloMidolo, Alessandro University of CataniaItaly PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Audris MockusMockus, Audris University of Tennessee Committee Member in Program Committee within the AIware Main Track-track
Mazen MohamadMohamad, Mazen Chalmers \| RISE - Research Institutes of Sweden Committee Member in Program Committee within the AIware Main Track-track
AJung MoonMoon, AJung McGill University Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
Tatsuya MoriMori, Tatsuya Waseda University CHASE: LLM Agents for Dissecting Malicious PyPI Packages
Mohammad Reza MousaviMousavi, Mohammad Reza King's College LondonUnited Kingdom The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Gail MurphyMurphy, Gail University of British ColumbiaCanada Steering Committee Member in Steering Committee for AIware 2025
Marvin Muñoz BarónMuñoz Barón, Marvin Technical University of MunichGermany Guidelines for Empirical Studies in Software Engineering involving Large Language Models
N Mei NagappanNagappan, Mei University of WaterlooCanada Committee Member in Program Committee within the AIware Main Track-track
Nachiappan NagappanNagappan, Nachiappan Meta Platforms, Inc.United States Steering Committee Member in Steering Committee for AIware 2025
Nathalia NascimentoNascimento, Nathalia Pennsylvania State UniversityUnited States PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Nathalia NascimentoNascimento, Nathalia Pennsylvania State University Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests
Md Nazmul HaqueNazmul Haque, Md North Carolina State University How Quantization Impacts Privacy Risk on LLMs for Code?
Joost NoppenNoppen, Joost The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
O Humphrey ObieObie, Humphrey Monash UniversityAustralia A Vision for Value-Aligned AI-Driven Systems
Ipek OzkayaOzkaya, Ipek Carnegie Mellon UniversityUnited States Steering Committee Member in Steering Committee for AIware 2025
P Fabio PalombaPalomba, Fabio University of SalernoItaly Committee Member in Program Committee within the AIware Main Track-track
Alessandra ParzialeParziale, Alessandra University of SalernoItaly PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Chao PengPeng, Chao ByteDanceChina Steering Committee Member in Steering Committee for AIware 2025
Denys PoshyvanykPoshyvanyk, Denys William & MaryUnited States Steering Committee Member in Steering Committee for AIware 2025 Committee Member in Program Committee within the AIware Main Track-track
Lutz PrecheltPrechelt, Lutz Freie Universität BerlinGermany Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Alexander PretschnerPretschner, Alexander TU MunichGermany Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study
R Gopi Krishnan RajbahadurRajbahadur, Gopi Krishnan Centre for Software Excellence, Huawei, Canada PromptExp: Multi-granularity Prompt Explanation of Large Language Models
Paul RalphRalph, Paul Dalhousie UniversityCanada Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Baishakhi RayRay, Baishakhi Columbia UniversityUnited States Steering Committee Member in Steering Committee for AIware 2025
Xiaoxue RenRen, Xiaoxue Zhejiang UniversityChina Committee Member in Program Committee within the AIware Main Track-track
Márcio RibeiroRibeiro, Márcio Federal University of Alagoas, BrazilBrazil Turning Manual Tasks into Actions: Assessing the Effectiveness of Gemini-generated Selenium Tests Beyond Code Explanations: A Ray of Hope for Cross-Language Vulnerability Repair
José Miguel RojasRojas, José Miguel University of SheffieldUnited Kingdom On the Promises and Challenges of AI-Powered XR Glasses as Embodied Software
Daniel RussoRusso, Daniel Department of Computer Science, Aalborg UniversityDenmark Guidelines for Empirical Studies in Software Engineering involving Large Language Models
S Italo SantosSantos, Italo University of Hawai‘i at MānoaUnited States Model-Assisted and Human-Guided: Perceptions and Practices of Software Professionals Using LLMs for Coding
Klaus SchmidSchmid, Klaus The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Shahd SeddikSeddik, Shahd University of British ColumbiaCanada PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Tasha SettewongSettewong, Tasha Nara Institute of Science and TechnologyJapan Human to Document, AI to Code: Three Case Studies of Comparing GenAI for Notebook Competitions
Beum SeukSeuk, Beum BT Group PLC The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Wenliang ShanShan, Wenliang Monash University SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for AI-Powered Software
Weiyi ShangShang, Weiyi University of Waterloo Committee Member in Program Committee within the AIware Main Track-track
YUNG SHEN HSIASHEN HSIA, YUNG National Chengchi University Neuro-Symbolic Compliance: Integrating LLMs and SMT for Automated Financial Legal Analysis
Jiyun ShenShen, Jiyun Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
Weidong ShiShi, Weidong University of HoustonUnited States Securing the Multi-Chain Ecosystem: A Unified, Agent-Based Framework for Vulnerability Repair in Solidity and Move HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
Kazumasa ShimariShimari, Kazumasa Nara Institute of Science and TechnologyJapan Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases
Donghwan ShinShin, Donghwan University of SheffieldUnited Kingdom On the Promises and Challenges of AI-Powered XR Glasses as Embodied Software
Gustavo SoaresSoares, Gustavo MicrosoftUnited States Industry Track Chair in Organizing Committee for AIware 2025
Margaret-Anne StoreyStorey, Margaret-Anne University of Victoria Steering Committee Member in Steering Committee for AIware 2025 Generative AI and Empirical Software Engineering: A Paradigm Shift
Charles SuttonSutton, Charles Google ResearchUnited States Steering Committee Member in Steering Committee for AIware 2025
T Haruto TanakaTanaka, Haruto Nara Institute of Science and Technology Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases
Hidetake TanakaTanaka, Hidetake Nara Institute of Science and TechnologyJapan Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases
Yongjian TangTang, Yongjian Siemens AG, GermanyGermany The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Kla TantithamthavornTantithamthavorn, Kla Monash University and AtlassianAustralia SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for AI-Powered Software
Valerio TerragniTerragni, Valerio University of AucklandNew Zealand Understanding LLM-Driven Test Oracle Generation
Takaaki TodaToda, Takaaki Waseda UniversityJapan CHASE: LLM Agents for Dissecting Malicious PyPI Packages
Christoph TreudeTreude, Christoph Singapore Management UniversitySingapore Guidelines for Empirical Studies in Software Engineering involving Large Language Models Generative AI and Empirical Software Engineering: A Paradigm Shift
Dang TruongTruong, Dang Singapore Management University Envisioning Future Interactive Web Development: Editing Webpage with Natural Language
Eray TüzünTüzün, Eray Bilkent UniversityTurkey The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project Judge the Votes: A System to Classify Bug Reports and Give Suggestions Committee Member in Program Committee within the AIware Main Track-track
V Johannes ViehmannViehmann, Johannes Fraunhofer FOKUS, Germany The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Gianmario VoriaVoria, Gianmario University of SalernoItaly PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
W Stefan WagnerWagner, Stefan Technical University of MunichGermany Guidelines for Empirical Studies in Software Engineering involving Large Language Models
Qin WangWang, Qin CSIRO Data61 Committee Member in Program Committee within the AIware Main Track-track
Shaowei WangWang, Shaowei University of ManitobaCanada PromptExp: Multi-granularity Prompt Explanation of Large Language Models
Yanlin WangWang, Yanlin Sun Yat-sen UniversityChina PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Hironori WashizakiWashizaki, Hironori Waseda UniversityJapan Steering Committee Member in Steering Committee for AIware 2025 Committee Member in Program Committee within the AIware Main Track-track
Lili WeiWei, Lili McGill UniversityCanada Examining the Usage of Generative AI Models in Student Learning Activities for Software Programming
Jinfeng WenWen, Jinfeng Beijing University of Posts and TelecommunicationsChina Committee Member in Program Committee within the AIware Main Track-track
Jiahui WuWu, Jiahui Simula Research Laboratory and University of OsloNorway Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles
Jie JW WuWu, Jie JW University of British Columbia (UBC)Canada PC Member in Program Committee within the AIware Benchmark & Dataset Track-track
Roland WürschingWürsching, Roland Technical University of Munich Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study
X Boming XiaXia, Boming Responsible AI Research (RAIR) Centre, Adelaide UniversityAustralia Committee Member in Program Committee within the AIware Main Track-track
Jingyu XiaoXiao, Jingyu The Chinese University of Hong Kong Envisioning Future Interactive Web Development: Editing Webpage with Natural Language
Danning XieXie, Danning Purdue University Committee Member in Program Committee within the AIware Main Track-track
Bowen XuXu, Bowen North Carolina State UniversityUnited States How Quantization Impacts Privacy Risk on LLMs for Code?
Lei XuXu, Lei Kent State UniversityUnited States Securing the Multi-Chain Ecosystem: A Unified, Agent-Based Framework for Vulnerability Repair in Solidity and Move HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
Xiwei (Sherry) XuXu, Xiwei (Sherry) Data61, CSIROAustralia Committee Member in Program Committee within the AIware Main Track-track
Y Asma YamaniYamani, Asma King Fahd University of Petroleum and Minerals Are We Aligned? A Preliminary Investigation of the Alignment of Responsible AI Values between LLMs and Human Judgment
Hua yangyang, Hua North Carolina State University How Quantization Impacts Privacy Risk on LLMs for Code?
Jinqiu YangYang, Jinqiu Concordia UniversityCanada CFCEval: Evaluating Security Aspects in Code Generated by Large Language Models
Rui YangYang, Rui Monash University and Transurban SEALGuard: Safeguarding the Multilingual Conversations in Southeast Asian Languages for AI-Powered Software
Zhou YangYang, Zhou University of Alberta, Alberta Machine Intelligence Institute Canada How Quantization Impacts Privacy Risk on LLMs for Code?
Kundi YaoYao, Kundi University of WaterlooCanada Committee Member in Program Committee within the AIware Main Track-track
Norihiro YoshidaYoshida, Norihiro Ritsumeikan UniversityJapan Committee Member in Program Committee within the AIware Main Track-track
Fang YuYu, Fang National Chengchi University Neuro-Symbolic Compliance: Integrating LLMs and SMT for Automated Financial Legal Analysis
Z Andreas ZellerZeller, Andreas CISPA Helmholtz Center for Information SecurityGermany Steering Committee Member in Steering Committee for AIware 2025
David ZhangZhang, David Commonwealth Bank of AustraliaAustralia Committee Member in Program Committee within the AIware Main Track-track
Hongyu ZhangZhang, Hongyu Chongqing UniversityChina Committee Member in Program Committee within the AIware Main Track-track
Jingqiong ZhangZhang, Jingqiong University of SheffieldUnited Kingdom On the Promises and Challenges of AI-Powered XR Glasses as Embodied Software
Lingming ZhangZhang, Lingming University of Illinois at Urbana-ChampaignUnited States Steering Committee Member in Steering Committee for AIware 2025
Lingming ZhangZhang, Lingming University of Illinois at Urbana-Champaign Committee Member in Program Committee within the AIware Main Track-track
Yakun ZhangZhang, Yakun Peking UniversityChina Committee Member in Program Committee within the AIware Main Track-track
Zejun ZhangZhang, Zejun Nanyang Technological UniversitySingapore Committee Member in Program Committee within the AIware Benchmark & Dataset Track-track
Xin ZhouZhou, Xin Singapore Management University, SingaporeSingapore Committee Member in Program Committee within the AIware Main Track-track
Liming ZhuZhu, Liming CSIRO’s Data61Australia Steering Committee Member in Steering Committee for AIware 2025
Eric ZieZie, Eric The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Thomas ZimmermannZimmermann, Thomas University of California, IrvineUnited States Steering Committee Co-Chair in Steering Committee for AIware 2025 Steering Committee Co-Chair in Organizing Committee for AIware 2025
Adam ZiolkowskiZiolkowski, Adam BTUnited Kingdom The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
Ying ZouZou, Ying Queen's University, Kingston, OntarioCanada Committee Member in Program Committee within the AIware Main Track-track
Ş Selin Şirin AslangülŞirin Aslangül, Selin The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project