CAIN 2024 Contributors

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Results (235)

A Hala AbdelkaderAbdelkader, Hala Applied Artificial Intelligence Institute, Deakin University ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study
Ahmad AbdellatifAbdellatif, Ahmad University of CalgaryCanada DVC in Open Source AI-development: The Action and the Reaction
Mohamed AbdelrazekAbdelrazek, Mohamed Deakin University, AustraliaAustralia ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study LLMs for Test Input Generation for Semantic Applications Seven Failure Points When Engineering a Retrieval Augmented Generation System
Sallam AbualhaijaAbualhaija, Sallam University of LuxembourgLuxembourg PC Member in Program Committee within the CAIN Doctoral Symposium-track
Ankit AgrawalAgrawal, Ankit Saint Louis University, MissouriUnited States Web Chair in Organizing Committee for CAIN 2024 Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Negar AlizadehAlizadeh, Negar Universiteit Utrecht Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
Alireza AsadiAsadi, Alireza Department of Computer Engineering of Sharif University of TechnologyIran A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation
Wesley AssunçãoAssunção, Wesley North Carolina State UniversityUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
B Maria Teresa BaldassarreBaldassarre, Maria Teresa Department of Computer Science, University of Bari Italy Investigating the Impact of Solid Design Principles on Machine Learning Code Understanding POLARIS: A framework to guide the development of Trustworthy AI systems
Sherwin BalugoBalugo, Sherwin Applied Artificial Intelligence Institute, Deakin University LLMs for Test Input Generation for Semantic Applications
Scott BarnettBarnett, Scott Applied Artificial Intelligence Institute, Deakin University Green Runner: A tool for efficient deep learning component selection ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study LLMs for Test Input Generation for Semantic Applications Seven Failure Points When Engineering a Retrieval Augmented Generation System
Earl T. BarrBarr, Earl T. University College LondonUnited Kingdom Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Sven BauerBauer, Sven Siemens HealthineersGermany Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Nelly BencomoBencomo, Nelly Durham UniversityUnited Kingdom Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Amel BennaceurBennaceur, Amel The Open University, UKUnited Kingdom Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Christian BergerBerger, Christian Chalmers University of Technology, Sweden Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models Prompt Smells: An Omen for Undesirable Generative AI Outputs
Cor-Paul BezemerBezemer, Cor-Paul University of AlbertaCanada An Exploratory Study of Dataset and Model Management in Open Source Machine Learning Applications
Justus BognerBogner, Justus Vrije Universiteit AmsterdamNetherlands Doctoral Symposium Co-Chair in Organizing Committee for CAIN 2024 Session Chair of Doctoral Symposium and Energy-Aware AI Engineering (part of CAIN Research and Experience Papers) PC Chair in Program Committee within the CAIN Doctoral Symposium-track Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Jan BoschBosch, Jan Chalmers University of TechnologySweden Author in Steering Committee for CAIN 2024 General Chair in Organizing Committee for CAIN 2024 Session Chair of Keynote and Posters (part of CAIN Research and Experience Papers) Closing Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Zach BrannellyBrannelly, Zach Deakin University Seven Failure Points When Engineering a Retrieval Augmented Generation System
Lionel BriandBriand, Lionel University of Ottawa, Canada; Lero centre, University of Limerick, IrelandCanada Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Björn BrinneBrinne, Björn KingSweden PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Vanilson BurégioBurégio, Vanilson Bureau Works Innovating Translation: Lessons Learned from BWX Generative Language Engine
C Henrique CabralCabral, Henrique Innovating Translation: Lessons Learned from BWX Generative Language Engine
Raphael CabralCabral, Raphael Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Investigating the Impact of Solid Design Principles on Machine Learning Code Understanding
Beatriz Cabrero-DanielCabrero-Daniel, Beatriz University of GothenburgSweden Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models Prompt Smells: An Omen for Undesirable Generative AI Outputs
Javier CamaraCamara, Javier University of MálagaSpain Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Andrea CapiluppiCapiluppi, Andrea Brunel UniversityUnited Kingdom KnowING Intelligent Document Classification: A Deep Dive into Microservices and Efficient Models at ING
Nicolás CardozoCardozo, Nicolás Universidad de los AndesColombia Session Chair of Architecting, Designing, Managing, and Modeling AI-Enabled Systems (part of CAIN Research and Experience Papers) Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Fernando CastorCastor, Fernando University of Twente and Federal University of Pernambuco Green AI: a Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
Wing-Kwong ChanChan, Wing-Kwong City University of Hong KongChina Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Jaganmohan ChandrasekaranChandrasekaran, Jaganmohan Virginia TechUnited States A Combinatorial Testing Approach to Hyperparameter Optimization Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Sun ChangChang, Sun Waseda University, Japan Evaluation of The Generality of Multi-view Modeling Framework for ML Systems
Kaiwei ChenChen, Kaiwei Vrije Universiteit Amsterdam The Impact of Knowledge Distillation on the Performance and Energy Consumption of NLP Models
Tse-Hsun (Peter) ChenChen, Tse-Hsun (Peter) Concordia UniversityCanada DVC in Open Source AI-development: The Action and the Reaction
Shing-Chi CheungCheung, Shing-Chi Hong Kong University of Science and TechnologyChina Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Zakaria ChihaniChihani, Zakaria CEA, LIST, France Trustworthy AI: Industry-Guided Tooling of the Methods
Morakot ChoetkiertikulChoetkiertikul, Morakot Mahidol University, ThailandThailand Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Jane Cleland-HuangCleland-Huang, Jane University of Notre DameUnited States Author in Steering Committee for CAIN 2024 Doctoral Symposium Co-Chair in Organizing Committee for CAIN 2024 PC Chair in Program Committee within the CAIN Doctoral Symposium-track
Mario Cortes CornaxCornax, Mario Cortes LIG - UGA Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search
Luís CruzCruz, Luís Delft University of TechnologyNetherlands Industry Track Co-Chair in Organizing Committee for CAIN 2024 Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World Green Runner: A tool for efficient deep learning component selection PC Chair in Industry Track Program Committee within the CAIN Industry Talks-track PC Member in Program Committee within the CAIN Doctoral Symposium-track Committee Member in Posters Committee within the CAIN Posters-track
Helio Côrtes Vieira LopesCôrtes Vieira Lopes, Helio PUC-RioBrazil Investigating the Impact of Solid Design Principles on Machine Learning Code Understanding
D Alberto de Souzade Souza, Alberto Zup Innovation Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes
Cleidson de Souzade Souza, Cleidson Federal University of Pará, Brazil Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes
Santiago del Reydel Rey, Santiago Universitat Politècnica de Catalunya (UPC)Spain Software Design Decisions for Greener Machine Learning-based Systems
Davide Dell'AnnaDell'Anna, Davide Utrecht UniversityNetherlands Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Dario Di NucciDi Nucci, Dario University of SalernoItaly Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality
Christian DrabekDrabek, Christian Fraunhofer Institute for Cognitive Systems IKS Approach for Argumenting Safety on Basis of an Operational Design Domain
Francisco DuránDurán, Francisco Universitat Politècnica De Catalunya - Barcelona TechSpain Identifying architectural design decisions for achieving green ML serving
Ivana DusparicDusparic, Ivana Trinity College Dublin, Ireland Committee Member in Program Committee within the CAIN Research and Experience Papers-track
E Robert EdmanEdman, Robert Carnegie Mellon Software Engineering InstituteUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Tatiana EscovedoEscovedo, Tatiana Pontifical Catholic University of Rio de JaneiroBrazil Investigating the Impact of Solid Design Principles on Machine Learning Code Understanding
Lukas EsterleEsterle, Lukas Aarhus UniversityDenmark Committee Member in Posters Committee within the CAIN Posters-track
F Pouya FathollahzadehFathollahzadeh, Pouya Queen’s University DVC in Open Source AI-development: The Action and the Reaction
Michael FeldererFelderer, Michael German Aerospace Center (DLR) & University of CologneGermany Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Stephen J FinkFink, Stephen J FacebookUnited States PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Xavier FranchFranch, Xavier Universitat Politècnica de CatalunyaSpain PC Member in Program Committee within the CAIN Doctoral Symposium-track Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Yoshiaki FukazawaFukazawa, Yoshiaki Waseda UniversityJapan Evaluation of The Generality of Multi-view Modeling Framework for ML Systems
G Ilias GerostathopoulosGerostathopoulos, Ilias Vrije Universiteit AmsterdamNetherlands Committee Member in Posters Committee within the CAIN Posters-track
Smita GhaisasGhaisas, Smita TCS ResearchIndia Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Razan GhzouliGhzouli, Razan Chalmers University of Technology & University of GothenburgSweden Committee Member in Posters Committee within the CAIN Posters-track
Domenico GiganteGigante, Domenico SER&Practices and University of BariItaly POLARIS: A framework to guide the development of Trustworthy AI systems
Arda GoknilGoknil, Arda SINTEF Digital Engineering Carbon Emission-aware Machine Learning Pipelines
Ian GortonGorton, Ian Northeastern University – Seattle, USAUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Muhammad Ali GulzarGulzar, Muhammad Ali Virginia TechUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Jin L.C. GuoGuo, Jin L.C. McGill UniversityCanada PC Member in Program Committee within the CAIN Doctoral Symposium-track Committee Member in Posters Committee within the CAIN Posters-track
H Andrew HabibHabib, Andrew ABB Corporate Research, GermanyGermany Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Sooji HanHan, Sooji Structuring the world of unstructured text data – Balancing business requirements, training data availability, and model performance.
K Eric HarperHarper, K Eric IQVIA PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Rachel HarrisonHarrison, Rachel Oxford Brookes University United Kingdom Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Junji HashimotoHashimoto, Junji GREE, Inc.Japan A Domain Specific Language for Specification of Risk-oriented Object Detection Requirements
Petra HeckHeck, Petra Fontys University of Applied SciencesNetherlands What About the Data? A Mapping Study on Data Engineering for AI Systems Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Abbas HeydarnooriHeydarnoori, Abbas Bowling Green State UniversityUnited States A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation
Hans-Martin HeynHeyn, Hans-Martin University of Gothenburg & Chalmers University of TechnologySweden Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Thong HoangHoang, Thong CSIRO's Data61 Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
Martin HollenderHollender, Martin ABB Engineering Challenges in Industrial AI
Helena Holmström OlssonHolmström Olsson, Helena Malmö UniversitySweden Author in Steering Committee for CAIN 2024 Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Jennifer HorkoffHorkoff, Jennifer Chalmers and the University of GothenburgSweden PC Member in Program Committee within the CAIN Doctoral Symposium-track
Jati H. HusenHusen, Jati H. Waseda University, Japan Evaluation of The Generality of Multi-view Modeling Framework for ML Systems
Erik Johannes HusomHusom, Erik Johannes SINTEF Digital Engineering Carbon Emission-aware Machine Learning Pipelines
Waqar HussainHussain, Waqar Monash UniversityAustralia PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
I Masaru IdeIde, Masaru Fujitsu Limited Taxonomy of Generative AI Applications for Risk Assessment
Vladislav IndykovIndykov, Vladislav Chalmers \| University of Gothenburg Component-based Approach to Software Engineering of Machine Learning-enabled Systems
David Issa MattosIssa Mattos, David Volvo CarsSweden Committee Member in Program Committee within the CAIN Research and Experience Papers-track
J Hamed JahantighJahantigh, Hamed Department of Computer Engineering of Sharif University of TechnologyIran A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation
Andreas JedlitschkaJedlitschka, Andreas Fraunhofer IESEGermany Invited: Artificial Intelligence Projects, a quest between meaningful use cases, data, and unfulfilled desires.
Felix Viktor JedrzejewskiJedrzejewski, Felix Viktor Blekinge Institute of Technology Threat Modeling of ML-intensive Systems: Research Proposal
K Raghu KackerKacker, Raghu National Institute of Standards and TechnologyUnited States A Combinatorial Testing Approach to Hyperparameter Optimization
Marcos KalinowskiKalinowski, Marcos Pontifical Catholic University of Rio de Janeiro (PUC-Rio)Brazil Investigating the Impact of Solid Design Principles on Machine Learning Code Understanding POLARIS: A framework to guide the development of Trustworthy AI systems Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Jai KannanKannan, Jai Applied Artificial Intelligence Institute, Deakin University Green Runner: A tool for efficient deep learning component selection
Natalia KarpovaKarpova, Natalia TU Delft Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World
Ashkan KhademianKhademian, Ashkan Department of Computer Engineering of Sharif University of Technology A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation
Krishna KhadkaKhadka, Krishna The University of Texas at ArlingtonUnited States A Combinatorial Testing Approach to Hyperparameter Optimization
Foutse KhomhKhomh, Foutse École Polytechnique de MontréalCanada PC Member in Program Committee within the CAIN Doctoral Symposium-track
Sepehr KianianKianian, Sepehr Department of Computer Engineering of Sharif University of Technology A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation
Eric KnaussKnauss, Eric Chalmers \| University of GothenburgSweden Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Rrezarta KrasniqiKrasniqi, Rrezarta University of North Carolina at CharlotteUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Andreas KreutzKreutz, Andreas Fraunhofer Institute for Cognitive Systems IKS Approach for Argumenting Safety on Basis of an Operational Design Domain
Thomas KropfKropf, Thomas Robert Bosch GmbH and University of TuebingenGermany Committee Member in Program Committee within the CAIN Research and Experience Papers-track
D. Richard KuhnKuhn, D. Richard National Institute of Standards and Technology A Combinatorial Testing Approach to Hyperparameter Optimization
Stefanus KurniawanKurniawan, Stefanus Deakin University LLMs for Test Input Generation for Semantic Applications Seven Failure Points When Engineering a Retrieval Augmented Generation System
Christian KästnerKästner, Christian Carnegie Mellon University Keynote by Christian Kästner - From Models to Systems: On the Role of Software Engineering for Machine Learning (Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs Committee Member in Program Committee within the CAIN Research and Experience Papers-track
L Cyril LabbéLabbé, Cyril LIG - UGA Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search
Sebastien LafondLafond, Sebastien Åbo Akademi UniversityFinland Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Patricia LagoLago, Patricia Vrije Universiteit AmsterdamNetherlands Identifying architectural design decisions for achieving green ML serving
Filippo LanubileLanubile, Filippo University of BariItaly Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Neil D. LawrenceLawrence, Neil D. Department of Computer Science and Technology, Univesity of Cambridge Can causality accelerate experimentation in software systems?
Sung Une (Sunny) LeeLee, Sung Une (Sunny) CSIRO's Data61Australia Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability
Jeff Yu LeiLei, Jeff Yu University of Texas at ArlingtonUnited States A Combinatorial Testing Approach to Hyperparameter Optimization
Grace LewisLewis, Grace Carnegie Mellon Software Engineering InstituteUnited States Program Co-Chair in Organizing Committee for CAIN 2024 Session Chair of Opening and Keynote (part of CAIN Research and Experience Papers) PC Chair in Program Committee within the CAIN Research and Experience Papers-track
Han-Bo LiLi, Han-Bo Department of Computer Science and Technology, University of Cambridge Can causality accelerate experimentation in software systems?
Heng LiLi, Heng Polytechnique MontréalCanada Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Ziyu LiLi, Ziyu University of Sheffield Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs
Antonio LiottaLiotta, Antonio Free University of Bozen-Bolzano Modeling Resilience of Collaborative AI Systems
Yue LiuLiu, Yue CSIRO's Data61 & University of New South WalesAustralia Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture
Qinghua LuLu, Qinghua Data61, CSIROAustralia Towards a Responsible AI Metrics Catalogue: A Collection of Metrics for AI Accountability Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture PC Member in Program Committee within the CAIN Doctoral Symposium-track
M Lei MaMa, Lei The University of Tokyo & University of AlbertaJapan PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Ivano MalavoltaMalavolta, Ivano Vrije Universiteit AmsterdamNetherlands The Impact of Knowledge Distillation on the Performance and Energy Consumption of NLP Models
Ravi MangalMangal, Ravi Carnegie Mellon UniversityUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Matias MartinezMartinez, Matias Universitat Politècnica de Catalunya (UPC)Spain Identifying architectural design decisions for achieving green ML serving
Silverio Martínez-FernándezMartínez-Fernández, Silverio UPC-BarcelonaTechSpain Proceedings Chair in Organizing Committee for CAIN 2024 Session Chair of Doctoral Symposium and Energy-Aware AI Engineering (part of CAIN Research and Experience Papers) Identifying architectural design decisions for achieving green ML serving Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Tim MenziesMenzies, Tim North Carolina State UniversityUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Andreas MetzgerMetzger, Andreas University of Duisburg-EssenGermany Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Tommi MikkonenMikkonen, Tommi University of JyvaskylaFinland Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Edward MonteiroMonteiro, Edward StackSpotBrazil Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes
Adrian MosMos, Adrian NAVER LABS EuropeFrance Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search
Mojtaba MostafaviMostafavi, Mojtaba Department of Computer Engineering of Sharif University of Technology A Roadmap for Enriching Jupyter Notebooks Documentation with Kaggle Data Beyond Syntax: Unleashing the Power of Computational Notebooks Code Metrics in Documentation Generation
Henry MucciniMuccini, Henry University of L'Aquila, ItalyItaly Author in Steering Committee for CAIN 2024 Program Co-Chair in Organizing Committee for CAIN 2024 Session Chair of Keynote and Posters (part of CAIN Research and Experience Papers) PC Chair in Program Committee within the CAIN Research and Experience Papers-track
Kazuki MunakataMunakata, Kazuki Fujitsu Limited, Tokyo, JapanJapan Taxonomy of Generative AI Applications for Risk Assessment
N Nadia NaharNahar, Nadia Carnegie Mellon UniversityBangladesh Publicity Chair in Organizing Committee for CAIN 2024
Minh-Tri NguyenNguyen, Minh-Tri Aalto University Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving
Tien N. NguyenNguyen, Tien N. University of Texas at DallasUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Ali NouriNouri, Ali Volvo cars & Chalmers University of TechnologySweden Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
O Lauren OlsonOlson, Lauren Vrije Universiteit AmsterdamNetherlands Custom Developer GPT for Ethical AI Solutions
Rafiullah OmarOmar, Rafiullah Energy-Efficient Development of ML-Enabled Systems: A Data-Centric Approach
Sachiko OnoderaOnodera, Sachiko Fujitsu Limited Taxonomy of Generative AI Applications for Risk Assessment
Ipek OzkayaOzkaya, Ipek Carnegie Mellon UniversityUnited States Author in Steering Committee for CAIN 2024 Session Chair of Generative AI Engineering (part of CAIN Research and Experience Papers) Committee Member in Program Committee within the CAIN Research and Experience Papers-track
P Lorena Barreto Simedo PachecoPacheco, Lorena Barreto Simedo Concordia University DVC in Open Source AI-development: The Action and the Reaction
Andrei PaleyesPaleyes, Andrei Department of Computer Science and Technology, Univesity of CambridgeUnited Kingdom Session Chair of System Qualities (part of CAIN Research and Experience Papers) Can causality accelerate experimentation in software systems? Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Fabio PalombaPalomba, Fabio University of SalernoItaly Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality
Mike PapadakisPapadakis, Mike University of LuxembourgLuxembourg Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Iverson PereiraPereira, Iverson Bureau WorksBrazil Innovating Translation: Lessons Learned from BWX Generative Language Engine
Hung Viet PhamPham, Hung Viet York UniversityCanada Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Gustavo PintoPinto, Gustavo Federal University of Pará (UFPA) and Zup InnovationBrazil Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes
Marie Platenius-MohrPlatenius-Mohr, Marie ABB Corporate ResearchGermany Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Lorena Poenaru-OlaruPoenaru-Olaru, Lorena TU DelftNetherlands Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World
Profir-Petru PârțachiPârțachi, Profir-Petru National Institute of Informatics, JapanJapan Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Corina S. PăsăreanuPăsăreanu, Corina S. Carnegie Mellon UniversityUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Q Luigi QuarantaQuaranta, Luigi University of Bari, ItalyItaly Committee Member in Program Committee within the CAIN Research and Experience Papers-track
R Fazle RabbiRabbi, Fazle Concordia University DVC in Open Source AI-development: The Action and the Reaction
Chaiyong RagkhitwetsagulRagkhitwetsagul, Chaiyong Mahidol University, ThailandThailand Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Azzurra RagoneRagone, Azzurra University of BariItaly POLARIS: A framework to guide the development of Trustworthy AI systems
Mona RahimiRahimi, Mona Northern Illinois UniversityUnited States Posters Co-Chair in Organizing Committee for CAIN 2024 Committee Member in Program Committee within the CAIN Research and Experience Papers-track PC Chair in Posters Committee within the CAIN Posters-track
Tajkia Rahman TomaRahman Toma, Tajkia University of Alberta An Exploratory Study of Dataset and Model Management in Open Source Machine Learning Applications
Md Tajmilur RahmanRahman, Md Tajmilur Gannon UniversityUnited States Automating Patch Set Generation from Code Reviews Using Large Language Models
Musfiqur RahmanRahman, Musfiqur Concordia UniversityCanada DVC in Open Source AI-development: The Action and the Reaction
Keerthiga RajenthiramRajenthiram, Keerthiga Vrije Universiteit Amsterdam Optimizing Data Analytics Workflows through User-driven Experimentation
Priya RaniRani, Priya RMIT University ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study
Raimondo RapacciuoloRapacciuolo, Raimondo University of Salerno Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality
Zafaryab RasoolRasool, Zafaryab Applied Artificial Intelligence Institute, Deakin University LLMs for Test Input Generation for Semantic Applications
Gilberto RecupitoRecupito, Gilberto University of SalernoItaly Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality
Raghu ReddyReddy, Raghu IIIT HyderabadIndia Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Diaeddin RimawiRimawi, Diaeddin Free University of Bozen-BolzanoItaly Modeling Resilience of Collaborative AI Systems
Thayssa RochaRocha, Thayssa Zup Innovation & UFPABrazil Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes
Gustavo Rodrigues dos ReisRodrigues dos Reis, Gustavo NAVER LABS Europe/LIG - UGAFrance Data Selection Driven by Item Difficulty: On Investigating Data Efficient Practice for Hyperparameter Search
Krishna RonankiRonanki, Krishna University Of Gothenburg Prompt Smells: An Omen for Undesirable Generative AI Outputs
Jomphon RunpakprakunRunpakprakun, Jomphon Waseda University, Japan Evaluation of The Generality of Multi-view Modeling Framework for ML Systems
Barbara RussoRusso, Barbara Modeling Resilience of Collaborative AI Systems
Andrew RutherfoordRutherfoord, Andrew CWI; University of GroningenNetherlands KnowING Intelligent Document Classification: A Deep Dive into Microservices and Efficient Models at ING
S Jan S. RellermeyerS. Rellermeyer, Jan Leibniz University HannoverGermany Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World
Sriram SankaranarayananSankaranarayanan, Sriram University of Colorado, BoulderUnited States Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory
Bradley SchmerlSchmerl, Bradley Carnegie Mellon University, USAUnited States Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Jean-Guy SchneiderSchneider, Jean-Guy Monash UniversityAustralia ML-On-Rails: Safeguarding Machine Learning Models in Software Systems – A Case Study
Hannes SchoenhaarSchoenhaar, Hannes Siemens Corporate Technology Approach for Argumenting Safety on Basis of an Operational Design Domain
Taylan SelviSelvi, Taylan Applied Artificial Intelligence Institute, Deakin University Green Runner: A tool for efficient deep learning component selection
Sagar SenSen, Sagar Engineering Carbon Emission-aware Machine Learning Pipelines
Alex SerbanSerban, Alex Siemens Healthineers and University Transilvania of BrasovRomania Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Jiacheng ShiShi, Jiacheng Vrije Universiteit Amsterdam The Impact of Knowledge Distillation on the Performance and Energy Consumption of NLP Models
Emad ShihabShihab, Emad Concordia UniversityCanada DVC in Open Source AI-development: The Action and the Reaction
Donghwan ShinShin, Donghwan University of SheffieldUnited Kingdom Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs
Norbert SiegmundSiegmund, Norbert Leipzig UniversityGermany Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Anj SimmonsSimmons, Anj Green Runner: A tool for efficient deep learning component selection
Hakan SivencronaSivencrona, Hakan Zenseact ABSweden Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
Romina SpalazzeseSpalazzese, Romina Malmö UniversitySweden Committee Member in Program Committee within the CAIN Research and Experience Papers-track
Mark StaplesStaples, Mark CSIRO, Australia Privacy and Copyright Protection in Generative AI: A Lifecycle Perspective
Jan-Philipp SteghöferSteghöfer, Jan-Philipp XITASO GmbH IT & Software SolutionsGermany Posters Co-Chair in Organizing Committee for CAIN 2024 PC Chair in Posters Committee within the CAIN Posters-track
Igor SteinmacherSteinmacher, Igor Northern Arizona UniversityUnited States Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes
Vincenzo StoicoStoico, Vincenzo Vrije Universiteit AmsterdamNetherlands The Impact of Knowledge Distillation on the Performance and Energy Consumption of NLP Models
T Ruomu TanTan, Ruomu ABB Engineering Challenges in Industrial AI
Hiroshi TanakaTanaka, Hiroshi Fujitsu Limited, Tokyo, JapanJapan Taxonomy of Generative AI Applications for Risk Assessment
Berinike TechTech, Berinike Structuring the world of unstructured text data – Balancing business requirements, training data availability, and model performance.
Srikanth ThudumuThudumu, Srikanth Deakin University LLMs for Test Input Generation for Semantic Applications Seven Failure Points When Engineering a Retrieval Augmented Generation System
Saeid Tizpaz-NiariTizpaz-Niari, Saeid University of Texas at El PasoUnited States Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory
Marco TodescatoTodescato, Marco Fraunhofer Italia Modeling Resilience of Collaborative AI Systems
Fredrik TornerTorner, Fredrik Volvo cars Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
Hong-Linh TruongTruong, Hong-Linh Aalto UniversityFinland Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving
Tram Truong-HuuTruong-Huu, Tram Singapore Institute of Technology Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving
Hnin Thandar TunTun, Hnin Thandar Waseda University, JapanJapan Evaluation of The Generality of Multi-view Modeling Framework for ML Systems
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