CAIN 2025 Contributors

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A Hala AbdelkaderAbdelkader, Hala Applied Artificial Intelligence Institute, Deakin University Safeguarding LLM-Applications: Specify or Train?
Mohamed AbdelrazekAbdelrazek, Mohamed Deakin University, AustraliaAustralia Safeguarding LLM-Applications: Specify or Train?
Milad AbdullahAbdullah, Milad Charles UniversityCzechia Towards Continuous Experiment-driven MLOps
Sallam AbualhaijaAbualhaija, Sallam University of LuxembourgLuxembourg PC Member in Program Committee within the CAIN Doctoral Symposium-track
Razan AbualsaudAbualsaud, Razan IRIT, CNRS, ToulouseFrance Towards a Domain-Specific Modeling Language for Streamlined Change Management in AI Systems Development
Hadil AbukwaikAbukwaik, Hadil BASFGermany PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Ankit AgrawalAgrawal, Ankit Saint Louis University, MissouriUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
Toufique AhmedAhmed, Toufique IBM ResearchUnited States Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach
Sreemaee AkshathalaAkshathala, Sreemaee IIIT Hyderabad Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Pedro Alarcon GranadenoAlarcon Granadeno, Pedro University of Notre DameUnited States Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Amin AlipourAlipour, Amin University of HoustonUnited States Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach
Anusha AnnengalaAnnengala, Anusha Vrije Universiteit Amsterdam On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Shrikara ArunArun, Shrikara IIIT Hyderabad Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Wesley AssunçãoAssunção, Wesley North Carolina State UniversityUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
Aidin AzamnouriAzamnouri, Aidin Technical University of MunichGermany CoCo Challenges in ML Engineering Teams: How to Collaboratively Build ML-Enabled Systems
B Muhammad Ali BabarBabar, Muhammad Ali School of Computer Science, The University of AdelaideAustralia DDPT: Diffusion Driven Prompt Tuning for Large Language Model Code Generation
Jeremy BarnesBarnes, Jeremy ServiceNowCanada Is Prompt Engineering?
Scott BarnettBarnett, Scott Deakin University, AustraliaAustralia Posters Co-Chair in Organizing Committee for CAIN 2025 RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios PC Member in Program Committee within the CAIN Research and Experience Papers-track Posters Co-Chair in Posters Committee within the CAIN Posters -track
Hamed BarzaminiBarzamini, Hamed An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software
Bernhard BauerBauer, Bernhard University of Augsburg All You Need is an AI Platform: A Proposal for a Complete Reference Architecture
Nelly BencomoBencomo, Nelly Durham UniversityUnited Kingdom PC Member in Program Committee within the CAIN Research and Experience Papers-track
Amel BennaceurBennaceur, Amel The Open University, UKUnited Kingdom PC Member in Program Committee within the CAIN Research and Experience Papers-track
Manish BhandariBhandari, Manish XITASO GmbH IT and Software Solutions Challenges in AI Projects for Machinery and Plant Engineering
Besim BilalliBilalli, Besim Universitat Politècnica de Catalunya, Barcelona, Spain Towards Continuous Experiment-driven MLOps
Alvine Boaye BelleBoaye Belle, Alvine York UniversityCanada LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?
Justus BognerBogner, Justus Vrije Universiteit AmsterdamNetherlands How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration PC Member in Program Committee within the CAIN Research and Experience Papers-track PC Member in Program Committee within the CAIN Doctoral Symposium-track
Jan BoschBosch, Jan Chalmers University of TechnologySweden Steering Committee Chair in Steering Committee for CAIN 2025
Jan BoschBosch, Jan Chalmers University of Technology, Sweden PC Member in Program Committee within the CAIN Research and Experience Papers-track
Goetz BotterweckBotterweck, Goetz Trinity College Dublin, Ireland Doctoral Symposium Chair in Organizing Committee for CAIN 2025
Goetz BotterweckBotterweck, Goetz Lero - The Irish Software Research Centre and University of LimerickIreland Doctoral Symposium Co-Chair in Program Committee within the CAIN Doctoral Symposium-track
Hiba BouhlalBouhlal, Hiba Vrije Universiteit Amsterdam On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Lionel BriandBriand, Lionel University of Ottawa, Canada; Lero centre, University of Limerick, IrelandCanada PC Member in Program Committee within the CAIN Research and Experience Papers-track
Annalise BrockmannBrockmann, Annalise Northern Illinois University An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software
Tomas BuresBures, Tomas Charles University, Czech RepublicCzechia Towards Continuous Experiment-driven MLOps
C Jordi CabotCabot, Jordi Luxembourg Institute of Science and TechnologyLuxembourg ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models
Paulo Marques Caldeira JuniorCaldeira Junior, Paulo Marques IBM Designing and implementing LLM guardrails components in production environments
Javier CamaraCamara, Javier University of MálagaSpain PC Member in Program Committee within the CAIN Research and Experience Papers-track
Jialun CaoCao, Jialun Hong Kong University of Science and TechnologyChina PC Member in Program Committee within the CAIN Research and Experience Papers-track
Nicolás CardozoCardozo, Nicolás Universidad de los AndesColombia PC Member in Program Committee within the CAIN Research and Experience Papers-track
Carmen CarlanCarlan, Carmen Edge Case ResearchGermany PC Member in Posters Committee within the CAIN Posters -track
Theodore ChambersChambers, Theodore University of Notre Dame Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Wing-Kwong ChanChan, Wing-Kwong City University of Hong KongChina PC Member in Program Committee within the CAIN Research and Experience Papers-track
Marsha ChechikChechik, Marsha University of TorontoCanada PC Member in Program Committee within the CAIN Doctoral Symposium-track
Huaming ChenChen, Huaming The University of SydneyAustralia PC Member in Program Committee within the CAIN Research and Experience Papers-track
Shing-Chi CheungCheung, Shing-Chi Hong Kong University of Science and TechnologyChina PC Member in Program Committee within the CAIN Research and Experience Papers-track
Rumbidzai ChitakunyeChitakunye, Rumbidzai Vrije Universiteit Amsterdam Designing ML-Enabled Software Systems with ML Model Composition: A Green AI Perspective
Morakot ChoetkiertikulChoetkiertikul, Morakot Faculty of Information and Communication Technology PC Member in Program Committee within the CAIN Research and Experience Papers-track
Robert ClarisóClarisó, Robert Universitat Oberta de CatalunyaSpain ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models
Jane Cleland-HuangCleland-Huang, Jane University of Notre DameUnited States Committee Member in Steering Committee for CAIN 2025 Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems PC Member in Program Committee within the CAIN Research and Experience Papers-track PC Member in Program Committee within the CAIN Doctoral Symposium-track
Luís CruzCruz, Luís TU DelftNetherlands Committee Member in Steering Committee for CAIN 2025 PC Chair in Organizing Committee for CAIN 2025 PC Co-Chair in Program Committee within the CAIN Research and Experience Papers-track
Shamse Tasnim CynthiaCynthia, Shamse Tasnim University of SaskatchewanCanada Identification and Optimization of Redundant Code Using Large Language Models
D Michel DagenaisDagenais, Michel Polytechnique Montréal InsightAI: Root Cause Analysis in Large Hierarchical Log Files with Private Data Using Large Language Models
Katherine R. DearstyneDearstyne, Katherine R. University of Notre Dame Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems
Santiago del Reydel Rey, Santiago Universitat Politècnica De Catalunya - Barcelona TechSpain Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge
Davide Dell'AnnaDell'Anna, Davide Utrecht UniversityNetherlands PC Member in Program Committee within the CAIN Research and Experience Papers-track
Mateus DevinoDevino, Mateus IBM Designing and implementing LLM guardrails components in production environments
Rudra DharDhar, Rudra SERC, IIIT Hyderabad, IndiaIndia Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Vidya DhopateDhopate, Vidya Vrije Universiteit Amsterdam On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Johannes DornDorn, Johannes Leipzig University Themes of Building LLM-based Applications for Production: A Practitioner's View
Sumant DubeyDubey, Sumant MontyCloud Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Ivana DusparicDusparic, Ivana Trinity College Dublin, Ireland PC Member in Program Committee within the CAIN Research and Experience Papers-track
E Robert EdmanEdman, Robert Carnegie Mellon Software Engineering InstituteUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
Maryam EkhlasiEkhlasi, Maryam Polytechnique Montreal InsightAI: Root Cause Analysis in Large Hierarchical Log Files with Private Data Using Large Language Models
Timothy ElviraElvira, Timothy Embry-Riddle Aeronautical University Generating and Verifying Synthetic Datasets with Requirements Engineering
Tatiana EscovedoEscovedo, Tatiana Pontifical Catholic University of Rio de JaneiroBrazil Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
F Michael FeldererFelderer, Michael German Aerospace Center (DLR) & University of CologneGermany PC Member in Program Committee within the CAIN Research and Experience Papers-track
Hasan FerdowsiFerdowsi, Hasan Northern Illinois university An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software
Renato Cordeiro FerreiraFerreira, Renato Cordeiro University of São Paulo A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems
Victor FogedFoged, Victor Deloitte Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI
Xavier FranchFranch, Xavier Universitat Politècnica de Catalunya Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge
Xavier FranchFranch, Xavier Universitat Politècnica de CatalunyaSpain Committee Member in Program Committee within the CAIN Research and Experience Papers-track PC Member in Program Committee within the CAIN Doctoral Symposium-track
Valerio FrascollaFrascolla, Valerio Intel Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
G Khouloud GaaloulGaaloul, Khouloud University of Michigan - DearbornUnited States Navigating the Shift: Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems
Caterina GazzottiGazzotti, Caterina University of Modena Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Ilias GerostathopoulosGerostathopoulos, Ilias Vrije Universiteit AmsterdamNetherlands Towards Continuous Experiment-driven MLOps
Ilias GerostathopoulosGerostathopoulos, Ilias Vrije Universiteit Amsterdam How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
Arda GoknilGoknil, Arda SINTEF Digital Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Divya GopinathGopinath, Divya KBR; NASA AmesUnited States Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
Ian GortonGorton, Ian Northeastern University – Seattle, USAUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
Vyakhya GuptaGupta, Vyakhya IIIT Hyderabad Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications
H Sarra HabchiHabchi, Sarra UbisoftCanada PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Andrew HabibHabib, Andrew ABB Corporate Research, GermanyGermany PC Member in Program Committee within the CAIN Research and Experience Papers-track
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 PC Member in Program Committee within the CAIN Research and Experience Papers-track
Petra HeckHeck, Petra Fontys University of Applied SciencesNetherlands PC Member in Program Committee within the CAIN Research and Experience Papers-track
Hans-Martin HeynHeyn, Hans-Martin University of Gothenburg & Chalmers University of TechnologySweden PC Member in Program Committee within the CAIN Research and Experience Papers-track
Petr HnětynkaHnětynka, Petr Charles UniversityCzechia Towards Continuous Experiment-driven MLOps
Helena Holmström OlssonHolmström Olsson, Helena Malmö UniversitySweden Committee Member in Steering Committee for CAIN 2025 PC Member in Program Committee within the CAIN Research and Experience Papers-track
Yining HongHong, Yining Carnegie Mellon UniversityUnited States From Hazard Identification to Control Design: Proactive and AI-Supported Safety Engineering for ML-powered Systems
Jennifer HorkoffHorkoff, Jennifer Chalmers and the University of GothenburgSweden Doctoral Symposium Chair in Organizing Committee for CAIN 2025 PC Member in Program Committee within the CAIN Research and Experience Papers-track Doctoral Symposium Co-Chair in Program Committee within the CAIN Doctoral Symposium-track
Boyue Caroline HuHu, Boyue Caroline University of TorontoCanada Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
Stephen HuangHuang, Stephen University of Houston Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach
Aftab HussainHussain, Aftab Texas A&M University, College Station Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach
Mansoor HussainHussain, Mansoor Jyske Bank Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI
Hieu HuynhHuynh, Hieu Vrije Universiteit Amsterdam On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Sangwon HyunHyun, Sangwon CREST, University of Adelaide DDPT: Diffusion Driven Prompt Tuning for Large Language Model Code Generation
I Fuyuki IshikawaIshikawa, Fuyuki National Institute of InformaticsJapan Is Generated Images Suitable for Weakness Detection?
David Issa MattosIssa Mattos, David Volvo CarsSweden PC Member in Program Committee within the CAIN Research and Experience Papers-track
J Prakhar JainJain, Prakhar IIIT Hyderabad Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications
Felix Viktor JedrzejewskiJedrzejewski, Felix Viktor Blekinge Institute of Technology Web Co-Chair in Organizing Committee for CAIN 2025
Susmit JhaJha, Susmit SRIUnited States Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
Limin JiaJia, Limin Random Perturbation Attacks on LLMs for Code Generation
Xiaojun JiangJiang, Xiaojun Oslo University Hospital Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Hyunwhan JoeJoe, Hyunwhan Seoul National University Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Evaline JuJu, Evaline IBM Designing and implementing LLM guardrails components in production environments
K Adyansh KakranKakran, Adyansh International Institute of Information Technology, Hyderabad Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Marcos KalinowskiKalinowski, Marcos Pontifical Catholic University of Rio de Janeiro (PUC-Rio)Brazil Proceedings Chair in Organizing Committee for CAIN 2025 Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems Beyond Machine Learning and Foundation Models: A Research Roadmap for Multi-Paradigm AI Engineering PC Member in Program Committee within the CAIN Research and Experience Papers-track
Hasan KaplanKaplan, Hasan Jheronimus Academy of Data Science, Tilburg University Systematic Testing of Security-Related Defects in LLM-Based Applications
Amey KaranKaran, Amey IIIT Hyderabad Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Foutse KhomhKhomh, Foutse Polytechnique MontréalCanada PC Member in Program Committee within the CAIN Doctoral Symposium-track
Ekkart KindlerKindler, Ekkart Technical University of DenmarkDenmark Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI
Eric KnaussKnauss, Eric Chalmers \| University of GothenburgSweden PC Member in Program Committee within the CAIN Research and Experience Papers-track
Eddie KohlerKohler, Eddie HotCRP Author PC Member in Program Committee within the CAIN Research and Experience Papers-track
Venkat KrishnamachariKrishnamachari, Venkat MontyCloud Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Thomas KropfKropf, Thomas Robert Bosch GmbH and University of TuebingenGermany PC Member in Program Committee within the CAIN Research and Experience Papers-track
Alok KucheriaKucheria, Alok ABBUnited States PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Stefanus KurniawanKurniawan, Stefanus Deakin University RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios
Christian KästnerKästner, Christian Carnegie Mellon University From Hazard Identification to Control Design: Proactive and AI-Supported Safety Engineering for ML-powered Systems PC Member in Program Committee within the CAIN Research and Experience Papers-track
L Maxime LamotheLamothe, Maxime Polytechnique MontrealCanada InsightAI: Root Cause Analysis in Large Hierarchical Log Files with Private Data Using Large Language Models PC Member in Program Committee within the CAIN Research and Experience Papers-track
Filippo LanubileLanubile, Filippo University of BariItaly PC Member in Program Committee within the CAIN Research and Experience Papers-track
Grace LewisLewis, Grace Carnegie Mellon Software Engineering InstituteUnited States Committee Member in Steering Committee for CAIN 2025 General Chair in Organizing Committee for CAIN 2025
Heng LiLi, Heng Polytechnique MontréalCanada PC Member in Program Committee within the CAIN Research and Experience Papers-track
Jinyang LiLi, Jinyang DDPT: Diffusion Driven Prompt Tuning for Large Language Model Code Generation
Dayi LinLin, Dayi Centre for Software Excellence, Huawei CanadaCanada PC Member in Program Committee within the CAIN Research and Experience Papers-track
Dan LiyanageLiyanage, Dan PayPal SqPal - text to SQL GenAI tool for PayPal
Irini LogothetisLogothetis, Irini Applied Artificial Intelligence Institute, Deakin University Safeguarding LLM-Applications: Specify or Train?
Yiling LouLou, Yiling Fudan UniversityChina PC Member in Program Committee within the CAIN Research and Experience Papers-track
Qinghua LuLu, Qinghua Data61, CSIROAustralia Committee Member in Steering Committee for CAIN 2025 PC Chair in Organizing Committee for CAIN 2025 PC Member in Program Committee within the CAIN Research and Experience Papers-track PC Co-Chair in Program Committee within the CAIN Research and Experience Papers-track
Lucy Ellen LwakatareLwakatare, Lucy Ellen University of HelsinkiFinland PC Member in Program Committee within the CAIN Doctoral Symposium-track
M Kritin MaddireddyMaddireddy, Kritin IIIT Hyderabad LoCoML: A Framework for Real-World ML Inference Pipelines
Alina MailachMailach, Alina Leipzig UniversityGermany Themes of Building LLM-based Applications for Production: A Practitioner's View
Ivano MalavoltaMalavolta, Ivano Vrije Universiteit AmsterdamNetherlands On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Ravi MangalMangal, Ravi Colorado State UniversityUnited States Random Perturbation Attacks on LLMs for Code Generation Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
Orlando Marquez AyalaMarquez Ayala, Orlando ServiceNowCanada Task decomposition and RAG as Design Patterns for LLM-based Systems
Matias MartinezMartinez, Matias Universitat Politècnica de Catalunya (UPC)Spain On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Antonio MartiniMartini, Antonio University of Oslo MLScent: A tool for Anti-pattern detection in ML projects
Silverio Martínez-FernándezMartínez-Fernández, Silverio UPC-BarcelonaTechSpain Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge PC Member in Program Committee within the CAIN Research and Experience Papers-track
Adrià MedinaMedina, Adrià Universitat Politècnica de Barcelona - BarcelonaTech (UPC) Addressing Quality Challenges in Deep Learning: The Role of MLOps and Domain Knowledge
Espen MelumMelum, Espen Oslo University Hospital Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Tim MenziesMenzies, Tim North Carolina State UniversityUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
Santhosh Kotekal MethukulaMethukula, Santhosh Kotekal IIIT Hyderabad LoCoML: A Framework for Real-World ML Inference Pipelines
Tommi MikkonenMikkonen, Tommi University of JyvaskylaFinland PC Member in Program Committee within the CAIN Research and Experience Papers-track
Mahshid MohaMoha, Mahshid PayPal SqPal - text to SQL GenAI tool for PayPal
Sergio MoralesMorales, Sergio Universitat Oberta de CatalunyaSpain ImageBiTe: A Framework for Evaluating Representational Harms in Text-to-Image Models
Henry MucciniMuccini, Henry University of L'Aquila, ItalyItaly Committee Member in Steering Committee for CAIN 2025 General Chair in Organizing Committee for CAIN 2025 PC Member in Program Committee within the CAIN Research and Experience Papers-track
Basil MuhammedMuhammed, Basil MontyCloud Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Marvin Muñoz BarónMuñoz Barón, Marvin University of StuttgartGermany Towards an Adoption Framework to Foster Trust in AI-Assisted Software Engineering
N Nina NarodytskaNarodytska, Nina VMware ResearchUnited States Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
Fatemeh NazaritijiNazaritiji, Fatemeh Northern Illinois University An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software
Adela Nedisan VidesjordenNedisan Videsjorden, Adela SINTEF Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Phu NguyenNguyen, Phu SINTEFNorway Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Tien N. NguyenNguyen, Tien N. University of Texas at DallasUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
Vince NguyenNguyen, Vince Vrije Universiteit Amsterdam On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Richard NordsiekNordsiek, Richard XITASO GmbH IT & Software Solutions Challenges in AI Projects for Machinery and Plant Engineering
Evangelos NtentosNtentos, Evangelos University of ViennaAustria Rule-Based Assessment of Reinforcement Learning Practices Using Large Language Models
O Omar OchoaOchoa, Omar Embry-Riddle Aeronautical University Generating and Verifying Synthetic Datasets with Requirements Engineering
Oluwafemi OduOdu, Oluwafemi York University LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet?
Rafiullah OmarOmar, Rafiullah University of L'AquilaItaly Web Co-Chair in Organizing Committee for CAIN 2025
Ipek OzkayaOzkaya, Ipek Carnegie Mellon UniversityUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
P Shreyas Kumar ParidaParida, Shreyas Kumar ETH Zurich How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
Parashar ParikhParikh, Parashar ABB PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Kannan ParthasarathyParthasarathy, Kannan MontyCloud Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Corina PasareanuPasareanu, Corina CMU, NASA, KBR PC Member in Program Committee within the CAIN Research and Experience Papers-track
Jibesh PatraPatra, Jibesh IIT KharagpurIndia PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Lasse PedersenPedersen, Lasse Jyske Bank Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI
Qiulu PengPeng, Qiulu Carnegie Mellon University Random Perturbation Attacks on LLMs for Code Generation
Marie Platenius-MohrPlatenius-Mohr, Marie ABB Corporate ResearchGermany Industry Track Co-Chair in Organizing Committee for CAIN 2025 PC Member in Program Committee within the CAIN Research and Experience Papers-track Industry Track Co-Chair in Industry Track Program Committee within the CAIN Industry Talks-track
Gerard PonsPons, Gerard Universitat Politècnica de Catalunya, Barcelona, Spain Towards Continuous Experiment-driven MLOps
Anurag PrakashPrakash, Anurag Ciena InsightAI: Root Cause Analysis in Large Hierarchical Log Files with Private Data Using Large Language Models
Profir-Petru PârțachiPârțachi, Profir-Petru National Institute of Informatics, JapanJapan PC Member in Program Committee within the CAIN Research and Experience Papers-track
Corina S. PăsăreanuPăsăreanu, Corina S. Carnegie Mellon University; NASA AmesUnited States Random Perturbation Attacks on LLMs for Code Generation
Corina S. PăsăreanuPăsăreanu, Corina S. Carnegie Mellon UniversityUnited States Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
Q Luigi QuarantaQuaranta, Luigi University of Bari, ItalyItaly PC Member in Program Committee within the CAIN Research and Experience Papers-track
Anna QueraltQueralt, Anna Universitat Politècnica de Catalunya, Barcelona, Spain Towards Continuous Experiment-driven MLOps
R Rafiqul RabinRabin, Rafiqul UL Research InstitutesUnited States Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach
Mona RahimiRahimi, Mona Northern Illinois UniversityUnited States An AI-driven Requirements Engineering Framework Tailored for Evaluating AI-Based Software
Keerthiga RajenthiramRajenthiram, Keerthiga Vrije Universiteit Amsterdam Towards Continuous Experiment-driven MLOps Optimizing Data Analytics Workflows through User-driven Experimentation: Progress and Updates
Priya RaniRani, Priya RMIT University Safeguarding LLM-Applications: Specify or Train?
Zafaryab RasoolRasool, Zafaryab Applied Artificial Intelligence Institute, Deakin University RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios
Raghu ReddyReddy, Raghu IIIT HyderabadIndia PC Member in Program Committee within the CAIN Research and Experience Papers-track
Sergio RicoRico, Sergio Mid Sweden UniversitySweden PC Member in Program Committee within the CAIN Research and Experience Papers-track
S Chandrasekar SS, Chandrasekar IIIT Hyderabad Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications LoCoML: A Framework for Real-World ML Inference Pipelines
Hina SaeedaSaeeda, Hina Chalmers University Sweden PC Member in Program Committee within the CAIN Research and Experience Papers-track
Jordan SamhiSamhi, Jordan University of Luxembourg, LuxembourgLuxembourg PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Antonio Pedro Santos AlvesSantos Alves, Antonio Pedro Pontifical Catholic University of Rio de JaneiroBrazil Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
Federica SarroSarro, Federica University College LondonUnited Kingdom IEEE CS Conference Coordinator in Steering Committee for CAIN 2025
Bradley SchmerlSchmerl, Bradley Carnegie Mellon UniversityUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
Jean-Guy SchneiderSchneider, Jean-Guy Monash UniversityAustralia Safeguarding LLM-Applications: Specify or Train?
Gian Luca ScocciaScoccia, Gian Luca Gran Sasso Science Institute On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content
Joshua Segun OwotogbeSegun Owotogbe, Joshua JADS/Tilburg UniversityNetherlands Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering.
Yorick SensSens, Yorick Ruhr University Bochum Towards a Privacy-by-Design Framework for ML-Enabled Systems
Alex SerbanSerban, Alex Siemens Healthineers and University Transilvania of BrasovRomania PC Member in Program Committee within the CAIN Research and Experience Papers-track
Saad ShafiqShafiq, Saad University of Southern CaliforniaUnited States PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Emad ShihabShihab, Emad Concordia UniversityCanada PC Member in Program Committee within the CAIN Doctoral Symposium-track
Karthik ShivashankarShivashankar, Karthik University of Oslo MLScent: A tool for Anti-pattern detection in ML projects
Arumoy ShomeShome, Arumoy Delft University of TechnologyNetherlands Publicity and Social Media Co-Chair in Organizing Committee for CAIN 2025
Norbert SiegmundSiegmund, Norbert Leipzig UniversityGermany Themes of Building LLM-based Applications for Production: A Practitioner's View PC Member in Program Committee within the CAIN Research and Experience Papers-track
Sebastian SimonSimon, Sebastian Leipzig UniversityGermany Themes of Building LLM-based Applications for Production: A Practitioner's View
Sankhya SinghSingh, Sankhya Deakin University Safeguarding LLM-Applications: Specify or Train?
Shangeetha SivasothySivasothy, Shangeetha Applied Artificial Intelligence Institute, Deakin University RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios PC Member in Posters Committee within the CAIN Posters -track
Hui SongSong, Hui SINTEF DigitalNorway Developing Multi-Agent LLM Applications through Continuous Human-LLM Co-Programming
Romina SpalazzeseSpalazzese, Romina Malmö UniversitySweden PC Member in Program Committee within the CAIN Research and Experience Papers-track
Diomidis SpinellisSpinellis, Diomidis Athens University of Economics and Business & Delft University of TechnologyGreece PC Member in Program Committee within the CAIN Research and Experience Papers-track
Rodrigo SpinolaSpinola, Rodrigo Virginia Commonwealth UniversityUnited States Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
Jan-Philipp SteghöferSteghöfer, Jan-Philipp XITASO GmbH IT & Software SolutionsGermany Challenges in AI Projects for Machinery and Plant Engineering PC Member in Program Committee within the CAIN Research and Experience Papers-track
Fabian StielerStieler, Fabian University of Augsburg All You Need is an AI Platform: A Proposal for a Complete Reference Architecture
Vincenzo StoicoStoico, Vincenzo Vrije Universiteit AmsterdamNetherlands On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content PC Member in Program Committee within the CAIN Research and Experience Papers-track
Sandy SureshSuresh, Sandy PayPal SqPal - text to SQL GenAI tool for PayPal
T Mahyar T. MoghaddamT. Moghaddam, Mahyar University of Southern DenmarkDenmark PC Member in Program Committee within the CAIN Research and Experience Papers-track
Srikanth ThudumuThudumu, Srikanth Deakin University PC Member in Posters Committee within the CAIN Posters -track
Yongqiang TianTian, Yongqiang Hong Kong University of Science and TechnologyChina PC Member in Program Committee within the CAIN Research and Experience Papers-track
Christopher TimperleyTimperley, Christopher From Hazard Identification to Control Design: Proactive and AI-Supported Safety Engineering for ML-powered Systems
U Shafiq UrréhmanUrréhman, Shafiq ZEEKR TECH EUSweden PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
V Karthik VaidhyanathanVaidhyanathan, Karthik IIIT HyderabadIndia Proceedings Chair in Organizing Committee for CAIN 2025
Karthik VaidhyanathanVaidhyanathan, Karthik IIIT Hyderabad Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps LoCoML: A Framework for Real-World ML Inference Pipelines
Karthik VaidhyanathanVaidhyanathan, Karthik IIIT HyderabadIndia PC Member in Program Committee within the CAIN Research and Experience Papers-track
Rajesh VasaVasa, Rajesh Deakin University, AustraliaAustralia Safeguarding LLM-Applications: Specify or Train? RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios PC Member in Posters Committee within the CAIN Posters -track
Mohan VeerubhotlaVeerubhotla, Mohan MontyCloud Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
Merel VeracxVeracx, Merel Fontys University of Applied Sciences Architectures to Embrace Change for Trustworthy AI-based Systems
Lynn VonderhaarVonderhaar, Lynn Embry-Riddle Aeronautical University Generating and Verifying Synthetic Datasets with Requirements Engineering
W Song WangWang, Song York UniversityCanada LLM-Based Safety Case Generation for Baidu Apollo: Are We There Yet? PC Member in Program Committee within the CAIN Research and Experience Papers-track
Stephen John WarnettWarnett, Stephen John University of ViennaAustria Rule-Based Assessment of Reinforcement Learning Practices Using Large Language Models
Hironori WashizakiWashizaki, Hironori Waseda UniversityJapan PC Member in Program Committee within the CAIN Research and Experience Papers-track
Zhengyuan WeiWei, Zhengyuan The University of Hong KongChina PC Member in Program Committee within the CAIN Research and Experience Papers-track
Benjamin WeigellWeigell, Benjamin University of Augsburg All You Need is an AI Platform: A Proposal for a Complete Reference Architecture
Gereon WeissWeiss, Gereon Fraunhofer IKSGermany Posters Co-Chair in Organizing Committee for CAIN 2025 PC Member in Program Committee within the CAIN Research and Experience Papers-track Posters Co-Chair in Posters Committee within the CAIN Posters -track
Niels With MikkelsenWith Mikkelsen, Niels Jyske Bank Bringing Machine Learning Models Beyond the Experimental Stage with Explainable AI
Jie JW WuWu, Jie JW University of British Columbia (UBC)Canada PC Member in Program Committee within the CAIN Research and Experience Papers-track
X Boming XiaXia, Boming CSIRO's Data61 & University of New South WalesAustralia Publicity and Social Media Co-Chair in Organizing Committee for CAIN 2025
Rodrigo XimenesXimenes, Rodrigo Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
Bowen XuXu, Bowen North Carolina State UniversityUnited States Finding Trojan Triggers in Code LLMs: An Occlusion-based Human-in-the-loop Approach
Y Haruki YokoyamaYokoyama, Haruki Fujitsu LimitedJapan Is Generated Images Suitable for Weakness Detection?
Hadiza YusufYusuf, Hadiza University of Michigan - DearbornUnited States Model-Based Verification for AI-Enabled Cyber-Physical Systems through Guided Falsification of Temporal Logic Properties Navigating the Shift: Architectural Transformations and Emerging Verification Demands in AI-Enabled Cyber-Physical Systems
Z Uwe ZdunZdun, Uwe University of ViennaAustria Rule-Based Assessment of Reinforcement Learning Practices Using Large Language Models
Marc ZellerZeller, Marc Siemens AGGermany Industry Track Co-Chair in Organizing Committee for CAIN 2025 PC Member in Program Committee within the CAIN Research and Experience Papers-track Industry Track Co-Chair in Industry Track Program Committee within the CAIN Industry Talks-track
Chi ZhangZhang, Chi Random Perturbation Attacks on LLMs for Code Generation
Tianyi ZhangZhang, Tianyi Purdue UniversityUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track
Liming ZhuZhu, Liming CSIRO’s Data61Australia PC Member in Program Committee within the CAIN Research and Experience Papers-track
Roshanak Zilouchian MoghaddamZilouchian Moghaddam, Roshanak MicrosoftUnited States PC Member in Program Committee within the CAIN Research and Experience Papers-track PC Member in Industry Track Program Committee within the CAIN Industry Talks-track
Thomas ZimmermannZimmermann, Thomas University of California, IrvineUnited States Committee Member in Steering Committee for CAIN 2025 PC Member in Program Committee within the CAIN Research and Experience Papers-track