WAIN'21 Contributors

Filter

Role Type

Contributing to

Number of Roles

Country

Results (121)

A Sophia AbrahamAbraham, Sophia University of Notre Dame Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Bram AdamsAdams, Bram MCIS, Polytechnique MontréalCanada Committee Member in Program Committee within the WAIN-track
Ankit AgrawalAgrawal, Ankit University of Notre Dame Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Leonardo Alexandre Ferreira LeiteAlexandre Ferreira Leite, Leonardo University of São PauloBrazil Product Engineering for Machine Learning: A Grey Literature Review
Isaque AlvesAlves, Isaque University of Brasilia (UnB)Brazil Product Engineering for Machine Learning: A Grey Literature Review
Maddalena AmorusoAmoruso, Maddalena Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.
Maurício AnicheAniche, Maurício Delft University of TechnologyNetherlands The Prevalence of Code Smells in Machine Learning projects
Anders ArptegArpteg, Anders Peltarion, SE Committee Member in Program Committee within the WAIN-track
B Sreya BanerjeeBanerjee, Sreya Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Stephany BellomoBellomo, Stephany Software Engineering Institute Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems
Christian BirdBird, Christian Microsoft ResearchUnited States Committee Member in Program Committee within the WAIN-track
Jan BoschBosch, Jan Chalmers University of TechnologySweden Session Chair of WAIN'21 Research&Academic Panel (part of WAIN) Session Chair of Opening Session (part of WAIN) Opening session Co-chair in Organizing Committee within the WAIN-track
Lionel BriandBriand, Lionel University of Luxembourg and University of Ottawa Lionel Briand, Trustworthy Machine Learning-Enabled Systems
Björn BrinneBrinne, Björn Peltarion, SE Industry panel
C Fabio CalefatoCalefato, Fabio University of BariItaly Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.
Matteo CamilliCamilli, Matteo Free University of Bozen-BolzanoItaly Towards Risk Modeling for Collaborative AI
Zachariah CarmichaelCarmichael, Zachariah University of Notre DameUnited States Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Carolyn CartwrightCartwright, Carolyn Linnaeus: A highly reusable and adaptable ML based log classification pipeline
Armin CatovicCatovic, Armin SchibstedSweden Linnaeus: A highly reusable and adaptable ML based log classification pipeline
Akriti ChaddaChadda, Akriti Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report
Raman ChandrasekarChandrasekar, Raman Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report
Brand ChristophChristoph, Brand Siemens, DE Committee Member in Program Committee within the WAIN-track
Krerkkiat ChusapChusap, Krerkkiat Verbatim Machine Learning Model Manifestation in Manageable Neighborhoods
Jane Cleland-HuangCleland-Huang, Jane University of Notre DameUnited States Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems Research&Academic Panel Committee Member in Program Committee within the WAIN-track
Filip CornellCornell, Filip Position paper: Why we need to align academic education and industry requirements with respect to Machine Learning
Roger CreusCreus, Roger Universitat Politècnica de CatalunyaSpain Integration of Convolutional Neural Networks in Mobile Applications
Ivica CrnkovicCrnkovic, Ivica Chalmers University of TechnologySweden Session Chair of WAIN'21 Keynote 1 (part of WAIN) Session Chair of Opening Session (part of WAIN) Opening session Co-chair in Organizing Committee within the WAIN-track
Luís CruzCruz, Luís Deflt University of TechnologyNetherlands Session Chair of Position papers presentations (part of WAIN) Systematic Mapping Study on the Machine Learning Lifecycle The Prevalence of Code Smells in Machine Learning projects Committee Member in Program Committee within the WAIN-track
D Georgios DeligiorgisDeligiorgis, Georgios Technical Debt in Industrial AI Research Projects
Pavel DmitrievDmitriev, Pavel Outreach.ioUnited States Committee Member in Program Committee within the WAIN-track
E Emelie EngstromEngstrom, Emelie Lund UniversitySweden Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice
F Aleksander FabijanFabijan, Aleksander MicrosoftUnited States Industry panel
Aleksander FabijanFabijan, Aleksander MicrosoftUnited States Committee Member in Program Committee within the WAIN-track
Michael FeldererFelderer, Michael University of InnsbruckAustria Towards Risk Modeling for Collaborative AI
Simone FerlinFerlin, Simone Linnaeus: A highly reusable and adaptable ML based log classification pipeline
Elena FersmanFersman, Elena Ericsson & KTH Royal Institute of TechnologySweden Industry panel
michele filanninofilannino, michele Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.
Brian FitzgeraldFitzgerald, Brian Lero - The Irish Software Research Centre and University of LimerickIreland Research&Academic Panel
Brian FitzgeraldFitzgerald, Brian Lero, IE Committee Member in Program Committee within the WAIN-track
Xavier FranchFranch, Xavier Universitat Politècnica de CatalunyaSpain Integration of Convolutional Neural Networks in Mobile Applications
Fabio FumarolaFumarola, Fabio Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.
G Andrea GiustiGiusti, Andrea Towards Risk Modeling for Collaborative AI
Ian GortonGorton, Ian Northeastern University – Seattle, USAUnited States Engineering an Intelligent Essay Scoring and Feedback System: An Experience Report Research&Academic Panel Committee Member in Program Committee within the WAIN-track
Tuomas GranlundGranlund, Tuomas MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases
H Petra HeckHeck, Petra Fontys ICTNetherlands Systematic Mapping Study on the Machine Learning Lifecycle Lessons Learned from Educating AI Engineers Committee Member in Program Committee within the WAIN-track
Hans-Martin HeynHeyn, Hans-Martin University of Gothenburg & Chalmers University of TechnologySweden Requirement engineering challenges for AI-intense distributed systems
Helena Holmström OlssonHolmström Olsson, Helena Malmö UniversitySweden Session Chair of Opening Session (part of WAIN) Session Chair of WAIN'21 Industry Panel (part of WAIN) Opening session Co-chair in Organizing Committee within the WAIN-track
Holger HoosHoos, Holger Practices for Engineering Trustworthy Machine Learning Applications
I Sylvia IlievaIlieva, Sylvia Sofia UniversityBulgaria Committee Member in Program Committee within the WAIN-track
David Issa MattosIssa Mattos, David Chalmers University of Technology Web Chair in Organizing Committee within the WAIN-track
J Juha-Pekka JoutsenlahtiJoutsenlahti, Juha-Pekka Challenges and Governance Solutions for Data Science Services based on Open Data and APIs
K Elina KettunenKettunen, Elina Challenges and Governance Solutions for Data Science Services based on Open Data and APIs
Foutse KhomhKhomh, Foutse Polytechnique MontréalCanada Committee Member in Program Committee within the WAIN-track
Eric KnaussKnauss, Eric Chalmers \| University of GothenburgSweden Requirement engineering challenges for AI-intense distributed systems
Errol KoolmeisterKoolmeister, Errol H&M Technical Debt in Industrial AI Research Projects Errol Koolmeister: Engineering AI at H&M group
Aleksi KopponenKopponen, Aleksi MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases
L Sebastien LafondLafond, Sebastien Åbo Akademi UniversityFinland Data collection and Acceleration Infrastructure for FPGA-based Edge AI Applications
Daniel LangkildeLangkilde, Daniel Annotell, SE Committee Member in Program Committee within the WAIN-track
Filippo LanubileLanubile, Filippo University of BariItaly Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.
Luigi LavazzaLavazza, Luigi Università degli Studi dell'InsubriaItaly Understanding and Modeling AI-Intensive System Development
Timo LehtonenLehtonen, Timo Challenges and Governance Solutions for Data Science Services based on Open Data and APIs
Grace LewisLewis, Grace Carnegie Mellon Software Engineering InstituteUnited States Session Chair of Session 5: Designing AI systems I (part of WAIN) Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems Committee Member in Program Committee within the WAIN-track
Zhongen LiLi, Zhongen Verbatim Machine Learning Model Manifestation in Manageable Neighborhoods
Chang LiuLiu, Chang Verbatim Machine Learning Model Manifestation in Manageable Neighborhoods
David LoLo, David Singapore Management UniversitySingapore Session Chair of Session 4: Applying ML technologies (part of WAIN) Committee Member in Program Committee within the WAIN-track
Lucy Ellen LwakatareLwakatare, Lucy Ellen University of Helsinki, FinlandFinland Session Chair of Opening Session (part of WAIN) Opening session Co-chair in Organizing Committee within the WAIN-track
M Silverio Martínez-FernándezMartínez-Fernández, Silverio UPC-BarcelonaTechSpain Integration of Convolutional Neural Networks in Mobile Applications
Paulo MeirellesMeirelles, Paulo University of São Paulo Product Engineering for Machine Learning: A Grey Literature Review
Tim MenziesMenzies, Tim North Carolina State University, USAUnited States Committee Member in Program Committee within the WAIN-track
Tommi MikkonenMikkonen, Tommi Tampere University of Technology Challenges and Governance Solutions for Data Science Services based on Open Data and APIs
Tommi MikkonenMikkonen, Tommi University of Helsinki Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help? MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases
Sandro MorascaMorasca, Sandro Università degli Studi dell'InsubriaItaly Understanding and Modeling AI-Intensive System Development
Henry MucciniMuccini, Henry University of L'Aquila, Italy Session Chair of Session 1: Challenges in developing Machine-Learning-Enabled Systems - Experience from the trenches. (part of WAIN) Software Architecture for ML-based Systems: What Exists and What Lies Ahead Committee Member in Program Committee within the WAIN-track
Lalli MyllyahoMyllyaho, Lalli MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases
Sasu MäkinenMäkinen, Sasu Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?
N Md Nafee Al IslamNafee Al Islam, Md Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Tien N. NguyenNguyen, Tien N. University of Texas at Dallas Committee Member in Program Committee within the WAIN-track
Mats NordlundNordlund, Mats Volvo-Zenuity, SE Committee Member in Program Committee within the WAIN-track
O Helena Odenstedt HergesOdenstedt Herges, Helena Robust Machine Learning in Critical Care - Software Engineering and Medical Perspectives
Fredrik OlssonOlsson, Fredrik Position paper: Why we need to align academic education and industry requirements with respect to Machine Learning
Tinghui OuyangOuyang, Tinghui Corner Case Data Description and Detection
Ipek OzkayaOzkaya, Ipek Carnegie Mellon Software Engineering InstituteUnited States Characterizing and Detecting Mismatch in Machine-Learning-Enabled Systems Research&Academic Panel Committee Member in Program Committee within the WAIN-track
P Frances PaulischPaulisch, Frances Siemens HealthineersGermany Committee Member in Program Committee within the WAIN-track
Patrizio PelliccionePelliccione, Patrizio Gran Sasso Science Institute (GSSI) and Chalmers \| University of GothenburgItaly Committee Member in Program Committee within the WAIN-track
Anna PeriniPerini, Anna Fondazione Bruno KesslerItaly Towards Risk Modeling for Collaborative AI
Amna Pir MuhammadPir Muhammad, Amna Requirement engineering challenges for AI-intense distributed systems
Barbara PlankPlank, Barbara IT University of Copenhagen, DK Research&Academic Panel Committee Member in Program Committee within the WAIN-track
Q Luigi QuarantaQuaranta, Luigi University of Bari, ItalyItaly Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists.
R Mikko RaatikainenRaatikainen, Mikko Challenges and Governance Solutions for Data Science Services based on Open Data and APIs
Jan S. RellermeyerRellermeyer, Jan S. TU DelftNetherlands Systematic Mapping Study on the Machine Learning Lifecycle
Hergys RexhaRexha, Hergys Åbo Akademi UniversityFinland Data collection and Acceleration Infrastructure for FPGA-based Edge AI Applications
David RosenblumRosenblum, David George Mason UniversityUnited States Committee Member in Program Committee within the WAIN-track
Per RunesonRuneson, Per Lund UniversitySweden Session Chair of Session 3: Software engineering lifecycle phases for AI systems (part of WAIN) Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice Committee Member in Program Committee within the WAIN-track
Barbara RussoRusso, Barbara Free University of BolzanoItaly Towards Risk Modeling for Collaborative AI
S Raghu SangwanSangwan, Raghu Pennsylvania State UniversityUnited States Session Chair of Session 6: Designing AI systems II (part of WAIN) Committee Member in Program Committee within the WAIN-track
Walter ScheirerScheirer, Walter Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Alex SerbanSerban, Alex Radboud UniversityNetherlands Practices for Engineering Trustworthy Machine Learning Applications
Carla Silva Rocha AguiarSilva Rocha Aguiar, Carla unbBrazil Product Engineering for Machine Learning: A Grey Literature Review
Henrik SkogströmSkogström, Henrik Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?
Fanghao SongSong, Fanghao Verbatim Machine Learning Model Manifestation in Manageable Neighborhoods
Qunying SongSong, Qunying Lund UniversitySweden Concepts in Testing of Autonomous Systems: Academic Literature and Industry Practice
Miroslaw StaronStaron, Miroslaw University of GothenburgSweden Robust Machine Learning in Critical Care - Software Engineering and Medical Perspectives
Vlad StirbuStirbu, Vlad MLOps Challenges in Multi-Organization Setup: Experiences from Two Real-World Cases
Angelo SusiSusi, Angelo Fondazione Bruno Kessler Towards Risk Modeling for Collaborative AI
T Yasmin Tesfaldet GebreyesusTesfaldet Gebreyesus, Yasmin Linnaeus: A highly reusable and adaptable ML based log classification pipeline
Andreas TjernstenTjernsten, Andreas Technical Debt in Industrial AI Research Projects
Marco TrincavelliTrincavelli, Marco Technical Debt in Industrial AI Research Projects
U Misbah UddinUddin, Misbah Technical Debt in Industrial AI Research Projects
Milan UngerUnger, Milan Data acquisition and the implication of machine learning in the development of a Clinical Decision Support system
V Karthik VaidhyanathanVaidhyanathan, Karthik University of L'AquilaItaly Software Architecture for ML-based Systems: What Exists and What Lies Ahead
Koen van der Blomvan der Blom, Koen Practices for Engineering Trustworthy Machine Learning Applications
Arie van Deursenvan Deursen, Arie Delft University of Technology, NetherlandsNetherlands The Prevalence of Code Smells in Machine Learning projects
Bart van Oortvan Oort, Bart The Prevalence of Code Smells in Machine Learning projects
Rosaura VidalMataVidalMata, Rosaura University of Notre DameUnited States Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Joost VisserVisser, Joost Leiden UniversityNetherlands Practices for Engineering Trustworthy Machine Learning Applications
Aneta VulgarakisVulgarakis, Aneta Ericsson, SE Session Chair of Session 2: Engineering Trustworthy AI Systems (part of WAIN) Committee Member in Program Committee within the WAIN-track
W Roland WeissWeiss, Roland ABBGermany Industry panel Committee Member in Program Committee within the WAIN-track
X Yuanhao XieXie, Yuanhao Systematic Mapping Study on the Machine Learning Lifecycle
Z Xianlong ZengZeng, Xianlong Verbatim Machine Learning Model Manifestation in Manageable Neighborhoods
Liming ZhuZhu, Liming Data61 at CSIRO, Australia / UNSW, AustraliaAustralia Committee Member in Program Committee within the WAIN-track
Thomas ZimmermannZimmermann, Thomas Microsoft ResearchUnited States Committee Member in Program Committee within the WAIN-track