This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 766186. EU Flag
SupervisorTalks
Bernhard SendhoffDecember 2021 Invited Talk: AI in Engineering Design From Tools to Partners Center for Artificial Intelligence and Data Science, University of Würzburg, Germany November 2021 Invited Talk: AI in Engineering Design From Tools to Partners Computational Optimization and Innovation Laboratory, Michigan State University, USA August 2021 Keynote Talk: Data-driven AI in Engineering Design From Tools to Partners IEEE CIS Summer School on Data-Driven Artificial/Computational Intelligence, UK August 2021 Keynote Talk: AI in Engineering Design From Tools to Partners 3rd International Conference on Industrial Artificial Intelligence Shenyang, Liaoning, China July 2020 Keynote Talk: Cooperation – Experience – Creativity: Towards a new role of Optimization and AI in Engineering IEEE World Congress on Computational Intelligence Glasgow, UK
Thomas BäckOctober 2021 Invited Talk: Industrial Optimization and the Search for New Algorithms. MALVIC: Machine Learning and Vision for Industrial Applications. Autumn School, NORCE Norwegian Research Center, Kristiansand, NO. December 2020 Invited Talk: Generating Innovations by Optimization and Learning. Innovate your Space, Symposium organized by TU Delft, TNO and SRON. November 2019 Keynote Talk: Modular Approaches for Automatic Configuration and Learning. 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), University of Manchester, UK.
Leandro MinkuDec 2021 Plenary talk: Towards Robustness to Different Types of Concept Drift in Data Stream Learning, IncrLearn Workshop on Incremental Classification and Clustering, Concept Drift, Novelty Detection in Big/Fast data Context, held in conjunction with 21th IEEE International Conference on Data Mining (ICDM 2021) Sept 2021 Keynote: Prediction of Defect-Inducing Software Changes in Dynamic Environments, 24th Iberoamerican Conference on Software Engineering (CIbSE 2021), Costa Rica June 2021 Invited Talk: Transfer Learning for Software Engineering Federal University of Parana and Pontifical Catholic University of Rio de Janeiro, Brazil Jan 2020 Invited Talk: Cross-Project Learning in Online Just-In-Time Software Defect Prediction, University of Leicester, UK Sept 2020 Invited Talk: Data Stream Learning in Non-Stationary Environments Online event via Even3, Federal University of Pernambuco, Brazil Also streamed live at: https://youtu.be/SNcVX7yZdJI Sept 2020 Panelist in the Panel on How will machine learning change the way IT professionals work? 13th International Conference on the Quality of Information and Communications Technology (QUATIC 2020), Online Conference due to covid-19 Sept 2020 Keynote: The Whole is Better Than the Sum of the Parts – On The Value of Machine Learning Ensemble Methods, BEAR PGR Conference, Birmingham UK, Apr 2019. Invited Talk: Class Imbalance Evolution and Verification Latency in Just-in-Time, Software Defect Prediction, Oxford Brookes University UK Dec 2018 Invited Talk: A Novel Automated Approach for Software Effort Estimation Based on Data Augmentation, The 60th CREST Open Workshop – Those Were the DAASE, UK Nov 2018 Invited Webinar: A Novel Data Augmentation Technique for Regression Problems and Its Application to Software Effort Estimation, IEEE Computational Intelligence Society Webinar
Xin Yao18-22 October 2021 Invited lecturer at the Autumn School MALVIC: Machine Learning and Vision for Industrial Applications (MALVIC 2021), Kristiansand, Norway. Talk title: “Ensemble Approaches to Class Imbalance Learning”. 17-20 October 2021 Invited keynote speaker at the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), Melbourne, Australia. Talk title: “Ensemble Approaches to Class Imbalance Learning”. 2-4 July 2021 Invited keynote speaker at 2021 the 4th International Conference on Big Data and Artificial Intelligence (BDAI 2021), Qingdao, China. Talk title: “Ensemble Approaches to Class Imbalance Learning”. 28 June - 1 July 2021 Invited plenary speaker at the 2021 IEEE Congress on Evolutionary Computation (CEC’2021), Krakow, Poland. Talk title: “When Everything Else Fails, Try Co-evolution”. 11-13 June 2021 Invited keynote speaker at the third Chinese Computational and Cognitive Neuroscience (CCCN) Conference, Shenzhen, China. Talk title: “Forgotten Questions in Brain-inspired Computation”. 7-9 November 2020 Invited keynote speaker at the 15th Chinese Conference on Computer Supported Cooperative Work and Social Computing (ChineseCSCW 2020), Shenzhen, China. August 2021 Keynote Talk: When Everything Else Fails, Try Co-Evolution IEEE CIS Summer School on Data-Driven Artificial/Computational Intelligence, UK 6-9 December 2019 Invited plenary speaker at the 2019 IEEE Symposium Series on Computational Intelligence (SSCI2019),Xiamen, China. 2-5 December 2019 Invited keynote speaker at the 32nd Australasian Joint Conference on Artificial Intelligence (AI 2019), Adelaide, SA, Australia. 10-13 June 2019 Invited public lecture at the 2019 IEEE Congress on Evolutionary Computation (CEC’2019) Wellington, New Zealand. 18 December 2018 Invited keynote speaker at the 2018 Workshop on Internet-Plus Manufacturing and Services Operations Management (IMSOM 2018), Shenyang, China. 6-7 December 2018 Invited keynote speaker at the 9th International Symposium on Information and Communication Technology (SoICT 2018), Da Nang City, Viet Nam 21-23 November 2018 Invited keynote speaker at the 19th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2018), Madrid, Spain. 2-4 November 2018 Invited keynote speaker at the 13th International Conference on Bio-inspired Computing: Theories and Applications (BIC-TA 2018), Beijing, China. June 30-July 6, 2018 Invited plenary speaker at the 8th International Conference on Information Science and Technology (ICIST 2018), Cordoba-Granada-Seville, Spain