http://giparisi.github.io

German I. Parisi

Program Director, Product Management, IBM watsonx, New York (NY)

Program Director, Artificial Intelligence, IBM Data & AI, San Jose (CA)

Co-founder and former Board Member, ContinualAI

Google Scholar - LinkedIn - ResearchGate - GitHub

I’m passionate about developing innovative and impactful systems that are interactive by design and delightful by experience.

I currently work on generative AI and agentic frameworks at IBM watsonx, where I design and develop AI/ML-powered algorithms that learn from millions of real-world human-agent interaction examples.

I believe in the transformational power of quantum computing and its incredible potential to disrupt and advance AI.

Some background:

In 2019, our Mountain View-based start-up Apprente Inc. was acquired by McDonald's Corporation with the mission to advance state-of-the-art ML, AI, and related technology solutions that address real-world, data-driven needs in the McDonald’s Restaurant environment and completely transform the customer experience (Press coverage: TechCrunch - WIRED - Business Insider - Yahoo - Forbes).

My 2020 interview on Fortune about the future of QSR and drive-thru automation, and on McD Tech Labs' mission and projects: WIRED, CNN.

I'm the co-founder and former Board Member of ContinualAI, the largest non-profit research organization on continual learning for artificial intelligence with over 2000 active users, online seminars, sponsored workshops, and the community behind Avalanche, an open-source CL library based on PyTorch.
In 2021, my co-authors and I received the Best Article Award from the International Neural Network Society for our paper on continual learning.
In 2021, our R&D division at McDonald's Corporation, McD Tech Labs, was acquired by IBM, and in 2022 our voice-activated solution became part of the watsonx portfolio.

Selected Publications

Churamani, Dimlioglu, Parisi, Gunes. (2023)

Continual Facial Expression Recognition: A Benchmark.arXiv preprint arXiv:2305.06448
Lomonaco et al. (2021)Avalanche: an end-to-end library for continual learning.IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Parisi, G.I., Kemker, R., Part, J.L., Kanan, C., Wermter, S. (2019)Continual Lifelong Learning with Neural Networks: A Review. - Best Article AwardNeural Networks 133:54-71. [arXiv:1802.07569]
Barros, P., Parisi, G.I., Wermter, S. (2019) A Personalized Affective Memory Model for Improving Emotion Recognition.ICML'19, Long Beach, CA.
Parisi, G.I., Tani, J., Weber, C., Wermter, S. (2018)Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization.Frontiers in Neurorobotics 12:78 [arXiv:1805.10966]
Parisi, G.I., Barros, P., Fu, D., Magg., S. Wu, H., Liu, X., Wermter, S. (2018)A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments.IEEE/RSJ IROS'18, Madrid, Spain [arXiv:1802.10408]

See all publications

Organized Events & Special Issues

March 2022 Lifelong Learning and Personalization in Long-Term Human-Robot Interaction - Second Edition@ ACM/IEEE International Conference on Human-Robot Interaction (HRI) - Virtual
March 2021 Lifelong Learning and Personalization in Long-Term Human-Robot Interaction@ ACM/IEEE International Conference on Human-Robot Interaction (HRI) - Virtual
June 2020 [CFP] Special Issue: Lifelong Learning and Long-Term Human-Robot InteractionFrontiers in Robotics and AI, Psychology
2020-09-04 Workshop on Lifelong Learning for Long-term Human-Robot Interaction@ RO-MAN 2020 in Naples, Italy
2020-06-14 Workshop on Continual Learning in Computer Vision@ CVPR 2020, Seattle, WA
2019 - [CFP] Research Topic: "Closing the Loop: From Human Behavior to Multisensory Robots"Frontiers in Robotics and AI, Psychology, and Neuroscience
2018-10-05 - Workshop on Crossmodal Learning for Intelligent Robotics @ IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)'18, Madrid, Spain
2018-09-08 - Workshop on Intelligent Assistive Systems @ IEEE World Congress on Computational Intelligence (WCCI-IJCNN) '18, Rio de Janeiro, Brazil
2018 - [CFP] Special Issue on Crossmodal Learning Cognitive Systems Research journal (Elsevier)
2017-09-18 - Workshop on Computational Models for Crossmodal Learning @ Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EPIROB) '17, Lisbon, Portugal

Invited Seminars

2020-01-31 "Towards Lifelong Conversational AI", RE-WORK Applied AI Summit 2020, San Francisco, CA, USA
2019-04-16 "Lifelong Continual Learning with Neural Networks", tutorial at the INNS Big Data and Deep Learning 2019, Sestri Levante, Genoa, Italy
2018-09-20 "Lifelong Continual Learning with Neural Networks", RE-WORK Deep Learning Summit, London, UK
2018-06-23 "Lifelong Learning on Humanoid Robots", Dept. of Computer Science, Oxford University, Oxford, UK
2018-03-16 "Continual Learning of Representations with Deep Neural Network Self-Organization", Stanford AI Lab (SAIL), Stanford University, Stanford, CA, USA
2017-07-11 "Deep Neural Network Self-Organization for Lifelong (Multimodal) Learning", Kreiman's Lab, Harvard University, Cambridge, MA, USA
2015-11-20 "A neurocognitive assistive robot: Human action learning with neural network self-organization", Asada Laboratory, Osaka University, Osaka, Japan.
2015-11-10 "Emergence of multimodal cognitive representations from neural network self-organization", Cognitive Neuro-Robotics Lab, KAIST, Daejeon, South Korea.
2014-12-18 "Neurocognitive assistive robotics", Dept. of Theoretical Computer Science and Mathematical Logic, Charles University in Prague, Czech Republic
2014-12-11 "Neural integration of pose-motion features for human action recognition", Slipguru, Universita' di Genova, Genoa, Italy.

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