March 8th, 2022 
Daniela Lopez de Luise LOD 2022, An Interdisciplinary Conference: #MachineLearning, #Optimization, #BigData & #ArtificialIntelligence, #DeepLearning without Borders
PAPERS SUBMISSION: March 23 (Anywhere on Earth)
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=lod2022
LOD 2022 KEYNOTE SPEAKER(S):
* Pierre Baldi, University of California Irvine, USA
* Jürgen Bajorath, University of Bonn, Germany
LOD 2022 TUTORIAL SPEAKER:
* Simone Scardapane, University of Rome “La Sapienza”, Italy
ACAIN 2022 KEYNOTE SPEAKERS:
* Marvin M. Chun, Yale University, USA
* Ila Fiete, MIT, USA
* Karl Friston, University College London, UK & Wellcome Trust Centre for Neuroimaging
* Wulfram Gerstner, EPFL, Switzerland
* Máté Lengyel, Cambridge University, UK
* Max Erik Tegmark, MIT, USA & Future of Life Institute
* Michail Tsodyks, Institute for Advanced Study, USA
More Lecturers and Speakers to be announced soon!
https://acain2022.artificial-intelligence-sas.org/course-lecturers/
PAPER FORMAT:
Please prepare your paper using the Springer Nature – Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF.
TYPES OF SUBMISSIONS:
When submitting a paper to LOD 2022, authors are required to select one of the following four types of papers:
* long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format);
* short paper: an extended abstract of novel work (max. 5 pages);
* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;
* abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant, and which may solicit fruitful discussion at the conference.
Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments.
Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact.
It is also possible to present the talk virtually (Zoom).
LOD 2022 Special Sessions:
https://lod2022.icas.cc/special-sessions/
https://easychair.org/my/conference?conf=lod2022
PAST LOD KEYNOTE SPEAKERS:
https://lod2022.icas.cc/past-keynote-speakers/
Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada
Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany
Jörg Bornschein, DeepMind, London, UK
Michael Bronstein, Imperial College London, UK
Nello Cristianini, University of Bristol, UK
Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal
Marco Gori, University of Siena, Italy
Arthur Gretton, UCL, UK
Arthur Guez, Google DeepMind, Montreal, UK
Yi-Ke Guo, Imperial College London, UK
George Karypis, University of Minnesota, USA
Vipin Kumar, University of Minnesota, USA
Marta Kwiatkowska, University of Oxford, UK
George Michailidis, University of Florida, USA
Kaisa Miettinen, University of Jyväskylä, Finland
Stephen Muggleton, Imperial College London, UK
Panos Pardalos, University of Florida, USA
Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany
Tomaso Poggio, MIT, USA
Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia
Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA
Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple
Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa
Richard E. Turner, Department of Engineering, University of Cambridge, UK
Ruth Urner, York University, Toronto, Canada
Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for Intelligent Systems, Tübingen, Germany
TRACKS & SPECIAL SESSIONS:
https://lod2022.icas.cc/special-sessions/
BEST PAPER AWARD:
Springer sponsors the LOD 2022 Best Paper Award
https://lod2022.icas.cc/best-paper-award/
PROGRAM COMMITTEE:
https://lod2022.icas.cc/program-committee/
VENUE:
https://lod2022.icas.cc/venue/
The venue of LOD 2022 will be The Certosa di Pontignano — Siena
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info@lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
Contact person: Dr. Lorenzo Pasquinuzzi
You need to book your accommodation at the venue and pay the amount for accommodation directly to the Certosa di Pontignano.
ACTIVITIES:
https://lod2022.icas.cc/activities/
POSTER:
https://lod2022.icas.cc/wp-content/uploads/sites/20/2022/02/poster-LOD-2022-1.png
Submit your research work today!
https://easychair.org/conferences/?conf=lod2022
See you in the beautiful Tuscany in September!
Best regards,
LOD 2022 Organizing Committee
LOD 2022 NEWS:
https://lod2022.icas.cc/category/news/
Past Editions
https://lod2022.icas.cc/past-editions/
LOD 2021, The Seventh International Conference on Machine Learning, Optimization and Big Data
Grasmere – Lake District – England, UK. Nature Springer – LNCS volumes 13163 and 13164.
LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volumes 12565 and 12566.
LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data
Certosa di Pontignano – Siena – Tuscany – Italy.
Nature Springer – LNCS volume 11943.
LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Nature Springer – LNCS volume 11331.
MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10710.
MOD 2016, The Second International Workshop on Machine learning, Optimization and big Data
Volterra – Tuscany – Italy. Springer – LNCS volume 10122.
MOD 2015, International Workshop on Machine learning, Optimization and big Data
Taormina – Sicily – Italy. Springer – LNCS volume 9432.
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