Accommodations: B&B near the Certosa di Pontignano

B&B Agriturismo Pontignanello

Phone: +39 3663285809


Località Pontignanello 13 – Castelnuovo Berardenga (Siena)

B&B Casa Certosa
Via Pontignanello, 4 Località Pontignano, 53019 Castelnuovo Berardenga (Siena)
Mobile: + 39 3333257979 , Phone: + 39 0577357800

Web site (in italian):


via Fabrizio de Andrè, 26

Località Ponte a Bozzone Castelnuovo Berardenga (Siena)

Phone: +39. 348.762.753.5

Phone: +39.349.879.285.8



B&B Miscianello











Limited Number of Onsite Registrations

Unfortunately for obvious reasons, there is a maximum number of onsite seats and consequently there is a limited number of onsite registrations. Currently, there is no limitation on the number of online registrations.

For this reason, the well-known “first come first serve” strategy will be adopted, so if you want to participate in presence, we recommend that you register as soon as possible.

Similarly for the accommodation available at the Certosa di Pontignano, if you want to stay in the Conference Venue we recommend that you check in advance with the Certosa di Pontignano staff about the availability of accommodation.

New Lecturer: Danica Kragic, Royal Institute of Technology, Sweden

Danica Kragic is a Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She received MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia in 1995 and PhD in Computer Science from KTH in 2001. She has been a visiting researcher at Columbia University, Johns Hopkins University and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Danica received the 2007 IEEE Robotics and Automation Society Early Academic Career Award. She is a member of the Royal Swedish Academy of Sciences, Royal Swedish Academy of Engineering Sciences and Young Academy of Sweden. She holds a Honorary Doctorate from the Lappeenranta University of Technology. She chaired IEEE RAS Technical Committee on Computer and Robot Vision and served as an IEEE RAS AdCom member. Her research is in the area of robotics, computer vision and machine learning. In 2012, she received an ERC Starting Grant. Her research is supported by the EU, Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research and Swedish Research Council. She is an IEEE Fellow.

New Lecturer: Yukie Nagai, The University of Tokyo, Japan

Dr. Yukie Nagai has been investigating underlying neural mechanisms for social cognitive development by means of computational approaches. She designs neural network models for robots to learn to acquire cognitive functions such as self-other cognition, estimation of others’ intention and emotion, altruism, and so on based on the theory of predictive coding. The simulator reproducing atypical perception in autism spectrum disorder (ASD), which has been developed by her group, greatly impacts the society as it enables people with and without ASD to better understand potential causes for social difficulties. She was elected to “30 women in robotics you need to know about” in 2019 and “World’s 50 Most Renowned Women in Robotics” in 2020. She serves as the principal investigator of JST CREST “Cognitive Mirroring” and CREST “Cognitive Feeling” since December 2016 and October 2021, respectively.
She is also a member of International Research Center for Neurointelligence at the University of Tokyo since 2019, and a member of Next Generation Artificial Intelligence Research Center and Forefront Physics and Mathematics Program to Drive Transformation at the University of Tokyo since 2020.

New Lecturer: Edith Elkind, University of Oxford

Edith Elkind is a Professor of Computer Science at University of Oxford. She obtained her PhD from Princeton in 2005, and has worked in the UK, Israel, and Singapore before joining Oxford in 2013. She works in algorithmic game theory, with a focus on algorithms for collective decision making and coalition formation. Edith has published over 100 papers in leading AI conferences and journals, and has served as a program chair of WINE, AAMAS, ACM EC and COMSOC; she will serve as a program chair of IJCAI in 2023.


New Lecturer: Alex Davies, DeepMind, London, UK

Alex Davies is the founding lead of the AI for Maths initiative at DeepMind, the team which recently published their work on using AI in maths in Nature. Prior to DeepMind, Alex Davies worked at Google on Machine Intelligence and also as a guest lecturer at the University of Oxford. He obtained his Ph.D. from the University of Cambridge, supervised by Zoubin Ghahramani.


New Lecturer: Silvio Savarese, Salesforce & Stanford University, USA

Silvio Savarese is Executive Vice President and Chief Scientist of Salesforce Research as well as an Adjunct Faculty of Computer Science at Stanford University. He earned his Ph.D. in Electrical Engineering from the California Institute of Technology in 2005 and was a Beckman Institute Fellow at the University of Illinois at Urbana-Champaign from 2005–2008. He joined Stanford in 2013 after being Assistant and then Associate Professor (with tenure) of Electrical and Computer Engineering at the University of Michigan, Ann Arbor, from 2008 to 2013. His research interests include computer vision, object recognition and scene understanding, shape representation and reconstruction, human activity recognition and visual psychophysics. He is recipient of several awards including a Best Student Paper Award at CVPR 2016, the James R. Croes Medal in 2013, a TRW Automotive Endowed Research Award in 2012, an NSF Career Award in 2011 and Google Research Award in 2010. In 2002 he was awarded the Walker von Brimer Award for outstanding research initiative.