archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series] (Geometric) Constraints Solving Using Multivariate Spline Functions

Dates
2024-09-16 11:30 - 14:00
Venue
Artemidos 1 - Amphitheater
Title: (Geometric) Constraints Solving Using Multivariate Spline Functions

Presenter: Professor Gershon Elber, CS, Technion*


Abstract:
We present a subdivision based paradigm to solve a set of (piecewise) rational constraints represented by multivariate (piecewise) rational spline functions.  The constraints can be formulated as either inequalities or equalities (semi-algebraic sets).  The presented solver is not only capable of finding all solutions, globally, but is also capable of handling solution spaces of dimensions larger than zero. A special care is taken to guarantee all roots are isolated via a single solution geometric test.
This solver was applied to a large variety of geometric problems above the (piecewise) rationals domain that will be discussed as part of the talk.  This set includes point-curve and curve-curve bi-tangents, convex hulls and kernels of planar curves and 3-space surfaces, ray-traps (bouncing billiard balls) between planar curves, the 10th Apollonius problem (circle tangent to given three circles), bounding circles, bisectors and voronoi regions, mold design, visibility and accessibility, sweeps and envelopes, and self-intersection trimming in offset approximations of curves and surfaces.

Bio: 
Gershon Elber is a professor in the Computer Science Department, Technion, Israel. His research interests span computer aided geometric design and computer graphics.  Prof. Elber received a BSc in computer engineering and an MSc in computer science from the Technion, Israel in 1986 and 1987, respectively, and a PhD in computer science from the University of Utah, USA, in 1992. Prof. Elber had several academic and Technion appointments, including the deputy vice president for computing, Technion, 2010-2013, and a member and head of the Solid Modeling Association (the parent organization of the solid and physical modeling, SPM, conferences), 2008-2010.   He is now the head of the Technion Additive Manufacturing Center. Prof. Elber has served on the editorial board of the Computer Aided Design, Computer Graphics Forum, The Visual Computer, Graphical Models, and the International Journal of Computational Geometry & Applications and has served in many conferences' program committees including Solid Modeling, Shape Modeling, Geometric Modeling and Processing, Pacific Graphics, Computer Graphics International, and Siggraph.  Prof. Elber was one of the paper chairs of Solid Modeling 2003 and Solid Modeling 2004, one of the conference chairs of Solid and Physical Modeling 2010, the chair of GDM 2014, the conference co-chair of SIAM GD/SPM 2015, and the conference co-chair of SPM 2018.  He has published over 250 papers in international conferences and journals, received 15 best paper awards, presented a dozen keynote plenary talks, and is one of the authors of a book titled "Geometric Modeling with Splines - An Introduction". Prof. Elber received the John Gregory Memorial Award, 2011, in "Appreciation for Outstanding Contributions in Geometric Modeling", the Solid Modeling Association pioneers award in 2016, the Bezier award in 2019, and the Kunii award in 2024.
* Some of this work has been conducted in collaboration with many others including Myung-Soo Kim, SNU, Korea, Elaine Cohen,  University of Utah, USA, Tom Grandine, Boeing, USA, Ralph Martin, Cardiff, Michael Barton and Yong Joon Kim, Technion.

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

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Best Paper Award at FAIEMA 202

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Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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