Model Checking and the Curse of Dimensionality
Prof. Edmund M. Clarke,
Carnegie Mellon University, USA –
Model Checking is an automatic verification technique for large state transition systems. It was originally developed for reasoning about finite-state concurrent systems. The technique has been used successfully to debug complex computer hardware and communication protocols. Now, it is beginning to be used for software verification as well. The major disadvantage of the technique is a phenomenon called the State Explosion Problem. This problem is impossible to avoid in worst case. However, by using sophisticated data structures and clever search algorithms, it is now possible to verify state transition systems with astronomical numbers of states.
Edmund M. Clarke received a B.A. degree in mathematics from the University of Virginia in 1967, a M.A. degree in mathematics from Duke University in 1968, and a Ph.D. degree in computer science from Cornell in 1976. He taught at Duke University from 1976-1978 and at Harvard University from 1978-1982. Since 1982 he has been on the faculty in the Computer Science Department at Carnegie-Mellon University. In 1995 he became the first recipient of the FORE Systems Professorship, an endowed chair in the School of Computer Science. He was named a University Professor in 2008.
Dr. Clarke’s interests include software and hardware verification and automatic theorem proving. In 1981 he and a graduate student, Allen Emerson, first proposed the use of Model Checking as a verification technique for finite state concurrent systems. His research group pioneered the use of Model Checking for hardware and software verification. In particular, his research group developed Symbolic Model Checking using BDDs, Bounded Model Checking using fast CNF satisfiability solvers, and pioneered the use of CounterExample-Guided-Abstraction-Refinement (CEGAR). In addition, Clarke and his students developed the first parallel general resolution theorem prover (Parthenon), and the first theorem prover to be based on a symbolic computation system (Analytica).
Dr. Clarke is one of the founders of the conference on Computer Aided Verification (CAV) and served on its steering committee for many years. He is the former editor-in-chief of Formal Methods in Systems Design. He served on the editorial boards of Distributed Computing, Logic and Computation, and IEEE Transactions in Software Engineering. In 1995 he received a Technical Excellence Award from the Semiconductor Research Corporation. He was a co-recipient of the ACM Kanellakis Award in 1998. In 1999 he received an Allen Newell Award for Excellence in Research from the Carnegie Mellon Computer Science Department. In 2004 he received the IEEE Harry H. Goode Memorial Award. He was elected to the National Academy of Engineering in 2005 for contributions to the formal verification of hardware and software correctness. He was a co-recipient of the 2007 ACM Turing Award for his role in developing Model Checking into a highly effective verification technology, widely adopted in the hardware and software industries. He received the 2008 CADE Herbrand Award for Distinguished Contributions to Automated Reasoning and a 2010 LICS Test-of-Time Award. In 2011 he was elected to the American Academy of Arts and Sciences. He received an Honorary Doctorate from the Vienna University of Technology in 2012. Dr. Clarke is a Fellow of the ACM and the IEEE, and a member of Sigma Xi and Phi Beta Kappa.
João Paulo Marques da Silva
Lecture Room EA1, IST Alameda
Research data repositories and tools for human genomics data sharing
Inform the human research community of the status and availability of BioData.pt Local EGA and discuss its need and usability challenges.
The European Genome-phenome Archive (EGA) is a repository for all sequence and genotype experiment types, including case-control, population, and family studies. The EGA will serve as a permanent archive that will archive several levels of data, including the raw data (which could, for example, be re-analysed in the future by other algorithms) as well as the genotype calls provided by the submitters.
Responding to national regulations over human data sharing and other constraints, BioData.pt deploys and operates a Local EGA instance and tools that allow data discovery of genomic and phenoclinic data, following the GA4GH standard and international best practices.
This workshop aims at informing the human research community of the status and availability of BioData.pt Local EGA and discuss from several perspectives its need and usability challenges.
Further details and registration are available here.
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.