computational.science

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[PSD 2020] PRIVACY IN STATISTICAL DATABASES, Springer LNCS, Arezzo, Italy, Sep. 23-25, 2020
by Joaquin Garcia-Alfaro 04 Mar '20

04 Mar '20

[apologies for cross-posting] PRIVACY IN STATISTICAL DATABASES 2020 (PSD 2020) ================================================ Arezzo, Italy, Sep. 23-25, 2020 http://unescoprivacychair.urv.cat/psd2020 Submission deadline: **MAY 24, 2020** 1. AIMS AND GOAL ----------------- Privacy in statistical databases is about finding trade-offs to the tension between the increasing societal and economical demand for accurate information and the legal and ethical obligation to protect the privacy of individuals and enterprises which are the respondents providing the statistical data. In the case of statistical databases, the motivation for respondent privacy is one of survival: statistical agencies or survey institutes cannot expect to collect accurate information from individual or corporate respondents unless these feel the privacy of their responses is guaranteed. Beyond respondent privacy, there are two additional privacy dimensions to be considered: privacy for the data owners (organizations owning or gathering the data, who would not like to share the data they have collected at great expense) and privacy for the users (those who submit queries to the database and would like their analyses to stay private). "Privacy in Statistical Databases 2020" (PSD 2020) is a conference sponsored and organized by the UNESCO Chair in Data Privacy (http://unescoprivacychair.urv.cat) with proceedings published by Springer-Verlag in Lecture Notes in Computer Science. The purpose of PSD 2020 is to attract world-wide, high-level research in statistical database privacy. PSD 2020 is a successor to - PSD 2018 (Valencia, Sep. 26-28, 2018, https://unescoprivacychair.urv.cat/psd2018/), - PSD 2016 (Dubrovnik, Sep. 14-16, 2016, https://unescoprivacychair.urv.cat/psd2016/), - PSD 2014 (Eivissa, Sep. 17-19, 2014, http://unescoprivacychair.urv.cat/psd2014/), - PSD 2012 (Palermo, Sep. 26-28, 2012, http://unescoprivacychair.urv.cat/psd2012), - PSD 2010 (Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010), - PSD 2008 (Istanbul, Sep. 24-26, 2008, http://unescoprivacychair.urv.cat/psd2008), - PSD 2006 (Rome, Dec. 13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004 (Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004), all with proceedings published by Springer in LNCS 11126, LNCS 9867, LNCS 8744, LNCS 7556, LNCS 6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those nine PSD conferences follow a tradition of high-quality technical conferences on SDC which started with "Statistical Data Protection-SDP'98", held in Lisbon in 1998 and with proceedings published by OPOCE, and continued with the AMRADS project SDC Workshop, held in Luxemburg in 2001 and with proceedings published in Springer LNCS 2316. Like the aforementioned preceding conferences, PSD 2020 originates in Europe, but wishes to stay a worldwide event in database privacy and SDC. Thus, contributions and attendees from overseas are welcome. 2. ORGANIZATION --------------- PROGRAM COMMITTEE (More members to be confirmed soon) - Jane Bambauer (University of Arizona, USA) - Bettina Berendt (Katholieke Universiteit Leuven, Belgium) - Elisa Bertino (CERIAS, Purdue University, USA) - Aleksandra Bujnowska (EUROSTAT, European Union) - Jordi Castro (Universitat PolitËcnica de Catalunya) - Anne-Sophie Charest (UniversitÈ Laval, QuÈbec, Canada) - Chris Clifton (Purdue University, USA) - Graham Cormode (University of Warwick, UK) - Peter-Paul de Wolf (Statistics Netherlands) - Josep Domingo (Universitat Rovira i Virgili, Catalonia) - Joerg Drechsler (IAB, Germany) - Khaled El Emam (University of Ottawa, Canada) - Mark Elliot (Manchester University, UK) - SÈbastien Gambs (UniversitÈ du QuÈbec ‡ MontrÈal) - Sarah Giessing (Destatis, Germany) - Hiroaki Kikuchi (Meiji University, Japan) - Bradley Malin (Vanderbilt University, USA) - Laura McKenna (Census Bureau, USA) - Anna Monreale (Universit‡ di Pisa, Italy) - Krish Muralidhar (The University of Oklahoma, USA) - Anna Oganyan (National Center for Health Statistics, USA) - David Rebollo (Universitat Rovira i Virgili, Catalonia) - Jerry Reiter (Duke University, USA) - Yosef Rinott (Hebrew University, Israel) - Steven Ruggles (University of Minnesota, USA) - Nicolas Ruiz (OECD, European Union) - Pierangela Samarati (University of Milan, Italy) - David S·nchez (Universitat Rovira i Virgili, Catalonia) - Eric Schulte-Nordholt (Statistics Netherlands) - Natalie Shlomo (University of Manchester, UK) - Aleksandra Slavkovic (Penn State University, USA) - Jordi Soria-Comas (Catalan Data Protection Authority, Catalonia) - Tamir Tassa (The Open University, Israel) - Vicenc Torra (National University of Ireland-Maynooth, Ireland) - Lars Vilhuber (Cornell University, USA) PROGRAM CHAIR - Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i Virgili, Catalonia) GENERAL CHAIR - Krishnamurty Muralidhar (The University of Oklahoma, USA) ORGANIZATION COMMITTEE - Joaquin Garcia-Alfaro (Telecom SudParis, France) - Giulia Lombardi (The University of Oklahoma, Italy) - Jesus Manjon (Universitat Rovira i Virgili, Catalonia) - Romina Russo (Universitat Rovira i Virgili, Catalonia) 3. TOPICS OF INTEREST --------------------- Topics of interest include but are not limited to: - New anonymization methods for tabular data - New anonymization methods for microdata (including non-conventional microdata types such as trajectories, graphs, etc.) - Best anonymization practices for tabular data - Best anonymization practices for microdata - Co-utility for privacy preservation - Big data anonymization - Streaming data anonymization - Decentralized anonymization - Balancing data quality and data confidentiality in SDC - Differential privacy and other privacy models - SDC transparency issues - Onsite access centers - Remote access facilities - SDC software - Estimating disclosure risk in SDC - Record linkage methods - Real-life disclosure scenarios in EU-member states and abroad - Privacy preserving data mining (both cryptographic and non-cryptographic) - Private information retrieval - Privacy in web-based e-commerce - Privacy in healthcare - Privacy in official and corporate statistics - Other data anonymization issues 4. SUBMISSIONS -------------- Full papers containing either original technical contributions or high-quality surveys on the above topics or on related topics are sought. Camera-ready versions of accepted papers should be prepared using the LaTeX2estyle or the Word template of Springer Verlag Lecture Notes in ComputerScience. For LaTeX2e, a macro package llncs.zip and an example file typeinst.zip can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…. For Microsoft Word, a template word.zip can be downloaded from the same page above. We encourage authors to use the above formats already for their submissions. LENGTH OF SUBMISSIONS. Using the above format with 11 point font, the paper should be at most 12 pages excluding bibliography and appendices, and at most 16 pages total. Committee members are not required to read appendices; the paper should be intelligible without them. Submissions not meeting these guidelines risk rejection without consideration of their merits. 5. PROCEEDINGS -------------- Among PSD 2020 accepted papers, a selection will be made based on quality and coverage and the selected papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. This follows the tradition of the previous PSD conferences. The remaining accepted papers will be published in a USB with an ISBN. It is possible to submit a paper directly for the USB, which benefits from a later submission deadline (see USB-only dates below). The form of publication of an accepted paper will be clearly specified in the acceptance message. Both the LNCS volume and the CD will be *available at the conference*. 6. IMPORTANT DATES ------------------ Submission deadline: **MAY 24, 2020** Acceptance notification: June 26, 2020 Proceedings version due: July 5, 2020 USB-only submission deadline: July 5, 2020 USB-only acceptance notification: July 15, 2020 USB-only proceedings version due: July 22, 2020 Conference: Sep. 23-25, 2020 7. VENUE AND TRAVEL ------------------- The conference will take place at the San Francesco classroom annex of the 'Oklahoma University in Arezzo' facilities, located in the city of Arezzo. OU in Arezzo. San Francesco Classroom annex Piazza San Francesco, 18 Arezzo, Italy 52100 http://www.ou.edu/cis/education_abroad/programs/ou-in-arezzo Further venue, travel and accommodation information will be posted in due course at http://unescoprivacychair.urv.cat/psd2020 A number of travel grants are made available by the UNESCO Chair in Data Privacy, especially for authors and delegates from transition countries. Information on grants is posted in the conference web site. 8. REGISTRATION --------------- Registration information will be posted no later than June 2020 at http://unescoprivacychair.urv.cat/psd2020

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CfP VHPC'20: HPC Containers-Kubernetes
by Michael Alexander 02 Mar '20

02 Mar '20

==================================================================== CALL FOR PAPERS 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC 20) held in conjunction with the International Supercomputing Conference - High Performance, June 21-25, 2020, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 25, 2020 Workshop URL: https://vhpc.org Rolling Abstract Registration (extended) Paper Submission Deadline: Apr 05th, 2020 Springer LNCS Call for Papers Containers and virtualization technologies constitute key enabling factors for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex infrastructures in a seamless fashion to support the highly dynamic and heterogeneous workloads and hosted applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing. Most recently, Function as a Service (Faas) and Serverless computing, utilizing lightweight VMs-containers widens the spectrum of applications that can be deployed in a cloud environment, especially in an HPC context. Here, HPC-provided services become accessible to distributed workloads outside of large cluster environments. Various virtualization-containerization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple underutilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization (i.e., containerization), with its capability to isolate multiple user-space environments and to allow for their coexistence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; lastly, unikernels provide for many virtualization benefits with a minimized OS/library surface. I/O Virtualization in turn allows physical network interfaces to take traffic from multiple VMs or containers; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology is furthermore enabling virtualization of HPC infrastructures. Publication Accepted papers will be published in a Springer LNCS proceedings volume. Topics of Interest The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC, containers-virtualization and the cloud. Major Topics: - HPC workload orchestration (Kubernetes) - Kubernetes HPC batch - HPC Container Environments Landscape - HW Heterogeneity - Container ecosystem (Docker alternatives) - Networking - Lightweight Virtualization - Unikernels / LibOS - State-of-the-art processor virtualization (RISC-V, EPI) - Containerizing HPC Stacks/Apps/Codes: Climate model containers each major topic encompassing design/architecture, management, performance management, modeling and configuration/tooling. Specifically, we invite papers that deal with the following topics: - HPC orchestration (Kubernetes) - Virtualizing Kubernetes for HPC - Deployment paradigms - Multitenancy - Serverless - Declerative data center integration - Network provisioning - Storage - OCI i.a. images - Isolation/security - HW Accelerators, including GPUs, FPGAs, AI, and others - State-of-practice/art, including transition to cloud - Frameworks, system software - Programming models, runtime systems, and APIs to facilitate cloud adoption - Edge use-cases - Application adaptation, success stories - Kubernetes Batch - Scheduling, job management - Execution paradigm - workflow - Data management - Deployment paradigm - Multi-cluster/scalability - Performance improvement - Workflow / execution paradigm - Podman: end-to-end Docker alternative container environment & use-cases - Creating, Running containers as non-root (rootless) - Running rootless containers with MPI - Container live migration - Running containers in restricted environments without setuid - Networking - Software defined networks and network virtualization - New virtualization NICs/Nitro alike ASICs for the data center? - Kubernetes SDN policy (Calico i.a.) - Kubernetes network provisioning (Flannel i.a.) - Lightweight Virtualization - Micro VMMs (Rust-VMM, Firecracker, solo5) - Xen - Nitro hypervisor (KVM) - RVirt - Cloud Hypervisor - Unikernels / LibOS - Performance, efficiency, utilization, security - Build procedure, application porting, re-use of existing components, and tooling - Monitoring, running, orchestrating, live cycle management - Deployment and operational costs - Architecture and platform ports, for instance - hypervisors, lightweight VMMs, bare-metal - Hardware virtualization and accelerators with Unikernels/LibOSes - Use cases and experiences, for instance: - edge services (e.g., vNFs, AI, IoT) - microservices - Stub and driver domains (disaggregation) - bare-metal (e.g., HPC) - HPC Storage in Virtualization - HPC container storage - Cloud-native storage - Hypervisors in storage virtualization - Processor Virtualization - RISC-V hypervisor extensions - RISC-V Hypervisor ports - EPI - Composable HPC microservices - Containerizing Scientific Codes - Building - Deploying - Securing - Storage - Monitoring - Use case for containerizing HPC codes: Climate model containers for portability, reproducibility, traceability, immutability, provenance, data & software preservation The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, plus lightning talks that are limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. Important Dates Apr 5th, 2020 - Paper submission deadline (Springer LNCS) Apr 26th, 2020 - Acceptance notification June 25th, 2020 - Workshop Day July 10th, 2020 - Camera-ready version due Chair Michael Alexander (chair), BOKU, Vienna, Austria Anastassios Nanos (co-chair), Sunlight.io, UK Program committee Stergios Anastasiadis, University of Ioannina, Greece Paolo Bonzini, Redhat, Italy Jakob Blomer, CERN, Europe Eduardo César, Universidad Autonoma de Barcelona, Spain Taylor Childers, Argonne National Laboratory, USA Stephen Crago, USC ISI, USA Tommaso Cucinotta, St. Anna School of Advanced Studies, Italy François Diakhaté CEA DAM Ile de France, France Kyle Hale, Northwestern University, USA Brian Kocoloski, Washington University, USA Simon Kuenzer, NEC Laboratories Europe, Germany John Lange, University of Pittsburgh, USA Giuseppe Lettieri, University of Pisa, Italy Klaus Ma, Huawei Technologies, China Alberto Madonna, Swiss National Supercomputing Center, Switzerland Nikos Parlavantzas, IRISA, France Anup Patel, Western Digital, USA Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, Western New England University, USA Carlos Reaño, Queen’s University Belfast, UK Adrian Reber, Redhat, Germany Riccardo Rocha, CERN, Europe Borja Sotomayor, University of Chicago, USA Jonathan Sparks, Cray, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden John Walters, USC ISI, USA Yasuhiro Watashiba, Osaka University, Japan Chao-Tung Yang, Tunghai University, Taiwan Paper Submission-Publication Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, keywords, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 point. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in a Springer LNCS volume. The format must be according to the Springer LNCS Style. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Abstract, Paper Submission Link: edas[dot]info/newPaper.php?c=26973 Lightning Talks Lightning Talks are non-paper track, synoptical in nature and are strictly limited to 5 minutes. They can be used to gain early feedback on ongoing research, for demonstrations, to present research results, early research ideas, perspectives and positions of interest to the community. Submit abstract via the main submission link. General Information The workshop is one day in length and will be held in conjunction with the International Supercomputing Conference - High Performance (ISC) 2019, June 21-25, Frankfurt, Germany.

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IEEE ISORC 2020 Call for Posters and Demos
by Tommaso Cucinotta 28 Feb '20

28 Feb '20

*IEEE ISORC 2020 - Call for Posters and Demos <https://isorc.github.io/2020/>*/The 23rd IEEE International Symposium on Real-Time Distributed Computing/ Nashville, Tennessee, USA, May 19-21, 2020 *https://isorc.github.io/2020/* IEEE ISORC has become established as the leading event devoted to state-of-the-art research in the field of object/component/service-oriented real-time distributed computing (ORC) technology. ISORC has a special session dedicated to posters and demos, where the objective is to allow participants to show prototypes, tools, simulators, and systems, which demonstrate the applicability of real-time computing to different applications. This session will enable presenters to demonstrate their work and contact directly with potential users of their technology, fostering new collaborations and promoting the adoption of new frameworks. We specially encourage the submission of results from finished or ongoing projects, demos of their use-cases and products. *Topics* * Software architectures for real-time distributing computing: programming paradigms, ORC paradigms, object/component models, languages, synchronous languages. * Distributed computing and communication infrastructures: real-time communications, networked platforms, protocols, Internet QoS, peer-to-peer computing, sensor networks, VANETS and V2V and V2I communications, time-predictable systems and hardware, trusted and dependable systems, complex systems of systems, model maintenance. * Algorithms for real-time analytics: real-time stream processing solutions including clustering, classification, mining and inferencing, machine and deep learning, statistical modeling, stream correlation and sampling. * System software: real-time kernels, operating systems, virtualization/container mechanisms and distribution middleware for ORC, supporting QoS management and performance, decentralized processing and scalability, extensibility, synchronization, resource allocation, scheduling, energy efficiency, timing analysis, fault tolerance and resilience, security. * Applications: medical devices, intelligent transportation systems, industrial automation systems and Industry 4.0, Internet of Things and Smart Grids, embedded and cyber-physical systems (automotive, avionics, autonomous vehicles, consumer electronics, building systems, sensors, etc), multimedia processing, RT Web-based Applications, QoS-Aware and real-time Cloud/Edge/Fog Computing, real-time packet processing for future networking infrastructures and Network Function Virtualization (NFV), time-sensitive social dispersed computing. * System evaluation: monitoring mechanisms & infrastructures, performance & timing evaluation, dependability, end-to-end QoS, system/infrastructure overheads, fault detection and recovery time, large-scale evaluations and field studies. * Submission guidelines* Authors should submit a 2-pages extended abstract describing the poster and an optional demonstration, in the IEEE Conference Proceedings format. The IEEE conference paper templates can be found here: https://www.ieee.org/conferences_events/conferences/publishing/templates.ht… <ISORC has become established as the leading event devoted to state-of-the-art research in the field of object/component/service-oriented real-time distributed computing (ORC) technology.> The program committee will review the abstracts and decide on the adequacy of the demo/poster to the conference audience. Reviews are single-blinded. Accepted abstracts will appear in the conference proceedings, and highly-rated posters invited to submit a full paper to a special issue of Elsevier Journal of Systems Architecture (JSA) <https://www.journals.elsevier.com/journal-of-systems-architecture>. The session will consist of two parts: (i) a short presentation session where each participant can present slides on their demo/poster, followed by (ii) a demonstration and poster session where participants can display their work and discuss it with the attendees. Extended abstracts are to be submitted through HoTCRP at https://isorc20-ip.mpi-sws.org. All accepted poster/demo papers should be accompanied by a regular non-student registration. One of the authors of the poster/demo must attend and present their work at the conference. *Important dates* Submission deadline: March 24, 2020 Acceptance notification: April 1, 2020 Camera-ready papers: April 6, 2020 Conference: May 19 - 21, 2020 *Program committee chairs* Frank Mueller, North Carolina State University, USA, muelle(a)ncsu.edu Yogesh Simmhan, Indian Institute of Science (IISc), Bengaluru, India, simmhan(a)iisc.ac.in Tommaso Cucinotta, Scuola Superiore Sant'Anna, Pisa, Italy, tommaso.cucinotta(a)santannapisa.it -- Tommaso Cucinotta, Computer Engineering PhD Associate Professor at the Real-Time Systems Laboratory (ReTiS) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/people/tommaso

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CfPapers: European Dependable Computing Conference - EDCC 2020
by Alexander Romanovsky 28 Feb '20

28 Feb '20

The 16th European Dependable Computing Conference - EDCC 2020 September 7-10, 2020, Munich, Germany Call for Papers The European Dependable Computing Conference is a leading venue for presenting and discussing the latest research, industrial practice and innovations in dependable and secure computing. The European Dependable Computing Conference is a unique forum for researchers and practitioners to present and discuss their latest research results on theory, techniques, systems, and tools for the design, validation, operation and evaluation of dependable and secure computing systems. The conference will cover a broad range of topics related to dependability and security, which includes, but is not limited to: * Hardware and software architectures of dependable systems; * Model-driven and formal engineering approaches; * Fault-tolerant networks & ultra-reliable low-latency communication; * Dependability modelling and tools; * Verification and validation methods; * Development of safety and security-critical systems; * Dependability and security of o critical infrastructures, e.g. smart energy grids, intelligent transportation systems, smart cities; o cyber-physical systems and (industrial) IoT; o cloud, fog, and edge computing systems; o data analytics applications & systems based on machine learning and artificial intelligence; o databases and distributed ledgers (incl. block chains); o artificial intelligence-based systems and components * Data protection and data privacy The conference is inviting submissions to its different tracks in the following categories: -Regular papers (up to 8 pages) solicited on theory, techniques, systems, and tools for the design, validation, operation and evaluation of dependable and secure computing systems, covering any fault model, from traditional hardware and software faults to accidental and malicious human interactions. -Practical experience reports (up to 6 pages) dedicated to dependability in practice: industrial applications, experience in introducing dependability in industry, use of new or mature dependability approaches to new challenging problems or domains, etc. -Short papers (3-4 pages) describing preliminary research work (position papers) or a prototype/tool description, outlining the design or implementation of a software tool, or the prototyping of an operational system. The papers submitted to the conference should present an original contribution and formatted according to IEEE style: https://www.ieee.org/conferences/publishing/templates.html. All submissions must be made electronically through the EasyChair submission web page, and should clearly indicate in which category the paper is being submitted. Detailed indications about the paper format are provided in the paper submission page: http://edcc.dependability.org/papersubmission.html Best Paper Award Submissions will be judged on originality, significance, correctness and impact. Three distinguished papers will be selected among accepted papers and presented in a dedicated session of the conference program. Full research papers and practical experience reports are eligible for the distinction. Important Dates: Abstract Submission: March 17, 2020 Full Paper Submission: March 24, 2020 Author Notification: May 25, 2020 Camera-ready Paper: June 22, 2020 General chairs: Michael Paulitsch, Intel Mario Trapp, Fraunhofer Program Committee chair: Elena Troubitsyna, KTH Sweden Publicity chair: Alexander Romanovsky, Newcastle University Publication chair: Miguel Pardal, Universidade de Lisboa Students Forum chair: Marcello Cinque, Frederico II University of Naples For more information, visit: http://edcc.dependability.org/

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SDM/IBM EARLY CAREER DATA MINING RESEARCHER AWARD
by Alfredo Cuzzocrea 28 Feb '20

28 Feb '20

SDM/IBM EARLY CAREER DATA MINING RESEARCHER AWARD About the Award: The SDM/IBM Early Career Data Mining Researcher Award for Excellence in Data Analytics seeks to recognize one individual (no runner up/ honorable mention) who has made outstanding, influential, and lasting contributions in the field of data analysis and who will be within 10 years of having received their PhD degree as of the calendar year prior to the year of the award. For example, an award winner in 2020 should have received their PhD no earlier than 2009. Nominations: A candidate may be nominated by any member of the community except members of the Award Selection Committee. An individual may nominate at most one candidate for this award. Nominations must be submitted to the Award Selection Committee Co-Chairs by email at cdomenic(a)gmu.edu and nchawla(a)nd.edu with "SDM/IBM Research Award" as the subject. A nomination application (a single PDF file) should contain the following: 1-Name/email of nominator (self-nominations are not permitted). 2-Name/email of candidate being nominated. 3-A statement by the nominator (maximum of 500 words) as to why the ?nominee is highly deserving of the award. Note that since the award ?is for outstanding contributions, the statement and supporting letters should address what the contributions are and why they are both outstanding and significant. The nomination should also list the names and email addresses of up to 3 persons who will provide letters supporting the nomination. 4-CV of the nominee (the CV must clearly indicate date of degree received) 5-Up to three support letters. The letters should be collected by the nominator and included in the nomination. The letter writers may not be the nominator nor Award Selection Committee members. Important Dates: .Nomination Deadline: March 30, 2020 .Results Notification: April 15, 2020 Award Selection Committee: Nitesh Chawla, University of Notre Dame (Co-Chair) Carlotta Domeniconi, George Mason University (Co-Chair) Arindam Banerjee, University of Minnesota Dimitrios Gunopulos, University of Athens, Greece Zoran Obradovic, Temple University (Steering Committee Representative) Jimeng Sun, University of Illinois Urbana-Champaign Note that members of the selection committee cannot be nominators or provide support letters. Also note that the intent is to select exactly one awardee - re-nominations for subsequent years are permissible as long as the individuals continue to maintain eligibility. The committee at its discretion may elect not to make an award in a particular year.

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Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: March 31
by Ludovico Montalcini 24 Feb '20

24 Feb '20

ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An Interdisciplinary Course: Big Data, Deep Learning & Artificial Intelligence without Borders ACDL 2020 – A Unique Experience: Data Science, Machine Learning & Artificial Intelligence with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 13-17, 2020 https://acdl2020.icas.xyz acdl(a)icas.xyz The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ ACDL 2018 & ACDL 2019 Sold-out! Probably also ACDL 2020 ;-) Early registration deadline: March 31, 2020 https://acdl2020.icas.xyz/registration/ CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2020.icas.xyz/registration/ Early registration deadline: March 31, 2020 Deadlines: Oral/Poster Presentation Submission: March 31, 2020. Notification of Decision for Oral/Poster Presentation: by April 12, 2020. Early Registration: Until March 31, 2020. Late Registration: After March 31, 2020. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Michael Bronstein, Twitter & Imperial College London, UK * Marco Gori, University of Siena, Italy * Victor Lempitsky, Samsung AI Center, Moscow Skolkovo Institute of Science and Technology, Russia * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Risto Miikkulainen, University of Texas at Austin, USA * Panos Pardalos, University of Florida, USA * Daniela Rus, Computer Science and Artificial Intelligence Laboratory, MIT, USA * Mihaela van der Schaar, University of Cambridge, UK More speakers coming soon! Tutorial Speakers * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Adam Paszke, University of Warsaw, Poland 4-hour tutorial on "PyTorch: A Modern Library for Machine Learning" More tutorial speakers coming soon! SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. 8 ECTS POINTS: Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. A formal certificate of successful participation in the event will be delivered indicating the number of hours of lectures. VENUE & ACCOMMODATION: The venue of ACDL 2020 will be The Certosa di Pontignano — Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info(a)lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ We remind you that ACDL 2018 and ACDL 2019 sold out a long time before the registration deadline! Anyone interested in participating in ACDL 2020 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2020 Organizing Committee. acdl(a)icas.xyz https://acdl2020.icas.xyz https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested *

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Advanced Transport Tools and Methods at ICCSA 2020 (Scopus and ISI index) - 3rd call
by Massimiliano Petri 18 Feb '20

18 Feb '20

Dear Colleague, This is an invitation to submit a contribution for the: Advanced Transport Tools and Methods (A2TM 2020) Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020, http://www.iccsa.org/) will be held on July 1 - 4, 2020 in Cagliari, Italy. TOPICS ====== The aim of A2TM workshop is to bring together scientists working on mobility. Topics of interest include (but are not limited to): Smart Urban Mobility, New ITS, Big Data in Transport, Innovation in Freight Transport and Logistic, Connected/Autonomous Vehicles, Innovation for Sustainable Mobility, Innovaton in Transport Modeling and Analysis IMPORTANT DATES ================ March 15, 2020: Deadline for abstract and paper submission to the A2TM Workshop. April 15, 2020: Notification of Acceptance. May 8, 2020: Early-bird Registration ends. May 8, 2020: Submission deadline for the final version of the Proceeding Papers. July 1-4, 2020: ICCSA 2020 Conference. PROCEEDINGS ============ The proceedings of the A2TM 2020 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZERS =========== * Massimiliano Petri (m.petri(a)ing.unipi.it) * Antonio Pratelli (a.pratelli(a)ing.unipi.it) Dep. of Industrial and Civil Engineering (University of Pisa), Italy. If you have some doubts or problems, do not hesitate to contact organizers. Best regards, Massimiliano Petri Antonio Pratelli (A2TM 2020 organizers) ---------------------------------------------------- Eng.Massimiliano Petri

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Computational and Applied Statistics at ICCSA 2020 (Scopus and ISI index) - extended deadline
by Ana Cristina Silva Braga 16 Feb '20

16 Feb '20

Dear Colleague, Due to a considerable number of requests, the deadline for paper submission, to the 7th edition of the Computational and Applied Statistics (CAS2020) (https://cas2020.webnode.com/) workshop has been extended to March, 15th. *********************************************************************** ****************** APOLOGIES FOR MULTIPLE COPIES RECEIVED *************** *********************************************************************** ********************* CAS 2020 CALL FOR PAPERS ************************** ********************* NEW deadline: March 15th, 2020 ******************** Computational and Applied Statistics (CAS 2020<https://cas2020.webnode.com/>) Workshop of the 20th International Conference on Computational Science and Applications (ICCSA 2020, http://www.iccsa.org/) will be held on July 1 - 4, 2020 in Cagliari, Italy. TOPICS ====== The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences. Topics of interest include (but are not limited to): * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. IMPORTANT DATES ================ March 15, 2020: Deadline for abstract and paper submission to the CAS Workshop. April 15, 2020: Notification of Acceptance. May 8, 2020: Early-bird Registration ends. May 8, 2020: Submission deadline for the final version of the Proceeding Papers. July 1-4, 2020: ICCSA 2020 Conference. PROCEEDINGS ============ The proceedings of the CAS 2020 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZER =========== * Ana Cristina Braga (acb(a)dps.uminho.pt<mailto:acb@dps.uminho.pt>), Dep. of Production and Systems (University of Minho), Algoritmi Research Centre (University of Minho), Portugal. If you have some doubts or problems, do not hesitate to contact the organizer. Best regards, Ana Cristina Braga (CAS 2020 organizer)

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[Journal] [Special Issue] CFP: Image and Vision Computing
by Pourya Shamsolmoali 16 Feb '20

16 Feb '20

Image and Vision Computing CALL FOR PAPERS Special Issue on Advances in Domain Adaptation for Computer Vision Aim and Scope: In daily routines, humans, not only learn and apply knowledge for visual tasks but also have intrinsic abilities to transfer knowledge between related vision tasks. For example, if a new vision task is relevant to any previous learning, it is possible to transfer the learned knowledge for handling the new vision task. In developing new computer vision algorithms, it is desired to utilize these capabilities to make the algorithms adaptable. Generally, traditional computer vision methods do not adapt to a new task and have to learn the new task from the beginning. These methods do not consider that the two visual tasks may be related and the knowledge gained in one may be applied to learn the other one efficiently in lesser time. Domain adaptation for computer vision is the area of research, which attempts to mimic this human behavior by transferring the knowledge learned in one or more source domains and use it for learning the related visual processing task in the target domain. Recent advances in domain adaptation, particularly in cotraining, transfer learning, and online learning have benefited computer vision research significantly. For example, learning from high-resolution source domain images and transferring the knowledge to learning low-resolution target domain information. This special issue will focus on the recent advances in domain adaptation for different computer vision tasks. Topics of interest include, but are not limited to: · Domain adaptation for machine learning frameworks for learning deep representations · Domain adaptation for face detection/recognition and tracking · Domain adaptation for object detection/ recognition and tracking · Domain adaptation and hybrid models for real-time computer vision tasks · Domain adaptation for human pose detection/recognition and estimation · Domain adaptation for event/action detection and recognition · Domain adaptation for few-shot learning · Domain adaptation for deep neural network optimization Important Dates: Paper submission due: May 31, 2020 First notification: July 31, 2020 Revision submission due: September 30, 2020 Final decision: November 30, 2020 Paper evaluation and submission: Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. All submitted papers will be evaluated on the basis of relevance, the significance of contribution, technical quality, and quality of presentation, by at least two independent reviewers (the papers will be reviewed following standard peer-review procedures of the Journal). Each paper will be reviewed rigorously and possibly in two rounds. Prospective authors should follow the formatting and Instructions of Image and Vision Computing at https://www.elsevier.com/journals/image-and-vision-computing/0262-8856/guid…, and invited to submit their papers directly via the online submission system at https://www.editorialmanager.com/IMAVIS/default.aspx. When submitting your manuscript please select the article type "VSI: Advances in Domain Adaptation for Computer Vision (ADACV)" Please submit your manuscript before the submission deadline. [ https://www.journals.elsevier.com/image-and-vision-computing/call-for-paper… | https://www.journals.elsevier.com/image-and-vision-computing/call-for-paper… ] Guest Editors: Dr. Pourya Shamsolmoali Institute of Image Processing & Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China. Email: [ mailto:pshams@sjtu.edu.cn | pshams(a)sjtu.edu.cn ] Prof. Salvador Garcaí Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain. Email: [ mailto:salvagl@decsai.ugr.es | salvagl(a)decsai.ugr.es ] Dr. Huiyu Zhou Department of Informatics, University of Leicester, Leicester, UK. Email: [ mailto:hz143@leicester.ac.uk | hz143(a)leicester.ac.uk ] Prof. M. Emre Celebi Department of Computer Science, University of Central Arkansas, Conway, Arkansas, USA. Email: [ mailto:ecelebi@uca.edu | ecelebi(a)uca.edu ]

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International Workshop on Leveraging Machine Learning in Process Mining (ML4PM)
by Gabriel Marques Tavares 12 Feb '20

12 Feb '20

FIRST INTERNATIONAL WORKSHOP ON LEVERAGING MACHINE LEARNING IN PROCESS MINING ML4PM 2020 - 5 OCTOBER, 2020 - PADUA, ITALY http://ml4pm2020.di.unimi.it ### AN ACTIVITY FROM THE IEEE TASK FORCE ON PROCESS MINING(https://www.win.tue.nl/ieeetfpm/doku.php?id=start) ON THE INTERNATIONAL CONFERENCE ON PROCESS MINING (https://icpmconference.org/2020/) ## About ML4PM The interest in Machine Learning applications in Process Mining has seen increasing growth in the last few years along with the relevance of the ICPM conference. Thus, this workshop offers a focused environment to discuss new approaches, applications and their results to a wide audience, composed of researchers and practitioners. ML4PM will be held in Padua, in conjunction with the ICPM conference. ### Call for Papers This workshop invites papers that present works that lay in the intersection between machine learning and process mining. The event provides a suitable environment to discuss new approaches presented by researchers and practitioners. Main themes include automated process modeling, predictive process mining, application of deep learning techniques and online process mining. The workshop will count with leading researchers, engineers and scientists who are actively working on these topics. Full papers must be written in English, not exceed 12 pages and must be an original contribution, not previously published or under review. Workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). ### Topics Topics of interest for submission include, but are not limited to: * Outcome and time prediction * Classification and clusterization of business processes * Application of Deep Learning for PM * Stream mining for online process environments * Anomaly detection for PM * Natural Language Processing and Text Mining for PM * Multi-perspective analysis of processes * Machine Learning for robot process automation * Automated process modeling and updating * Conformance checking based on Machine Learning * Transfer Learning applied to business processes * IoT business services leveraged by Machine Learning * Multidimensional Process Mining * Predictive Process Mining * Prescriptive Learning in Process Mining * Convergence of Machine Learning and Blockchain in Process Mining ### Submission Guidelines Submissions must use the Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…). Submissions must be in English and cannot exceed 12 pages (including tables, figures, the bibliography and appendices). Each paper should clarify the relation of the paper to the workshop’s main topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Accepted papers will be presented during one of the workshop’s sessions and one author of each accepted paper must register and participate in the workshop. ### Important Dates | Milestone | Deadline| | ------ | ------ | | Abstract Submission| August 18 2020| | Paper Submission| August 25 2020| | Notification of Acceptance| September 14 2020| | Submission of Camera Ready Papers| September 22 2020| | Workshop| October 5 2020| ## Organizers ### CHAIRS * Paolo Ceravolo, Università degli Studi di Milano, Italy (https://orcid.org/0000-0002-4519-0173) * Sylvio Barbon Jr., State University of Londrina, Brazil (https://orcid.org/0000-0002-4988-0702) * Annalisa Appice, Università degli Studi di Bari, Italy (https://orcid.org/0000-0001-9840-844X) ### Program Committee María Teresa Gómez, University of Seville Rafael Accorsi, PwC Digital Services Niek Tax, Booking.com Josep Carmona, Universitat Politècnica de Catalunya Ernesto Damiani, Khalifa University of Science Technology Chiara Di Francescomarino, Fondazione Bruno Kessler Antonella Guzzo, Università della Calabria Mariangela Lazoi, University of Salento Matthias Ehrendorfer, University of Vienna Fabrizio Maria Maggi, University of Tartu Paola Mello, Università di Bologna Gabriel Marques Tavares, Università degli Studi di Milano Emerson Cabrera Paraiso, Pontifícia Universidade Católica do Paraná Bruno Bogaz Zarpelão, State University of Londrina Irene Teinemaa, Booking.com Michelangelo Ceci, University of Bari Aldo Moro Natalia Sidorova, Eindhoven University of Technology

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