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ML4PM 2021 - Second International Workshop on Leveraging Machine Learning in Process Mining
by Paolo Ceravolo 10 May '21

10 May '21

3rd International Conference on Process Mining, October 31-November 4, 2021, Eindhoven, the Netherlands # ML4PM 2021 ## SECOND INTERNATIONAL WORKSHOP ON LEVERAGING MACHINE LEARNING IN PROCESS MINING ### October 31-November 4, 2021, Eindhoven, the Netherlands [http://ml4pm2021.di.unimi.it](http://ml4pm2021.di.unimi.it) ### AN ACTIVITY FROM THE [IEEE TASK FORCE ON PROCESS MINING](https://www.win.tue.nl/ieeetfpm/doku.php?id=start) ## About ML4PM The interest in combining Machine Learning and 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 Eindhoven, 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. ### 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 Contributions to all calls should be submitted electronically to the Workshop management system connecting to [https://easychair.org/my/conference?conf=icpm2021](https://easychair.org/my…. At least one author of each accepted paper is expected to participate in the conference and present his/her work. Submissions must be original contributions that have not been published previously. Authors are requested to prepare submissions according to the format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer [href="http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0](http://www.sp…. Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should contain a short abstract, clarifying the relation of the paper with the workshop topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to the literature. > > **Registrations** are managed by the [ICPM system](https://icpmconference.org/2021/registration/) > ### Important Dates | Milestone | Deadline| | ------ | ------ | | Abstract Submission| August 19, 2021| | Paper Submission| August 26, 2021| | Notification of Acceptance| September 16, 2021| | Submission of Camera Ready Papers| September 30, 2021| | Workshop| November 1, 2021| |Post-workshop Camera-Ready Papers| November 16, 2021| ## 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 Matthias Ehrendorfer, University of Vienna Sarajane Marques Peres, University of São Paulo Luís Paulo Faina Garcia, University of Brasilia Michelangelo Ceci, University of Bari Aldo Moro Gabriel Marques Tavares, Università degli Studi di Milano Domenico Potena , Università Politechnica delle Marche Antonella Guzzo, Università della Calabria Natalia Sidorova, Eindhoven University of Technology Irene Teinemaa, Booking.com Wil van der Aalst, RWTH Aachen University María Teresa Gómez, University of Seville Mariangela Lazoi, University of Salento Emerson Cabrera Paraiso, Pontifícia Universidade Católica do Paraná Bruno Bogaz Zarpelão, State University of Londrina Chiara Di Francescomarino, Fondazione Bruno Kessler Fabrizio Maria Maggi, Free University of Bozen-Bolzano

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Call for Papers Special Issue on Machine Learning for Complex Systems Modelling and Control [Mathematical Biosciences and Engineering, AIMS]
by Alessio Martino 07 May '21

07 May '21

Dear Colleagues, I am contacting you in my capacity as Guest Editor for a Special Issue titled: "Machine Learning for Complex Systems Modelling and Control" to appear in “Mathematical Biosciences and Engineering” journal (AIMS Press): http://www.aimspress.com/mbe/article/5971/special-articles <http://www.aimspress.com/mbe/article/5971/special-articles> I hereby invite you and your co-authors to submit an original research paper, or a focused review, for our special issue. Deadline for manuscript submissions is 31 October 2021. Submitted papers will be peer reviewed and, upon acceptance, the paper will be published in open access form soon after professional editing. Thank you in advance for your consideration and I sincerely hope that you will accept this invitation to contribute to this Special Issue. If you believe that you will be able to submit a manuscript, I would also greatly appreciate if you could respond to this invitation at your earliest convenience. “Mathematical Biosciences and Engineering” (ISSN 1551-0018) is an EI, Scopus, WoS, PubMed indexed, interdisciplinary open access journal focuses on new developments in the fast-growing fields of mathematical biosciences and bioengineering. Areas covered include general mathematics, biology, and engineering with an emphasis on cutting-edge integrative and interdisciplinary research bridging mathematics, biology and engineering. Best Regards ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy <https://www.google.com/maps/place/Via+S.+Martino+della+Battaglia,+44,+00185…> Phone: (+39)0644362370-5 E-mail: alessio.martino(a)istc.cnr.it <mailto:alessio.martino@istc.cnr.it> Web: www.istc.cnr.it/en <http://www.istc.cnr.it/en>

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[CFP] International Workshop on Mining and Learning in the Legal Domain (MLLD 2021)
by Zarrinkalam, Fattane (TR Technology) 06 May '21

06 May '21

The International Workshop on Mining and Learning in the Legal Domain (MLLD 2021)<https://sites.google.com/view/mlld2021/home> will be co-located with ICDM-2021<https://icdm2021.auckland.ac.nz/> to be held on December 7-10, 2021, in Auckland, New Zealand. Call For Papers Introduction The increasing accessibility of large legal corpora and databases create opportunities to develop data driven techniques as well as more advanced tools that can facilitate multiple tasks of researchers and practitioners in the legal domain. While recent advancements in the areas of data mining and machine learning have gained many applications in domains such as biomedical, healthcare and finance, there is still a noticeable gap in how much the state-of-the-art techniques are being incorporated in the legal domain. Achieving this goal entails building a multi-disciplinary community that can benefit from the competencies of both law and computer science experts. The goal of this workshop is to bring the researchers and practitioners of both disciplines together and provide an opportunity to share the latest novel research findings and innovative approaches in employing data analytics and machine learning in the legal domain. Topics Following the success of the 1st MLLD workshop (MLLD 2020)<https://sites.google.com/view/mlld2020/home>, the 2nd workshop on Mining and Learning in the Legal Domain (MLLD 2021) discusses a broad variety of topics in various aspects of analyzing legal data such as Legislations, litigations, court cases, contracts, patents, Non-Disclosure Agreements (NDAs) and Bylaws. We encourage submissions on novel mining and learning based solutions in: * Applications of data mining techniques in the legal domain * case outcome prediction * classifying, clustering and identifying anomalies in big corpora of legal records * legal analytics * citation analysis for case law * eDiscovery * Applications of natural language processing and machine learning techniques for legal textual data * information extraction and entity extraction/resolution for legal document reviews * information retrieval and question answering in applications such as identifying relevant case law * summarization of legal documents * legal language modelling and legal document embedding and representation * recommender systems for legal applications * topic modelling in large amounts of legal documents * harnessing of deep learning approaches * Ethical issues in mining legal data * privacy and GDPR in legal analytics * bias in the applications of data mining * transparency in legal data mining * Training data for legal domain * digital lawyers and legal machines * smart contracts * future of law practice in the age of AI * Emerging topics in the intersection of data mining and law * acquisition, representation, indexing, storage, and management of legal data * automatic annotation and learning with human in the loop * data augmentation techniques for legal data * semi-supervised learning, domain adaptation, distant supervision and transfer learning Submissions You are invited to submit your original research and application papers to the workshop. As per ICDM instructions, papers are limited to a maximum of 8 pages, and must follow the IEEE ICDM format requirements. All accepted workshop papers will be published in the formal proceedings by the IEEE Computer Society Press. Each paper is reviewed by at least 3 reviewers from the program committee. Paper review is triple-blind. Manuscripts are to be submitted through CyberChair<https://www.wi-lab.com/cyberchair/2021/icdm21/>. More information about the workshop is available here<https://sites.google.com/view/mlld2021/home>. Important Dates * Paper submission due date: September 3, 2021 * Notification of acceptance: September 24, 2021 * Camera ready submission: October 1, 2021 * MLLD -2021 Workshop: December 7, 2021 Organizing Committee Masoud Makrehchi<mailto:masoud.makrehchi@uoit.ca>, OntarioTech University and Thomson Reuters Labs Shohreh Shaghaghian<mailto:shohreh.shaghaghian@thomsonreuters.com>, Thomson Reuters Labs Ali Vahdat<mailto:ali.vahdat@thomsonreuters.com>, Thomson Reuters Labs Fattane Zarrinkalam<mailto:fattane.zarrinkalam@thomsonreuters.com>, Thomson Reuters Labs This e-mail is for the sole use of the intended recipient and contains information that may be privileged and/or confidential. If you are not an intended recipient, please notify the sender by return e-mail and delete this e-mail and any attachments. Certain required legal entity disclosures can be accessed on our website: https://www.thomsonreuters.com/en/resources/disclosures.html

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CFP: Resilience@Euro-Par 2021 - Papers due May 14 (extended)
by Thomas Naughton 06 May '21

06 May '21

14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> in conjunction with the 27th International European Conference on Parallel and Distributed Computing (Euro-Par), Lisbon, Portugal August 30 - September 3, 2021 <http://2021.euro-par.org> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2021 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> - Resilience 2021 Submissions: <https://easychair.org/conferences/?conf=europar2021> (Select "WS06" Track) - Euro-Par 2021 website: <http://2021.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: May 14, 2021 (23:59 AoE) [Extended] - Workshop author notification: June 30, 2021 - Workshop author registration: TBD - Workshop paper (for informal workshop proceedings, due in EasyChair): July 14, 2021 - Workshop date: August 30 or 31, 2021 - Workshop camera-ready papers: September 10, 2021 General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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CFP - 37th International Conference on Logic Programming (extended deadlines)
by Miguel Areias 04 May '21

04 May '21

========================================================================= FINAL CALL FOR PAPERS The 37th International Conference on Logic Programming (ICLP 2021) Fully virtual event hosted by the Department of Computer Science of the University of Porto ========================================================================= New: Extended deadlines (regular papers) ** Abstract registration: May 12, 2021 ** Paper submission: May 18, 2021 New: Invited speakers ** William W. Cohen, Google AI ** John Hooker, CMU ** Phokion Kolaitis, UC Santa Cruz and IBM Almaden ** Stuart Russell, UC Berkeley ** Jeffrey Ullman, Stanford University ========================================================================= Contributions are sought in all areas of logic programming, including but not restricted to: ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. ** Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Compilation, Virtual machines, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. ** Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cybersecurity, Robotics, Education. Tracks and Affiliated Events **************************** Besides the main track, ICLP 2021 will host additional tracks: ** Applications Track ** Recently Published Research Track and affiliated events: ** MentorLP - Mentoring Workshop on Logic Programming ** Fall School on Logic and Constraint Programming ** Doctoral Consortium ** Tutorials and co-located Workshops More details ************ https://iclp2021.dcc.fc.up.pt Any additional question can be directed towards ICLP Chairs: iclp2021(a)easychair.org =========================================================================

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PhD Position at CIAD / Technology University of Belfort-Montbaliard on "Contribution to cooperative perception and cooperative planning and control of robots in uncertain environment"
by Stéphane Galland 03 May '21

03 May '21

The CIAD laboratory is searching for a PhD candidate to work on cooperative control and planning, cooperative environmental perception,machine learning, multi-agent systems and robot behavior analysis. The PhD project is funded by the Technology University of Belfort- Montbeliard for 36 months.Starting period is September/October 2021. Application details are into the attached file or available on https://www.linkedin.com/feed/update/urn:li:activity:6794917064424341505/ 1) Introduction / background: Several applications in the field of robotics require interactions between robots toaccomplish their task. These interactions can be conflictual as in the case of space sharing,or collaborative as during handling operations. The movements of the robots in both casesmust be synchronized to perform their tasks safely. Due to the uncertain environment,especially in the presence of humans, these movements can experience delays, hence theneed to share the perception of the environment. There are two possible solutions tomeet this need. The first one consists of building a global dynamic representation mapshared and updated by all robots. This assumes that it must be managed centrally. In thesecond approach, which is decentralized, the robots communicate interfering elementswith each other. To do this, they must be able to classify the states of the environmentand jointly define the different sources of delay to synchronize accordingly. Two scientificbuilding blocks are identified in the proposed thesis subject.Cooperative planning and control: This involves studying interaction models and analyzing theproperties of control or trajectory planning. In addition to the properties of the solutions, themodel will be used to deduce the relevant information to be exchanged between the robots.Other control or planning techniques can be exploited. Through these analyzes, the student will beable to address the thorny issue of multi-agent reinforcement learning in the context ofcontinuous decision-making [1]. The aim here is to test the potentials of Deep ReinforcementLearning (DRL) in the context of the learning of several agents [2]. Also, other distributed controlstrategies can be deduced, explored and compared.Dynamic cooperative perception: This involves sharing the perception of a robot's environmentwith other robots and vice versa in a collaborative context [3]. The objective is to increase theperception of each of the robots in order to offer them broader perspectives to carry out theirindividual and collective tasks as well as possible [4]. In general, each robot, equipped with one ormore sensors (cameras, Lidars, etc.), must be able to locally perceive its surrounding space, thenintegrate all the information useful for the mission of each robot in its perception or knowledgemap [5]. The student will focus particularly on creating a dynamic representation of the perceptionof each robot by exploiting its own perception and those shared by other robots. The objectivehere is to understand the dynamic content of the environment by recognizing situations or eventsthat may cause difficulties to the robot itself, but also to other robots participating in the collectivemission. This representation requires a spatial and temporal registration, which can be complexdepending on the type of information shared.2) Planned works:The two scientific topics presented above will have to be treated and exploited jointly.Cooperative control and planning can benefit fromdynamic cooperative perception and vice versa.Indeed, the results of perception will be exploited to optimize the control of the robots, and inreturn, the perception process will exploit the robots control or planning to improve theirperception in terms of prediction for example. From a practical point of view, the sharing andupdating of the perception map of each robot can be done at the request of the robot concerned(to other robots) or can be detected automatically as part of a strategy defined by the missionitself and made known to all robots participating in the mission.For experiment and testing, the student will benefit from an application in a concrete case ofcollaboration between several real robots and a computing platform. The data will be generatedthrough real and augmented tests. [1] Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, and Igor Mordatch. 2017. Multi-agentactor-critic for mixed cooperative-competitive environments. In Proceedings of the 31stInternational Conference on Neural Information Processing Systems (NIPS'17). Curran AssociatesInc., Red Hook, NY, USA, 6382–6393.[2] OROOJLOOYJADID, Afshin et HAJINEZHAD, Davood. A review of cooperative multi-agent deepreinforcement learning. arXiv preprint arXiv:1908.03963, 2019.[3] SCHMUCK, Patrik et CHLI, Margarita. CCM ‐ SLAM: Robust and efficient centralized collaborativemonocular simultaneous localization and mapping for robotic teams. Journal of Field Robotics,2019, vol. 36, no 4, p. 763-781.[4] QUERALTA, Jorge Pena, TAIPALMAA, Jussi, PULLINEN, Bilge Can, et al. Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision. IEEE Access,2020, vol. 8, p. 191617-191643.[5] YANG, Chule, WANG, Danwei, ZENG, Yijie, et al. Knowledge-based multimodal informationfusion for role recognition and situation assessment by using mobile robot. Information Fusion,2019, vol. 50, p. 126-138.-- Laboratoire Connaissance et Intelligence Artificielle Distribuées CIAD UMR 7533 Prof. Dr. Stéphane GALLAND Full Professor of Computer Science and Multiagent Systems Deputy Director of CIAD French Head of ARFITEC ARF-17-11 & ARF-19-11 "Energy, Transport, Industry, Challenges for tomorrow" Senior member of the Multiagent Group Member of AFIA Université de Technologie de Belfort-Montbéliard - UBFC 13, rue Ernest Thierry-Mieg 90010 Belfort Cedex, FRANCE CIAD Lab: www.ciad-lab.fr Web: www.ciad-lab.fr/author-10836 Phone: +33 384 583 418 (work office)

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Ada-Europe Int.Conf. Reliable Software Technologies, AEiC 2021
by Dirk.Craeynest＠cs.kuleuven.be 27 Apr '21

27 Apr '21

----------------------------------------------------------------------- Call for Participation *** PROGRAM SUMMARY *** 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021) 7-10 June 2021, Virtual Event www.ada-europe.org/conference2021 Organized by University of Cantabria and Ada-Europe in cooperation with ACM SIGAda, SIGPLAN, SIGBED and the Ada Resource Association (ARA) #AEiC2021 #AdaEurope #AdaProgramming ----------------------------------------------------------------------- *** General Information The 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021), initially scheduled to take place in Santander, Spain, will be held online from the 7th to the 10th of June 2021, using the underline.io conference platform. The conference program includes parallel tutorials on Monday 7th, and a technical program and vendor exhibition from Tuesday to Thursday. The conference also includes breaks and virtual social events that will allow networking among the participants. *** Overview of the Week Monday 7th - Welcome Social Event - 5 Parallel Tutorials - Ice-Breaking Social Event Tuesday 8th - Ice-Breaking Social Event and Opening - Techn. Session 1: Scheduling and mixed-criticality systems - Keynote 1 - Techn. Session 2: Software modeling - Social Event Wednesday 9th - Welcome Social Event - Techn. Session 3: Autonomous systems - Work-in-Progress Session - Keynote 2 - Techn. Session 4: Ada issues and Ravenscar - Social Event Thursday 10th - Welcome Social Event - Techn. Session 5: Validation and verification tools - Techn. Session 6: Emerging applications with reliability requirements - Keynote 3 - Techn. Session 7: Safety challenges - Best Presentation Award, Closing Session and Party The program runs between 12:30 and 18:30 CEST, to allow participation from different time zones. For full details and up-to-date information, see the conference web page: http://www.ada-europe.org/conference2021 *** Keynote Talks In each of the three main conference days, a keynote will be delivered to address hot topics of relevance in the conference scope, with ample time for questions and answers. The keynotes will be: - Ángel Conde, Data Analytics and Artificial Intelligence team leader at IKERLAN (Spain), who will present his work on "Software reliability in the Big Data era with an industry-minded focus". - Alfons Crespo, who is with the Institute of Automation and Industrial Informatics of the Universitat Politècnica de València (Spain), will give an answer to the question "Why hypervisor-based approach is the best alternative for mixed-criticality systems". - Tucker Taft, who is Director of Language Research at AdaCore (USA), will talk on "A sampling of Ada 2022". *** Technical Sessions Given the current sanitary situation and the need to resort to a virtual format for the conference, we will all experience the advantages and benefits of exploring new formats. The technical sessions are designed with the flipped-conference concept, where the audience can access the pre-recorded presentation materials in advance and the live sessions are devoted to short presentations of the highlights of each contribution, allowing ample time for questions and answers with the presenter. The recorded materials will also be available for some time after their sessions. The technical sessions include papers submitted to the journal track that are heading towards final acceptance and open-access publication, together with industrial, invited and vendor presentations. *** Work-in-Progress Session The Work-in-Progress session contains contributions of evolving and early-stage ideas, or new research directions. They are presented in a special session consisting of a round of very short presentations of the highlights of each contribution, followed by a poster session in the same virtual space where the breaks are held. *** Exhibition From Tuesday to Thursday the conference platform will provide access to virtual booths where participants will be able to find information on the conference exhibitors and chat with them or request meetings. The virtual break lounge where the breaks and social events will take place will also have a space for meeting with the exhibitors. *** Tutorials Five four-hour parallel tutorials are offered on Monday 7th: - TU-1: Programming mobile robots with ROS2 and the RCLAda Ada client library, by Alejandro R. Mosteo - TU-2: Introduction to the development of safety critical software, by Jean-Pierre Rosen - TU-3: Parallel programming with Ada and OpenMP, by Sara Royuela, S. Tucker Taft, Luis Miguel Pinho - TU-4: Timing verification from UML & MARTE design models: techniques & tools, by Laurent Rioux, Julio Medina and Shuai Li - TU-5: Programming shared memory computers, by Jan Verschelde *** Social Program The virtual conference platform will offer a space under the gather.town environment to allow informal and lively gathering of the participants. This space may have different areas, such as rooms, tables, and corners where a participant can approach to talk though videoconferencing with participants in the same virtual area. This facility will be used for the breaks, poster session, exhibition and social events. Particular themes for some of the social events will be announced in the conference platform and in the web page. *** Further Information Participation for the full event, including tutorials, is free for Ada-Europe members and only 60 EUR for all others. Registration is required for all. The conference web page will shortly give full and up-to-date details on the program, the registration process and the virtual platform: http://www.ada-europe.org/conference2021 *** AEiC 2021 Sponsors - AdaCore: https://www.adacore.com/ - Ellidiss: https://www.ellidiss.com/ - PTC: http://www.ptc.com/developer-tools - Universidad de Cantabria: https://web.unican.es/en/ - Vector: https://www.vector.com/at/en/ The conference is supported and sponsored by - Ada-Europe: http://www.ada-europe.org/ and organized in cooperation with - ACM SIGAda: http://www.sigada.org/ - ACM SIGBED: https://sigbed.org/ - ACM SIGPLAN: http://www.sigplan.org/ - ARA: https://www.adaic.org/community/ ----------------------------------------------------------------------- Our apologies if you receive multiple copies of this announcement. Please circulate widely. Dirk Craeynest, AEiC 2021 Publicity Chair (aka Ada-Europe 2021) Dirk.Craeynest(a)cs.kuleuven.be

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CAS at ICCSA 2021: New Conference Dates and Deadlines
by Ana Cristina Silva Braga 27 Apr '21

27 Apr '21

Dear Colleague, ICCSA 2021 will be organized as a virtual conference with online-only participation (which includes online attendance and presentation in sessions, and the publication of papers in Springer LNCS or IEEE CPS conference proceedings) Optional in-presence participation may be organized, should the COVID-19 restrictions allow it. The Organizing Committee decided to move the dates of the conference to 13-16 September 2021 to benefit from the vaccine effect and to have a higher number of participants in person. Registration fees: * Virtual conference online-only participation: 150 Euro * Optional in-presence participation: regular 520 Euro, students 340 Euro, workshop chair 315 Euro ***************************************************************************** ********************** APOLOGIES FOR MULTIPLE COPIES RECEIVED ****************** ************************** CAS 2021 at ICCSA 2021 ******************************* ************************University of Cagliari, Cagliari, Italy ************************ *************************** NEW CONFERENCE DATES **************************** ***************************************************************************** Computational and Applied Statistics (CAS 202<https://cas2020.webnode.com/>1) Workshop of the 21th International Conference on Computational Science and Applications (ICCSA 2021, http://www.iccsa.org/) will be held 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 (NEW) ====================== May 10, 2021: Deadline for paper submission to the General Tracks (Workshops may select a different deadline) June 6, 2021: Notification of Acceptance. June 21, 2021: Submission deadline for the final version of the Proceeding Papers (firm deadline). June 28, 2021: Registration ends (firm deadline). September 13-16, 2021: ICCSA 2021 Conference PROCEEDINGS ============ The proceedings of the CAS 2021 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 2021 organizer)

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Distinguished Lecture by Prof. Milind Tambe: ‘AI for Social Impact: Results from deployments for public health and conservation’
by COMP HKBU 27 Apr '21

27 Apr '21

Dear Sir or Madam, You are cordially invited to attend the *HKBU Faculty of Science 60th Anniversary Distinguished Lecture by Prof. Milind Tambe*, which will be held on* Thursday, 13 May 2021 HKT (GMT+8) *via *Zoom Webinar*. Please register at http://bit.ly/d-reg on or before 12:00nn, 12 May 2021 (HKT). Details are as follows:- *Abstract* With the maturing of AI and multiagent systems research, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. I focus on the problems of public health and conservation, and address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. I will present results from work around the globe in using AI for HIV prevention, Maternal and Child care interventions, TB prevention and COVID modeling, as well as for wildlife conservation. Achieving social impact in these domains often requires methodological advances. To that end, I will highlight key research advances in multiagent reasoning and learning, in particular in, computational game theory, restless bandits and influence maximization in social networks. In pushing this research agenda, our ultimate goal is to facilitate local communities and non-profits to directly benefit from advances in AI tools and techniques. *Biography* Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Director "AI for Social Good" at Google Research India. He is a recipient of the IJCAI John McCarthy Award, ACM/SIGAI Autonomous Agents Research Award from AAMAS, AAAI Robert S Engelmore Memorial Lecture award, INFORMS Wagner prize, Rist Prize of the Military Operations Research Society, Columbus Fellowship Foundation Homeland security award, over 25 best papers or honorable mentions at conferences such as AAMAS, AAAI, IJCAI and meritorious commendations from agencies such as the US Coast Guard and the Los Angeles Airport. Prof. Tambe is a fellow of AAAI and ACM. For more details, please visit https://www.comp.hkbu.edu.hk/dlecture/ . If you have any questions, please feel free to contact comp(a)comp.hkbu.edu.hk . Thank you. Best regards, Department of Computer Science Hong Kong Baptist University

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Last call: Invitation to join 2021 Spring School 'CVML Short Course - Computer Vision for Autonomous Systems', 5-6th May 2021 (6th edition)
by Ioanna Koroni 27 Apr '21

27 Apr '21

Dear Computer Vision, Deep Learning and/or Autonomous systems engineers, scientists and enthusiasts, you are welcomed to register in this CVML Short e-course on 'Computer Vision for Autonomous Systems', 5-6th May 2021: <https://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-aut onomous-systems/> https://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auto nomous-systems/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation of 2D and 3D Computer Vision theory and applications in the above-mentioned diverse domains, primarily for semantic 3D world modeling and localization. Computer Vision starts with a detailed presentation of digital image/video fundamentals and image acquisition and camera geometry, including camera calibration. Then, two lectures on: a) Stereo and Multiview imaging and b) Structure from motion will provide the theoretical and algorithmic tools to recover 3D world models from images. They will be used on Localization and mapping that is of primary importance in Autonomous Systems and Robotic perception. This is complemented by Neural techniques for recovering depth information and 3D world modeling, even from monocular images. Deep semantic image segmentation will conclude this part, by providing DNN methods both to label and segment regions, e.g., roads and targets, e.g., cars, pedestrians. Part B lectures (8 hours) will start with an overview of Autonomous Systems Sensors. Then , it will provide an in-depth presentation of Computer Vision theory and applications in autonomous systems, particularly as related to target detection, tracking and object pose estimation. Applications will be presented for Multiple Drone Systems Autonomous Car Vision and Autonomous Marine Surface Vessels. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Computer Vision (first day, 8 lectures) 1. Digital images and videos 2. Image Acquisition. Camera Geometry 3. Stereo and Multiview Imaging 4. Structure from Motion 5. 3D Robot Localization and Mapping 6. Neural 3D world modeling 7. Image/Point cloud registration 8. Deep semantic image segmentation Part B: Autonomous Systems (second day, 8 lectures) 1. Autonomous Systems Sensors 2. Deep object detection 3. Object Tracking 4. Object Pose Estimation 5. Multiple Drone Systems 6. Autonomous Car Vision 7. Autonomous Surface Vessels 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on 'Machine Learning and Deep Neural Networks' 27-28th April 2021: <http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-dee p-neural-networks/> http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ You can use the following link for course registration: <http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auto nomous-systems/> http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-systems/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni < <mailto:koroniioanna@csd.auth.gr> koroniioanna(a)csd.auth.gr> The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: <https://aerial-core.eu/> https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: <https://multidrone.eu/> https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: <https://ai4media.eu/> https://ai4media.eu/ 5) AIIA Lab: <https://aiia.csd.auth.gr/> https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: <https://lists.auth.gr/sympa/info/cvml> https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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