computational.science

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CFP: FiCloud 2021 - Deadline Extended
by FiCloud Conference 11 Mar '21

11 Mar '21

---------------------Call for Papers - Deadline Extended ------------------------------ The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2021) IEEE-CS TCI 23-25 August 2021, Rome, Italy http://www.ficloud.org/2021/ ------------------------------------------------------------ Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning. The Internet of Things (IoT) provides a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: 1. Cloud Services Models 2. Security, Privacy and Trust 3. Software Systems, Models and Architectures 4. Blockchain in Cloud and IoT 5. Data and Knowledge Management 6. Context-aware Systems 7. Software-defined Networking 8. Performance Evaluation and Modelling 9. Networking and Communication Protocols 10. IoT Services and Applications 11. Smart Environment 12. Machine learning in Cloud and IoT 13. Energy Efficiency 14. Federation and Virtualization 15. Fog and Edge Computing 16. Industry Track 17. General Track – Future IoT and Cloud Computing Important Dates: Submission Deadline: 31 March 2021 Authors Notification: 20 May 2021 Final Manuscript Due: 15 June 2021 Conference Venue: The organizing committee is carefully monitoring the Covid-19 situation. The safety and well-being of the conference participants is the main priority. The committee will confirm by Spring 2021 of whether to hold the conference onsite in Rome or as an online event. Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2020/). All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website).

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[Bench'21 Call for Papers] - 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing
by gaowanling＠ict.ac.cn 11 Mar '21

11 Mar '21

[Apologies if you receive multiple copies of this CFP] CALL FOR PAPERS ========================================================== 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'21) http://www.benchcouncil.org/bench21/index.html Nov. 14th - Nov. 16th, 2021 ========================================================== Introduction ---------------- Benchmarks, Data, Standards, Measurements, and Optimizations are fundamental human activities and assets. The Bench conference has two essential duties: promote data or benchmark-based quantitative approaches to tackle multidisciplinary and interdisciplinary challenges; connect architecture, system, data management, algorithm, and application communities to better co-design for the inherent workload characterizations. The Bench conference has three defining characteristics. First, it provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmarks, data, standards, measurements, and optimizations community as a whole. Second, it is a multidisciplinary and interdisciplinary conference. The past meetings attracted researchers and practitioners from the architecture, system, algorithm, and application communities. Third, it includes both invited sessions and contributed sessions. There are three submission opportunities, and the reviewing process is double-blind. Upon acceptance, papers will be scheduled for publication in the BenchCouncil Transactions on Benchmarks, Standards, and Evaluation (TBench https://www.benchcouncil.org/journal.html ) and presentation at the Bench'21 conference. Regularly, the Bench conference will present the BenchCouncil Achievement Award ($3000), the BenchCouncil Rising Star Award ($1000), and the BenchCouncil Best Paper Award ($1000). To encourage reliable and reproducible research using the benchmarks from all organizations, the Bench conference presents the BenchCouncil Award for Excellence for Reproducible Research to the papers using publicly available benchmarks. Each article receives a $100 prize, maximally up to 12 articles. We welcome the industry leaders as sponsors to provide the testbed and the honorariums for the above awards. Call for papers ------------------------ We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following. **Benchmark and standard specifications, implementations, and validations of: -Big Data -Artificial intelligence (AI) -High performance computing (HPC) -Machine learning -Big scientific data -Datacenters -Cloud -Warehouse-scale computing -Mobile robotics -Edge and fog computing -Internet of Things(IoT) -Block chain -Data management and storage -Financial domains -Education domains -Medical domains -Other application domains **Data: -Detailed descriptions of research or industry data sets, including the methods used to collect the data and technical analyses supporting the quality of the measurements. -Analyses or meta-analyses of existing data and original articles on systems, technologies and techniques that advance data sharing and reuse to support reproducible research. -Evaluations of the rigour and quality of the experiments used to generate data and the completeness of the descriptions of the data. -Tools generating large-scale data while preserving their original characteristics. **Workload characterization, quantitative measurement, design and evaluation studies of: -Computer and communication networks, protocols and algorithms -Wireless, mobile, ad-hoc and sensor networks, IoT applications -Computer architectures, hardware accelerators, multi-core processors, memory systems and storage networks -HPC -Operating systems, file systems and databases -Virtualization, data centers, distributed and cloud computing, fog and edge computing -Mobile and personal computing systems -Energy-efficient computing systems -Real-time and fault-tolerant systems -Security and privacy of computing and networked systems -Software systems and services, and enterprise applications -Social networks, multimedia systems, web services -Cyber-physical systems, including the smart grid **Methodologies, abstractions, metrics, algorithms and tools for: -Analytical modeling techniques and model validation -Workload characterization and benchmarking -Performance, scalability, power and reliability analysis -Sustainability analysis and power management -System measurement, performance monitoring and forecasting -Anomaly detection, problem diagnosis and troubleshooting -Capacity planning, resource allocation, run time management and scheduling -Experimental design, statistical analysis and simulation **Measurement and evaluation: -Evaluation methodologies and metrics -Testbed methodologies and systems -Instrumentation, sampling, tracing and profiling of large-scale, real-world applications and systems -Collection and analysis of measurement data that yield new insights -Measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks) -Methods and tools to monitor and visualize measurement and evaluation data -Systems and algorithms that build on measurement-based findings -Advances in data collection, analysis and storage (e.g., anonymization, querying, sharing) -Reappraisal of previous empirical measurements and measurement-based conclusions -Descriptions of challenges and future directions that the measurement and evaluation community should pursue **Optimization methodologies and Tools. Important Dates ------------------------ There are three submission opportunities over the year. Spring submission website: https://bench2021.hotcrp.com/ -Abstract registration: May 15, 2021 -Paper submission: May 21, 2021 -First-round author notification: June 21, 2021 -Rebuttal and Revision Period: June 21-July 21, 2021 -Second-round author notification: August 10 Summer submission website: TBD -Abstract registration: August 1, 2021 -Paper submission: August 7, 2021 -First-round author notification: September 7, 2021 -Rebuttal and Revision Period: September 7-October 7, 2021 -Second-round author notification: November 7, 2021 Winter submission website: TBD -Abstract registration: December 15, 2021 -Paper submission: December 21, 2021 -First-round author notification: January 21, 2022 -Rebuttal and Revision Period: January 21-February 21, 2022 -Second-round author notification: March 21, 2022 Paper Submission ------------------------ There are three submission opportunities, and the reviewing process is double-blind. Upon acceptance, papers will be scheduled for publication in the BenchCouncil Transactions on Benchmarks, Standards, and Evaluation (TBench) and presentation at the Bench'21 conference. All accepted and eligible papers will be considered, by a panel of reviewers, for the BenchCouncil Best Paper Award and the BenchCouncil Award for Excellence for Reproducible Research. Papers must be submitted in PDF. For a full paper, the page limit is 12 double column pages in TBench format (All research article page limits do not include references and author biographies). For a short paper, the page limit is 8 double column pages in TBench format, not including references and author biographies. The submissions will be judged based on the merit of the ideas rather than the length. At least one author must pre-register for the symposium, and at least one author must attend the symposium to present the paper. Papers for which no author is pre-registered will be removed from the proceedings. Submission site: https://bench2021.hotcrp.com/ TBench Latex template: http://mirrors.ctan.org/macros/latex/contrib/els-cas-templates.zip Awards --------------------- * BenchCouncil Achievement Award ($3,000) - This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for the status of a BenchCouncil Fellow. * BenchCouncil Rising Star Award ($1,000) - This award recognizes a junior member who demonstrates outstanding potential for research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Best Paper Award ($1,000) - This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Award for Excellence for Reproduceable Research (Each winning paper earns a $100 prize, maximally up to 12 papers). - BenchCouncil incubates and hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To this end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. The Reviewing Process ----------------- The reviewing process for submissions is a hybrid of the traditional conference and journal models. There are three possible outcomes from the first round of submission: -Accept with Shepherding: a PC member will shepherd every accepted paper to ensure that the reviewers' essential suggestions are incorporated into the article's final version. This is similar to the “Minor Revision” outcome at a journal. -One-shot Revision: This is similar to the “Major Revision” outcome in a journal. In such cases, the authors will receive a list of issues that must be addressed before the paper can be accepted. Authors may then submit a revision of the paper during the rebuttal period. The revision should include an author's response to the reviewers' issues as part of the appendix of the article. If this paper's revision is not submitted within this time, then any resubmission will be treated as a new paper. The outcome after resubmission of a “one-shot revision” will either be “Accept with Shepherding” or “Reject.” The one-shot revision may be rejected, for example, if the reviewers find that the issues they raised were not satisfactorily addressed in the revision. -Reject: If the paper is rejected, it may not be resubmitted to any Bench deadline within 12 months following the paper's initial submission. Organization ----------------- Bench Steering Committees Prof. Dr. Jack Dongarra, University of Tennessee Prof. Dr. Geoffrey Fox, Indiana University Prof. Dr. D. K. Panda, The Ohio State University Prof. Dr. Felix, Wolf, TU Darmstadt Prof. Dr. Xiaoyi Lu, University of California, Merced Dr. Wanling Gao, ICT, Chinese Academy of Sciences & UCAS Prof. Dr. Jianfeng Zhan, ICT, Chinese Academy of Sciences &BenchCouncil

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CFP: Special Track on AI for Tackling Dis/Misinformation during Pandemics @ ACM GoodIT2021
by Chilean Scholar 10 Mar '21

10 Mar '21

Call For Papers: Special Track on AI for Tackling Dis/Misinformation during Pandemics In conjunction with the ACM International Conference on Information Technology for Social Good (GoodIT 2021) The GoodIT conference is sponsored by ACM SIGCAS, the Association for Computing Machinery's Special Interest Group on Computers & Society. The conference focuses on the application of IT technologies to social good. The Special Track on AI for Tackling Dis/Misinformation during Pandemics focuses on new data technologies based on artificial intelligence, data governance, machine learning, natural language processing, and social network analysis to aid experts in analyzing large volumes of social media data in order to detect fake news, misinformation, and disinformation. A number of open challenges need more investigation from the research community, such as recent trends in composing information disorder by combining false and real content, the mechanisms that drive fake content diffusion during pandemics, how to differentiate fake content from personal viewpoints, why people tend to believe fake content and make decisions based on it during pandemics, and what are the different motivations behind the dissemination of fake content. Fact-checking and claim verification are two important strategies that are worth incorporating in the automated tackling and curtailment of fake content during and after pandemics. ************ Key Dates ************ Papers Submission Due: May 1, 2021 Authors Notifications: June 22, 2021 Final Manuscript Due: July 10, 2021 GoodIT 2021: September 09-11, 2021 ************ Important Links ************ Special Track Website: https://aitdmp.conceptechint.net Submission Link: https://goodit2021.hotcrp.com/ ************ Submission Guidelines ************ All submissions will be reviewed using a single-blind review process. The identity of referees will not be revealed to authors, but authors can keep their names on the submitted papers, on figures, bibliography, etc. Papers should not exceed 6 pages (US letter size) double column including figures, tables, and references in standard ACM format. Papers must be submitted electronically in printable PDF form. Templates for the standard ACM format can be found here: https://www.acm.org/publications/proceedings-template No changes to margins, spacing, or font sizes are allowed from those specified by the style files. Papers violating the formatting guidelines will be returned without review. ACM has partnered with Overleaf, a free cloud-based, collaborative authoring tool, to provide an ACM LaTeX authoring template. The ACM LaTeX template on Overleaf platform is available to all ACM authors at: www.overleaf.com/gallery/tagged/acm-official Accepted papers will be included in the ACM Digital Library. Special issues associated with the conference are being organized. ************ Topics ************ Papers on practical as well as on theoretical topics and problems in various topics related to rumors, fake news, misinformation, and disinformation during and after pandemics, are invited, with special emphasis on novel techniques and tools for automated tackling and curtailment of fake content during and after pandemics. Topics include (but are not limited to): -AI approaches for the detection of online influence and manipulation -AI approaches to identify misinformation and disinformation campaigns -AI approaches for spotting misinformation and disinformation spreaders. -Social media mining for automated detection of misinformation propagation and disinformation circulation -AI approaches for automated identification and verification of claims -AI approaches for intention detection for misinformation and disinformation contents -AI approaches for credibility assessment of Social media sources -AI approaches for fake news curtailment, filtering and prevention. -AI approaches for analysis/detection of distributed and multi-platform misinformation and disinformation disseminations -AI approaches for predicting the Impact of misinformation and disinformation during pandemics -New datasets and evaluation methodologies to aid in automated detection and analysis of misinformation and disinformation content in social media channels **********The Conference Sponsored by********** Association for Computing Machinery's Special Interest Group on Computers & Society http://www.sigcas.org/

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[LAST CFP] 2nd International workshop on Deep Learning meets Ontologies and Natural Language Processing @ESWC-2021
by Sarra Ben Abbès 10 Mar '21

10 Mar '21

Dear colleagues and researchers, Please consider submitting a paper for the 2nd International workshop "*Deep Learning meets Ontologies and Natural Language Processing*" which will be held online or in Hersonissos, Greece - June 6th 2021. ** *DeepOntoNLP* - Call for Papers *** Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) https://sites.google.com/view/deepontonlp-eswc2021 in conjunction with ESWC 2021 <https://2021.eswc-conferences.org/> online or in Hersonissos, Greece **Important dates** - Workshop paper submission due: *March 1st, 2021** March 14th, 2021* - Workshop paper notifications: March 31st, 2021 - Workshop paper camera-ready versions due: April 9th, 2021 - Workshop: June 6th, 2021 (Half-Day) All deadlines are 23:59 anywhere on earth (UTC-12). **Workshop description** In recent years, deep learning is applied successfully and achieved state-of-the-art performance in a variety of domains, such as image analysis. Despite this success, deep learning models remain hard to analyse data and understand what knowledge is represented in them, and how they generate decisions. Deep Learning (DL) meets Natural Language Processing (NLP) to solve human language problems for further applications, such as information extraction, machine translation, search and summarization. Previous works has attested the positive impact of domain knowledge on data analysis and vice versa, for example pre-processing data, searching data, redundancy and inconsistency data, knowledge engineering, domain concepts and relationships extraction, etc. Ontology is a structured knowledge representation that facilitates data access (data sharing and reuse) and assists the DL process as well. DL meets recently ontologies and tries to model data representations with many layers of non-linear transformations. The combination of DL, ontologies and NLP might be beneficial for different tasks: · Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration, · Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations), · Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc. · NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc. **Objective** This workshop aims at demonstrating recent and future advances in semantic rich deep learning by using Semantic Web and NLP techniques which can reduce the semantic gap between the data, applications, machine learning process, in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in natural language processing, structured knowledge and deep learning approaches. We invite the submission of original works that is related -- but are not limited to -- the topics below. **Topics of interests** · Construction ontology embeddings · Ontology-based text classification · Learning ontology embeddings · Semantic role labelling · Ontology reasoning with Deep Neural Networks · Deep learning for ontological semantic annotations · Spatial and temporal ontology embeddings · Ontology alignment and matching based on deep learning models · Ontology learning from text using deep learning models · Unsupervised Learning · Text classification using deep models · Neural machine translation · Deep question answering · Deep text summarization · Deep speech recognition · and so on. **Submission** The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions must be PDF documents written in English and formatted according to LNCS instructions for authors <https://www.google.com/url?q=https%3A%2F%2Fwww.springer.com%2Ffr%2Fcomputer…>. Papers are to be submitted through the Easychair Conference Management System <https://easychair.org/conferences/?conf=deepontonlp2021>. We welcome the following types of contributions: - Full research papers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics - Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper, there, and to the conference. For further instructions please refer to the ESWC 2021 <https://www.google.com/url?q=https%3A%2F%2F2021.eswc-conferences.org%2F&sa=…> page. **Publication** The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021. **Workshop chairs** *Sarra BEN ABBES*, Engie, France *Rim HANTACH*, Engie, France *Philippe CALVEZ*, Engie, France **Program Committee** Nada Mimouni, CNAM, France Lynda Temal, Engie, France Davide Buscaldi, LIPN, Université Sorbonne Paris Nord, France Valentina Janev, Mihajlo Pupin Institute, Serbia Mohamed Hedi Karray, LGP-INP-ENIT, Université de Toulouse, France Efstratios Kontopoulos, Catalink Ltd, Cyprus Wei Hu, Nanjing University, China Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico Linda Elmhadhbi, Université de Toulouse, France Amir Laadhar, Aalborg University, Denmark Yannis Haralambous, IMT Atlantique, France

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Call for Applications: NSF-REU in Smart Computing and Communications at UMBC [Summer 2021]
by Sreenivasan 10 Mar '21

10 Mar '21

REU SITE— Smart Computing and Communications <https://sreeni-ram-19-dot-yamm-track.appspot.com/Redirect?ukey=1_X3DQYtrU74…> University of Maryland Baltimore County invites applications from STEM Discipline UG Students for NSF Funded Research Experience for Undergraduates (NSF REU): Summer 2021 Application Information: https://mpsc.umbc.edu/nsf-reu-scc <https://sreeni-ram-19-dot-yamm-track.appspot.com/Redirect?ukey=1_X3DQYtrU74…> REU Site Research Focus Area: Smart Computing and Communications REU Site DATES: June 7th to August 13th 2021 APPLICATION DEADLINE – March 31th 2021 Program Overview • Funded by National Science Foundation (NSF) • 10 Week paid on-site research program - $600/week Stipend • Exposure to World Class research faculty and facilities Eligibility Requirements • The field of smart computing and communications thrives on the diversity of thought and experiences. We welcome applications from students from all backgrounds, ethnicities, and genders. • Undergraduate students majoring in science or engineering. • U.S. Citizen or permanent resident. • Minorities and women are strongly encouraged to apply. • Selections will be based on a combination of research interests, academic qualifications, and faculty recommendations. Sample Research projects from the Site’s broad topical areas include: • FloodBot in Smart City, Led by Nirmalya Roy, Ph. D. • Interactive Control and Communications with Smart Home Technologies, Led by Nirmalya Roy, Ph. D. • A Situation-Aware Access Control Framework for Contact Tracing, Led by Zhiyuan Chen, Ph. D. • Multimodal Deep Learning for Medical Data Representations, Led by Sanjay Purushotham, Ph. D. • Investigating Physiological Synchrony from Dyadic Interactions During In-Situ Simulation Training, Led by Andrea Kleinsmith, Ph. D. • Compressive Deep Federated IoT for Privacy Preserving Activity Recognition, Led by Nirmalya Roy, Ph. D. • Chatbox for Cryptocurrency, Led by Ting Zhu, Ph. D. Additional Information about the program can be found by visiting -- https://mpsc.umbc.edu/nsf-reu-scc <https://sreeni-ram-19-dot-yamm-track.appspot.com/Redirect?ukey=1_X3DQYtrU74…> On behalf of UMBC-REU-2021 Team: Nirmalya Roy (PI) Dmitri Perkins (Co-PI) [image: beacon]

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Live e-Lecture by Prof. Andreas Geiger: 'Towards Robust End-to-End Driving', 23rd March 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 10 Mar '21

10 Mar '21

Dear AI scientist/engineer/student/enthusiast, Prof. Andreas Geiger (University of Tübingen, Germany), a prominent AI researcher internationally, will deliver the e-lecture: ‘Towards Robust End-to-End Driving’, on Tuesday 23rd March 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/92425987539 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, ELISE <https://www.elise-ai.eu/> , Humane AI Net <https://www.humane-ai.eu/> , <https://www.vision4ai.eu/> Vision, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Anibal Ollero (University of Seville, Spain), 4th May 2021 17:00 – 18:00 CET. 2. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 – 18:00 CET. More lecture infos in: <http://www.i-aida.org/future-lectures/> http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list <https://lists.auth.gr/sympa/info/aida> and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, N. Cesa-Bianchi, F. Heintz, B. O’Sullivan, I. Pitas -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Call for Paper - Workshop A2TM-Advanced Transport Tools and Methods (ICCSA 2021)
by Massimiliano Petri 09 Mar '21

09 Mar '21

Dear colleague, This is an invitation to submit a contribution for theAdvanced Transport Tools and Methods (A2TM 2021) Workshop of the 21th International Conference on Computational Science andApplications (ICCSA 2021,<http://www.iccsa.org/> <http://www.iccsa.org/>http://www.iccsa.org/ <http://www.iccsa.org/>)will be held on July 5 - 8, 2021 in collaboration with the University ofCagliari, Italy, in blended form. Like last year, ICCSA 2021 offers the possibility of online-onlyparticipation (with reduces registration fees). But we are also planning to offer the possibility of in-presence participation, should the pandemicsituation allow it, by setting up a blended experience for mixed online/in-presence sessions. TOPICS ====== The scope of the Workshop is to bring together scientists working inTransport and Logistic and their applications in science and engineering. Topics of interest include (but are not limited to): * Transport Simulations and Analysis, Smart Urban Mobility, Logistic Supply Chain Optimization and Analysis, Passenger and/or Freight Transport and its modeling, Mobility Big Data Analysis, Transport Environmental Impacts, Artificial Intelligence applied to Mobility, ICT/ITS in Transport and, in general, Innovation in Transport Field * Applications: case studies in all areas of mobility sciences, transport engineering including also transport economics. IMPORTANT DATES ================ March 28, 2021: Deadline for abstract and paper submission to the A2TMWorkshop April 18, 2021: Notification of Acceptance. May 10, 2021: Submission deadline for the final version of the Proceeding Papers May 10, 2021: Early-bird Registration ends. July 5-8, 2021: ICCSA 2021 Conference PROCEEDINGS ============ The proceedings of the A2TM 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 theLNCS 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> <http://www.springer.com/gp/computer-science/lncs> http://www.springer.com/gp/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/> <http://ess.iccsa.org/>http://ess.iccsa.org/ <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> <http://www.iccsa.org/instructions-for-authors> http://www.iccsa.org/instructions-for-authors <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 (<mailto:m.petri@ing.unipi.it> <mailto:arocha@dps.uminho.pt>, Dep. Civil and Industrial Engineering/Logistic Center of Livorno (University of Pisa *Antonio Pratelli( <mailto:antonio.pratelli@ing.unipi.it> <mailto:hrocha@fe.uc.pt>), Dep. Civil and Industrial Engineering/Logistic Center of Livorno (University of Pisa If you have some doubts or problems so not hesitate to contact the organizers. Best regards, Massimiliano PETRI and Antonio PRATELLI (A2TM 2021 organizers)

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Research Positions in AI/ML for Network Function Virtualization
by Tommaso Cucinotta 08 Mar '21

08 Mar '21

Dear all, I would be grateful if you could widespread at large the following call for applications, for 2 yearly (renewable) research opportunities at the RETIS of Scuola Superiore Sant'Anna in Pisa (Italy), fully funded by the Vodafone network operator, in the field of ML/AI techniques for anomaly detection, performance troubleshooting and capacity planning for Network Function Virtualization. Applications are due by March, 15th, through the formal procedure at: https://www.santannapisa.it/en/assegni-di-ricerca-e-selezioni/institute-com… Both candidates with a MSc degree and with a PhD can apply (see the formal call for details). More information about the project is available at: https://www.santannapisa.it/it/news/intelligenza-artificiale-e-telecomunica… You can also find the same call for applications on LinkedIn, Twitter and Facebook, where I'd be grateful if you could re-share and/or like the job ad: https://www.linkedin.com/posts/tommasocucinotta_institute-of-communication-… https://twitter.com/tomcucinotta/status/1364634940860755973 https://www.facebook.com/tommaso.cucinotta.9 Thanks and kind regards, Tommaso Cucinotta -- Tommaso Cucinotta, Associate Professor in Computer Engineering, PhD Head of the Real-Time Systems Laboratory (ReTiS) Institute of Information, Communication and Perceptual Technologies (TECIP) Scuola Superiore Sant'Anna, Pisa, Italy http://retis.sssup.it/people/tommaso

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14 Marie Sklodowska-Curie Early Stage Researchers/Ph.D. Students - ITN: CISC - Collaborative Intelligence for Safety Critical Tasks - Multiple locations
by fulvio.frati＠unimi.it 02 Mar '21

02 Mar '21

14 PhD positions are offered within CISC, Collaborative Intelligence for Safety Critical Tasks, a project funded by the European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 955901. Topic areas - Artificial Intelligence, machine learning and data analytics applied to production systems - Human Factors and Neuroergonomics - System safety engineering in automated systems - Legal and Ethical aspects for AI algorithms and human sensory data collection Ph.D. awarding institutions: TU Dublin, Università degli Studi di Milano (UMIL), Politecnico di Torino (POLITO), Fakultet Inzenjerskih Nauka Univerziteta U Kragujevcu (FINK). Locations of the positions: Ireland, Italy, Serbia, Spain, Belgium, Danemark, Austria, Nederlands Information about the individual positions https://euraxess.ec.europa.eu/worldwide/india/europe-14-phd-positions-availa ble-under-msca-itn-project-cisc-intelligence Application form: <https://forms.gle/nmXjc6ghaFqrYo3E7> https://forms.gle/nmXjc6ghaFqrYo3E7 The ESR positions open are: ESR 1 (TU Dublin): Model to predict Human Performance for collaborative intelligence applications. - ESR 2 (TU Dublin): Active Learning for Fault Assessment and Diagnosis. - ESR 3 (TU Dublin + HUGIN): Building of BBN from process safety data for decisions support and diagnostic of safety critical equipment status. - ESR 4 (POLITO): Process Safety Data modelling for human-in the loop configurations in process control. - ESR 5 (POLITO+SCCH): Reinforcement Learning approach as an on line learning method. - ESR 6. (FINK+MBRAINTRAIN): Utilizing data from physiology-recording wearables to asses cognitive load for near real time assessment. - ESR 7 (FINK): Architecture to acquire real-time physical ergonomic assessment in the workplaces of the future- ESR 8 (UMIL): Deep Learning for Human Performance Analysis and Prediction in Safety Critical Human Computer Interactions. - ESR 9. (POLITO+MATHEMA): Human Computer Interaction: innovative information support and cyber security challenges - ESR 10 (DIGITAL SME): Legal and Ethical implications for the collection and use of data from physiology-recording wearables & AI algorithms for future workplace - ESR 11 (POLITO+IVECO): Setting up a LIVE-LAB for Human-machine performance monitoring and prediction in automotive sector - ESR 12 (TU Dublin+IMR): Industrial engineering lab for Collaborative robotics. The setting of a modular testing and training environment. - ESR 13 (TU Dublin + PILZ): Innovative approach for Safety assessment models in of Human-robotics collaboration - ESR 14 (FINK+ADIENT): Development of advanced methodology for efficient job rotation performing human robotics collaborative tasks - The CISC training programme will develop Collaborative Intelligence Scientists with the expertise and skillset necessary to carry-out the major tasks required to develop a Collaborative Intelligence system: 1. Modelling the dynamics of system behaviours for the production processes, IoT systems, and critical infrastructures (System Safety Engineering); 2. Designing and implementing processes capable of monitoring interactions between automated systems and the humans destined to use them (Human Factors/Neuroergonomics); 3. Using data analytics and AI to create novel human-in-the-loop automation paradigms to support decision making and/or anticipate critical scenarios; and, 4. Managing the Legal and Ethical implications in the use of physiology-recording wearable sensors and human performance data in AI algorithms. For further information visit: https://www.ciscproject.eu/

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Full-time Professor Position in Information System Security at Telecom SudParis
by maryline Laurent 02 Mar '21

02 Mar '21

Many thanks for circulating to potential candidates --- TELECOM SudParis, a member of the "Institut Polytechnique de Paris", is hiring a full-time Professor (M/F) in the area of Cybersecurity. We are seeking a high-potential candidate with experience in conducting teaching and research activities in the field of Information System Security. Candidates must hold a PhD and an habilitation degree (or equivalence) in a related domain, with at least 8 years research and teaching experience. Industrial experience and international exposure are expected. We are seeking a talented professional carrying a research project related to information system security. The candidate will have to describe a research project demonstrating how his/her research in the field of information system security would strengthen or broaden the topics of the R3S (Network, System, Services and Security) team of the SAMOVAR lab (https://samovar.telecom-sudparis.eu <https://samovar.telecom-sudparis.eu/>). Identified interactions with the laboratories of the Institut Polytechnique de Paris (ip-paris.fr <http://ip-paris.fr/>) is encouraged. Research activities should cover information system security (cyber defense, malicious code detection, root code analysis, attack generation, attack and anomaly detection, forensics, decision making, countermeasure and risk reduction, alert correlation, security event management, tackling attacks), Machine Learning for cybersecurity (generation of data sets, security of systems based on AI, evolving ML adversaries), and/or technologies in verticals (critical systems, IoT, energy, transport, health, smart-*). He/she will participate in the development of the Cybersecurity virtualization platform (http://www.telecom-sudparis.eu/recherche/plateformes-recherche/ <http://www.telecom-sudparis.eu/recherche/plateformes-recherche/>), ensuring sustainability of the equipment. The candidate will be responsible for coordinating, teaching and organizing Master’s level courses in cybersecurity (M1/M2) – both for the engineering stream and DNMs of the Institut Polytechnique de Paris -, and courses in the Formation Ingénieur par Apprentissage (FIPA), and for continuing training. He/she will also participate in the team's efforts on the common core training of students (L3/M1 level). For further details about the position, please see the following page: https://institutminestelecom.recruitee.com/l/en/o/professeur-en-securite-de… <https://institutminestelecom.recruitee.com/l/en/o/professeur-en-securite-de…> Deadline for application: 31 March 2021 Contact: maryline.laurent(a)telecom-sudparis.eu <mailto:maryline.laurent@telecom-sudparis.eu> ------------------ Telecom SudParis (www.telecom-sudparis.eu <http://www.telecom-sudparis.eu/>) is a member of both Institut Polytechnique de Paris (ip-paris.fr <http://ip-paris.fr/>) and Institut Mines-Télécom (www.imt.fr <http://www.imt.fr/>). Located both in Evry and Palaiseau, it offers an excellent environment for research and teaching. The candidate will join the R3S team (Network, System, Services, Security) of the SAMOVAR laboratory (https://samovar.telecom-sudparis.eu <https://samovar.telecom-sudparis.eu/>) and be associated to the computer science department (IDIA) at IP Paris. -- Maryline Laurent Professor, Samovar, Télécom SudParis, Institut Polytechnique de Paris Director of RST department 9 rue Charles Fourier, 91011 EVRY maryline.laurent(a)telecom-sudparis.eu <mailto:maryline.laurent@telecom-sudparis.eu> +33 (0)160 76 4442 +33 (0)617 42 4776

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