computational.science March 2021

computational.science@lists.iccsa.org

14 participants
18 discussions

[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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Full-time Assistant Professor Position in Networking 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 an Assistant Professor (M/F) in the area of Networking. We are looking for a high-potential candidate with teaching and research experience in the field of future network architectures and services. Candidates must hold a PhD in a related domain, with at least two years experience in research and teaching. International experience or exposure is expected The candidate will have to describe a research project based on the “Très Haut Débit” platform (http://www.telecom-sudparis.eu/recherche/plateformes-recherche/ <http://www.telecom-sudparis.eu/recherche/plateformes-recherche/>), to ensure the scientific and technological development of the platform, and to secure the sustainability of the equipment. Research activities should cover high speed networks (HS optical infrastructures and protocols, 5G/HS convergence, edge computing, convergence IT-IoT), virtualization of networks and services (SDN, NFV, network slicing, microservice architectures, containerization), network modeling and methodology (data-driven optimization, AI, big-data collection and exploitation for network management, stochastic methods for networks), and/or network technologies in verticals (cloud gaming, CDNs, distributed machine Learning, virtual or augmented reality, Tactile Internet, industry 4.0, Smart Cities, Internet of Vehicles, smart grid). The candidate will be responsible for teaching and organizing courses in the common core training of students (cycle d’ingénieur), in the Formation Ingénieur par Apprentissage (FIPA), in the Master on Computer Science for Networks (CSN) of the Institut Polytechnique de Paris and in the specialized Master’s degree. Teaching will focus on Computer Networks (from infrastructures to 5G/HS convergence, virtualization, edge computing). 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/maitre-de-conferences-en-… <https://institutminestelecom.recruitee.com/l/en/o/maitre-de-conferences-en-…> 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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computational.science March 2021