Difference between revisions of "AmelieGyrard"

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=== Research Proposals ===
 
=== Research Proposals ===
* StandICT2023 3rd Open Call 2021 - IoT Semantic Interoperability Specialization to Preventive Health, Well-Being and AI (Accepted - Principal Investigator)
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* StandICT2023 3rd Open Call 2021 - IoT Semantic Interoperability Specialization to Preventive Health, Well-Being and AI (Granted - Principal Investigator)
  
* StandICT2023 1st Open Call 2021 - IoT Semantic Interoperability - Specialization to Energy and relationship to AI (Accepted - Principal Investigator)
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* StandICT2023 1st Open Call 2021 - IoT Semantic Interoperability - Specialization to Energy and relationship to AI (Granted - Principal Investigator)
  
* AI4EU Challenge Open Call 2021 - [https://www.ai4eu.eu/ke4wot Knowledge Extraction for the Web of Things (KE4WoT) Challenge] (Accepted - Principal Investigator)
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* AI4EU Challenge Open Call 2021 - [https://www.ai4eu.eu/ke4wot Knowledge Extraction for the Web of Things (KE4WoT) Challenge] (Granted - Principal Investigator)
  
 
* Ongoing European project proposals (2020-2021)
 
* Ongoing European project proposals (2020-2021)

Revision as of 07:03, 8 September 2021

The Web Conference 2018 (previously WWW) Demo Co-chair
Amelie Gyrard
M3 Tee Shirt created for the ISWC 2016 "Semantic Web meets Internet of Things and Web of Things"
M3 Tee Shirt and Stickers created for the ISWC 2016 "Semantic Web meets Internet of Things and Web of Things"
Best Paper Award at WWW/Internet Conference 2018
Best Paper Award at AINA Conference Workshop 2016
File:DownoadedAwardSmartHealthJournal.jpg
Most Downloaded Paper Award Elsevier Smart Health Journal 2020

Contents

Biography

Dr. Amelie Gyrard is a consultant on Research & Innovation European projects at Trialog, Paris, France. Dr. Amelie Gyrard has 10-year experience in topics such as Internet of Things (IoT) and Artificial Intelligence (AI) Semantic Interoperability, Robotics, and Well-being. She is experienced in working with H2020 European projects such as 1) Interconnect: Interoperable solutions connecting smart homes, buildings, and grids [1], 2) ACCRA: Robots for Ageing [2], 3) StandICT.eu 2023: Supporting European Experts Presence in International Standardisation Activities in ICT [3], 4) AI4EU: European AI On Demand Platform and Ecosystem - Knowledge Extraction for the Web of Things (KE4WoT) Challenge [4], and 5) FIESTA-IoT: Federated Interoperable Semantic IoT/Cloud Testbeds and Applications.

Dr. Gyrard is involved in standardizations relevant for Internet of Things and ontologies (e.g., ISO/IEC SC41 IoT and Digital Twin, ISO/IEC SC42 AI, ETSI SmartM2M, W3C, IEEE Ontology for Autonomous Robotics, iot.schema.org). She co-authored Semantic Interoperability for Internet of Things (IoT) white papers targeting developers and engineers where different standardization activities are collaborating (W3C Web of Things, ISO/IEC JTC1, ETSI SmartM2M, ONEM2M, IEEE P2413, and AIOTI). As a young researcher (Ph.D. degree from Telecom ParisTech, France), she co-authored more than 35 peer-reviewed articles/book chapters (more than 1500 citations, h-index=23); co-chaired events (e.g., workshops, tutorials, demo tracks, and challenges at ISWC, WWW) and is a reviewer/PC member for communities, international conferences and journals such as IoT, World Wide Web (WWW)/Web Intelligence/Semantic Web (ISWC)/Knowledge Graphs, and Artificial Intelligence (AAAI).

Dr. Gyrard was a postdoctoral researcher at 1) Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing, Wright State University, USA, (with the appointment as a research assistant professor) in 2018-2019 (under the supervision of Prof. Amit Sheth, Prof. T.K. Prasad, and Prof. Valerie Shalin). 2) MINES Saint-Etienne (Connected Intelligence - Knowledge Representation and Reasoning team), France in 2017 (under the supervision of Dr. Maxime Lefrancois, Dr. Antoine Zimmermann, and Prof. Olivier Boissier). 3) Insight Center for Data Analytics, National University of Galway, Ireland in 2015-2016 (under the supervision of Dr. Martin Serrano); and actively worked in the scientific development and coordination of the FIESTA-IoT (Federated Interoperable Semantic IoT/Cloud Testbeds and Applications) EU H2020 project.

She received her Ph.D. from Eurecom, France in 2015 (under the supervision of Prof. Christian Bonnet and Dr. Karima Boudaoud) where she designed and implemented the Machine-to-Machine Measurement (M3) framework. Her Ph.D. dissertation is "Designing Cross-Domain Semantic Web of Things Applications". An entire workflow to semantically annotate heterogeneous IoT data, a necessary step to reason on data to infer high-level abstractions and querying enriched data. This framework hides the complexity of using semantic web technologies to the developers by providing a package with the domain knowledge required to produce the entire workflow. Moreover, it shows the importance to combine heterogeneous applicative domains.

Her research interests are Software engineering for Semantic Web of Things/Internet of Things (IoT), semantic web best practices and methodologies, ontology engineering, Artificial Intelligence (AI) such as reasoning, and interoperability of IoT data.

Additional information:

Research Projects @ Knoesis

Knoesis Knowledge Graph

KHealth projects @ Knoesis

Kno.e.sis asthma ontology

Disaster Management with Hazards SEES @ Knoesis

Other projects @ Knoesis

  • Improving ontology quality designed within Knoesis project with PerfectO
  • Open source tools and datasets at Knoesis web page
  • Coordination of Knoesis Institute Meeting
  • NSF US Proposal Writing
  • Check other projects @ Knoesis

Semantic Web of Things Research Projects (2012 - 2019)

Semantic Web of Things with M3 Framework

Machine-to-Machine Measurement (M3) is a framework to semantically annotate and easily interpret Internet of Things (IoT) data. M3 enables designing interoperable domain-specific or cross-domain Semantic Web of Things (SWoT) applications. Our main goals are to help developers for fast-prototyping of IoT applications and reducing the learning curve of integrating semantic web technologies. We mainly address semantic interoperability on sensor data, ontologies, reasoning on data to build Web of Things applications.

  • Demos:



Ontology Catalog for Internet of Things with LOV4IoT

The Linked Open Vocabularies for Internet of Things (LOV4IoT)is an extension of the Linked Open Vocabularies (LOV) ontology catalog. LOV4IoT references ontology-based IoT projects:
- Almost 500 ontology-based projects are referenced for IoT, smart cities, etc.
- More than 20 domains relevant to IoT are classified such as building, smart grid, smart agriculture, robotics, smart transportation, healthcare, etc.
- The LOV4IoT ontology catalog table view is provided for humans.
- The LOV4IoT RDF dataset is provided for machines.

  • Demo:


Semantic Web Best Practices with PerfectO

Perfect Ontology (PerfectO) references, classifies and provides tools to encourage Semantic Web Best Practices to achieve Semantic Interoperability by focusing on ontology improvement.


Interpreting IoT Data with Sensor-based Linked Open Rules (S-LOR)

Sensor-based Linked Open Rules (S-LOR) is a rule-based reasoning engine and an approach for sharing and reusing interoperable rules to deduce meaningful knowledge from sensor measurements.


Unifying IoT Data & Domain Knowledge with the Machine-to-Machine Measurement (M3) Language

M3 language is a dictionary which has been designed to unify IoT Data & Domain Knowledge. M3 language is implemented within the M3 ontology. M3 ontology has been extended and improved for the FIESTA-IoT EU H2020 project.


Securing IoT applications with the Security Toolbox: Attacks and Countermeasures (STAC) Knowledge Graph

Security Toolbox: Attacks and Countermeasures (STAC) is a project to assist developers in:
- Designing secured applications or architectures.
- Being aware of main security threats.
- Exploring security in various technologies such as sensor, cellular (2G, 3G, 4G), wireless networks (Wi-Fi, Wimax, Zigbee, Bluetooth), Mesh/M2M/Manet, network management, web applications, cryptography, attacks & countermeasures, security properties (e.g., authentication), etc.


Semantic Interoperability with the SEG 3.0 Methodology

SEG 3.0 Methodology for Semantic Interoperability has been used to design the FIESTA-IoT EU H2020 project.
FIESTA-IoT stands for Federated Interoperable Semantic IoT Testbeds and Applications.
SEG 3.0 methodology extends the M3 research methodology and its tools such as M3 language, LOV4IoT, SLOR, etc.


Towards an e-learning platform for the Semantic Web of Things

Organization of numerous events, set of useful links, etc.


Preventive Health and Well-Being Expertise

  • Knowledge Engineering Framework for IoT Robotics Applied to Smart Healthcare and Emotional Well-Being. Amelie Gyrard, Kasia Tabeau, Laura Fiorini, Antonio Kung, Eloise Senges, Marleen De Mul, Francesco Giuliani, Delphine Lefebvre, Hiroshi Hoshino, Isabelle Fabbricotti, Daniele Sancarlo, Grazia D’Onofrio, Filippo Cavallo, Denis Guiot, Estibaliz Arzoz-Fernandez, Yasuo Okabe, Masahiko Tsukamoto. International Journal of Social Robotics 2021. Springer.
  • IAMHAPPY: Towards An IoT Knowledge-Based Cross-Domain Well-Being Recommendation System for Everyday Happiness. Amelie Gyrard, and Amit Sheth. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Conference 2019. Published within the Elsevier Smart health Journal.
  • Personalized Health Knowledge Graph. Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth, and Saeedeh Shekarpour. Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference (ISWC 2018).

Publications

Check all publications on Google Scholar

  • Citation count: 1440 (May 2021)
  • H-index: 23 (May 2021)
  • I10-index: 40 (May 2021)

International Journals and Magazines (2021-2016)

  • J9: Knowledge Engineering Framework for IoT Robotics Applied to Smart Healthcare and Emotional Well-Being. Amelie Gyrard, Kasia Tabeau, Laura Fiorini, Antonio Kung, Eloise Senges, Marleen De Mul, Francesco Giuliani, Delphine Lefebvre, Hiroshi Hoshino, Isabelle Fabbricotti, Daniele Sancarlo, Grazia D’Onofrio, Filippo Cavallo, Denis Guiot, Estibaliz Arzoz-Fernandez, Yasuo Okabe, Masahiko Tsukamoto. International Journal of Social Robotics 2021. Springer. Special Issue "Behavioral Model for Robot based on brain-inspired AI Cognitive Architecture". Impact factor: 5.126 in 2020
  • J1: Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications Muhammad Intizar Ali, Pankesh Patel, Soumya Kanti Datta, Amelie Gyrard. International Workshop on Very Large Internet of Things (VLIoT 2017) in conjunction with 43rd International Conference on Very Large Data Bases (VLDB 2017), August 28 - September 1 2017, Munich, Germany. Published within the Open Journal of Internet of Things (OJIOT). Research Online Publisher (RonPub). VLDB is ranked as A* conference according to Core conference Portal

Book Chapters (2021-2016)

  • B4: Book Chapter: How to understand better "smart vehicle"? Knowledge Extraction for the Automotive Sector Using Web of Things. Mahda Noura, Amelie Gyrard, Benjamin Klotz, Raphael Troncy, Soumya Datta, and Martin Gaedke. Book: Semantic IoT: Theory and Applications - Interoperability, Provenance and Beyond. Springer 2021.

Ph.D. Dissertation (2015)

International Conferences (2021-2013)

  • C16: SAREF-Compliant Knowledge Discovery for Semantic Energy and Grid Interoperability. Amelie Gyrard, Antonio Kung, Olivier Genest, Alain Moreau. IEEE World Forum on Internet of Things (WF-IoT 2021).

International Workshops (2018-2014)

  • W6: Personalized Health Knowledge Graph. Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth, and Saeedeh Shekarpour. Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference (ISWC 2018).
  • W2: Social Semantic Web Access Control. Serena Villata, Nicolas Delaforge, Fabien Gandon, and Amelie Gyrard. International Workshop Social Data on the Web (SDoW), co-located with ISWC 2011.
  • W1: An Access Control Model for Linked Data. Serena Villata, Nicolas Delaforge, Fabien Gandon, and Amelie Gyrard. International IFIP Workshop on Semantic Web & Web Semantics (SWWS 2011). OTM Confederated International Conferences On the Move to Meaningful Internet Systems.

Awards and Recognition

Standardization-related activities

Research outcomes disseminated to standardizations such as ETSI M2M, oneM2M (working group on management, abstraction and semantics), W3C Web of Things and W3C Semantic Sensor Networks (SSN):

  • White paper Semantic Interoperability for the Web of Things

Different standardization activities are working together (W3C Web of Things, oneM2M, IEEE P2413 and AIOTI)

Semantic Interoperability for Internet of Things (IoT) white papers 2019. AIOTI, ISO/IEC JTC1, ETSI, ONEM2M and W3C collaborate on two joint white papers on semantic interoperability targeting developers and standardization engineers:

White paper 1: Semantic IoT Solutions - A Developer Perspective (Co-author)

White paper 2: Towards semantic interoperability standards based on ontologies (Co-author)

ETSI dissemination

W3C dissemination

AIOTI dissemination

Our research work called M3 has been taken as a baseline and is referenced within the White paper "Semantic Interoperability for the Web of Things" [Murdock et al. August 2016]

  • Co-editor of the ISO/IEC 21823-3 Internet of Things (IoT) standard. Interoperability for IoT Systems. Part 3. Semantic interoperability.
  • W3C Semantic Web Standards

Expertise with W3C Recommendations Semantic Web Standards: RDF, RDFS, OWL, SPARQL, SSN.

  • W3C Semantic Sensor Networks (SSN) Recommendation

Co-chair Semantic Sensor Networks (SSN) Workshop at ISWC 2018
We are extending the W3C SSN ontology to provide an IoT dictionary to unify sensor type, measurement type, units and IoT applicative domains.
Publication: Helping IoT Application Developers with Sensor-based Linked Open Rules at Semantic Sensor Networks Workshop (SSN), ISWC 2014

  • International W3C Web of Things Working Group

M3 referenced within the Web of Things Implementation list
M3 has been presented at W3C Workshop on the Web of Things, Berlin, Germany, 2014
Paper: Domain knowledge Interoperability to build the Semantic Web of Things
Slides: Domain knowledge Interoperability to build the Semantic Web of Things

  • International oneM2M standard - Working Group on Management, Abstraction and Semantics (MAS)

Contribution: A unified language to describe M2M/IoT data - Common terms to describe sensor measurements to ease the automatic interpretation by all M2M/IoT devices at MAS Working Group 5, March 2015
Contribution: Semantic Web best practices and guidelines for domain knowledge interoperability to build the Semantic Web of Things at Management, Abstraction and Semantics (MAS) Working Group 5, April 2014

  • European ETSI M2M Standard

We presented our research work at ETSI M2M Workshop 2013
Slides: An ontology to semantically annotate the M2M data

  • IoT Schema.org

We stay updated with the IoT Schema.org ongoing work.


Achievements & Awards


Nominations


Scientific Activities

Tutorials

Community Engagement: Co-Chair of Conference Tracks, Workshops, Challenges, etc.

Ph.D. Jury Committee

  • Ph.D. - Mehdi Terdjimi (University of Lyon, France) under the supervision of Lionel Medini and Michael Mrissa. Ph.D. Thesis: Semantics-Based Multi-Purpose Contextual adaptation in the Web of Things [Medhi Terdjimi Dec. 2017]

Program Committee Member (2015-2019)

Invited Talks, Other Presentations

  • iot.schema.org Slides (November 2018)
  • Colloque IMT L'Energie en révolution numérique", 28 April 2017, Paris France

Poster: A Semantic Reasoning Engine for IoT and Smart Cities Applied to the Energy domain [Gyrard et al. 2017]
Poster: Internet of Things (IoT), Smart Cities, and Energy: Standardization Survey [Gyrard et al. 2017]

  • Talk at Laboratoire Hubert Curien Scientific Meeting's - January 12th 2017, Saint-Etienne, France

"Semantic Web of Things: Making IoT application development easy for developers with M3"

  • Talk at Insight Friday's talk - November 4th 2016, Galway, Ireland

"Semantic Web of Things: Providing Tools for IoT applications development by using M3 & FIESTA-IoT for developers"

  • Talk at Open Internet of Things Summer School 2016, 7-13 September 2016, Galway, Ireland

"Semantic Interoperability and the Future of Smart Cities"

  • Talk at Insight Friday's talk - June 26th 2015, Galway, Ireland

"Designing Cross-Domain Semantic Web of Things Applications"

Education

Ph.D. in Computer Science and Engineering

  • Presentation:

A one-year specialized postgraduate degree in Cryptography, System, Security, and Network

Master’s Degree in System Network and Internet

Bachelor’s Degree in Computer Science

Work Experience

Postdoctoral Researcher - Kno.e.sis Center, Wright State University, Ohio, USA
January 2018 - 2019 (2 years)


Postdoctoral Researcher - Ecole des Mines de Saint-Etienne, Saint-Etienne, France
December 2016 - December 2017 (1 year)


Postdoctoral Researcher - Insight Center for Data Analytics, National University of Galway, Galway, Ireland
May 2015 - November 2016 (1 year and 7 months)


PhD and Research Assistant - Eurecom, Sophia Antipolis, France
January 2012 - April 2015 (3 years and 4 months)


Apprenticeship - Inria, Sophia Antipolis, France
October 2010 - October 2011 (1 year)


Funding and Proposals

Research Proposals

  • StandICT2023 3rd Open Call 2021 - IoT Semantic Interoperability Specialization to Preventive Health, Well-Being and AI (Granted - Principal Investigator)
  • StandICT2023 1st Open Call 2021 - IoT Semantic Interoperability - Specialization to Energy and relationship to AI (Granted - Principal Investigator)
  • Ongoing European project proposals (2020-2021)
  • US proposals: National Science Foundation (NSF) or National Institutes of Health (NIH), 2018-2019
  • French proposal: Pole SCS, FUI 25, 2017 (Submitted)
  • Qualcomm Innovation Fellowship of Qualcomm Research Germany, 2014 (Submitted)

Fundings to attend Conferences / Travel Grants

  • Computing Research Association (CRA) Women Grad Cohort Workshop, April 2019 - Full Travel Award 2019 supported by the US National Science Foundation (NSF).
  • Computing Research Association (CRA) Women Career Mentoring Workshop 2018 (700 USD and free accommodation), supported by the National Science Foundation under Grant Number (1310792)
  • Smart Health Workshop Travel Award 2018 (1200 USD), supported by the National Science Foundation (NSF)
  • Organizations of workshops, tutorials, challenges (free or reduced conferences fees) at WWW 2018, ISWC 2018-2017, etc.
  • Research Grant to attend the conference and present papers at ESWC 2013
  • Selected as a volunteer to support and attend the conference to present papers at WWW 2013 (free accommodation and conferences fees)

Teaching and Student Supervision Experience

Teaching: Mainly Lab Sessions

  • Discrete Structures and their algorithms class. Wright State University, Ohio, USA. Fall 2019
  • Advanced Semantic Web Class. Knoesis, Wright State University, Ohio, USA. September 2018
  • Semantic Web Class. Eurecom, Sophia Antipolis, France. March - June 2012, 21h
  • Mobile Networking Class. Eurecom, Sophia Antipolis, France. March - June 2012, 21h

Student Supervision, International mentoring

International mentoring:

  • Vamsee Krishna Kiran (CSE), Assistant Professor in Computer Science Department in Amrita Vishwa Vidyapeetham University, Coimbatore, India (2021-2019)

Main outcome: Knowledge extraction using semantic similarity of concepts from Web of Things knowledge bases. Vamsee Muppavarapua, Gowtham Ramesha, Amelie Gyrard, and Mahda Noura. Elsevier Data & Knowledge Engineering Journal 2021.

  • Liesa Azemi, master student, Tun Hussein Onn University, Malaysia. (2019) Semantic Web of Things (SWoT) generator interest.
  • Giridhar Urkude, research scholar from India (2018-2019). Overeall research interest.
  • Ipek Baris, Akram sadat Hosseini, University of Koblenz, Germany (2019). S-LOR interest.
  • Mohamad Jafariiiiii, Iran (2019). GIS (geographical information system), semantic web, IoT interest.
  • Manahil Hassan. MS Thesis "Information Discover in Internet Of things" (2018), UK. Semantic Annotator and reasoning interest.
  • Kausar Parveen Nawaz. PhD Student, University of Engineering and Technology (UET) Lahore, Pakistan. (2018). End-to-end scenario interst. Ontology for triglyceride patients. Suggestion for diet plan for triglyceride.

Collaborative Remote Project (IIIT Naya Raipur (IIIT-NR) India, Knoesis/USA), Summer 2019 (10 weeks):

  • Students: Vishal Pallagani and Vedant Khandelwal
  • Project: Knowledge extraction from ontology-based IoT healthcare projects

Internship at Eurecom, April - September 2014:

  • Student: Amira Sifaoui
  • Project: 1) Integrating a SPARQL endpoint: Jena Fuseki, 2) integrating a triplestore: Jena TDB, 3) ontology mapping tools state of the art. Tests to combine domain ontologies (LOV4IoT) with LogMap, Aroma, Prompt, and 4) tests to extract owl:Restrictions.

Eurecom semester's project, April - June 2014:

  • Student: Riina Mikkonen. Project: Improving the user interface SWoT templates, JavaScript, D3.js
  • Student: Clement Tarriere. Project: Java Security API audit, Transport scenario (ontology, Jena)
  • Student: Romain Fage. Project: Refactoring audit, Transport scenario (ontology, Jena)

University of Nice Sophia Antipolis's project, April - June 2014:

  • Student: Eric Otto. Project: Ontology metadata, LOV API, Plugin protege, Java Swing

University of Nice Sophia Antipolis's project, 3 weeks, 2013:

  • Student: Guy Champollion. Project: Integrating the Bootstrap framework
  • Student: Wafaa Namasse. Project: Contributing to the naturopathy knowledge base
  • Student: Emmanuel Menage. Project: Restaurant scenario, Geonames, Google Maps

Acknowledgments

  • Cory Henson for this Wiki template and Knoesis project examples
  • Collaboration with incredible persons. Thank you very much to all of you [5]
  • Hazards SEES Project: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response. NSF Award#: EAR 1520870
  • KHealth project: This work was supported in part by the National Institutes of Health (NIH) under Grant 1 R01 HD087132-01.