16 Rue Sergent Blandan Hanan Salam Lyon, France H +33 6 77 41 33 90

PhD Degree in Telecommunications, B contact@hanasalam.comÍ www.hanansalam.com/Information and Communication hanan-salamSciences and Technologies (STIC) Nationality: French/Lebanese

Keywords Computer Science, Data Science, Image and Signal Processing, Human-Machine Interaction, Artificial Intelligence, Machine learning, Robotics, Human-Robot Interaction, A˙ective Computing, Social Signal Processing, User-Centered design

Academic Background 2011 – 2013 PhD Degree in Telecommunications, Information and Communication Sciences and Tech-

nologies, (STIC), Centrale Supélec, Rennes, France, highest honors. Defended on : December 20, 2013. Subject: Multi-object Modeling of the face. Laboratory : Institute of Electronics and Telecommunications of Rennes (IETR), team "Signal, Communication et Embedded Electronics (SCEE)". Supervisors : Renaud SEGUIER, Christophe MOY. Reporters : Saida BOUAKAZ - Professor (LIRIS), Jean-Claude MARTIN - Professor (LIMSI). Jury members : Lionel PREVOST - Professor (LAMIA), Piere-Yves COULON - Professor (Gipsa-Lab), Renaud Seguier - Professor (IETR).

2010 – 2011 Masters degree in Control, Robotics, Signal and Image Processing, École Centrale de Nantes. Laboratory: Institute of Research in Communications and Cybernetics of Nantes (IRCCyN), Central Laboratory of Bridges and Highways (LCPC). Subject : Cracks detection in road images using Markov models. Supervisors: Jérôme IDIER, Sylvie CHAMBON.

2006 – 2010 Engineering degree in Telecommunications and Computer Science, Lebanese University, Beirut, Lebanon.

2005 High School degree (General Sciences section), Omar Farroukh high school, Beirut, Lebanon, Obtained with distinction.

Professional Experience Academia

2019-Present Associate Professor in Artificial Intelligence and Data Science, Emlyon Business School, Lyon, France.

2011 –2018 Part-Time Lecturer, France. { École supérieure d’ingénieurs Léonard-de-Vinci (ESILV). { University of Paris VIII. { University of Pierre and Marie Curie, Sorbonne. { University of Rennes I. { National Institute of Applied Sciences (INSA).

2015 – 2016 Contractual Assistant Professor (ATER), UPMC, Sorbonne, Paris, France.

mailto:contact@hanasalam.comhttp://www.hanansalam.com/http://https://www.linkedin.com/in/hanan-salam-065a1840/?locale=en_US

2014 – 2015 Post-doc fellowship in Human-Robot Interaction, ISIR, Paris, France. Automatic analysis of human behavior for the detection of engagement in Human-Robot/Virtual Agent Interaction Programming: C++, Matlab, Python, Java, Script Shell Unix Project : Future Investment A1:1 - Interaction with human-sized avatars { Implementation and design of the "IMI2S" platform, a lightweight framework for distributed computing".

The platform is based on a modular architecture using network communication protocols and enables the development of processing chains for the analysis of social signals.

{ Modeling user engagement in interaction with a robot/virtual agent. { Development of a module for automatic detection of user engagement (statistical learning approach). { Participation in international workshops and conferences in the field of human-machine interaction:

IEEE-FG (Slovenia), ACII (China) Acquired skills : User Data Processing, Machine Learning, Modeling Human Behavior

2011–2013 PhD in Human-Computer Interaction, Institute of Electronics and Telecommunications of Rennes (IETR), Rennes, France. Face modeling and automatic understanding of human behavior Project: IMMEMO (3D IMMersion based on the EMOTIONAL interaction) Programming: C / C ++, Matlab { Proposition of a new modeling of the face. { Development of a system for gaze detection by statistical learning. { Development of a system for the detection of the gaze by statistical learning (Work carried out in

collaboration with ISIR). { Development of a system for the detection of emotions through statistical learning (work carried out with

the company Dynamixyz). { Participation in international workshops and conferences in the field of human behavior analysis Acquired skills : Statistical learning, Segmentation of objects, Optimization methods (genetic algorithms, gradient descent, . . . ), Data fusion.

2009–2010 Research internship in image processing, LCPC, Nantes. Detection of cracks in pavement images by segmentation based on Markov modeling (C, Matlab, Linux). Project: IRQN (Quality Images of the National Road Network) { Proposition and implementation of a Markov model adapted to the detection of cracks. Acquired skills : Modeling, Optimization (Simulated Annealing)

Industry 2017–Present Co-founder and Head of Education and Research, Women in AI .

{ Organization and animation of workshops in high schools for the orientation of young girls to STEM professions and especially the field of Artificial Intelligence through educational robotics.

{ Organization of several events on Artificial Intelligence and highlighting women specialized in AI. { Elaboration of an educational and training program (WAI2GO ) on AI targeting di˙erent age groups and

levels of knowledge in AI. { Vulgarisation of AI in several international conferences for entrepreneurs. { Developing long-term and short-term partnerships with companies (Microsoft, Thales, etc.) around

education and increasing the participation and representation of women in the field of AI. 2017–2019 Consultant in Artificial Intelligence and Data Science, Paris, France.

{ Slighter - User data analysis of a smart lighter and proposition of strategies for increasing user engagement with

the product (work conducted with Wissam Sammouri). { Sylog - Consulting in digital transformation strategy. - Development of the platform YouPro which aims at creating a link between companies and the youth

especially vocational students. - Intervention in orientation and AI workshops in vocational high school students.

https://www.womeninai.cohttps://www.womeninai.co/educationhttp://slighter.com/http://Sylog.frhttp://you-pro.co

2016–2017 R&D Engineer in Artificial Intelligence and Robotics, Startup A.I.Mergence, Paris, France. Research and development of Artificial Intelligence algorithms on an intelligent mobile robot for home surveillance Programming : C/C++ { Project management of the project "Ephore - intelligent mobile robot for home surveillance". { Design and development of an intelligent robotic platform for the "Cognitive rehabilitation of severely

traumatized patients with cognitive diÿculties" in partnership with the Institute of Brain and Spinal Marrow (ICM), Pitié Salpêtrière.

{ Design of a robot that avoids obstacles with a collection of ultrasonic and infrared sensors (Programming on ST32 ARM Cortex M3 micro-controllers).

{ Real-time detection of objects by deep learning techniques. { Design and test of a mobile water leak detection system. { Contextual person identification. { Test of face recognition algorithms (deep learning). { Test of state-of-the-art object tracking algorithms. { Software integration on the Nvidia Tegra TX1 System on Module (SoM). { Micro-controllers Programming (arduino, ST32 ARM Cortex M3) to test humidity and distance sensors.

Teaching experience Emlyon { Python Data Analysis (24h x 3 Course, 3rd year). Business { Machine Learning (24h Course, 3rd year). School { Artificial Intelligence Applications for Business (6h x 2 Course, 3rd year engineering).

ESILV { Chatbots and Recommender Systems (81h labs, 4th year engineering). { Machine Learning (54h labs, 4th year engineering). { Opinion Mining (12h Course, 4th year engineering). { User Experience (12h Course, 4th year engineering).

Université { Content Management Systems (30h course, 2nd year Bachelor’s degree). Paris st-Denis { Human-Computer Interaction and application for people with disabilities (80h course, 3rd year

Bachelor’s degree). { Assistive Technology for people with disabilities (80h course, 3rd year Bachelors degree).

Université { Pattern Recognition and Machine Learning (18h labs, 2nd year Masters degree). Pierre et { Perception and Modeling of the Interaction (32h labs, 2nd year Masters degree).

Marie Curie { Social Robotics (32 labs, 2nd year Masters degree). { Signals and Systems (20h labs, 2nd year Masters degree). { Imperative Programming in C (22h labs, 3rd year Bachelors degree). { Programming for scientific computing (20h exercises session, 20h labs, 3rd year Bachelor’s degree). { Simulation and advanced command of mecatronic systems (16h labs, 1st year Masters degree). { Image and audio signal processing (16h, labs, 1st year Masters degree). { Mini-projects (9h, 2nd year Masters degree). { Cursus Engineering Projects (48h, 1st year Bachelor’s degree). { Integrative project (10h, 2nd year Masters degree). { Participation in the jury of Masters projects (6h, 1st year Masters degree).

INSA of { Geometrical optics (45h labs, 1st year engineering). Rennes { Engineering Techniques (9h labs, 1st year engineering).

{ Electrocinetics (36h labs, 1st year engineering). { Electronics (24h, labs, 2nd year engineering).

Université de { Oÿce (18h labs, 1st year Bachelors degree). Rennes 1

Students supervision Emlyon PhD students.

{ Fatima Majd - Automatic recognition of engagement in Human-Machine Interaction using Deep Learning. { Ragheed Barakat - Artificial Intelligence for consumer behavior analysis in online platforms.

University of Masters degree projects. Pierre and { Design of a system for recognizing the user’s engagement by recognizing the actions and gestures of the

Marie Curie human in Human-Robot Interaction by a machine learning approach. Final year engineering projects. { Implementation of a system of emotions and human behavior recognitions. Masters degree Mini-projects (two and half months duration, aims at introducing and initiating Masters students to the necessary tools required to carry out a research project). { State of the art on the automatic detection of engagement in human-machine interaction. { State of the art on context-based automatic human behavior and mental/emotional state detection

systems. Integrative project (program aims at federating all or part of the students of the five specialties existing in the university, realized in groups of 4 to 8 students). { Development of a world model called "Social World Model" based on the fusion of 3D data from several

RGB-D sensors to describe the world in terms of the existing objects and people and the interaction between them.

A.I.Mergence Final year engineering projects. { Contextual identification of persons by a mobile security robot. 2nd and 4th year engineering projects. { Detection of access paths of a house by a mobile security robot. { Audio Detection et localization by a mobile security robot.

International research stays July 2015 Invited researcher, Queen Mary University of London, School of Electronic Engineering and

Computer Science, Stay duration: 1 week. April - May Invited researcher , University of Cambridge, Computer Laboratory, Stay duration: 2 weeks.

2016

Awards and grants 2019-2021 AI4EU, grant of 100k obtained by Women in AI from Horizon 2020 as part of the projet AI4EU.

2012 International Audio/Visual Emotion Challenge and Workshop (AVEC), First place. 2011 Facial Expression Recognition and Analysis Challenge (FERA), Second place.

Collaborations I have actively collaborated with many excellent researchers and research institutes, including:

{ Computer Laboratory, Cambridge Hatice Gunes, Oya Celiktutan.

{ University of Antilles, LAMIA Lionel Prevost.

{ UPMC, ISIR Mohamed Chetouani, Isabelle Hupont, Kevin Bailly, Vincent Rapp, Thibaud Senechal.

{ Dynamixyz Nicolas Stoiber.

{ Supélec, Fast Renaud Seguier, Catherine Soladie.

{ Télécom-ParisTech, LTCI Catherine Pelachaud, Nadine Glas, Chloe Clavel, Sabrina Campano.

{ University of Paris 8, IFRATH Salvatore Anzalone.

Collaborative Research Projects 2010 – 2013 IMMEMO (IMMersion 3D basée sur l’interaction ÉMOtionnelle).

Partners: { Telecom Paris Tech/LTCI { UPMC/ISIR { Artefacto { Supélec/SCEE In collaboration with an industrial partner who develops a 3D immersion system consisting of a network of synchronized cameras, display screens, software to capture the movement of a person in a restricted environment and to synthesize in real time A clone of the person immersed in the virtual world. This industrial research project aims at designing an extension module enabling this platform to capture and recognize facial expressions of the immersed person (learner) in order to facilitate his interaction with an autonomous conversational agent whose behavior will adapt Semi-automatically to that of the learner.

2014-2016 Investissement d’Avenir A1:1 – Interaction avec les avatars à taille humaine. Partners: { La Cantoche Production (Porteur) { Cliris { Institut Mines-Télécom/LTCI { Mazedia { UPMC/ISIR The objective of this project is to allow an interaction between a human and a virtual agent of human size, in a cultural place (the Historial of the Vendée), including dimensions of verbal and non-verbal communication. The avatar plays the role of guide who asks visitors about the museums in order to acquire new knowledge. To interact properly with visitors to the museum, the virtual agent must have communication skills to interpret the verbal and non-verbal cues of the users.

2010 IRQN (Images Qualité du Réseau routier National). Partners: { Ecole Centrale de Nantes, IRCCyN { LCPC Each year, as part of Operation IQRN, Images Qualité of the National Road Network, one third of the national roads are evaluated in order to determine the quality of the pavement and plan the necessary repairs. The manner of detecting cracks was based on a manual survey by qualified persons (lifters). This task is dangerous for the lifters, tedious, little repeatable, ine˙ective. This project involves the automation of pavement degradation surveys.

Principal co-organized international events April 2018 The General Data Protection Regulation: An opportunity for the CHI community? at CHI 2018,

Montreal, Canada. November INTERPERSONAL "First International Workshop on Modeling Interpersonal Synchrony" at the

2015 International Conference on Multi-modal Interaction (ICMI), Seattle, USA. September "First international Workshop on Engagement in HumAN Computer IntEraction" at 6th A˙ective

2015 Computing and Intelligent Interaction (ACII), Xian, China.

Journal and conferences review activities { Frontiers of Information Technology & Electronic Engineering. { Frontiers Robotics and AI. { Cognitive Systems Research (COGSYS). { Face and Gesture (FG 2017). { IEEE Access. { 10th International Conference on Interfaces and Human Computer Interaction (IHCI 2016). { 9th International Conference on Interfaces and Human Computer Interaction (IHCI 2015). { IEEE Robotics and Automation Society (IROS 2015).

Scientific animation and collective responsibilities

Collective responsibilities 2013 Elected Member of the advisor board of the doctoral school MATISSE.

2011 – 2013 Active member of the IETR PhD students association (ADDI) Administrator and animator of the online social networks of the PhD students association ADDI. Scientific Animation

March 2017 France Intelligence Artificielle, Cité de la science et de l’industrie, Presentation of E-phore: the intelligent home security robot.

February 2017 8th edition of "Lab Postal 2017", La Poste, Presentation of E-phore: the intelligent home security robot.

November RoboNumérique, Saint Quentin, Presentation of E-phore: the intelligent home security robot. 2017

April 2016 Village robotique, Cité de la science et de l’industrie, Presentation of research in robotics conducted at ISIR.

2015 "Fête de la science", ISIR, UPMC, Welcome mediator. 2014 "Fête de la science", ISIR, UPMC, Presentation of the research activities of team IMI2S.

SMART Summer School on Computational Social and Behavioral Sciences, ISIR, UPMC, Assistance in the preparation of the summer school.

July 2013 SSIP 2013 Summer School on image processing, Veszprém, Hungary. Mars 2012 Seminar, Iris position estimation using a Multi-Texture Active Appearance Model, Centrale Supélec,

team SCEE. June 2012 Organization of the IETR doctorants day, Centrale Supélec, the aim of this day is to give PhD

students an experience of presentation and popularization of their work. This work is done in the form of a summary of a page and a poster or an oral presentation.

June 2012 Poster, A multi-texture approach for iris position detection using Active Appearance Models ", Journée Des Doctorants (JDD), Central-Supélec (ex.Supélec).

May 2011 Seminar, 2D/3D Object modeling of facial features using AAM, Central-Supélec (ex.Supélec), team SCEE.

June 2011 Oral Presentation, 2D/3D Object Modeling of facial features using AAM, Journée Des Doctorants (JDD), Central-Supélec (ex.Supélec).

Technical and linguistic skills Programming C/C++, Java, XML, XSD, Python, Fortran95, Shell Unix, SQL, MySQL.

Distributed Robotics Operating System (ROS), IMI2S platform. computing Platforms

Data Machine Learning, Pattern Recognition, Image Analysis and synthesis, Optimization, Segmentation, processing Filtering. Machine Torch, Weka, RapidMiner, Classification Learner. Learning Telecom Signal processing, Analog and numerical Communications, Encoding, Antennas satellite and radar,

Fiber optics, Micro-waves. Tools Matlab/Simulink, PSpice, Labview, Oÿce, Latex.

Operating Windows, Linux, Unix. Systems

Developer Microsoft Visual Studio, Eclipse, Code::Blocks. software

Informatics Analog electronics, Logical circuits, Micro-controllers. Languages French: Fluent; English: Fluent; Arabic: Native.

Publications International Journals

[1] Hanan Salam and Mohamed Chetouani. A contextual multi-state engagement detection model for human-robot interaction. International Journal of Social Robotics, 2019. In review. Impact factor:2.009.

[2] Hanan Salam and Renaud Séguier. A survey on face modeling: building a bridge between face analysis and synthesis. The Visual Computer, 34(2):289–319, 2018.

[3] Hanan Salam, Oya Celiktutan, Isabelle Hupont, Hatice Gunes, and Mohamed Chetouani. Fully automatic analysis of engagement and its relationship to personality in human-robot interactions. IEEE Access, 5:705–721, 2017. Impact factor:3.557.

[4] Catherine Soladie, Hanan Salam, Nicolas Stoiber, and Renaud Séguier. Continuous facial expression representation for multimodal emotion detection. International Journal of Advanced Computer Science, 3(5):16, 2013. Impact factor:0.63.

[5] Hanan Salam, Renaud Seguier, and Nicolas Stoiber. Integrating head pose to a 3d multi-texture approach for gaze detection. The International Journal of Multimedia & Its Applications, 5(4):1–22, 2013.

[6] Thibaud Senechal, Vincent Rapp, Hanan Salam, Renaud Seguier, Kevin Bailly, and Lionel Prevost. Facial action recognition combining heterogeneous features via multikernel learning. IEEE Trans-actions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42(4):993–1005, 2012. Impact factor:6.22. International Conferences

[7] Eva Thelisson, Kshitij Sharma, Hanan Salam, and Virginia Dignum. The general data protection regulation: An opportunity for the hci community? In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, page W36. ACM, 2018.

[8] Hanan Salam and Mohamed Chetouani. Engagement detection based on mutli-party cues for human robot interaction. In A˙ective Computing and Intelligent Interaction (ACII), 2015 International Conference on, pages 341–347. IEEE, 2015.

[9] Rodie Cowie, Ursula Hess, Shlomo Hareli, Maria Francesca O’Connor, Laurel D Riek, Louis-Philippe Morency, Jonathan Aigrain, Severine Dubuisson, Marcin Detyniecki, Mohamed Chetouani, et al. Cbar 2015: Context based a˙ect recognition. 2015.

[10] Mohamed Chetouani, Giovanna Varni, Hanan Salam, Zakia Hammal, and Je˙rey F Cohm. The first international workshop on modeling interpersonal synchrony (interpersonal 2015). In Proceedings of the 1st Workshop on Modeling INTERPERsonal SynchrONy And infLuence, pages 1–2. ACM, 2015.

[11] Hanan Salam and Mohamed Chetouani. A multi-level context-based modeling of engagement in human-robot interaction. In Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on, volume 3, pages 1–6. IEEE, 2015.

[12] Hanan Salam and Renaud Seguier. A 3d-eyeball/skin decorrelated active appearance model. In IEEE/IIAE ICISIP 2013, pages 1–8, 2013.

[13] Salvatore M Anzalone, Marie Avril, Hanan Salam, and Mohamed Chetouani. Imi2s: a lightweight framework for distributed computing. In International Conference on Simulation, Modeling, and Programming for Autonomous Robots, pages 267–278. Springer, 2014.

[14] Hanan Salam, Nicolas Stoiber, and Renaud Séguier. A multi-texture approach for estimating iris positions in the eye using 2.5 d active appearance models. In Image Processing (ICIP), 2012 19th IEEE International Conference on, pages 1833–1836. IEEE, 2012.

[15] Catherine Soladié, Hanan Salam, Catherine Pelachaud, Nicolas Stoiber, and Renaud Séguier. A multimodal fuzzy inference system using a continuous facial expression representation for emotion

https://factor:6.22https://factor:0.63

detection. In Proceedings of the 14th ACM international conference on Multimodal interaction, pages 493–500. ACM, 2012.

[16] Thibaud Senechal, Vincent Rapp, Hanan Salam, Renaud Seguier, Kevin Bailly, and Lionel Prevost. Combining aam coeÿcients with lgbp histograms in the multi-kernel svm framework to detect facial action units. In 2011 IEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011), pages 860–865. IEEE, 2011. National Conferences

[17] Vincent Rapp, Thibaud Sénéchal, Lionel Prevost, Kevin Bailly, Hanan Salam, and Renaud Seguier. Combinaison de descripteurs hétérogenes pour la reconnaissance de micro-mouvements faciaux. In RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), pages 978–2, 2012.

[18] Hanan Salam, Renaud Seguier, and Nicolas Stoiber. Détection de l’iris dans des visages de pose quelconque: approche multi-textures et modèles actifs d’apparence 2.5 d. In GRETSI 2013, page nc, 2013.

References Teaching Paris 8, Sorbonne { Pr. Isis Truck: Professor in Computer Sci-

ence at the University of Paris 8, Head of the Bachelors degree MIASHS (Mathématiques, In-formatique Appliquées aux Sciences Humaines et Sociales) isis.truck@univ-paris8.fr +33 (0) 1 49 40 73 25

Research Paris 8, Sorbonne { Dr. Salvatore Anzalone: Assistant professor at

the University of Paris 8 sanzalone@univ-paris8.fr +33 (0) 6 16 82 18 94

UPMC, Sorbonne { Dr. Catherine Achard: Assistant professor at

the University of Pierre and Marie Curie catherine.achard@upmc.fr +33 (0) 1 44 27 23 48

{ Pr. Hélène Dumontet: Professor at UPMC, Adjoint director of the tea MISES (Modélisa-tion et Ingénierie des Solides Et Structures) helene.dumontet@upmc.fr +33 (0) 1 44 27 87 00

UPMC, Sorbonne { Pr. Mohamed Chetouani : Professor at the

University of Pierre and Marie Curie and head of the team "IMI2S" at ISIR mohamed.chetouani@isir.upmc.fr +33 (0) 1 44 27 63 08

CentraleSupélec { Pr. Renaud Séguier: co-founder and scientific council of "Dynamixyz" and professor at Centrale-

Supélec renaud.seguier@supelec.fr +33 (0) 2 99 84 45 35

mailto:renaud.seguier@supelec.frmailto:mohamed.chetouani@isir.upmc.frmailto:helene.dumontet@upmc.frmailto:catherine.achard@upmc.frmailto:sanzalone@univ-paris8.frmailto:isis.truck@univ-paris8.fr

KeywordsAcademic BackgroundProfessional ExperienceAcademiaIndustry

Teaching experienceStudents supervisionInternational research staysAwards and grantsCollaborationsCollaborative Research ProjectsPrincipal co-organized international eventsJournal and conferences review activitiesScientific animation and collective responsibilities Collective responsibilitiesScientific Animation

Technical and linguistic skillsPublications International JournalsInternational ConferencesNational Conferences

ReferencesTeachingResearch