The 1st International Workshop on
Human-in-the-Loop Applied Machine Learning (HITLAML)

September 04 - 06, 2023 - Belval, Luxembourg

About The Workshop


Recent advances in applied Machine Learning (ML) are increasingly involving humans, in data processing, model training, inference, and system design and practical application areas. Improving model predictions, and creating a seamless interaction between humans and ML systems are the two main reasons for Human-in-the-Loop applied ML (HITLAML). For instance, ML models are deployed for designing conversational agents (CA), Adaptive User Interfaces (AUI) and diverse Human-computer interaction (HCI) applications. ML research, particularly Computer Vision (CV) and Natural Language processing (NLP) have enjoyed enormous success over the past decade. Advances in NLP have shown great relevance for various downstream tasks such as language generation, personalisation and recommender systems. Similarly autonomous vehicles, medical imaging, facial recognition, pose tracking and interactive entertainment are among the areas where cross-domain adoption of CV has gained momentum.
The aim of this interdisciplinary workshop is to put a spot-light on recent advances and practical applications of ML involving humans. The workshop calls participants for submission on topics including, human-in-the-loop NLP, CV, HCI, and other practical applications of ML such as recommender systems, personalization.

Theme of Submission

The workshop has an interdisciplinary theme and welcomes submissions of works involving practical applications of Machine learning in HCI context. The relevant themes include but not limited to:

  • Human-in-the-loop NLP
    • Language Modeling for downstream tasks
    • Machine Translation
    • Conversational Agents
  • Human-in-the-loop CV
    • Gesture recognition
    • Motion Detection
    • Pose Estimation
  • HCI
    • Emotion recognition using EEG, FNIRS, Eye tracking
    • Brain computer interfaces (BCI)
    • Bio-signal processing
    • Mouse tracking
    • Adaptive User Interfaces (AUI)
  • Applied ML
    • Recommender Systems, Personalization
    • Applied ML in Health care
    • Applied ML in digital arts and cultural Heritage
    • Applied ML in Economics and Finance
    • Applied ML in Transportation and Logistics
  • Ethical considerations in applied ML.

Important Dates

Paper & Demo
Submission deadline:

June 15, 2023 (AoE)

July 14, 2023 (AoE)

Travel Grant Application deadline:

July 20, 2023 (AoE)

Notification of acceptance:

July 31, 2023 (AoE)

August 3, 2023 (AoE)

Camera-ready Submission:

August 18, 2023 (AoE)

Registration opens:

July 26, 2023

Workshop date:

September 04 - 06, 2023

Submission Guidelines

Submission format: Submissions for contributing papers must be original (i.e., not submitted to any other venue) and are required to be in CEUR format (see: HOW TO SUBMIT ) with 6 pages + references (including acknowledgements + supplementary material if necessary).

Previously published articles or preliminary works can also be submitted in the form of extended abstracts (2 pages + references).

Submission link: Submissions are to be made via Microsoft CMT: HERE

The review process: The review process will be carried out as double-blind.

Publication: Accepted papers will be published in CEUR Accepted publications will also be invited to submit an extended version, which will be published on [ACM] proceedings.

Travel Grant

Thanks to the Luxembourg National Research Fund (FNR)'s, RESCOM scientific events grant, we are able to offer a maximum of 3,000 Euros as a travel grant to PhD students and young researchers with accepted papers to support attendance. If you are interested in applying for a travel grant, please fill out THIS form. We encourage all eligible applicants to apply.


Keynote speakers

Speaker 3

Djamila Aouada

Professor at SnT UL, Luxembourg

Speaker 2

Jean Vanderdonckt

Professor at UCLouvain, Belgium

Speaker 3

Janin Koch

Professor, Inria Saclay, France


Speaker 1

Ludovik Coba

Machine Learning Scientist, Expedia, UK

Interpretability of Machine Learning Models

Speaker 2

Jonathan K. Kummerfeld

Professor, University of Sydney, Australia

Collaborative Human-AI Systems for Databases, Diplomacy, and more


Workshop organizing team

Organizer 1

Bereket YILMA

University of Luxembourg, Luxembourg

Program Chair

Speaker 2

Surafel LAKEW

Amazon AWS AI Labs, USA

Program Co-Chair
Speaker 3


University of Leiden, Netherlands

Poster and Demo chair
Speaker 3


Amazon AWS AI Labs, USA

Technical Program Chair
Speaker 3


Luxembourg Tech School asbl, Luxembourg

Publicity chair
Speaker 3

Mateusz DUBIEL

Unversity of Luxembourg, Luxembourg

Publication Chair

Student Volunteers


Event Schedule

Here is our event schedule

Please find below our schedule.


Registration and welcome coffee


Tutorial Ludovik Coba

Interpretability of Machine Learning Models

Hubert Hirthe

Oral presentations

Accepted Papers

  • 11:00 AM Unveiling the Role of Expert Guidance: A Comparative Analysis of User-centered Imitation Learning and Traditional Reinforcement Learning; Amr Gomaa*, Bilal E Mahdy; German Research Center for Artificial Intelligence (DFKI), Germany

  • 11:20 AM Beyond original Research Article Categorization via NLP; Rosanna Turrisi*; University of Genova, Italy

  • 11:40 AM Monitoring Cyber Peer-Led Team Learning: A Multimodal Human-in-the-loop Approach; Karen DSouza*, LPratibha Varma-Nelson, Shiaofen Fang, Snehasis Mukhopadhyay; Indiana University & Purdue University Indianapolis, USA

Cole Emmerich

Lunch break

Jack Christiansen

Keynote Djamila Aouada

Enabling 3D reverse engineering


Spotlight Presentation and Demo

Yonas T. Tefera*, Yaesol Kim, Sara Anastasi, Nikhil Deshpande;
VICARIOS Lab, Istituto italiano di tecnoligoa (IIT), Genova, Italy

Real-time Immersive Remote Telerobotics: Highlighting the Benefit of Humans in the Loop and Applying Machine Learning

Immersive remote teleoperation allows humans to interact with inaccessible or hazardous environments through robots using advanced technologies like VR and AR. It ensures safe and efficient operations, facilitates knowledge transfer, and expands human involvement in challenging domains. This presentation will demonstrate Vicarios Mixed Reality and Simulation Lab's work that aims to enhance real-time immersive interaction in Telerobotics, focusing on the vital role of human involvement. The presentation will highlight the challenges associated with immersive remote teleoperation and present potential solutions that the lab has been exploring. Moreover, a live demonstration illustrating the practical implementation of these solutions in real-time, overcoming geographical distances will be showcased. Specifically, the demo will present a case study involving a teleoperation scenario from Luxembourg to Genova, Italy, spanning a distance of 863 km. Furthermore, the talk will discuss specific areas where machine learning can be applied, highlighting its benefits in enhancing user experience, increasing efficiency, and optimizing task execution.

Jack Christiansen

Coffee break @MSA 0342090 AB

Jack Christiansen

Poster Session. @ Maison du Savoir (MSA 3.230 and MSA 3.240.)

parallel demo session.

  • VisionChain - Taming Foundational Vision Models for use in the Real World; George Pearse*; Binit AI

  • Real-time Immersive Remote Telerobotics: Highlighting the Benefit of Humans in the Loop and Applying Machine Learning; Yonas T. Tefera*, Yaesol Kim, Sara Anastasi, Nikhil Deshpande; VICARIOS Lab, Istituto italiano di tecnoligoa (IIT), Genova, Italy

  • Gustav: Cross-device Cross-computer Synchronization of Sensory Signals; Kayhan Latifzadeh*, Luis A. Leiva, University of Luxembourg, Luxembourg

Brenden Legros

Keynote Jean Vanderdonckt

To the end of our possibilities with adaptive user interfaces

Jack Christiansen

Coffee break @MSA 0342090 AB

Hubert Hirthe

Tutorial Jonathan K. Kummerfeld

Collaborative Human-AI Systems for Databases, Diplomacy, and more

Cole Emmerich

Lunch break

Brenden Legros

Oral presentations

Accepted Papers

  • 02:00 PM Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems; Amr Gomaa*, Michael Feld; German Research Center for Artificial Intelligence (DFKI), Germany

  • 02:20 PM Can LLMs Demystify Bug Reports?; Laura Plein*, Tegawendé F. Bissyandé; University of Luxembourg, Luxembourg

  • 02:40 PM No Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing; Nuwan T. Attygalle*, Luis A. Leiva*, Matjaž Kljun , Christian Sandor, Alexander Plopski, Hirokazu Kato and Klen Copiˇc Pucihar*; University of Primorska, Koper, Slovenia

Alejandrin Littel

Panel discussion


The panel dives into the future of Artificial intelligence (AI) and Society, where experts discuss about the most important issues of our time including Generative AI, Overcoming Bias , Transparency and Explainability, Privacy and Security issues. The panel will also open opprtunities for the public to ask questions and egange in a lively moderated discussion with experts.

Jack Christiansen

Coffee break @MSA 0342090 AB

Jack Christiansen

Closing Keynote Janin Koch

Human-AI collaboration Shifting the focus to interaction

Willow Trantow

Closing Ceremony organizers

Best paper award

Hubert Hirthe


Cole Emmerich

A piece of world heritage: The Blast furnaces in the City of Science


The blast furnaces of Belval that form part of the City of Science at the new university are a major tourist attraction and cultural highlight. You can climb up more than 180 steps to reach a height of 40m in blast furnace A, as part of a guided tour led by former steelworkers. From there you have an amazing view of a unique ensemble of urban buildings. A few times a year, it’s possible to visit the blast furnaces by night. An exhibition in the Massenoire building provides an introduction to the university quarter and describes the history of the iron and steel industry and the development of the southern part of Luxembourg. Just nearby is the Rockhal concert hall.

If you are staying in town for day 3, feel free to sychronise with fellow attendees and explore the Blast Furnace. More information about Guided tour, opening hours and ticket prices for individual/ group can be found here

Event Venue

Event venue location info and gallery

University of Luxembourg, Belval Campus

Founded in 2003, the University of Luxembourg is the only public university of the Grand Duchy of Luxembourg. Multilingual, international and research-oriented, it is also a modern institution with a personal atmosphere. The multicultural country is home to the Financial Centre, to European Union Institutions and international enterprises.

Our workshop will take place from September 04 - 06, 2023 at the Belval campus (MSA building Auditorium 3.500) located in the city of Esch-sur-Alzette , Luxembourg’s second largest city which was the European Capital of Culture in 2022.


Useful Links

Here are some useful links for your trip to the Grand Duchy of Luxembourg.


Registration is now OPEN:

Grab your Ticket Free of Charge

Contact Us

For any question or suggestion, please contact us


Maison du Nombre 6, Avenue de la Fonte
L-4364, Esch-sur-Alzette, Luxembourg

Phone Number

(+352) (466-644-9732)

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