Themes during AI Days at Örebro University

Day: Tuesday morning, 15 October

Place: Innovasalen in Labbet

Theme host: Jennifer Renoux, researcher in computer science

Language: English

The seminar begins with three presentations and will be followed by a panel discussion where the audience can question the speakers.

Lectures and seminars are open to all. You can attend a theme in its entirety or in part – choose the sessions that interest you. No registration is needed.

Program

09:00–09:10 – Welcome (Jennifer Renoux, ORU)
09:10–09:40 – Sustainability of Generative AI (Petra Jääskeläinen)
09:45–10:15 – Data Analysis for Environmental Change Monitoring (Andrea Nascetti, KTH)
10:20–10:50 – The Green-AI project (Amy Loutfi, ORU)
10:50–11:05 – Break
11:05 - 11:50 – Panel discussion (All speakers, moderator: Jennifer Renoux)
11:50 - 12:00 – Wrap-up (Jennifer Renoux)

Speakers

Petra Jääskeläinen

Petra is a Ph.D. candidate and a critical design researcher in the Division of Media Technology and Interaction Design and the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology, Stockholm. Her research focuses on sustainability and ethics of creative AI / AI arts. Her research studies have focused on using speculative methods and studying imaginaries, aiming to understand the values that get embedded into the design of AI art technologies.

Andrea Nascetti

Dr Andrea Nascetti is a researcher at the Department of Urban Planning and Environment at KTH Royal Institute of Technology, Stockholm. His research focus is on earth observation and remote sensing, computer vision and machine learning, and GIS & geospatial data.

Amy Loutfi

Amy Loutfi is professor in computer science at Örebro University and leads the research groups AASS Machine Perception and Interaction Lab. Her research includes machine perception, where AI methods like machine learning are used for the interpretation of sensor data, and human-robot Interaction using fully autonomous and teleoperated robots.

Day: Tuesday afternoon, 15 October

Place: Innovasalen in Labbet

Theme host: Johan Petersson, educational developer

Language: Swedish

This seminar is based on discussions and sharing experiences in small groups. All sessions are open to all. You can attend a theme in its entirety or in part – choose the sessions that interest you. No registration is needed.

Program

13:00–13:30 – Does ChatGPT contribute to classroom discussion – Johan Petersson. Discussion and sharing experiences in small groups.
Break
13:45–14:15 – Music & AI – friend or foe? – Sam de Boise. Discussion and sharing experiences in small groups.
Break
14:30–14:45 – Does ChatGPT contribute to more classroom discussion? – Johan Petersson.
14:45–15:15 – Workshop: Prompting med generative AI.
15:15–16:00 – Discussion and sharing experiences in small groups.

Description

AI + school = true?

You are warmly welcome to join and actively participate in an afternoon dedicated to education! This afternoon, short inspirational sessions will be combined with discussions and sharing experiences in small groups.

Lectures and seminars are open to all. You can attend a theme in its entirety or part – choose the sessions that interest you. No registration is needed.

The afternoon sessions will be led by Johan N., Johan and Sam.

Speakers

Johan Petersson

Johan N. Petersson is an educational developer at Örebro University, focusing on Artificial Intelligence. He has a high school teacher background, and his current role involves enhancing AI competence among teaching staff at Örebro. He often asks himself, “What does everyone need to know about AI?” During his segment, Johan will discuss “What role can AI play in education?

Sam de Boise

Sam de Boise, docent in musicology, teaches within the musicology and music education programmes at Örebro University. His teaching focuses on philosophical questions about how AI impacts the music industry, musicians’ work, and the audience’s perception of music. During the segment, he’ll speak on the theme “Music & AI – friend or foe?”.

Johan Petersson

Johan Petersson is a senior lecturer in informatics at Örebro University. He’s passionate about active learning and has used generative AI in the classroom. During the segment, he’ll discuss “Does ChatGPT contribute to more classroom discussion?” and share concrete examples and ideas.

Day: Wednesday morning, 16 October

Place: Innovasalen in Labbet and Robotlab

Theme host: Todor Stoyanov, senior lecturer in computer science

Language: English

The seminar is based on presentations from industrial companies and researchers and includes an interactive segment showcasing various automation technologies. Lectures and seminars are open to all. You can attend a theme in its entirety or in part – choose the sessions that interest you. No registration is needed.

Program

09:00–09:10 – Welcome and program

09:10–09:35 – Matteo Iovino (ABB) – Behavior trees seem terrible; Why do people use them? In his talk, Matteo will introduce his work with Behavior Trees for robot programming and integration into the Wallenberg Autonomous Systems Program Research Arena (WASP-WARA) Robotics.

09:35–09:50 – Urban Wikman (Algoryx) –Simulation at the core of Robot Learning. In this talk Urban will introduce the high-fidelity physics simulator AGX Dynamics and motivate the need for accurate simulations in the context of robot learning and sim2real transfer.

09:50 - 10:15 – Yuxuan Yang (ORU) - Learning to Manipulate Deformable Objects. Yuxuan will discuss the challenges of manipulation for deformable linear objects and present some solutions developed during his PhD.

10:15–11:15 – Lab tour and mingel with "fika".
Place: Robotlab (where the following presentation will also take place).

11:15–11:45 – Martin Magnusson (ORU) – 25 years of Integrating Robotics and AI at Örebro University. In this talk Martin will take a retrospective view on one of the key directions of research at ORU: how can we build smarter robots by integrating AI techniques. We will see some of the early examples of AI brains developed at ORU since the establishment of this research direction in 1997 and take a speculative peek into the future.

11:45–12:00 – Discussion and wrap-up

Speakers

Matteo Iovino

Matteo Iovino is the project manager for the Wallenberg Autonomous Systems Program (WASP) Research Arena Robotics and a researcher at ABB Corporate Research. Matteo graduated with a PhD in Robotics from KTH in June 2023. His thesis and research work has centered around using behavior trees for representing robot programs, especially using machine learning and in a collaborative robotics setting.

Urban Wikman

Urban Wikman is Director of Business Development at Algoryx Simulation, focusing on research and development work bridging simulation tools, AI and Machine learning. Urban has a long experience in developing and deploying simulation solutions for a wide range of industries, with recent work on deploying simulation in aid of training machine learning agents.

Yuxuan Yang

Yuxuan Yang is a postdoctoral fellow at the Autonomous Mobile Manipulation lab at Orebro University, working on automation solutions for underground mining robotics. His PhD work centered on using machine learning to represent deformable objects, with a focus on cables and ropes. Yuxuan has developed both control and perception algorithms for deformable objects, and has a long experience of training AI systems in simulation and deploying them to real-world problems.

Martin Magnusson

Martin Magnusson is an Associate Professor in Computer Science and head of the Center for Applied Autonomous Sensor Systems at Orebro University which employs over 70 researchers in AI and Robotics. Martin has a long history of developing perception algorithms for a variety of robotics applications and has been involved in much of the groundbreaking scientific work to come out of AASS in the past 25 years.

Day: Wednesday afternoon, 16 October

Place: Innovasalen in Labbet

Theme hosts: Marcus Krantz, researcher in biomedicine, and Pedro Zuidberg dos Martires, associate senior lecturer in computer science.

Language: Swedish and English

Meet researchers working at the common frontier of AI and health(care).

We're offering a forum to meet researchers working on improving health and healthcare using AI. Meet and discuss with these researchers in an exhibition presenting current projects at Örebro University and/or Örebro University Hospital (USÖ).

In parallel, there will be three introductory lectures: two in Swedish and one in English. Lectures and seminars are open to all. You can attend a theme in its entirety or in part – choose the sessions that interest you. No registration is needed.

Program

13:00–18:00 – Forum: AI in Health and Healthcare. In the forum, you will meet researchers who work with predictive health monitoring, medical image analysis, and cell simulation to improve explanatory and predictive power and AI education for future health professionals. (Visual Lab, labbet)

During the afternoon, we offer an introductory and overview lecture at three different times:
13:15 – Lecture (Swedish): AI in Health and Healthcare (Innovasalen, labbet)
15:15 – Lecture (English): AI in Health and Healthcare (Innovasalen, labbet)
17:15 – Lecture (Swedish): AI in Health and Healthcare (Innovasalen, labbet)

Speaker

Marcus Krantz

Researcher in Systems Biology at the School of Medical Sciences and the Inflammatory Response and Infection Susceptibility Centre (iRiSC) since 2022. He was previously a junior group leader at the Humboldt-Universität zu Berlin, where he developed rxncon, the reaction-contingency language for building and modelling large-scale signal transduction networks. His research focusses on understanding how cells process information and how they use the information to reach decisions, for example to divide or to halt the cell division cycle depending on internal and external signals.

Day: Thursday morning, 15 October

Place: Labbet

Theme host: Carolina Wittenfelt, project leader

Language: Swedish and English

Participants of this seminar will experience how AI can be used in artistic expression and creativity. All lectures and seminars are open, and no registration is required. You do not need to attend the entire theme, but can choose the sessions that interest you.

Program

09:00–09:30 - Multimodal AI – When AI uses all of its Sense with Amy Loutfi, professor of computer science (English)

09:30–10:00 - AI's impact on music creation. At the School of Music, discussions will focus on how music creators can approach AI. Anders Ekman and Peter Knudsen, senior lecturers at the School of Music, will provide various perspectives on how AI influences the profession and the creative process. (Swedish)

10:30–11:00 - A panel discussion on AI, art, and creativity delves into how artificial intelligence is reshaping the creative landscape. Experts from diverse fields explore the intersections between human creativity and AI-driven tools. The discussion addresses innovation, the evolving role of artists, ethical implications, and the future of creativity in a world where machines can generate art. Attendees will gain insights into both the potential and challenges of AI in the arts. With Amy Loutfi, Science and Technology, Anders Ekman, Music, Theatre and Art, Anders Björkvall, Humanities, Education and Social Sciences, and Anders Crichton-Fock, School of Hospitality, Culinary Arts and Meal Science. (Swedish)

11:00–12:00 - "Whose Alter Ego?" with Jessica Andrenacci. A dance performance where a dancer and a robot interact on stage to question the identity of both the human and the robot, as well as their relationship. Is the robot the dancer's alter ego, or vice versa? Followed by a discussion on the collaboration within the project. (in English)

Participants

Amy Loutfi

Amy Loutfi is professor of computer science at Örebro University and leads the research group AASS Machine Perception and Interaction Lab. Her research includes machine perception, where AI methods such as machine learning are used for interpreting sensor data, as well as human-robot interaction using both fully autonomous and remotely controlled robots.

Anders Ekman

Anders Ekman teaches songwriting, music production, arranging, composition, music theory, ear training, and musicology at the School of Music. He is an active composer, arranger, and musician, having written and arranged for several orchestras, ensembles, and projects in Sweden, as well as performed in various constellations and genres both in Sweden and internationally.

Peter Knudsen

Peter Knudsen holds a teaching degree in African American tradition from the Academy of Music and Drama in Gothenburg, as well as a Master's in jazz music from the Royal College of Music in Stockholm. In his master’s thesis, "Sagas of the Present" (2013), he explores the creative process of composing and arranging music for a jazz octet.

Jessica Andrenacci

Jessica was born in Porto San Giorgio, Italy, and studied at the Music, Art & Show Institute, an interdisciplinary higher education institution for performing arts in Milan. Today, she freelances and works as a dancer, including with magma dance, choreographer Helena Franzén, and Gala Dance Bergslagen, choreographer Ellinor Ljungkvist. Foto: AnnMari Skrifvare.

Pepper

Pepper is a social robot designed to interact with humans through voice recognition and facial expressions. Foto: Peter Nitsche.

Day: Thursday afternoon, 15 October

Place: Labbet

Language: Swedish and English

The seminar will showcase how Örebro University's research in AI can benefit and collaborate with our partners. The lecture will feature representatives from Örebro University's strategic partners, including Epiroc, Saab, and SCB. You will also have the opportunity to meet several partners at the mini-exhibition and hear about concrete examples. All lectures and seminars are open, and no registration is required. You do not need to attend the entire theme, but can choose the sessions that interest you.

Program

12:30–17:00 - Mini fair in Visual Lab. Explore concrete examples of collaboration.
Exhibitors:
Electrification Hub.
Visual Lift.
Örebro airport.
A Connected Örebro.
Innovation office and Entrepreneur in Residence.
Industrial PhD Students in Collaboration with Strategic Partners.
Student Assignments and Research Assignments.
Smarter - AI courses for professionals

14:15–14:30 - The Collaboration Platform in AI and Robotics, with Camilla Ulvmyr. (Swedish)

14:30–15:00 - Swedish Metals and Minerals, with Lotta Sartz, Örebro University, and Mikael Ramström, Epiroc. (Swedish)

Break

15:30–16:00 - AI.ALL, with Anna Töndel, Örebro University, and collaboration partners. (Swedish)

16:00–16:30 - SCB + Örebro University = Balsam, with Andreas Persson, Örebro University, and Jakob Engdahl, SCB. (Swedish)

16:30–17:00 - Panel discussion, moderator Amy Loutfi. (Swedish)

Speakers

Camilla Ulvmyr

Camilla Ulvmyr leads the operations of the collaboration platform AI Impact Lab at Örebro University. Camilla also serves as the node manager for Örebro within AI Sweden. AI Impact Lab is Örebro University's collaboration platform for AI, artificial intelligence, aimed at bringing together academia, businesses, and public organizations to accelerate knowledge transfer and the implementation of AI.

Lotta Sartz

Lotta Sartz is a project manager at Örebro University and is responsible for Swedish Mining Innovation Bergslagen. She has previously worked with research and teaching in chemistry, with a focus on mining, metals, and minerals. Lotta has experience in projects related to the remediation of mining waste and extraction from secondary raw materials. She is also committed to increasing interest in science education in schools and promoting an understanding of the need for metals and minerals.

Anna Töndel

Anna Töndel is a project coordinator at Örebro University and works closely with cutting-edge research in the field of AI and robotics. Anna manages various projects aimed at accelerating the use of AI in society. AI Impact Lab is a collaboration platform that enhances the region's development in artificial intelligence by serving as a hub where businesses and the public sector gain access to the latest AI knowledge. Anna’s role here is to lead the regional development project AI.ALL.

Andreas Persson

Andreas Persson is a researcher in machine perception and interaction at AASS at Örebro University. He completed his doctoral studies in 2019 and earned his PhD in Information Technology by defending his thesis on the topic of semantic modeling of real-world objects using perceptual anchoring. In addition to perceptual anchoring, Andreas' research interests include knowledge representation, human-robot interaction, machine learning, and computer vision.

Project leader

Carolina Wittenfelt

Position: Communications Officer School/office: Executive Office

Profile page: Carolina Wittenfelt

Email: Y2Fyb2xpbmEud2l0dGVuZmVsdDtvcnUuc2U=

Phone: +46 19 303267

Room: E3122