*The Fifteenth International Conference on Indoor Positioning and Indoor
Navigation (IPIN 2025)*
15th -18th September 2025 | Tampere (Finland)
We are excited to announce our keynotes for IPIN 2025
*New High-Precision Local Positioning System*
🎤 Kari Leppänen, CEO & Founder, Koherent (Finland)
🗓 Monday, September 15th, 14:00-15:00 in Maestro Room
A new local positioning technology, based on radio interferometry in the 5
GHz band and capable of reaching even 0.1mm precision, is introduced. The
technology and its capabilities are described. The possible applications
ranging from monitoring of large structures to 3D positioning in smart
cities are introduced. Finally, the possible future role of local
positioning systems as opposed to global positioning is discussed.
Kari Leppänen, D. Tech., is the CEO and founder of Koherent, the provider
of the most accurate radio positioning technology in the world. Before
focusing fully on Koherent in 2020, he used to work in the field of radio
astronomy at Aalto University, National Radio Astronomy Observatory (U.S.)
and Joint Institute of VLBI in Europe (the Netherlands) as well as in
wireless communication at Nokia, Huawei and University of Oulu (Professor
of Practice in 6G Flagship Programme).
*Toward Seamless Navigation for Visually Impaired People: Personalized Gait
Learning and Smartphone-Based Guidance*
🎤 Prof. Valérie Renaudin, Gustave Eiffel University, France
🗓 Tuesday, September 16th, 9:00-10:00 in Maestro Room
Ensuring safe and independent mobility for visually impaired people
requires positioning technologies that are both robust and adaptive to
individual users. Within the INMOB Labcom project, we developed innovative
approaches that not only fuse inertial sensors with environmental features
extracted from maps through Bayesian techniques, but also exploit
artificial intelligence to learn each user’s own walking pattern. By
modeling gait characteristics directly from personal data, the system
achieves individualized and more reliable step detection and trajectory
reconstruction, even under real-life conditions. We will also share results
from live demonstrations with two visually impaired participants guided for
eight minutes in the city center of Nantes without GPS, illustrating the
feasibility and impact of this technology. This keynote will present the
scientific advances behind this approach, the challenges of integrating
personalized AI models into smartphone-based guidance and the path toward
assistive technologies that combine inclusivity, accuracy and user-centered
design.
Valérie Renaudin is a Professor at Gustave Eiffel University, France. She
obtained an MSc degree in Geomatics Eng. in 1999, and a PhD in Computer,
Communication, and Information Sciences at l'Ecole Polytechnique Fédérale
de Lausanne (EPFL) in 2009. Her international career includes positions
such as the Technical Director of Swissat in Switzerland, where she
pioneered real-time positioning solutions, and a Senior Research Associate
at the University of Calgary in Canada. As the Geopositioning Laboratory
(GEOLOC) leader at Gustave Eiffel University, Valérie has cultivated a team
of experts specializing in positioning and navigation for soft mobility
modes for travelers and vulnerable users. Her research centers on
indoor/outdoor navigation methods, integrating GNSS, inertial, and magnetic
data to enhance sustainable personal mobility, particularly for
pedestrians. In 2021, she founded nav4you, a company dedicated to
developing location-based services for the safety of firefighters. Valérie
is also the founding Editor-in-Chief of the IEEE Journal of Indoor and
Seamless Positioning and Navigation (J-ISPIN) and a steering committee
member of the Indoor Positioning Indoor Navigation (IPIN) international
conference, underscoring her commitment to shaping the future of geomatics
and navigation on a global scale.
*Channel Charting for Robust and Versatile Pseudo-Positioning*
🎤 Professor Olav Tirkkonen, Aalto University, Finland
🗓 Wednesday, September 17th, 9:00-10:00 in Maestro Room
Olav Tirkkonen is full professor in communication theory at Aalto
University, Finland, where he has held a faculty position since 2006. He
received his M.Sc. and Ph.D. degrees in theoretical physics from Helsinki
University of Technology in 1990 and 1994, respectively. After
post-doctoral positions at UBC, Vancouver, Canada,and NORDITA, Copenhagen,
Denmark, he was with Nokia Research Center (NRC), Helsinki, Finland from
1999 to 2010. In 2016-2017 he was Visiting Associate Professor at Cornell
University, Ithaca, NY, USA. He has published some 300 papers, and is the
inventor of some 85 families of patents and patent applications which
include 1% of all patents declared essential for the first standardized
version of 4G LTE. His current research interests are in coding for random
access and quantization, quantum computation, and machine learning for
cellular networks. He is a fellow of IEEE and the Asia-Pacific Artificial
Intelligence Association. He served as General Chair of 2022 IEEE
International Symposium on Information Theory, and currently acts as the
chair of the Executive Editorial Committee of IEEE Transactions on Wireless
Communications.
*From 5G NR Positioning to 6G: Standardization, AI/ML Integration, and
Future Challenges*
🎤 Dr. Muhammad Ikram A., Team Leader at Nokia, Finland
🗓 Thursday, September 18th, 9:00-10:00 in Maestro Room
In the rapidly evolving landscape of wireless communication, positioning
technology has emerged as a pivotal feature, transforming how we interact
with the world around us. This keynote will delve into the evolution of
wireless positioning from 5G to the anticipated advancements in 6G,
highlighting the standardization efforts that are shaping this journey. We
will explore the progression of 5G New Radio (NR) positioning, which has
significantly enhanced accuracy and reliability for both indoor and outdoor
applications. The presentation will address the evolving requirements and
use cases that have driven these advancements, focusing on key metrics such
as latency and horizontal positioning error. As we transition towards 6G,
the keynote will discuss the integration of AI and machine learning (ML) in
positioning systems, which promises to overcome challenges in
non-line-of-sight (NLOS) scenarios and enhance accuracy to centimeter-level
precision. Furthermore, the talk will briefly discuss the future challenges
and directions in the field, including the adaptation of ML-based
solutions, bandwidth aggregation, and the emergence of new devices with low
power high accuracy requirements. The session will conclude with insights
into the ongoing 3GPP standardization efforts, particularly in Release 19
and beyond, setting the stage for the next generation of wireless
positioning technologies.
Dr. Muhammad Ikram Ashraf is a technology leader with over 15 years of
experience in wireless communications, IoT, and AI/ML for next-generation
networks. He holds a Ph.D. in Communication Engineering from the University
of Oulu. At Nokia, Dr. Ikram leads strategic initiatives in 5G/6G
standardization, AI/ML-driven air interface design, NR positioning,
ultra-reliable low-latency communications, NTN, and industrial IoT. He has
played a pivotal role in shaping wireless positioning standards,
contributing across multiple 3GPP Releases with driving advancements in
AI/ML-driven positioning, and is actively steering the evolution of
positioning technologies towards 6G. His work bridges innovation and
commercialization, backed by number of granted patents, 50+ publications,
and active contributions to 3GPP standardization, along with global
collaborations with Ericsson, Nokia Bell Labs, and leading universities.
🌍 Join us at IPIN 2025 to gain insights into
- shaping the future of high-precision positioning technology;
- the future of inclusive, accurate, and user-centered navigation
technologies;
- groundbreaking work bridging communication theory, AI, and positioning
technologies;
- and the future of wireless positioning from one of the key
contributors driving the path toward 6G.
See you in Tampere in 10 days!
*Important Dates for IPIN 2025*
Offsite Competition: 08-10 September 2025
Onsite Competition: 13-14 September 2025
Conference Dates: 15-18 September 2025
Please find more details at https://ipin-conference.org/2025/ or contact
ipin2025(a)lists.tuni.fi
Looking forward to meeting you at IPIN2025 in Tampere!
The Fifteenth International Conference on Indoor Positioning and Indoor
Navigation (IPIN 2025)
*The Fifteenth International Conference on Indoor Positioning and Indoor
Navigation (IPIN 2025)*
15th -18th September 2025 | Tampere (Finland)
The fifteenth edition of the International Conference on Indoor Positioning
and Indoor Navigation (IPIN 2025) is taking place in Tampere Hall,
Yliopistonkatu 55, Tampere, Finland. IPIN2025 will be organized by Tampere
University, in full in-person mode.
We are excited to share that the final programme:
https://ipin-conference.org/2025/prog_detailedprogramme.html
Monday is devoted to the tutorials (Creating Data-Driven Models for
Predicting Localization Failures for Mobile Robots, and From RSS to XYZ:
Building Machine Learning Pipelines for Indoor Localization Using Python),
conference opening, and the WCAL workshop with 28 poster presentations. The
18 main sessions will take place on Tuesday and Wednesday, with a total of
60 Regular papers. Thursday will bring the results of the competition and
conference awards. We have Keynote Speeches every day from Monday to
Thursday, featuring Kari Leppanen (CEO of Koherent), Valerie Renaudin
(Professor at Gustave Eiffel University, France), Olav Tirkkonen (Professor
at Aalto University, Finland), and Ikram Ashraf (Team Lead at Nokia,
Finland). The social events cover Monday, Tuesday, and Wednesday evenings.
*Tutorial 1: "Creating Data-Driven Models for Predicting Localization
Failures for Mobile Robots"*
Localization failures in dynamic, ambiguous, or feature-poor environments
can cause disruptions and safety hazards. Traditional probabilistic methods
(like particle filters) help manage uncertainty, but they cannot predict
failures before they happen.
This tutorial introduces a data-driven approach to predicting localization
failures before they occur, using: 1) NVIDIA Isaac Sim to generate diverse
training datasets (LiDAR, IMU, localization streams, ground-truth poses).
2) Flowcean, a flexible framework that extends ML libraries with high-level
abstractions and ROS 2 integration. 3) Live demonstrations comparing robot
navigation performance with and without predictive capabilities.
This tutorial will be led by:
- Markus Knitt – Doctoral researcher at Hamburg University of Technology
(TUHH), with expertise in robot localization, pose estimation, and
open-source modular robot platforms.
- Sean Maroofi – Research associate at TUHH, focusing on robot control,
machine learning, and development of localization datasets for warehouse
and urban robotics.
By the end of this tutorial, participants will walk away with practical
tools and insights to build predictive models that make autonomous
navigation safer, more reliable, and resilient.
*Tutorial 2: "From RSS to XYZ: Building Machine Learning Pipelines for
Indoor Localization using Python"*
Artificial intelligence is everywhere – from daily life applications to
advanced research. While deploying ML models has become easier than ever,
expert knowledge and fine-tuning can significantly boost performance. This
tutorial aims to showcase how different ML models can be applied at
multiple levels of expertise, helping researchers effortlessly build and
validate their ideas.
This tutorial will be led by Roman Klus, Doctoral Researcher at Tampere
University, Finland, who is defending his PhD thesis on September 5th.
Roman’s research spans:
- Machine learning for 5G and beyond
- Neural networks for mobility management and wireless positioning
- Neural transmitters for enhanced signal characteristics
- Generative models & LLMs for RF fingerprint identification
His journey includes an M.Sc. in Electronics & Communications from Brno
University of Technology (2019), along with international research stays at
Jaume I University (Spain) and UCLA (USA), where he worked on indoor
localization, mmWave systems, and published impactful datasets and papers.
This promises to be an insightful session bridging AI, wireless
communication, and localization research.
*Important Dates for IPIN 2025*
Offsite Competition: 08-10 September 2025
Onsite Competition: 13-14 September 2025
Conference Dates: 15-18 September 2025
Please find more details at https://ipin-conference.org/2025/ or contact
ipin2025(a)lists.tuni.fi
Looking forward to meeting you at IPIN2025 in Tampere!
The Fifteenth International Conference on Indoor Positioning and Indoor
Navigation (IPIN 2025)
