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• Robotics
• Computer Vision
• Machine Learning
• +4 more

Francesco Verdoja is a Research Fellow at Aalto University's Department of Electrical Engineering and Automation, specializing in robotics and computer vision. His work focuses on safe trajectory generation, localization in dynamic environments, and visual-language semantic mapping. He actively contributes to the Intelligent Robotics research group and has received multiple accolades for his research. Research Interests : Robotics, Computer Vision, Machine Learning, Human-Robot Interaction Key Contributions : Visual-language maps, Dynamic environment modeling, Safer robot navigation frameworks Scientific Achievements : 2024 IEEE/RSJ IROS Best Safety Paper finalist 2022 Best Paper Award PhD scholarship from Sisvel Technology Academic GPU Grant (NVIDIA Titan Xp) Recent publications demonstrate strong emphasis on robotic perception and autonomous navigation , with applications in UAV localization, deformable object manipulation, and people flow prediction. Collaborations include work with Prof. Ville Kyrki and other robotics experts at Aalto University.

Ville PulkkiView profile

Professor

• Acoustics
• Signal processing
• Audio
• +1 more

Ville Pulkki serves as a Professor in the Department of Information and Communications Engineering at Aalto University, Finland, maintaining active research output evidenced by publications extending into 2025. His professional contact details include email (ville.pulkki@aalto.fi) and phone (+358505208392), confirming current institutional affiliation. His research expertise spans: Acoustics (particularly underwater and room acoustics) Signal processing for spatial audio systems Audio codec development and compression Spatial sound perception and localization Analysis of his 15 most recent publications reveals dominant research trajectories: underwater bioacoustics applications using spatial audio and 360° video for marine ecosystem monitoring; advanced spatial post-filtering techniques addressing noise reduction and source separation in complex acoustic environments; perceptually-optimized codecs for higher-order ambisonics compression; and fundamental investigations into sound localization challenges including median plane perception and standing wave interference. His work consistently bridges theoretical signal processing with practical applications in virtual reality, marine biology, and auditory perception. No scientific awards, fellowships, or major prizes are documented in the provided materials. While the source text confirms Professor Pulkki's active research status through ongoing publications, it lacks specific details regarding graduate student supervision, research grants, or laboratory leadership. His extensive publication record across diverse spatial audio domains suggests significant collaborative research activity and potential involvement in funded projects, though concrete evidence of advising relationships or grant management is absent from the available information. Similarly, no dedicated research laboratories, departmental teams, or institutional research groups under his direct leadership are mentioned in the source material, despite the technical depth of his work requiring substantial experimental infrastructure.

• Video Streaming
• Virtual Reality
• Multi-Access Edge Computing
• +3 more

Matti Siekkinen is a Lecturer in the Department of Computer Science at Aalto University. He is also affiliated with the Helsinki Institute for Information Technology (HIIT), the Professorship Di Francesco Mario, and the Computer Science Lecturers group. His research focuses on latency-critical mobile multimedia services, cloud-based virtual reality (VR), and edge computing solutions to optimize network performance and user experience. Education: Doctoral degree in Engineering and Technology (2007) from Université Côte d'Azur Master's degree in Engineering and Technology (2003) from Helsinki University of Technology Research Interests: His work emphasizes improving Quality-of-Experience (QoE) in mobile and cloud gaming, optimizing video streaming for VR applications, and deploying edge computing to reduce latency. Key topics include foveated rendering, dynamic resource allocation, and energy-efficient mobile service delivery. He has led projects such as CloudVR (2019–2020) and Latency-Critical Mobile Multimedia Services (2016–2019), which investigate network architecture and latency reduction strategies. Recent Research Trends: Recent publications highlight advancements in foveated compression techniques, head-pose prediction for remote VR, and neural network-based depth map packing. His work often bridges theoretical models with practical implementations in edge and cloud environments. Grants & Projects: Principal Investigator for CloudVR: High-Quality Mobile VR Using Cloud Acceleration (Business Finland) Principal Investigator for Latency-Critical Mobile Multimedia Services (Academy of Finland) Labs & Groups: He leads the Siekkinen Matti group, focusing on innovative solutions for mobile and cloud-based multimedia systems. Collaborations include Tsinghua University and industry partners like Elisa.

• Computational Imaging
• Compressed Sensing
• Signal Processing
• +5 more

Dr. Karen Eguiazarian is a Professor of Signal Processing at the Department of Computing Sciences , Tampere University . He leads the Computational Imaging research group and has served as head of the Signal Processing Research Community (SPRC) at Tampere University of Technology (2016-2018). Education: M.Sc. in Mathematics, Yerevan State University, Armenia (1981) Ph.D. in Physics and Mathematics, Moscow State University, Russia (1986) Doctor of Technology in Signal Processing, Tampere University of Technology, Finland (1994) His research focuses on Computational Imaging , Compressed Sensing , and Efficient Signal Processing Algorithms , with significant contributions to Image/Video Restoration and Compression . Recent work includes AI-driven phase imaging, hyperspectral reconstruction, and noise-robust algorithms for remote sensing and biomedical applications. Scientific Awards: Service Award from the Society for Imaging Science and Technology (IS&T) (2014) Honorary Doctoral Degree from Don State-Technical University, Russia (2015) Dr. Eguiazarian has supervised 25 doctoral theses and published over 650 papers. He serves as Editor-in-Chief of the Journal of Electronic Imaging and associate editor of the IEEE Transactions on Image Processing , while co-founding Noiseless Imaging Oy , a Tampere University spin-off.