جست‌وجوی استاد و پژوهشگر

• Wireless Communications
• Coding Theory
• Quantum Information Processing
• +۵ مورد دیگر

Olav Tirkkonen serves as a Full Professor in the Department of Communications and Networking at Aalto University, Finland, a position he has held since August 2006. He leads the Communication Theory research group, driving innovation in wireless communication systems. His academic journey includes a distinguished career spanning industry and academia, with significant contributions to 3G, 4G, and 5G technologies. His educational qualifications are: Doctor of Science (Ph.D.) in Theoretical Physics, Helsinki University of Technology, 1994 Master of Science (M.Sc.) in Theoretical Physics, Helsinki University of Technology, 1990 Professor Tirkkonen's research interests are centered on wireless communications, with a focus on physical layer processing, coding theory, and quantum information processing. His group explores advanced topics including 5G and beyond wireless networks (spectrum management, large-scale MIMO, ultra-reliable low-latency communication), network-level interference coordination, collaborative caching, machine learning applications for wireless channel geography, coding on manifolds, and quantum communication systems. This research bridges fundamental theory with practical implementation in next-generation wireless networks. Analysis of his recent publications (2024-2025) indicates a predominant focus on machine learning techniques for wireless channel modeling (channel charting), pilot allocation in MIMO systems, and quantum error correction. His work is instrumental in addressing key challenges in 5G/6G networks, particularly in scenarios demanding ultra-reliability, low latency, and efficient resource utilization. His scientific contributions include: Co-inventor of approximately 80 families of patents and patent applications Co-author of the book "Multiantenna transceiver techniques for 3G and beyond" Throughout his career, Professor Tirkkonen has mentored numerous graduate students and secured substantial research funding from various sources. His industry experience at Nokia Research Center (1999-2010) and visiting position at Cornell University (2016-2017) have enriched his research perspective and fostered strong industry-academia collaborations. The Communication Theory group, under his leadership, maintains active collaborations with leading institutions and companies worldwide, positioning Aalto University at the forefront of wireless communications research.

• Computer Vision
• Machine Learning
• Deep Learning
• +۶ مورد دیگر

Esa Rahtu is a Professor in the Department of Computer Science at Aalto University, Finland. His research focuses on computer vision, machine learning, and deep learning applications. He leads projects in image coding, neural networks, 3D reconstruction, object pose estimation, and anomaly detection. Rahtu has contributed to over 98 research outputs since 2017, with recent work emphasizing Gaussian splatting for SLAM, neural radiance fields, and hybrid video codecs for human-machine compatibility. His expertise spans visual-inertial odometry (e.g., ADVIO dataset), LiDAR-based place recognition, and manufacturing quality control systems. Key areas include: 3D scene reconstruction using Gaussian splatting techniques Deep learning models for anomaly detection in industrial processes Hybrid video codecs optimizing human perception and machine processing Multi-sensor fusion for robotic navigation and indoor mapping Notable datasets include ADVIO for visual-inertial odometry and FIORD for 3D reconstruction benchmarking. His research aligns with UN SDG 9 (Industry, Innovation & Infrastructure) and SDG 4 (Quality Education) through advancements in smart manufacturing and educational technology. Rahtu has received continuous research funding, including a grant period from April to June 2018. His work emphasizes practical applications, collaborating on real-world challenges like paper manufacturing quality control and smartphone-based 3D reconstruction.

• Video Coding
• Machine Learning
• FPGA Acceleration
• +۳ مورد دیگر

Jarno Vanne is a Professor at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences at Tampere University. His research focuses on video coding standards, real-time systems, and hardware acceleration, particularly in the context of FPGA implementations and open-source tools. He leads projects involving VVC (Versatile Video Coding), V-PCC (Volumetric Video Coding), and HEVC (High Efficiency Video Coding), with an emphasis on efficiency, low latency, and machine learning integration. Key research interests include point cloud compression, saliency-guided encoding, parallelization schemes, and real-time video communication protocols. His work often addresses challenges in multi-party video streaming, embedded systems, and encryption mechanisms for privacy protection. He has contributed to open-source projects like the UVG dataset, Kvazaar encoder, and CiThruS simulation frameworks. Recent publications highlight advancements in VVC intra encoding optimizations, machine learning-driven partitioning schemes, and FPGA-accelerated solutions for edge computing. His research bridges theoretical video coding algorithms with practical implementations, aiming to improve compression efficiency while maintaining real-time performance.

• Sound and Music Computing
• Music technology
• Artificial intelligence
• +۸ مورد دیگر

Koray Tahiroglu is a University Lecturer at Aalto University's School of Arts, Design and Architecture, specializing in Sound and Music Computing. His work bridges artificial intelligence, digital musical instruments, and embodied interaction, with a focus on deep learning applications in audio synthesis and human-AI creative collaboration. His research explores New Interfaces for Musical Expression (NIME), sonic interaction, and physical computing. He collaborates with SOPI Research Group and Google Brain Team (Magenta) on AI-driven artistic innovation. Recent Publications : 2024 studies on dance-sound cross-correlation and intra-action frameworks; 2023 work on AI-terity and deep learning syllabi; 2022 explorations of GAN synthesis, musical expectations, and lifeworld sonification. Scientific Awards : Co-Creative Artificial Intelligence of Music (2022) 2010 grant for scientific publications and artistic activities 2017 Honorable Mention for mobile cultural heritage research Tahiroglu contributes to digital art education and leads projects at Media Lab Helsinki, advancing sonic interaction and generative audio systems.

• Artificial Intelligence
• Machine Learning
• Signal Processing
• +۶ مورد دیگر

Moncef Gabbouj is a Professor of Signal Processing at the Department of Computing Sciences, Tampere University, Finland. He holds a PhD from Purdue University and has held academic positions including Academy of Finland Professor (2011–2015) and Head of the Department of Signal Processing (2002–2007). His research focuses on artificial intelligence, machine learning, multimedia signal processing, and nonlinear signal/image processing. He has authored over 800 papers and supervised 64 doctoral and 72 master’s theses, earning accolades such as IEEE Fellow, Finnish Cultural Foundation Award, and TUT Foundation Grand Award. Education: BS (Electrical Engineering, Oklahoma State University, 1985), MS and PhD (Electrical Engineering, Purdue University, 1986–1989). Visiting roles include Hong Kong University of Science and Technology and University of Southern California. Research interests include Big Data analytics, multimedia content analysis, pattern recognition, and video coding. He leads the Artificial Intelligence Research Task Force of the Research Alliance on Autonomous Systems (RAAS) and directs the NSF IUCRC Center for Visual and Decision Informatics (CVDI). Awards highlight contributions to signal processing and AI, including IEEE Fourier Award Committee membership and leadership roles in EURASIP and IEEE. Grants and projects span EU Horizon programs, NSF, and industry collaborations.

Hanna-Riikka Roineمشاهده پروفایل

استاد مدعو

• Speculative Fiction
• Narrative Theory
• Digital Media
• +۶ مورد دیگر

Hanna-Riikka Roine is a Principal Investigator at Narrare: Centre for Interdisciplinary Narrative Studies at Tampere University, leading the Kone Foundation-funded project Imagine, democracy! (2023–2025). She holds a docent title in Contemporary Culture from the University of Jyväskylä (2023) and a PhD in Contemporary Culture from the University of Tampere (2016). Her research focuses on speculative fiction, narrative theory, digital media, and game studies, particularly examining the intersections of imagination, democracy, and computational technologies. She serves as Editor-in-chief of Kirjallisuudentutkimuksen aikakauslehti Avain (2023–2024). Current Project: Investigates how narrative fiction shapes democratic imagination in Finland Prior Work: Explored human-computer entanglements in speculative narratives (Academy of Finland-funded CO-SPEC project, 2020–2023) Key Expertise: Worldbuilding, digital ecologies, and ethical dimensions of speculative storytelling Her research spans over 38 publications, including peer-reviewed articles, book chapters, and edited volumes. Recent work emphasizes democratic narratives, digital environments, and interdisciplinary narrative methodologies.

• Video Coding
• Machine Learning in Video Compression
• Energy-Efficient Encoding
• +۳ مورد دیگر

Alexandre Mercat is an Assistant Professor in the Department of Computer Engineering at Tampere University, within the Faculty of Information Technology and Communication Sciences. His research focuses on video coding, energy-efficient encoding, and real-time multimedia systems. He leads projects on open-source video encoders and standards, including contributions to HEVC, VVC, and V-PCC technologies. His work emphasizes machine learning integration, low-power hardware optimizations, and scalable distributed encoding frameworks. Key technical interests include improving video compression efficiency through algorithmic innovations, developing open-source tools like the UVG dataset and Kvazaar encoder, and addressing challenges in volumetric video communication and 3D point cloud encoding. His research spans theoretical algorithm design to practical implementations, with applications in virtual reality, live streaming, and edge computing. Recent projects include real-time saliency-guided video coding frameworks, energy reduction techniques for HDR streaming, and multi-layer VVC coding schemes for hybrid machine-human consumption. He also explores FPGA acceleration and parallelization strategies for distributed video encoding systems. No scientific awards are explicitly mentioned in the provided texts. While no formal advisees are listed, his research group likely involves students through open-source development and collaborative projects. His work integrates closely with industry standards bodies and open-source communities, emphasizing reproducible evaluation frameworks and end-to-end software tools.

• System-on-Chip (SoC) Design
• FPGA-Based High-Level Synthesis
• Real-Time Embedded Systems
• +۵ مورد دیگر

Timo Hämäläinen is a Professor of Computer Engineering at Tampere University, leading the Unit of Computing Sciences within the Faculty of Information Technology and Communication Sciences. He is a core member of the System-on-Chip research group and the Computer Engineering Team, actively contributing to the System-on-Chip Hub initiative. His research focuses on System-on-Chip (SoC) design methodologies, FPGA-based high-level synthesis, real-time embedded systems, and open-source hardware-software co-design frameworks like RISC-V and HEVC encoding. He has pioneered work on agile SoC development processes and validation techniques for large-scale hardware systems. Key research areas include: High-level synthesis (HLS) optimization for FPGAs Real-time processor architectures and context-switching latency reduction Formal verification of IP-XACT-compliant SoC designs Resilient RISC-V MPSoC implementations Hardware-accelerated algorithms for signal processing and networking His recent publications (2023-2025) emphasize agile SoC development frameworks, hardware-software co-design for real-time systems, and validation methodologies for large-scale embedded systems. He has contributed to open-source projects like Kvazaar HEVC encoder and the Kactus2 IP-XACT toolchain. Academic advising includes students such as Santéri Mäki-Äijö (formal verification), Arto Oinonen (RISC-V tooling), and Sakari Lahti (processor modeling). His work integrates academic research with industrial collaboration through frameworks like the Fault-slip-Through quality assessment methodology.

• Robot Vision
• Robot Learning
• Computer Vision
• +۵ مورد دیگر

Joni Kämäräinen is a Professor of Signal Processing at Tampere University’s Computing Sciences department under the Faculty of Information Technology and Communication Sciences. He leads the Vision Group and has a tenure-track career at Tampere University since 2012, achieving full professorship in 2020. Prior, he conducted postdoctoral research at the University of Surrey’s Center of Vision, Speech and Signal Processing and held a faculty position at LUT University. His research spans robot vision and robot learning , focusing on computer vision and machine learning applications. Key applied projects address industrial collaboration with Huawei, Nokia Technologies, and others, emphasizing robust visual perception, autonomous systems, and depth sensor integration. Notable work includes long-term visual place recognition, RGB-D tracking, and color constancy solutions. Recent publications (2023–2025) reflect expertise in digital twins for industrial manipulators, probabilistic subgoal modeling, depth-aware video deblurring, and LiDAR-place recognition datasets. His team’s outputs bridge robotics, AI, and signal processing, with interdisciplinary impacts in healthcare and autonomous navigation. Teaching responsibilities include graduate and doctoral colloquia, and the textbook Koneoppimisen perusteet (2023) . Funding sources include the Academy of Finland, EU Horizon 2020, Business Finland, Huawei, and Nokia Technologies.

Zheying Zhangمشاهده پروفایل

مدرس

• Requirements Analysis
• Domain Modelling
• Quality Assurance
• +۱۰ مورد دیگر

Zheying Zhang is a Lecturer at Tampere University within the Faculty of Information Technology and Communication Sciences , Department of Computing Sciences . She holds a Ph.D. in Computer Science and Information Systems from the University of Jyväskylä (2004) and was awarded a Docent (Adjunct Professor) title in Software Development from the University of Tampere (2013). Education: Ph.D. (2004), Docent (2013) Her research focuses on Requirements Engineering , with specific interests in Requirements Analysis Domain Modelling AI-Assisted Requirements Management Software Quality Assurance Process Improvement Data-Driven Software Development Medical Device Software Current Master's thesis topics include AI for Software Engineering, DevOps pipelines, and cross-disciplinary software ethics. Recent publications highlight trends in AI applications for requirements management, software evolution analysis , and accessibility testing . She actively supervises PhD candidates like Xiaozhou Li and Wenhui Lu, with works spanning open-source projects and medical software quality. Scientific Contributions: 54 research outputs (2003-2025), including 3 2025 conference papers

Eeva Haatajaمشاهده پروفایل

مدرس

• Mathematics education
• Educational Sciences
• Teacher professional development
• +۶ مورد دیگر

Eeva Haataja is a University Lecturer at the Department of Educational Sciences, University of Helsinki. She supervises doctoral students in the Doctoral Programs for School, Education, Society and Culture, and Cognition, Learning, Teaching and Communication. Her teaching focuses on mathematics didactics for classroom and special education teacher students. Role: University Lecturer Supervision: Doctoral Programs in Education Department: Educational Sciences University: University of Helsinki Research Interests Haataja investigates primary school students' mathematics motivation and teachers' professional development using multi-method approaches. Her work explores nonverbal teacher-student interactions through physiological measurements like eye tracking and EDA, emphasizing collaborative problem-solving and classroom dynamics. Recent studies focus on: Teacher beliefs and professional growth Visual attention in co-teaching Ecological validity of eye-tracking data Impact of socioeconomic factors on mathematical competence Authentic assessment and epistemic agency Admission methodologies (MMIs) in teacher education Article Trends Her publications center on mathematics education, teacher-student interactions, and technological integration (eye tracking). Key themes include collaborative learning, cognitive processes, and emotional factors affecting educational outcomes. Recent works analyze scaffolding techniques, measurement methodologies, and pandemic impacts on learning. Projects Co-teaching visual attention (2025) MathTrack (2016–ongoing, Academy of Finland) MATHMot - Suomi (2020–2024, Norwegian Research Council) Language learning behavior (2023–2024) Activities Haataja actively participates in academic events, including presentations (e.g., “Exploring reciprocal visual interaction” 2025, “Interpersonal theory workshop” 2024) and committee roles in Finnish Educational Research Association and FERA. She organizes conferences and seminars on mathematics education and teaching methods.

Anna Katariina von Zansenمشاهده پروفایل

عضو هیئت علمی

• Computer-assisted language testing
• Educational technology
• Language assessment
• +۸ مورد دیگر

Anna Katariina von Zansen is a University Researcher at the Faculty of Education, University of Helsinki . She leads the AASIS project (Research Council of Finland, 2023–2027), focusing on automated assessment of oral interaction for Finnish L2 learners. Her research explores non-verbal features like gaze and gestures in language testing, integrating educational technology and multimodal analysis . Research Interests : computer-assisted language testing, language assessment, educational technology, multimodality, L2 listening and speaking, Many-facet Rasch measurement, non-verbal cues. Collaborations : Helsinki Institute for Social Sciences and Humanities, AFinLA network, international AI and linguistics teams. Selected Publications analyze automated speaking assessment (Interspeech 2024), multimodal L2 interaction (Ainedidaktisia näkökulmia 2024), and non-verbal communication in language testing (Acta Psychologica 2024). She co-developed the DigiTala tool for oral language evaluation. Scientific Awards : Recipient of the Kari Sajavaaran tunnustuspalkinto (2020) for outstanding applied linguistics research. Her work contributes to language pedagogy and digital assessment frameworks . Contact : anna.vonzansen@helsinki.fi (on parental leave until January 1, 2026; interim contact: Raili Hilden).

Jorma Laaksonenمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Jorma Laaksonen is a Senior Lecturer at the Department of Computer Science, Aalto University (School of Science). His research focuses on artificial intelligence, machine learning, computer vision, and multimedia systems, with notable contributions to cross-lingual evaluation, hyperspectral imaging, and audio-visual attention mechanisms. He holds a Doctoral degree in Engineering and Technology from Helsinki University of Technology (1997). Education: Doctoral degree, Engineering and Technology, Helsinki University of Technology (1997) Licentiate degree, Engineering and Technology, Helsinki University of Technology (1991) Master's degree, Engineering and Technology, Helsinki University of Technology (1990) His research interests span AI-driven visual computing, human-computer interaction, and multimedia systems. Key projects include USSEE (audio-visual scene understanding) and ARTISDIG (AI for forest spectral analysis). He has published over 280 papers and supervised multiple theses. Awards include the IEEE Best Paper Award (2017) and Microsoft's Best Practice Award (2016). Recent work includes cross-cultural language modeling, efficient text-to-video retrieval, and open-world video instance segmentation. He leads the Lecturer Laaksonen Jorma group and actively participates in editorial roles and doctoral thesis evaluations.

• Human-Computer Interaction
• Augmented Reality
• User-Centered Design
• +۳ مورد دیگر

Antti Sand is a Lecturer in the Department of Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His research focuses on innovative interaction technologies, particularly mid-air gestural interfaces, haptic feedback systems, and their applications in education, healthcare, and daily life. He has contributed to projects like PigScape (a video game for ADHD cognitive training) and fogscreen interaction studies. Key research themes include: Mid-air gestural interaction design Ultrasound-based haptic feedback systems Child-friendly interaction technologies Multimodal sensory augmentation (food consumption, automotive) Unconventional display interfaces Recent work explores: ADHD intervention through gestural gaming Food consumption behavior modification using sensory technologies Driver safety via non-contact interaction systems Comparative studies of cross-platform mobile applications Publications span 2013–2025, with notable contributions to IEEE Xplore and ACM Digital Library. No scientific awards explicitly listed.

• Sociology
• Waste Studies
• Biogas
• +۳ مورد دیگر

Olli Pyyhtinen is a Professor at Tampere University's Unit of Social Research and a leading scholar in the Tampere Centre for Science, Technology and Innovation Studies. His work spans sociology, waste studies, and multispecies interactions, with a strong focus on posthuman critiques of waste and academic gift culture. Research Interests: Pyyhtinen's scholarship explores the affective dimensions of trash activism, conceptual containerology, and human-animal dynamics in therapeutic settings. His work engages with UN Sustainable Development Goals through Finnish social science perspectives and environmental ethics. Publications: Recent articles (2025) examine waste affect theory, academic gift economies, and multispecies therapy models. His research outputs consistently address societal challenges through innovative sociological frameworks. Academic Activities: Pyyhtinen has delivered keynote lectures at major conferences like Nordic STS (2019) and remains actively involved in doctoral supervision, editorial board memberships, and interdisciplinary collaborations across Europe.