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Jari Holopainen is a Senior Lecturer at the Department of Electronics and Nanoengineering , Aalto University. His work focuses on advanced antenna systems, wireless communication, and RFID technologies, with significant contributions to broadband, tunable, and wearable antenna designs. Current affiliation: Aalto University Academic role: Senior Lecturer Research interests span antenna design for mobile terminals, microwave engineering, and machine learning applications in RF systems. His publications highlight innovations in: Bluetooth antennas for metallic smartwatches and jewelry Wideband and dual-polarized antenna arrays RFID transponders with beam steering Machine learning-driven load optimization 3D-printed and capacitive-coupling antenna structures Wave propagation and scattering analysis Scientific contributions include: 15+ peer-reviewed articles (2025-2020) Collaborations with leading researchers in electromagnetics (e.g., Ville Viikari, Pertti Vainikainen)

• Antenna Design
• Wireless Communication
• RFID Technology
• +3 more

Jouni Paltakari is a Professor in Bioproducts and Biosystems at Aalto University. His research focuses on paper converting and packaging technology, with particular interest in value-added fiber-based substrates, nanocellulose applications, and intelligent packaging solutions. He leads research activities in material characterization, composite modeling, and sustainable manufacturing processes. Institution: Aalto University Department: Bioproducts and Biosystems Research Areas: Paper converting, Packaging technology, Nanocellulose, Sustainable composites Email: jouni.paltakari@aalto.fi

• Paper converting technology
• Packaging technology
• Fiber-based substrates
• +5 more

Erja Sipilä is a University Lecturer and Vice Dean for Education at the Faculty of Information Technology and Communication Sciences, Tampere University. She specializes in interdisciplinary research at the intersection of e-textiles, educational technology, and sensor systems. Her work includes developing wearable healthcare devices for swallowing movement analysis and advancing flipped learning methodologies in engineering education. She actively contributes to smart clothing innovation and RFID technology research, particularly in additive manufacturing applications. Her research focuses on practical solutions for healthcare monitoring, user-centered textile sensor design, and improving STEM pedagogy through blended learning systems. Key projects include the Smart Campus Innovation Lab and initiatives to transition traditional teaching to online/digital formats. She has led curriculum development efforts in electronics engineering, emphasizing hands-on project work and anonymous feedback systems to enhance student learning experiences. Erja has organized workshops on educational technology and participated in SEFI conferences, highlighting her commitment to academic networking and educational policy. While no specific awards are listed, her contributions to pedagogical innovation and wearable technology development demonstrate impactful academic engagement.

• E-textiles
• Educational Technology
• Sensor Technology
• +5 more

Johanna Virkki is an Associate Professor at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University. Her research focuses on smart textiles, wearable technologies, RFID systems, and their applications in healthcare, assistive communication, and human-computer interaction. She has pioneered projects integrating RFID into clothing and environments for control interfaces, physiological monitoring, and gamified therapies. Key research areas include: Development of e-textiles for AAC (Augmentative and Alternative Communication) RFID-based wearable and furniture interfaces for accessibility Sensor systems for healthcare monitoring and rehabilitation Smart spaces and IoT-enabled environments Her work emphasizes interdisciplinary collaboration, with notable contributions in: Passive RFID sensor platforms for moisture, strain, and physiological signals Co-design approaches involving speech therapists, engineers, and end-users Prototyping wearable devices for children with disabilities and elderly care Recent publications highlight advancements in: Smart furniture and textile-based AAC solutions AI-driven smart spaces and edge-cloud computing Bio-inspired sensors using animal hair and conductive yarns Johanna's research bridges technology and human needs, addressing challenges in healthcare, education, and accessibility through innovative textile and RFID systems.

• Smart Textiles
• RFID Technology
• Wearable Devices
• +5 more

Kalle Elfvengren is a researcher at the Lappeenranta-Lahti University of Technology (LUT) within the School of Engineering Sciences , focusing on Decision Sciences and Technology and Innovation Management . His work bridges computational methods with practical problem-solving across industries. Research Trends : Elfvengren's publications highlight expertise in digital twins, RFID technologies, and AI applications for service needs assessment. He explores how these innovations transform manufacturing, healthcare, and logistics while addressing sustainability and pandemic-related challenges.

• Decision Sciences
• Technology and Innovation Management
• Digital Twins
• +5 more

Professor Ville Viikari is a leading academic in antenna engineering and wireless systems at Aalto University's Department of Electronics and Nanoengineering. His work focuses on advanced antenna designs for mobile devices, 5G/6G networks, RF energy harvesting, and radar systems. He is affiliated with the Aalto University School of Electrical Engineering. Research interests include antenna arrays, coupled systems, and measurement techniques with applications in RFID, backscattering, and IoT. His innovations span frequency-reconfigurable antennas, shared-aperture designs, and millimeter-wave systems. Awards: IEEE Sensors Council Early Career GOLD Award (2010) Aalto Doctoral Thesis Award (2022) Young Researcher Award (2014) Key Projects: Zero Power Sensor Network (2010–2013) as project manager Development of 3D-printed antenna arrays and CMOS circulators Recent Work: Advances in Ka-band Vivaldi arrays and E-band transmitarrays AI-driven antenna optimization using swarm intelligence Wideband MIMO antennas for full-screen mobile devices His research group collaborates on cutting-edge projects blending antenna physics with emerging technologies like 6G and AI-driven design methodologies.

• Antennas
• Wireless Sensors
• Antenna Measurements
• +5 more

Jari Lietzen serves as a Postdoctoral Researcher within the Department of Information and Communications Engineering at Aalto University, Finland, actively contributing to the Communication Engineering research group. His work focuses on pioneering ultra-low-power communication solutions for next-generation wireless networks, particularly through backscatter technologies that enable battery-free device operation by harvesting ambient energy. His research spans critical domains including Backscatter Communications for Ambient IoT, Physical Layer Security mechanisms like secret key generation, Visible Light Communication integration, and Quantum-Enhanced Wireless Systems. He investigates thin-film device fabrication using additive manufacturing, polarization conversion techniques, and reconfigurable intelligent surfaces for harmonic beam steering, addressing fundamental challenges in energy efficiency and security for constrained IoT environments. Analysis of his 13 publications (2018-2024) reveals a cohesive research trajectory centered on backscatter communications evolution. Key trends include the shift from foundational quantum backscatter paradigms (2018) toward practical hardware implementations like light-controlled thin-film devices (2024) and multi-antenna integrated systems. His work consistently bridges theoretical advances in physical layer security with experimental validation, demonstrating expertise in Sub-1GHz radio systems, satellite communications security, and hybrid VLC-backscatter architectures for ambient IoT. Within Aalto University's Communication Engineering group, Lietzen collaborates extensively on experimental projects involving prototype development and link budget validation, with strong partnerships including Boxuan Xie, Kalle Ruttik, and Riku Jäntti. His research directly supports emerging 6G technologies through innovations in passive wireless infrastructure and quantum-inspired communication protocols.

• Backscatter Communications
• Wireless Communications
• Internet of Things
• +4 more

Tiina Ihalainen is a Senior Lecturer in Welfare Sciences at the Speech Research Center. She holds an ORCID (0000-0001-6778-061X) and has been actively publishing since 2017, with 37 total research outputs and 10 activities recorded. Primary Affiliation: Speech Research Center, Welfare Sciences Her research focuses on the intersection of smart textiles and assistive technologies for speech and language therapy. Key areas include Augmentative and Alternative Communication (AAC), dysphagia management, and prosodic analysis of speech. Current trends in her publications emphasize e-textiles for speech therapy, RFID-enabled wearable devices, and customizable smart furniture systems. Collaborative work spans electromagnetics, rehabilitation engineering, and clinical linguistics. She contributes to scientific communities through peer-review activities for journals like Dysphagia and Journal of Clinical Medicine , and has presented at conferences such as SpliTech 2024 and EuCAP 2024. Her work aligns with UN Sustainable Development Goals, particularly in health and well-being (SDG3) and industry innovation (SDG9), through technologies that enhance communication accessibility and elderly care.

• Augmentative and Alternative Communication (AAC)
• Speech Therapy
• Smart Textiles
• +3 more

Sahar Golipoor is a Doctoral Researcher at Aalto University's Department of Information and Communications Engineering. Affiliated with the Ambient Intelligence research group, her work focuses on RFID-based sensing systems and machine learning applications for human activity recognition. Institution: Aalto University Department: Information and Communications Engineering Research Groups: Ambient Intelligence Her research explores advanced signal processing techniques for RFID systems, including adaptive segmentation and multimodal convolutional neural networks. Recent publications highlight innovations in complex gesture recognition, throughput optimization for energy-harvesting networks, and phase-profile analysis in RF-sensing environments. Publications from 2021-2024 demonstrate expertise in wireless sensing technologies, with a focus on improving gesture recognition accuracy and spectral efficiency through machine learning. Key trends include non-static RFID tag analysis and low-complexity algorithm development.

• RFID Technology
• Human Activity Recognition
• Machine Learning
• +3 more

Stephan Sigg is a Professor at Aalto University's Department of Information and Communications Engineering, where he leads the Ambient Intelligence research group . His research focuses on algorithm design for distributed systems, including RF sensing, context-based security, and device-free activity recognition. He serves on editorial boards for Elsevier Journal on Computer Communications and Springer Personal and Ubiquitous Computing , and actively contributes to conferences like IEEE PerCom and ACM Ubicomp. Research Interests: Dr. Sigg specializes in proactive computing, distributed adaptive beamforming, mobile crowdsourcing, and secure spontaneous device pairing. His work bridges wireless communication, machine learning, and ubiquitous systems to develop context-aware solutions for IoT environments. Publication Trends (2019-2025): Recent works demonstrate a strong emphasis on RF-based sensing (WiFi/mmWave radar/RFID) for human activity recognition, 5G-integrated sensing, privacy-preserving AI (federated learning), and healthcare applications. Multimodal approaches combining radar, video, and physiological signals are prominent. Awards: Summa cum laude dissertation honors in Computer Science (2008) VDI-Nordhessen Outstanding Dissertation Prize (2009) Research Leadership: Leads the Ambient Intelligence group exploring RF sensing, edge AI, and human-computer interaction. Collaborates extensively with industry on 5G/6G applications and IoT security. Supervises doctoral candidates in wireless systems and ubiquitous computing.

• Distributed Systems
• Ubiquitous Computing
• RF Sensing
• +5 more

Matti Kuosmanen is a Visiting Professor in the Department of Information and Communications Engineering at Aalto University, affiliated with the Communication Engineering school. His research focuses on antenna arrays, microwave engineering, and advanced manufacturing techniques for telecommunications applications. Tekn. toht. (Ph.D.) in Electrical Engineering, Aalto University (2025) Dipl.ins. (Master’s) in Electrical Engineering, Aalto University (2021) Tekn. kand. (Bachelor’s) in Electrical Engineering, Aalto University (2019) His work spans antenna array design, dielectric materials, and RFID systems. Recent publications highlight innovations in wideband filtering antennas, waveguide simulators, and dielectric layer optimization for beam steering. Collaborations with industry partners and academic teams emphasize practical integration of microwave components. Publications (2022–2025) reflect expertise in stacked-PCB antenna structures, orthogonality in antenna arrays, and RFID transponder design for challenging environments. Kuosmanen’s research integrates advanced manufacturing methods with traditional microwave engineering, aiming to enhance performance and scalability of modern communication systems.

• Antenna Arrays
• Dielectrics
• Microwave Engineering
• +3 more

Oguz Buruk is an Assistant Professor at the Faculty of Information Technology and Communication Sciences, Tampere University, affiliated with the Gamification Group led by Juho Hamari. His research focuses on designing posthuman-era games and wearables, combining speculative design with human-nature-machine interactions. He holds a PhD from Koç University’s Design, Technology and Society Program, with a specialization in Interaction Design. Research Interests: Posthuman/transhuman game experiences involving brain-machine interfaces and robotic companions Wearable gaming technologies and computational fashion Design fiction and speculative design methodologies Human-nature interactions mediated through extended reality (XR) Key Projects: UNITE: Exploring forest-human-machine interplay WEARTUAL: Wearables for VR environments POSTEMOTION: Virtual reality’s socio-emotional impacts His work bridges design research with emerging technologies, emphasizing playful experiences as foundational to effective game design. Recent studies investigate embodied VR experiences, avatar embodiment effects, and transhuman communication systems through co-design workshops.

• Gameful Experience Design
• Posthuman Game Design
• Wearable Technology
• +5 more

Pasi Raumonen is a Professor of applied mathematics at the Faculty of Information Technology and Communication Sciences, Tampere University. His research focuses on 3D structural modeling of trees and forests using laser scanning, uncertainty quantification, and their applications in ecological studies. He is a Principal Investigator in the Academy of Finland’s Centre of Excellence in Modelling and Imaging (2018–2025) and the FAME Flagship (2024–). His work integrates applied mathematics, remote sensing (Lidar/point cloud analysis), and computational methods to address ecological and environmental challenges. Key contributions include methodologies for non-destructive biomass estimation, tree architecture analysis, and quantitative structure models for forest ecosystems. Raumonen has developed tools like the 4DRoot software for root phenotyping and SimpleTree for TLS-based tree modeling. Publications span interdisciplinary topics such as tropical forest fragmentation impacts, tree biomass quantification, and the role of auxin gradients in branching patterns. His research bridges mathematical modeling with real-world ecological applications, emphasizing precision and scalability in environmental monitoring. Grants and collaborations include the FAME flagship and international projects in Amazonian forests and African savannas. He actively contributes to open-source tools and data-sharing initiatives, promoting reproducibility in ecological research.

• Applied Mathematics
• Inverse Problems
• 3D Structure Modeling
• +6 more

Jan H.S. Bergman is a Doctoral Researcher at Aalto University's Department of Electronics and Nanoengineering, actively contributing to the Ville Viikari Group. His work bridges theoretical antenna design with practical implementation for next-generation wireless systems. Research interests span Antenna Design , Millimeter-wave Systems , and Wireless Communications , with specialized focus on Ka/E-band arrays, wearable device integration, and RFID solutions. Bergman addresses critical challenges like metallic-structure compatibility for smartwatches and scan-range limitations in high-frequency arrays through innovations such as parasitic resonators and 3D-printed metallic elements. Analysis of his 2024-2025 publications reveals a cohesive trajectory toward compact, high-performance RF solutions for 5G/6G and IoT. Key themes include millimeter-wave beamforming techniques, optimization of yield-critical microwave devices using swarm intelligence, and novel coupling mechanisms for chip-antenna integration—demonstrating both theoretical depth and hardware validation. As an early-career researcher, Bergman participates in collaborative projects within Aalto's wireless ecosystem but does not oversee student supervision. His work leverages university resources for advanced prototyping and measurement, including waveguide simulators and millimeter-wave testbeds. The Ville Viikari Group provides a dynamic environment for antenna innovation, where Bergman contributes to cutting-edge developments in array architectures and wearable RF systems through hands-on experimentation and cross-disciplinary teamwork.

• Antenna Design
• Microwave Engineering
• Wireless Communications
• +5 more

Matteo Iannacchero is a Doctoral Researcher at Aalto University, affiliated with the Chemistry and Materials department and the Multifunctional Materials Design research group. His work focuses on integrating advanced materials with textile technologies. Research Interests: Development of e-textiles using biomaterials and conductive polymers Machine learning applications in material design Sustainable textile engineering Interdisciplinary collaboration for bioinnovation Recent Publications highlight his contributions to smart textiles, including machine learning-optimized polypyrrole-grafted yarns, semiconducting fiber fabrication, and sustainability-focused literature reviews.

• Materials Science
• E-Textiles
• Biomaterials
• +3 more