جستجوی استاد راهنمای دانشگاهی

Robert Piche is a Professor at the Computing Sciences Mathematics Research Centre, specializing in advanced signal processing, positioning systems, and sensor fusion. He holds a Doctor of Science (Technology) and Master of Science from the University of Waterloo, Canada (1986 and 1982, respectively). His research focuses on Kalman filters, Global Positioning Systems (GPS), particle filters, and indoor positioning technologies. He has contributed extensively to fields like satellite orbit prediction, non-line-of-sight (NLoS) positioning, and machine learning applications in biomechanics and robotics. Dr. Piche has authored over 230 publications and received recognition through an invitation/ranking in a 2014 competition. He actively participates in academic activities, including conference presentations and peer-review roles. His work bridges theoretical advancements and practical applications, with contributions to autonomous systems, sensor data analysis, and wearable technology. Collaborations span international institutions, reflecting his global impact in engineering and computer science disciplines.

• Kalman Filters
• Global Positioning Systems (GPS)
• Signal Processing
• +۵ مورد دیگر

Henrikki Tenkanen is an Assistant Professor in the Department of Built Environment at Aalto University, specializing in Geoinformatics. His research focuses on geospatial analysis, urban planning, transportation accessibility, and open data applications for sustainable development. His primary research interests include Geospatial Analysis , Urban Planning , Transportation Accessibility , and Population Dynamics . Tenkanen's work integrates mobile phone data, social media, and open geospatial sources to understand urban environments, accessibility patterns, and carbon emissions. His research contributes significantly to UN Sustainable Development Goals related to sustainable cities and communities. Tenkanen's recent publications demonstrate strong trends in high-resolution spatial analysis of urban environments, with particular emphasis on transport equity , carbon emissions mapping , and rural population representation . His work combines advanced geocomputing techniques with practical urban planning applications, often developing open-source tools to enhance reproducibility and accessibility of geospatial research. As an active member of the academic community, Tenkanen serves as a peer reviewer for journals including Big Data & Society and Environment and Planning B, and participates in conference committees such as the International Conference on Location Based Services. His research has garnered significant attention, with multiple publications featured in news outlets and academic platforms. Tenkanen leads several major research projects including Geo-R2LLM (developing geographic large language models), Geoportti (open geospatial infrastructure), MAPICO (mapping commute-related carbon emissions), and LIH: Location Innovation Hub. His work bridges academic research with practical applications for urban planning and sustainable mobility.

• Geospatial Analysis
• Urban Planning
• Transportation Accessibility
• +۷ مورد دیگر

Maaria Nordman is an Assistant Professor at Aalto University's School of Built Environment , specializing in geodesy and its applications to navigation technologies, earth observation, and climate change impacts. Her expertise spans GNSS data accuracy, coastal habitat vulnerability, and geodynamic modeling. Email: maaria.nordman@aalto.fi Phone: +358503533852 Her research combines geodetic techniques with interdisciplinary approaches to address: Non-tidal atmospheric loading corrections in GNSS analysis Coastal adaptation to sea level rise 3D deformation monitoring through geospatial time series Smartphone positioning accuracy enhancements Height system unification via geodetic SAR Recent publications highlight her work in geodynamics and climate science, particularly focusing on the Baltic Sea region. While no formal awards are listed, her collaborative publications demonstrate significant contributions to geodetic research methodologies and coastal resilience studies.

• Geodesy
• Navigation Technologies
• Earth Observation
• +۵ مورد دیگر

Jari Vepsäläinen is an Assistant Professor at Aalto University's Department of Energy and Mechanical Engineering under the College of Engineering. He serves as Director of the Fluid Power group and specializes in mechatronics design, energy efficiency, and generative design methodologies. Research focuses on physics-based modeling for energy recovery AI/ML applications in electromechanical system design Applications in robotics, heavy machinery, and sustainable transportation His recent publications demonstrate expertise in hybrid systems, fluid power optimization, and AI-driven engineering, with a strong emphasis on electrification and efficiency across automotive, maritime, and industrial domains. Key areas: Mechatronics, Energy Systems, Generative Design Technologies: Digital Twins, IoT, Machine Learning Current projects involve thermal energy systems, electric motor optimization, and advanced control algorithms for mobile machinery.

• Mechatronics Design
• Energy Efficient Systems
• Generative Design
• +۷ مورد دیگر

Omid Abdi is a Postdoctoral Researcher at the Department of Forest Sciences, University of Helsinki, Finland. He specializes in geoinformatics and remote sensing applications in forestry, focusing on precision harvesting, forest disturbance monitoring, and GNSS-based forest operations. His research integrates advanced technologies like LiDAR, Sentinel-2 satellite data, and machine learning for environmental analysis. Research Interests: His work spans Remote sensing of forest ecosystems Geospatial data processing Automated forest monitoring systems Wildfire detection algorithms Forest infrastructure mapping Positioning accuracy in boreal forests Scientific Contributions: Recent publications analyze GNSS logging track automation, vegetation recovery after fires, and super-resolution imaging for canopy analysis. Active in the EU Horizon Europe OptiForValue project (2024-2028) developing sustainable forest technology solutions.

• Forestry
• Geoinformatics
• Precision harvesting
• +۴ مورد دیگر

Elena Simona Lohan is a Professor at Tampere University's Faculty of Information Technology and Communication Sciences , leading the Signal Processing for Wireless Positioning research group. She also holds a Visiting Professor position at Universitat Autonoma de Barcelona's SPCOMNAV group. Education : MSc in Electrical Engineering (Politehnica University of Bucharest, 1997), DEA in Econometrics (École Polytechnique, Paris, 1998), PhD in Telecommunications (Tampere University of Technology, 2003) Research Focus : GNSS algorithms, interference detection, wearable computing, and 5G positioning convergence. Her work spans signal processing for GNSS (Galileo, GPS, GLONASS, BeiDou), indoor/outdoor localization, and IoT communication. She coordinates the H2020 MSCA European Joint Doctorate A-WEAR and serves as Associate Editor for the Journal of Navigation and IET Radar, Sonar & Navigation . Notable projects include GRAMMAR (Galileo receivers), UJI IndoorLoc Platform , and SP4TE collaborations. She has authored over 250 publications and 6 patents.

• Wireless Positioning
• GNSS Algorithms
• Wearable Computing
• +۷ مورد دیگر

Mayank is a Doctoral Researcher at Aalto University's Department of Electronics and Nanoengineering, School of Electrical Engineering. He works within the Jaan Praks Group, focusing on advanced antenna systems and satellite design for emerging space applications. Key research areas: Thin membrane antennas for small satellites, LEO-PNT constellation payload architecture, and radiation belt science with CubeSats Scientific contributions include sensitivity analysis of Ka-band reflectarray antennas and space weather satellite design for challenging environments Scientific Awards: R2B - DIAMANT award for innovation in thin membrane antenna technology His work bridges antenna engineering with practical space mission implementation, as evidenced by publications in venues like IEEE Access, Space Science Reviews, and URSI GASS. Collaborations include multidisciplinary teams working on navigation payloads, satellite survivability, and space weather monitoring systems.

• Satellite Communication
• Antenna Design
• Space Engineering
• +۳ مورد دیگر

Jarno Alanko is a Postdoctoral Researcher at the University of Helsinki within the Department of Computer Science . Specializing in algorithmic bioinformatics and computational genomics, he is affiliated with the Genome-scale Algorithmics research group led by Professor Veli Mäkinen. Research Interests: Bioinformatics algorithms String processing Genomic data structures Graph-based sequence representation Metagenomic analysis Space-efficient computing Notable Research Contributions: His work focuses on optimizing k-mer-based analyses through novel data structures like Finimizers and Eulertigs, improving sequence alignment efficiency, and developing graph indexing methods beyond Wheeler graphs. Recent publications in IEEE/ACM Transactions on Computational Biology and Bioinformatics and Algorithmica highlight his contributions. External Collaborations: Alanko has collaborated with institutions such as the Max Planck Institute for Molecular Cell Biology and Genetics during his 2017 academic visit. Contact: jarno.alanko@helsinki.fi | ORCID: 0000-0002-8003-9225

• Bioinformatics
• Computational Biology
• Algorithms
• +۴ مورد دیگر

Jari Nurmi is a Full Professor at Tampere University's Faculty of Information Technology and Communication Sciences, Department of Electrical Engineering. With over 30 years of experience in academia and industry, he specializes in communications engineering, positioning technologies, embedded systems, and reconfigurable computing. His roles include Director of the national DELTA doctoral training network, head of the European Joint Doctorate A-WEAR program, and coordinator of APROPOS MSCA ITN. He has supervised 32 PhD dissertations and over 160 MSc theses. His research focuses on embedded processor systems, reconfigurable computing, approximate computing, and positioning technologies (especially GNSS receiver architectures). He is actively involved in organizing international conferences like IEEE Nordic Circuits and Systems Conference and serves on editorial boards of three journals. His recent work includes advancements in neural network inference on FPGAs, 5G NR localization, and energy-efficient edge AI for autonomous systems. Nurmi has been recognized for his contributions to conference organization and innovation. His publications span topics such as FPGA optimization, GNSS error modeling, and machine learning for healthcare applications. He leads initiatives like the EWOk dataset compression framework and the Hard SyDR benchmarking environment for GNSS algorithms.

• Communications Engineering
• Positioning Technologies (GNSS)
• Embedded Processor Systems
• +۴ مورد دیگر

Antoine Grenier is a researcher in the Department of Electrical Engineering at Tampere University, focusing on Global Navigation Satellite Systems (GNSS), Approximate Computing, and Edge AI. His work spans signal processing, sensor technology, and low-power system design for positioning applications. Developing energy-efficient GNSS receivers using approximate computing Creating benchmarking environments for GNSS algorithms Analyzing ionospheric errors for LEO-PNT solutions Exploring consumer-grade sensors in Android wearables for robust positioning His recent publications (2022-2025) emphasize interdisciplinary applications of GNSS in IoT, edge computing, and satellite-based navigation systems. Collaborations with researchers like Elena-Simona Lohan and Aleksei Ometov highlight his contributions to open-access datasets and algorithm optimization frameworks.

• Global Navigation Satellite Systems (GNSS)
• Approximate Computing
• Edge AI
• +۵ مورد دیگر

Mehari Meles is a Postdoctoral Researcher at Aalto University's Department of Information and Communications Engineering. His work focuses on drone localization in GNSS-denied environments, leveraging reconfigurable intelligent surfaces (RIS) and addressing hardware imperfections and jamming effects. He actively contributes to projects like Drolo II and PriMO-5G. Specializes in drone navigation systems Expertise in RIS-assisted localization Recipient of Nokia Foundation Scholarship His research spans signal processing, computer hardware, and network engineering, with recent publications analyzing phase noise impacts, jammer nullification techniques, and 3D localization algorithms. Collaborations include EU-funded initiatives and international projects with Finland-Korea partnerships. Scientific awards include: Nokia Foundation Scholarship (2023) He has participated in five major projects since 2018, focusing on 5G drone applications, ubiquitous localization, and network cloudification. His work has been cited 10 times on Scopus, with extensive open-access publications available through Aalto University's repository.

• Drone Engineering
• Computer Hardware
• Reconfigurable Intelligent Surface
• +۵ مورد دیگر

Saiful Islam is a Doctoral Researcher in the Doctoral Programme in Computing and Electrical Engineering and holds an External Position as Research Scientist at the Finnish Geospatial Research Institute (FGI, NLS) since 2019. He earned his Master of Science (Technology) in Information Technology in 2019. His research focuses on satellite navigation techniques, resilient software-defined GNSS receivers, and algorithms for detecting/mitigating signal interference and anomalies. Education: M.Sc. (Tech.) in Information Technology (2019). Research Interests: Islam’s work emphasizes advancing GNSS receiver resilience, spoofing detection, and multi-frequency/multi-constellation navigation systems. He collaborates on datasets like the FGI-SpoofRepo, contributing to open-source tools for analyzing spoofing impacts. His publications address maritime navigation challenges, software-defined receiver optimization, and acoustic-based positioning systems. Collaborations: Active in global geospatial research, with contributions to IEEE and peer-reviewed journals. His work bridges academic research with practical applications in navigation security and environmental acoustics.

• Satellite Navigation
• Global Navigation Satellite Systems (GNSS)
• Software-Defined Receivers
• +۳ مورد دیگر

Kaan Celikbilek is a Doctoral Researcher in the Doctoral Programme in Computing and Electrical Engineering, focusing on satellite navigation systems and wireless positioning technologies. His work explores the integration of Low Earth Orbit (LEO) satellite systems with traditional GNSS for improved accessibility and performance. Research Interests: Active in the field of satellite-based positioning, navigation, and timing (PNT), Celikbilek investigates LEO constellation optimization, signal fusion techniques, and cost-effective solutions for underserved regions. His research spans orbital mechanics, receiver design, and performance metrics analysis. Recent Publications: Key contributions include comparative studies on LEO-PNT constellations, performance analysis of multi-constellation systems, and optimization algorithms for satellite deployment. These works emphasize practical applications in Africa and theoretical advancements in constellation design.

• Low Earth Orbit (LEO) satellite systems
• Global Navigation Satellite Systems (GNSS)
• Satellite constellation design
• +۳ مورد دیگر

Prof. Simona Lohan is a Full Professor at the Electrical Engineering unit of Tampere University, Finland, and a visiting professor at Universitat Autònoma de Barcelona. Her research focuses on wireless positioning, GNSS algorithms, and wearable computing, with an emphasis on privacy-aware localization and interference mitigation. She leads the Signal Processing for Wireless Positioning research group and coordinates the H2020 MSCA European Joint Doctorate A-WEAR (2019-2023). She holds a PhD in Telecommunications from Tampere University of Technology (2003), and has authored/co-authored over 250 peer-reviewed publications. Education background includes an MSc in Electrical Engineering from Polytechnics University of Bucharest (1997), a DEA in Econometrics from École Polytechnique, Paris (1998). Her research spans satellite navigation (Galileo/GPS/GLONASS), UMTS/WCDMA positioning, 5G positioning, IoT localization, and medical applications of positioning systems. She is an associate editor for the RIN Journal of Navigation and IET Journal on Radar, Sonar, and Navigation . Key projects include the H2020 A-WEAR project (wearable health tech), Academy of Finland ULTRA (2020-2022), and SJU GATEMAN (2018-2019). Her work addresses global navigation challenges through LEO-PNT constellations, low-cost positioning solutions for Africa, and fusion of 5G/mmWave radar for airport surveillance. She has pioneered datasets like TUJI1 for indoor localization and developed open-source tools like SyDR for GNSS algorithm benchmarking. Her research themes include: LEO satellite-based positioning systems Anti-spoofing techniques for GNSS RF fingerprinting for device identification Privacy-preserving localization algorithms IoT and industrial internet applications Embedded signal processing systems Her team's innovations bridge communication and navigation domains, with applications in aviation, healthcare, and smart infrastructure. Recent work emphasizes energy-efficient GNSS signal processing and multi-constellation PNT solutions for global accessibility.

• Wireless Positioning
• GNSS Algorithms
• Wearable Computing
• +۷ مورد دیگر

Akash Rajasekaran is a Doctoral Researcher at the Department of Information and Communications Engineering at Aalto University , focusing on advanced wireless communication systems and unmanned aerial vehicle (UAV) localization techniques. His research spans critical areas such as: GNSS-free drone positioning Reconfigurable Intelligent Surfaces (RIS) for signal optimization Hardware impairment mitigation in wireless systems Digital Twin integration for UAV teleoperation Angle of Arrival (AOA) and Angle of Departure (AOD) localization 3D tracking algorithms in GPS-denied environments Current work investigates the impact of jamming, phase noise, and hardware limitations on drone localization accuracy. Publications in Electronics Letters , IEEE Access , and conference proceedings demonstrate expertise in wireless signal processing and UAV navigation systems. Research collaborations include institutions like Aalto University and partnerships with experts in telecommunications and aerospace engineering.

• Wireless Communications
• Drone Technology
• Signal Processing
• +۴ مورد دیگر