جستجوی استاد راهنمای دانشگاهی

• Wireless Communications
• Signal Processing
• 5G/6G Networks
• +۳ مورد دیگر

Mikko Valkama is a Professor at the Department of Communications Engineering , part of the Faculty of Information Technology and Communication Sciences at Tampere University . His research focuses on advanced wireless communication systems, positioning technologies, and integrated sensing and communication (ISAC). He holds an Orcid ID ( 0000-0003-0361-0800 ) and can be reached at mikko.valkama@tuni.fi . Research interests span 5G/6G networks , RF antenna design , deep learning for signal processing , and millimeter-wave systems . He leads projects on positioning algorithms (e.g., mmWave SLAM, NLOS mitigation), ISAC architectures, and hardware-efficient transmitter linearization. Notable contributions include works on DECT-2020 NR standards, phase-based localization, and RIS-assisted systems. In 2025 alone, his group published over 30 articles on topics such as: Antenna array design for Ka-band and wideband applications Machine learning for power amplifier predistortion Bistatic radio SLAM and mmWave mapping Covert transmission and physical-layer security His work bridges theoretical advancements with practical implementations, often validated through experimental setups (e.g., TUJI1 dataset for indoor localization). No scientific awards were explicitly listed in the provided texts.

Robert Picheمشاهده پروفایل

استاد

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

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.

Otto Lappiمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Science
• Human Performance
• Gaze Control
• +۳ مورد دیگر

Dr. Otto Lappi is a Research Fellow at the University of Helsinki's Department of Digital Humanities, Faculty of Arts. His work bridges cognitive science and human performance in complex dynamic tasks, particularly focusing on predictive processing in visuomotor control. PhD in Cognitive Science Title of Docent at University of Helsinki Academy Research Fellow (2020-2025) His research explores: Cognitive mechanisms in high-speed sports and driving Predictive gaze strategies and steering control Flow states in skill acquisition VR and eye-tracking applications in archaeomusicology Neural substrates of domain expertise Recent publications analyze: Flow-state dynamics in visuomotor learning Predictive gaze behavior in automated driving Computational models of attention in distracted driving Chunking mechanisms in high-speed sports performance Scientific contributions include: Academy Research Fellow (Research Council of Finland) Editorial work on high-performance cognition Organizing cognitive science workshops As doctoral supervisor, he has guided: Samuel Tuhkanen (Predictive Gaze and Steering) Jesse Kuokkanen (Mechanistic Computationalism) Ida Maasalo (Driver Behavior) Markus Mattsson (Psychometrics)

• Speech Communication Technology
• Speech Signal Processing
• Machine Learning Applications in Speech Analysis
• +۳ مورد دیگر

Paavo Alku is a Professor of Speech Communication Technology at Aalto University's Department of Information and Communications Engineering. With academic credentials from Helsinki University of Technology (M.Sc. 1986, Lic.Tech. 1988, Dr.Sc.Tech. 1992), he has held academic positions at Asian Institute of Technology (1993) and University of Turku (1994-1999). Current research focuses on speech production analysis, parametric speech synthesis, and speech-based biomarkers for health monitoring Actively develops machine learning models for voice disorder detection and Parkinson's disease classification Principal investigator for projects including SymptoSonic (2024-2025) and HEART (2020-2024) His recent publications emphasize: Wavelet scattering for neurological speech analysis Fisher vector representations in voice disorder classification Machine learning approaches to vocal intensity categorization Respiratory aerosol emission during speech production Formant tracking through hybrid neural network/LP methods Awarded: IEEE Fellow (2020) Academy Professor (2015-2019) Multiple best student paper awards at ICASSP and Interspeech

• Mechanical Engineering
• Aerospace Engineering
• Computational Fluid Dynamics
• +۳ مورد دیگر

Waseeq Siddiqui is a Doctoral Researcher at the Department of Energy and Mechanical Engineering, Aalto University. His academic affiliation aligns with the College of Engineering, focusing on interdisciplinary research in aerospace and mechanical engineering domains. Research Groups: Energy Conversion and Systems Email: waseeq.siddiqui@aalto.fi Phone: +358504340184 His research interests span computational fluid dynamics (CFD), aircraft stability analysis, and non-linear aerodynamic phenomena. Recent work includes studies on wing rock dynamics in blended wing–body aircraft and micro aerial vehicles, alongside crosswind stability control systems and vortex lattice method comparisons. Key trends in publications highlight advanced applications of CFD for both aviation and biomedical systems (e.g., vocal fold particle transport), with emphasis on numerical modeling and stability optimization in complex flight scenarios.

• Microelectronics
• Analog/RF/Mixed-Signal Circuits
• Digital Integrated Circuits
• +۳ مورد دیگر

Dr. Vishnu Unnikrishnan is an Assistant Professor at the Department of Electrical Engineering, Tampere University, within the Faculty of Information Technology and Communication Sciences. His research focuses on energy-efficient high-performance analog/digital/RF integrated circuits and systems in nanometer-scale CMOS technologies. Key areas include time-based data conversion, high-speed serial links, and 5G/6G wireless transceivers. He leads research on analog interfaces using digital/switch components and collaborates with the SoC Hub ecosystem to bridge academic and industrial interests in system-on-chip design. He has secured significant funding, including an EU Marie Curie ITN grant (SMArT) worth €818k and an Academy of Finland Project (2021) of €821k. His work spans over 40 peer-reviewed publications, emphasizing innovations in time-based ADCs, beamforming receivers, and RF system design. Dr. Unnikrishnan actively supervises doctoral and postdoctoral researchers, offers paid master's theses and summer jobs in IC design, and collaborates with industry through the SoC Hub. His research aims to advance cross-technology portable analog interfaces and high-performance mixed-signal systems.

• Mechanical Engineering
• Vibration Analysis
• Rotordynamics
• +۳ مورد دیگر

Sampo Laine is a Visiting Professor at the Department of Energy and Mechanical Engineering at Aalto University, with affiliations in Mechatronics. His expertise focuses on vibration analysis, rotordynamics, and powertrain systems, contributing to the UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (SDG 9). He holds a Doctor of Science (Tech) in Mechanical Engineering (2025), a Master of Engineering (2021), and a Bachelor of Engineering (2020), all from Aalto University. His research explores lateral and torsional vibrations in rotating machinery, electromagnetic influences on torsional systems, and vibration mitigation through active control strategies. Notable contributions include the OpenTorsion Python library for torsional vibration analysis and studies on semi-active foundation stiffness control in rotor systems. His work bridges mechanical design, digital twin technology, and collaborative engineering practices. Laine’s publications span topics such as wire rope isolators, aerostatic measurement systems, and dynamic modeling of coupled electromechanical systems. His research emphasizes practical applications in industrial machinery, automotive powertrains, and manufacturing processes. Collaborations have addressed challenges in winder dynamics, paperboard quality assessment, and roll geometry optimization. No scientific awards are explicitly listed in the provided materials. His advising and grants focus on doctoral research in mechanical systems, with a recent doctoral thesis titled Lateral and torsional vibrations in variable speed rotating machinery (2025). He is affiliated with Aalto’s Mechatronics and Energy Engineering research groups, contributing to interdisciplinary projects in vibration analysis and automated design methodologies.

• Automation Engineering
• Mechanical Engineering
• Robotics
• +۴ مورد دیگر

Pauli Mustalahti is a Research Fellow at Tampere University's Automation Technology and Mechanical Engineering department. His expertise lies in advanced control systems for heavy-duty robotic manipulators, hydraulic systems, and model-based control design. Mustalahti holds a Master of Science (Technology) in Automation Engineering from Tampere University (2016) and a Bachelor of Science (Technology) in the same field (2013). His research focuses on optimizing automated operations for industrial manipulators through innovative control strategies, including bilevel optimization frameworks, vision-aided positioning, and robust safety-constrained systems. Key contributions include improving long-reach manipulator accuracy via local calibration and enhancing electric linear actuator performance with safety protocols. Research interests: Robotics, Hydraulic Systems, Model-Based Control, Industrial Automation Notable achievements: Doctoral thesis on modular model-based control design for heavy-duty manipulators (2023) Collaborations: Global Fluid Power Society, IEEE, and international researchers in automation Mustalahti's work aligns with UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure. His publications span peer-reviewed journals like IEEE Transactions on Automation Science and Engineering and conferences such as PEMC, addressing challenges in actuator safety, real-time control, and energy efficiency.

Raine Viitalaمشاهده پروفایل

استادیار

• Mechanical Engineering
• Electromagnetic Analysis
• Vibration Analysis
• +۲ مورد دیگر

Raine Viitala is an Assistant Professor at Aalto University's Department of Energy and Mechanical Engineering. His research focuses on mechanical vibration analysis, electromagnetic influence in rotating systems, and sustainable energy management in industrial applications. Aalto University Department of Energy and Mechanical Engineering His work spans mechanical engineering , fluid dynamics , and machine learning applications . Recent publications address torsional vibration modeling, aerostatic bearing design, and AI integration in pulp & paper industry energy systems. Viitala's research trends include digital twin technology for collaborative design, eddy current sensing for tool monitoring, and nonlinear damping solutions for mechanical systems.

• Power Electronics
• Control Theory
• Mathematical Optimization
• +۵ مورد دیگر

Petros Karamanakos is an Assistant Professor in the Department of Electrical Engineering at Tampere University's Faculty of Information Technology and Communication Sciences. His research focuses on advanced control methodologies for power electronic systems, emphasizing optimization, mathematical programming, and model predictive control. He holds a Ph.D. and Diploma in Electrical and Computer Engineering from the National Technical University of Athens (2007–2013). Prior to his academic role, he worked at ABB Corporate Research Center (2010–2011) and was a PostDoc Research Associate at Technische Universität München (2013–2016). His mission involves developing control methods that maximize hardware capabilities while minimizing hardware requirements. Key research topics include variable speed drives, grid-connected converters, multilevel power converters, and modulation strategies. He has received prestigious awards, including the Third Best Paper Award in IEEE Transactions on Industry Applications and four IEEE conference prize paper awards. Teaching responsibilities include courses on power electronics and control systems. He actively supervises BSc, MSc, and PhD students. His work bridges theoretical advancements with practical implementations in power electronics, with a focus on real-time control and system optimization.

• Power Electronics
• Switch Mode Power Supplies
• Electromagnetic Compatibility (EMC)
• +۷ مورد دیگر

Jorma Kyyrä is a Professor at Aalto University's Department of Electrical Engineering and Automation. His primary research focuses on power electronics, wireless power transfer systems, and high-frequency converter design. He has contributed significantly to fields like switch mode power supplies, electromagnetic compatibility (EMC), and power factor correction. Key honors include the IEEE Education Society Chapter Achievement Award (2006) for Nordic Chapter. His work emphasizes practical applications in renewable energy integration, DC microgrids, and contactless charging systems. Recent research trends show strong focus on MHz-frequency wireless power transfer, model predictive control strategies for rectifiers, and high-efficiency DC-DC converter topologies. Publications span over 30 years, with notable contributions to the design of resonant converters, inductive power transfer systems, and energy storage solutions. Collaborative projects include investigations into multi-energy microgrids and adaptive control for industrial applications. His research often combines theoretical analysis with hardware implementation, evidenced by frequent conference participation at IEEE venues.

• Ecology
• Evolutionary Biology
• Population Genetics
• +۳ مورد دیگر

Kalle Matias Leppälä is a postdoctoral researcher at the University of Helsinki's Faculty of Biological and Environmental Sciences, affiliated with the Organismal and Evolutionary Biology Research Programme. His work focuses on population genetics, statistical modeling, and evolutionary biology through computational approaches. Recent research includes Bayesian Gaussian process models for variance component estimation, generalized D-statistic methods for admixture analysis, and mathematical formulations for odds ratio calculations. His computational work intersects with ecology and genomics. He participates in the TreeBio Center of Excellence (2024–2026), funded by the Research Council of Finland, exploring tree biology and population dynamics. Current projects emphasize genetic admixture patterns in Arctic populations and statistical methodology development.

• Information Theory
• Coding Theory
• Discrete Mathematics
• +۳ مورد دیگر

Charul Rajput is a Research Fellow at Aalto University's Department of Mathematics and Systems Analysis, School of Science. Their research focuses on Information Theory, Coding Theory, Discrete Mathematics, and Algebra, with a particular emphasis on caching systems and network optimization. Recent work includes advancements in hierarchical coded caching, hotplug models, and error probability analysis in communication channels. Publications span topics like function-correcting codes, private information retrieval, and locally recoverable codes. Rajput's research also intersects with systems analysis, addressing challenges in distributed storage and network efficiency. Research interests include the theoretical foundations of coding and information theory, with applications to modern communication systems. Key contributions address the design of efficient caching schemes and error-correcting codes for high-performance networks. No scientific awards or grants are explicitly mentioned in the provided texts. Rajput is affiliated with the Algebra and Discrete Mathematics research group at Aalto University, contributing to interdisciplinary projects that bridge pure mathematics and practical network systems.

Jenni Nikuمشاهده پروفایل

مدرس ارشد

• Multivariate Statistical Modeling
• Latent Variable Models
• Statistical Method Development
• +۳ مورد دیگر

Jenni Niku is a Senior Lecturer at the Department of Mathematics and Statistics, University of Jyväskylä, specializing in multivariate statistical modeling and computational methods for ecological data. She is actively involved in the Predictive Community Ecology Group and leads research projects on latent variable models for complex ecological structures. Research Focus: Latent variable models for community ecology Spatial-temporal pattern analysis Statistical methodology for multivariate data Joint species distribution modeling Computational tools for ecological datasets Recent Publications: Jenni has contributed to advancements in analyzing compositional count data, fungal dispersal dynamics, chronic disease modeling, and peatland restoration. Her work bridges statistical innovation with ecological applications, particularly in handling high-dimensional data. Collaborations: She works extensively with researchers from Biological and Environmental Science departments, focusing on interdisciplinary applications of her statistical models.

Stefan Albert Wirlerمشاهده پروفایل

پژوهشگر

• Spatial Audio
• Psychoacoustics
• Speech Enhancement
• +۳ مورد دیگر

Stefan Albert Wirler serves as a Researcher in the Department of Information and Communications Engineering at Aalto University, actively contributing to the Communication Acoustics research group specializing in Spatial Sound and Psychoacoustics. His work bridges theoretical audio signal processing with practical applications in spatial audio systems. Primary research areas include Spatial Audio, Psychoacoustics, and Speech Enhancement, with specific focus on microphone array processing, spatial post-filtering techniques, and machine learning applications for auralization. His investigations address critical challenges in virtual reality audio reproduction and headphone acoustics through innovative signal processing approaches. Analysis of his 2020-2024 publications reveals consistent advancements in spatial post-filter design, particularly through non-linear combinations and coherence-based methods for speech enhancement. His work demonstrates growing integration of machine learning with traditional signal processing, notably in rigid sphere scattering modeling and DIY headphone modifications for improved acoustic transparency. Wirler operates within Aalto University's Communication Acoustics research ecosystem, collaborating extensively with senior researchers like Ville Pulkki on projects spanning spatial audio rendering, psychoacoustic validation, and real-time audio processing systems.