Taneli Riihonen is an Academy Research Fellow and an Associate Professor (tenure track) specializing in Electrical Engineering. His research focuses on Full-Duplex Communication , Self-Interference Cancellation , and Machine Learning applications in Physical Layer systems , with significant contributions to antenna array design and signal processing for 5G networks. Key Research Areas: Full-Duplex Radio, Self-Interference Mitigation, Millimeter-Wave Technologies, Physical Layer Security Recent publications highlight trends in Full-Duplex Communication and Machine Learning-driven interference cancellation , particularly for military and high-frequency applications. Awards include the Academy Research Fellow distinction. In 2018, he served as an opponent in a doctoral dissertation on millimeter-wave communication systems.
Timo Tiira is a Researcher at the Institute of Seismology, University of Helsinki , and Supervisor for the Doctoral Programme in Geosciences. His work focuses on seismology and geophysics, particularly seismic event discrimination using Finnish station networks. PhD in Geophysics (Discrimination of seismic events using Finnish station network) MSc in Physics (Seismisten signaalien havaitseminen Hutt&Murdock-detektorin ja digitaalisen suodatuksen avulla) Research Interests: Seismology and geophysics with emphasis on seismic event discrimination, crustal structure analysis, ambient noise tomography, and seismic hazard assessment for critical infrastructure like nuclear power plants. Key Contributions: Leadership in establishing the Finnish Seismic Instrument Pool (FINNSIP) , development of 3D shear wave velocity models for Helsinki, and automated seismic event classification systems. Collaborative work spans Finland, Russia, and Ukraine with 103+ activities and 187+ research outputs. Scientific Awards: Recipient of Best GFF Articles award (2014) Projects: Active in SCARCE: Scandinavian Arctic Continental Experiment (2023–2028) and Monitoring the monitoring (2020–2025). Key roles in seismic networks for geothermal and nuclear facility monitoring.
Majdoddin Esfandiari is a Postdoctoral Researcher at Aalto University's Department of Information and Communications Engineering, affiliated with the Esa Ollila Group. His research focuses on wireless communications, signal processing, and machine learning. Education : Master's degree in Engineering and Technology from Shiraz University (2018). His research interests include channel estimation, direction-of-arrival (DoA) estimation, millimeter-wave systems, and sparse signal processing. He employs machine learning techniques like AdaBoost and reinforcement learning to address challenges in one-bit quantized systems and massive MIMO architectures. Recent publications highlight advancements in one-bit millimeter-wave MIMO systems (2025), ISAC resource allocation (2025), and covariance matrix estimation (2025). Key trends include low-resolution signal processing, AI-driven resource optimization, and robustness in correlated noise environments. He contributes to projects such as 6G ISAC (2023-2026) and MASSIVE AND SPARSE ANTENNA ARRAY PROCESSING (2019-2021). Collaborations span Finland and international institutions.
Professor Sergiy A. Vorobyov serves as a faculty member in the Department of Information and Communications Engineering at Aalto University's School of Electrical Engineering, Finland. His active research and teaching profile includes delivering tutorials at major conferences like EUSIPCO'2025 and supervising doctoral candidates through 2025. His research spans critical signal processing domains with emphasis on: Optimization and Linear Algebra Methods in Signal Processing, Communications, and Machine Learning Statistical and Array Signal Processing Sparse Signal Processing techniques Estimation and Detection Theory frameworks Sampling Theory advancements Large-Scale, Cooperative and Cognitive Systems design Recent work demonstrates strong integration of machine learning with array processing, exemplified by his top 3% ICASSP 2023 paper on tensor decomposition for 2D direction-of-arrival estimation. Major recognitions include: IEEE Fellow elevation (2018) for contributions to robust signal processing optimization NSERC Discovery Accelerator Award (2012) Carl Zeiss Award (2011) Alberta Ingenuity New Faculty Award (2007) IEEE Signal Processing Society Best Paper Award (2004) He has successfully mentored over 10 graduate students to completion, including recent PhD recipients working on massive MIMO systems and big data optimization. His research group maintains active projects in optimization frameworks for communications and machine learning applications. The Vorobyov research group operates within Aalto's KIDE facility, focusing on next-generation signal processing solutions for radar, communications, and large-scale data systems.
Alessandro Foi is a Professor of Signal Processing at Tampere University, Finland, and Director of the Tampere University Imaging Research Platform. He also serves as CTO of Noiseless Imaging, a company specializing in noise-removal and imaging enhancement technologies. His academic roles include Editor-in-Chief of the IEEE Transactions on Image Processing (2021–2023) and editorial roles with other major journals. He is an IEEE Fellow for contributions to image restoration and noise modeling. Research Interests: Mathematical and statistical methods for signal processing, functional/harmonic analysis, computational modeling of the human visual system. Key focuses include adaptive algorithms for image restoration/enhancement, noise modeling for imaging devices, and optimal statistical transformations for data analysis. Recent publications emphasize advancements in denoising techniques for biomedical, geophysical, and engineering applications. His work combines traditional signal processing with modern machine learning approaches like neural networks to address challenges in medical imaging, radar systems, and 3D point cloud processing. Professional Activities: Member of IEEE TAB/PSPB Products & Services Committee Member of IEEE SPS Technical Directions Board Labs/Teams: Leads the Tampere University Imaging Research Platform and directs technical strategy at Noiseless Imaging.
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.
Markus Allén is a University Lecturer in the Department of Electrical Engineering at Tampere University, affiliated with the Faculty of Information Technology and Communication Sciences. His research focuses on digital signal processing, RF systems, and wireless communication technologies. He holds a Doctor of Science (Technology) and Master of Science in Telecommunications Technology from Tampere University. Research Interests: Dr. Allén specializes in digital predistortion techniques for power amplifiers, automotive radar systems, millimeter-wave communication, and wireless power transfer. His work emphasizes practical implementations with low-complexity algorithms and hardware-efficient solutions. Key areas include 5G transmitter linearization, near-ground propagation modeling, and signal processing for automotive applications. Publications: His recent work includes advancements in delta-sigma modulator-based predistortion, passive reflector-enhanced radar systems, and RF energy transfer. Over 48 publications span journals like IEEE Transactions on Circuits and Systems and IEEE Transactions on Vehicular Technology. Collaborations: Active in international collaborations, his research often involves industry partners for prototyping (e.g., SDR prototypes for 5G NR uplink). He has reviewed for top journals including IEEE Transactions on Wireless Communications and IET Microwaves, Antennas & Propagation. Labs/Teams: Works within Tampere University's RF and Antenna Research Group, contributing to projects on cognitive radios, automotive radar, and next-generation wireless systems.
Chiara Fedele is a Senior Research Fellow at Tampere University and Grant Coach in the Preaward team, supporting EU funding initiatives. Her research focuses on light-responsive materials for cell-material interactions, combining engineering and biology. She holds a PhD from Istituto Italiano di Tecnologia and University of Naples 'Federico II', with postdoctoral work in the Smart Photonics Materials (SPM) group under Prof. Arri Priimägi. Key research areas include azobenzene-based materials, photomechanical effects, and cell migration control via surface topography. She employs advanced techniques like atomic force microscopy, digital holography, and confocal imaging. Her career spans from materials engineering (BSc/MSc at University of Naples) to interdisciplinary biomaterials research. She collaborates closely with Tampere University's MET faculty and has secured funding from the Finnish Cultural Foundation. Recent work emphasizes light-controllable systems for biomedical applications, such as cell alignment platforms and neural axon guidance in microfluidic devices. Publications highlight innovations in azobenzene materials, including optical control of bio-interfaces, light-induced calcium signaling, and surface patterning. Her contributions bridge materials science with cell biology, aiming to develop dynamic tools for regenerative medicine and tissue engineering.
Eleonora Macchia is a PhD-qualified Researcher and Head of Research at Åbo Akademi University's Faculty of Science and Engineering, specializing in ultra-sensitive bioelectronic detection systems for medical diagnostics. Her work integrates physics, chemistry, and engineering to develop sustainable health technologies addressing UN Sustainable Development Goals. Education: PhD in Chemical Sciences Macchia's research pioneers organic transistor-based biosensors capable of single-molecule detection, with breakthroughs in zeptomolar biomarker quantification for diseases like HIV and pancreatic cancer. She focuses on edible biocatalytic sensors, plasmonic affinity systems, and graphene opto-electronic platforms that overcome biofouling while enabling point-of-care diagnostics. Her fingerprint reveals dominant expertise in transistor technology (100%), field-effect transistors (38%), biosensors (26%), and organic electronics (22%). Recent publications (2023-2025) demonstrate escalating capabilities in multi-analyte detection, with trends toward edible sensor integration, clinical sample validation against gold-standard immunoassays, and electric field manipulation of biomolecular interfaces. These works collectively advance toward zero-power diagnostic systems for resource-limited settings. Scientific Awards: GLOBAL WIIN GLOBALWIIN SPECIAL RECOGNITION AWARD 2023 for Innovation Excellence ITWIIN Award 2022 as Best Innovator (Italian Association of Women Inventors) Electro Travel Awards 2017 Conference Attendance Grants (Solid State Ionics 2017, Sensori Chimici 2017) Macchia secured €1.2M as Principal Investigator for the ProSiT project (2020-2023, Research Council of Finland) developing self-powered HIV diagnostic transistors, and contributed as Co-Investigator to the €2.8M EU SIMBIT project (2019-2022) creating bioelectronic smart arrays for clinical testing. She serves on the editorial board of Sensors journal and maintains extensive collaborations across 12 countries, particularly with Italian research teams on bioelectronic clinical validation. Her laboratory network specializes in bioelectronic array fabrication, plasmonic sensor development, and clinical translation of transistor-based diagnostics, with current efforts focused on edible health monitors and zero-power molecular detection systems for sustainable healthcare.
Mircea Guina is a Professor of Optoelectronics at Tampere University's Faculty of Engineering and Natural Sciences within the Physics Department. He leads the Optoelectronics Research Center (ORC), one of Europe's leading optoelectronics groups with over 30 years of activity focused on molecular beam epitaxy and novel optoelectronic devices like laser diodes and solar cells. His work bridges fundamental material science with real-world applications including dermatology, environmental sensing, and solar energy conversion. Guina's research spans optoelectronics , photonics , and semiconductor technology , with core expertise in molecular beam epitaxy, III-V optoelectronic devices, quantum nanostructures, and silicon photonics integration. His team develops semiconductor lasers for mid-IR sensing, high-efficiency multi-junction solar cells, and quantum light sources, emphasizing technology roadmaps from materials to applications. Current projects target eye-safe LIDAR, optical energy transfer, and quantum technology platforms. His publication portfolio shows strong focus on mid-IR photonics (2-3µm range), hybrid integration of III-V materials with silicon photonics, VECSEL development for quantum applications, and advanced solar cell architectures . Recent work emphasizes micro-transfer printing techniques, laser-assisted bonding for photonic integration, and composition-engineered bismide semiconductors. Scientific recognition includes: OSA Fellow SPIE Fellow He has received major funding including an ERC Advanced Grant (AMETIST, 2.5M€), multiple H2020 projects, Academy of Finland grants, and ESA funding totaling over 3.25M€ in active projects. As lead supervisor for 12 PhD students (with 25+ total postgraduate students supervised), he has mentored award-winning researchers including recipients of EU-PVSEC and Photonics Europe student awards. His group has spun off three companies: Vexlum Oy, Picophotonics Oy, and Reflekron Oy. The ORC research team operates state-of-the-art molecular beam epitaxy facilities and collaborates extensively with VTT Technical Research Centre of Finland, European Space Agency, and industrial partners globally. Guina founded the International Summer School 'New Frontiers in Optical Technologies' and serves on editorial boards for Optics Letters and Journal of Applied Sciences.
José Elias Abrão Neto is a Research Fellow at Aalto University's Department of Applied Physics and a member of the Nanomagnetism and Spintronics research group. His work focuses on advanced materials and phenomena in nanomagnetism, spintronics, and topological insulators. He holds an ORCID identifier (0000-0002-7463-1476) and is affiliated with Aalto's School of Science. His research interests center on magnetic materials, spin Hall effects, and interface-driven phenomena in nanoscale systems. Key areas include spin-to-charge conversion mechanisms, structural modulation of magnetic properties, and the exploration of topological materials for spintronic applications. His experimental studies often involve nanowire fabrication, thin film characterization, and advanced spectroscopic techniques. Recent work highlights include investigations into YIG-based magnetic structures, orbital Hall effects in germanium, and spin dynamics in antiferromagnetic systems. These studies aim to bridge fundamental physics with applications in next-generation magnetic devices and quantum materials. Despite his prolific publication record, no formal academic awards or student advisement roles are explicitly mentioned in current records. His research is conducted within Aalto's state-of-the-art facilities, leveraging collaborations in nanomagnetism and spintronics.
Bin Zhao is a Postdoctoral Researcher at Aalto University's Department of Applied Physics and affiliated with the Molecular Materials research group. His work focuses on advanced lignin-based materials, nanocellulose technologies, and sustainable carbon constructs for environmental applications. Academic rank: Researcher Research Interests : Bin Zhao's research spans the development of lignin-based porous materials for carbon capture, nanocellulose composites for industrial applications, and biomass-derived carbon technologies for environmental and photonic applications. His work integrates materials science, chemical engineering, and sustainable chemistry. Scientific Awards : 3 months research grant Encouragement grant, Department of Bioproducts and Biosystems, May 2022 Best poster, Department of Bioproducts and Biosystems, Jun 2022 Publications : Bin Zhao's publications emphasize wood-based carbon materials for CO2 capture, single-atom catalysts , and bioproducts engineering , reflecting his commitment to sustainable materials and environmental solutions. Research Groups : He contributes to the Molecular Materials group, advancing nanotechnology and bioproducts research.
Outi Kivekäs is a full researcher at Aalto University's Department of Computer Science, specializing in wireless communication and electromagnetic engineering. Her work focuses on mobile terminal antenna design, addressing challenges related to user interaction and signal integrity. Her research explores antenna shielding, coupling elements, and equivalent circuit modeling to optimize performance in lower UHF bands. Publications span conferences like IEEE EuCAP and journals such as IEEE Transactions on Electromagnetic Compatibility and IEEE Antennas and Wireless Propagation Letters. Key collaborations include researchers from Aalto University and international institutions. No scientific awards or student advising details are explicitly mentioned in the provided texts.
Timo Hyart is a Research Fellow at the Department of Applied Physics within the Correlated Quantum Materials (CQM) group. His work focuses on quantum materials with an emphasis on topological superconductivity , graphene-based systems , and non-Hermitian quantum states , as evidenced by his research fingerprint. Hyart’s recent publications (2025–2022) highlight his exploration of mesoscopic graphene transport , non-Hermitian topology , Chern number measurements , and superlattice parametric effects . These studies often involve collaborations with researchers like Antti Lau and Wojciech Brzezicki . He has contributed to journals such as Physical Review Research , Nanotechnology , and Physical Review B , with recurring themes in quantum entanglement , superconducting materials , and topological phase transitions . No formal awards or student advisement details are publicly listed in the provided data.
Victor Hugo Souza is a Researcher in the Department of Neuroscience and Biomedical Engineering at Aalto University, Finland, specializing in advanced Transcranial Magnetic Stimulation (TMS) techniques and neuroimaging integration. His work bridges engineering innovation with fundamental neuroscience to develop precise brain stimulation methods for both research and clinical applications, with significant contributions to real-time tractography-based neuronavigation and multi-locus TMS systems. Dr. Souza holds a PhD, recognized by the prestigious Professor José Leite Lopes Award for Best Doctoral Thesis of 2020 from the Brazilian Physics Society. His educational background includes doctoral research focused on biomagnetism and TMS methodology, establishing foundational work that continues to influence current projects. His primary research interests encompass Transcranial Magnetic Stimulation, Neuroscience, Biomedical Engineering, Neuroimaging, Motor Control, and Brain Stimulation. Specific investigations include electric-field orientation effects on cortical neurons, real-time tractography for neuronavigation, multi-coil TMS engineering, and brain state-dependent stimulation protocols. This work addresses critical challenges in stimulation precision, spatial targeting, and clinical translation. Analysis of his 2023-2025 publications reveals a clear trajectory toward clinical implementation of TMS technologies, particularly in stroke rehabilitation. Key trends include the engineering of multi-locus systems for precise spatial control, integration of TMS with MRI/EEG for closed-loop applications, optimization of stimulation depth, and development of robotic targeting platforms. These efforts demonstrate a systematic progression from basic neuroscience principles to engineered solutions for therapeutic interventions. Dr. Souza's scientific achievements have been recognized through multiple awards: Early Career Researcher Award (2022) for significant independent contributions to biomagnetism Professor José Leite Lopes Award for Best Doctoral Thesis of 2020 (2022) Best poster award for real-time tractography-based TMS neuronavigation (2021) Travel award for concurrent multi-locus TMS and fMRI in rats (2019) Best audience-selected abstract for diffusion MRI processing pipeline (2019) While explicit details about student advising are absent from available records, his extensive collaborative publications with junior researchers across 30+ papers suggest active mentorship. His grant portfolio likely includes Finnish and international funding supporting TMS engineering and clinical translation, though specific awards aren't documented in the provided text. Dr. Souza operates within Aalto University's neuroscience research ecosystem, contributing to multidisciplinary teams focused on brain stimulation technology development and clinical applications.
