جستجوی استاد راهنمای دانشگاهی

Nonappa Nonappa is an Associate Professor (tenure track) in Nanochemistry at Tampere University's Faculty of Engineering and Natural Sciences since 2020. With a multidisciplinary background spanning organic chemistry, supramolecular systems, nanoparticle self-assembly, and advanced electron microscopy, he leads research at the intersection of materials science and biomedical applications. PhD in Organic Chemistry (IISc Bangalore, 2008) Docent in Soft Matter Microscopy (Aalto University, 2017) Executive MBA (Quantic School, 2020) Research focuses on bio-based optical materials using nanocellulose for sustainable photonics, breast cancer models via lab-on-a-chip systems, and precision nanomaterials through tailored self-assembly mechanisms. His team develops 3D extracellular matrices for cancer tissue culture and plasmonic nanodevices for photonic applications. Recent publications highlight gold/silver nanocluster assemblies (43+ citations in 2021-2025), electron tomography for structural analysis, and metastasis modeling systems. Key awards include Italy's Abilitazione Scientifica Nazionale (2018) and Aalto University's Docent title (2017).

• Nanochemistry
• Material Chemistry
• Biobased Optics and Photonics
• +۷ مورد دیگر

Senior Lecturer Outi Salo-Ahen is affiliated with Åbo Akademi University's Faculty of Natural Sciences and Engineering , Department of Pharmacy. Her research focuses on computational pharmacology, drug design, and pharmaceutical chemistry, particularly targeting chemokine receptors (CCR5/CXCR4) and transient receptor potential channels (TRPA1) for therapeutic applications. Doctor of Pharmacy (2006, University of Kuopio/UEF) MSc in Pharmaceutical Chemistry (2001, UEF) BSc in Pharmacy (1999, UEF) University Pedagogy Modules 1-5 (2012-2015) Her work contributes to UN Sustainable Development Goals through education and pharmaceutical innovation . Recent research trends include: Antimicrobial resistance solutions TRPA1 channel modulation Nanotechnology-enabled drug delivery Multi-target HIV-1 inhibitors 3D printing of biocompatible materials Computational analysis of nucleic acid frameworks She actively supervises doctoral projects, serves on assessment panels, and leads collaborations like Nordic Pharmaceutical Translation and Innovation. Her 60+ publications demonstrate expertise in molecular modeling and drug discovery.

• Pharmaceutical Chemistry
• Molecular Modeling
• Drug Design
• +۵ مورد دیگر

Marjo Yliperttula is a Professor at the Department of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki. She serves as a supervisor in the Doctoral Programmes in Biomedicine, Drug Research, and Materials Research and Nanosciences, with expertise in biomaterials and pharmaceutical technology. Her research focuses on nanofibrillated cellulose (NFC) hydrogels for wound healing and drug delivery, extracellular vesicle (EV) engineering for therapeutic applications, and freeze-drying technologies for biomaterial preservation. Key contributions include NFC-based wound dressings that enhance platelet-rich plasma release (2024), Raman spectroscopy methods for monitoring freeze-drying-induced mutarotation (2024), and tandem chromatography techniques for high-purity EV isolation (2023). Her work bridges pharmaceutical sciences with regenerative medicine, emphasizing translational applications in chronic wound treatment and targeted drug delivery. Recent publications (2022-2025) reveal three dominant trends: (1) Optimization of NFC hydrogels for controlled drug release and tissue regeneration, (2) Advanced characterization of EV phenotypes under hypoxic conditions for improved therapeutic efficacy, and (3) Development of analytical methods (Raman spectroscopy, chromatography) to address manufacturing challenges in biopharmaceuticals. These themes reflect her group's commitment to solving critical problems in biomaterial stability, EV-based delivery, and precision wound care. Professor Yliperttula has supervised 10 doctoral theses, including recent work on NFC for skin substitutes (Elle Koivunotko), freeze-drying of hydrogels (Arto Merivaara), and mesenchymal stromal cells for wound healing (Jasmi Snirvi). She currently leads the Academy of Finland-funded GeneCellNa project (2024-2026) on gene/cell/nanotherapy for chronic diseases and a Finnish Red Cross project (2023-2024) on NFC for blood products, with cumulative project funding spanning 18 initiatives since 2005. She heads the Biopharmaceuticals Group within the Drug Research Program, fostering collaborations across pharmaceutical biosciences, materials science, and clinical medicine to advance next-generation therapeutic platforms.

• Biomaterials
• Nanomedicine
• Drug Delivery
• +۵ مورد دیگر

Jouni Hirvonen is a Professor in the Division of Pharmaceutical Chemistry and Technology at the University of Helsinki's Faculty of Pharmacy. He serves as Supervisor for doctoral programmes in both the Doctoral Programme in Drug Research and the Doctoral Programme in Materials Research and Nanosciences. With an extensive publication record spanning over three decades, Hirvonen has contributed 384 research outputs and participated in 3 major research projects. His research interests focus on pharmaceutical technology, particularly in drug delivery systems, nanoparticles, and drug dissolution and absorption. His work bridges pharmaceutical chemistry with cutting-edge nanotechnology applications, developing innovative delivery systems for therapeutic agents. His research spans from fundamental pharmaceutical sciences to translational applications in regenerative medicine, immunotherapy, and cardiovascular pharmacology. The analysis of his recent publications reveals a strong focus on advanced drug delivery platforms, particularly utilizing nanoparticles, lipid-based systems, and biomaterials for targeted delivery. His work increasingly integrates microfluidic technology for precise nanoparticle preparation, with applications spanning cancer immunotherapy, cardiovascular repair, tendon regeneration, and inflammatory disease treatment. The trend shows a growing emphasis on combination therapies, RNA delivery, and cell-mediated drug delivery approaches. Hirvonen has received several prestigious awards throughout his career: CRS/Eurand Grand Prize Award on Innovations in Oral Drug Delivery Technologies (2007) Suomen Valkoisen Ruusun Ritarikunnan I luokan ritarimerkki (2013) The Young Scientist in the University of Kuopio (1993) University of Helsinki Quality Teaching Unit, Faculty of Pharmacy (2005) Visiting Professor award (2015) With 25 instances of supervising doctoral theses and numerous academic activities including conference organization, committee memberships, and editorial work, Hirvonen has made significant contributions to academic mentorship and institutional development. His research has been supported by projects including Generation Green, 3i REGENERATION, and IVIVRe. His work appears to involve collaboration with multiple research teams focusing on drug delivery applications across various therapeutic areas.

• Pharmaceutical Technology
• Drug Delivery
• Nanoparticles
• +۴ مورد دیگر

Valeriy Vyatkin is a Professor at the Department of Electrical Engineering and Automation, Aalto University. His research focuses on advancing industrial automation, control systems, and their integration with emerging technologies like machine learning and digital twins. He specializes in standards such as IEC 61499, addressing interoperability, formal verification, and performance optimization in distributed automation systems. Key research interests include: Physics-informed machine learning for industrial processes (e.g., steel rolling, reservoir engineering) Formal methods for control system validation and safety-critical applications Development of adaptive automation frameworks for Industry 5.0 challenges, including human-robot collaboration and energy systems Interoperability between legacy and modern industrial standards (OPAS, OPC UA) Recent work emphasizes real-time simulation, FPGA-based control prototyping, and AI-driven solutions for energy efficiency and sustainability in manufacturing, horticulture, and process industries. Publications span topics like robotic walker design, probabilistic model checking, and decentralized learning management systems. He collaborates on EU and industry-funded projects, focusing on digital twin implementation, edge computing, and virtual commissioning. His team develops tools for automated code generation, system migration, and anomaly detection in complex industrial settings.

• Industrial Automation
• Control Systems
• Machine Learning Applications
• +۵ مورد دیگر

Heikki Handroos is a Full Professor of Mechanical Engineering at LUT University, leading the Laboratory of Intelligent Machines since 1993. He holds a DSc (Technology) from Tampere University of Technology and has served as Vice-Dean of the Faculty of Technology (2007-2009) and currently chairs the Collegiate Body of LUT University. His research focuses on mechatronics, robotics, control systems, and fluid power, with over 300 publications and 2,400+ citations. He has supervised 34 doctoral theses and 150+ MSc projects, managed R&D projects exceeding €20M, and co-founded four tech startups. His work spans industrial collaborations, digital twin applications, and innovative robotics for nuclear energy (e.g., DEMO reactor maintenance systems). He has held visiting professorships in the U.S., Japan, and Russia, and actively contributes to academic editorial roles and professional societies like ASME and IEEE.

• Mechatronics
• Robotics
• Machine Automation
• +۵ مورد دیگر

Sakari Lahti is a Lecturer in the Department of Computing Sciences at Tampere University, within the Faculty of Information Technology and Communication Sciences. His primary responsibilities include teaching digital logic and hardware design. He holds an ORCID identifier: 0000-0002-9915-4784 . Lahti's research focuses on High-Level Synthesis (HLS) for FPGAs, with emphasis on optimizing embedded systems, real-time applications, and digital signal processing. His work spans FPGA implementation techniques, compiler optimizations for HLS tools, and practical applications in media processing and wireless communications. Notable projects include real-time HEVC video encoding and nonlinear self-interference cancellation systems. His publications reflect a sustained contribution to FPGA-based hardware design, with a decade of work from embedded systems (2002) to modern C++ integration in HLS (2023). Collaborations include colleagues like Teemu Hämäläinen and Jari Vanne, focusing on bridging software and hardware design methodologies. His research also extends to educational aspects, such as real-world product development in system design courses. Lahti’s work is peer-reviewed and published in prestigious venues like IEEE Transactions and conferences like DDECS and ISCAS. His research unit is the Unit of Computing Sciences at Tampere University.

• High-Level Synthesis
• FPGA Design
• Hardware Engineering
• +۳ مورد دیگر

Dubravko Kicic is a Ph.D. Visitor (Faculty) at the Department of Neuroscience and Biomedical Engineering at Aalto University, specializing in advanced brain stimulation techniques and neuroengineering. His work primarily focuses on transcranial magnetic stimulation systems and their clinical applications. Education: Doctoral degree in Engineering and Technology from Helsinki University of Technology (awarded October 20, 2009) Master's degree in Engineering and Technology from Helsinki University of Technology (awarded June 14, 2005) Kicic's research centers on non-invasive brain stimulation technologies, particularly transcranial magnetic stimulation (TMS). His work spans neuroscience, biomedical engineering, and clinical applications for treating neurological and psychiatric conditions. He investigates how to optimize brain stimulation targeting, develop multi-locus TMS systems, and create robotic platforms for precise stimulation delivery. His fingerprint includes expertise in Transcranial Magnetic Stimulation, Behavioral Addiction, Magnetoencephalography, Neuromodulation, Pulse Rate analysis, and Signal Space engineering. Recent publications demonstrate a clear trend toward developing more precise and effective brain stimulation systems. Kicic's work focuses on multi-locus TMS for simultaneous stimulation of multiple brain areas, robotic targeting systems for improved accuracy, and real-time identification of brain states to optimize stimulation timing. His research bridges engineering innovation with clinical neuroscience applications, particularly for depression and pain treatment. Kicic has supervised at least one thesis and has been involved in media coverage regarding how magnetic brain stimulation can help patients with depression and pain. His collaborative work shows extensive international connections in the neuroscience and biomedical engineering fields. His research contributes to UN Sustainable Development Goals related to good health and well-being through developing advanced neurotechnologies for clinical applications.

• Neuroscience
• Biomedical Engineering
• Transcranial Magnetic Stimulation
• +۴ مورد دیگر

Lauri Rautkari is an Associate Professor in the Department of Bioproducts and Biosystems at Aalto University, Finland. His research focuses on water interactions in biomaterials, particularly wood, with an emphasis on developing advanced analytical methods for water vapor sorption, creating novel low-sorption materials, and investigating hygroscopicity and fungal decay resistance in modified wood systems. Research Highlights: Gas-phase ozone treatment for improved wettability, thermal and chemical wood modification, hyperspectral imaging for moisture prediction, bioinspired coatings for fungal protection, and interlaboratory studies on sorption data quality. Recent Publications: Key contributions to understanding lignin's role in moisture interactions, acetylation reversibility, and the impact of fungal degradation on heat-treated wood. The trend in his publications reflects a strong focus on hygroscopicity, chemical modification techniques (acetylation, melamine-formaldehyde impregnation), advanced imaging methods (hyperspectral, neutron scattering), and the development of sustainable wood-based materials for construction and acoustic applications. Collaborative interlaboratory efforts dominate his work, ensuring standardized methodologies for moisture analysis.

• Materials Engineering
• Wood Science
• Biomaterials
• +۴ مورد دیگر

Professor Jouni Mattila is a leading academic in Machine Automation at Tampere University's Faculty of Engineering and Natural Sciences, affiliated with the Automation Technology and Mechanical Engineering department. He is part of the IHA-Innovative Hydraulics and Automation research group. His expertise spans autonomous mobile working machines, nonlinear control engineering, and safety-critical systems like those in the ITER project. He holds a Technical Editor role in ASME/IEEE Transaction on Mechatronics (2015-2020). Research interests include real-world autonomous systems, whole-body motion control for rough-terrain robots, energy-efficient actuators, and teleoperation systems. His work integrates advanced control theory, AI, and robotics for heavy-industry applications. Recent publications focus on robust control frameworks, LiDAR-inertial SLAM navigation, and fault-tolerant systems for mobile robots. Publications highlight advancements in hydraulic/electromechanical actuator systems, visual-inertial feedback control, and energy-efficient robotics. Awards/recognitions are not explicitly listed, but his contributions are evident through collaborations with Finnish industry and big science projects. Advising focuses on MSc and Dr (Tech) students in robotics and automation, with a mission to bridge academia and industry for high-tech innovation. Labs/teams include the Intelligent Hydraulics and Automation (IHA) group, emphasizing practical R&D in cleantech and heavy-duty robotics. Ongoing projects address challenges in autonomous rock-breaking systems, exoskeleton control, and energy-efficient robotic actuators.

• Machine Automation
• Autonomous Mobile Working Machines
• Heavy-Duty Robotics
• +۴ مورد دیگر

Mia Liljeström is a Staff Scientist at the Department of Neuroscience and Biomedical Engineering, Aalto University. She holds a Doctoral Degree in Engineering and Technology from Aalto University (2010) and a Master's Degree in Engineering and Technology from Helsinki University of Technology (2002). Doctoral Degree: Aalto University, 2010 Master's Degree: Helsinki University of Technology, 2002 Her research focuses on Magnetoencephalography (MEG) , Functional Connectivity , and Brain Networks . She explores Transcranial Magnetic Stimulation (TMS) , Functional MRI , and Neural Networks to map language-critical brain areas and study cortical dynamics. Recent work includes automated speech artefact removal from MEG data and test-retest reliability of brain connectivity metrics. Mia actively participates in conferences like MEG Nord and has presented invited talks on language processing and large-scale brain networks. Her publications emphasize MEG-informed TMS, cortical beta modulation, and brain stimulation precision. She contributes to the UN Sustainable Development Goal of Quality Education through neuroimaging research.

• Magnetoencephalography
• Functional Connectivity
• Brain Networks
• +۳ مورد دیگر

Bogdan Iancu is a University Lecturer in the Department of Information Technology at the Faculty of Science and Engineering, Åbo Akademi University. He holds a PhD and Docent qualification in Computer Science, with extensive expertise in artificial intelligence and computer vision applications, particularly in the maritime domain. His academic career spans numerous research projects and publications that bridge theoretical AI concepts with practical industry applications. Dr. Iancu's research focuses on AI applications in maritime technology, with special emphasis on object detection systems, security challenges in AI models, and sustainable technological solutions. He has developed benchmark datasets like ABOships and ABOships-PLUS that have become valuable resources for researchers in maritime computer vision. His work addresses critical challenges including adversarial attacks on object detection systems, as evidenced by his 2025 publication on TOG Adversarial Attacks in YOLO Models. The analysis of his recent publications reveals a clear progression from foundational dataset creation to advanced security analysis and neurosymbolic approaches that combine neural networks with symbolic reasoning. His research shows increasing sophistication in addressing real-world challenges in maritime AI systems, with particular attention to robustness, security, and practical implementation. Dr. Iancu actively participates in numerous research projects including EDISS (Engineering of Data-intensive Intelligent Software Systems), SMARTER (Sea4Value Smart Terminals), and DECATRIP (Decarbonizing Transport Corridors). These projects involve collaboration with industry partners across Finland and Europe, focusing on applying AI to solve real-world challenges in maritime transport, digitalization, and sustainability. He has contributed to the academic community through teaching courses in Artificial Intelligence, Data Science, and Graph Algorithms, and through active participation in the Finnish Artificial Intelligence Society. His work aligns with UN Sustainable Development Goals, particularly those related to industry innovation, infrastructure, and climate action through projects like DECATRIP that focus on decarbonizing transport corridors.

• Artificial Intelligence
• Computer Vision
• Maritime Object Detection
• +۵ مورد دیگر

Robin Ras is a Professor and Head of Department at the Department of Applied Physics at Aalto University, where he leads the Soft Matter and Wetting research group. His work focuses on surface science, particularly superhydrophobic and superoleophobic materials, with applications spanning renewable energy, biomedical engineering, and agricultural science. Ras earned his Master's degree in Engineering and Technology from Catholic University of Leuven in 1999, followed by a Doctoral degree from the same institution in 2003. His academic journey has positioned him as a leading researcher in wetting phenomena and nanoscale surface engineering. His research interests center on understanding and manipulating liquid-solid interactions at micro and nanoscales. Ras's work explores how surface topography and chemistry affect wetting behavior, with particular focus on superhydrophobic surfaces, droplet dynamics, and liquid-repellent materials. His group develops innovative approaches for creating surfaces with controlled wettability for applications ranging from self-cleaning materials to advanced biomedical devices. The research trends evident in Ras's recent publications show a strong focus on precision control of liquid-solid interfaces, with increasing attention to underwater applications, molecular-scale surface engineering, and biomimetic approaches. His work bridges fundamental surface science with practical applications in energy, healthcare, and sustainability. Among his notable scientific achievements: Anton Paar Research Award for Instrumental Analytics & Characterization (2018) for Scanning Droplet Adhesion Microscopy invention Academy of Finland Research Fellow (2011-2016) ERC Consolidator Grant (2017) Ras has secured significant research funding including the ERC Consolidator Grant for the SuperRepel project (2017-2022) focused on superslippery liquid-repellent surfaces, and the Academy of Finland project 'Electric Field; an Active Method to Control Phase Change' (2019-2022). His research group actively collaborates with international institutions and industry partners to translate fundamental discoveries into practical applications. The Soft Matter and Wetting research group under Ras's leadership combines experimental and theoretical approaches to investigate surface phenomena. The team utilizes advanced imaging techniques, precision surface fabrication methods, and computational modeling to understand and engineer surfaces with tailored wetting properties. Their work has applications across multiple sectors including renewable energy, biomedical devices, and sustainable agriculture.

• Superhydrophobic surfaces
• Wetting phenomena
• Droplet dynamics
• +۷ 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.

• Microelectronics
• Analog/RF/Mixed-Signal Circuits
• Digital Integrated Circuits
• +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.

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