جستجوی استاد راهنمای دانشگاهی

Mika Järvinen serves as Associate Professor in the Department of Energy and Mechanical Engineering at Aalto University, leveraging fundamental sciences—physics, thermodynamics, chemistry, and numerical modeling—to address cross-sector energy challenges. His research spans sustainable bioenergy and inter-linked circular economy systems integrating energy, materials, and environmental considerations across biomass, pulp/paper, metallurgy, and waste-to-energy industries. His expertise centers on sustainable bioenergy and circular economy frameworks, utilizing numerical modeling to optimize combustion engineering and metallurgical processes. By maintaining diverse industrial engagement, he ensures research continuity during economic fluctuations while advancing black liquor spraying technologies and energy-material-environment synergies. This approach enables flexible, physics-based solutions for complex industrial energy conversion problems. Professor Järvinen's 2025 publications reveal a cohesive focus on renewable energy systems operating within planetary boundaries, spanning carbon capture (calcium looping), low-temperature heat engines, and comprehensive textbook development. His work integrates solar, wind, bioenergy, and storage technologies into holistic frameworks that balance technical innovation with ecological constraints, emphasizing system-level sustainability over isolated component optimization. His scientific recognition includes: Best Dissertation Award (2002) from Helsinki University of Technology's Department of Machine Technology for research on black liquor droplet conversion Resonate Award (2015) from Caltech University's Resnick Institute As lead of the Energy Conversion and Systems research group, he directs projects bridging fundamental modeling with industrial applications while developing educational resources for next-generation energy engineers. His laboratory work emphasizes experimental validation of numerical models across combustion, metallurgical, and biomass conversion processes.

• Sustainable Bioenergy
• Circular Economy
• Energy Conversion Systems
• +۴ مورد دیگر

Mohamed Noureldin is an Assistant Professor at the Department of Civil Engineering, Aalto University , Finland, with prior academic roles at Sungkyunkwan University, South Korea (2015–2022). His expertise lies in integrating Artificial Intelligence (AI) with Structural Health Monitoring (SHM) , Structural Digital Twin , Predictive Maintenance , and Seismic Retrofitting . Research Focus : AI-powered sustainable structural design, smart retrofitting, predictive maintenance, structural material innovation, and next-generation performance-based seismic/wind design. Industrial Experience : 20+ years in offshore/onshore structural engineering (Hyundai Heavy Industries, Samsung Engineering, Arab-Swiss Engineering Company, Zuhair Fayez Partnership). Teaching : Courses in structural analysis, seismic design, dynamics, and reinforced concrete at Aalto and Sungkyunkwan Universities. Laboratory : Leads the Structural Design AI Lab (SDAI), focusing on AI-driven resilient infrastructure. Contact : mohamed.noureldin@aalto.fi , +358504544861. His publications explore cutting-edge applications of AI, ML, and DL in seismic retrofitting, structural durability, soil stabilization, and hybrid damping systems. Collaborative work emphasizes life-cycle cost assessment and augmented reality for predictive maintenance.

• Structural Engineering
• Artificial Intelligence in Civil Engineering
• Structural Health Monitoring
• +۵ مورد دیگر

Jukka Tuhkuri is a Professor at Aalto University's Department of Energy and Mechanical Engineering, specializing in ice mechanics and arctic marine technology . He serves as Editor-in-Chief of Cold Regions Science and Technology and became an Honorary Professor at University College London (Department of Earth Sciences) in 2023. His work spans numerical simulations using the Discrete Element Method (DEM) and experimental research in the Aalto Ice and Wave Tank, with fieldwork in both Arctic and Antarctic regions. Research Focus : Understanding ice fracture mechanics, sea ice ridge formation, and ice-structure interaction processes. He investigates how global warming alters ice conditions and affects loads on ships/marine structures, addressing risks from increased Arctic shipping activity. Scientific Awards 2023 POAC Founders Lifetime Achievement Award Teacher of the Year 2003 Espoo Ambassador 2012 1996 Best Dissertation Stipend from Helsinki University of Technology Collaborative Impact : His research directly informs offshore wind engineering and Arctic risk management frameworks through publications like Challenges with sea ice action on structures for Offshore wind (2023) and A comprehensive approach to scenario-based risk management for Arctic waters (2022).

• Ice Mechanics
• Fracture Mechanics
• Arctic Marine Technology
• +۴ مورد دیگر

Hamed Badihi is an Assistant Professor in Automation Technology and Dependable Systems at Tampere University , part of the Faculty of Engineering and Natural Sciences. He leads the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group within the Dependable Systems Cyber Laboratories . His research focuses on critical aspects of condition monitoring, fault-tolerant control, and attack-resilient control to advance sustainable, dependable cyber-physical systems. Research Interests include: Cybersecurity for industrial control systems Fault-tolerant control mechanisms Resilient control strategies for renewable energy systems Condition monitoring of wind turbines and microgrids Recent Contributions emphasize hybrid approaches combining machine learning and control theory for cyber-attack detection and system resilience in wind farms and microgrids. His work addresses challenges like real-time fault diagnosis and adaptive control under adversarial or environmental perturbations. Awards & Roles : Senior Member of IEEE, editor for International Transactions on Electrical Energy Systems , Advances in Fuzzy Systems , and Processes journals. Active in EU projects like StreamSTEP . Labs & Teams : Directs the DARES Group, collaborating on initiatives like the Dependable Systems Cyber Laboratories to pioneer innovations in cyber-physical system dependability.

• Condition Monitoring
• Fault-Tolerant Control
• Attack-Resilient Control
• +۳ مورد دیگر

Ahmad BahooToroody is an Academy Research Fellow at Aalto University’s Department of Energy and Mechanical Engineering, specializing in Bayesian statistics, reliability engineering, and risk analysis for autonomous maritime systems. He is actively involved with the Marine and Arctic Technology research group and leads projects that integrate machine learning with safety-critical applications in the maritime and offshore sectors. Research Interests Bayesian statistical methods for reliability and risk modeling Machine learning and deep learning for anomaly detection in autonomous systems Safety assessment of offshore installations and maritime operations Prognostic health management of marine renewable energy systems Human factors and expert judgment in sociotechnical maritime systems His work often incorporates advanced techniques such as Gaussian processes, LSTM-based neural networks, and dynamic Bayesian networks to address uncertainties in complex engineering systems operating in harsh marine environments. Publication Trends Across 2022–2025, BahooToroody’s publications reveal a strong trajectory toward integrating data-driven models with physics-based simulations. Dominant themes include real-time risk monitoring of autonomous ships, failure prognosis for unattended machinery, and safety assessment frameworks for offshore structures. His collaborative outputs span high-impact journals such as Reliability Engineering & System Safety and Safety Science , underscoring his leadership in maritime safety analytics. Research Groups & Labs Marine and Arctic Technology Research Group, Aalto University Academy Research Fellow network within the Department of Energy and Mechanical Engineering Doctoral Supervision & Grants While specific grant details are not listed, his role as Doctoral Candidate Supervisor since 2020 indicates active mentorship of PhD researchers. He is also the Principal Investigator on projects funded under the Academy of Finland Fellowship scheme, supporting next-generation maritime risk analytics.

• Bayesian Statistics
• Reliability Engineering
• Risk Analysis
• +۴ مورد دیگر

Dr. Wojciech Solowski is an Associate Professor at Aalto University , specializing in computational simulations of soils and granular materials with a focus on numerical methods and constitutive modeling. His research spans geotechnical engineering, environmental geomechanics, and computational mechanics. Research Interests : Numerical modeling (FEM/MPM), THMC behavior of soils, unsaturated soil mechanics, soil improvement, frost susceptibility, ground vibrations, and laboratory testing. Scientific Contributions : Dr. Solowski has extensively advanced the Material Point Method (MPM) for large deformation problems in geotechnics and developed the in-house finite element code Thebes for THMC coupling simulations. His work addresses critical challenges in nuclear waste repositories, soft soil stabilization, and offshore sediment characterization. Publication Trends : Recent articles focus on MPM for marine clay analysis, THMC coupling in bentonite barriers, 3D shrinkage deformation measurements, and geophysical-geotechnical integration for offshore wind farms. His research emphasizes practical applications in energy transition and infrastructure resilience. Affiliations : Mineral Based Materials and Mechanics research group at Aalto University. Committee Roles : International Secretary of the Finnish Geotechnical Society; member of ISSMGE TC106 (unsaturated soils) and ERTC7 (numerical methods).

• Geotechnical Engineering
• Computational Geomechanics
• Numerical Modeling of Soils
• +۷ مورد دیگر

Mingyang Zhang is a Postdoctoral Researcher at the Department of Energy and Mechanical Engineering , Aalto University, Finland. His research focuses on the intersection of Maritime Engineering and Artificial Intelligence , particularly in Digital Twin Technology , Ship Motion Prediction , and Risk Analysis for Arctic and inland waterway operations. Awarded Best Paper at G-NAOE 2024 Honored with 5 Highly Cited Paper Awards (2021-2024) Active in Marine and Arctic Technology research group His machine learning work addresses ship fuel consumption prediction , collision avoidance , and grounding risk assessment , with applications in autonomous shipping and offshore wind farm monitoring . Key publications span Reliability Engineering , Ocean Engineering , and Marine Hydrodynamics journals. Recent article trends include: Digital Twin applications for shipping decarbonization (2024) Deep learning models for 6-DoF ship motions and focused wave prediction (2023) Big Data Analytics for Arctic navigation risks and inland waterways (2022-2021) Integration of HFACS and fault tree analysis in risk modeling (2019) Scientific achievements include: 2024: Best Paper, G-NAOE Conference 2023: 2 Highly Cited Paper Awards 2022: 2 Highly Cited Paper Awards 2021: Highly Cited Paper Award 2019: Best Paper, 5th International Conference on Transportation Information and Safety Current research at the Marine and Arctic Technology group emphasizes AI-driven maritime safety , real-time risk monitoring , and data-intensive shipping decarbonization projects. Collaborations include Spyros Hirdaris , Pentti Kujala , and Jakub Montewka .

• Maritime Engineering
• Machine Learning
• Risk Analysis
• +۴ مورد دیگر

Tommi Mikkola is a University Lecturer in Fluid Mechanics at Aalto University, with a career spanning roles from summer trainee to postdoctoral researcher at the Ship Laboratory of Helsinki University of Technology. He focuses on advancing fluid mechanics education through systematic, student-centered approaches, emphasizing interactive learning and critical thinking. His research expertise includes computational fluid dynamics (CFD), ship hydrodynamics, and hydrodynamic interactions in maritime systems. Mikkola has contributed extensively to understanding ship stability, ice-structure interactions, and fluid-structure coupling in extreme conditions. His work bridges theoretical models with practical applications, addressing challenges like parametric roll resonance, air lubrication systems, and accidental load evaluations in maritime operations. His academic journey reflects a strong commitment to both education and research innovation. Current projects involve developing efficient numerical methods for predicting hydrodynamic behaviors, such as wave-structure interactions and slamming impacts. He collaborates on boundary element methods and FSI modeling to enhance ship design and safety standards. Despite no explicit mentions of awards or grants, his publications indicate active engagement in advancing naval architecture and marine engineering disciplines. Notable research interests include: optimizing computational models for marine systems, analyzing ship dynamics in extreme sea states, and improving teaching methodologies in fluid mechanics. His recent studies cover topics like energy-based ice load evaluation, two-way coupled FSI simulations for grounding incidents, and asymmetry in hull structural responses. These efforts aim to improve maritime safety, energy efficiency, and operational reliability through rigorous hydrodynamic analysis.

• Fluid Mechanics
• Computational Fluid Dynamics
• Ship Hydrodynamics
• +۳ مورد دیگر

Azeez Abdul Azeez is a researcher at Tampere University, specializing in AI-driven condition monitoring systems for mechanical and hydraulic components. His work focuses on integrating artificial intelligence with fluid power systems to enhance fault detection and predictive maintenance. He holds a Doctoral Degree in Mechanical Engineering from Tampere University (2025). Key research areas include gear pump simulation, hydraulic valve diagnostics, and electric drive structures. Research Interests His research interests revolve around the application of AI in mechanical systems, including: Condition Monitoring of Electro-Hydraulic Systems Simulation of Gear Pump Performance under Varying Complexity Sensorless Fault Classification in Hydraulic Valves Energy Efficiency in Off-Road Mobile Machines Main Findings His recent work highlights the importance of model complexity in gear pump simulations (2023), the impact of electric drive structures on hydraulic valve diagnostics (2023), and the potential of AI in non-road machine applications (2025). Collaborations include studies on multi-physics co-simulations of electric vehicles (2023) and offshore renewable energy feasibility in UAE (2021). Labs and Teams His research is conducted within Tampere University's Automation Technology and Mechanical Engineering department, often in collaboration with industry partners focusing on fluid power systems and sustainable energy.

• Condition Monitoring
• Artificial Intelligence (AI)
• Mechanical Engineering
• +۳ مورد دیگر

Alf Josefsen is a Senior Research Specialist and Research Services Expert at the University of Lapland's RDI Services department. His research interests span Decision Sciences, Energy Management, Administrative Science, Computer and Information Sciences, Public Law, and Other Engineering and Technologies. He has been actively involved in multiple projects since 2017, focusing on themes like smart urban environments, Arctic professions, and digital infrastructure in rural areas. Key projects include Kumppanuusmalli - Untangling People Flow for Smart and Sustainable Urban Environments (2023–2026) and ProSoc: The Professions in Arctic Societies (2017–present). His work often intersects with EU policy, public procurement, and interdisciplinary collaboration. Josefsen has published four major research outputs, including commissioned reports and master's theses on topics like digital services in Lapland and EU public procurement frameworks. Education: Master's theses in Offshore Technology (2005), Public Procurement Law (2019), and EU Contract Management (2020). Grants: Projects funded by Business Finland, Lapin liitto, and the University of Lapland. Activities: Participated in 50+ conferences, including events on cyber resilience, bioeconomy policies, and manufacturing digital transformation. Josefsen’s expertise bridges legal, technical, and administrative domains, with a focus on Arctic and rural development challenges.

• Decision Sciences
• Energy Management
• Administrative Science
• +۳ مورد دیگر

Mahdi Pourakbari Kasmaei is an Assistant Professor at the Department of Electrical Engineering and Automation, Aalto University. His research focuses on renewable energy integration, smart grid technologies, and optimization of energy systems. He has contributed significantly to the fields of electric vehicle infrastructure, power system reliability, and sustainable energy transition. Dr. Kasmaei has received multiple awards for peer review excellence, including Top Peer Reviewer (2019), Outstanding Reviewer for Energy Conversion and Management (2018), and Best Reviewer for IEEE Transactions on Smart Grid (2017). His work addresses challenges in grid resilience, energy storage systems, and multi-modal energy-transportation coupling. Research Interests: Optimal Power Flow and Stochastic Optimization Electric Vehicle Charging Management Offshore Wind and Hydrogen Production Photovoltaic Integration and Grid Stability Multi-Criteria Decision-Making in Energy Systems Recent Research Trends: Recent publications emphasize the synergy between transportation and energy systems, quantifying hosting capacity limits in distribution networks, and developing frameworks for green hydrogen production. His work often combines geospatial analysis (GIS) with fuzzy-AHP methods to optimize renewable energy siting. Awards: 2nd Best PhD Thesis Award (2015) Exceptional Student Award (2009) Ranked 1st in M.Sc. Electrical Engineering (2008) Advising & Grants: While specific student names aren't listed, his publications reflect collaborative research in energy systems optimization. Active grants include projects on EV routing-optimization and offshore wind-hydrogen integration. Labs/Teams: Involved in Power and Energy Systems research groups at Aalto University, focusing on cross-disciplinary solutions for decarbonization and grid modernization.

• Renewable Energy Systems
• Smart Grids
• Optimal Power Flow
• +۵ مورد دیگر

Mikko Suominen is an Assistant Professor at the Department of Energy and Mechanical Engineering , Aalto University , specializing in ship performance in ice and ice-induced loads on ship hulls . His work focuses on measurement methods and technologies for both model-scale and full-scale testing in icy environments. Expertise areas : Maritime Technology, Environmental Engineering, Mechanical Engineering Testing focus : Baltic Sea, Canadian Arctic, and Antarctic waters Methodologies : Model-scale testing, scaling methods, full-scale measurements Collaborations : Research groups in Marine and Arctic Engineering Contact: mikko.suominen@aalto.fi | Full profile

• Ship performance in ice
• Ice-induced loads on ship hulls
• Marine engineering
• +۴ مورد دیگر

Arttu Polojärvi is a tenured Associate Professor of Ice Mechanics at Aalto University's School of Engineering, Department of Mechanical Engineering. His expertise spans numerical ice mechanics, sea ice dynamics, and their applications to offshore structures, particularly in the context of climate change and renewable energy development. Research Focus: Dr. Polojärvi's work centers on numerical ice mechanics and failure processes of sea ice , with applications in estimating ice loads on offshore structures like wind turbines. He actively develops discrete element method (DEM)-based numerical tools while conducting experimental validation studies. His research bridges engineering-scale mechanical behavior with large-scale sea ice dynamics to understand climate change impacts on Arctic environments. Scientific Awards: Master thesis of the year 2006 - Helsinki University of Technology Teaching & Research Groups: He teaches courses in engineering mechanics and ice engineering, contributing to Aalto's Marine and Arctic Technology research group. His work supports the development of Arctic engineering competencies through higher education initiatives. Research Impact: His publications demonstrate a consistent focus on advancing understanding of ice-structure interactions, from fundamental fracture mechanics to applied engineering solutions for offshore renewable energy installations in ice-covered waters.

• Ice Mechanics
• Numerical Modeling
• Sea Ice Dynamics
• +۴ مورد دیگر

Ramin Ahmadi Kordkheili is a Project Employee in the Department of Electrical Engineering and Automation at Aalto University, specializing in Power Systems and High Voltage Engineering. He holds a Master's degree in Natural Sciences from Shiraz University (2018). His research focuses on renewable energy integration, energy storage systems, and optimizing wind farm operations in multi-sector markets. Key areas include hydro power plant dynamics, green hydrogen production, and offshore wind farm economics. Research contributions span 2015–2024, emphasizing energy market analysis, grid stability in low-inertia systems, and hydrogen production via electrolyzers. His doctoral thesis (2024) explores multi-alternative planning strategies for maximizing wind farm profitability in Nordic energy markets. Collaborations involve cross-disciplinary projects on gas-electricity market coupling and risk mitigation for renewable assets. No scientific awards are explicitly noted in the provided texts. Advising roles or lab affiliations are not detailed here, though his work involves extensive computational modeling and simulation studies. His research aligns with UN Sustainable Development Goals related to affordable clean energy and climate action.

• Power Systems
• Renewable Energy Integration
• Energy Storage
• +۴ مورد دیگر

Sakshi Devi serves as a Postdoctoral Researcher at Aalto University within the Department of Energy and Mechanical Engineering, actively contributing to the Marine and Arctic Technology research group. Her institutional affiliation centers on advanced engineering research in extreme environmental conditions. Her research specializes in Marine Technology and Arctic Technology, with critical applications in Mechanical Engineering systems and Energy Engineering solutions. This interdisciplinary work addresses engineering challenges in cold-climate and marine environments, focusing on structural integrity, energy efficiency, and technological innovation for sustainable operations in polar and oceanic regions. Her expertise bridges theoretical modeling with practical engineering applications for harsh environments. As a core member of the Marine and Arctic Technology research group, Dr. Devi collaborates on experimental and computational projects analyzing ice mechanics, offshore structures, and renewable energy systems adapted to Arctic conditions. The group maintains strong industry partnerships for real-world implementation of cold-climate engineering solutions.

• Marine Technology
• Arctic Technology
• Mechanical Engineering
• +۱ مورد دیگر