جستجوی استاد راهنمای دانشگاهی

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

Nada El Bouharrouti is a Doctoral Researcher at the Department of Electrical Engineering and Automation, Aalto University. Her work focuses on the intersection of electrical engineering and machine learning for mechanical defects analysis in industrial machinery. School: School of Electrical Engineering Department: Electrical Engineering and Automation Academic Rank: Researcher Research Interests: Driven by electromechanical systems and industrial diagnostics, her research emphasizes: Advanced vibration signal analysis for fault detection Machine learning applications in bearing defect classification Multi-physics simulation of induction machines Time-frequency representation techniques Predictive maintenance of industrial motors Data-driven monitoring system development Publication Trends: Recent articles highlight interdisciplinary approaches combining deep transfer learning, multi-rate signal processing, and 3D mechanical simulations to address bearing faults in induction machines. Collaborative work spans computational electromechanics and industrial automation domains. Contact: Email: nada.elbouharrouti@aalto.fi

• Electrical Engineering
• Machine Learning
• Mechanical Defects Analysis
• +۲ مورد دیگر

Professor Jussi Sopanen holds a DSc (Technology) from LUT University and has extensive experience in mechanical engineering and electric machine design. He currently leads the laboratory of Machine Dynamics and directs the LUT Integrated Energy Conversion Machinery (INERCOM) platform at the LUT School of Energy Systems. His research focuses on high-speed electric machines, rotordynamics, and digital twins, with over 125 publications in dynamic system design and simulation. He has supervised 12 doctoral and 57 master’s students, and his work has garnered 2,700+ citations with an h-index of 25. Education: DSc (Technology), LUT University (2004) Research interests include rotordynamics of high-speed drives, mechanical design of electrical machines, real-time multibody simulation, and digital twins. His work addresses challenges in rotor stability, bearing dynamics, and material selection for high-speed applications. Articles from 2023–2025 highlight advances in laminated rotor materials, fault diagnosis, and computational modeling. Professor Sopanen chairs the 12th IFToMM International Conference on Rotordynamics (2026) and serves on editorial boards, including Shock and Vibration . He leads a team exploring hybrid powertrains and energy-efficient machinery through collaborative platforms like INERCOM. His research bridges mechanical and electrical engineering, emphasizing practical applications in renewable energy and industrial systems.

• Rotordynamics
• Electrical Machines Design
• Multibody Simulation
• +۳ مورد دیگر

Pasi Peltoniemi is a Full Professor (tenured) in the Department of Electrical Engineering at Lappeenranta-Lahti University of Technology LUT. He is affiliated with the LUT School of Energy Systems, focusing on advanced research in Electrical and Electronic Engineering, Control Systems, and Power Electronics. His work emphasizes sustainable energy systems, particularly Low-Voltage Direct Current (LVDC) distribution networks and high-power converter technologies. His research spans power electronics, renewable energy integration, and grid-forming converter systems. Notable contributions include studies on multilevel inverters, SiC semiconductor applications, and energy management strategies for hybrid systems. He has pioneered LVDC distribution network designs, including fault protection, grounding schemes, and customer-end inverter optimization. Key research areas include: Advanced power electronics and converter topologies Grid stability and renewable energy integration Marine and industrial energy systems LVDC distribution infrastructure and standards His publications highlight trends in grid-forming voltage source converters, high-power charging systems, and microgrid control. Peltoniemi has contributed to international standards like LVDC rules and collaborated on projects such as the Congo Grand Inga hydroelectric evaluation. He leads research initiatives on energy storage systems, fault detection in power converters, and smart grid functionalities. His work integrates experimental validation (e.g., laboratory test setups) with theoretical models for system optimization. Labs/Teams: Active in LUT's LVDC research platform, focusing on utility network implementations and converter technology. Collaborates on projects like the On-Grid Hydrogen Production with Solar Energy in Nordic Conditions.

• Electrical and Electronic Engineering
• Control and Systems Engineering
• Power Electronics
• +۳ مورد دیگر

Jenni Pippuri-Mäkeläinen serves as Professor of Practice in the Department of Energy and Mechanical Engineering at Aalto University, specializing in practical applications for sustainable heavy machinery electrification. Her work bridges theoretical engineering with industrial implementation across mining, construction, and transportation sectors. Her research focuses on: Electrification of off-highway vehicles and mining equipment Electric/hybrid powertrain design for heavy-duty applications Mechatronic system integration and fault diagnosis Advanced simulation of electromechanical systems She develops solutions combining finite element analysis, multibody dynamics, and experimental validation to address real-world challenges in sustainable machinery. Analysis of her 2018-2025 publications reveals increasing emphasis on holistic system integration, with recent work prioritizing mining truck electrification feasibility, bearing defect simulation for predictive maintenance, and multi-speed transmission optimization for retrofitted trucks. Her research consistently addresses the mechanical-electrical interface in sustainable powertrains. She actively contributes to the Mechatronics research group, which focuses on interdisciplinary design of electromechanical systems for industrial applications through collaborative projects with machinery manufacturers.

• Electrification of Heavy Machinery
• Electric Powertrains
• Mechatronics
• +۳ مورد دیگر

Xinxin Yu is an Assistant Professor (tenure-track) at Tampere University's Faculty of Engineering and Natural Sciences, leading the Machine Dynamics Group and managing the Full-scale Wheel-rail Lab. Her expertise spans multibody dynamics, friction estimation, and vehicle dynamics integration with AI/computer vision. She holds a PhD from LUT University (2021) and has held postdoctoral positions at the University of Seville (Spain) and Delft University of Technology (Netherlands). Education: PhD in Mechanical Engineering, LUT University, 2021 (Distinction) Research Focus: Dr. Yu's work bridges classical engineering with modern tech, focusing on multibody dynamics, frictional contact estimation, and computational/experimental vehicle dynamics. She explores AI-driven solutions for dynamic system simulations in automotive and mechanical systems. Key areas include wheel-rail contact modeling, real-time track irregularity detection, and multiphysics modeling for forestry cranes. Awards: 2024: Best Theoretical Award (Honourable Mention) – MMT Symposium 2023: Marie Skłodowska-Curie Fellowship 2022: Lagrange Award (Honourable Mention) – Multibody System Dynamics Leadership & Editorial Roles: Editorial Board Member – Multibody System Dynamics Journal (2024–present) Associate Editor – Mechanism and Machine Theory Journal (2024–present) Chair Secretariat – IFToMM Multibody Dynamics Committee (2024–present) Labs/Teams: Leads the Full-scale Wheel-rail Lab and Machine Dynamics Group, collaborating on projects like DETECT4WE and DIGIWHEEL.

• Multibody Dynamics
• Vehicle Dynamics
• Friction Estimation
• +۴ مورد دیگر

Henrik Ebel is an Assistant Professor (Tenure Track) in Mechanical Engineering at Lappeenranta-Lahti University of Technology (LUT), specifically within the LUT School of Energy Systems. He joined LUT in 2024 after previously working at the University of Stuttgart's Institute of Engineering and Computational Mechanics from 2016 to 2024. Dr. Ebel's research focuses on the intersection of artificial intelligence, machine learning, and mechanical engineering, with particular emphasis on: Distributed cooperative robotics Model predictive control systems Non-holonomic robot control Data-driven approaches to mechanical engineering problems Automation systems development His research aims to bring cooperative robotics from laboratory settings to real-world applications in Finland, focusing on using multiple simple and cost-efficient robots that collaborate to solve problems rather than relying on single complex machines. He believes automation promotes sustainability through better energy conservation, generation, and storage compared to manual processes. His recent publications demonstrate consistent advancement in cooperative robotics, control systems, and machine learning applications in mechanical engineering. As an educator, Dr. Ebel supervises doctoral students and finds fulfillment in seeing them grow and succeed in their research. He values the human aspect of academia and enjoys teaching as a complement to his research work, noting that honing teaching skills helps him explain research better and pass on important future-oriented knowledge.

• Robotics
• Cooperative Robotics
• Model Predictive Control
• +۶ مورد دیگر